Calculation of deficit fluid requirements in children presenting with DKA (1)
\r\n\tBecause sodium is abundant in nature compared to lithium and cost-effective, Li-ion batteries are being replaced by Na-ion batteries. However, the ability of battery components to improve battery performance is still the biggest problem. Also, sodium has a larger atomic radius than lithium, it has inevitably limited its practical applications, created problems of low electrochemical reaction kinetics, and reduced cyclic stability for sodium-ion batteries. Although the design of new materials, the porosity, and 3D-printing of electrodes with applying structural engineering/modification and especially the solid-state production of electrolyte provide serious benefits to improve the Na-ion battery performance, it can still be said that it doesn’t give the desired outcome.
\r\n\r\n\tThis book aims to provide the most up-to-date and latest approaches to solving these problems, as well as to provide new solutions that may come across in the coming period. The systematic presentation of the roles and effects of effective strategies will also make the study interesting.
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The mortality and morbidity rates remain high worldwide, especially in developing countries and among non-hospitalized patients [2,3], which highlight the importance of early diagnosis and implementation of effective preventive and management strategies. The adage "The child is not a miniature adult" is most appropriate when considering DKA. The fundamental pathophysiology of DKA is the same in children as in adults; however, the child differs from the adult in a number of characteristics which raise some important considerations in management [2].
The purpose of this chapter is to briefly review the pathophysiology of DKA and discuss recommended treatment protocols and current standards of care pertaining to children, adolescents and adults with type 1 or 2 diabetes presenting with DKA. The information provided is based on evidence from published studies and internationally accepted guidelines whenever possible and, when not, supported by expert opinion or consensus [1-5]. Current concepts of cerebral edema, recommendations and strategies for the prediction and prevention of DKA and hence its complications are finally presented.
The considerations and recommendations included are in agreement with those endorsed by the American Diabetes Association (ADA), Lawson Wilkins Pediatric Endocrine Society (LWPES), European Society for Pediatric Endocrinology (ESPE), and the International Society for Pediatric and Adolescent Diabetes (ISPAD) [2-5]. Thus, this book chapter will provide easy and practical information to guide healthcare professional who manage DKA in all age groups.
Hyperglycemia (blood glucose >11 mmol/L [200 mg/dL])
Venous pH <7.3 and/or bicarbonate <15 mmol/L
Ketonemia and ketonuria
Diabetic ketoacidosis (DKA) results from absolute or relative deficiency of circulating insulin and the combined effects of increased levels of the counterregulatory hormones: catecholamines, glucagon, cortisol and growth hormone [5].
undiagnosed type 1 diabetes mellitus (T1DM); DKA is reported be the first presentation in about 25% of cases especially in those less than 5 years old [ 2 ].
patients on treatment who miss their insulin doses, especially the long-acting component of a basal-bolus regimen. It is estimated that 75% of DKA episodes are associated with insulin omission or treatment error [6].
patients who use insulin pump if insulin delivery fails [7].
sepsis,
trauma, or
gastrointestinal illness with diarrhea and vomiting.
The combination of low serum insulin and high counterregulatory hormone concentrations results in an accelerated catabolic state with increased glucose production by the liver and kidney (via glycogenolysis and gluconeogenesis), impaired peripheral glucose utilization resulting in hyperglycemia and hyperosmolality, and increased lipolysis and ketogenesis, causing ketonemia and metabolic acidosis [4].
Hyperglycemia and hyperketonemia cause osmotic diuresis, dehydration, and electrolyte loss. This stimulates stress hormone production, which induces insulin resistance and leads to a vicious circle, worsening the hyperglycemia and hyperketonemia. Fatal dehydration and metabolic acidosis will ensue if management is not initiated. Poor tissue perfusion or sepsis may lead to lactic acidosis which can aggravate the ketoacidosis [5].
At presentation, the magnitude of specific deficits of fluid and electrolytes in an individual patient varies depending upon the extent to which the patient was able to maintain intake of fluid and electrolytes, and the content of food and fluids consumed before coming to medical attention and the duration and severity of illness [8].
There is wide geographic variation in the frequency of DKA at onset of diabetes; rates inversely correlate with the regional incidence of type 1 diabetes. Frequencies range from 15 to 70% in different regions of the world [9 -14].
At disease onset
DKA at diagnosis of type 1 diabetes occurs more commonly in [15,16]:
children younger than four years of age
children with absent first-degree relative with T1DM and
families of a lower socioeconomic class
Type 2 diabetes mellitus (T2DM), associated with increased rates and severity of obesity, may account for as much as one half of newly diagnosed diabetes in those aged 10 to 21 years, depending on the socioeconomic and ethnic composition of the population [2]. Acute decompensation with DKA has been recognized to occur at the time of diagnosis in as many as 25% of children with type 2Diabetes Mellitus (T2DM0 [17].
The risk of DKA in established T1DM is 1–10% per patient per year
Risk is increased in the following conditions [18 ]:
poor metabolic control or previous episodes of DKA
peripubertal and adolescent girls
psychiatric disorders, including those with eating disorders
difficult or unstable family circumstances
omission of insulin
limited access to medical services
insulin pump therapy
Although DKA is defined by the biochemical triad of ketonemia, hyperglycemia and acidemia, several exceptions do exist which may provide a diagnostic dilemma for the physician in the emergency room. Examples of such are:
Hyperglycemic hyperosmolar state (HHS), also referred to as hyperosmolar nonketotic coma, may occur in young patients withT2DM, but rarely in T1DM subjects. The criteria for HHS include [20-22]:
plasma glucose concentration >33.3 mmol/L (600 mg/dL)
arterial pH >7.30
serum bicarbonate >15 mmol/L
small ketonuria, absent to mild ketonemia
effective serum osmolality >320 mOsm/kg
stupor or coma
It is important to recognize that overlap between the characteristic features of HHS and DKA may occur. Some patients with HHS, especially when there is very severe dehydration, have mild or moderate acidosis. Conversely, some children with T1DM may have features of HHS (severe hyperglycemia) if high carbohydrate containing beverages have been used to quench thirst and replace urinary losses prior to diagnosis [22].
Other diagnostic difficulties may be faced in the very young age such as the following [2]:
Polyuria, polydipsia and weight loss which are characteristic features of diabetes are difficult to demonstrate in the very young.
up to 70% of the young have DKA as a first presentation, hence, at presentation, duration of DKA is usually longer, dehydration and acidosis are more severe, as young children have relatively higher basal metabolic rate, and a relatively large surface area relative to body mass.
Measurement of blood ß-hydroxybutyrate (ß -OHB) concentration, may not be available in all labs, besides, urine Ketone testing can be misleading due the following reasons [2,4]:
The used method does not detect the major ketone body B-hydroxybutyrate. (sodium nitroprusside only measures acetoacetate and acetone). Serum ß-OHB concentrations, may be increased to levels consistent with DKA when a urine ketone test is negative or shows only trace or small ketonuria
The readings are qualitative depending on color comparisons
High doses of Vitamin C may cause false-negative results, while some drugs may, on the other hand, give false-positive results.
Management of DKA should be mainly directed to correction of acidosis. Immediate aims of management include [1,4]:
Expansion of the intravascular volume
Correction of deficit in fluids, electrolyte & acid base status
Initiation of Insulin therapy
Assessment and monitoring of therapy
The child with DKA should receive care in a unit that has:
Experienced nursing staff trained in DKA management
Written guidelines for DKA management
Access to laboratories that can provide frequent and timely measurements of biochemical variables
A specialist/consultant pediatrician experienced in the management of DKA should supervise inpatient management [4].
Children with severe DKA or those at high risk for cerebral edema should be treated in an intensive care unit (pediatric, if available) or in a unit that has equivalent resources and supervision, such as a children’s ward specializing in diabetes care [4].
In a child with established diabetes, whose parents have been trained in sick day management, and who presents with mild DKA, can be managed in an outpatient health care facility (e.g., emergency ward), provided an experienced diabetes team supervises the care [15].
Clinically evaluate the patient to confirm the diagnosis and determine its cause. Carefully look for evidence of infection.
Assess level of consciousness
Weigh the patient.
Assess clinical severity of dehydration. Signs of dehydration include dry mucus membranes, sunken eyes, absent tears, weak pulses, and cool extremities. The three most useful individual signs for assessing dehydration in young children and predicting at least 5% dehydration and acidosis are:
prolonged capillary refill time (normal capillary refill is < 1.5-2 seconds)
abnormal skin turgor (’tenting’ or inelastic skin)
hyperpnea
.≥10% dehydration is suggested by the presence of weak or impalpable peripheral pulses, hypotension, and oliguria.
Obtain a blood sample for laboratory measurement of serum or plasma glucose, electrolytes, bicarbonate, blood urea nitrogen, creatinine, osmolality, venous (or arterial in critically ill patient) pH, partial pressure of Carbon dioxide( pCO2), calcium, phosphorus, and magnesium concentrations (if possible), Glycosylated Hemoglobin (HbA1c), hemoglobin and hematocrit or complete blood count.
Increased serum urea nitrogen and hematocrit may be useful markers of the severity of extracellular fluid (ECF) contraction.
It has to be noted that an elevated white blood cell count in response to stress is characteristic of DKA and is not necessarily indicative of infection [24].
Metabolic acidosis being an important landmark of DKA is also helpful to grade the severity of the condition and hence the prognosis by assessing its degree as follows [15]:
Mild DKA: venous pH <7.3 or bicarbonate <15 mmol/L
Moderate DKA: pH <7.2, bicarbonate <10 mmol/L
Severe DKA: pH <7.1, bicarbonate <5 mmol/L
Perform a urinalysis for ketones.
Measurement of blood ß-OHB concentration, if available, is useful to confirm ketoacidosis and may be used to monitor the response to treatment [25].
Obtain appropriate specimens for culture (blood, urine, throat), if there is evidence of infection.
If laboratory measurement of serum potassium is delayed, perform an electrocardiogram (ECG) for baseline evaluation of potassium status.
Secure the airway and empty the stomach by continuous nasogastric suction to prevent pulmonary aspiration, in case there is deterioration in conscious level.
A peripheral intravenous (IV) catheter should be placed for convenient and painless repetitive blood sampling. An arterial catheter may be necessary in some critically ill patients managed in an intensive care unit.
Perform continuous electrocardiographic monitoring to assess T-waves for evidence of hyper- or hypokalemia
Give oxygen to patients with severe circulatory impairment or shock
Give antibiotics to febrile patients after obtaining appropriate cultures of body fluids
Catheterize the bladder if the child is unconscious or unable to void on demand (e.g., infants and very ill young children)
Meticulous monitoring of the patient’s clinical and biochemical response to treatment is mandatory for timely adjustments in treatment as indicated by the patient’s clinical or laboratory data. Documentation on a flow chart of hour-by-hour clinical observations, IV and oral medications, fluids, and laboratory results is very helpful.
Monitoring should include the following [4]:
Hourly (or more frequently as indicated) vital signs (heart rate, respiratory rate, blood pressure)
Hourly (or more frequently as indicated) neurological observations for warning signs and symptoms of cerebral edema. The latter include:
Headache
recurrence of vomiting
change in neurological status (restlessness, irritability, increased drowsiness, incontinence) or specific neurologic signs (e.g., cranial nerve palsies, abnormal pupillary responses)
inappropriate slowing of heart rate
rising blood pressure
decreased oxygen saturation
Amount of administered insulin
Hourly (or more frequently as indicated) accurate fluid input (including all oral fluid) and output.
Capillary blood glucose should be measured hourly (but must be cross-checked against laboratory venous glucose, as capillary methods may be inaccurate in the presence of poor peripheral circulation and acidosis).
Serum electrolytes, glucose, blood urea nitrogen, hematocrit and blood gases should be repeated 2-hourly for the first 12 hours, or more frequently, as clinically indicated, in more severe cases.
Urine ketones until cleared or blood ß-OHB concentrations, if available, every 2 hours
If the laboratory cannot provide timely results, a portable biochemical analyzer that measures plasma glucose, serum electrolytes and blood ketones on fingerstick blood samples at the bedside is a useful adjunct to laboratory-based determinations [2].
Therefore, it is important to calculate the corrected sodium (using the above formula) and monitor its changes throughout the course of therapy. As the plasma glucose concentration decreases after administering fluid and insulin, the measured serum sodium concentration should increase (positive sodium load), but it is important to appreciate that this does not indicate a worsening of the hypertonic state. A failure of measured serum sodium levels to rise or a further decline in serum sodium levels with therapy is thought to be a potentially ominous sign of impending cerebral edema
Restoration of circulating volume
Replacement of sodium and the ECF and intracellular fluid deficit of water
Improved glomerular filtration with enhanced clearance of glucose and ketones from the blood
Reduction of risk of cerebral edema
Establish two I.V. lines: one for fluids and electrolytes and the other for insulin infusion
Shock with hemodynamic compromise is rare in pediatric DKA. If the patient is shocked, administer shock therapy: 10 ml/Kg 0.9% normal saline (or Ringer\'s lactate or acetate) through a large bore cannula, over 0.5 hr. Re-assess the patient and repeat up to a maximum of 30 ml/kg if necessary, with reassessment after each bolus.
The volume and rate of administration depends on circulatory status and, where it is clinically indicated.
Deficit Fluid Requirements :
Patients with DKA have a deficit in extracellular fluid (ECF) volume that usually is in the range 5–10%. Clinical estimates of the volume deficit are subjective and inaccurate, therefore, in moderate DKA use 5–7%and in severe DKA 7–10% dehydration [4].
- Assess the degree of dehydration and calculate the deficit (% dehydration x body weight) considering the age of the patient as shown in Table 1.
\n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n||
\n\t | Degree | \n\tFluids | \n\tDegree | \n\tFluids | \n
Mild | \n\t5% | \n\t50 ml/kg | \n\t3% | \n\t30 ml/kg | \n
Moderate | \n\t8% | \n\t80 ml/kg | \n\t5% | \n\t50 ml/kg | \n
Severe | \n\t10% | \n\t100 ml/kg | \n\t8% | \n\t80 ml/kg | \n
Calculation of deficit fluid requirements in children presenting with DKA (1)
Maintenance Fluid Requirements:
\n\t\t\t | \n\t\t\n\t\t\t | \n\t
0-2 | \n\t\t80 ml/kg/24hr | \n\t
3-5 | \n\t\t70 ml/kg/24hr | \n\t
6—9 | \n\t\t60 ml/kg/24hr | \n\t
10-14 | \n\t\t50 ml/kg/24hr | \n\t
Adult ("/>15) | \n35 ml/kg/24hr | \n
Calculation of maintenance fluid requirements (1)
Total working fluid = deficit + maintenance (calculated for 48 hours)
Type of fluids
- If blood glucose is over 300 mg/dl, start with isotonic saline, then when blood glucose goes down to 250 mg/dl, add glucose 5% to isotonic saline in a 1:1 ratio if acidosis is corrected. If acidosis is not corrected, add glucose 10% to isotonic saline in 1:1 ratio.
- In case of hyperosmolarity (> 340 mosm/kg), or if corrected Na is 155 mEq/l or more, use half normal saline (0.45% ) instead of normal saline (0.9%), to prevent cerebral edema but only after correction of shock and severe dehydration. It is advisable to use it after 6 hours from initiation of fluid therapy.
There is no convincing evidence of an association between the rate of fluid or sodium administration used in the treatment of DKA and the development of cerebral edema [26]. No treatment strategy can be definitively recommended as being superior to based on evidence. The principles described below were endorsed by a panel of expert physicians representing the Lawson Wilkins Pediatric Endocrine Society (LWPES), the European Society for Paediatric Endocrinology (ESPE), and the International Society for Pediatric and Adolescent Diabetes (ISPAD) [4,5].
Water and salt deficits must be replaced
IV or oral fluids that may have been given in another facility before assessment should be factored into calculation of deficit and repair
In addition to clinical assessment of dehydration, calculation of effective osmolality may be valuable to guide fluid and electrolyte therapy.
Urinary losses should not routinely be added to the calculation of replacement fluid, but may be necessary in rare circumstances.
The use of large amounts of 0.9% saline has been associated with the development of hyperchloremic metabolic acidosis [27].
Regardless of the type of diabetes, the child who presents with severe fasting hyperglycemia, metabolic derangements, and ketonemia will require insulin therapy to reverse the metabolic abnormalities [2]
DKA is caused by a decrease in effective circulating insulin associated with increases in counter-regulatory hormones {glucagon, catecholamines, growth hormone (GH), cortisol}. Although rehydration alone causes some decrease in blood glucose concentration, insulin therapy is essential to normalize blood glucose and suppress lipolysis and ketogenesis [1].
Extensive evidence indicates that ‘
Start insulin infusion 1–2 hours after starting fluid replacement therapy; i.e. after the patient has received initial volume expansion [28].
Dose: 0.1 unit/kg/hour (for example, one method is to dilute 50 units regular [soluble] insulin in 50 mL normal saline, 1 unit = 1 mL)
Route of administration IV
An IV bolus is unnecessary, may increase the risk of cerebral edema, and should not be used at the start of therapy
The dose of insulin should usually remain at 0.1unit/kg/hour at least until resolution of DKA (pH >7.30, bicarbonate >15 mmol/L and/or closure of the anion gap), which invariably takes longer than normalization of blood glucose concentrations.
If the patient demonstrates marked sensitivity to insulin (e.g., some young children with DKA, patients with HHS, and some older children with established diabetes), the dose may be decreased to 0.05 unit/kg/hour, or less, provided that metabolic acidosis continues to resolve.
To prevent an unduly rapid decrease in plasma glucose concentration and hypoglycemia, 5% glucose should be added to the IV fluid (e.g., 5% glucose in 0.45% saline) when the plasma glucose falls to approximately 250–300 mg/dL, or sooner if the rate of fall is precipitous.
It may be necessary to use 10% or even 12.5% dextrose to prevent hypoglycemia while continuing to infuse insulin to correct the metabolic acidosis. The fall of blood glucose should not exceed 100 mg per hour. If blood glucose drops more than 100 mg/hr, reduce insulin infusion to 0.05 U/kg/hr. Aim to keep blood glucose at about 11 mmol/L (200 mg/dL) until resolution of DKA
If biochemical parameters of DKA (pH, anion gap) do not improve, reassess the patient, review insulin therapy, and consider other possible causes of impaired response to insulin; e.g., infection, errors in insulin preparation.
In circumstances where continuous IV administration is not possible, hourly or 2-hourly subcutaneous (SC) or intramuscular (IM) administration of a short- or rapid-acting insulin analog (insulin lispro or insulin aspart) is safe and may be as effective as IV regular insulin infusion, but should not be used in subjects whose peripheral circulation is impaired.
Pathophysiology of potassium depletion in DKA [4]
Children with DKA suffer total body potassium deficits of the order of 3 to 6 mmol/kg. The major loss of potassium is from the intracellular pool.
Intracellular potassium is depleted because of the following factors:
increased plasma osmolality drags water and potassium out of cells
glycogenolysis and proteolysis secondary to insulin deficiency cause potassium efflux from cells
Potassium is lost from the body from vomiting and as a consequence of osmotic diuresis.
Volume depletion causes secondary hyperaldosteronism, which promotes urinary potassium excretion.
- Despite potassium depletion, at presentation, serum potassium levels may be normal, increased or decreased. Renal dysfunction, by enhancing hyperglycemia and reducing potassium excretion, contributes to hyperkalemia. Administration of insulin and the correction of acidosis will drive potassium back into the cells, decreasing serum levels. The serum potassium concentration may decrease abruptly, predisposing the patient to cardiac arrhythmias.
Guidelines of Potassium supplementation [1]
Replacement therapy is required regardless of the serum potassium concentration
If the patient is hypokalemic, start potassium replacement at the time of initial volume expansion and before starting insulin therapy. Otherwise, start replacing potassium after initial volume expansion and concurrent with starting insulin therapy.
If the patient is hyperkalemic, postpone potassium replacement until the patient voids urine
If immediate serum potassium measurements are unavailable, an ECG may help to determine whether the child has hyper- or hypokalemia. Flattening of the T wave, widening of the QT interval, and the appearance of U waves indicate hypokalemia. Tall, peaked, symmetrical, T waves and shortening of the QT interval are signs of hyperkalemia.
The starting potassium concentration in the infusate should be 40 mmol/L or 20 mmol potassium/L in the patient receiving fluid at a rate >10 mL/kg/h. Subsequent potassium replacement therapy should be based on serum potassium measurements.
Potassium replacement should continue throughout IV fluid therapy. The maximum recommended rate of intravenous potassium replacement is usually 0.5 mmol/kg/hr
If hypokalemia persists despite a maximum rate of potassium replacement, reduce the rate of insulin infusion
Phosphate is lost as a result of osmotic diuresis in DKA. Plasma phosphate levels fall after starting treatment by insulin, which promotes entry of phosphate into cells.
Prospective studies have not shown clinical benefit from phosphate replacement. Severe hypophosphatemia in conjunction with unexplained weakness should be treated. Administration of phosphate may induce hypocalcemia. Potassium phosphate salts may be safely used as an alternative to or combined with potassium chloride or acetate, provided that careful monitoring of serum calcium is performed to avoid hypocalcemia [2]
Severe metabolic acidosis is hazardous leading to decreased myocardial performance, decreased response of respiratory center, peripheral and cerebral vasodilatation and life threatening hyperkalemia. Nevertheless, it can be reversible by fluid and insulin replacement; insulin stops further ketoacid production and allows ketoacids to be metabolized, which generates bicarbonate. Treatment of hypovolemia improves tissue perfusion and renal function, thereby increasing the excretion of organic acids[1].
Controlled trials have shown no clinical benefit from bicarbonate administration. Moreover, bicarbonate therapy may be more hazardous than acidosis itself. It can cause paradoxical CNS acidosis and promotes intracellular acidosis and cerebral edema. Moreover, rapid correction of acidosis with bicarbonate causes hypokalemia, while sodium overload can result in increasing osmolality. Late alkalemia can lead to shift of oxygen dissociation curve to the left, with impaired O2 delivery to the tissues & increased anaerobic glycolysis[4].
Nevertheless, there may be selected patients who may benefit from cautious alkali therapy[1]. These include: patients with severe acidemia (arterial pH <6.9) in whom decreased cardiac contractility and peripheral vasodilatation can further impair tissue perfusion, and patients with life-threatening hyperkalemia
Bicarbonate administration is not recommended unless the acidosis is profound and likely to affect adversely the action of adrenaline/epinephrine during resuscitation.
If bicarbonate is considered necessary, cautiously give 1–2 mmol/kg over 60 minutes.
Oral fluids should be introduced only when the clinical condition has become stable, however mild acidosis/ketosis may still be present.
When oral fluid is tolerated, IV fluid should be reduced and change to SC insulin is planned.
To prevent rebound hyperglycemia the first SC injection should be given 15–30 minutes (with rapid acting insulin) or 1–2 hours (with regular insulin) before stopping the insulin infusion to allow sufficient time for the insulin to be absorbed. With intermediate- or long-acting insulin, the overlap should be longer and the IV insulin gradually lowered. For example, for patients on a basal-bolus insulin regimen, the first dose of basal insulin may be administered in the evening and the insulin infusion is stopped the next morning.
After transitioning to SC insulin, frequent blood glucose monitoring is required to avoid marked hyperglycemia and hypoglycemia [2].
The mortality rate from DKA in children is 0.15% to 0.30% [11,12]. Cerebral edema accounts for 60% to 90% of all DKA deaths [13,14]. Ten % to 25% of survivors of cerebral edema have significant residual morbidity [29]
Other rare causes of morbidity and mortality include:
Hypokalemia
Hyperkalemia
Severe hypophosphatemia
Hypoglycemia
Other central nervous system complications (disseminated intravascular coagulation, dural sinus thrombosis, basilar artery thrombosis)
Peripheral venous thrombosis
Sepsis
Rhinocerebral or pulmonary mucormycosis
Aspiration pneumonia
Pulmonary edema
Adult respiratory distress syndrome (ARDS)
Pneumothorax, pneumomediastinum and subcutaneous emphysema
Rhabdomyolysis
Acute renal failure
Acute pancreatitis [30]
Cerebral edema is responsible for the majority of deaths related to DKA in children, and significant neurologic morbidity persists in many of the survivors. The incidence of cerebral edema in national population studies is 0.5–0.9% and the mortality rate is 21–24%.The pathogenesis of both its initiation and progression is unclear and incompletely understood, although a number of mechanisms have been proposed. These include cerebral ischemia and hypoxia, fluid shifts caused by inequalities in osmolarity between the extravascular and intravascular intracranial compartments, increased cerebral blood flow, and altered membrane ion transport. Demographic factors that have been associated with an increased risk of cerebral edema include [13,14,29]:
Newly diagnosed cases
Young age: < 5 years old
Longer duration of symptoms
Prolonged illness
Extended history of poor metabolic control
Severe acidosis (initial pH < 7.1)
Greater hypocapnia after adjusting for degree of acidosis
High Blood urea nitrogen
Severe dehydration
Abnormal mental status
Rapid rehydration (> 50cc/ kg in first 4 hrs)
Bicarbonate therapy for correction of acidosis
Insulin administration in the first hour of therapy
Severe Hypernatremia
Persistent hyponatremia
An attenuated rise in measured serum sodium concentrations during therapy
Non closure of the anion gap
Headache & slowing of heart rate
Change in neurological status (restlessness, irritability, increased drowsiness, incontinence)
Specific neurological signs (e.g., cranial nerve palsies)
Rising blood pressure
Decreased oxygen saturation
Clinically significant cerebral edema usually develops 4–12 hours after treatment has started, but can occur before treatment has begun or, rarely, may develop as late as 24–48 hours after the start of treatment. Symptoms and signs are variable. A method of clinical diagnosis based on bedside evaluation of neurological state is shown below [23]:
Abnormal motor or verbal response to pain
Decorticate or decerebrate posture
Cranial nerve palsy (especially III, IV, and VI)
Abnormal neurogenic respiratory pattern (e.g., grunting, tachypnea, Cheyne-Stokes respiration, apneusis)
Altered mentation/fluctuating level of consciousness
Sustained heart rate deceleration (decrease more than 20 beats per minute) not attributable to improved intravascular volume or sleep state
Age-inappropriate incontinence
Vomiting
Headache
Lethargy or not easily arousable
Diastolic blood pressure >90 mm Hg
Age <5 years
One diagnostic criterion, two major criteria, or one major and two minor criteria have a sensitivity of 92% and a false positive rate of only 4%.
A chart with the reference ranges for blood pressure and heart rate, which vary depending on height, weight, and gender, should be readily available, either in the patient\'s chart or at the bedside.
Start as early as you suspect the condition, do not delay treatment until radiographic evidence
Transfer to the ICU (if not already there)
Restrict IV fluids to 2/3 maintenance and replace deficit over 72 hr rather than 24 hr
Give mannitol 0.5-1 g/kg IV (2.5 ml/kg of 20% solution) over 20 minutes and repeat after 6 hours, if there is no initial response in 30 minutes to 2 hours
Hypertonic saline (3%), 5-10 mL/kg over 30 minutes, may be an alternative to mannitol or a second line of therapy if there is no initial response to mannitol
Elevate the head of the bed
Intubation may be necessary for the patient with impending respiratory failure, but aggressive hyperventilation (to a pCO2 <2.9 kPa [22 mm Hg]) has been associated with poor outcome and is not recommended.
After treatment for cerebral edema has been started, a cranial CT scan should be obtained to rule out other possible intracerebral causes of neurologic deterioration (10% of cases), especially thrombosis or hemorrhage, which may benefit from specific therapy.
Home measurement of blood ß –OHB concentrations, when compared to urine ketone testing, decreases diabetes-related hospital visits (both emergency department visits and hospitalizations) by the early identification and treatment of ketosis. Blood ß -OHB measurements may be especially valuable to prevent DKA in patients who use a pump because interrupted insulin delivery rapidly leads to ketosis. There may be dissociation between urine ketone (sodium nitroprusside only measures acetoacetate and acetone) and serum ß -OHB concentrations, which may be increased to levels consistent with DKA when a urine ketone test is negative or shows only trace or small ketonuria [4].
A psychiatric social worker or clinical psychologist should be consulted to identify the psychosocial reason(s) contributing to development of DKA. Insulin omission can be prevented by schemes that provide education, psychosocial evaluation and treatment combined with adult supervision of insulin administration. Diabetes education of the child and his/her family is the cornerstone to prevent DKA occurrence and recurrence.
DKA is the first presentation of ~25% of young diabetics. Cerebral edema is a major risk causing mortality and morbidity.
The child is not a miniature adult. Children and adolescents with DKA should be managed in centers experienced in treatment and monitoring of DKA.
Successful management of DKA requires meticulous monitoring of the patient’s clinical and biochemical response to treatment so that timely adjustments in treatment can be made when indicated by the patient’s clinical or laboratory data
Fluid administration should rehydrate evenly over 48 hours at a rate rarely in excess of 1.5–2 times the usual daily maintenance requirement.
Begin insulin infusion with 0.1 U/kg/h. 1–2 hours after starting fluid replacement therapy. Increase the amount of glucose administered if blood glucose is falling too rapidly or acidosis is not resolving.
Even with normal or high levels of serum potassium at presentation, there is always a total body deficit of potassium. Begin with 40 mmol potassium/L in the infusate or 20 mmol potassium/L in the patient receiving fluid at a rate >10 mL/kg/h.
There is no evidence that bicarbonate is either necessary or safe in DKA. It is used cautiously in severe acidemia (arterial pH <6.9) and in life-threatening hyperkalemia
Despite much effort to identify the cause of cerebral edema, its pathogenesis is incompletely understood. Further research is needed in this area.
In case of profound neurological symptoms, Mannitol should be given immediately.
All cases of recurrent DKA are preventable
Worldwide, cardiovascular diseases (CVDs) are leading morbidity and mortality burdens. It has been estimated that 17.9 million people die from CVDs each year, representing 32% of all global deaths. The World Health Organization (WHO) defines CVDs as a group of disorders that include coronary artery disease (CAD), cerebrovascular disease, peripheral arterial disease, rheumatic heart disease, congenital heart disease, deep vein thrombosis, and pulmonary embolisms [1]. The world’s biggest killer of all is ischemic heart disease, or CAD, responsible for 16% of the world’s total deaths [2]. According to a statistical report published in 2020, the global prevalence of CAD was estimated at 1655 per 100,000 people and is predicted to exceed 1845 by 2030 [3]. In the United States, CAD accounts annually for approximately 610,000 deaths and costs more than 200 billion dollars for healthcare [4].
As most CAD patients are elderly and have multiple comorbidities, they need to use medication combinations over long periods, either for treatment or prophylaxis [5, 6]. One of the major strategies used for preventing CAD is antiplatelet therapy, and the most widely used antiplatelet agent tested is aspirin [6]. However, the therapeutic window of CAD drugs is very small, and inappropriate use can lead to many consequences that affect patients’ health. For instance, aspirin plays a role in reducing the risk of cardiovascular events, but it also increases the risk of bleeding, the most common risk being gastrointestinal bleeding [7, 8]. Therefore, despite the benefit of the drug, it also causes problems that adversely affect health. Old age, polypharmacy, and comorbidities are significant risk factors for developing drug-related problems (DRPs) [9, 10].
A drug-related problem (DRP) has been defined as “an event or circumstance involving drug therapy that actually or potentially interferes with desired health outcomes” [11]. DRPs can have many negative consequences for patients and society, such as decreased quality of life for patients, increased hospitalization rates, prolonged hospital stays, increased overall healthcare costs, and even increased risk of morbidity and mortality [12, 13, 14]. For example, warfarin and oral antiplatelet agents have been reported to be implicated in nearly 50% of emergency hospital admissions of elderly Americans [15].
A further serious consequence of DRPs is the economic burden. DRPs accounted for a waste of $528.4 billion, equivalent to 16% of total US healthcare expenditures [16]. In studies of CVDs, the prevalence of patients with at least one DRP varied from nearly 30% to more than 90% [17, 18, 19]. A systematic review of DRPs concluded that the drugs most commonly involved were cardiovascular drugs [12]. In CAD patients, the drugs most implicated in DRPs were beta-blockers (BBs) (34.4%), followed by angiotensin-converting enzyme inhibitors (ACEI) (24.8%), statins (16.5%), and antithrombotics (13.1%) [20]. Different drugs are often associated with several different common DRPs. To illustrate, BBs were frequently involved in ineffective drug therapy, too low dosage, and the need for additional drug therapy, while ACEIs were commonly associated with too low dosage [20]. Studies in Ethiopia, Vietnam, and Spain have estimated that the mean numbers of DRPs for each patient with CAD were about 0.75, 0.92, and 1.51, respectively [17, 18, 21]. The prevalence of CAD patients with at least one DRP was 61.1% [21]. These statistics are relatively high and represent an alarming frequency of DRPs in patients with CAD. DRPs must therefore be noticed and recognized by healthcare professionals.
This chapter separates DRPs in CAD patients into 5 common subtypes: drug selection, dose selection, adverse drug-drug interactions (DDI), patient adherence, and cost issues. We also discuss determinants that increase the ratio of DRPs, and list interventions to limit their prevalence. Our goal is to provide health care providers with an overview of the extent of DRPs and their common types; these must be considered to ensure the safety and effectiveness of drug therapy.
Inappropriate drug selection is a common type of DRP in patients with CAD; it mainly includes ineffective drug therapy, a need for additional drug therapy, and prescription of drugs with contraindications. In an Ethiopian study, O.A. Abdela et al. found that, globally, the most common category of DRPs was inappropriate drug selection for CVDs (36.1%), and in particular for CAD (46.6%) [17]. Studies in Spain and Vietnam showed the prevalence of inappropriate drug selection of 19.4% and 3.5% for CAD patients [18, 21]. Inappropriate drug selection can have several causes. A study in Indonesia found that clinicians’ critical factor influencing statin prescribing was their lack of awareness of specific details in current guideline recommendations. Although clinicians generally know the guidelines, they remain uncertain about how to determine the level of total cholesterol in combination with other cardiovascular risk factors like diabetes and hypertension [22].
Ineffective drug therapy occurs when the drug product used is not effective for the treatment of the medical condition [23]. A need for additional drug therapy exists when the medical condition requires additional drugs to achieve synergistic or additive effects [23]. A study by A.W. Tsige et al. in Ethiopia showed that among DRPs, the prevalence of need for additional drug therapy was 30.53%, and ineffective drug therapy was 26.9% [24]. In the Netherlands, J. Tra et al. conducted a study of prescriptions for patients discharged after CADs. They found that the angiotensin-converting enzyme inhibitor, one of the most important drugs in the prescribing guideline, was often missing (21.2%) [25]. In patients who have had acute coronary syndromes, it is vital to follow prescribing guidelines for secondary prevention to avoid further serious cardiovascular events. For example, according to a study on the prescription of secondary preventative cardiovascular therapies for non-ST elevation myocardial infarction (NSTEMI), adenosine-diphosphate receptor antagonist prescribing rates had significantly increased (76%) [26]. On the other hand, a study evaluating patient adherence to prescription guidelines after acute coronary syndrome indicated that adherence to lipid-lowering therapy was the lowest. The percentage of adherence to the criterion: ‘Patient regardless of lipid level is prescribed a high-intensity statin either atorvastatin 40–80 mg or rosuvastatin 20–40 mg’, was only 16.7% in the post-ST elevation myocardial infarction group, and 33.3% in the post-non-ST elevation acute coronary syndrome group [27]. A Canadian study found that only 61% of patients with stable coronary artery disease received optimal drug therapy involving concurrent use of β-blockers, ACE inhibitor/angiotensin receptor blockers, and statins [28]. Failure to prescribe drugs that should be indicated for treatment or prevention reduces the effectiveness of treatment. For example, after myocardial infarction, patients who have conditions like heart failure, pulmonary disease, and older age are often prescribed beta-blockade therapy, which is ineffective. However, patients without these conditions benefit from such therapy [29]. Ineffective drug therapy and a need for additional drugs can lead to increased medical costs, potential drug interactions, and decreased patient adherence [30].
Medicines that cause harm to the patient or negative interaction with a combination drug are called contraindicated medicines [31]. In a multicenter study in France, research on physicians’ acceptance of pharmacists’ daily routine interventions revealed that contraindication was the most identified DRP (21.3%) [32]. However, studies on CAD patients in Vietnam and Ethiopia showed that the prevalence of contraindicated medicines leading to DRPs was only approximately 0% and 2%, respectively [17, 21]. Therefore, in the latter two countries, among CAD patients, this issue is less common than in other DRPs.
Increasing the role of clinical pharmacists and the application of prescription management software in the prescribing process to check contraindication and interaction could be effective interventions to minimize such problems. For patients to be treated with appropriate drugs, clinicians should follow treatment guidelines and update their recommendations. In addition, the patient’s response to treatment should be monitored by clinical examination and tests, and if necessary, a change of drug to suit the patient’s condition.
Inappropriate dose selection includes both too high and too low [23]. A study in Spain by P. Gastelurrutia et al. found that inappropriate dose selection was one of the most frequently identified DRPs, with a prevalence of 22% [33], and a study in Turkey by Urbina, Olatz et al. found inappropriate dose selection in CAD patients to have a prevalence of 41% [18]. In a Vietnamese study by T.T.A. Truong et al., this prevalence was 22.2% [21]. Inappropriate dose selection can take place for several reasons. For example, ignoring comorbidities that affect the pharmacodynamics of a drug, such as hepatic or renal failure, can lead to inappropriate dose selection. Patients with renal and hepatic dysfunction require lower doses; otherwise, failure of excretion or breakdown of the drug can cause toxicity [34]. Furthermore, differing characteristics of patients, such as weight and body mass index, can make a prescribed dose too low or high for the patient’s needs.
Sometimes high dosage prescription was considered when the duration of drug therapy was regarded as too long, possibly leading to unwanted side-effects for the patient [23]. In Spain and Vietnam, patients with CAD had a prevalence of high dose prescriptions of 8.6% and 0.1%, respectively [18, 21]. A study by Simon B. Dimmitt et al. had found that statin doses around an estimated effective dose of 50 (ED50) could reduce myocardial infarction (25%) and mortality (10%). However, the high dosage can also increase adverse events: myopathy was shown to increase 29-fold, and liver dysfunction as much as 9-fold [35]. A national study in America reported that overdoses led to nearly two-thirds of emergency hospitalizations [15]. Because the therapeutic window of CVD drugs in general, and CAD drugs in particular, is very small, an overdose is very severe and can lead to death. For example, an indirect sympathomimetic overdose can result in tachycardia, hypertension, stroke, and acute myocardial infarction [36]. Furthermore, in patients with renal dysfunction or renal failure, drugs that are eliminated by the kidney should be dosed proportionally according to creatinine clearance [37].
In contrast, a too low dosage means that the dose is not sufficient to produce the desired response [23]. In Spain and Vietnam, DRPs of patients with CAD occurring due to low dosage prescriptions were 7.9% and 22.1%, respectively [18, 21]. Taking too low a dose fails to achieve the desired therapeutic goal, increasing the possibility of cardiovascular events [23]. A systematic overview of randomized trial studies in patients with risk of cardiovascular disease found that a dose of aspirin between 75 and 150 mg daily gives adequate prophylaxis; doses lower than 75 mg daily are less effective [38]. A study was conducted in patients with acute coronary syndrome after stent implantation to compare the efficacy of different doses of rosuvastatin [39]. This study concluded that high doses of rosuvastatin could postpone ventricular remodeling, decrease the prevalence of adverse events, and significantly improve long-term prognosis.
To limit problems related to dose selection, doctors need to pay attention to each patient’s condition, comorbidities, and characteristics affecting drug pharmacokinetics and monitor and adjust drug dose depending on the tolerance of the individual patient. In addition, the clinical pharmacist can help to calculate the appropriate drug dose for each patient. Furthermore, the application software should be developed to assist in dose calculation for special populations like elderly patients or liver and/or kidney disease patients.
Adverse drug-drug interactions (DDIs) occur when drug interaction leads to undesirable reactions that are not dose-related [23]. In patients with heart failure in Ethiopia, DDIs were the most common cause of DRPs, with a prevalence of 27.3% in 2020 and 33.4% in 2021 [24, 40]. However, a study in Taiwan found DDIs to be the second most common DRP (29.6%) [41]. In patients with CAD in Ethiopia and Vietnam, DDIs had prevalences of 21.2% and 19.3%, respectively [21, 40]. Often, patients with CAD have to take multiple medications for a long time [5], and other drugs must frequently be used to treat co-morbidities. However, the greater the number of drugs, the greater the risk of drug-drug interactions [5].
The most common DDI found in patients with heart failure was the combined use of spironolactone and digoxin, possibly resulting in increased digoxin toxicity [40]. A systematic review of secondary prevention of adverse ischemic events found that a regimen including aspirin plus clopidogrel led to a significantly higher rate of hemorrhagic events than other regimens (aspirin alone, plus ticlopidine or cilostazol, etc.) [6]. Another common drug-drug interaction between clopidogrel and proton pump inhibitors (PPIs) in patients with CAD. Clopidogrel is a P2Y12 receptor inhibitor and one of the two components of dual antiplatelet therapy [42]. PPIs are recommended for patients on dual antiplatelet therapy with a history or high risk of gastrointestinal bleeding [43]. Adverse drug interactions reduce the effectiveness of treatment. For example, some PPIs, such as omeprazole and esomeprazole, reduce the antiplatelet effect of clopidogrel by inhibiting the CYP2C19-mediated conversion of clopidogrel to the active metabolite in the liver [44]. In addition, concomitant clopidogrel-PPI therapy appears to increase the risk of major adverse cardiovascular events [45]. Meanwhile, PPIs such as lansoprazole and dexlansoprazole have been found to have less effect, and pantoprazole and rabeprazole do not affect the metabolism of clopidogrel [46, 47]. Therefore, one of the four PPIs: pantoprazole, rabeprazole, lansoprazole, or dexlansoprazole, should be chosen, and omeprazole and esomeprazole should be avoided in patients requiring a combination of clopidogrel and PPI.
To limit adverse drug-drug interactions, clinicians can use drug interaction testing tools with the assistance of a clinical pharmacist. If a severe drug-drug interaction occurs, an alternative drug should be considered. Furthermore, an online drug interaction checker (Drug.com, Medscape, etc.) should be used for checking before prescribing to patients.
Poor patient adherence is another common DRP in coronary artery disease. Nonadherence involves the failure of a patient to take medications appropriately due to personal factors [23]. Several studies have indicated that roughly 20% and more than 50% of CAD patients are non-adherent to prescribed medications [48, 49, 50]. Many factors can affect patient adherence to treatment: lack of motivation, failure to understand instructions, forgetfulness, the complexity of the regimen, polypharmacy, multiple daily doses, adverse side effects, high cost, failure to initiate treatment before discharge, and the physician’s lack of knowledge of clinical indicators for the use of medications [51, 52]. In addition, older people have many unique difficulties that contribute to poor adherence [52], one of the main factors being forgetfulness [53]. Some studies indicate that long-term therapy involving CAD prophylaxis may decrease adherence. A Swedish study reported that the adherence rate in CAD patients after discharge rapidly decreased within 2 years. Statin, aspirin, and clopidogrel adherence rates decreased from 91.7% to 56.1%, 93.2% to 61.5%, and 81.9% to 39.4% respectively, 2 years after discharge [54].
Patient adherence greatly contributes to the success of treatment and secondary prevention strategies in CAD patients. Good adherence to evidence-based medication regimens, including β-blockers, angiotensin-converting enzyme inhibitors/angiotensin receptor blockers, antiplatelet drugs, and statins, has been shown to be associated with decreased risk of all-cause mortality (risk ratio 0.56; 95% confidence interval: 0.45–0.69), cardiovascular mortality (risk ratio 0.66; 95% confidence interval: 0.51–0.87), and cardiovascular hospitalization/myocardial infarction (risk ratio 0.61; 95% confidence interval: 0.45–0.82) [55]. In contrast, poor adherence can lead to major cardiovascular events, including death [56]. In Turkey, during one-year follow-up treatment, patients with acute coronary syndrome were found to have low adherence to statin therapy (17.8%) [57]. According to a study by C.A. Jackevicius et al. in the Canadian population, patients who did not use all of their discharge medications after acute coronary syndrome had an increased risk of death at 1 year [56]. The death rates among high-adherence and low-adherence were respectively 2310/14,345 (16%), and 261/1071 (24%) (adjusted hazard ratio, 1.25; 95% confidence interval, 1.09–1.42;
Drug counseling upon discharge and post-discharge follow-up may increase adherence [56]. When patients know their medical condition and the benefits of prescription medications, they are more motivated to take them exactly as recommended [59]. Moreover, appropriate prescribing upon discharge should be encouraged to improve patient adherence [52]. Prescribing fixed-dose combination pills instead of using multiple single drugs also helps to enhance adherence [60, 61]. A systematic review in low- and middle-income countries demonstrated considerable variation in nonadherence to antihypertensive medication [62]. Due to the overload of healthcare systems, especially in these low- and middle-income countries and during the COVID-19 pandemic, clinicians have too little time to educate patients [63]. A systematic review of 67 countries found that about half of the world’s population spends 5 min or less with their primary care physicians [64]. Therefore, more attention should be paid to the role of the clinical pharmacist. Clinical pharmacists can help patients understand the benefits of each medication they take, the timing and frequency of administration, and signs of side effects; they can also encourage and monitor patient adherence. A systematic review of medication adherence interventions showed significant reductions in mortality risk among heart failure patients (relative risk, 0.89; 95% CI, 0.81, 0.99). A bulk of these interventions utilized medication education (s = 50) and disease education (s = 48) [65].
Medical costs for CAD have increased dramatically in recent years and are expected to rise even more [66]. The result is an increased economic burden for patients themselves and countries. For example, hospital admission for acute myocardial infarction requiring percutaneous coronary intervention costs an average of $20,000 [67]. In the USA, it has been calculated that in 2016 DRPs wasted $528.4 billion, equivalent to 16% of the total US healthcare expenditure for that year [16]. Furthermore, the cost of informal healthcare for CAD alone was estimated at $1 billion and projected to increase to $1.9 billion by 2035 [68]. According to M. Guerro-Prado et al., cost issues accounted for up to 6.5% of all DRPs. Unnecessary and unnecessarily expensive treatments were the main reasons for such problems [69]. Furthermore, cost issues are also related to physicians’ prescriptions. A Chinese national study among 3362 primary healthcare sites showed that expensive medications were more likely to be prescribed than less costly alternatives, thus contributing to high medication costs [70]. Increased medication costs may likely reduce patient adherence and negatively affect their healthcare [51, 71]. Patients’ discontinuation of medication therapies affects their treatment outcomes and increases the occurrence of adverse cardiovascular events [56]. To treat these events, the costs of treatment become even greater.
WHO has listed some interventions that may reduce costs. Such interventions include providing information; government communication is vital to raise public awareness of the importance of reducing cardiovascular risk factors. Further efforts to reduce medical costs include early disease detection, optimal treatment according to recommendations, and close patient management to limit complications, hospitalization, and death. Also recommended for patients with coronary artery disease are lifestyle changes that enhance the effectiveness of treatment, thereby reducing the number of drugs needed [72]. To further avoid adding to treatment costs, clinicians should avoid prescribing unnecessary extra drugs [70]. Finally, it is necessary to encourage individuals to participate in health insurance to reduce the financial burden of illness [72].
DRPs are a global problem, causing adverse consequences in cardiology in particular and medicine in general. Drug selection, dose selection, adverse drug-drug interactions, and patient adherence are the most common categories involved in DRPs. Inability to control DRPs can diminish healthcare outcomes and increase the prevalence of adverse cardiovascular events, and DRPs can also inhibit economic growth due to medication costs. To minimize the negative impacts of DRPs we propose several key solutions: (1) appropriate prescribing according to guidelines, (2) enhancing the role of clinical pharmacists in the identification and intervention of DRPs, and (3) developing tools to check for drug interactions and contraindications. More effective definition and recognition of DRPs and application of relevant interventions can help to limit these global problems.
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\n\nBook Chapters published in edited volumes are distributed under the Creative Commons Attribution 3.0 Unported License (CC BY 3.0). IntechOpen maintains a very flexible Copyright Policy that ensures that there is no copyright transfer to the publisher. Therefore, Authors retain exclusive copyright to their work. All Monographs are distributed under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) and journal articles are distributed under a Creative Commons 4.0 International Licence.
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\n\nAll scientific Works are subject to Peer Review prior to publishing.
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\n\nThe Open Access publishing model followed by IntechOpen eliminates subscription charges and pay-per-view fees, thus enabling readers to access research at no cost to themselves. In order to sustain these operations, and keep our publications freely accessible, we levy an Open Access Publishing Fee on all manuscripts accepted for publication to help cover the costs of editorial work and the production of books.
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One of the most suitable examples of nanoparticles used for this purpose are quantum dots, a type of colloidal fluorescent semiconducting nanocrystalline material that has the possibility, due to its unique optical and electronic properties, to be used in numerous technological applications such as biosensing, in vivo imaging techniques, photovoltaics, nanomedicine, molecular pathology, and drug delivery. Thus, there are almost endless possibilities for quantum dots materials. In spite of the fast advance in the search of quantum dots with better nanomaterial performance, environmentally benign and sustainable production is still lacking. Although the use of these materials is developing promptly, there is increasing concern that these materials might pose potential risks to human health. Herein, we discuss principal properties of quantum dots, including their functional architecture and toxicity, and review the main studies about “green” quantum dots synthesis to be aligned with green nanotechnology approach for nontoxic, cleaner, safer, and more responsible processes. The organometallic colloidal synthesis and the aqueous colloidal synthesis, as well as their drawbacks and benefits, are conferred. Recent advances in technological and biological quantum dots–based applications are also discussed in this chapter.",book:{id:"5170",slug:"green-nanotechnology-overview-and-further-prospects",title:"Green Nanotechnology",fullTitle:"Green Nanotechnology - Overview and Further Prospects"},signatures:"Carlos A. Martínez Bonilla and Vladimir V. Kouznetsov",authors:[{id:"105180",title:"Prof.",name:"Vladimir V.",middleName:"V.",surname:"Kouznetsov",slug:"vladimir-v.-kouznetsov",fullName:"Vladimir V. 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In this sense, new materials such as nanocomposites may overcome these issues taking advantage of the peculiar properties of materials at nanoscale. Research on novel nanotechnologies must bring advances in order to contrast and prevent water scarcity and pollution. In order to be effective, these nanotechnologies should run at low operational cost, even in places unequipped by strong infrastructures and in concert with conventional cheap methodologies.",book:{id:"5170",slug:"green-nanotechnology-overview-and-further-prospects",title:"Green Nanotechnology",fullTitle:"Green Nanotechnology - Overview and Further Prospects"},signatures:"Giuseppe Cacciato, Massimo Zimbone, Francesco Ruffino and Maria\nGrazia Grimaldi",authors:[{id:"178880",title:"Ph.D.",name:"Francesco",middleName:null,surname:"Ruffino",slug:"francesco-ruffino",fullName:"Francesco Ruffino"},{id:"180334",title:"Dr.",name:"Giuseppe",middleName:null,surname:"Cacciato",slug:"giuseppe-cacciato",fullName:"Giuseppe Cacciato"},{id:"180335",title:"Dr.",name:"Massimo",middleName:null,surname:"Zimbone",slug:"massimo-zimbone",fullName:"Massimo Zimbone"},{id:"180336",title:"Prof.",name:"Maria Grazia",middleName:null,surname:"Grimaldi",slug:"maria-grazia-grimaldi",fullName:"Maria Grazia Grimaldi"}]},{id:"50705",doi:"10.5772/63314",title:"Metal Nanoparticles as Emerging Green Catalysts",slug:"metal-nanoparticles-as-emerging-green-catalysts",totalDownloads:3246,totalCrossrefCites:2,totalDimensionsCites:8,abstract:"Green nanotechnology is defined as the technology applied for building clean technology by which one can reduce the potential risks of environment and also improve human health conditions. It is linked with the implementation of products of nanotechnology and its process of manufacturing. Green nanotechnology synthesizes new nanoproducts with improved properties in such a way that they can substitute some of the existing low‐quality products. The main motive of developing new nanoproducts is to enhance sustainability and also to make them more environment friendly. In particular, nanoscale materials (e.g., nanoparticles) can be defined as those having characteristic length scale lying within the nanometric range, that is, in the range between one and several hundreds of nanometers. Within this length scale, the properties of matter are sufficiently different from individual atoms/molecules or from bulk materials. The primary objective of this chapter is to provide comprehensive overview about metal nanoparticles (MNPs) and its application as emerging green catalysts. This chapter contains six sections in total. Section 1 starts with a general introduction, recent progress, and brief summary of the application of MNPs as green catalyst. Section 2 reviews the preparation and characterization of supported metal nanoparticles for a wide range of catalytic applications. Section 3 presents the catalytic properties of supported metal nanoparticles. Section 4 describes briefly some of the most commonly reported supported MNPs in different green catalytic applications. Section 5 concentrates on our own results that related to the application of supported MNPs in catalysis. In this section, the oxidation of benzyl alcohol to benzaldehyde, the production of adipic acid from cyclohexane, the photodegradation of dyes using green route will be discussed. 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This chapter focuses on the many ways that allow to tailor and organize TiO2 crystallites at the nanometre scale to make the most of this amazing material in the field of photovoltaics and gas sensing.",book:{id:"5170",slug:"green-nanotechnology-overview-and-further-prospects",title:"Green Nanotechnology",fullTitle:"Green Nanotechnology - Overview and Further Prospects"},signatures:"André Decroly, Arnaud Krumpmann, Marc Debliquy and Driss\nLahem",authors:[{id:"108357",title:"Dr.",name:"Marc",middleName:null,surname:"Debliquy",slug:"marc-debliquy",fullName:"Marc Debliquy"},{id:"156323",title:"Dr.",name:"Driss",middleName:null,surname:"Lahem",slug:"driss-lahem",fullName:"Driss Lahem"},{id:"179585",title:"Associate Prof.",name:"André",middleName:null,surname:"Decroly",slug:"andre-decroly",fullName:"André Decroly"},{id:"179653",title:"MSc.",name:"Arnaud",middleName:null,surname:"Krumpmann",slug:"arnaud-krumpmann",fullName:"Arnaud Krumpmann"}]},{id:"50087",doi:"10.5772/62240",title:"Friccohesity and Tentropy: New Models of Molecular Sciences",slug:"friccohesity-and-tentropy-new-models-of-molecular-sciences",totalDownloads:1697,totalCrossrefCites:1,totalDimensionsCites:3,abstract:"Understanding and developing new molecules in chemical sciences have been great thrust areas of research, not only to develop new synthetic methods or reaction mechanisms of new and greener experimental conditions but also to know what are the new molecule science and what are the new models which can track their new role in chemical processes and also their applications in allied interdisciplinary sciences. The SAR (structure-activity relationship) and STAR (structure-thermodynamics activity relationship) have been the most intimate theories in understanding and finding unique applications of the new molecules. Initially, simple molecules are the focus; however, proteins, hemoglobin, starch, and certain metallic complexes are also in the focus but as natural chemicals; but for past few decades, a lot of focus has been on synthesizing new complex molecules to make them suitable for varieties of applications such as solar, catalysts, biosensors, and others. Hence, it has been essential for focusing on structural sciences of the chemical substances. Dendrimers have been the invention of 1990s in the areas of biocomplexes, biomaterials which are hot thrust areas in molecular interaction engineering to focus on intramolecular potential for industrial applications. Thus, the molecule’s internal structure signifies the various scientific components for playing or making their best use in materials sciences, semiconductor, spintronics, photonics, electronics, etc. Therefore, the molecule’s interacting response with other molecules becomes cohesive or kinetic in nature or whether it induces structuredness or weakens the binding forces and allows more and more kinetic movement or the motion is noted or defined by friccohesity as it is expressed as frictional and cohesive forces. Thus, the friccohesity is a dual forces theory which deals with frictional and cohesive forces together and determined with Survismeter using Mansingh equation molecules [1–3].",book:{id:"5170",slug:"green-nanotechnology-overview-and-further-prospects",title:"Green Nanotechnology",fullTitle:"Green Nanotechnology - Overview and Further Prospects"},signatures:"Man Singh",authors:[{id:"24553",title:"Prof.",name:"Man",middleName:null,surname:"Singh",slug:"man-singh",fullName:"Man Singh"}]}],mostDownloadedChaptersLast30Days:[{id:"50106",title:"“Green” Quantum Dots: Basics, Green Synthesis, and Nanotechnological Applications",slug:"-green-quantum-dots-basics-green-synthesis-and-nanotechnological-applications",totalDownloads:3775,totalCrossrefCites:9,totalDimensionsCites:19,abstract:"Nanotechnological development of new materials involves the discovery or design of materials at small length scales with controlled physical and chemical properties than can be tuned or modified in function of their applications. One of the most suitable examples of nanoparticles used for this purpose are quantum dots, a type of colloidal fluorescent semiconducting nanocrystalline material that has the possibility, due to its unique optical and electronic properties, to be used in numerous technological applications such as biosensing, in vivo imaging techniques, photovoltaics, nanomedicine, molecular pathology, and drug delivery. Thus, there are almost endless possibilities for quantum dots materials. In spite of the fast advance in the search of quantum dots with better nanomaterial performance, environmentally benign and sustainable production is still lacking. Although the use of these materials is developing promptly, there is increasing concern that these materials might pose potential risks to human health. Herein, we discuss principal properties of quantum dots, including their functional architecture and toxicity, and review the main studies about “green” quantum dots synthesis to be aligned with green nanotechnology approach for nontoxic, cleaner, safer, and more responsible processes. The organometallic colloidal synthesis and the aqueous colloidal synthesis, as well as their drawbacks and benefits, are conferred. Recent advances in technological and biological quantum dots–based applications are also discussed in this chapter.",book:{id:"5170",slug:"green-nanotechnology-overview-and-further-prospects",title:"Green Nanotechnology",fullTitle:"Green Nanotechnology - Overview and Further Prospects"},signatures:"Carlos A. Martínez Bonilla and Vladimir V. Kouznetsov",authors:[{id:"105180",title:"Prof.",name:"Vladimir V.",middleName:"V.",surname:"Kouznetsov",slug:"vladimir-v.-kouznetsov",fullName:"Vladimir V. Kouznetsov"},{id:"179817",title:"M.Sc.",name:"Carlos A.",middleName:"Andrés",surname:"Martínez Bonilla",slug:"carlos-a.-martinez-bonilla",fullName:"Carlos A. Martínez Bonilla"}]},{id:"50705",title:"Metal Nanoparticles as Emerging Green Catalysts",slug:"metal-nanoparticles-as-emerging-green-catalysts",totalDownloads:3247,totalCrossrefCites:2,totalDimensionsCites:8,abstract:"Green nanotechnology is defined as the technology applied for building clean technology by which one can reduce the potential risks of environment and also improve human health conditions. It is linked with the implementation of products of nanotechnology and its process of manufacturing. Green nanotechnology synthesizes new nanoproducts with improved properties in such a way that they can substitute some of the existing low‐quality products. The main motive of developing new nanoproducts is to enhance sustainability and also to make them more environment friendly. In particular, nanoscale materials (e.g., nanoparticles) can be defined as those having characteristic length scale lying within the nanometric range, that is, in the range between one and several hundreds of nanometers. Within this length scale, the properties of matter are sufficiently different from individual atoms/molecules or from bulk materials. The primary objective of this chapter is to provide comprehensive overview about metal nanoparticles (MNPs) and its application as emerging green catalysts. This chapter contains six sections in total. Section 1 starts with a general introduction, recent progress, and brief summary of the application of MNPs as green catalyst. Section 2 reviews the preparation and characterization of supported metal nanoparticles for a wide range of catalytic applications. Section 3 presents the catalytic properties of supported metal nanoparticles. Section 4 describes briefly some of the most commonly reported supported MNPs in different green catalytic applications. Section 5 concentrates on our own results that related to the application of supported MNPs in catalysis. In this section, the oxidation of benzyl alcohol to benzaldehyde, the production of adipic acid from cyclohexane, the photodegradation of dyes using green route will be discussed. Finally, Section 6 describes the summary of main points and also presents an outlook of the application of MNPs in green chemistry.",book:{id:"5170",slug:"green-nanotechnology-overview-and-further-prospects",title:"Green Nanotechnology",fullTitle:"Green Nanotechnology - Overview and Further Prospects"},signatures:"Ahmad Alshammari, V. Narayana Kalevaru and Andreas Martin",authors:[{id:"178547",title:"Dr.",name:"Ahmad",middleName:null,surname:"Alshammari",slug:"ahmad-alshammari",fullName:"Ahmad Alshammari"},{id:"180753",title:"Dr.",name:"V. Narayana",middleName:null,surname:"Kalevaru",slug:"v.-narayana-kalevaru",fullName:"V. Narayana Kalevaru"},{id:"180804",title:"Dr.",name:"Andreas",middleName:null,surname:"Martin",slug:"andreas-martin",fullName:"Andreas Martin"}]},{id:"49331",title:"Metal Complexes Immobilized on Magnetic Nanoparticles",slug:"metal-complexes-immobilized-on-magnetic-nanoparticles",totalDownloads:2096,totalCrossrefCites:1,totalDimensionsCites:2,abstract:"The reusability of valuable catalysts in organic reaction without change in properties is known as an important feature in the evolution of green processes. The imobilization of metal catalysts on magnetic nanoparticles makes them recoverable and can be used as building blocks for the fabrication of various functional systems, which are applied in several fields such as catalysis, environmental remediation magnetic resonance imaging, data storage, and biotechnology. Applying magnetic nanoparticles in organic reaction as a scaffold for the immobilization of metal complexes is reviewed as well as the improvement of the methods of production and applying catalysts with magnetic properties in organic reaction.",book:{id:"5170",slug:"green-nanotechnology-overview-and-further-prospects",title:"Green Nanotechnology",fullTitle:"Green Nanotechnology - Overview and Further Prospects"},signatures:"Seyed Mohsen Sadeghzadeh and Mehdi Mogharabi",authors:[{id:"175879",title:"Dr.",name:"Seyed Mohsen",middleName:null,surname:"Sadeghzadeh",slug:"seyed-mohsen-sadeghzadeh",fullName:"Seyed Mohsen Sadeghzadeh"},{id:"191799",title:"Dr.",name:"Mehdi",middleName:null,surname:"Mogharabi",slug:"mehdi-mogharabi",fullName:"Mehdi Mogharabi"}]},{id:"50132",title:"Recent Highlights in Green Oxidative Chemical Processes Applied to Steroid Chemistry",slug:"recent-highlights-in-green-oxidative-chemical-processes-applied-to-steroid-chemistry",totalDownloads:2379,totalCrossrefCites:0,totalDimensionsCites:0,abstract:"Steroids and their oxidation products are widely distributed in living organisms and are important intermediates for the synthesis of many biologically active molecules. Due to their pharmacological and synthetic relevance, several oxidative chemical processes for the functionalization of the steroid nucleus have been developed. Green chemistry principles have been incorporated in some oxidative transformations of steroids, allowing significant advances in synthetic chemistry applied to these compounds. This chapter presents a selection of relevant applications of pharmaceutical green chemistry to steroid’s oxidative processes. Special emphasis is given to catalytic processes encompassing heterogeneous nanocatalysts, whose application in this context is increasing over the past years. This chapter is organized according to the reaction type that includes alcohol oxidation, epoxidation of alkenes, and allylic oxidation of alkenes to enones, among other relevant oxidative transformations. Biocatalytic oxidative methods applied to steroid synthesis are not included in this review.",book:{id:"5170",slug:"green-nanotechnology-overview-and-further-prospects",title:"Green Nanotechnology",fullTitle:"Green Nanotechnology - Overview and Further Prospects"},signatures:"Samuel M. Silvestre, M. Manuel C. Silva and Jorge A. R. Salvador",authors:[{id:"69976",title:"Prof.",name:"Jorge António Ribeiro",middleName:null,surname:"Salvador",slug:"jorge-antonio-ribeiro-salvador",fullName:"Jorge António Ribeiro Salvador"},{id:"157541",title:"Prof.",name:"Samuel",middleName:null,surname:"Silvestre",slug:"samuel-silvestre",fullName:"Samuel Silvestre"},{id:"185027",title:"Prof.",name:"Maria Manuel Cruz",middleName:null,surname:"Silva",slug:"maria-manuel-cruz-silva",fullName:"Maria Manuel Cruz Silva"}]},{id:"50074",title:"Nanostructured TiO2 Layers for Photovoltaic and Gas Sensing Applications",slug:"nanostructured-tio2-layers-for-photovoltaic-and-gas-sensing-applications",totalDownloads:2105,totalCrossrefCites:3,totalDimensionsCites:6,abstract:"Titanium dioxide (TiO2) has been an important material for decades, combining numerous attractive properties in terms of economy (low price, large availability) or ecology (non-toxic), as well as broad physical and chemical possibilities. In the last few years, the development of nanotechnologies offered new opportunities, not only in an academic perspective but also with a view to many applications with particular reference to the environment. This chapter focuses on the many ways that allow to tailor and organize TiO2 crystallites at the nanometre scale to make the most of this amazing material in the field of photovoltaics and gas sensing.",book:{id:"5170",slug:"green-nanotechnology-overview-and-further-prospects",title:"Green Nanotechnology",fullTitle:"Green Nanotechnology - Overview and Further Prospects"},signatures:"André Decroly, Arnaud Krumpmann, Marc Debliquy and Driss\nLahem",authors:[{id:"108357",title:"Dr.",name:"Marc",middleName:null,surname:"Debliquy",slug:"marc-debliquy",fullName:"Marc Debliquy"},{id:"156323",title:"Dr.",name:"Driss",middleName:null,surname:"Lahem",slug:"driss-lahem",fullName:"Driss Lahem"},{id:"179585",title:"Associate Prof.",name:"André",middleName:null,surname:"Decroly",slug:"andre-decroly",fullName:"André Decroly"},{id:"179653",title:"MSc.",name:"Arnaud",middleName:null,surname:"Krumpmann",slug:"arnaud-krumpmann",fullName:"Arnaud Krumpmann"}]}],onlineFirstChaptersFilter:{topicId:"851",limit:6,offset:0},onlineFirstChaptersCollection:[],onlineFirstChaptersTotal:0},preDownload:{success:null,errors:{}},subscriptionForm:{success:null,errors:{}},aboutIntechopen:{},privacyPolicy:{},peerReviewing:{},howOpenAccessPublishingWithIntechopenWorks:{},sponsorshipBooks:{sponsorshipBooks:[],offset:0,limit:8,total:null},allSeries:{pteSeriesList:[],lsSeriesList:[],hsSeriesList:[],sshSeriesList:[],testimonialsList:[]},series:{item:{id:"11",title:"Biochemistry",doi:"10.5772/intechopen.72877",issn:"2632-0983",scope:"Biochemistry, the study of chemical transformations occurring within living organisms, impacts all areas of life sciences, from molecular crystallography and genetics to ecology, medicine, and population biology. Biochemistry examines macromolecules - proteins, nucleic acids, carbohydrates, and lipids – and their building blocks, structures, functions, and interactions. Much of biochemistry is devoted to enzymes, proteins that catalyze chemical reactions, enzyme structures, mechanisms of action and their roles within cells. Biochemistry also studies small signaling molecules, coenzymes, inhibitors, vitamins, and hormones, which play roles in life processes. Biochemical experimentation, besides coopting classical chemistry methods, e.g., chromatography, adopted new techniques, e.g., X-ray diffraction, electron microscopy, NMR, radioisotopes, and developed sophisticated microbial genetic tools, e.g., auxotroph mutants and their revertants, fermentation, etc. More recently, biochemistry embraced the ‘big data’ omics systems. Initial biochemical studies have been exclusively analytic: dissecting, purifying, and examining individual components of a biological system; in the apt words of Efraim Racker (1913 –1991), “Don’t waste clean thinking on dirty enzymes.” Today, however, biochemistry is becoming more agglomerative and comprehensive, setting out to integrate and describe entirely particular biological systems. The ‘big data’ metabolomics can define the complement of small molecules, e.g., in a soil or biofilm sample; proteomics can distinguish all the comprising proteins, e.g., serum; metagenomics can identify all the genes in a complex environment, e.g., the bovine rumen. This Biochemistry Series will address the current research on biomolecules and the emerging trends with great promise.",coverUrl:"https://cdn.intechopen.com/series/covers/11.jpg",latestPublicationDate:"May 18th, 2022",hasOnlineFirst:!0,numberOfPublishedBooks:27,editor:{id:"31610",title:"Dr.",name:"Miroslav",middleName:null,surname:"Blumenberg",slug:"miroslav-blumenberg",fullName:"Miroslav Blumenberg",profilePictureURL:"https://mts.intechopen.com/storage/users/31610/images/system/31610.jpg",biography:"Miroslav Blumenberg, Ph.D., was born in Subotica and received his BSc in Belgrade, Yugoslavia. He completed his Ph.D. at MIT in Organic Chemistry; he followed up his Ph.D. with two postdoctoral study periods at Stanford University. Since 1983, he has been a faculty member of the RO Perelman Department of Dermatology, NYU School of Medicine, where he is codirector of a training grant in cutaneous biology. Dr. Blumenberg’s research is focused on the epidermis, expression of keratin genes, transcription profiling, keratinocyte differentiation, inflammatory diseases and cancers, and most recently the effects of the microbiome on the skin. He has published more than 100 peer-reviewed research articles and graduated numerous Ph.D. and postdoctoral students.",institutionString:null,institution:{name:"New York University Langone Medical Center",institutionURL:null,country:{name:"United States of America"}}},editorTwo:null,editorThree:null},subseries:{paginationCount:4,paginationItems:[{id:"14",title:"Cell and Molecular Biology",coverUrl:"https://cdn.intechopen.com/series_topics/covers/14.jpg",isOpenForSubmission:!0,editor:{id:"165627",title:"Dr.",name:"Rosa María",middleName:null,surname:"Martínez-Espinosa",slug:"rosa-maria-martinez-espinosa",fullName:"Rosa María Martínez-Espinosa",profilePictureURL:"https://mts.intechopen.com/storage/users/165627/images/system/165627.jpeg",biography:"Dr. Rosa María Martínez-Espinosa has been a Spanish Full Professor since 2020 (Biochemistry and Molecular Biology) and is currently Vice-President of International Relations and Cooperation development and leader of the research group 'Applied Biochemistry” (University of Alicante, Spain). Other positions she has held at the university include Vice-Dean of Master Programs, Vice-Dean of the Degree in Biology and Vice-Dean for Mobility and Enterprise and Engagement at the Faculty of Science (University of Alicante). She received her Bachelor in Biology in 1998 (University of Alicante) and her PhD in 2003 (Biochemistry, University of Alicante). She undertook post-doctoral research at the University of East Anglia (Norwich, U.K. 2004-2005; 2007-2008).\nHer multidisciplinary research focuses on investigating archaea and their potential applications in biotechnology. She has an H-index of 21. She has authored one patent and has published more than 70 indexed papers and around 60 book chapters.\nShe has contributed to more than 150 national and international meetings during the last 15 years. Her research interests include archaea metabolism, enzymes purification and characterization, gene regulation, carotenoids and bioplastics production, antioxidant\ncompounds, waste water treatments, and brines bioremediation.\nRosa María’s other roles include editorial board member for several journals related\nto biochemistry, reviewer for more than 60 journals (biochemistry, molecular biology, biotechnology, chemistry and microbiology) and president of several organizing committees in international meetings related to the N-cycle or respiratory processes.",institutionString:null,institution:{name:"University of Alicante",institutionURL:null,country:{name:"Spain"}}},editorTwo:null,editorThree:null},{id:"15",title:"Chemical Biology",coverUrl:"https://cdn.intechopen.com/series_topics/covers/15.jpg",isOpenForSubmission:!0,editor:{id:"441442",title:"Dr.",name:"Şükrü",middleName:null,surname:"Beydemir",slug:"sukru-beydemir",fullName:"Şükrü Beydemir",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y00003GsUoIQAV/Profile_Picture_1634557147521",biography:"Dr. Şükrü Beydemir obtained a BSc in Chemistry in 1995 from Yüzüncü Yıl University, MSc in Biochemistry in 1998, and PhD in Biochemistry in 2002 from Atatürk University, Turkey. He performed post-doctoral studies at Max-Planck Institute, Germany, and University of Florence, Italy in addition to making several scientific visits abroad. He currently works as a Full Professor of Biochemistry in the Faculty of Pharmacy, Anadolu University, Turkey. Dr. Beydemir has published over a hundred scientific papers spanning protein biochemistry, enzymology and medicinal chemistry, reviews, book chapters and presented several conferences to scientists worldwide. He has received numerous publication awards from various international scientific councils. He serves in the Editorial Board of several international journals. Dr. Beydemir is also Rector of Bilecik Şeyh Edebali University, Turkey.",institutionString:null,institution:{name:"Anadolu University",institutionURL:null,country:{name:"Turkey"}}},editorTwo:{id:"13652",title:"Prof.",name:"Deniz",middleName:null,surname:"Ekinci",slug:"deniz-ekinci",fullName:"Deniz Ekinci",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002aYLT1QAO/Profile_Picture_1634557223079",biography:"Dr. Deniz Ekinci obtained a BSc in Chemistry in 2004, MSc in Biochemistry in 2006, and PhD in Biochemistry in 2009 from Atatürk University, Turkey. He studied at Stetson University, USA, in 2007-2008 and at the Max Planck Institute of Molecular Cell Biology and Genetics, Germany, in 2009-2010. Dr. Ekinci currently works as a Full Professor of Biochemistry in the Faculty of Agriculture and is the Head of the Enzyme and Microbial Biotechnology Division, Ondokuz Mayıs University, Turkey. He is a member of the Turkish Biochemical Society, American Chemical Society, and German Genetics society. Dr. Ekinci published around ninety scientific papers, reviews and book chapters, and presented several conferences to scientists. He has received numerous publication awards from several scientific councils. Dr. Ekinci serves as the Editor in Chief of four international books and is involved in the Editorial Board of several international journals.",institutionString:null,institution:{name:"Ondokuz Mayıs University",institutionURL:null,country:{name:"Turkey"}}},editorThree:null},{id:"17",title:"Metabolism",coverUrl:"https://cdn.intechopen.com/series_topics/covers/17.jpg",isOpenForSubmission:!0,editor:{id:"138626",title:"Dr.",name:"Yannis",middleName:null,surname:"Karamanos",slug:"yannis-karamanos",fullName:"Yannis Karamanos",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002g6Jv2QAE/Profile_Picture_1629356660984",biography:"Yannis Karamanos, born in Greece in 1953, completed his pre-graduate studies at the Université Pierre et Marie Curie, Paris, then his Masters and Doctoral degree at the Université de Lille (1983). He was associate professor at the University of Limoges (1987) before becoming full professor of biochemistry at the Université d’Artois (1996). He worked on the structure-function relationships of glycoconjugates and his main project was the investigations on the biological roles of the de-N-glycosylation enzymes (Endo-N-acetyl-β-D-glucosaminidase and peptide-N4-(N-acetyl-β-glucosaminyl) asparagine amidase). From 2002 he contributes to the understanding of the Blood-brain barrier functioning using proteomics approaches. He has published more than 70 papers. His teaching areas are energy metabolism and regulation, integration and organ specialization and metabolic adaptation.",institutionString:null,institution:{name:"Artois University",institutionURL:null,country:{name:"France"}}},editorTwo:null,editorThree:null},{id:"18",title:"Proteomics",coverUrl:"https://cdn.intechopen.com/series_topics/covers/18.jpg",isOpenForSubmission:!0,editor:{id:"200689",title:"Prof.",name:"Paolo",middleName:null,surname:"Iadarola",slug:"paolo-iadarola",fullName:"Paolo Iadarola",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bSCl8QAG/Profile_Picture_1623568118342",biography:"Paolo Iadarola graduated with a degree in Chemistry from the University of Pavia (Italy) in July 1972. He then worked as an Assistant Professor at the Faculty of Science of the same University until 1984. In 1985, Prof. Iadarola became Associate Professor at the Department of Biology and Biotechnologies of the University of Pavia and retired in October 2017. Since then, he has been working as an Adjunct Professor in the same Department at the University of Pavia. His research activity during the first years was primarily focused on the purification and structural characterization of enzymes from animal and plant sources. During this period, Prof. Iadarola familiarized himself with the conventional techniques used in column chromatography, spectrophotometry, manual Edman degradation, and electrophoresis). Since 1995, he has been working on: i) the determination in biological fluids (serum, urine, bronchoalveolar lavage, sputum) of proteolytic activities involved in the degradation processes of connective tissue matrix, and ii) on the identification of biological markers of lung diseases. In this context, he has developed and validated new methodologies (e.g., Capillary Electrophoresis coupled to Laser-Induced Fluorescence, CE-LIF) whose application enabled him to determine both the amounts of biochemical markers (Desmosines) in urine/serum of patients affected by Chronic Obstructive Pulmonary Disease (COPD) and the activity of proteolytic enzymes (Human Neutrophil Elastase, Cathepsin G, Pseudomonas aeruginosa elastase) in sputa of these patients. More recently, Prof. Iadarola was involved in developing techniques such as two-dimensional electrophoresis coupled to liquid chromatography/mass spectrometry (2DE-LC/MS) for the proteomic analysis of biological fluids aimed at the identification of potential biomarkers of different lung diseases. He is the author of about 150 publications (According to Scopus: H-Index: 23; Total citations: 1568- According to WOS: H-Index: 20; Total Citations: 1296) of peer-reviewed international journals. He is a Consultant Reviewer for several journals, including the Journal of Chromatography A, Journal of Chromatography B, Plos ONE, Proteomes, International Journal of Molecular Science, Biotech, Electrophoresis, and others. He is also Associate Editor of Biotech.",institutionString:null,institution:{name:"University of Pavia",institutionURL:null,country:{name:"Italy"}}},editorTwo:{id:"201414",title:"Dr.",name:"Simona",middleName:null,surname:"Viglio",slug:"simona-viglio",fullName:"Simona Viglio",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRKDHQA4/Profile_Picture_1630402531487",biography:"Simona Viglio is an Associate Professor of Biochemistry at the Department of Molecular Medicine at the University of Pavia. She has been working since 1995 on the determination of proteolytic enzymes involved in the degradation process of connective tissue matrix and on the identification of biological markers of lung diseases. She gained considerable experience in developing and validating new methodologies whose applications allowed her to determine both the amount of biomarkers (Desmosine and Isodesmosine) in the urine of patients affected by COPD, and the activity of proteolytic enzymes (HNE, Cathepsin G, Pseudomonas aeruginosa elastase) in the sputa of these patients. Simona Viglio was also involved in research dealing with the supplementation of amino acids in patients with brain injury and chronic heart failure. She is presently engaged in the development of 2-DE and LC-MS techniques for the study of proteomics in biological fluids. The aim of this research is the identification of potential biomarkers of lung diseases. She is an author of about 90 publications (According to Scopus: H-Index: 23; According to WOS: H-Index: 20) on peer-reviewed journals, a member of the “Società Italiana di Biochimica e Biologia Molecolare,“ and a Consultant Reviewer for International Journal of Molecular Science, Journal of Chromatography A, COPD, Plos ONE and Nutritional Neuroscience.",institutionString:null,institution:{name:"University of Pavia",institutionURL:null,country:{name:"Italy"}}},editorThree:null}]},overviewPageOFChapters:{paginationCount:49,paginationItems:[{id:"80495",title:"Iron in Cell Metabolism and Disease",doi:"10.5772/intechopen.101908",signatures:"Eeka Prabhakar",slug:"iron-in-cell-metabolism-and-disease",totalDownloads:1,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Iron Metabolism - Iron a Double‐Edged Sword",coverURL:"https://cdn.intechopen.com/books/images_new/10842.jpg",subseries:{id:"17",title:"Metabolism"}}},{id:"81799",title:"Cross Talk of Purinergic and Immune Signaling: Implication in Inflammatory and Pathogenic Diseases",doi:"10.5772/intechopen.104978",signatures:"Richa Rai",slug:"cross-talk-of-purinergic-and-immune-signaling-implication-in-inflammatory-and-pathogenic-diseases",totalDownloads:7,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Purinergic System",coverURL:"https://cdn.intechopen.com/books/images_new/10801.jpg",subseries:{id:"17",title:"Metabolism"}}},{id:"81764",title:"Involvement of the Purinergic System in Cell Death in Models of Retinopathies",doi:"10.5772/intechopen.103935",signatures:"Douglas Penaforte Cruz, Marinna Garcia Repossi and Lucianne Fragel Madeira",slug:"involvement-of-the-purinergic-system-in-cell-death-in-models-of-retinopathies",totalDownloads:4,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Purinergic System",coverURL:"https://cdn.intechopen.com/books/images_new/10801.jpg",subseries:{id:"17",title:"Metabolism"}}},{id:"81756",title:"Alteration of Cytokines Level and Oxidative Stress Parameters in COVID-19",doi:"10.5772/intechopen.104950",signatures:"Marija Petrusevska, Emilija Atanasovska, Dragica Zendelovska, Aleksandar Eftimov and Katerina Spasovska",slug:"alteration-of-cytokines-level-and-oxidative-stress-parameters-in-covid-19",totalDownloads:8,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Chemokines Updates",coverURL:"https://cdn.intechopen.com/books/images_new/11672.jpg",subseries:{id:"18",title:"Proteomics"}}}]},overviewPagePublishedBooks:{paginationCount:27,paginationItems:[{type:"book",id:"7006",title:"Biochemistry and Health Benefits of Fatty Acids",subtitle:null,coverURL:"https://cdn.intechopen.com/books/images_new/7006.jpg",slug:"biochemistry-and-health-benefits-of-fatty-acids",publishedDate:"December 19th 2018",editedByType:"Edited by",bookSignature:"Viduranga Waisundara",hash:"c93a00abd68b5eba67e5e719f67fd20b",volumeInSeries:1,fullTitle:"Biochemistry and Health Benefits of Fatty Acids",editors:[{id:"194281",title:"Dr.",name:"Viduranga Y.",middleName:null,surname:"Waisundara",slug:"viduranga-y.-waisundara",fullName:"Viduranga Y. Waisundara",profilePictureURL:"https://mts.intechopen.com/storage/users/194281/images/system/194281.jpg",biography:"Dr. Viduranga Waisundara obtained her Ph.D. in Food Science and Technology from the Department of Chemistry, National University of Singapore, in 2010. She was a lecturer at Temasek Polytechnic, Singapore from July 2009 to March 2013. She relocated to her motherland of Sri Lanka and spearheaded the Functional Food Product Development Project at the National Institute of Fundamental Studies from April 2013 to October 2016. She was a senior lecturer on a temporary basis at the Department of Food Technology, Faculty of Technology, Rajarata University of Sri Lanka. She is currently Deputy Principal of the Australian College of Business and Technology – Kandy Campus, Sri Lanka. She is also the Global Harmonization Initiative (GHI) Ambassador to Sri Lanka.",institutionString:"Australian College of Business & Technology",institution:null}]},{type:"book",id:"6820",title:"Keratin",subtitle:null,coverURL:"https://cdn.intechopen.com/books/images_new/6820.jpg",slug:"keratin",publishedDate:"December 19th 2018",editedByType:"Edited by",bookSignature:"Miroslav Blumenberg",hash:"6def75cd4b6b5324a02b6dc0359896d0",volumeInSeries:2,fullTitle:"Keratin",editors:[{id:"31610",title:"Dr.",name:"Miroslav",middleName:null,surname:"Blumenberg",slug:"miroslav-blumenberg",fullName:"Miroslav Blumenberg",profilePictureURL:"https://mts.intechopen.com/storage/users/31610/images/system/31610.jpg",biography:"Miroslav Blumenberg, Ph.D., was born in Subotica and received his BSc in Belgrade, Yugoslavia. He completed his Ph.D. at MIT in Organic Chemistry; he followed up his Ph.D. with two postdoctoral study periods at Stanford University. Since 1983, he has been a faculty member of the RO Perelman Department of Dermatology, NYU School of Medicine, where he is codirector of a training grant in cutaneous biology. Dr. Blumenberg’s research is focused on the epidermis, expression of keratin genes, transcription profiling, keratinocyte differentiation, inflammatory diseases and cancers, and most recently the effects of the microbiome on the skin. He has published more than 100 peer-reviewed research articles and graduated numerous Ph.D. and postdoctoral students.",institutionString:null,institution:{name:"New York University Langone Medical Center",institutionURL:null,country:{name:"United States of America"}}}]},{type:"book",id:"7978",title:"Vitamin A",subtitle:null,coverURL:"https://cdn.intechopen.com/books/images_new/7978.jpg",slug:"vitamin-a",publishedDate:"May 15th 2019",editedByType:"Edited by",bookSignature:"Leila Queiroz Zepka, Veridiana Vera de Rosso and Eduardo Jacob-Lopes",hash:"dad04a658ab9e3d851d23705980a688b",volumeInSeries:3,fullTitle:"Vitamin A",editors:[{id:"261969",title:"Dr.",name:"Leila",middleName:null,surname:"Queiroz Zepka",slug:"leila-queiroz-zepka",fullName:"Leila Queiroz Zepka",profilePictureURL:"https://mts.intechopen.com/storage/users/261969/images/system/261969.png",biography:"Prof. Dr. Leila Queiroz Zepka is currently an associate professor in the Department of Food Technology and Science, Federal University of Santa Maria, Brazil. She has more than fifteen years of teaching and research experience. She has published more than 550 scientific publications/communications, including 15 books, 50 book chapters, 100 original research papers, 380 research communications in national and international conferences, and 12 patents. She is a member of the editorial board of five journals and acts as a reviewer for several national and international journals. Her research interests include microalgal biotechnology with an emphasis on microalgae-based products.",institutionString:"Universidade Federal de Santa Maria",institution:{name:"Universidade Federal de Santa Maria",institutionURL:null,country:{name:"Brazil"}}}]},{type:"book",id:"7953",title:"Bioluminescence",subtitle:"Analytical Applications and Basic Biology",coverURL:"https://cdn.intechopen.com/books/images_new/7953.jpg",slug:"bioluminescence-analytical-applications-and-basic-biology",publishedDate:"September 25th 2019",editedByType:"Edited by",bookSignature:"Hirobumi Suzuki",hash:"3a8efa00b71abea11bf01973dc589979",volumeInSeries:4,fullTitle:"Bioluminescence - Analytical Applications and Basic Biology",editors:[{id:"185746",title:"Dr.",name:"Hirobumi",middleName:null,surname:"Suzuki",slug:"hirobumi-suzuki",fullName:"Hirobumi Suzuki",profilePictureURL:"https://mts.intechopen.com/storage/users/185746/images/system/185746.png",biography:"Dr. Hirobumi Suzuki received his Ph.D. in 1997 from Tokyo Metropolitan University, Japan, where he studied firefly phylogeny and the evolution of mating systems. He is especially interested in the genetic differentiation pattern and speciation process that correlate to the flashing pattern and mating behavior of some fireflies in Japan. He then worked for Olympus Corporation, a Japanese manufacturer of optics and imaging products, where he was involved in the development of luminescence technology and produced a bioluminescence microscope that is currently being used for gene expression analysis in chronobiology, neurobiology, and developmental biology. Dr. Suzuki currently serves as a visiting researcher at Kogakuin University, Japan, and also a vice president of the Japan Firefly Society.",institutionString:"Kogakuin University",institution:null}]}]},openForSubmissionBooks:{},onlineFirstChapters:{},subseriesFiltersForOFChapters:[],publishedBooks:{},subseriesFiltersForPublishedBooks:[],publicationYearFilters:[],authors:{paginationCount:148,paginationItems:[{id:"165328",title:"Dr.",name:"Vahid",middleName:null,surname:"Asadpour",slug:"vahid-asadpour",fullName:"Vahid Asadpour",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/165328/images/system/165328.jpg",biography:"Vahid Asadpour, MS, Ph.D., is currently with the Department of Research and Evaluation, Kaiser Permanente Southern California. He has both an MS and Ph.D. in Biomedical Engineering. He was previously a research scientist at the University of California Los Angeles (UCLA) and visiting professor and researcher at the University of North Dakota. He is currently working in artificial intelligence and its applications in medical signal processing. In addition, he is using digital signal processing in medical imaging and speech processing. Dr. Asadpour has developed brain-computer interfacing algorithms and has published books, book chapters, and several journal and conference papers in this field and other areas of intelligent signal processing. He has also designed medical devices, including a laser Doppler monitoring system.",institutionString:"Kaiser Permanente Southern California",institution:null},{id:"169608",title:"Prof.",name:"Marian",middleName:null,surname:"Găiceanu",slug:"marian-gaiceanu",fullName:"Marian Găiceanu",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/169608/images/system/169608.png",biography:"Prof. Dr. Marian Gaiceanu graduated from the Naval and Electrical Engineering Faculty, Dunarea de Jos University of Galati, Romania, in 1997. He received a Ph.D. (Magna Cum Laude) in Electrical Engineering in 2002. Since 2017, Dr. Gaiceanu has been a Ph.D. supervisor for students in Electrical Engineering. He has been employed at Dunarea de Jos University of Galati since 1996, where he is currently a professor. Dr. Gaiceanu is a member of the National Council for Attesting Titles, Diplomas and Certificates, an expert of the Executive Agency for Higher Education, Research Funding, and a member of the Senate of the Dunarea de Jos University of Galati. He has been the head of the Integrated Energy Conversion Systems and Advanced Control of Complex Processes Research Center, Romania, since 2016. He has conducted several projects in power converter systems for electrical drives, power quality, PEM and SOFC fuel cell power converters for utilities, electric vehicles, and marine applications with the Department of Regulation and Control, SIEI S.pA. (2002–2004) and the Polytechnic University of Turin, Italy (2002–2004, 2006–2007). He is a member of the Institute of Electrical and Electronics Engineers (IEEE) and cofounder-member of the IEEE Power Electronics Romanian Chapter. He is a guest editor at Energies and an academic book editor for IntechOpen. He is also a member of the editorial boards of the Journal of Electrical Engineering, Electronics, Control and Computer Science and Sustainability. Dr. Gaiceanu has been General Chairman of the IEEE International Symposium on Electrical and Electronics Engineering in the last six editions.",institutionString:'"Dunarea de Jos" University of Galati',institution:{name:'"Dunarea de Jos" University of Galati',country:{name:"Romania"}}},{id:"4519",title:"Prof.",name:"Jaydip",middleName:null,surname:"Sen",slug:"jaydip-sen",fullName:"Jaydip Sen",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/4519/images/system/4519.jpeg",biography:"Jaydip Sen is associated with Praxis Business School, Kolkata, India, as a professor in the Department of Data Science. His research areas include security and privacy issues in computing and communication, intrusion detection systems, machine learning, deep learning, and artificial intelligence in the financial domain. He has more than 200 publications in reputed international journals, refereed conference proceedings, and 20 book chapters in books published by internationally renowned publishing houses, such as Springer, CRC press, IGI Global, etc. Currently, he is serving on the editorial board of the prestigious journal Frontiers in Communications and Networks and in the technical program committees of a number of high-ranked international conferences organized by the IEEE, USA, and the ACM, USA. He has been listed among the top 2% of scientists in the world for the last three consecutive years, 2019 to 2021 as per studies conducted by the Stanford University, USA.",institutionString:"Praxis Business School",institution:null},{id:"320071",title:"Dr.",name:"Sidra",middleName:null,surname:"Mehtab",slug:"sidra-mehtab",fullName:"Sidra Mehtab",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y00002v6KHoQAM/Profile_Picture_1584512086360",biography:"Sidra Mehtab has completed her BS with honors in Physics from Calcutta University, India in 2018. She has done MS in Data Science and Analytics from Maulana Abul Kalam Azad University of Technology (MAKAUT), Kolkata, India in 2020. Her research areas include Econometrics, Time Series Analysis, Machine Learning, Deep Learning, Artificial Intelligence, and Computer and Network Security with a particular focus on Cyber Security Analytics. Ms. Mehtab has published seven papers in international conferences and one of her papers has been accepted for publication in a reputable international journal. She has won the best paper awards in two prestigious international conferences – BAICONF 2019, and ICADCML 2021, organized in the Indian Institute of Management, Bangalore, India in December 2019, and SOA University, Bhubaneswar, India in January 2021. Besides, Ms. Mehtab has also published two book chapters in two books. Seven of her book chapters will be published in a volume shortly in 2021 by Cambridge Scholars’ Press, UK. Currently, she is working as the joint editor of two edited volumes on Time Series Analysis and Forecasting to be published in the first half of 2021 by an international house. Currently, she is working as a Data Scientist with an MNC in Delhi, India.",institutionString:"NSHM College of Management and Technology",institution:null},{id:"226240",title:"Dr.",name:"Andri Irfan",middleName:null,surname:"Rifai",slug:"andri-irfan-rifai",fullName:"Andri Irfan Rifai",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/226240/images/7412_n.jpg",biography:"Andri IRFAN is a Senior Lecturer of Civil Engineering and Planning. He completed the PhD at the Universitas Indonesia & Universidade do Minho with Sandwich Program Scholarship from the Directorate General of Higher Education and LPDP scholarship. He has been teaching for more than 19 years and much active to applied his knowledge in the project construction in Indonesia. His research interest ranges from pavement management system to advanced data mining techniques for transportation engineering. He has published more than 50 papers in journals and 2 books.",institutionString:null,institution:{name:"Universitas Internasional Batam",country:{name:"Indonesia"}}},{id:"314576",title:"Dr.",name:"Ibai",middleName:null,surname:"Laña",slug:"ibai-lana",fullName:"Ibai Laña",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/314576/images/system/314576.jpg",biography:"Dr. Ibai Laña works at TECNALIA as a data analyst. He received his Ph.D. in Artificial Intelligence from the University of the Basque Country (UPV/EHU), Spain, in 2018. He is currently a senior researcher at TECNALIA. His research interests fall within the intersection of intelligent transportation systems, machine learning, traffic data analysis, and data science. He has dealt with urban traffic forecasting problems, applying machine learning models and evolutionary algorithms. He has experience in origin-destination matrix estimation or point of interest and trajectory detection. Working with large volumes of data has given him a good command of big data processing tools and NoSQL databases. He has also been a visiting scholar at the Knowledge Engineering and Discovery Research Institute, Auckland University of Technology.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"314575",title:"Dr.",name:"Jesus",middleName:null,surname:"L. Lobo",slug:"jesus-l.-lobo",fullName:"Jesus L. Lobo",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/314575/images/system/314575.png",biography:"Dr. Jesús López is currently based in Bilbao (Spain) working at TECNALIA as Artificial Intelligence Research Scientist. In most cases, a project idea or a new research line needs to be investigated to see if it is good enough to take into production or to focus on it. That is exactly what he does, diving into Machine Learning algorithms and technologies to help TECNALIA to decide whether something is great in theory or will actually impact on the product or processes of its projects. So, he is expert at framing experiments, developing hypotheses, and proving whether they’re true or not, in order to investigate fundamental problems with a longer time horizon. He is also able to design and develop PoCs and system prototypes in simulation. He has participated in several national and internacional R&D projects.\n\nAs another relevant part of his everyday research work, he usually publishes his findings in reputed scientific refereed journals and international conferences, occasionally acting as reviewer and Programme Commitee member. Concretely, since 2018 he has published 9 JCR (8 Q1) journal papers, 9 conference papers (e.g. ECML PKDD 2021), and he has co-edited a book. He is also active in popular science writing data science stories for reputed blogs (KDNuggets, TowardsDataScience, Naukas). Besides, he has recently embarked on mentoring programmes as mentor, and has also worked as data science trainer.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"103779",title:"Prof.",name:"Yalcin",middleName:null,surname:"Isler",slug:"yalcin-isler",fullName:"Yalcin Isler",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRyQ8QAK/Profile_Picture_1628834958734",biography:"Yalcin Isler (1971 - Burdur / Turkey) received the B.Sc. degree in the Department of Electrical and Electronics Engineering from Anadolu University, Eskisehir, Turkey, in 1993, the M.Sc. degree from the Department of Electronics and Communication Engineering, Suleyman Demirel University, Isparta, Turkey, in 1996, the Ph.D. degree from the Department of Electrical and Electronics Engineering, Dokuz Eylul University, Izmir, Turkey, in 2009, and the Competence of Associate Professorship from the Turkish Interuniversity Council in 2019.\n\nHe was Lecturer at Burdur Vocational School in Suleyman Demirel University (1993-2000, Burdur / Turkey), Software Engineer (2000-2002, Izmir / Turkey), Research Assistant in Bulent Ecevit University (2002-2003, Zonguldak / Turkey), Research Assistant in Dokuz Eylul University (2003-2010, Izmir / Turkey), Assistant Professor at the Department of Electrical and Electronics Engineering in Bulent Ecevit University (2010-2012, Zonguldak / Turkey), Assistant Professor at the Department of Biomedical Engineering in Izmir Katip Celebi University (2012-2019, Izmir / Turkey). He is an Associate Professor at the Department of Biomedical Engineering at Izmir Katip Celebi University, Izmir / Turkey, since 2019. In addition to academics, he has also founded Islerya Medical and Information Technologies Company, Izmir / Turkey, since 2017.\n\nHis main research interests cover biomedical signal processing, pattern recognition, medical device design, programming, and embedded systems. He has many scientific papers and participated in several projects in these study fields. He was an IEEE Student Member (2009-2011) and IEEE Member (2011-2014) and has been IEEE Senior Member since 2014.",institutionString:null,institution:{name:"Izmir Kâtip Çelebi University",country:{name:"Turkey"}}},{id:"339677",title:"Dr.",name:"Mrinmoy",middleName:null,surname:"Roy",slug:"mrinmoy-roy",fullName:"Mrinmoy Roy",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/339677/images/16768_n.jpg",biography:"An accomplished Sales & Marketing professional with 12 years of cross-functional experience in well-known organisations such as CIPLA, LUPIN, GLENMARK, ASTRAZENECA across different segment of Sales & Marketing, International Business, Institutional Business, Product Management, Strategic Marketing of HIV, Oncology, Derma, Respiratory, Anti-Diabetic, Nutraceutical & Stomatological Product Portfolio and Generic as well as Chronic Critical Care Portfolio. A First Class MBA in International Business & Strategic Marketing, B.Pharm, D.Pharm, Google Certified Digital Marketing Professional. Qualified PhD Candidate in Operations and Management with special focus on Artificial Intelligence and Machine Learning adoption, analysis and use in Healthcare, Hospital & Pharma Domain. Seasoned with diverse therapy area of Pharmaceutical Sales & Marketing ranging from generating revenue through generating prescriptions, launching new products, and making them big brands with continuous strategy execution at the Physician and Patients level. Moved from Sales to Marketing and Business Development for 3.5 years in South East Asian Market operating from Manila, Philippines. Came back to India and handled and developed Brands such as Gluconorm, Lupisulin, Supracal, Absolut Woman, Hemozink, Fabiflu (For COVID 19), and many more. In my previous assignment I used to develop and execute strategies on Sales & Marketing, Commercialization & Business Development for Institution and Corporate Hospital Business portfolio of Oncology Therapy Area for AstraZeneca Pharma India Ltd. Being a Research Scholar and Student of ‘Operations Research & Management: Artificial Intelligence’ I published several pioneer research papers and book chapters on the same in Internationally reputed journals and Books indexed in Scopus, Springer and Ei Compendex, Google Scholar etc. Currently, I am launching PGDM Pharmaceutical Management Program in IIHMR Bangalore and spearheading the course curriculum and structure of the same. I am interested in Collaboration for Healthcare Innovation, Pharma AI Innovation, Future trend in Marketing and Management with incubation on Healthcare, Healthcare IT startups, AI-ML Modelling and Healthcare Algorithm based training module development. I am also an affiliated member of the Institute of Management Consultant of India, looking forward to Healthcare, Healthcare IT and Innovation, Pharma and Hospital Management Consulting works.",institutionString:null,institution:{name:"Lovely Professional University",country:{name:"India"}}},{id:"1063",title:"Prof.",name:"Constantin",middleName:null,surname:"Volosencu",slug:"constantin-volosencu",fullName:"Constantin Volosencu",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/1063/images/system/1063.png",biography:"Prof. Dr. Constantin Voloşencu graduated as an engineer from\nPolitehnica University of Timișoara, Romania, where he also\nobtained a doctorate degree. He is currently a full professor in\nthe Department of Automation and Applied Informatics at the\nsame university. Dr. Voloşencu is the author of ten books, seven\nbook chapters, and more than 160 papers published in journals\nand conference proceedings. He has also edited twelve books and\nhas twenty-seven patents to his name. He is a manager of research grants, editor in\nchief and member of international journal editorial boards, a former plenary speaker, a member of scientific committees, and chair at international conferences. His\nresearch is in the fields of control systems, control of electric drives, fuzzy control\nsystems, neural network applications, fault detection and diagnosis, sensor network\napplications, monitoring of distributed parameter systems, and power ultrasound\napplications. He has developed automation equipment for machine tools, spooling\nmachines, high-power ultrasound processes, and more.",institutionString:"Polytechnic University of Timişoara",institution:{name:"Polytechnic University of Timişoara",country:{name:"Romania"}}},{id:"221364",title:"Dr.",name:"Eneko",middleName:null,surname:"Osaba",slug:"eneko-osaba",fullName:"Eneko Osaba",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/221364/images/system/221364.jpg",biography:"Dr. Eneko Osaba works at TECNALIA as a senior researcher. He obtained his Ph.D. in Artificial Intelligence in 2015. He has participated in more than twenty-five local and European research projects, and in the publication of more than 130 papers. He has performed several stays at universities in the United Kingdom, Italy, and Malta. Dr. Osaba has served as a program committee member in more than forty international conferences and participated in organizing activities in more than ten international conferences. He is a member of the editorial board of the International Journal of Artificial Intelligence, Data in Brief, and Journal of Advanced Transportation. He is also a guest editor for the Journal of Computational Science, Neurocomputing, Swarm, and Evolutionary Computation and IEEE ITS Magazine.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"275829",title:"Dr.",name:"Esther",middleName:null,surname:"Villar-Rodriguez",slug:"esther-villar-rodriguez",fullName:"Esther Villar-Rodriguez",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/275829/images/system/275829.jpg",biography:"Dr. Esther Villar obtained a Ph.D. in Information and Communication Technologies from the University of Alcalá, Spain, in 2015. She obtained a degree in Computer Science from the University of Deusto, Spain, in 2010, and an MSc in Computer Languages and Systems from the National University of Distance Education, Spain, in 2012. Her areas of interest and knowledge include natural language processing (NLP), detection of impersonation in social networks, semantic web, and machine learning. Dr. Esther Villar made several contributions at conferences and publishing in various journals in those fields. Currently, she is working within the OPTIMA (Optimization Modeling & Analytics) business of TECNALIA’s ICT Division as a data scientist in projects related to the prediction and optimization of management and industrial processes (resource planning, energy efficiency, etc).",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"49813",title:"Dr.",name:"Javier",middleName:null,surname:"Del Ser",slug:"javier-del-ser",fullName:"Javier Del Ser",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/49813/images/system/49813.png",biography:"Prof. Dr. Javier Del Ser received his first PhD in Telecommunication Engineering (Cum Laude) from the University of Navarra, Spain, in 2006, and a second PhD in Computational Intelligence (Summa Cum Laude) from the University of Alcala, Spain, in 2013. He is currently a principal researcher in data analytics and optimisation at TECNALIA (Spain), a visiting fellow at the Basque Center for Applied Mathematics (BCAM) and a part-time lecturer at the University of the Basque Country (UPV/EHU). His research interests gravitate on the use of descriptive, prescriptive and predictive algorithms for data mining and optimization in a diverse range of application fields such as Energy, Transport, Telecommunications, Health and Industry, among others. In these fields he has published more than 240 articles, co-supervised 8 Ph.D. theses, edited 6 books, coauthored 7 patents and participated/led more than 40 research projects. He is a Senior Member of the IEEE, and a recipient of the Biscay Talent prize for his academic career.",institutionString:"Tecnalia Research & Innovation",institution:null},{id:"278948",title:"Dr.",name:"Carlos Pedro",middleName:null,surname:"Gonçalves",slug:"carlos-pedro-goncalves",fullName:"Carlos Pedro Gonçalves",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRcmyQAC/Profile_Picture_1564224512145",biography:'Carlos Pedro Gonçalves (PhD) is an Associate Professor at Lusophone University of Humanities and Technologies and a researcher on Complexity Sciences, Quantum Technologies, Artificial Intelligence, Strategic Studies, Studies in Intelligence and Security, FinTech and Financial Risk Modeling. He is also a progammer with programming experience in:\n\nA) Quantum Computing using Qiskit Python module and IBM Quantum Experience Platform, with software developed on the simulation of Quantum Artificial Neural Networks and Quantum Cybersecurity;\n\nB) Artificial Intelligence and Machine learning programming in Python;\n\nC) Artificial Intelligence, Multiagent Systems Modeling and System Dynamics Modeling in Netlogo, with models developed in the areas of Chaos Theory, Econophysics, Artificial Intelligence, Classical and Quantum Complex Systems Science, with the Econophysics models having been cited worldwide and incorporated in PhD programs by different Universities.\n\nReceived an Arctic Code Vault Contributor status by GitHub, due to having developed open source software preserved in the \\"Arctic Code Vault\\" for future generations (https://archiveprogram.github.com/arctic-vault/), with the Strategy Analyzer A.I. module for decision making support (based on his PhD thesis, used in his Classes on Decision Making and in Strategic Intelligence Consulting Activities) and QNeural Python Quantum Neural Network simulator also preserved in the \\"Arctic Code Vault\\", for access to these software modules see: https://github.com/cpgoncalves. He is also a peer reviewer with outsanding review status from Elsevier journals, including Physica A, Neurocomputing and Engineering Applications of Artificial Intelligence. Science CV available at: https://www.cienciavitae.pt//pt/8E1C-A8B3-78C5 and ORCID: https://orcid.org/0000-0002-0298-3974',institutionString:"University of Lisbon",institution:{name:"Universidade Lusófona",country:{name:"Portugal"}}},{id:"241400",title:"Prof.",name:"Mohammed",middleName:null,surname:"Bsiss",slug:"mohammed-bsiss",fullName:"Mohammed Bsiss",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/241400/images/8062_n.jpg",biography:null,institutionString:null,institution:null},{id:"276128",title:"Dr.",name:"Hira",middleName:null,surname:"Fatima",slug:"hira-fatima",fullName:"Hira Fatima",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/276128/images/14420_n.jpg",biography:"Dr. Hira Fatima\nAssistant Professor\nDepartment of Mathematics\nInstitute of Applied Science\nMangalayatan University, Aligarh\nMobile: no : 8532041179\nhirafatima2014@gmal.com\n\nDr. Hira Fatima has received his Ph.D. degree in pure Mathematics from Aligarh Muslim University, Aligarh India. Currently working as an Assistant Professor in the Department of Mathematics, Institute of Applied Science, Mangalayatan University, Aligarh. She taught so many courses of Mathematics of UG and PG level. Her research Area of Expertise is Functional Analysis & Sequence Spaces. She has been working on Ideal Convergence of double sequence. She has published 17 research papers in National and International Journals including Cogent Mathematics, Filomat, Journal of Intelligent and Fuzzy Systems, Advances in Difference Equations, Journal of Mathematical Analysis, Journal of Mathematical & Computer Science etc. She has also reviewed few research papers for the and international journals. She is a member of Indian Mathematical Society.",institutionString:null,institution:null},{id:"414880",title:"Dr.",name:"Maryam",middleName:null,surname:"Vatankhah",slug:"maryam-vatankhah",fullName:"Maryam Vatankhah",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Borough of Manhattan Community College",country:{name:"United States of America"}}},{id:"414879",title:"Prof.",name:"Mohammad-Reza",middleName:null,surname:"Akbarzadeh-Totonchi",slug:"mohammad-reza-akbarzadeh-totonchi",fullName:"Mohammad-Reza Akbarzadeh-Totonchi",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Ferdowsi University of Mashhad",country:{name:"Iran"}}},{id:"414878",title:"Prof.",name:"Reza",middleName:null,surname:"Fazel-Rezai",slug:"reza-fazel-rezai",fullName:"Reza Fazel-Rezai",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"American Public University System",country:{name:"United States of America"}}},{id:"302698",title:"Dr.",name:"Yao",middleName:null,surname:"Shan",slug:"yao-shan",fullName:"Yao Shan",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Dalian University of Technology",country:{name:"China"}}},{id:"125911",title:"Prof.",name:"Jia-Ching",middleName:null,surname:"Wang",slug:"jia-ching-wang",fullName:"Jia-Ching Wang",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"National Central University",country:{name:"Taiwan"}}},{id:"357085",title:"Mr.",name:"P. Mohan",middleName:null,surname:"Anand",slug:"p.-mohan-anand",fullName:"P. Mohan Anand",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Indian Institute of Technology Kanpur",country:{name:"India"}}},{id:"356696",title:"Ph.D. Student",name:"P.V.",middleName:null,surname:"Sai Charan",slug:"p.v.-sai-charan",fullName:"P.V. Sai Charan",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Indian Institute of Technology Kanpur",country:{name:"India"}}},{id:"357086",title:"Prof.",name:"Sandeep K.",middleName:null,surname:"Shukla",slug:"sandeep-k.-shukla",fullName:"Sandeep K. 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He obtained his Master’s degree in the Department of Information and Communications from Gwangju Institute of Science and Technology (GIST) in 2003. In 2010, he received his Ph.D. degree in the School of Information and Mechatronics from GIST. In the meantime, he was an executed team leader at Culture Technology Institute, GIST, 2010-2012. In 2011, he worked at Lancaster University, the UK as a visiting scholar. In September 2012, he joined Daegu University, where he is currently an associate professor in the School of ICT Conver, Daegu University. Also, he served as the Board of Directors of KSIIS since 2019, and HCI Korea since 2016. From 2017~2019, he worked as a center director of the Mixed Reality Convergence Research Center at Daegu University. From 2015-2017, He worked as a director in the Enterprise Supporting Office of LINC Project Group, Daegu University. 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