Summary of studies on
Abstract
Staphylococcus aureus is a common human pathogen that can cause mild superficial infections to deep-seated abscesses and sepsis. One of the characteristics of S. aureus is the ability to colonise healthy individuals while leaving them asymptomatic. These carriers’ risk harbouring an antibiotic-resistant strain that may be harmful to the individual and the community. S. aureus carriage in healthcare personnel is being studied extensively in many parts of the world. However, the relationship between colonisation and disease among those with no previous exposure to healthcare remains untouched. Colonisation of the nasal cavity and its surrounding by pathogenic organisms such as S. aureus leads to the increased risk of infection. Hospital-acquired infections associated with S. aureus infections are common and studies related to these types of infections among various study groups are largely documented. However, over the last decade, an increase in community-associated methicillin-resistant S. aureus has been noted, increasing the need to identify the prevalence of the organism among healthy individuals and assessing the antibiotic resistance patterns. Systemic surveillance of the community for colonisation of S. aureus and identifying the antibiotic-resistant pattern is critical to determine the appropriate empiric antibiotic treatment.
Keywords
- Staphylococcus aureus
- multidrug resistance S. aureus
- community acquired-MRSA
- healthy individuals
- antibiotic resistance
1. Introduction
Nasal colonisation of
Antimicrobial resistance has caused a significant challenge to modern medicine as well as to the possibility of effective treatment of infectious diseases. The emergence of antibiotic resistance among
In Asia, the multidrug-resistant strains of
2. Colonisation
The colonisation of the human body with
Various other sites colonisation the
The prevalence rates of
Research conducted among healthy individuals in Malaysia revealed a low prevalence rate of
3. A pathogen of concern
Numerous studies have demonstrated a significant incidence of
No. | Author, year | Purpose/Aims/Goals | Approach/Method/Experiment | Dataset/Sampling | Findings/Results |
---|---|---|---|---|---|
1 | (Ahmadi et al., 2019) | Evaluate nasal colonisation of MRSA in healthy individuals | Cross-sectional study ABST by agar disk diffusion PCR for | 600 randomly chosen individuals based on non-probability haphazard sampling type | High incidence of CA-MRSA in asymptomatic individuals |
2 | (Abroo et al., 2017) | Investigate prevalence, antimicrobial susceptibility, and molecular characteristics of CA-MRSA | ABST by disc diffusion | Nasal swabs of 700 healthy student volunteers | High frequency of |
3 | (Hanif & Hassan, 2019) | Evaluation of sensitivity value of | 265 clinical | An increase in an overall antibiotic-resistant trend seen | |
4 | (Eibach et al., 2017) | Identify demographic and season-specific carriage rates, clonal types, virulence markers, and antibiotic susceptibilities of | Spa -typing for virulence testing and PCR for TSST, | 544 children <15 years, nasal swab sample collected on admission | The nasal carriage was dependent on age and season. Multidrug resistance within |
5 | (Chen et al., 2016) | Investigate the nasal carriage, molecular characterisation, and antimicrobial resistance of | Nasal swabs from 292 patients 48 hrs within the admission | Nasal colonisation of CA-MRSA and H.A.- MRSA detected with high resistance to erythromycin among | |
6 | (Chen et al., 2017) | Determine prevalence and risk factors of | Cross-sectional study Identification of ABST by disk diffusion Questionnaire to identify risk | Two hundred ninety-five nasal swabs were taken from university teachers, undergraduates, middle school, salesclerks, and retirees. | Prevalence of |
7 | (Conceição et al., 2019) | Determine MRSA colonisation rates and significant risk factors for | MRSA was confirmed by PCR amplification of Characterisation by PFGE, spa typing, MLST, SCCmec typing, and | Nasal swabs from 84 individuals >18 years old meeting the eligibility criteria (living without facilities to cook and intact nasal mucosa) | |
8 | (Laub et al., 2018) | Estimate | Nasal swabs of 1390 healthy children (3 to 7) year old from 20 different day-care centres | A high carriage rate of | |
9 | (Le et al., 2018) | Determine whether analysis of a single | Biochemical testing to identify ABST was done by disc diffusion method | 19 participants (190 isolates total) were selected from a cohort of industrial hog operation workers and household members | Relying on testing one isolate may not capture the variable characteristics of |
10 | (Ronga et al., 2019) | Evaluate cumulative antibiograms of | Biochemical identification and antibiotic susceptibility by VITEK MSTM and VITEK 2 System TM | 1229 samples from hospitalised and ambulatory care patients | Higher resistance rates were detected for penicillin, oxacillin, levofloxacin, erythromycin, and clindamycin. The difference in annual resistance was not statistically significant |
11 | (Okamo et al., 2016) | Determine the prevalence and antimicrobial susceptibility profile of S. aureus and MRSA and identify the association of | Cross-sectional study. Questionnaire to collect demographic and clinical information. S. aureus identification by gram and biochemical testing. ABST by disk diffusion | Nasal swabs of 314 medical students were randomly selected. Pre-clinical (n = 166) and clinical (n = 148) | High prevalence of |
12 | (Ansari et al., 2016) | Assess the nasal carriage rate of | Cross-sectional study. | The nasal swab of 200 medical students who were not exposed to a clinical setting | No significant association with |
13 | (Gong et al., 2017) | Describe the prevalence of | Nasal swabs of 314 healthy Tibetan children living at an altitude of 2500–4100 meters. | Prevalence of | |
14 | (Wang et al., 2017) | Elucidate the carriage rate of | The nasal swabs of 259 students; 120 non-athletes, and 139 athletes | No significant difference in the nasal carriage of MRSA among athletes and non-athletes. The carriage rate of | |
15 | (Suhaili et al., 2018) | Assess antimicrobial susceptibility profiles of S. aureus isolated from a healthy population and determine the prevalence of constitutive and inducible clindamycin resistance | Nasal swabs of 200 university students in health sciences | The presence of | |
16 | (Azis et al., 2017) | Assess and compare the antimicrobial susceptibility pattern of | 120 university students, nasal swabs collected, and persistent carriers identified (n = 39) | Persistent antimicrobial patterns and limited methicillin resistance-associate genotypes were observed. | |
17 | (Lim Fong et al., 2018) | Prevalence and antibiotic sensitivity profile of | Culture and biochemical testing for the identification of | 60 medical students, 24 preclinical and 36 clinical, nasal swabs collected | High prevalence of |
19 | (Damen et al., 2018) | Determine the prevalence and antibiotic susceptibility of | Culture, gram and biochemical tests for identification of | 241 medical laboratory science students. Nasal swabs collected | A high prevalence of |
20 | (Dunyach-Remy et al., 2017) | Compare genotypic profile of | Biochemical identification and antibiotic susceptibility of | 276 patients with diabetic foot ulcers. Nasal swabs and wound swabs collected | A high percentage of the diabetic population harbours the same |
21 | (El Aila et al., 2017) | Prevalence of | Cross-sectional study. Organism identification by culture, gram and biochemical tests. ABST by disk diffusion. | 200 nasal swabs from health care workers | Nasal carriage of MRSA high among health care workers |
22 | (Nakamura et al., 2017) | Effect of nasal carriage of | Statistical analysis identifying the significance of results | 4148 patients screened for nasal bacterial carriage before orthopaedic surgery | Patients with nasal carriage of |
23 | (Walsh et al., 2018) | Determine if there is a specific patient population at increased risk of | Nasal screening is done six weeks before surgery and five days before surgery after chlorhexidine wash. Univariate and multivariate analysis to determine independent risk factors | 716 patients undergoing primary or revision total hip arthroplasty (THA) and knee arthroplasty (TKA) | Patients on dialysis and patients with diabetes mellitus had a higher carrier rate of |
24 | (Karabay, 2016) | Investigate and compare the frequency of nasal carriage of | Nasal swabs were taken from 146 medical students; 82 preclinical and 64 clinical students | Frequency of nasal carriage of | |
25 | (Rampal et al., 2020) | Detect colonisation and contributory factors of MRSA on neckties, headscarves, and I.D. badges among medical students | Cross sectionals study. MRSA was identified using traditional culture and PCR. | 251 students participated and 433 swab samples were collected from accessories | A significant association between preclinical vs. clinical medical students and |
26 | (Albert et al., 2018) | Determine the prevalence of | Detection of | Nasal swabs of 207 patients with rheumatoid arthritis and 37 healthy controls | No significant difference between R.A. patients and the general population in the prevalence of |
27 | (Hobbs et al., 2018) | Determine the prevalence and risk factors of | 5006 nasal swabs, 4868 oropharyngeal swabs, and 5105 skin swabs from a total of 5126 children | ||
onset of infection | |||||
28 | (Haque et al., 2016) | Identify the knowledge level of medical students about antibiotic resistance in clinical years of university | Cross-sectional questionnaire-based survey. | 164 students studying MBBS in years III, IV, and V | Identified that there is a gap between theoretical input and clinical practice |
29 | (Huang et al., 2019) | Nasal carriage of MRSA among international conference attendees | Detection of MRSA by PCR and cefoxitin disc. Genotyping and molecular characterisation by PFGE, MLST. | Nasal swabs of 209 conference attendees from 23 countries | MRSA carriage rates were similar to previous studies. |
30 | (Lin et al., 2020) | Assess the concordance between colonisation and clinical MRSA isolates | Nasal swabs of 354 diabetic patients, 112 with foot ulcer and 242 without foot ulcer | Nasal MRSA carriage is a significant risk factor for foot ulcer MRSA infection | |
31 | (El-Mahdy et al., 2018) | Frequency of | Two hundred ten healthy individuals; 70 non-hospitalised adults, 68 clinical students, 72 HCWS. Nasal swabs collected | Higher colonisation rate in the healthy community compared to clinical students and HCWs | |
32 | (Bhoi et al., 2020) | Prevalence and risk factors for MRSA nasal colonisation in diabetic patients | Culture and biochemical testing for the identification of | Four hundred two patients were diagnosed with diabetes. Nasal swabs collected | Nasal colonisation rate of MRSA higher in diabetes mellitus patients |
33 | (Wu et al., 2019) | Prevalence of nasal carriage and diversity of MRSA among patients and HCWs | The mecA gene and cefoxitin resistance identify MRSA. ABST by disc diffusion. | Nasal swabs of 204 patients visiting the emergency department and 326 HCWS | Nasal MRSA colonisation was observed in both patients and HCWs |
34 | (Rasheed & Hussein, 2020) | Prevalence rate and antibiotic sensitivity profile of | A cross-sectional community-based study. | Four hundred ninety-two students were selected based on exclusion criteria. Nasal | A high prevalence of |
testing. ABST by disc diffusion | swabs were collected | selected population. | |||
35 | (Azmi et al., 2020) | Prevalence of | A cross-sectional study. Culture and biochemical testing were performed to identify | 140 oral rinse samples from healthy individuals | High prevalence of |
36 | (Seow et al., 2021) | Identify the prevalence of | 200 hand swab samples from food handlers and 100 cooked food samples | Increased prevalence of | |
37 | (Hanson et al., 2018) | Determine the prevalence of | Nasal and oropharyngeal swabs of 263 participants; 177 adults and 86 minors | Higher prevalence of | |
38 | (Oberoi et al., 2020) | Detect inducible clindamycin resistance in nasal carriers of | A prospective cross-sectional study. Identification of | Nasal samples of 100 nursing staff and doctors | Increasing incidence of MRSA and inducible clindamycin resistance among health care workers |
39 | (Carrel et al., 2017) | Emergence and diffusion of clindamycin and erythromycin-resistant MSSA among veterans | A retrospective cohort was conducted to identify MSSA invasive infections. MSSA isolates tested against tetracycline, lincosamides, and macrolides only included | 34,025 patient isolates meeting inclusion criteria included | Increase in phenotypic of potential ST398 (resistant to clindamycin and erythromycin but tetracycline susceptible) MSSA |
40 | (Che Hamzah et al., 2019) | Evaluate susceptibility profiles of MRSA and MSSA and determine the prevalence of inducible clindamycin resistance | ABST testing was performed by disc diffusion. Tigecycline and vancomycin resistance detected by MIC | 199 | Overall high prevalence of inducible clindamycin resistance and tigecycline resistance seen |
4. Antimicrobial resistance patterns
Antibiotic resistance is a huge global threat rising dangerously to a high level. According to the WHO global priority list of antibiotic-resistant bacteria,
The development of methicillin resistance among
The prevalence of MRSA among clinical isolates and community samples still exists [39, 40, 87], but recent studies reveal a decrease in MRSA prevalence specifically in the community [88, 89, 90, 91]. To identify whether an MRSA isolate is community-associated or not molecular testing can be done to identify the presence of the gene SCCmec types IV and V as these two types are the most prevalent among CA-MRSA strains [89]. Similarly,
With the decrease in the prevalence of MRSA seen in different populations, an increase in resistance to lincosamides and macrolides among
A study conducted among school children in Kathmandu, Nepal revealed 23.4% isolates to show inducible resistance to clindamycin [103]. Similarly 15.2% of isolates from clinical specimens from an Iran hospital showed inducible clindamycin resistance [104]. As both antimicrobial groups, namely lincosamides and macrolides, have been used to treat
5. Multidrug-Resistant S. aureus
Replace
Apart from methicillin resistance in
6. Conclusion
This chapter offers more proof of the significant incidence of multidrug-resistant
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