| Literature DB >> 33223835 |
Canna Jagdish Ghia1, Shaumil Waghela1, Gautam Rambhad1.
Abstract
AIM ANDEntities:
Keywords: India; Methicillin resistant S. aureus; prevalence
Year: 2020 PMID: 33223835 PMCID: PMC7656882 DOI: 10.1177/1178633720970569
Source DB: PubMed Journal: Infect Dis (Auckl) ISSN: 1178-6337
Figure 1.PRISMA flow diagram.
Abbreviations: ICMR, Indian Council of Medical Research; IDSA, infectious diseases society of America; WHO, World Health Organization; NICE, National Institute for Health and Care Excellence.
Study characteristics.
| Author | Design of the study/type of literature | Number of patients | Risk factor and etiology | Diagnostic test | Mean (±SD) /medium age (Range) in years | Study Objectives | Geographic location/type of hospital/province |
|---|---|---|---|---|---|---|---|
| Bahubali et al[ | Retrospective study | 21 Patients | Postoperative/trauma, otogenic and hematogenous abscess, sinusitis, contiguous spread, immunosuppression (diabetes with pulmonary tuberculosis, malignant tumor, and leprosy) | Cerebral CT scan, MRI, triplex PCR assay | 31 (1 month-73 years) | To examine the prevalence, clinical and molecular characteristics, treatment options and outcome of MRSA intracranial abscess over a period of 6 years | India |
| Kumar et al[ | Retrospective study | 47 | VRSA, LRSA, TRSA | PCR amplification | Not available | To evaluate the resistance patterns of | Odisha, East India |
| Kini et al[ | Retrospective observational study | 74 patients | Bone and joint infections, osteomyelitis, septic arthritis, resistance of | Laboratory evaluations [including blood hemoglobin and hematocrit percentage, ESR, CRP, WBC, ANC, blood cultures positive for | 8.76 for MRSA and 8.97 for MSSA (8 months to 17 years) | To compare invasive CA-MRSA and CA-MSSA bone and joint infections, characterize the spectrum and incidence of the disease, identify the presence or absence of traditional MRSA risk factors, determine antibiotic susceptibilities of these organisms, and predict a clinical algorithm that will help distinguish an MRSA infection | India |
| Rajaduraipandi et al[ | Multicenter study | 906 isolates | Resistance of | Kirby–Bauer disk diffusion method | Not available | To determine the prevalence and antibiotic susceptibility pattern of MRSA | Tamil Nadu |
| Noguchi et al[ | Prospective, multicountry study | 894 isolates | MRSA | PCR and PFGE typing | Not available | To examine the susceptibilities of MRSA to dyes and antiseptic agents | Asia |
| Mendem et al[ | Multicenter study | 387 clinical specimens | D test, Mueller–Hinton agar plate, Kirby–Bauer disk diffusion method | Not available | To evaluate the prevalence of antibiotic resistance among | Delhi, Bengaluru, Palakkad, Chennai, and Gulbarga | |
| Sakthirajan et al[ | Retrospective, observational study | 47 patients | Infection-related glomerulonephritis, rheumatic valvular disease, alcohol-related chronic liver disease, HIV infection, urinary tract infection, diarrhea, and pneumonia, ESRD, CKD, requirement of dialysis, hematuria, hypocomplementemia | Not available | 42 (± 13.5) years | To analyze the risk factors, etiology, clinical features, and outcome of crescentic infection-related glomerulonephritis. | Tamil Nadu |
| Kotpal et al[ | Case-control study | 100 patients | Hospitalization, intake of antibiotics, surgical procedure, tuberculosis, diabetes, alcohol intake, malignancy, smoking, corticosteroid intake, candidiasis, dermatitis, HIV infection, immunocompromised | Disk diffusion method, cefoxitin disk diffusion method | 33.96 for HIV-infected and 33.78 for HIV-uninfected individuals | To evaluate the prevalence of nasal colonization of | India |
| Mehndiratta et al[ | Laboratory perspective study | 125 isolates | Not available | Agar screening method, PCR, PCR-RFLP | Not available | To characterize MRSA strains by molecular typing based on PCR-RFLP of | Delhi |
| Gupta et al[ | Laboratory study | 200 Non-duplicate | Sensitivity to vancomycin and linezolid | Routine Kirby–Bauer disk Diffusion method | Not available | To determine the percentage of | Punjab |
| Batra et al[ | Retrospective observational study | 13 329 cultures | Blood cancer | Kirby–Bauer disk diffusion method, HiCrome MeReSa agar | Not available | To study the epidemiology of microbiologically documented bacterial infection and the resistance pattern, among cancer patients undergoing treatment | Delhi |
| Rajkumar et al[ | ICMR antimicrobial resistance surveillance study | 8032 isolates | VRSA, skin and soft tissue infections, | Kirby–Bauer disk‑diffusion method, PCR amplifications | Not available | To study antimicrobial resistance in | India |
| Mahapatra et al[ | Hospital-based study | 1017 specimens | Skin and soft tissue infection, septicemia, pneumonia, meningitis, none and joint space, clindamycin resistance | Not available | Not available | To evaluate antibiotic sensitivity and clinico-epidemiologic profile of Staphylococcal infections | Kolkata |
| Ravishankar et al[ | Cross-sectional, observational study | 73 patients | Skin and soft tissue infections (SSTIs), hospitalization, surgery, dialysis, diabetes mellitus and HIV infections, resistant to clindamycin | Kirby–Bauer disk- diffusion method, cefoxitin disk diffusion test | 34.2 (10-69) years | To study the prevalence of MRSA in CA-SSTIs and to compare the socio-demographic and clinical profile of patients with SSTIs caused by MRSA and MSSA | Delhi |
| Thacker et al[ | Retrospective observational study | 4198 samples | Gram-negative Bacilli, BSI, coagulase-negative | Kirby–Bauer’s disk-diffusion method, cephalosporin–clavulanate combination disks | Not available | To describe the etiology and sensitivity of BSI in the pediatric oncology unit at a tertiary cancer center | Mumbai |
| Shah et al[ | Prospective observational study | 24 355 patients | Not available | 51 (2 days-88 years) years | To generate accurate current data on rates, microbial etiology and antimicrobial susceptibility pattern of SSIs | Mumbai, Maharashtra | |
| Mandal et al[ | Hospital-based observational prospective study | 36 cases | Disseminated Staphylococcal disease, neutrophilic leucocytosis, bilateral pyopneumothorax, multiple pyemic abscesses with empyema, meningitis, pyopericardium, trauma, septic arthritis, skin infection | Complete hemogram, LFT, urea, creatinine, blood sugar, Candida skin test, ELISA, catalase test, slide coagulase test and tube coagulase test, Kirby–Bauer disk-diffusion method | 6.03 ± 3.04 (1-12) years | To assess the etiology, precipitating factors, treatment and outcome of DSD in healthy immuno-competent children | West Bengal |
| Mathews et al[ | Laboratory study | 610 isolates | Surgical-site wounds, diabetic foot infections, burns, osteomyelitis/septic arthritis, cellulitis, other skin infections, urinary tract infections, septicemia, pneumonia | Oxacillin disk diffusion, cefoxitin disk diffusion, oxacillin screen agar, PCR, agar diluti on method | Not available | To evaluate the efficacy of cefoxitin disk-diffusion test to detect MRSA and compare it with other phenotypic and molecular methods | Coimbatore, India |
| Rosenthal et al[ | Multicenter, prospective cohort surveillance study | 21 069 patients | Device-associated infections, VAP, laboratory-confirmed and clinically suspected central venous catheter-associated BSI, catheter-associated UTI, | Not available | Not available | To ascertain the incidence of device-associated infections in the ICUs of developing countries | Argentina, Brazil, Colombia, India, Mexico, Morocco, Peru, and Turkey |
| Dube et al[ | Multicenter, open-label, randomized, comparative, parallel -group, active-controlled, phase III clinical trial | 162 patients | Postoperative wounds, pneumonia, skin and soft tissue infections such as infected ulcers, and deep abscess, polymicrobial infections, serious infections like meningitis and endocarditis, CAP | Normal Rinne and Weber test | 40.80 (± 13.68) in arbekacin group and 40.65 (± 14.69) in vancomycin group | To evaluate the safety and efficacy of arbekacin sulfate injection versus vancomycin injection in patients diagnosed with MRSA infection | 9 centres in India |
| Umashankar et al[ | Open-label, prospective, placebo-controlled study | 372 patients | Pyoderma, | Colony morphology, Gram stain, catalase test, slide and tube coagulase test and modified Hugh Leifson’s oxidation fermentation test, Kirby–Bauer disk-diffusion method | 12.31 in green tea group and 11.01 in placebo group (8 to 16) years | To determine the minimum inhibitory concentration of green tea against | Karnataka, India |
| Corey et al[ | An international, randomized, double-blind study | 968 Patients | Acute wound infection, cellulitis, or major cutaneous abscess, diabetes mellitus, acute bacterial skin and skin-structure infections | Not available | 46.2 (± 14.20) in oritavancin group and 44.3 (± 14.50) in vancomycin group (18-93 years) | To evaluate the efficacy and safety of a single dose of oritavancin as compared with a regimen of twice daily vancomycin for 7 to 10 days | Pune and Lucknow, India |
| Corey et al[ | Randomized, double-blind, clinical, trial | 1019 patients | Acute bacterial SSTIs, lipoglycopeptide, wound infection, cellulitis, abscess, diabetes mellitus | Not available | 45.0 (13.40) years in oritavancin group 44.4 (14.29) years in vancomycin group; range: 18-92 years | To evaluate the efficacy and safety of a single dose of oritavancin compared with a regimen of twice-daily vancomycin | One site is from Nagpur, India |
| Iyer et al[ | Laboratory study | 50 Isolates | Not available | Disk-diffusion method | Not available | To develop, standardize, and compare modified population analysis profile with the existing methodologies to detect hetero-resistance to vancomycin in MRSA isolates | Hyderabad, Andhra Pradesh and Bengaluru, Karnataka |
| Asati et al[ | Hospital-based observational study | 860 admitted patient | Use of immunosuppressive agents, recent hospitalization, diabetes mellitus, smoking, sepsis, presence of cough, burning micturition, skin infection | Not available | 36.56 (± 23.76) years (1-90) years | To study the frequency, etiology, and outcome of sepsis dermatology inpatients | Delhi |
| Siddaiahgari et al[ | Prospective study | 89 isolates |
| Disk-diffusion method | Not available | To study the likely etiologic agents and their antibiotic sensitivity pattern among systemic infections in children with cancer | Telangana, India |
| Chatterjee et al[ | Cohort study[ | 551 subjects | Kirby–Bauer disk-diffusion method, cefoxitin disk-diffusion method | 46.39 ± 16.08 in MRSA group and 44.77 ± 14.31 in MSSA group | To determine morbidity and mortality of MRSA and MSSA infections in a tertiary health-care facility | Manipal, South India | |
| Eshwara et al[ | Prospective observational cohort study | 70 cases of | Kirby–Bauer disk-diffusion method, cefoxitin disk diffusion | 44 (0-76) years | To analyze the epidemiology and laboratory characteristics of | Southern India | |
| Bouchiat et al[ | Prospective observational study | 92 | Disk-diffusion method, PCR | 43 years (range, 7 days-91 years) | To determine the antibiotic susceptibility pattern of | Bengaluru, India | |
| Choudhury et al[ | Retrospective study | 724 positive | Not available | Not available | To determine the prevalence and antimicrobial susceptibility pattern of MRSA | Assam, India | |
| Rampal et al[ | Survey study | 264 critical care specialists | Not available | Not available | To determine the burden of Gram-positive infections in critical care settings and to understand the practising behavior among the specialists in the management of MRSA infections | India | |
| Mehta et al[ | Surveillance study | 13 610 samples | MRSA, MSSA | Disk-diffusion method | Not available | To determine the incidence of MRSA in Indian hospitals and to compare the antimicrobial activity of currently available antibiotics | Delhi, Mumbai, and Bengaluru |
| Abimannan et al[ | A cross‑sectional study | 769 isolates | CA MRSA, CA MSSA | Kirby–Bauer disk diffusion method, disk approximation test, multiplex PCR; agr typing, spa typing, and multilocus sequence typing | Not available | To evaluate the molecular, epidemiologic, and virulence characteristics of | Tamil Nadu, India |
| Senthilkumar et al[ | Hospital-based study | 98 isolates | Exanthematous illness (fever with rash), history of minor trauma causing skin discontinuity, hospitalization, antibiotic usage, immunosuppressant usage, contact with potential | PCR, D test, | Not available | To identify the clinical variables that differentiate MRSA from MSSA infection | Pondicherry, India |
| Chamania et al[ | Retrospective review study | 102 patients | Extended duration of hospitalization, previous hospitalization, invasive procedures, comatose state, and advancing age | Not available | Not available | To analyze the incidence of multi drug-resistant organisms in burn patients and to co-relate sepsis-induced mortality with underlying MDR infection | Indore, India |
| Nagaraju et al[ | Prospective study (part of school camp) | 372 children | Kirby–Bauer disk diffusion method | 5 to 16 years | To evaluate different types of primary pyoderma in children caused by | Bengaluru, South India | |
| Singh et al[ | Prospective, cross‑sectional, and observational study | 300 school‑going children | Socioeconomic status, frequent medication with antibiotics, hospitalization, chronic disease, and previous infection with MRSA | Cefoxitin 30-μg disks and D‑zone test, Kirby–Bauer disk diffusion | 5 to 15 years | To determine the prevalence of nasal colonization of MRSA, the minimum inhibitory concentration of oxacillin and vancomycin, inducible clindamycin resistance, and antimicrobial resistance pattern of | Uttar Pradesh, India |
| Indian Network for Surveillance of Antimicrobial Resistance Group[ | Retrospective study | 26 310 isolates | Not available | Kirby–Bauer disk diffusion technique | Not available | To determine the prevalence of MRSA and susceptibility pattern of | 15 Indian tertiary care centers across North, South, and West India |
| Kumar et al[ | Hospital-based study | 133 culture-positive | Surgical wound infections, intake of antibiotics | Kirby–Bauer disc diffusion method | Not available | To determine the prevalence of MRSA in surgical wound infections and also to define the antimicrobial susceptibility patterns of the strains isolated | North-eastern part of India |
| Basavaraj et al[ | Hospital-based study | 137 isolates | Excessive antibiotic usage, prolonged hospitalization, intravascular catheterization and hospitalization in an intensive care unit | Oxacillin disk-diffusion method, Kirby–Bauer disk diffusion | Not available | To provide data for empiric selection of appropriate antibiotics for the treatment of diseases caused by | Karnataka, South India |
Abbreviations: CT, computed tomography; MRI, magnetic resonance imaging (MRI); PCR, polymerase chain reaction; MRSA, methicillin-resistant S. aureus; VRSA, vancomycin-resistant S. aureus; LRSA, linezolid-resistant S. aureus; MSSA, methicillin-susceptible S. aureus; ESR, erythrocyte sedimentation rate; CRP, C-reactive protein; WBC, white blood cell; ANC, absolute neutrophil count; CA, community associated; PFGE, pulsed-field gel electrophoresis; HIV, human immunodeficiency virus; RFLP, restriction fragment length polymorphism; spa, Staphylococcus aureus protein A; VRE, vancomycin-resistant enterococci; CA-SSTIs, community-acquired skin and soft tissue infections; BSI, Bloodstream infection; SSIs, Surgical-site infections; LFT, liver function tests; ELISA, enzyme-linked immunosorbent assay; DSD, disseminated staphylococcal disease; VAP, ventilator-associated pneumonia; UTI, urinary tract infection; CAP, community-acquired pneumonia; SSSI, skin and skin structure infections; CLABSI: central line-associated bloodstream infection; DFI, diabetic foot infections; TRSA, tigecycline-resistant S. aureus.
Proportion of MRSA infection in Indian patients.
| Study | Odds ratio/proportion of patients with MRSA | Lower CI | Upper CI | Weight |
|---|---|---|---|---|
| Bahubali[ | 0.027 | 0.018 | 0.041 | 3.01 |
| Kumar et al[ | 0.404 | 0.275 | 0.549 | 2.68 |
| Kini et al[ | 0.547 | 0.434 | 0.655 | 2.97 |
| Rajaduraipandi et al[ | 0.319 | 0.289 | 0.655 | 3.49 |
| Noguchi et al[ | 0.042 | 0.031 | 0.057 | 3.23 |
| Mendem et al[ | 0.45 | 0.384 | 0.518 | 3.32 |
| Sakthirajan et al[ | 0.124 | 0.07 | 0.21 | 2.57 |
| Kotpal et al[ | 0.118 | 0.045 | 0.275 | 1.73 |
| Mehndiratta et al[ | 1 | 0.94 | 1 | 0.42 |
| Gupta et al[ | 0.25 | 0.195 | 0.315 | 3.24 |
| Batra et al[ | 0.014 | 0.006 | 0.033 | 2.03 |
| Rajkumar et al[ | 0.373 | 0.36 | 0.386 | 3.55 |
| Mahapatra et al[ | 0.167 | 0.095 | 0.276 | 2.53 |
| Ravishankar et al[ | 0.239 | 0.138 | 0.382 | 2.47 |
| Thacker et al[ | 0.417 | 0.241 | 0.617 | 2.18 |
| Shah et al[ | 0.173 | 0.139 | 0.214 | 3.34 |
| Mandal et al[ | 0.098 | 0.072 | 0.133 | 3.19 |
| Mathews et al[ | 0.349 | 0.312 | 0.388 | 3.47 |
| Rosenthal et al[ | 0.54 | 0.51 | 0.571 | 3.51 |
| Asati et al[ | 0.259 | 0.218 | 0.305 | 3.39 |
| Siddaiahgari et al[ | 0.056 | 0.024 | 0.128 | 1.99 |
| Chatterjee et al[ | 0.52 | 0.478 | 0.562 | 3.47 |
| Eshwara et al[ | 0.543 | 0.426 | 0.655 | 2.93 |
| Bouchiat et al[ | 0.522 | 0.42 | 0.622 | 3.06 |
| Choudhury et al[ | 0.43 | 0.394 | 0.466 | 3.49 |
| Mehta et al[ | 0.318 | 0.285 | 0.352 | 3.48 |
| Abimannan et al[ | 0.48 | 0.445 | 0.515 | 3.49 |
| Senthilkumar et al[ | 0.469 | 0.373 | 0.568 | 3.09 |
| Chamania et al[ | 0.12 | 0.069 | 0.2 | 2.63 |
| Nagaraju et al[ | 0.061 | 0.041 | 0.089 | 3.06 |
| Singh et al[ | 0.077 | 0.051 | 0.113 | 3.03 |
| (INSAR) Group[ | 0.41 | 0.404 | 0.416 | 3.56 |
| Kumar et al[ | 0.609 | 0.524 | 0.688 | 3.19 |
| Basavaraj et al[ | 0.453 | 0.371 | 0.536 | 3.21 |
| Pooled proportion | 0.268 | 0.232 | 0.307 |
Abbreviations: MRSA, methicillin-resistant Staphylococcus aureus; CI, confidence interval.
Figure 2.Forest plot displaying meta-analysis of proportion of prevalence in MRSA. Binary random effects model was applied to get pooled proportion and 95% confidence interval (0.268; 95% CI 0.232-0.307; P < .001).
Prevalence of MRSA in males and females.
| Author and Year | Number of male Subjects with MRSA | Number of female Subjects with MRSA | Total number of subjects with MRSA | Proportion | Lower CI | Upper CI |
|---|---|---|---|---|---|---|
| Bahubali et al[ | 18 | – | 21 | 0.857 | 0.637 | 0.97 |
| Kini et al[ | 27 | – | 41 | 0.659 | 0.494 | 0.799 |
| Ravishankar et al[ | 4 | – | 11 | 0.364 | 0.109 | 0.692 |
| Rosenthal et al[ | 312 | – | 548 | 0.569 | 0.527 | 0.611 |
| Choudhury et al[ | 183 | – | 311 | 0.588 | 0.531 | 0.643 |
| Singh et al[ | 16 | – | 23 | 0.696 | 0.471 | 0.868 |
| Summary | 0.604 | 0.539 | 0.665 | |||
| Bahubali et al[ | – | 3 | 21 | 0.143 | 0.030 | 0.363 |
| Kini et al[ | – | 14 | 41 | 0.341 | 0.201 | 0.506 |
| Ravishankar et al[ | – | 7 | 11 | 0.636 | 0.063 | 0.891 |
| Rosenthal et al[ | – | 236 | 548 | 0.431 | 0.389 | 0.473 |
| Choudhury et al[ | – | 128 | 311 | 0.412 | 0.356 | 0.469 |
| Singh et al[ | – | 7 | 23 | 0.304 | 0.132 | 0.529 |
| Summary | 0.396 | 0.335 | 0.461 | |||
Prevalence of MRSA in adult and pediatric patients.
| Author | Number of pediatric subjects (0-18 years) with MRSA | Number of adult subjects (18 years and above) with MRSA | Total number of subjects with MRSA | Proportion | Lower CI | Upper CI |
|---|---|---|---|---|---|---|
| Kini et al[ | 41 | – | 41 | 0.988 | 0.836 | 0.999 |
| Sakthirajan et al[ | 0 | – | 47 | 0.010 | 0.001 | 0.146 |
| Mahapatra et al[ | 11 | – | 11 | 0.958 | 0.575 | 0.997 |
| Ravishankar et al[ | 0 | – | 11 | 0.042 | 0.003 | 0.425 |
| Mandal et al[ | 36 | – | 36 | 0.986 | 0.818 | 0.999 |
| Dube et al[ | 0 | – | 162 | 0.003 | 0.000 | 0.047 |
| Umashankar et al[ | 24 | – | 24 | 0.980 | 0.749 | 0.999 |
| Corey et al[ | 0 | – | 204 | 0.002 | 0.000 | 0.038 |
| Corey et al[ | 0 | – | 201 | 0.002 | 0.000 | 0.038 |
| Chatterjee et al[ | 0 | – | 284 | 0.002 | 0.000 | 0.027 |
| Eshwara et al[ | 8 | – | 38 | 0.211 | 0.109 | 0.368 |
| Nagaraju et al[ | 24 | – | 24 | 0.980 | 0.749 | 0.999 |
| Singh et al[ | 23 | – | 23 | 0.979 | 0.741 | 0.999 |
| Summary | 0.320 | 0.052 | 0.8 | |||
| Kini et al[ | – | 0 | 41 | 0.012 | 0.001 | 0.164 |
| Sakthirajan et al[ | – | 47 | 47 | 0.990 | 0.854 | 0.999 |
| Mahapatra et al[ | – | 0 | 11 | 0.042 | 0.003 | 0.425 |
| Ravishankar et al[ | – | 11 | 11 | 0.958 | 0.575 | 0.997 |
| Mandal et al[ | – | 0 | 36 | 0.014 | 0.001 | 0.182 |
| Dube et al[ | – | 162 | 162 | 0.997 | 0.953 | 1.000 |
| Umashankar et al[ | – | 0 | 24 | 0.020 | 0.001 | 0.251 |
| Corey et al[ | – | 204 | 204 | 0.998 | 0.962 | 1.000 |
| Corey et al[ | – | 201 | 201 | 0.998 | 0.962 | 1.000 |
| Chatterjee et al[ | – | 284 | 284 | 0.998 | 0.973 | 1.000 |
| Eshwara et al[ | – | 30 | 38 | 0.789 | 0.632 | 0.891 |
| Nagaraju et al[ | – | 0 | 24 | 0.020 | 0.001 | 0.251 |
| Singh et al[ | – | 0 | 23 | 0.021 | 0.001 | 0.259 |
| Summary | 0.680 | 0.200 | 0.948 | |||