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Background
Antibiotic resistance is a critical global health challenge, significantly affecting morbidity, mortality, and healthcare costs. Tamil Nadu, a healthcare hub in India, faces increasing antibiotic resistance due to overuse and misuse in clinical and community settings. This systematic review and meta-analysis aim to synthesize existing evidence on antibiotic resistance patterns and provide insights into the effectiveness of antibiotic stewardship programs in Tamil Nadu.
Objective
To evaluate antibiotic resistance trends in Tamil Nadu by pooling data from observational studies and identifying factors contributing to resistance across healthcare settings.
Method
A systematic search was conducted using PubMed, Scopus, and local medical journals for studies published between 2010 and 2023. Inclusion criteria included observational studies, randomized controlled trials, and surveillance reports documenting antibiotic resistance rates. Data on pathogens, resistance patterns, and antibiotic usage were extracted. The pooled prevalence of resistance rates was calculated using a random-effects model. Subgroup analyses were performed to identify high-risk pathogens and commonly resisted antibiotics..
Result
A total of 34 studies were included, encompassing 12,000 bacterial isolates across Tamil Nadu. The pooled resistance rate for Escherichia coli against ceftriaxone was 38% (95% CI: 34–42), while resistance to ciprofloxacin was 45% (95% CI: 40–50). For Klebsiella pneumoniae, resistance to amoxicillin-clavulanate was 52% (95% CI: 48–56). The meta-analysis revealed increasing resistance trends for fluoroquinolones and beta-lactams over the past decade. Factors contributing to resistance included prolonged hospital stays, inappropriate prescriptions, and lack of stewardship programs.
"Systematic Review and Meta-Analysis of Antibiotic Resistance Trends in Tamil Nadu: Insights from Regional Healthcare Settings", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 4, page no.c488-c496, April-2025, Available :http://www.ijrti.org/papers/IJRTI2504282.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator