RETROSPECTIVE ANALYSIS OF ANTIMICROBIAL RESISTANCE PATTERNS AMONG BACTERIAL ISOLATES
DOI:
https://doi.org/10.69980/snba5013Keywords:
Antimicrobial resistence, microbiology, bacterial isolatesAbstract
Antimicrobial resistance has emerged as a critical global health challenge, significantly affecting the management of bacterial infections and limiting the effectiveness of commonly used antibiotics. This study aimed to analyze antimicrobial resistance patterns among bacterial isolates using a retrospective dataset-based approach. The study was conducted using secondary data comprising bacterial isolates and their corresponding antimicrobial susceptibility profiles. Data were cleaned, standardized, and analyzed using descriptive statistical methods, including frequency distribution and cross-tabulation, to evaluate resistance patterns across different bacterial species and antibiotics. The results revealed a predominance of gram-negative bacterial isolates, with organisms such as Escherichia coli, Proteus mirabilis, and Morganella morganii occurring more frequently. Considerable variability in antimicrobial resistance patterns was observed, with certain antibiotics demonstrating higher resistance rates, while others retained relatively lower resistance levels. Organism-specific analysis indicated distinct resistance profiles among different bacterial species, highlighting the importance of targeted evaluation. The findings also suggested that resistance patterns are not uniform and vary significantly depending on both the bacterial isolate and the antibiotic tested. The study underscores the importance of continuous monitoring and analysis of antimicrobial resistance patterns to support informed decision-making in clinical and microbiological practice. Despite limitations associated with the use of secondary data, the study provides valuable insights into resistance trends and contributes to the growing body of evidence addressing antimicrobial resistance. The results emphasize the need for rational antibiotic use and sustained efforts to monitor resistance patterns to improve the management of bacterial infections.
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