Observational studyMicrobiology spectrum2026
Four-year antibiogram analysis of priority pathogens: guiding empirical therapy and monitoring resistance trends.
Observational study in Microbiology spectrum, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
4 authors.
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Abstract
Antibiograms are essential surveillance tools for monitoring institutional antimicrobial resistance (AMR) patterns and supporting antimicrobial stewardship programs (AMS). This study analyzed 4 years (2020-2023) of cumulative and subtraction antibiograms to describe local susceptibility trends among priority bacterial pathogens in a tertiary-care teaching hospital in western India. A retrospective observational study was conducted using the first-isolate-per-patient-per-year methodology in accordance with Clinical and Laboratory Standards Institute (CLSI) M39 guidelines. Antimicrobial susceptibility testing was performed using disk diffusion and automated minimum inhibitory concentration (MIC)-based systems, with colistin tested exclusively by broth microdilution. Cumulative and subtraction antibiograms were generated for IMPORTANCE: Antimicrobial resistance (AMR) is a growing global health threat that makes common infections harder to treat and increases the risk of severe illness and death. Hospitals must continuously monitor local resistance patterns to ensure antibiotics remain effective. This study analyzes 4 years of hospital laboratory data to track how bacteria responded to commonly used antibiotics over time. The findings reveal a sustained burden of resistance, particularly among gram-negative organisms, highlighting the need for ongoing surveillance and responsible antibiotic use. By systematically evaluating cumulative and subtraction antibiograms, this work demonstrates how routine laboratory data can support antimicrobial stewardship programs (AMS) and guide institutional policy. Importantly, the study emphasizes that antibiograms should inform stewardship strategies rather than dictate treatment decisions in isolation. Continuous monitoring and careful interpretation of resistance trends are essential to preserving the effectiveness of existing antibiotics and strengthening infection-control efforts.
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