Hospital-Based Surveillance and Resistance Index Analysis of Antimicrobial Resistance Trends: A Three-Year Study from a Tertiary Hospital in Iran (2021–2023)

Background: Antimicrobial resistance (AMR) poses an escalating global health crisis, yet institution-level temporal analyses that integrate both resistance trends and composite indices remain scarce. Methods: We performed a three-year retrospective analysis (2021– 2023) of all culture-positive bacterial isolates from a tertiary referral hospital in Iran. Antimicrobial susceptibility testing (AST) followed CLSI M02/M07/M100 standards. Annual resistance rates (%R) were calculated for six priority pathogens, and linear regression was used to model temporal changes (slopes, p-values). A composite Resistance Index (RI) was derived to capture cumulative resistance pressure. Results: Among 38,514 specimens, 3109 (8.1%) yielded bacterial growth. E. coli declined significantly (45.0%→ 29.7%, p=0.02), while A. baumannii increased (17.6%→ 26.8%, p=0.03). Regression analysis revealed pronounced upward resistance slopes in A. baumannii (eg, amikacin +8.6%/year, p< 0.001; ciprofloxacin +8.0%/year, p< 0.001) and K. pneumoniae to nalidixic acid (+17.6%/year, p< 0.001). In contrast, significant declines were observed in S. aureus (trimethoprim–sulfamethoxazole − 27.8%/year, p< 0.001), Enterobacter spp. (ampicillin − 42.5%/year, p< 0.001), and carbapenem resistance in K. pneumoniae and P. aeruginosa . The RI highlighted persistently extreme resistance in A. baumannii (> 90%) and high levels in P. aeruginosa (> 70%), with moderate but variable indices in E. coli and K. pneumoniae (50– 70%). Conclusion: This single-center study demonstrates shifting AMR epidemiology with A. baumannii emerging as the dominant multidrug-resistant threat, sustained high resistance in P. aeruginosa , and encouraging declines in certain resistance patterns among E. coli, K. pneumoniae , and S. aureus . By integrating slope-based trends with a composite RI, we provide a scalable framework to convert routine antibiogram data into actionable antimicrobial stewardship programs (ASPs) and infection prevention strategies. Keywords: antimicrobial resistance, temporal trends, resistance index, hospital stewardship, infection prevention and control

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Journal
Infection and Drug Resistance
Published
2026-05-01
DOI
https://doi.org/10.2147/idr.s593026
Primary Topic
Antibiotic Use and Resistance
Type
article
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article

Hospital-Based Surveillance and Resistance Index Analysis of Antimicrobial Resistance Trends: A Three-Year Study from a Tertiary Hospital in Iran (2021–2023)

Davood Soroosh, S S Mousavi, Elnaz Vafadar Moradi, Faeze Sadat Hoseini et al.
Infection and Drug Resistance
Antibiotic Use and Resistance
article

Hospital-Based Surveillance and Resistance Index Analysis of Antimicrobial Resistance Trends: A Three-Year Study from a Tertiary Hospital in Iran (2021–2023)

Davood Soroosh, S S Mousavi, Elnaz Vafadar Moradi, Faeze Sadat Hoseini, Seyed Reza Ahmadi Koupaei, Mohammad Sadegh Damavandi, Abbas Izadi
article en

Abstract

Background: Antimicrobial resistance (AMR) poses an escalating global health crisis, yet institution-level temporal analyses that integrate both resistance trends and composite indices remain scarce. Methods: We performed a three-year retrospective analysis (2021– 2023) of all culture-positive bacterial isolates from a tertiary referral hospital in Iran. Antimicrobial susceptibility testing (AST) followed CLSI M02/M07/M100 standards. Annual resistance rates (%R) were calculated for six priority pathogens, and linear regression was used to model temporal changes (slopes, p-values). A composite Resistance Index (RI) was derived to capture cumulative resistance pressure. Results: Among 38,514 specimens, 3109 (8.1%) yielded bacterial growth. E. coli declined significantly (45.0%→ 29.7%, p=0.02), while A. baumannii increased (17.6%→ 26.8%, p=0.03). Regression analysis revealed pronounced upward resistance slopes in A. baumannii (eg, amikacin +8.6%/year, p< 0.001; ciprofloxacin +8.0%/year, p< 0.001) and K. pneumoniae to nalidixic acid (+17.6%/year, p< 0.001). In contrast, significant declines were observed in S. aureus (trimethoprim–sulfamethoxazole − 27.8%/year, p< 0.001), Enterobacter spp. (ampicillin − 42.5%/year, p< 0.001), and carbapenem resistance in K. pneumoniae and P. aeruginosa . The RI highlighted persistently extreme resistance in A. baumannii (> 90%) and high levels in P. aeruginosa (> 70%), with moderate but variable indices in E. coli and K. pneumoniae (50– 70%). Conclusion: This single-center study demonstrates shifting AMR epidemiology with A. baumannii emerging as the dominant multidrug-resistant threat, sustained high resistance in P. aeruginosa , and encouraging declines in certain resistance patterns among E. coli, K. pneumoniae , and S. aureus . By integrating slope-based trends with a composite RI, we provide a scalable framework to convert routine antibiogram data into actionable antimicrobial stewardship programs (ASPs) and infection prevention strategies. Keywords: antimicrobial resistance, temporal trends, resistance index, hospital stewardship, infection prevention and control

Infection and Drug ResistanceVol. Volume 19
Mashhad University of Medical Sciences (IR), Hasheminejad Kidney Center (IR), Shahid Kamyab Hospital (IR)
Good health and well-being
Openalex Percentile: Top 7%
Antibiotic Use and Resistance
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