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Antimicrobial Resistance Trends in Urinary Tract Infections in 6 African Countries

Rafetrarivony LF, Cheysson F, Affolabi D, Fall C, Massou F, Nayme K, Ngome MR, Rakotondrasoa A et al.

JAMA network open, 2026

1,893 participants · 1 citation

Abstract

Importance: Escherichia coli and Klebsiella pneumoniae are major causes of urinary tract infections. While antibiotic resistance in these critical pathogens is a global concern, data from Africa remain sparse, cover short time frames, and aggregate multiple specimen types.

Objective: To model antimicrobial resistance trends in urinary E coli and K pneumoniae isolates from 6 African countries between 2010 and 2022 and to project future resistance patterns.

Design, setting, and participants: Data for this retrospective cross-sectional study were obtained from Pasteur Network clinical laboratories located in the capital cities of 5 African countries (Cameroon, Central African Republic [CAR], Madagascar, Morocco, and Senegal) and from 1 university hospital in Benin. Urine samples yielding E coli or K pneumoniae collected during routine clinical care were included. Data collection spanned 2008 to 2023, with a shared observation period from October 2014 to December 2021. Data were analyzed from March through December 2025.

Main outcomes and measures: The primary outcome was resistance in E coli and K pneumoniae urinary isolates, measured as nonsusceptibility to aminopenicillins (for E coli), fluoroquinolones, third- and fourth-generation cephalosporins, β-lactam and β-lactamase inhibitor combinations, aminoglycosides, and carbapenems. Resistance trends were analyzed using logistic regression with generalized estimating equations.

Results: A total of 44 367 urinary isolates (mean…

How strong is the evidence?

Evidence Hub reads this as a cross-sectional, done in people. Its evidence level is 4 of 5 (Low · observational). Observational designs can show an association but not prove cause. Reported size: 1,893 participants or records.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

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