Antimicrobial Resistance Trends in Urinary Tract Infections in 6 African Countries - Summary - MDSpire

Antimicrobial Resistance Trends in Urinary Tract Infections in 6 African Countries

  • By

  • Lala Fanomezantsoa Rafetrarivony

  • Félix Cheysson

  • Dissou Affolabi

  • Cheikh Fall

  • Faridath Massou

  • Kaotar Nayme

  • Minone Rosanne Ngome

  • Andriniaina Rakotondrasoa

  • Thomas Bovagnet

  • Aboubakr Khazaz

  • Hugues Sanke-Waïgana

  • Gilles Stéphane Landry Ngaya

  • Jean-Robert Mbecko

  • Anne-Lise Beaumont

  • Chiara Crestani

  • Yakhya Dieye

  • Babacar Ndiaye

  • Abdou Diop

  • Pierrette Landrie Simo Tchuinte

  • Ariane Nzouankeu

  • Arsène Godlove Djoko Nono

  • Dimitri Rasoloson

  • Frédérique Randrianirina

  • Elisoa Hariniaina Ratsima

  • Lovasoa Ramparany

  • Sébastien Breurec

  • Tania Crucitti

  • Sylvain Brisse

  • Bich-Tram Huynh

  • July 9, 2026

  • 0 min

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Objective:

To investigate temporal trends in antimicrobial resistance (AMR) of E. coli and K. pneumoniae isolates from urine samples over 10 years in clinical laboratories of six African countries.

Approach:
  • Study Design: Cross-sectional study analyzing E. coli and K. pneumoniae isolates from urine samples collected in medical laboratories across six African countries from 2008 to 2023.
  • Data Collection: Data were collected from various clinical laboratories, focusing on outpatient and some inpatient specimens, with ethical approval obtained from relevant committees.
  • Microbiological Methods: Bacterial identification was performed using analytical profile index strips and Vitek systems, with antimicrobial susceptibility testing primarily by disk diffusion.
  • Statistical Analysis: Logistic regressions were used to model resistance levels, adjusting for age, sex, seasonality, and COVID-19 effects.
Key Findings:
  • E. coli and K. pneumoniae are major contributors to urinary tract infections in Africa.
  • Resistance mechanisms such as extended-spectrum β-lactamases (ESBLs) and carbapenemases are prevalent.
  • Data on resistance patterns are often scarce or fragmented, complicating interpretation.
Interpretation:

Monitoring resistance trends is essential for understanding AMR evolution and informing health policy and treatment strategies.

Limitations:
  • Data collection periods varied by country, potentially introducing bias.
  • Resistance patterns may vary by infection site, complicating the identification of temporal trends.
Conclusion:

The study highlights the need for comprehensive monitoring of AMR trends to inform public health strategies in Africa.

Original Source(s)

Antimicrobial Resistance Trends in Urinary Tract Infections in 6 African Countries

  • by Lala Fanomezantsoa Rafetrarivony, Félix Cheysson, Dissou Affolabi, Cheikh Fall, Faridath Massou, Kaotar Nayme, Minone Rosanne Ngome, Andriniaina Rakotondrasoa, Thomas Bovagnet, Aboubakr Khazaz, Hugues Sanke-Waïgana, Gilles Stéphane Landry Ngaya, Jean-Robert Mbecko, Anne-Lise Beaumont, Chiara Crestani, Yakhya Dieye, Babacar Ndiaye, Abdou Diop, Pierrette Landrie Simo Tchuinte, Ariane Nzouankeu, Arsène Godlove Djoko Nono, Dimitri Rasoloson, Frédérique Randrianirina, Elisoa Hariniaina Ratsima, Lovasoa Ramparany, Sébastien Breurec, Tania Crucitti, Sylvain Brisse, Bich-Tram Huynh

  • July 9, 2026

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