Back

Frequency of antimicrobial resistance among fecal bacteria pathogens in an informal settlement in Nairobi, Kenya, 2018 to 2020.

Wachekone, B. J.; Mikoleit, M.; Newton Wamola, N.; Osita, M.; Ochieng, C.; Kariuki, S.; Hunsperger, E.

2025-06-02 infectious diseases Community evaluation
10.1101/2025.06.01.25328746 medRxiv
Show abstract

BackgroundMultidrug-resistant bacterial enteric pathogens such as Salmonella and Shigella have the potential to cause significant mortality and represent a major issue facing the global health community. This is particularly concerning in low-and middle-income countries where access to clean water and antimicrobials is limited. We aimed to determine the frequency, antimicrobial resistance, and presence of resistance genes among Salmonella, Shigella, Vibrio, & Campylobacter recovered from patients presenting with diarrhea in an informal settlement in Nairobi, Kenya, from 2018 to 2020. MethodologyConventional bacteriologic methods were used for bacterial culture and isolation. BD Phoenix M50 technology was used for the identification and speciation of bacteria recovered from stool samples and for determining minimum inhibitory concentrations to both clinically relevant antimicrobials and agents of epidemiologic significance. PCR testing was subsequently performed to identify resistance genes. ResultsThe key pathogenic bacteria recovered were: Shigella flexneri (58.3%), Salmonella enterica serovar Typhi (8.3%), Shigella dysenteriae (6.7%), Shigella boydii (6.7%), and Shigella sonnei, (6.7%); no Campylobacter or Vibrio were isolated. Overall resistance among Shigella spp. and Salmonella spp. was determined to be highest to ampicillin (83%), followed by tetracycline (50%), cotrimoxazole (47%), chloramphenicol (17%), ceftriaxone (7%), gentamycin (5%), meropenem (2%), ciprofloxacin (0%) and amoxicillin-clavulanic acid (2.0%). Resistance genes detected included {beta}-lactamases (blaTEM and blaSHV), aminoglycoside 3-N acetyltransferase acc(3), sulfonamide resistance genes (sul1, sul2), and tetracycline resistance genes tet(A) and tet(B). ConclusionResults emphasize the critical need for active and continuous surveillance of pathogenic enteric bacteria to improve patient management and inform the development of empiric therapy guidelines.

Published in Microorganisms (predicted rank #26) · training set

Matching journals

The top 3 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.