Detection of multidrug resistant organisms of concern includingS. maltophiliaandB. cepaciaat a referral hospital in Kenya

Author:

Kimani RachealORCID,Maina Patrick,Kamita MosesORCID,Mbogo David,Mutai Winnie,Ayodo CharchilORCID,Suliman Essuman,Kanoi Bernard N.ORCID,Gitaka JesseORCID

Abstract

AbstractIt is important to monitor of antibiotic susceptibility patterns of bacteria in clinical settings periodically to ascertain the current trends as well as re-establish empirical therapy. This study aimed to determine bacterial contaminants and their antimicrobial susceptibility patterns from medical equipment, inanimate surfaces and clinical samples isolated from Thika Level V Hospital (TLVH). Three hundred and five samples were collected and comprised of urine, pus swabs, catheter swabs, stool and environmental samples. Bacterial identification and antimicrobial susceptibility testing were done on VITEK 2 and disc diffusion respectively.Coagulase negativeStaphylococci(28 /160, 17.5%) were the most isolated species from patients followed byE. coli(22 /160 13.8%) andS. aureus(22/160, 13.8%). The bed rail was the most contaminated surface withS. aureusat (6/42)14.2%. The clinical sample that yielded the highest number of pathogens was pus (92/160). Trauma patients had the largest proportion of isolates (67/160, 41.8%). Bacteria recovered from this study demonstrated high levels of resistance especially enteric bacteria. Extended Spectrum Beta Lactamase phenotype was noted in 29/44 (65.9%) enteric isolates. Although ESBL genetic confirmatory studies are needed, this study shows that there is an urgent need for actions that mitigate the spread of antibiotics resistant bacteria.

Publisher

Cold Spring Harbor Laboratory

Reference48 articles.

1. Comprehensive study of antimicrobial susceptibility pattern and extended spectrum beta-lactamase (ESBL) prevalence in bacteria isolated from urine samples;Scientific Reports | [Internet],2021

2. New report calls for urgent action to avert antimicrobial resistance crisis [Internet]. [cited 2023 Apr 11]. Available from: https://www.who.int/news/item/29-04-2019-new-report-calls-for-urgent-action-to-avert-antimicrobial-resistance-crisis

3. O’Neill J. Tackling Drug-Resistant Infections Globally: Final Report and Recommendations. London, UK: Review on Antimicrobial Resistance; 2016.

4. Mutua JM , Njeru JM , Musyoki AM . Multidrug resistant bacterial infections in severely ill COVID-19 patients admitted in a national referral and teaching hospital, Kenya. BMC Infect Dis [Internet]. 2022 Dec 1 [cited 2023 Feb 17];22(1). Available from: https://pubmed.ncbi.nlm.nih.gov/36418990/

5. Surveillance for respiratory health care–associated infections among inpatients in 3 Kenyan hospitals, 2010-2012;Am J Infect Control,2014

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