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Antibiogram and Multiple Antibiotics Resistance Indices of Bacterial Isolates from Urine of Diabetics and Nondiabetics Attending Some Hospitals in Rivers State, Nigeria

HANSON, ASIKIYA HULDAH, Akani, Nedie Patience, Williams, Janet Olufunmilayo, Sampson, Tonye

Journal of Advances in Microbiology · pp. 19–26 · Published 18 Feb 2023

10.9734/jamb/2023/v23i2706

Abstract

There is an increase in the number of cases of antimicrobial resistance with a paucity of data from developing nations. This study is aimed at determining the antibiograms of uropathogens isolated from diabetics and non-diabetic subjects in three hospitals in Rivers State Port Harcourt, Nigeria. The Kirby-Bauer disc diffusion procedure was used to determine the antimicrobial susceptibility pattern of the uropathogens with the following antibiotics: vancomycin, cefotaxime, cefuroxime, imipenem, cefoxitin, ceftazidime, erythromycin, ciprofloxacin, tetracycline, amoxiclav and ofloxacin. The results show that S. aureus (20%), E. coli (9%), K. aerogenes (8%), and K. ascobata (7%) were the most prevalent bacterial isolates. Data showed the isolates were sensitive to imipenem (18.6%), ofloxacin (13.8%) and ceftazidime (12.3%). On the other hand, the antibiotics with the highest resistance were cefotaxime (9.5%), tetracycline (14.1%), erythromycin (18.4%), and vancomycin (21.1%). The diabetic subjects showed a significantly (P < 0.0001) lower prevalence of bacteria with MAR indices below 0.2 but a significantly (P = <0.0001) higher prevalence of bacteria showing MAR indices ≥0.2. In the analyses of MAR indices ≥0.2 bacterial isolates according to location. Abonnema had the highest percentage distribution, with higher number of diabetics (81%) to non-diabetics (19%), with P <0.0001. This was followed by Mgbundukwu, which had a higher number of diabetics (77%) to non-diabetics (23), with P < 0.0001, and then Eleme, with a higher number of diabetics (80%) to non-diabetics (20%), with P = <0.0001. This indicates a high level of antibiotic abuse hence resistance to antibiotics among diabetic patients.

Antimicrobial susceptibility imipenem ofloxacin drug resistance urinary tract infection

Cited by 2

Geospatial mapping and cluster analysis of antibiotic-resistant Escherichia coli in drinking water of semi-arid areas

Srishti Srivastava, Akshay Kumar, Rajiv Gupta · Environmental Monitoring and Assessment · 2025

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