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 *

Medical Laboratory Unit, Health Services Department, Ignatius Ajuru University of Education, Port Harcourt, Nigeria.

Akani, Nedie Patience

Department of Microbiology, Rivers State University, Nkpolu – Oroworukwo P.M.B.-5080, Port Harcourt, Rivers State, Nigeria.

Williams, Janet Olufunmilayo

Department of Microbiology, Rivers State University, Nkpolu – Oroworukwo P.M.B.-5080, Port Harcourt, Rivers State, Nigeria.

Sampson, Tonye

Department of Microbiology, Rivers State University, Nkpolu – Oroworukwo P.M.B.-5080, Port Harcourt, Rivers State, Nigeria.

*Author to whom correspondence should be addressed.


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.

Keywords: Antimicrobial susceptibility, imipenem, ofloxacin, drug resistance, urinary tract infection


How to Cite

Asikiya Huldah , Hanson, Akani, Nedie Patience, Williams, Janet Olufunmilayo, and Sampson, Tonye. 2023. “Antibiogram and Multiple Antibiotics Resistance Indices of Bacterial Isolates from Urine of Diabetics and Nondiabetics Attending Some Hospitals in Rivers State, Nigeria”. Journal of Advances in Microbiology 23 (2):19-26. https://doi.org/10.9734/jamb/2023/v23i2706.

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