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