Assessment of extended – spectrum beta lactamases (ESBL) gene among gram-negative bacilli bacteria causing community acquired urinary tract infection among females in southwestern Nigeria

Autor: Timothy A. Olusesan Oluwasola, Chinenye Gloria Anaedobe, Mustapha Akanji Ajani, Charles John Elikwu, Tinuade Adesola Ajani
Rok vydání: 2022
Zdroj: Medical Journal of Zambia. 48:360-367
ISSN: 0047-651X
Popis: Background: Urinary tract infections (UTI) is commoner in females and mainly caused by Gram Negative bacilli. The emergence of Extended – spectrum beta lactamases (ESBL) has made its treatment difficult especially in the community because of limited therapeutic options. This study was undertaken to determine the prevalence of ESBL-producing Gram negative bacilli causing UTI among females in Babcock University Community; evaluate the associated risk factors and to determine the prevalence of the associated genes among the ESBL isolates. Methods: A descriptive cross-sectional study of which 200 female participants with clinical UTI were recruited in Babcock University Community. Pretested interviewer–based structured questionnaire was used to obtain the socio-demographic and risk factors. Mid-stream urine was also collected for evaluation of ESBL- producing Gram-negative bacilli. DNA extraction was done for ESBL positive isolates and SHV, TEM, CTX-M and OXA ESBL genes were detected by PCR. SPSS Version 23.0 was used for data analysis. Results: The 200-urine samples tested from the participants yielded 33-Gram negative bacilli isolates. Out of these 33 isolates, 17/33(51.5%) were ESBL-producers giving prevalence rate of 8.5% among the participants. The distribution of the ESBL genes among the ESBL isolates was as follows: SHV 12/17(70.6%), TEM 4/17(23.5%), CTX-M 3/17(17.6%) and OXA 5/17(29.4%). No associated risk factors were found. Conclusion: All the four types of ESBL genes evaluated were present among the participants. Routine screening for ESBL for Community acquired UTI is necessary to curb treatment failure.
Databáze: OpenAIRE