PREVALENCE OF UROPATHOGENIC KLEBSIELLA SPECIES IN WOMEN ATTENDING GYNECOLOGICAL CLINIC AT FEDERAL MEDICAL CENTER MAKURDI, BENUE STATE, NIGERIA

The study aimed to determine the prevalence of Klebsiella species in women attending gynecological clinic at Federal Medical Center, Benue state. A total of 400 urine samples were collected from women attending gynecological clinic for analysis. Standard microbiological methods were employed for the isolation and identification of bacteria. Also, antibiotic susceptibility test was carried out using Kirby-Bauer disk diffusion method. Data generated were analyzed using SPSS and presented as descriptive statistics with statistical significance set at P<0.05. Out of the 400 urine samples, 14(11%) samples were positive to Klebsiella. The study proved that there is no significant different in the association of uropathogenic Klebsiella with ages (P=0.682) and employment status (P=0.611) of the women attending gynaecological clinic however, significant differences were reported in marital status (P=0.001) of the women. The risk of recent hospitalization (P=0.003), use of antibiotic (P=0.003) and direction of anal cleaning ((χ² = 36.006, df = 1, p < 0.001) has significant differences in association with uropathogenic infections. The study demonstrated gentamicin (100%) susceptibility on uropathogenic Klebsiella isolates.

Authors

Institutions

Publication Details

Journal
International Journal of Science and Research Archive
Published
2026-11-07
DOI
https://doi.org/10.30574/ijsra.2026.21.2.1974
Primary Topic
Urinary Tract Infections Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

PREVALENCE OF UROPATHOGENIC KLEBSIELLA SPECIES IN WOMEN ATTENDING GYNECOLOGICAL CLINIC AT FEDERAL MEDICAL CENTER MAKURDI, BENUE STATE, NIGERIA

Mnena Eunice Yaji, Torkwase Janet Aondofa, Moses Dzanzan Terna, Tracy Paulyn Aernan
4 links
International Journal of Science and Research Archive
Urinary Tract Infections Management
article

PREVALENCE OF UROPATHOGENIC KLEBSIELLA SPECIES IN WOMEN ATTENDING GYNECOLOGICAL CLINIC AT FEDERAL MEDICAL CENTER MAKURDI, BENUE STATE, NIGERIA

Mnena Eunice Yaji, Torkwase Janet Aondofa, Moses Dzanzan Terna, Tracy Paulyn Aernan
article en

Abstract

The study aimed to determine the prevalence of Klebsiella species in women attending gynecological clinic at Federal Medical Center, Benue state. A total of 400 urine samples were collected from women attending gynecological clinic for analysis. Standard microbiological methods were employed for the isolation and identification of bacteria. Also, antibiotic susceptibility test was carried out using Kirby-Bauer disk diffusion method. Data generated were analyzed using SPSS and presented as descriptive statistics with statistical significance set at P<0.05. Out of the 400 urine samples, 14(11%) samples were positive to Klebsiella. The study proved that there is no significant different in the association of uropathogenic Klebsiella with ages (P=0.682) and employment status (P=0.611) of the women attending gynaecological clinic however, significant differences were reported in marital status (P=0.001) of the women. The risk of recent hospitalization (P=0.003), use of antibiotic (P=0.003) and direction of anal cleaning ((χ² = 36.006, df = 1, p < 0.001) has significant differences in association with uropathogenic infections. The study demonstrated gentamicin (100%) susceptibility on uropathogenic Klebsiella isolates.

International Journal of Science and Research ArchiveVol. 21(2)
Joseph Sarwuan Tarka University Makurdi (NG)
Good health and well-being
Openalex Percentile: Top 11%
Urinary Tract Infections Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon