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Prevalence of urinary tract infections and risk factors among diabetic patients in Ethiopia, a systematic review and meta-analysis

INTRODUCTION: Urinary tract infection (UTI) is a common clinical problem that comprises 1–6% of medical referrals and includes urinary tract, bladder, and kidney infections. UTI is the most commonly occurring infectious disease in diabetic patients. Therefore, this systematic review and meta-analysi...

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Autores principales: Tegegne, Kirubel Dagnaw, Wagaw, Gebeyaw Biset, Gebeyehu, Natnael Atnafu, Yirdaw, Lehulu Tilahun, Shewangashaw, Nathan Estifanos, Kassaw, Mesfin Wudu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9844928/
https://www.ncbi.nlm.nih.gov/pubmed/36649227
http://dx.doi.org/10.1371/journal.pone.0278028
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author Tegegne, Kirubel Dagnaw
Wagaw, Gebeyaw Biset
Gebeyehu, Natnael Atnafu
Yirdaw, Lehulu Tilahun
Shewangashaw, Nathan Estifanos
Kassaw, Mesfin Wudu
author_facet Tegegne, Kirubel Dagnaw
Wagaw, Gebeyaw Biset
Gebeyehu, Natnael Atnafu
Yirdaw, Lehulu Tilahun
Shewangashaw, Nathan Estifanos
Kassaw, Mesfin Wudu
author_sort Tegegne, Kirubel Dagnaw
collection PubMed
description INTRODUCTION: Urinary tract infection (UTI) is a common clinical problem that comprises 1–6% of medical referrals and includes urinary tract, bladder, and kidney infections. UTI is the most commonly occurring infectious disease in diabetic patients. Therefore, this systematic review and meta-analysis aimed to estimate the prevalence of urinary tract infection and its associated factors in Ethiopia. METHODS: The online libraries of PubMed, Google Scholar, Scopus, and Science Direct, were searched. Data were extracted using Microsoft Excel and analyzed using STATA statistical software (v. 16). Forest plots, Begg’s rank test, and Egger’s regression test were all used to check for publication bias. To look for heterogeneity, I(2) was computed, and an overall estimated analysis was carried out. Subgroup analysis was done by region, and publication year. Meta-regression analysis using study-level covariates as predictors of study-level estimates to explore the determinants of potential heterogeneity in our pooled estimates. The pooled odds ratio for related covariates was also calculated. RESULTS: Out of 1128 studies assessed, 14 met our criteria and were included in the study. A total of 3773 people were included in the study. The prevalence of urinary tract infection was estimated to be 15.97% (95% CI: 12.72–19.23). According to subgroup analysis, the highest prevalence was observed in the SNNP region (19.21%) and studies conducted in and after 2018 (17.98%). Being female (AOR = 3.77; 95% CI: 1.88, 5.65), being illiterate (AOR = 5.29; 95% CI: 1.98, 8.61), prior urinary tract infection history (AOR = 3.04; 95% CI: 2.16–3.92) were the predictor of urinary tract infection. CONCLUSION: The prevalence of urinary tract infections was high in Ethiopia. Female gender, illiteracy, and prior UTI history were associated with urinary tract infections. Since UTIs in diabetic patients has serious medical and public health consequence, screening of UTIs in diabetic patients and early initiation of treatment should become a public health priority.
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spelling pubmed-98449282023-01-18 Prevalence of urinary tract infections and risk factors among diabetic patients in Ethiopia, a systematic review and meta-analysis Tegegne, Kirubel Dagnaw Wagaw, Gebeyaw Biset Gebeyehu, Natnael Atnafu Yirdaw, Lehulu Tilahun Shewangashaw, Nathan Estifanos Kassaw, Mesfin Wudu PLoS One Research Article INTRODUCTION: Urinary tract infection (UTI) is a common clinical problem that comprises 1–6% of medical referrals and includes urinary tract, bladder, and kidney infections. UTI is the most commonly occurring infectious disease in diabetic patients. Therefore, this systematic review and meta-analysis aimed to estimate the prevalence of urinary tract infection and its associated factors in Ethiopia. METHODS: The online libraries of PubMed, Google Scholar, Scopus, and Science Direct, were searched. Data were extracted using Microsoft Excel and analyzed using STATA statistical software (v. 16). Forest plots, Begg’s rank test, and Egger’s regression test were all used to check for publication bias. To look for heterogeneity, I(2) was computed, and an overall estimated analysis was carried out. Subgroup analysis was done by region, and publication year. Meta-regression analysis using study-level covariates as predictors of study-level estimates to explore the determinants of potential heterogeneity in our pooled estimates. The pooled odds ratio for related covariates was also calculated. RESULTS: Out of 1128 studies assessed, 14 met our criteria and were included in the study. A total of 3773 people were included in the study. The prevalence of urinary tract infection was estimated to be 15.97% (95% CI: 12.72–19.23). According to subgroup analysis, the highest prevalence was observed in the SNNP region (19.21%) and studies conducted in and after 2018 (17.98%). Being female (AOR = 3.77; 95% CI: 1.88, 5.65), being illiterate (AOR = 5.29; 95% CI: 1.98, 8.61), prior urinary tract infection history (AOR = 3.04; 95% CI: 2.16–3.92) were the predictor of urinary tract infection. CONCLUSION: The prevalence of urinary tract infections was high in Ethiopia. Female gender, illiteracy, and prior UTI history were associated with urinary tract infections. Since UTIs in diabetic patients has serious medical and public health consequence, screening of UTIs in diabetic patients and early initiation of treatment should become a public health priority. Public Library of Science 2023-01-17 /pmc/articles/PMC9844928/ /pubmed/36649227 http://dx.doi.org/10.1371/journal.pone.0278028 Text en © 2023 Tegegne et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Tegegne, Kirubel Dagnaw
Wagaw, Gebeyaw Biset
Gebeyehu, Natnael Atnafu
Yirdaw, Lehulu Tilahun
Shewangashaw, Nathan Estifanos
Kassaw, Mesfin Wudu
Prevalence of urinary tract infections and risk factors among diabetic patients in Ethiopia, a systematic review and meta-analysis
title Prevalence of urinary tract infections and risk factors among diabetic patients in Ethiopia, a systematic review and meta-analysis
title_full Prevalence of urinary tract infections and risk factors among diabetic patients in Ethiopia, a systematic review and meta-analysis
title_fullStr Prevalence of urinary tract infections and risk factors among diabetic patients in Ethiopia, a systematic review and meta-analysis
title_full_unstemmed Prevalence of urinary tract infections and risk factors among diabetic patients in Ethiopia, a systematic review and meta-analysis
title_short Prevalence of urinary tract infections and risk factors among diabetic patients in Ethiopia, a systematic review and meta-analysis
title_sort prevalence of urinary tract infections and risk factors among diabetic patients in ethiopia, a systematic review and meta-analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9844928/
https://www.ncbi.nlm.nih.gov/pubmed/36649227
http://dx.doi.org/10.1371/journal.pone.0278028
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