Evidence map›Paper›PMID 37127777›Full record

ArticleScientific reports2023

Uropathogenic bacterial profile and antibiotic susceptibility pattern of isolates among gynecological cases admitted to Jimma Medical Center, South West Ethiopia.

Sisay Teferi, Zewdineh Sahlemariam, Mekidim Mekonnen, Rahel Tamrat, Teshome Bekana, Yonas Adisu, Tefera Darge

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
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  3. Article
  4. Article
  5. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 1 country.

Sisay TeferiDepartment of Medical Laboratory Science, College of Health Sciences, Mettu University, Metu, Ethiopia. sisay60teferi@gmail.com.
Zewdineh SahlemariamSchool of Medical Laboratory Science, College of Medical Sciences, Institute of Health, Jimma University, Jimma, Ethiopia.
Mekidim MekonnenSchool of Medical Laboratory Science, College of Medical Sciences, Institute of Health, Jimma University, Jimma, Ethiopia.
Rahel TamratSchool of Medical Laboratory Science, College of Medical Sciences, Institute of Health, Jimma University, Jimma, Ethiopia.
Teshome BekanaDepartment of Medical Laboratory Science, College of Health Sciences, Mettu University, Metu, Ethiopia.
Yonas AdisuDepartment of Medical Laboratory, College of Medical Science, Wollega University, Nekemte, Ethiopia.
Tefera DargeDepartment of Biomedical Science, College of Health Sciences, Mettu University, Metu, Ethiopia.
Jimma University · ETMattu UniversityEthiopian Civil Service University · ETWollega University · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Urinary tract infection (UTI) is one of the most common bacterial infections in women; about 50% of women get during their life time. Moreover, it is a common health problem in patients with gynecological pathologies, which increases the chance of acquiring infection. The aim of this study was to determine the bacterial profile that causes UTI and their antibiotic susceptibility pattern among admitted gynecological cases. A cross-sectional study was conducted in south west Ethiopia region. A total of 386 patients admitted with gynecological cases were recruited by sequential sampling technique and structured questionnaire was used to collect socio-demographic and risk factor-related data. About 10 ml freshly voided midstream and catheterized urine specimens were collected using sterile containers. Identification of isolate was done using culture characteristics, gram staining, and a series of biochemical tests. The antibiotic susceptibility test was performed as per the Kirby-Bauer disc diffusion technique. The data obtained were entered into EpiData Version 3.1 and analyzed using SPSS Version 25. A P value of less than 0.05 was used as a level of significance. In this study, the overall prevalence of UTI was 25.4%. Escherichia coli was the most frequently isolated bacteria, which accounted for 38 (37.6%), followed by Klebsiella species 22 (21.8%), CONS 14 (13.9%), Staphylococcus aureus 10 (9.9%), Enterobacter species 6 (5.9%), Citrobacter species 5 (4.9%), Proteus mirabilis 4 (4%), and Pseudomonas aeroginosa 2(2%). Histories of UTI (AOR = 1.977, 95% CI 1.06, 3.68, P = 0.032) and catheterization (AOR = 2.38, 95% CI 1.28, 4.45, P = 0.006) were found to be statistically associated with significant bacteriuria. Gram-negative isolates showed a high level of resistance, 88.3% for ampicillin and 66.2% for tetracycline, and a relatively low level of resistance against ceftazidime, 22.1%, and meropenem, 3.9%. Gram-positive uropathogens showed a high level of resistance to penicillin, 91.6%, whereas all isolates were sensitive 100.0% to nitrofurantoin. Furthermore, 80 (79.2%) of the isolates had multidrug resistance, and 16 (26.7%) of both E. coli and Klebsiella spp. produced Extended spectrum β-lactamase (ESBL). In this study, a high prevalence of uropathogenic bacteria and multidrug resistance for commonly prescribed drugs were observed with a significant number of ESBL producers. Therefore, screening admitted gynecological patients, especially for those who have history of catheterization and UTI, by urine culture and antimicrobial susceptibility testing is important.

Indexed as

Staphylococcal InfectionsUrinary Tract InfectionsAnti-Bacterial AgentsCross-Sectional StudiesEscherichia coliEthiopiaFemaleHumansMicrobial Sensitivity TestsAnti-Bacterial Agents

Identifiers

PMID37127777
PMCPMC10151331
OpenAlexW4367624126

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.