Evidence map›Paper›PMID 38678188›Full record

ArticleBMC microbiology2024

Antimicrobial susceptibility patterns of urinary tract infections causing bacterial isolates and associated risk factors among HIV patients in Tigray, Northern Ethiopia.

Tsgabu Kahsay, Gebrecherkos Teame Gebrehiwot, Gebreselema Gebreyohannes, Mulugeta Tilahun, Ataklti Gessese, Amlisha Kahsay

Open access · goldAbstract read
In one paragraph

Article in BMC microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

6 authors at 1 institution in 1 country.

Tsgabu KahsayDepartment of Microbiology and Immunology, Dr. Tewelde Legesse College of Health Sciences, Mekelle, Tigray, Ethiopia.
Gebrecherkos Teame GebrehiwotDepartment of Biomedical Research and Technology Transfer, Tigray Health Research Institute, Mekelle, Tigray, Ethiopia. cherkos77kga@gmail.com.
Gebreselema GebreyohannesDepartment of Biomedical Research and Technology Transfer, Tigray Health Research Institute, Mekelle, Tigray, Ethiopia.
Mulugeta TilahunDepartment of Biomedical Research and Technology Transfer, Tigray Health Research Institute, Mekelle, Tigray, Ethiopia.
Ataklti GesseseDepartment of Biomedical Research and Technology Transfer, Tigray Health Research Institute, Mekelle, Tigray, Ethiopia.
Amlisha KahsayDepartment of Medical Microbiology and Immunology, College of Health Sciences, Mekelle University, Mekelle, Tigray, Ethiopia.
Mekelle University · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUrinary tract infections, a prevalent global infectious disease, are clinical issues not well studied in HIV-positive individuals. UTIs have become a global drug resistance issue, but the prevalence and antibiotic susceptibility patterns of UTI-causing bacteria among HIV patients in Tigray, Ethiopia, are poorly understood. This study aims to identify the prevalence of UTI-causing bacteria, their antibiotic susceptibility patterns, and associated risk factors in HIV patients attending ART clinics at Mekelle General Hospital and Ayder Comprehensive Specialized Hospital in Tigray, Northern Ethiopia.

methodClean-catch midstream urine samples (10-15 mL) were collected from HIV patients who are attending ART clinics at Mekelle General Hospital and Ayder Comprehensive Specialized Hospital. Samples were analyzed based on standard microbiological protocols using cysteine-lactose electrolyte deficient (CLED) agar. Pure colonies of bacterial isolates were obtained by sub-culturing into Mac-Conkey, Manitol Salt agar and blood agar plates. The bacterial isolates were then identified using macroscopic, microscopic, biochemical, and Gram staining methods. Gram-negative bacteria were identified using biochemical tests like triple sugar iron agar, Simon's citrate agar, lysine iron agar, urea, motility test, and indol test, whereas Gram-positive isolates were identified using catalase and coagulase tests. The Kirby-Bauer disk diffusion technique was used to analyze the antimicrobial susceptibility pattern of bacterial isolates. Data was analyzed using SPSS version 25.0.

resultsAmong the 224 patients, 28 (12.5%) of them had been infected by UTIs-causing bacteria. E. coli was the dominant bacterium (16 (57%)) followed by K. pneumoniae (4 (14%)), and S. aureus (3 (11%)). Of the total bacterial isolates, 22 (78.6%) of them developed multi-drug resistance. All Gram-positive (100%) and 75% of Gram-negative bacterial isolates were found to be resistant to two or more drugs. Patients with a history of UTIs, and with CD

conclusionsMost of the bacterial isolates were highly resistant to ampicillin, cotrimoxazole, and tetracycline. Female patients were more affected by the UTIs causing bacteria. The highest prevalence (12.5%) of UTIs in HIV patients needs special attention for better management and monitoring. Previous UTI history and immune suppression are predictors of UTIs, highlighting the need for intervention measures involving molecular studies to identify resistant bacteria genes and promote patient immune reconstitution.

Indexed as

Anti-Bacterial AgentsHIV InfectionsMicrobial Sensitivity TestsUrinary Tract InfectionsAdolescentAdultBacteriaCross-Sectional StudiesEthiopiaFemaleGram-Negative BacteriaHumansMaleMiddle AgedPrevalenceRisk FactorsAnti-Bacterial AgentsAntimicrobial susceptibility patternBacterial isolatesHIV patientsUTIs

Identifiers

PMID38678188
PMCPMC11055276
OpenAlexW4395695391

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.