ArticleBMC microbiology2026
Prevalence of multidrug-resistant uropathogens isolated from patients with urinary tract infections in a tertiary hospital in Ghana.
Article in BMC microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMultidrug resistance (MDR) is of a major public health concern globally, with far-reaching consequences on affected populations. Urinary Tract Infections (UTI) remain one of the major infections for which antibiotics are prescribed in Ghana, and its overuse over time has raised concerns over the development of drug resistance in UTI patients. Understanding the antimicrobial resistance patterns of uropathogens is essential for informing appropriate UTI treatment and management strategies. We therefore investigated the antibiotic resistance patterns of uropathogens implicated in suspected cases of UTI in a tertiary hospital in Ghana between 2020 and 2021.
methodsA prospective cross-sectional study was conducted at the Komfo Anokye Teaching Hospital in Ghana where 357 patients with suspected UTI had their urine samples cultured for bacteria. Sociodemographic data of participants were also collected. Isolates from positive UTI cultures were subjected to antimicrobial susceptibility testing (AST) according to CLSI guidelines (2020) using the Kirby-Bauer disk diffusion method. Data obtained was analysed using Microsoft Excel, STATA and GraphPad Prism.
resultsWe found the prevalence of uncomplicated UTI to be 26.6% (n/N = 95/357); with the identified uropathogens belonging to 10 different bacterial genera. Infections were found to be more frequent in females (67.4%, n/N = 64/95) than males. The study also found Escherichia coli (21.1%, n/N = 20/95) and Enterococcus spp. (20.0%, n/N = 19/95) as the most common organisms isolated. Antimicrobial resistance was observed in all 10 species isolated, with drug resistance highest against ampicillin (85.3%) and lowest against imipenem (19.0%) antibiotics. Multidrug resistance (MDR) was detected in 83.2% of bacteria. The study showed bacteria from 96.4% of UTI cases in males were multidrug resistant (p = 0.014) with similar higher proportions in individuals of middle-to-old age.
conclusionThis study reveals high resistance of uropathogens against many commonly-used antibiotics for treating UTI in Ghana; with more than 80% being multi-drug resistant in this population. These findings are helpful in signalling the need for revised antibiotic prescription in the treatment and management of UTI. With the clinical pipeline running dry, this evidence-based study also calls for improved antimicrobial stewardship and infection prevention and control efforts in hospitals to mitigate the spread of MDR-bacteria.
Indexed as
Identifiers
What Socratic holds
Registered trials
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 Socratic graph.