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Antibiotic resistance rates of bacterial isolates from urinary tract infections in diabetic patients in sana’a, yemen

Sami Mohammed Abdo Hassan, Khaled Abdulkarim Al-Moyed, Sami Sultan Ahmed Abdu, Ibrahim Ali Al-Arashi, Elham Hussein Ali Khalil, Eshtiaq A Al-Yosaffi, Hassan Abdulwahab Al-Shamahy, Amirh Abdullah Sa'aed Aljabri

Universal Journal of Pharmaceutical Research, 2026

454 participants

Abstract

Background and aims: Urinary tract infections (UTIs) are among the most common bacterial infections, particularly among diabetic patients. These infections are often complicated by antibiotic resistance and the patients' susceptibility to infection, making empirical treatment difficult. This study was conducted to identify the pattern of antibiotic resistance in UTI pathogens among diabetic patients in the medical ward of Kuwait Hospital in Sana'a, Yemen, with the aim of improving the empirical treatment of UTIs with antibiotics. Materials and Methods: Total 454 DM patients were sent to the medical ward of the Al-Kwait University Hospital clinics in Sana'a, Yemen, for this cross-sectional study. In order to perform a urine culture, a clean, sterile urine sample (midstream pee) was collected, cultured, and the pathogenic bacteria were isolated and identified. Results: The mean patient age was 48.2 years, with 73.1% being ≥ 40 years old. Escherichia coli caused 41 (42%) of UTIs, Klebsiella pneumoniae 33 (34%), Pseudomonas aeruginosa 9 (9.3%), and Enterococcus faecalis 6 (6.2%).Resistance rates in E. coli are high, reaching 95% for amoxicillin and 70.7% for ampicillin, with varying levels of resistance for other antibiotics, ranging from 36.6% to 92.7% for agents like ceftazidime and ciprofloxacin. Low resistance rates were noted for amikacin (4.9%) and other select antibiotics. Klebsiella pneumoniae displayed 100% resistance to amoxicillin and ampicillin, with lower resistance…

How strong is the evidence?

Evidence Hub reads this as a cross-sectional, done in people. Its evidence level is 4 of 5 (Low · observational). Observational designs can show an association but not prove cause. Reported size: 454 participants or records.

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