Evidence Hub

Occurrence and antibiogram studies of pseudomonas aeruginosa from urinary tract infection

Nadia Saddique, Nosheen, N. Safdar, Wajiha Kanwal, Sobia Rizwan, Atique Ur Rehman, M. Fazil, Abdullahi Saddiq

First Workshop on Insights from Negative Results in NLP, 2026

Abstract

Background: Pseudomonas aeruginosa is an important opportunistic pathogen associated with complicated and healthcare-associated urinary tract infections. Its intrinsic resistance, capacity to acquire additional resistance mechanisms, and persistence in moist clinical environments can limit treatment options and increase the risk of therapeutic failure. Local surveillance is therefore essential because antimicrobial susceptibility patterns vary across institutions and geographical areas. Reliable regional data can support empirical treatment, antimicrobial stewardship, and timely selection of effective antipseudomonal therapy for affected patients.

Objective: The study determined the occurrence of P. aeruginosa in urine specimens from patients with suspected urinary tract infection and assessed the antimicrobial susceptibility profile of confirmed isolates.

Methods: A multicentre, laboratory-based cross-sectional study processed 565 clean-catch midstream urine specimens collected from four public and private laboratories in Punjab, Pakistan, between January and March 2020. Specimens were cultured on cetrimide agar, and suspected isolates were identified through colony morphology, Gram staining, motility, and biochemical testing. Antimicrobial susceptibility to 14 agents was assessed by the modified Kirby–Bauer disc diffusion method using CLSI 2019 interpretive criteria. Frequencies and percentages were calculated.

Results: Fifty-two specimens were positive for confirmed P.…

How strong is the evidence?

Evidence Hub reads this as a cross-sectional. Its evidence level is 4 of 5 (Low · observational). Observational designs can show an association but not prove cause.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free