Evidence Hub

Urinary Salmonella Enteritidis Carriage in a Patient Living with HIV

Tutan H, Gül Ö, Karaca H, Tanriverdi ES, Bulut ME, Aktaş E

Mikrobiyoloji bulteni, 2025

Abstract

Non-typhoidal Salmonella (NTS), a major public health problem worldwide, frequently causes gastrointestinal infections and can develop asymptomatic carriage. Isolation of NTS in urine and urinary carriage, are extremely rare and their frequency increases in the presence of predisposing factors. In today’s world where the rates of quinolone-resistant Salmonella spp. are rapidly increasing, the implementation of the correct treatment protocol, especially in patients in the risk group, is the most fundamental step to prevent the development of carriage. In this case report, an human immunodeficiency virus (HIV)- infected patient with urinary carriage of Salmonella Enteritidis was presented. A 59-year-old male patient applied to the outpatient clinic with dysuric complaints. He was being followed for HIV infection and was receiving appropriate antiretroviral therapy. He had coronary artery disease, hypertension, chronic renal failure and nephrolithiasis. Physical examination was normal without fever. Salmonella spp. grew in urine culture and S.Enteritidis was reported by serotyping. The susceptibility profile was determined as sensitive to ampicillin, ceftriaxone, cefotaxime and trimethoprim/sulfamethoxazole by disk diffusion and resistant to ciprofloxacin (MIC= 0.19 mg/L) by gradient test. Lower urinary tract infection (UTI) was considered and five-day cefixime treatment was started. The patient’s complaints did not improve after treatment and S.Enteritidis was grown again in…

How strong is the evidence?

Evidence Hub reads this as a case report, done in people. Its evidence level is 5 of 5 (Very low · case / narrative / animal / in vitro / in silico). Case reports, narrative reviews, and animal, cell or computer-model studies give the weakest evidence for human health.

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