Evaluation of the Diagnosis and Antibiotic Prescription Pattern in Patients Hospitalized with Urinary Tract Infections: Single-Center Study from a University-Affiliated Hospital

UTIs (urinary tract infections) are common bacterial infections with a non-negligible hospitalization rate. The diagnosis of UTIs remains a challenge for prescribers and a common source of misdiagnosis. This retrospective observational study aimed to evaluate whether recorded diagnosis by clinicians and empirical antibiotic therapy met the EAU (European Association of Urology) guideline in patients hospitalized with UTI. The study was conducted at an internal medicine unit of a tertiary care medical center in Hungary. The diagnosis was assessed based on clinical presentation, physical examination, and laboratory (including microbiological) results, considering all the potential risk factors. Diagnosis was considered misdiagnosis when not confirmed by clinical presentation or clinical signs and symptoms. Evaluation of empirical antibiotic therapy was performed only for confirmed UTIs. Empirical treatment was considered guideline-adherent when complying with the relevant recommendations. Out of 185 patients, 41.6% failed to meet EAU-based UTI diagnosis criteria, of which 27.6% were misdiagnosed and 14.1% were ABU (asymptomatic bacteriuria). The diagnosis of urosepsis recorded at admission (9.7%, 18/185) was not confirmed either by clinical or microbiological tests in five (5/18) cases. The initial empirical therapies for UTI showed a relatively low rate (45.4%) of guideline adherence regarding agent selection. The most common guideline-non-adherent therapies were combinations with metronidazole (16.7%). Dosage appropriateness assessments showed a guideline adherence rate of 36.1%, and underdosing due to high body weight was common (9.3%). Overall (agent, route of administration, dose, duration) guideline adherence was found to be substantially low (10.2%). We found a relatively high rate of misdiagnosed UTIs. Written protocols on the ward may be crucial in reducing misdiagnosis and in optimizing antibiotic use.