Medical University of Varna
Evaluation of HB&L Automated System for Rapid Diagnosis of Urinary Tract Infections // Оценка на автоматизираната система HB&L за бърза диагностика на инфекции на уринарния тракт
Abstract
dc:descriptionThe thesis presents a prospective study of the etiological spectrum and antimicrobial resistance of the most common uropathogens in 842 outpatients in Varna over a 7-month period (October 2020 - April 2021). An automated HB&L laser nephelometry system, Alifax, was used for rapid 4-hour screening of 1600 urine samples. For the first time in Bulgaria, a parallel study of residual antibiotic activity was performed to improve the clinical interpretation of the test. Patients were recruited based on clinical symptomatology, chemical examination of urine and sediment, and a completed medical questionnaire. Antibiotic susceptibility was determined by 3 methods: standard culture method according to Bauer-Kirby, automated HB&L system and automated VITEK 2 system. An analysis of the errors obtained by the automated system was performed in a short time (3-5 hours) against the culture 24-hour reference method. Additionally, the susceptibility to three antibiotic agents used in outpatient practice was studied: fosfomycin, nitrofurantoin, and 5-nitroxoline. A high concordance of results was demonstrated. The system showed high specificity, sensitivity, and positive and negative predictive values. Based on the results, a working algorithm for the accurate and rapid diagnosis of urinary tract infections on the day of puncture was developed. Recommendations for empirical therapy in patients after a study of local resistance in the Varna region were made.
Degree
thesis:*- Grantor dc:publisher
- Medical University of Varna
- Year dc:date
- 2025
Author and committee
dc:creator, dc:contributor.*- Authors dc:creator
-
- Snegarova-Toneva, Viktoriya
- Снегарова-Тонева, Виктория
Subjects
dc:subject × 5Identifiers
dc:identifier.*- Repository record dc:identifier
- http://repository.mu-varna.bg/handle/nls/4026
- OAI identifier oai:identifier
- oai:repository.mu-varna.bg:nls/4026