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Assessment of UTI Diagnostic Techniques Using the Fuzzy–PROMETHEE Model

Authors :
Mariam Abobakr
Berna Uzun
Dilber Uzun Ozsahin
Tamer Sanlidag
Ayse Arikan
Source :
Diagnostics, Vol 13, Iss 22, p 3421 (2023)
Publication Year :
2023
Publisher :
MDPI AG, 2023.

Abstract

Accurate diagnosis of urinary tract infections (UTIs) is important as early diagnosis increases treatment rates, reduces the risk of infection and disease spread, and prevents deaths. This study aims to evaluate various parameters of existing and developing techniques for the diagnosis of UTIs, the majority of which are approved by the FDA, and rank them according to their performance levels. The study includes 16 UTI tests, and the fuzzy preference ranking organization method was used to analyze the parameters such as analytical efficiency, result time, specificity, sensitivity, positive predictive value, and negative predictive value. Our findings show that the biosensor test was the most indicative of expected test performance for UTIs, with a net flow of 0.0063. This was followed by real-time microscopy systems, catalase, and combined LE and nitrite, which were ranked second, third, and fourth with net flows of 0.003, 0.0026, and 0.0025, respectively. Sequence-based diagnostics was the least favourable alternative with a net flow of −0.0048. The F–PROMETHEE method can aid decision makers in making decisions on the most suitable UTI tests to support the outcomes of each country or patient based on specific conditions and priorities.

Details

Language :
English
ISSN :
20754418
Volume :
13
Issue :
22
Database :
Directory of Open Access Journals
Journal :
Diagnostics
Publication Type :
Academic Journal
Accession number :
edsdoj.0dcca028f571409680d5b923f88f7ecf
Document Type :
article
Full Text :
https://doi.org/10.3390/diagnostics13223421