Accès ouvert déclaré 2023 preprint

Urine Biomarkers Individually and as a Consensus Model Show High Sensitivity and Specificity for Detecting UTIs

Marzieh Akhlaghpour, Emery Haley, Laura K. S. Parnell, Natalie Luke, Mohit Mathur, Richard A. Festa, Michael Percaccio, Jesus Magallón, Mariana Remedios-Chan, Alain Rosas, Jimin Wang, Yan Jiang, Lori Anderson, DAVID A. BAUNOCH

3Citations signalées, ce qui n’est pas une note de qualité

2Institutions déclarées

1Pays d’affiliation déclarés

Rattachement africain : us. Niveau de preuve : code pays fourni par la source.

Le résumé fourni par la source

We aimed to determine if infection-associated urine biomarkers can differentiate true urinary tract infection (UTI) from non-UTI controls. Midstream clean-catch urine samples were collected from asymptomatic volunteers and symptomatic subjects > 60 years old diagnosed with presumptive UTI in a specialty setting. Microbial identification and density were assessed using multiplex PCR/pooled antibiotic susceptibility test (M-PCR/P-AST) and standard urine culture (SUC). Three biomarkers (NGAL, IL-8, and IL-1β) were measured in the same urine specimens. Definitive UTI cases were symptomatic and had positive microorganism detection by SUC and M-PCR, while definitive non-UTI cases were asymptomatic volunteers regardless of microbial detection. We observed a strong positive correlation (R2 ≈ 1) between microbial density and the biomarkers NGAL, IL-8, and IL-1β. Biomarker consensus criteria of two or more positive biomarkers had sensitivity 90.2%, specificity 91.2%, positive predictive value (PPV) 91.7%, negative predictive value (NPV) 89.7%, accuracy 90.7%, positive likelihood ratio of 10.28, and negative likelihood ratio of 0.11 in differentiating definitive UTI from non-UTI cases, regardless of microbial density. NGAL, IL-8, and IL-1β showed a significant elevation in symptomatic cases with positive microbe identification compared to asymptomatic cases with or without microbe identification. Biomarker consensus exhibited high accuracy in distinguishing UTI from non-UTI cases.

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Le contrôle bibliographique ouvert

DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.

Titre Crossref: Urine Biomarkers Individually and as a Consensus Model Show High Sensitivity and Specificity for Detecting UTIs
Date Crossref: 03/07/2023
Éditeur: MDPI AG
Type: posted-content

Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.

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Pathnostics (United States) pays non établi dans la notice
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Statistical Research (United States) pays non établi dans la notice
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Department of Research and Development pays non établi dans la notice
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Department of Clinical Research pays non établi dans la notice
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Department of Scientific Writing pays non établi dans la notice
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Department of Medical Affairs pays non établi dans la notice
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Department of Statistical Analysis pays non établi dans la notice
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Department of Diagnostic Market Access pays non établi dans la notice
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Pathnostics (United States), Statistical Research (United States) et Department of Research and Development, avec 5 autres affiliations.

Une affiliation ne permet pas de déduire la nationalité d’un auteur.

Les sujets associés

Urinary Tract Infections ManagementBacterial Identification and Susceptibility TestingGut microbiota and health

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