Evidence map›Paper›PMID 38297221›Full record

ArticleBMC infectious diseases2024

Urine biomarkers individually and as a consensus model show high sensitivity and specificity for detecting UTIs.

Marzieh Akhlaghpour, Emery Haley, Laura Parnell, Natalie Luke, Mohit Mathur, Richard A Festa, Michael Percaccio, Jesus Magallon, Mariana Remedios-Chan, Alain Rosas and 4 more

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
8.9field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 2 syntheses or guidelines pooled it, 23 citations in OpenAlex.

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  8. Microbiologist in the Clinic: Antibiotic Dependent in her 30 s.International urogynecology journal · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 1 institution in 1 country.

Marzieh AkhlaghpourDepartment of Research and Development, Pathnostics, 15545 Sand Canyon Suite 100, Irvine, CA, 92618, USA.
Emery HaleyDepartment of Clinical Research, Pathnostics, 15545 Sand Canyon Suite 100, Irvine, CA, 92618, USA.
Laura ParnellDepartment of Scientific Writing, Precision Consulting, 6522 Harbor Mist, Missouri City, TX, 77459, USA.
Natalie LukeDepartment of Clinical Research, Pathnostics, 15545 Sand Canyon Suite 100, Irvine, CA, 92618, USA.
Mohit MathurDepartment of Medical Affairs, Pathnostics, 15545 Sand Canyon Suite 100, Irvine, CA, 92618, USA.
Richard A FestaDepartment of Research and Development, Pathnostics, 15545 Sand Canyon Suite 100, Irvine, CA, 92618, USA.
Michael PercaccioDepartment of Research and Development, Pathnostics, 15545 Sand Canyon Suite 100, Irvine, CA, 92618, USA.
Jesus MagallonDepartment of Research and Development, Pathnostics, 15545 Sand Canyon Suite 100, Irvine, CA, 92618, USA.
Mariana Remedios-ChanDepartment of Research and Development, Pathnostics, 15545 Sand Canyon Suite 100, Irvine, CA, 92618, USA.
Alain RosasDepartment of Research and Development, Pathnostics, 15545 Sand Canyon Suite 100, Irvine, CA, 92618, USA.
Jimin WangDepartment of Statistical Analysis, Stat4Ward, 2 Edgemoor Lane, Pittsburgh, PA, 15238, USA.
Yan JiangDepartment of Statistical Analysis, Stat4Ward, 2 Edgemoor Lane, Pittsburgh, PA, 15238, USA.
Lori AndersonDepartment of Writing, L. Anderson Diagnostic Market Access Consulting, 2755 Eagle Street, San Diego, CA, 92103, USA.
David BaunochDepartment of Research and Development, Pathnostics, 15545 Sand Canyon Suite 100, Irvine, CA, 92618, USA. dbaunoch@pathnostics.com.
Statistical Research (United States) · US

Funding

CSRD VA 1
6 · The paper itself

Abstract

backgroundCurrent diagnoses of urinary tract infection (UTI) by standard urine culture (SUC) has significant limitations in sensitivity, especially for fastidious organisms, and the ability to identify organisms in polymicrobial infections. The significant rate of both SUC "negative" or "mixed flora/contamination" results in UTI cases and the high prevalence of asymptomatic bacteriuria indicate the need for an accurate diagnostic test to help identify true UTI cases. This study aimed to determine if infection-associated urinary biomarkers can differentiate definitive UTI cases from non-UTI controls.

methodsMidstream clean-catch voided urine samples were collected from asymptomatic volunteers and symptomatic subjects ≥ 60 years old diagnosed with a UTI in a urology specialty setting. Microbial identification and density were assessed using a multiplex PCR/pooled antibiotic susceptibility test (M-PCR/P-AST) and SUC. Three biomarkers [neutrophil gelatinase-associated lipocalin (NGAL), and Interleukins 8 and 1β (IL-8, and IL-1β)] were also measured via enzyme-linked immunosorbent assay (ELISA). Definitive UTI cases were defined as symptomatic subjects with a UTI diagnosis and positive microorganism detection by SUC and M-PCR, while definitive non-UTI cases were defined as asymptomatic volunteers.

resultsWe observed a strong positive correlation (R

conclusionWe demonstrated that positive infection-associated urinary biomarkers NGAL, IL-8, and IL-1β, in symptomatic subjects with positive SUC and/or M-PCR results was associated with definitive UTI cases. A consensus criterion with ≥ 2 of the biomarkers meeting the positivity thresholds showed a good balance of sensitivity (84.0%), specificity (91.2%), and accuracy (86.9%). Therefore, this biomarker consensus is an excellent supportive diagnostic tool for resolving the presence of active UTI, particularly if SUC and M-PCR results disagree.

Indexed as

Interleukin-8Urinary Tract InfectionsBiomarkersConsensusHumansLipocalin-2Middle AgedROC CurveSensitivity and SpecificityBiomarkersInterleukin-8Lipocalin-2Diagnostic testingInterleukin 1β (IL-1β)Interleukin 8 (IL-8)Neutrophil gelatinase-associated lipocalin (NGAL)Urinary biomarkersUrinary tract infection (UTI)

Identifiers

PMID38297221
PMCPMC10829179
OpenAlexW4391389611

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.