Evidence map›Paper›PMID 39938055›Full record

ArticleThe Journal of infectious diseases2025

Urine Metabolites of Suspected Community-Acquired Pneumonia.

Lilliam Ambroggio, Todd A Florin, Kayla Williamson, Grace Bosma, Brandie D Wagner, Larisa Yeomans, Jae Hyun Kim, Heidi Sucharew, Maurizio Macaluso, Richard M Ruddy and 2 more

Abstract read
In one paragraph

Article in The Journal of infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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

12 authors.

Lilliam AmbroggioSections of Emergency Medicine and Hospital Medicine, Children's Hospital Colorado, Aurora, Colorado, USA.ORCID 0000-0002-6242-607X
Todd A FlorinDivision of Emergency Medicine, Ann and Robert H. Lurie Children's Hospital of Chicago & Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.ORCID 0000-0002-4387-2605
Kayla WilliamsonDepartment of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado, Aurora, Colorado, USA.
Grace BosmaDepartment of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado, Aurora, Colorado, USA.
Brandie D WagnerDepartment of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado, Aurora, Colorado, USA.
Larisa YeomansNuclear Magnetic Resonance Metabolomics Laboratory, University of Michigan, Ann Arbor, Michigan, USA.
Jae Hyun KimNuclear Magnetic Resonance Metabolomics Laboratory, University of Michigan, Ann Arbor, Michigan, USA.
Heidi SucharewDivision of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center & Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA.ORCID 0000-0002-3933-1574
Maurizio MacalusoDivision of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center & Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA.
Richard M RuddyDivision of Emergency Medicine, Cincinnati Children's Hospital Medical Center & Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA.
Kathleen A StringerNuclear Magnetic Resonance Metabolomics Laboratory, University of Michigan, Ann Arbor, Michigan, USA.ORCID 0000-0003-0238-7774
Samir S ShahDivisions of Hospital Medicine and Infectious Diseases, Cincinnati Children's Hospital Medical Center & Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA.

Funding

Translational Metabolomics in Critical CareR35GM136312 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KATHLEEN A STRINGER · 2020 to 2026
$2.8M
Cincinnati Center for Clinical and Translational Sciences and TrainingKL2TR000078 · NCATS · UNIVERSITY OF CINCINNATI · PI HEUBI, JAMES E., TSEVAT, JOEL · 2012 to 2014
$1.5M
BIOMARKERS AND RISK STRATIFICATION IN PEDIATRIC COMMUNITY-ACQUIRED PNEUMONIAK23AI121325 · NIAID · LURIE CHILDREN'S HOSPITAL OF CHICAGO · PI FLORIN, TODD ADAM · 2016 to 2019
$743k
Metabolomics Evaluation of the Etiology of PneumoniaK01AI125413 · NIAID · UNIVERSITY OF COLORADO DENVER · PI AMBROGGIO, LILLIAM · 2017 to 2021
$641k
Cincinnati Center for Clinical and Translational Science and Training 5KL2TR000078Gerber FoundationNational Institute of Allergy and Infectious DiseasesNational Institutes of Health (NIH) K01AI125413National Institutes of Health (NIH) K23AI121325NCATS NIH HHS KL2 TR000078NIAID NIH HHS K01 AI125413NIAID NIH HHS K23 AI121325NIGMS NIH HHS R35 GM136312NIGMS NIH HHS R35GM136416NIH National Center for Research Resources
6 · The paper itself

Abstract

backgroundAccurate diagnosis of community-acquired pneumonia (CAP) can be challenging. Clinical findings are nonspecific, and interpretations of chest radiographs have poor interrater reliability. Pilot studies demonstrate the potential for metabolomics to identify metabolite concentrations that differentiate children with CAP from those without. The objective of this study was to expand these findings in a large cohort of children with CAP compared with controls.

methodsUrine was collected from children, 3 months to 12 years old, with emergency department visits for suspected CAP and community-based controls. Magnetic resonance spectrometry was used to identify and quantify metabolites. A random forest approach developed 3 models discriminating case patients from community-based controls based on (1) clinical signs and symptoms, (2) metabolites, and (3) the combination of both. The area under the receiver operating characteristic curve (AUC) was computed for each model.

resultsIncluded were 253 case patients and 122 controls. The metabolite-only model had similar discriminatory ability as the combination model (AUC, 0.97 and 0.99, respectively). The discriminating metabolites in the metabolite-only model were 2-aminobutyrate, fumarate, hypoxanthine, acetone, leucine, quinolinate, valine, O-acetylcarnitine, citrate, and trigonelline. In the combined model, discriminatory clinical factors included receipt of corticosteroids, fever, cough, rapid breathing, decreased oral intake, difficulty breathing, receipt of albuterol, abnormal sleepiness, vomiting, and wheezing and included 5 additional metabolites compared with the metabolite-only model (4-hydroxybenzoate, isoleucine, carnitine, 2-hydroxyisovalerate, betaine, and succinate).

conclusionsUrine metabolite concentrations can accurately discriminate healthy children from children with suspected CAP. Metabolites associated with CAP may overcome limitations of prior diagnostic approaches.

Indexed as

Community-Acquired InfectionsPneumoniaBiomarkersCase-Control StudiesChildChild, PreschoolCommunity-Acquired PneumoniaFemaleHumansInfantMagnetic Resonance SpectroscopyMaleMetabolomicsROC CurveBiomarkersbiomarkerscontrolsmetabolomicpediatricpneumonia

Identifiers

PMID39938055
PMCPMC12349940

What Socratic holds

Textmetadata
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 Socratic graph.