Evidence map›Paper›PMID 36267247›Full record

ArticleOpen forum infectious diseases2022

Breath Biomarkers of Influenza Infection.

Patrick J Danaher, Michael Phillips, Peter Schmitt, Stephanie A Richard, Eugene V Millar, Brian K White, Jason F Okulicz, Christian L Coles, Timothy H Burgess

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Open forum infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 30% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Validation of Lung [Molecular imaging and biology · 2025
    Article
  3. Review
  4. Article
  5. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 6 institutions in 1 country.

Patrick J DanaherMedicine Service, Infectious Diseases Section, South Texas Veterans Health Care System, San Antonio, Texas, USA.
Michael PhillipsMenssana Research Inc., Fort Lee, New Jersey, USA.
Peter SchmittSchmitt & Associates, Newark, New Jersey, USA.
Stephanie A RichardInfectious Disease Clinical Research Program, The Henry M. Jackson Foundation for the Advancement of Military Medicine, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA.ORCID https://orcid.org/0000-0002-0530-384X
Eugene V MillarInfectious Disease Clinical Research Program, The Henry M. Jackson Foundation for the Advancement of Military Medicine, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA.
Brian K WhiteAir Force Medical Readiness Agency, Defense Health Headquarters, Falls Church, Virginia, USA.
Jason F OkuliczDepartment of Medicine, Infectious Diseases Service, Brooke Army Medical Center, San Antonio, Texas, USA.
Christian L ColesInfectious Disease Clinical Research Program, The Henry M. Jackson Foundation for the Advancement of Military Medicine, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA.
Timothy H BurgessInfectious Disease Clinical Research Program, The Henry M. Jackson Foundation for the Advancement of Military Medicine, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA.
Henry M. Jackson Foundation · USBrooke Army Medical Center · USDefense Health Agency · USMenssana Research (United States) · USSouth Texas Veterans Health Care System · USUniformed Services University of the Health Sciences · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Volatile organic compounds (VOCs) are produced systemically due to varied physiological states such as oxidative stress and are excreted through the lungs. Benchtop and preliminary clinical data suggest that breath testing may be a useful diagnostic modality for viral respiratory tract infections. Methods: Patients with influenza-like illness (ILI) presenting to a single clinic in San Antonio, Texas, from 3/2017 to 3/2019 submitted a 2-minute breath sample in addition to a nasopharyngeal swab collected for polymerase chain reaction (PCR) assay for respiratory pathogens. VOCs were assayed with gas chromatography-mass spectrometry (GC-MS), and data were analyzed to identify breath VOC biomarkers that discriminated between ILI patients with and without a polymerase chain reaction (PCR) assay that was positive for influenza. Results: Demographic, clinical, PCR, and breath data were available for 237 episodes of ILI, among which 32 episodes (13.5%) were PCR positive for influenza. Twenty candidate VOCs identified patients with influenza with greater than random accuracy. A predictive algorithm using 4 candidate biomarkers identified this group with 78% accuracy (74% sensitivity, 70% specificity). Based on their mass spectra, most of these biomarkers were n-alkane derivatives, consistent with products of oxidative stress. Conclusions: A breath test for VOC biomarkers accurately identified ILI patients with PCR-proven influenza. These findings bolster those of others that a rapid, accurate, universal point-of-care influenza diagnostic test based on assay of exhaled-breath VOCs may be feasible. The next step will be a study of patients with ILI using a simplified method of breath collection that would facilitate translation for use in clinical practice.

Indexed as

breath testdiagnosisinfluenzapolymerase chain reaction PCRrespiratory tract infectionvolatile organic compound VOC

Identifiers

PMID36267247
PMCPMC9578165
OpenAlexW4296704381

What OpenQuestion 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 OpenQuestion graph.