Evidence map›Paper›PMID 36482179›Full record

ArticleCommunications medicine2022

Predominant SARS-CoV-2 variant impacts accuracy when screening for infection using exhaled breath vapor.

Mitchell M McCartney, Eva Borras, Dante E Rojas, Tristan L Hicks, Katherine L Hamera, Nam K Tran, Tina Tham, Maya M Juarez, Enrique Lopez, Nicholas J Kenyon and 1 more

Open access · goldAbstract read
In one paragraph

Article in Communications medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 23% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Harnessing breath biomarkers for pneumonia diagnosis and prognosis.Expert review of respiratory medicine · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

11 authors at 2 institutions in 1 country.

Mitchell M McCartney *Mechanical and Aerospace Engineering, UC Davis, Davis, CA, USA.ORCID http://orcid.org/0000-0001-7236-8400
Eva Borras *Mechanical and Aerospace Engineering, UC Davis, Davis, CA, USA.ORCID http://orcid.org/0000-0002-4613-5328
Dante E RojasMechanical and Aerospace Engineering, UC Davis, Davis, CA, USA.
Tristan L HicksMechanical and Aerospace Engineering, UC Davis, Davis, CA, USA.ORCID http://orcid.org/0000-0003-0092-7714
Katherine L HameraMechanical and Aerospace Engineering, UC Davis, Davis, CA, USA.
Nam K TranDepartment of Pathology and Laboratory Medicine, UC Davis, Sacramento, CA, USA.
Tina ThamDepartment of Internal Medicine, UC Davis, Sacramento, CA, USA.
Maya M JuarezDepartment of Internal Medicine, UC Davis, Sacramento, CA, USA.
Enrique LopezUC Davis School of Medicine, Sacramento, CA, USA.
Nicholas J KenyonUC Davis Lung Center, Davis, CA, USA.
Cristina E DavisMechanical and Aerospace Engineering, UC Davis, Davis, CA, USA. cedavis@ucdavis.edu.ORCID http://orcid.org/0000-0002-9878-7758
University of California, Davis · USVA Northern California Health Care System · US

Funding

UC Davis Clinical and Translational Science CenterUL1TR001860 · NCATS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI KENYON, NICHOLAS J., LYLES, COURTNEY REES · 2016 to 2025
$47.3M
UC Davis Environmental Health Sciences Core CenterP30ES023513 · NIEHS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Nicholas J. KENYON · 2015 to 2026
$26.0M
UC Davis Clinical and Translational Science CenterUL1TR000002 · NCATS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI BERGLUND, LARS F · 2012 to 2015
$12.2M
Revisiting ReCHARGE: ECHO Follow up on Middle Childhood and AdolescenceUG3OD023365 · OD · UNIVERSITY OF CALIFORNIA AT DAVIS · PI BENNETT, DEBORAH HALL, HERTZ-PICCIOTTO, IRVA · 2016 to 2024
$6.4M
Monitoring of disease-induced skin VOC patterns from handheld and wearable chemical sensorsU01TR004083 · NCATS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI CRISTINA ELIZABETH DAVIS, Nicholas J. KENYON · 2022 to 2026
$5.9M
Portable GC detector for breath-based COVID diagnosticsU18TR003795 · NCATS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI DAVIS, CRISTINA ELIZABETH, KENYON, NICHOLAS J. · 2021 to 2022
$1.9M
Defining Breath VOC Biomarkers to Improve Respiratory Health of Exposed VeteransI01BX004965 · VA · VA NORTHERN CALIFORNIA HEALTH CARE SYS · PI HARPER, RICHART W, KENYON, NICHOLAS J. · 2021 to 2025
–
BLRD VA I01 BX004965NCATS NIH HHS U01 TR004083NCATS NIH HHS U18 TR003795NCATS NIH HHS UL1 TR000002NCATS NIH HHS UL1 TR001860NIEHS NIH HHS P30 ES023513NIH HHS UG3 OD023365Tobacco-Related Disease Research Program (TRDRP) T31IR1614U.S. Department of Health & Human Services | National Institutes of Health (NIH) 1P30ES023513-01A1U.S. Department of Health & Human Services | National Institutes of Health (NIH) UG3-OD023365U.S. Department of Health & Human Services | NIH | National Center for Advancing Translational Sciences (NCATS) 1U01TR004083U.S. Department of Health & Human Services | NIH | National Center for Advancing Translational Sciences (NCATS) 1U18TR003795U.S. Department of Health & Human Services | NIH | National Center for Advancing Translational Sciences (NCATS) 4U18TR003795U.S. Department of Veterans Affairs (Department of Veterans Affairs) I01 BX004965-01A1
6 · The paper itself

Abstract

backgroundNew technologies with novel and ambitious approaches are being developed to diagnose or screen for SARS-CoV-2, including breath tests. The US FDA approved the first breath test for COVID-19 under emergency use authorization in April 2022. Most breath-based assays measure volatile metabolites exhaled by persons to identify a host response to infection. We hypothesized that the breathprint of COVID-19 fluctuated after Omicron became the primary variant of transmission over the Delta variant.

methodsWe collected breath samples from 142 persons with and without a confirmed COVID-19 infection during the Delta and Omicron waves. Breath samples were analyzed by gas chromatography-mass spectrometry.

resultsHere we show that based on 63 exhaled compounds, a general COVID-19 model had an accuracy of 0.73 ± 0.06, which improved to 0.82 ± 0.12 when modeling only the Delta wave, and 0.84 ± 0.06 for the Omicron wave. The specificity improved for the Delta and Omicron models (0.79 ± 0.21 and 0.74 ± 0.12, respectively) relative to the general model (0.61 ± 0.13).

conclusionsWe report that the volatile signature of COVID-19 in breath differs between the Delta-predominant and Omicron-predominant variant waves, and accuracies improve when samples from these waves are modeled separately rather than as one universal approach. Our findings have important implications for groups developing breath-based assays for COVID-19 and other respiratory pathogens, as the host response to infection may significantly differ depending on variants or subtypes.

Identifiers

PMID36482179
PMCPMC9731983
OpenAlexW4311286335

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.