Evidence map›Paper›PMID 39592213›Full record

ArticleAlcohol, clinical & experimental research2025

Phosphatidylethanol measures in patients with severe COVID-19-associated respiratory failure identify a subset with alcohol misuse.

Raymond Pomponio, Ryan A Peterson, Moses Owusu, Suzanne Slaughter, Stephanie Melgar, Sarah E Jolley, Ellen L Burnham

Registry-linked trialAbstract read
In one paragraph

Article in Alcohol, clinical & experimental research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04488081 (I-SPY COVID TRIAL), which is not on this map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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.

NCT04488081 phase2active not recruitingnot on this map

I-SPY COVID TRIAL: An Adaptive Platform Trial to Reduce Mortality and Ventilator Requirements for Critically Ill Patients

TypeinterventionalSponsorQuantumLeap Healthcare CollaborativeRan2020 to 2030Enrolled1,500ConditionsCOVID-19ArmsRemdesivir, Imatinib Mesylate, Dexamethasone, Cenicriviroc, Icatibant
3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Raymond PomponioDepartment of Biostatistics and Informatics, Colorado School of Public Health, Aurora, Colorado, USA.
Ryan A PetersonDepartment of Biostatistics and Informatics, Colorado School of Public Health, Aurora, Colorado, USA.
Moses OwusuDepartment of Biostatistics and Informatics, Colorado School of Public Health, Aurora, Colorado, USA.
Suzanne SlaughterDivision of Pulmonary Sciences and Critical Care Medicine, Department of Medicine, University of Colorado School of Medicine, Aurora, Colorado, USA.
Stephanie MelgarUniversity of Denver, Denver, Colorado, USA.
Sarah E JolleyDivision of Pulmonary Sciences and Critical Care Medicine, Department of Medicine, University of Colorado School of Medicine, Aurora, Colorado, USA.
Ellen L BurnhamDivision of Pulmonary Sciences and Critical Care Medicine, Department of Medicine, University of Colorado School of Medicine, Aurora, Colorado, USA.ORCID https://orcid.org/0000-0002-9945-0284

Funding

Supplement: CoPARC: Colorado Pulmonary Alcohol Research CollaborativeR24AA019661 · NIAAA · UNIVERSITY OF COLORADO DENVER · PI ELLEN L BURNHAM · 2011 to 2026
$8.5M
Impact of Alcohol Misuse on Cognitive and Respiratory Outcomes in COVID-19-associated Acute Respiratory FailureR01AA029855 · NIAAA · UNIVERSITY OF COLORADO DENVER · PI BURNHAM, ELLEN L · 2021 to 2023
$727k
Allergan FoundationAmgen FoundationApotexBiomedical Advanced Research and Development AuthorityDefense Threat Reduction AgencyImplicit BioscienceNIAAA NIH HHS R01 AA029855NIAAA NIH HHS R24 AA019661NIH HHS R01AA029855NIH HHS R24AA019661Pfizer, Inc.Roche/GenentechTakeda Pharmaceutical Company
6 · The paper itself

Abstract

backgroundClinical trials in patients with COVID-19 have exclusively used self- or proxy-reporting to characterize alcohol consumption. The aim of this study was to measure an objective biomarker of recent alcohol use in patients hospitalized with severe COVID-19-associated respiratory failure who were enrolled in an investigational clinical trial to determine the prevalence of alcohol misuse, and to explore the relationship of alcohol use with outcomes.

methodsWe conducted a substudy of patients enrolled in the multicenter, phase 2, adaptive platform design, Investigation of Serial Studies to Predict Your Therapeutic Response with Imaging And molecular Analysis in COVID-19 trial (ClinicalTrials.gov: NCT04488081), conducted at 20 hospital systems across the United States. Three hundred and fifty-five patients with available red blood cell (RBC) samples and 60-day follow-up assessments were included. RBCs were utilized to measure phosphatidylethanol (PEth). Prespecified thresholds of PEth were utilized to stratify patients into groups: low/no alcohol use (PEth < 20 ng/mL), significant alcohol use (PEth 20-200 ng/mL), and heavy alcohol use (PEth ≥ 200 ng/mL).

resultsIn this cohort, 17% of patients met criteria for significant alcohol use, while 4% met criteria for heavy alcohol use. Alcohol misuse was associated with diminished odds for home discharge, though this finding did not achieve statistical significance.

conclusionsIn a cohort of patients with severe COVID-19 enrolled in a clinical trial, alcohol consumption of two or more standard drinks per day was present among 21%, approximating the proportion of patients with diabetes, and raising the possibility that alcohol consumption alters risk for severe viral pneumonia. Undetected alcohol misuse among clinical trial participants has the potential to influence study outcomes or contribute to adverse events.

Indexed as

biologic markerspneumoniarespiratory distress syndromesocial risk factorsvirus diseases

Identifiers

PMID39592213
PMCPMC11747829

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.