Evidence map›Paper›PMID 34665758›Full record

Observational studyJMIR public health and surveillance2021

Investigating Unhealthy Alcohol Use As an Independent Risk Factor for Increased COVID-19 Disease Severity: Observational Cross-sectional Study.

Sameer Bhalla, Brihat Sharma, Dale Smith, Randy Boley, Connor McCluskey, Yousaf Ilyas, Majid Afshar, Robert Balk, Niranjan Karnik, Ali Keshavarzian

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in JMIR public health and surveillance, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 14% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Alcohol's Effects on the Lung and Lung Disease.Alcohol research : current reviews · 2025
    Pooled it
  2. Article
  3. The alcohol exposome.Alcohol (Fayetteville, N.Y.) · 2025
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Trends of Cirrhosis-related Mortality in the USA during the COVID-19 Pandemic.Journal of clinical and translational hepatology · 2023
    Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. Observational
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

10 authors at 2 institutions in 1 country.

Sameer BhallaDepartment of Internal Medicine, Rush University Medical Center, Chicago, IL, United States.ORCID 0000-0002-0445-5358
Brihat SharmaAddiction Data Science Laboratory, Department of Psychiatry & Behavioral Sciences, Rush University Medical Center, Chicago, IL, United States.ORCID 0000-0003-0417-4553
Dale SmithAddiction Data Science Laboratory, Department of Psychiatry & Behavioral Sciences, Rush University Medical Center, Chicago, IL, United States.ORCID 0000-0003-0854-9973
Randy BoleyAddiction Data Science Laboratory, Department of Psychiatry & Behavioral Sciences, Rush University Medical Center, Chicago, IL, United States.ORCID 0000-0002-9365-8412
Connor McCluskeyAddiction Data Science Laboratory, Department of Psychiatry & Behavioral Sciences, Rush University Medical Center, Chicago, IL, United States.ORCID 0000-0001-9607-9945
Yousaf IlyasAddiction Data Science Laboratory, Department of Psychiatry & Behavioral Sciences, Rush University Medical Center, Chicago, IL, United States.ORCID 0000-0002-5611-8054
Majid AfsharDepartment of Medicine, School of Medicine and Public Health, University of Wisconsin, Madison, WI, United States.ORCID 0000-0002-6368-4652
Robert BalkCenter for Integrated Microbiome and Chronobiology Research, Rush University Medical Center, Chicago, IL, United States.ORCID 0000-0001-5757-2649
Niranjan KarnikAddiction Data Science Laboratory, Department of Psychiatry & Behavioral Sciences, Rush University Medical Center, Chicago, IL, United States.ORCID 0000-0001-7650-3008
Ali KeshavarzianCenter for Circadian Rhythm and Alcohol-Induced Tissue Injury, Rush University Medical Center, Chicago, IL, United States.ORCID 0000-0002-7969-3369
Rush University Medical Center · USUniversity of Wisconsin–Madison · US

Funding

Quantifying How Cocaine Users Respond to Fentanyl Contamination in CocaineUG1DA049467 · NIDA · UNIVERSITY OF ILLINOIS AT CHICAGO · PI Niranjan Subhash Karnik, ANTONIO A MORGAN-LOPEZ · 2019 to 2026
$11.2M
Center for Circadian Rhythms and Alcohol-Induced Tissue DamageR24AA026801 · NIAAA · RUSH UNIVERSITY MEDICAL CENTER · PI ALI KESHAVARZIAN · 2019 to 2026
$4.5M
Data Driven Strategies for Substance Misuse Identification in Hospitalized PatientsR01DA051464 · NIDA · UNIVERSITY OF WISCONSIN-MADISON · PI Majid Afshar · 2020 to 2026
$4.5M
CHANGE OF GRANTEE INSTITUTION 1 K23 AA024503 Alcohol, Burn-Injury, and Acute Respiratory Distress SyndromeK23AA024503 · NIAAA · UNIVERSITY OF WISCONSIN-MADISON · PI AFSHAR, MAJID · 2016 to 2020
$948k
Microbiota-Mediated Bidirectional Interactions Between Alcohol Misuse and Post-COVID-19 SyndromeR01AA029859 · NIAAA · RUSH UNIVERSITY MEDICAL CENTER · PI ABDEL MOHSEN, MOHAMED, KESHAVARZIAN, ALI · 2021 to 2023
$632k
NIAAA NIH HHS K23 AA024503NIAAA NIH HHS R01 AA029859NIAAA NIH HHS R24 AA026801NIDA NIH HHS R01 DA051464NIDA NIH HHS UG1 DA049467
6 · The paper itself

Abstract

backgroundUnhealthy alcohol use (UAU) is known to disrupt pulmonary immune mechanisms and increase the risk of acute respiratory distress syndrome in patients with pneumonia; however, little is known about the effects of UAU on outcomes in patients with COVID-19 pneumonia. To our knowledge, this is the first observational cross-sectional study that aims to understand the effect of UAU on the severity of COVID-19.

objectiveWe aim to determine if UAU is associated with more severe clinical presentation and worse health outcomes related to COVID-19 and if socioeconomic status, smoking, age, BMI, race/ethnicity, and pattern of alcohol use modify the risk.

methodsIn this observational cross-sectional study that took place between January 1, 2020, and December 31, 2020, we ran a digital machine learning classifier on the electronic health record of patients who tested positive for SARS-CoV-2 via nasopharyngeal swab or had two COVID-19 International Classification of Disease, 10th Revision (ICD-10) codes to identify patients with UAU. After controlling for age, sex, ethnicity, BMI, smoking status, insurance status, and presence of ICD-10 codes for cancer, cardiovascular disease, and diabetes, we then performed a multivariable regression to examine the relationship between UAU and COVID-19 severity as measured by hospital care level (ie, emergency department admission, emergency department admission with ventilator, or death). We used a predefined cutoff with optimal sensitivity and specificity on the digital classifier to compare disease severity in patients with and without UAU. Models were adjusted for age, sex, race/ethnicity, BMI, smoking status, and insurance status.

resultsEach incremental increase in the predicted probability from the digital alcohol classifier was associated with a greater odds risk for more severe COVID-19 disease (odds ratio 1.15, 95% CI 1.10-1.20). We found that patients in the unhealthy alcohol group had a greater odds risk to develop more severe disease (odds ratio 1.89, 95% CI 1.17-3.06), suggesting that UAU was associated with an 89% increase in the odds of being in a higher severity category.

conclusionsIn patients infected with SARS-CoV-2, UAU is an independent risk factor associated with greater disease severity and/or death.

Indexed as

COVID-19Cross-Sectional StudiesHumansRisk FactorsSARS-CoV-2Severity of Illness Indexacute respiratory distress syndromeCOVID-19mechanical ventilationSARS-CoV-2substance misusesubstance useunhealthy alcohol use

Identifiers

PMID34665758
PMCPMC8575002
OpenAlexW3206869210

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.