Evidence map›Paper›PMID 35279457›Full record

ArticleDrug and alcohol dependence2022

Substance use disorders and COVID-19: An analysis of nation-wide Veterans Health Administration electronic health records.

Deborah S Hasin, David S Fink, Mark Olfson, Andrew J Saxon, Carol Malte, Katherine M Keyes, Jaimie L Gradus, Magdalena Cerdá, Charles C Maynard, Salomeh Keyhani and 5 more

Open access · greenAbstract read
In one paragraph

Article in Drug and alcohol dependence, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
6.5field-weighted citation impact, top 3% 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

15 citing papers in PubMed, 35 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. 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

15 authors at 5 institutions in 1 country.

Deborah S HasinColumbia University and New York State Psychiatric Institute, United States. Electronic address: dsh2@cumc.columbia.edu.
David S FinkNew York State Psychiatric Institute, United States.
Mark OlfsonColumbia University and New York State Psychiatric Institute, United States.
Andrew J SaxonVA Puget Sound Health Care System and University of Washington, United States.
Carol MalteVA Puget Sound Health Care System, United States.
Katherine M KeyesColumbia University, United States.
Jaimie L GradusBoston University, United States.
Magdalena CerdáNew York University, United States.
Charles C MaynardVA Puget Sound Health Care System and University of Washington, United States.
Salomeh KeyhaniVA San Francisco and University of California at San Francisco, United States.
Silvia S MartinsColumbia University, United States.
Ofir LivneColumbia University, United States.
Zachary L MannesColumbia University, United States.
Scott E ShermanVA New York Harbor Healthcare System and New York University, United States.
Melanie M WallColumbia University and New York State Psychiatric Institute, United States.
Columbia University · USVA Puget Sound Health Care System · USNew York State Psychiatric InstituteNew York University · USVA NY Harbor Healthcare System · US

Funding

Substance Abuse Epidemiology Training Program (SAETP) at Columbia UniversityT32DA031099 · NIDA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI DEBORAH S HASIN, Silvia Saboia Martins · 2012 to 2026
$6.1M
NIDA NIH HHS T32 DA031099
6 · The paper itself

Abstract

backgroundSubstance use disorders (SUD) elevate the risk for COVID-19 hospitalization, but studies are inconsistent on the relationship of SUD to COVID-19 mortality.

methodsVeterans Health Administration (VHA) patients treated in 2019 and evaluated in 2020 for COVID-19 (n=5,556,315), of whom 62,303 (1.1%) tested positive for COVID-19 (COVID-19+). Outcomes were COVID-19+ by 11/01/20, hospitalization, ICU admission, or death within 60 days of a positive test. Main predictors were any ICD-10-CM SUDs, with substance-specific SUDs (cannabis, cocaine, opioid, stimulant, sedative) explored individually. Logistic regression produced unadjusted and covariate-adjusted odds ratios (OR; aOR).

resultsAmong COVID-19+ patients, 19.25% were hospitalized, 7.71% admitted to ICU, and 5.84% died. In unadjusted models, any SUD and all substance-specific SUDs except cannabis use disorder were associated with COVID-19+(ORs=1.06-1.85); adjusted models produced similar results. Any SUD and all substance-specific SUDs were associated with hospitalization (aORs: 1.24-1.91). Any SUD, cocaine and opioid disorder were associated with ICU admission in unadjusted but not adjusted models. Any SUD, cannabis, cocaine, and stimulant disorders were inversely associated with mortality in unadjusted models (OR=0.27-0.46). After adjustment, associations with mortality were no longer significant. In ad hoc analyses, adjusted odds of mortality were lower among the 49.9% of COVID-19+ patients with SUD who had SUD treatment in 2019, but not among those without such treatment.

conclusionsIn VHA patients, SUDs are associated with COVID-19 hospitalization but not COVID-19 mortality. SUD treatment may provide closer monitoring of care, ensuring that these patients received needed medical attention, enabling them to ultimately survive serious illness.

Indexed as

CocaineCOVID-19Substance-Related DisordersVeteransAnalgesics, OpioidElectronic Health RecordsHumansVeterans HealthAnalgesics, OpioidCocaineCOVID-19HospitalizationMortalitySubstance use disorderVeterans Health Administration

Identifiers

PMID35279457
PMCPMC8891118
OpenAlexW4214885340

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.