Evidence map›Paper›PMID 36968974›Full record

ArticleSubstance abuse : research and treatment2023

Comparing COVID-19-related Morbidity and Mortality Between Patients With and Without Substance Use Disorders: A Retrospective Cohort Study.

Angela McLaughlin, Rebecca Burns, Morgan Ryan, Wafaa Abbasi, Leah Harvey, Jacqueline Hicks, Pranay Sinha, Sabrina A Assoumou

Abstract read
In one paragraph

Article in Substance abuse : research and treatment, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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.

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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Angela McLaughlinSection of Infectious Diseases, Department of Medicine, Boston Medical Center, Boston, MA, USA.
Rebecca BurnsInternal Medicine Residency Program, Department of Medicine, Boston University School of Medicine, Boston, MA, USA.
Morgan RyanDepartment of Biostatistics, Boston University School of Public Health, Boston, MA, USA.
Wafaa AbbasiBoston University School of Medicine, Boston, MA, USA.
Leah HarveySection of Infectious Diseases, Department of Medicine, Boston Medical Center, Boston, MA, USA.
Jacqueline HicksDepartment of Biostatistics, Boston University School of Public Health, Boston, MA, USA.
Pranay SinhaSection of Infectious Diseases, Department of Medicine, Boston Medical Center, Boston, MA, USA.
Sabrina A AssoumouSection of Infectious Diseases, Department of Medicine, Boston Medical Center, Boston, MA, USA.

Funding

BU Clinical HIV/AIDS Research Training Program (BU-CHART)T32AI052074 · NIAID · BOSTON UNIVERSITY MEDICAL CAMPUS · PI Benjamin P. Linas · 2003 to 2026
$6.7M
Advancing Clinical Research Training within Addiction Residency ProgramsR25DA033211 · NIDA · BOSTON MEDICAL CENTER · PI Patrick O'Connor, JEFFREY H. SAMET · 2012 to 2026
$4.2M
Engaging Young People who Inject Drugs into HCV and HIV Care: Administrative Supplement to Promote Research Continuity and RetentionK23DA044085 · NIDA · BOSTON MEDICAL CENTER · PI ASSOUMOU, SABRINA A · 2018 to 2022
$979k
NIAID NIH HHS T32 AI052074NIDA NIH HHS K23 DA044085NIDA NIH HHS R25 DA033211Wellcome Trust
6 · The paper itself

Abstract

Objectives: People with substance use disorders (SUD) are suggested to have higher risk of hospitalization, intubation, or death from coronavirus disease 2019 (COVID-19), although data are mixed. Little is known about other COVID-19-related complications in this group. We compared morbidity and mortality among individuals with and without SUD who were admitted to an urban safety net hospital with COVID-19 early in the pandemic, contemporaneous to other published studies on this subject. Methods: We performed a retrospective study of patients ⩾18 years old admitted with COVID-19 from March 16th to April 8th, 2020. SUD included alcohol, opioid, cocaine, amphetamine, and benzodiazepine use disorders and was identified using diagnostic codes, free text clinical documentation, and urine drug screens. The primary outcome was inpatient mortality. Secondary outcomes included clinical complications (eg, secondary infections, venous thromboembolism) and resource utilization (eg, mechanical ventilation, length of stay). We used multivariable regression to assess the relationship between SUD and mortality. Results: Of 409 patients, the mean age was 56 years and 13.7% had SUD. Those with SUD were more likely to be male, have experienced homelessness, have pulmonary disease or hepatitis C, or use tobacco or cannabis. After multivariable analysis, SUD was not associated with mortality (aOR 1.03; 95% CI, 0.31-3.10). Secondary outcomes were also similar between groups. Conclusions: Our findings suggest that persons with and without SUD have similar COVID-19-related outcomes. Previously reported increased COVID-19 complications may be from medical comorbidities.

Indexed as

addictioncomplicationsCOVID-19safety netsubstance use

Identifiers

PMID36968974
PMCPMC10034287

What OpenQuestion holds

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LicenceCC BY-NC
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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.