Evidence map›Paper›PMID 34612005›Full record

ArticleWorld psychiatry : official journal of the World Psychiatric Association (WPA)2022

Increased risk for COVID-19 breakthrough infection in fully vaccinated patients with substance use disorders in the United States between December 2020 and August 2021.

Lindsey Wang, QuanQiu Wang, Pamela B Davis, Nora D Volkow, Rong Xu

Abstract read
In one paragraph

Article in World psychiatry : official journal of the World Psychiatric Association (WPA), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 86 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
86citing papers in PubMed, 2 pooled it
–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

86 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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26 more citing papers are in PubMed but not listed here.

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

5 authors.

Lindsey WangCenter for Artificial Intelligence in Drug Discovery, School of Medicine, Case Western Reserve University, Cleveland, OH, USA.
QuanQiu WangCenter for Artificial Intelligence in Drug Discovery, School of Medicine, Case Western Reserve University, Cleveland, OH, USA.
Pamela B DavisCenter for Community Health Integration, School of Medicine, Case Western Reserve University, Cleveland, OH, USA.
Nora D VolkowNational Institute on Drug Abuse, National Institutes of Health, Bethesda, MD, USA.
Rong XuCenter for Artificial Intelligence in Drug Discovery, School of Medicine, Case Western Reserve University, Cleveland, OH, USA.

Funding

Neurobiology of Substance Abuse and AddictionZIAAA000550 · NIAAA · NATIONAL INSTITUTE ON ALCOHOL ABUSE AND ALCOHOLISM · PI VOLKOW, NORA D. · 2009 to 2025
$115.1M
Clinical and Translational Science Collaborative of ClevelandUL1TR002548 · NCATS · CASE WESTERN RESERVE UNIVERSITY · PI MCCOMSEY, GRACE A · 2018 to 2022
$35.5M
Clinical and Translational Science Collaborative of Northern Ohio, Catalyzing Linkages to Equity in Health (CLE Health)UM1TR004528 · NCATS · CASE WESTERN RESERVE UNIVERSITY · PI GRACE A MCCOMSEY · 2023 to 2026
$32.1M
Greater Southern California Node of the Clinical Trials NetworkUG1DA049435 · NIDA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI YIH-ING HSER · 2019 to 2026
$16.7M
Combine computational prediction, network analysis and genetic screening in C elegans to uncover neurodegenerative causes in Alzheimer's DiseaseR01AG061388 · NIA · CASE WESTERN RESERVE UNIVERSITY · PI CHEN, SHU G., XU, RONG · 2018 to 2022
$3.4M
An Integrated Reverse Engineering Approach Toward Rapid drug Re positioning for Alzheimer's DiseaseR01AG057557 · NIA · CASE WESTERN RESERVE UNIVERSITY · PI XU, RONG · 2017 to 2021
$2.8M
Collision of Alzheimers disease and COVID-19 pandemic in the United States: risks, outcomes, disparities and treatmentsRF1AG076649 · NIA · CASE WESTERN RESERVE UNIVERSITY · PI DAVIS, PAMELA B, XU, RONG · 2022 to 2022
$2.3M
Construct large-scale phenomes of disease and drugs and develop data-driven systems approaches to understand genetic links between Alzheimer's disease and Neuropsychiatric symptomsR56AG062272 · NIA · CASE WESTERN RESERVE UNIVERSITY · PI XU, RONG · 2018 to 2019
$1.6M
Collision of Alzheimers disease and COVID-19 pandemic in the United States: risks, outcomes, disparities and treatmentsR01AG076649 · NIA · CASE WESTERN RESERVE UNIVERSITY · PI Rong Xu · 2025 to 2026
$1.6M
Characterize multifaceted interactions between COVID-19 and alcohol use disorder based on real-time analysis of electronic health records of 62 million adult patientsR01AA029831 · NIAAA · CASE WESTERN RESERVE UNIVERSITY · PI DAVIS, PAMELA B, XU, RONG · 2021 to 2023
$1.1M
NCATS NIH HHS UL1 TR002548NCATS NIH HHS UM1 TR004528NIAAA NIH HHS R01 AA029831NIA NIH HHS R01 AG057557NIA NIH HHS R01 AG061388NIA NIH HHS R01 AG076649NIA NIH HHS R56 AG062272NIA NIH HHS RF1 AG076649NIDA NIH HHS UG1 DA049435
6 · The paper itself

Abstract

Individuals with substance use disorders (SUDs) are at increased risk for COVID-19 infection and for adverse outcomes of the infection. Though vaccines are highly effective against COVID-19, their effectiveness in individuals with SUDs might be curtailed by compromised immune status and a greater likelihood of exposures, added to the waning vaccine immunity and the new SARS-CoV-2 variants. In a population-based cohort study, we assessed the risk, time trends, outcomes and disparities of COVID-19 breakthrough infection in fully vaccinated SUD patients starting 14 days after completion of vaccination. The study included 579,372 individuals (30,183 with a diagnosis of SUD and 549,189 without such a diagnosis) who were fully vaccinated between December 2020 and August 2021, and had not contracted COVID-19 infection prior to vaccination. We used the TriNetX Analytics network platform to access de-identified electronic health records from 63 health care organizations in the US. Among SUD patients, the risk for breakthrough infection ranged from 6.8% for tobacco use disorder to 7.8% for cannabis use disorder, all significantly higher than the 3.6% in non-SUD population (p<0.001). Breakthrough infection risk remained significantly higher after controlling for demographics (age, gender, ethnicity) and vaccine types for all SUD subtypes, except for tobacco use disorder, and was highest for cocaine and cannabis use disorders (hazard ratio, HR=2.06, 95% CI: 1.30-3.25 for cocaine; HR=1.92, 95% CI: 1.39-2.66 for cannabis). When we matched SUD and non-SUD individuals for lifetime comorbidities and adverse socioeconomic determinants of health, the risk for breakthrough infection no longer differed between these populations, except for patients with cannabis use disorder, who remained at increased risk (HR=1.55, 95% CI: 1.22-1.99). The risk for breakthrough infection was higher in SUD patients who received the Pfizer than the Moderna vaccine (HR=1.49, 95% CI: 1.31-1.69). In the vaccinated SUD population, the risk for hospitalization was 22.5% for the breakthrough cohort and 1.6% for the non-breakthrough cohort (risk ratio, RR=14.4, 95% CI: 10.19-20.42), while the risk for death was 1.7% and 0.5% respectively (RR=3.5, 95% CI: 1.74-7.05). No significant age, gender and ethnic disparities for breakthrough infection were observed in vaccinated SUD patients. These data suggest that fully vaccinated SUD individuals are at higher risk for breakthrough COVID-19 infection, and this is largely due to their higher prevalence of comorbidities and adverse socioeconomic determinants of health compared with non-SUD individuals. The high frequency of comorbidities in SUD patients is also likely to contribute to their high rates of hospitalization and death following breakthrough infection.

Indexed as

cannabis use disordercocaine use disordercomorbiditiesCOVID-19 breakthrough infectionsocioeconomic determinants of healthSubstance use disordersvaccination

Identifiers

PMID34612005
PMCPMC8661963

What OpenQuestion holds

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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.