Evidence map›Paper›PMID 34806036›Full record

ArticleThe Lancet. Rheumatology2022

Long-term use of immunosuppressive medicines and in-hospital COVID-19 outcomes: a retrospective cohort study using data from the National COVID Cohort Collaborative.

Kathleen M Andersen, Benjamin A Bates, Emaan S Rashidi, Amy L Olex, Roslyn B Mannon, Rena C Patel, Jasvinder Singh, Jing Sun, Paul G Auwaerter, Derek K Ng and 5 more

Open access · bronzeAbstract read
In one paragraph

Article in The Lancet. Rheumatology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 90 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
90citing papers in PubMed, 2 pooled it
7.5field-weighted citation impact, top 2% 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

90 citing papers in PubMed, 2 syntheses or guidelines pooled it, 132 citations in OpenAlex.

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30 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

15 authors at 7 institutions in 1 country.

Kathleen M AndersenDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Benjamin A BatesRutgers Center for Pharmacoepidemiology and Treatment Science, New Brunswick, NJ, USA.
Emaan S RashidiDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Amy L OlexWright Center for Clinical and Translational Research, Virginia Commonwealth University, Richmond, VA, USA.
Roslyn B MannonDivision of Nephrology, University of Nebraska Medical Center, Omaha, NE, USA.
Rena C PatelDepartment of Medicine and Department of Global Health, University of Washington, Seattle, WA, USA.
Jasvinder SinghMedicine Service, VA Medical Center, Birmingham, AL, USA.
Jing SunDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Paul G AuwaerterThe Sherrilyn and Ken Fisher Center for Environmental Infectious Diseases, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Derek K NgDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Jodi B SegalDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Brian T GaribaldiDivision of Pulmonary and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Hemalkumar B MehtaDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
G Caleb AlexanderDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
National COVID Cohort Collaborative Consortium
Johns Hopkins University · USJohns Hopkins Medicine · USRutgers, The State University of New Jersey · USUniversity of Alabama at Birmingham · USUniversity of Nebraska Medical Center · USUniversity of Washington · USVirginia Commonwealth University · US

Funding

National Dissemination of I-Corps@NCATS: Accelerating Translation through CommercializationUL1TR003096 · NCATS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI GUTIERREZ, ORLANDO M, KIMBERLY, ROBERT P. · 2019 to 2023
$43.6M
CD2H - The National COVID Cohort Collaborative (N3C) IDeA CTR CollaborationU24TR002306 · NCATS · UNIVERSITY OF COLORADO DENVER · PI CHUTE, CHRISTOPHER G, EDDY, JAMES A · 2017 to 2021
$28.9M
Research Supplement to Promote Diversity in Health Related ResearchUL1TR002649 · NCATS · VIRGINIA COMMONWEALTH UNIVERSITY · PI MOELLER, FREDERICK GERARD · 2018 to 2022
$19.1M
NHLBI Training Program in PharmacoepidemiologyT32HL139426 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI G. Caleb Alexander, JODI B. SEGAL · 2018 to 2026
$2.5M
Investigating interactions between efavirenz-based antiretroviral therapy and contraceptive implantsK23AI120855 · NIAID · UNIVERSITY OF WASHINGTON · PI PATEL, RENA CHIMAN · 2015 to 2019
$850k
Drug-Drug Interactions Involving Direct-Acting Oral Anticoagulants in Nursing Home ResidentsK01AG070329 · NIA · JOHNS HOPKINS UNIVERSITY · PI MEHTA, HEMALKUMAR B. · 2021 to 2025
$647k
NCATS NIH HHS U24 TR002306NCATS NIH HHS UL1 TR002649NCATS NIH HHS UL1 TR003096NHLBI NIH HHS T32 HL139426NIAID NIH HHS K23 AI120855NIA NIH HHS K01 AG070329
6 · The paper itself

Abstract

backgroundMany individuals take long-term immunosuppressive medications. We evaluated whether these individuals have worse outcomes when hospitalised with COVID-19 compared with non-immunosuppressed individuals.

methodsWe conducted a retrospective cohort study using data from the National COVID Cohort Collaborative (N3C), the largest longitudinal electronic health record repository of patients in hospital with confirmed or suspected COVID-19 in the USA, between Jan 1, 2020, and June 11, 2021, within 42 health systems. We compared adults with immunosuppressive medications used before admission to adults without long-term immunosuppression. We considered immunosuppression overall, as well as by 15 classes of medication and three broad indications for immunosuppressive medicines. We used Fine and Gray's proportional subdistribution hazards models to estimate the hazard ratio (HR) for the risk of invasive mechanical ventilation, with the competing risk of death. We used Cox proportional hazards models to estimate HRs for in-hospital death. Models were adjusted using doubly robust propensity score methodology.

findingsAmong 231 830 potentially eligible adults in the N3C repository who were admitted to hospital with confirmed or suspected COVID-19 during the study period, 222 575 met the inclusion criteria (mean age 59 years [SD 19]; 111 269 [50%] male). The most common comorbidities were diabetes (23%), pulmonary disease (17%), and renal disease (13%). 16 494 (7%) patients had long-term immunosuppression with medications for diverse conditions, including rheumatological disease (33%), solid organ transplant (26%), or cancer (22%). In the propensity score matched cohort (including 12 841 immunosuppressed patients and 29 386 non-immunosuppressed patients), immunosuppression was associated with a reduced risk of invasive ventilation (HR 0·89, 95% CI 0·83-0·96) and there was no overall association between long-term immunosuppression and the risk of in-hospital death. None of the 15 medication classes examined were associated with an increased risk of invasive mechanical ventilation. Although there was no statistically significant association between most drugs and in-hospital death, increases were found with rituximab for rheumatological disease (1·72, 1·10-2·69) and for cancer (2·57, 1·86-3·56). Results were generally consistent across subgroup analyses that considered race and ethnicity or sex, as well as across sensitivity analyses that varied exposure, covariate, and outcome definitions.

interpretationAmong this cohort, with the exception of rituximab, there was no increased risk of mechanical ventilation or in-hospital death for the rheumatological, antineoplastic, or antimetabolite therapies examined.

fundingNone.

Identifiers

PMID34806036
PMCPMC8592562
OpenAlexW3213954179

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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.