Evidence map›Paper›PMID 32587982›Full record

ArticlemedRxiv : the preprint server for health sciences2020

Renin-angiotensin system blockers and susceptibility to COVID-19: a multinational open science cohort study.

Daniel R Morales, Mitchell M Conover, Seng Chan You, Nicole Pratt, Kristin Kostka, Talita Duarte-Salles, Sergio Fernández-Bertolín, Maria Aragón, Scott L DuVall, Kristine Lynch and 23 more

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed, 27 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

33 authors at 20 institutions in 9 countries.

Daniel R MoralesDivision of Population Health and Genomics, University of Dundee, UK.
Mitchell M ConoverObservational Health Data Analytics, Janssen Research and Development, Titusville, NJ, USA.
Seng Chan YouDepartment of Biomedical Informatics, Ajou University School of Medicine, Suwon, Korea.
Nicole PrattQuality Use of Medicines and Pharmacy Research Centre, Clinical and Health Sciences, University of South Australia, Adelaide, Australia.
Kristin KostkaReal World Solutions, IQVIA, Cambridge, MA, USA.
Talita Duarte-SallesFundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain.
Sergio Fernández-BertolínFundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain.
Maria AragónFundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain.
Scott L DuVallDepartment of Veterans Affairs, Salt Lake City, UT, USA.
Kristine LynchDepartment of Veterans Affairs, Salt Lake City, UT, USA.
Thomas FalconerDepartment of Biomedical Informatics, Columbia University, New York, USA.
Kees van BochoveThe Hyve, Utrecht, Netherlands.
Cynthia SungTranslational Discovery, Bill & Melinda Gates Medical Research Institute, Seattle, WA, USA.
Michael E MathenyGeriatric Research Education, and Clinical Care Center, Tennessee Valley Healthcare System VA, Nashville, TN.
Christophe G LambertDepartment of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM, USA.
Fredrik NybergSchool of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Thamir M AlshammariMedication Safety Research Chair, King Saud University, Riyadh, Saudi Arabia.
Andrew E WilliamsTufts Medical Center, Tufts University, Boston, MA, USA.
Rae Woong ParkDepartment of Biomedical Informatics, Ajou University School of Medicine, Suwon, Korea.
James WeaverObservational Health Data Analytics, Janssen Research and Development, Titusville, NJ, USA.
Anthony G SenaObservational Health Data Analytics, Janssen Research and Development, Titusville, NJ, USA.
Martijn J SchuemieObservational Health Data Analytics, Janssen Research and Development, Titusville, NJ, USA.
Peter R RijnbeekDepartment of Medical Informatics, Erasmus University Medical Center, Rotterdam, Netherlands.
Ross D WilliamsDepartment of Medical Informatics, Erasmus University Medical Center, Rotterdam, Netherlands.
Jennifer C E LaneCentre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, Oxford University, Oxford, UK.
Albert Prats-UribeCentre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, Oxford University, Oxford, UK.
Lin ZhangSchool of Public Health, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China.
Carlos AreiaNuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
Harlan M KrumholzSection of Cardiovascular Medicine, Department of Medicine, Yale University, New Haven, CT, USA.
Daniel Prieto-AlhambraCentre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, Oxford University, Oxford, UK.
Patrick B RyanObservational Health Data Analytics, Janssen Research and Development, Titusville, NJ, USA.
George HripcsakDepartment of Biomedical Informatics, Columbia University, New York, USA.
Marc A SuchardDepartment of Biostatistics, UCLA Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA, USA.
Janssen (United States) · USErasmus MC · NLInstitut Universitari d'Investigació en Atenció Primària Jordi Gol · ESNuffield Orthopaedic Centre · GBAjou University · KRColumbia University · USUniversity of Utah · USGates Foundation · USIQVIA (United States) · USKing Saud University · SAThe Hyve (Netherlands) · NLThe University of Melbourne · AUTufts University · USUniversity of California, Los Angeles · USUniversity of Dundee · GBUniversity of Gothenburg · SEUniversity of New Mexico · USUniversity of Oxford · GBUniversity of South Australia · AUVA Tennessee Valley Healthcare System · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Tufts Clinical and Translational Science Institute (Pilot Supplement)UL1TR002544 · NCATS · TUFTS UNIVERSITY BOSTON · PI SELKER, HARRY P. · 2018 to 2022
$50.2M
DISCOVERING AND APPLYING KNOWLEDGE IN CLINICAL DATABASESR01LM006910 · NLM · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI HRIPCSAK, GEORGE M · 2000 to 2023
$10.6M
NCATS NIH HHS UL1 TR001863NCATS NIH HHS UL1 TR002544NLM NIH HHS R01 LM006910Wellcome Trust
6 · The paper itself

Abstract

introductionAngiotensin converting enzyme inhibitors (ACEs) and angiotensin receptor blockers (ARBs) could influence infection risk of coronavirus disease (COVID-19). Observational studies to date lack pre-specification, transparency, rigorous ascertainment adjustment and international generalizability, with contradictory results.

methodsUsing electronic health records from Spain (SIDIAP) and the United States (Columbia University Irving Medical Center and Department of Veterans Affairs), we conducted a systematic cohort study with prevalent ACE, ARB, calcium channel blocker (CCB) and thiazide diuretic (THZ) use to determine relative risk of COVID-19 diagnosis and related hospitalization outcomes. The study addressed confounding through large-scale propensity score adjustment and negative control experiments.

resultsFollowing over 1.1 million antihypertensive users identified between November 2019 and January 2020, we observed no significant difference in relative COVID-19 diagnosis risk comparing ACE/ARB vs CCB/THZ monotherapy (hazard ratio: 0.98; 95% CI 0.84 - 1.14), nor any difference for mono/combination use (1.01; 0.90 - 1.15). ACE alone and ARB alone similarly showed no relative risk difference when compared to CCB/THZ monotherapy or mono/combination use. Directly comparing ACE vs. ARB demonstrated a moderately lower risk with ACE, non-significant for monotherapy (0.85; 0.69 - 1.05) and marginally significant for mono/combination users (0.88; 0.79 - 0.99). We observed, however, no significant difference between drug- classes for COVID-19 hospitalization or pneumonia risk across all comparisons.

conclusionThere is no clinically significant increased risk of COVID-19 diagnosis or hospitalization with ACE or ARB use. Users should not discontinue or change their treatment to avoid COVID-19.

Identifiers

PMID32587982
PMCPMC7310640
OpenAlexW3035529493

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.