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


Journal

medRxiv : the preprint server for health sciences
Titre abrégé: medRxiv
Pays: United States
ID NLM: 101767986

Informations de publication

Date de publication:
12 Jun 2020
Historique:
entrez: 27 6 2020
pubmed: 27 6 2020
medline: 27 6 2020
Statut: epublish

Résumé

Angiotensin 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. Using 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. Following 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. There 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.

Identifiants

pubmed: 32587982
doi: 10.1101/2020.06.11.20125849
pmc: PMC7310640
pii:
doi:

Types de publication

Preprint

Langues

eng

Subventions

Organisme : Wellcome Trust
Pays : United Kingdom
Organisme : NLM NIH HHS
ID : R01 LM006910
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR001863
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR002544
Pays : United States

Commentaires et corrections

Type : CommentIn
Type : UpdateIn
Type : CommentIn

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Auteurs

Daniel R Morales (DR)

Division of Population Health and Genomics, University of Dundee, UK.

Mitchell M Conover (MM)

Observational Health Data Analytics, Janssen Research and Development, Titusville, NJ, USA.

Seng Chan You (SC)

Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, Korea.

Nicole Pratt (N)

Quality Use of Medicines and Pharmacy Research Centre, Clinical and Health Sciences, University of South Australia, Adelaide, Australia.

Kristin Kostka (K)

Real World Solutions, IQVIA, Cambridge, MA, USA.

Talita Duarte-Salles (T)

Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain.

Sergio Fernández-Bertolín (S)

Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain.

Maria Aragón (M)

Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain.

Scott L DuVall (SL)

Department of Veterans Affairs, Salt Lake City, UT, USA.
University of Utah School of Medicine, Salt Lake City, UT, USA.

Kristine Lynch (K)

Department of Veterans Affairs, Salt Lake City, UT, USA.
University of Utah School of Medicine, Salt Lake City, UT, USA.

Thomas Falconer (T)

Department of Biomedical Informatics, Columbia University, New York, USA.

Kees van Bochove (K)

The Hyve, Utrecht, Netherlands.

Cynthia Sung (C)

Translational Discovery, Bill & Melinda Gates Medical Research Institute, Seattle, WA, USA.

Michael E Matheny (ME)

Geriatric Research Education, and Clinical Care Center, Tennessee Valley Healthcare System VA, Nashville, TN.
Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA.

Christophe G Lambert (CG)

Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM, USA.

Fredrik Nyberg (F)

School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.

Thamir M Alshammari (TM)

Medication Safety Research Chair, King Saud University, Riyadh, Saudi Arabia.

Andrew E Williams (AE)

Tufts Medical Center, Tufts University, Boston, MA, USA.

Rae Woong Park (RW)

Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, Korea.

James Weaver (J)

Observational Health Data Analytics, Janssen Research and Development, Titusville, NJ, USA.

Anthony G Sena (AG)

Observational Health Data Analytics, Janssen Research and Development, Titusville, NJ, USA.
Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, Netherlands.

Martijn J Schuemie (MJ)

Observational Health Data Analytics, Janssen Research and Development, Titusville, NJ, USA.

Peter R Rijnbeek (PR)

Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, Netherlands.

Ross D Williams (RD)

Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, Netherlands.

Jennifer C E Lane (JCE)

Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, Oxford University, Oxford, UK.

Albert Prats-Uribe (A)

Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, Oxford University, Oxford, UK.

Lin Zhang (L)

School of Public Health, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China.
Melbourne School of Public Health, The University of Melbourne, Victoria, Australia.

Carlos Areia (C)

Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.

Harlan M Krumholz (HM)

Section of Cardiovascular Medicine, Department of Medicine, Yale University, New Haven, CT, USA.

Daniel Prieto-Alhambra (D)

Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, Oxford University, Oxford, UK.

Patrick B Ryan (PB)

Observational Health Data Analytics, Janssen Research and Development, Titusville, NJ, USA.
Department of Biomedical Informatics, Columbia University, New York, USA.

George Hripcsak (G)

Department of Biomedical Informatics, Columbia University, New York, USA.

Marc A Suchard (MA)

Department of Biostatistics, UCLA Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA, USA.
Department of Computational Medicine, David Geffen School of Medicine at UCLA, University of California, Los Angeles, Los Angeles, CA, USA.

Classifications MeSH