Decreased Mortality Rate Among COVID-19 Patients Prescribed Statins: Data From Electronic Health Records in the US.

COVID-19 SARS-CoV-2 electronic health records inflammatory response mortality rate oxidative stress statins

Journal

Frontiers in medicine
ISSN: 2296-858X
Titre abrégé: Front Med (Lausanne)
Pays: Switzerland
ID NLM: 101648047

Informations de publication

Date de publication:
2021
Historique:
received: 09 12 2020
accepted: 06 01 2021
entrez: 22 2 2021
pubmed: 23 2 2021
medline: 23 2 2021
Statut: epublish

Résumé

The severe respiratory illness due to SARS-CoV-2, the virus responsible for coronavirus disease 2019 (COVID-19), is triggered by an intense pro-inflammatory host response. Statins, prescribed primarily for lipid reduction, are known to have anti-inflammatory and immunomodulatory properties and have been associated with a reduced mortality rate among COVID-19 patients taking statins as reported in two recent retrospective studies. However, a meta-analysis that included nine studies showed that statin use did not improve in-hospital outcomes of those with COVID-19. In addition, concerns regarding the use of statins and an increase in COVID-19 infections have been raised, as statins may increase the expression of angiotensin-converting enzyme 2 (ACE2), the primary receptor for the SARS-CoV-2 virus. Our goal was to investigate the effect of statins in COVID-19 patients in a large, diverse patient population across the United States containing nearly 120,000 patients diagnosed with COVID-19. We used propensity score matching of demographics, comorbidities, and medication indication to compare statin-treated patients (

Identifiants

pubmed: 33614688
doi: 10.3389/fmed.2021.639804
pmc: PMC7887302
doi:

Types de publication

Journal Article

Langues

eng

Pagination

639804

Informations de copyright

Copyright © 2021 Marić, Oskotsky, Kosti, Le, Wong, Shaw, Sirota and Stevenson.

Déclaration de conflit d'intérêts

MS is a scientific advisor at twoXAR. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Ivana Marić (I)

Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, United States.

Tomiko Oskotsky (T)

Department of Pediatrics, UCSF, San Francisco, CA, United States.
Bakar Computational Health Sciences Institute, UCSF, San Francisco, CA, United States.

Idit Kosti (I)

Department of Pediatrics, UCSF, San Francisco, CA, United States.
Bakar Computational Health Sciences Institute, UCSF, San Francisco, CA, United States.

Brian Le (B)

Department of Pediatrics, UCSF, San Francisco, CA, United States.
Bakar Computational Health Sciences Institute, UCSF, San Francisco, CA, United States.

Ronald J Wong (RJ)

Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, United States.

Gary M Shaw (GM)

Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, United States.

Marina Sirota (M)

Department of Pediatrics, UCSF, San Francisco, CA, United States.
Bakar Computational Health Sciences Institute, UCSF, San Francisco, CA, United States.

David K Stevenson (DK)

Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, United States.

Classifications MeSH