Losartan in hospitalized patients with COVID-19 in North America : An individual participant data meta-analysis

Copyright © 2023 the Author(s). Published by Wolters Kluwer Health, Inc..

BACKGROUND: Angiotensin-converting enzyme inhibitors and angiotensin II receptor blockers (ARBs) have been hypothesized to benefit patients with COVID-19 via the inhibition of viral entry and other mechanisms. We conducted an individual participant data (IPD) meta-analysis assessing the effect of starting the ARB losartan in recently hospitalized COVID-19 patients.

METHODS: We searched ClinicalTrials.gov in January 2021 for U.S./Canada-based trials where an angiotensin-converting enzyme inhibitors/ARB was a treatment arm, targeted outcomes could be extrapolated, and data sharing was allowed. Our primary outcome was a 7-point COVID-19 ordinal score measured 13 to 16 days post-enrollment. We analyzed data by fitting multilevel Bayesian ordinal regression models and standardizing the resulting predictions.

RESULTS: 325 participants (156 losartan vs 169 control) from 4 studies contributed IPD. Three were randomized trials; one used non-randomized concurrent and historical controls. Baseline covariates were reasonably balanced for the randomized trials. All studies evaluated losartan. We found equivocal evidence of a difference in ordinal scores 13-16 days post-enrollment (model-standardized odds ratio [OR] 1.10, 95% credible interval [CrI] 0.76-1.71; adjusted OR 1.15, 95% CrI 0.15-3.59) and no compelling evidence of treatment effect heterogeneity among prespecified subgroups. Losartan had worse effects for those taking corticosteroids at baseline after adjusting for covariates (ratio of adjusted ORs 0.29, 95% CrI 0.08-0.99). Hypotension serious adverse event rates were numerically higher with losartan.

CONCLUSIONS: In this IPD meta-analysis of hospitalized COVID-19 patients, we found no convincing evidence for the benefit of losartan versus control treatment, but a higher rate of hypotension adverse events with losartan.

Medienart:

E-Artikel

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

Zur Gesamtaufnahme - volume:102

Enthalten in:

Medicine - 102(2023), 23 vom: 09. Juni, Seite e33904

Sprache:

Englisch

Beteiligte Personen:

Di Stefano, Leon [VerfasserIn]
Ram, Malathi [VerfasserIn]
Scharfstein, Daniel O [VerfasserIn]
Li, Tianjing [VerfasserIn]
Khanal, Preeti [VerfasserIn]
Baksh, Sheriza N [VerfasserIn]
McBee, Nichol [VerfasserIn]
Bengtson, Charles D [VerfasserIn]
Gadomski, Anne [VerfasserIn]
Geriak, Matthew [VerfasserIn]
Puskarich, Michael A [VerfasserIn]
Salathe, Matthias A [VerfasserIn]
Schutte, Aletta E [VerfasserIn]
Tignanelli, Christopher J [VerfasserIn]
Victory, Jennifer [VerfasserIn]
Bierer, Barbara E [VerfasserIn]
Hanley, Daniel F [VerfasserIn]
Freilich, Daniel A [VerfasserIn]
Pandemic Response COVID-19 Research Collaboration Platform for ACEi/ARB Pooled Analyses [VerfasserIn]

Links:

Volltext

Themen:

Angiotensin Receptor Antagonists
Angiotensin-Converting Enzyme Inhibitors
JMS50MPO89
Journal Article
Losartan
Meta-Analysis

Anmerkungen:

Date Completed 21.06.2023

Date Revised 16.09.2023

published: Print

Citation Status MEDLINE

doi:

10.1097/MD.0000000000033904

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM358372070