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Losartan in hospitalized patients with COVID-19 in North America: An individual participant data meta-analysis
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 A...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10256351/ https://www.ncbi.nlm.nih.gov/pubmed/37335665 http://dx.doi.org/10.1097/MD.0000000000033904 |
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author | Di Stefano, Leon Ram, Malathi Scharfstein, Daniel O. Li, Tianjing Khanal, Preeti Baksh, Sheriza N. McBee, Nichol Bengtson, Charles D. Gadomski, Anne Geriak, Matthew Puskarich, Michael A. Salathe, Matthias A. Schutte, Aletta E. Tignanelli, Christopher J. Victory, Jennifer Bierer, Barbara E. Hanley, Daniel F. Freilich, Daniel A. |
author_facet | Di Stefano, Leon Ram, Malathi Scharfstein, Daniel O. Li, Tianjing Khanal, Preeti Baksh, Sheriza N. McBee, Nichol Bengtson, Charles D. Gadomski, Anne Geriak, Matthew Puskarich, Michael A. Salathe, Matthias A. Schutte, Aletta E. Tignanelli, Christopher J. Victory, Jennifer Bierer, Barbara E. Hanley, Daniel F. Freilich, Daniel A. |
author_sort | Di Stefano, Leon |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10256351 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-102563512023-06-10 Losartan in hospitalized patients with COVID-19 in North America: An individual participant data meta-analysis Di Stefano, Leon Ram, Malathi Scharfstein, Daniel O. Li, Tianjing Khanal, Preeti Baksh, Sheriza N. McBee, Nichol Bengtson, Charles D. Gadomski, Anne Geriak, Matthew Puskarich, Michael A. Salathe, Matthias A. Schutte, Aletta E. Tignanelli, Christopher J. Victory, Jennifer Bierer, Barbara E. Hanley, Daniel F. Freilich, Daniel A. Medicine (Baltimore) 4900 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. Lippincott Williams & Wilkins 2023-06-09 /pmc/articles/PMC10256351/ /pubmed/37335665 http://dx.doi.org/10.1097/MD.0000000000033904 Text en Copyright © 2023 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY) (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. This article is made available via the PMC Open Access Subset for unrestricted re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the COVID-19 pandemic or until permissions are revoked in writing. Upon expiration of these permissions, PMC is granted a perpetual license to make this article available via PMC and Europe PMC, consistent with existing copyright protections. |
spellingShingle | 4900 Di Stefano, Leon Ram, Malathi Scharfstein, Daniel O. Li, Tianjing Khanal, Preeti Baksh, Sheriza N. McBee, Nichol Bengtson, Charles D. Gadomski, Anne Geriak, Matthew Puskarich, Michael A. Salathe, Matthias A. Schutte, Aletta E. Tignanelli, Christopher J. Victory, Jennifer Bierer, Barbara E. Hanley, Daniel F. Freilich, Daniel A. Losartan in hospitalized patients with COVID-19 in North America: An individual participant data meta-analysis |
title | Losartan in hospitalized patients with COVID-19 in North America: An individual participant data meta-analysis |
title_full | Losartan in hospitalized patients with COVID-19 in North America: An individual participant data meta-analysis |
title_fullStr | Losartan in hospitalized patients with COVID-19 in North America: An individual participant data meta-analysis |
title_full_unstemmed | Losartan in hospitalized patients with COVID-19 in North America: An individual participant data meta-analysis |
title_short | Losartan in hospitalized patients with COVID-19 in North America: An individual participant data meta-analysis |
title_sort | losartan in hospitalized patients with covid-19 in north america: an individual participant data meta-analysis |
topic | 4900 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10256351/ https://www.ncbi.nlm.nih.gov/pubmed/37335665 http://dx.doi.org/10.1097/MD.0000000000033904 |
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