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Pulmonary adverse drug event data in hypertension with implications on COVID-19 morbidity

Hypertension is a recognized comorbidity for COVID-19. The association of antihypertensive medications with outcomes in patients with hypertension is not fully described. However, angiotensin-converting enzyme 2 (ACE2), responsible for host entry of the novel coronavirus (SARS-CoV-2) leading to COVI...

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Autores principales: Jaberi-Douraki, Majid, Meyer, Emma, Riviere, Jim, Gedara, Nuwan Indika Millagaha, Kawakami, Jessica, Wyckoff, Gerald J., Xu, Xuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8233397/
https://www.ncbi.nlm.nih.gov/pubmed/34172790
http://dx.doi.org/10.1038/s41598-021-92734-7
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author Jaberi-Douraki, Majid
Meyer, Emma
Riviere, Jim
Gedara, Nuwan Indika Millagaha
Kawakami, Jessica
Wyckoff, Gerald J.
Xu, Xuan
author_facet Jaberi-Douraki, Majid
Meyer, Emma
Riviere, Jim
Gedara, Nuwan Indika Millagaha
Kawakami, Jessica
Wyckoff, Gerald J.
Xu, Xuan
author_sort Jaberi-Douraki, Majid
collection PubMed
description Hypertension is a recognized comorbidity for COVID-19. The association of antihypertensive medications with outcomes in patients with hypertension is not fully described. However, angiotensin-converting enzyme 2 (ACE2), responsible for host entry of the novel coronavirus (SARS-CoV-2) leading to COVID-19, is postulated to be upregulated in patients taking angiotensin-converting enzyme inhibitors (ACEIs) and angiotensin II receptor blockers (ARBs). Here, we evaluated the occurrence of pulmonary adverse drug events (ADEs) in patients with hypertension receiving ACEIs/ARBs to determine if disparities exist between individual drugs within the respective classes using data from the FDA Spontaneous Reporting Systems. For this purpose, we proposed the proportional reporting ratio to provide a statistical summary for the commonality of an ADE for a specific drug as compared to the entire database for drugs in the same or other classes. In addition, a statistical procedure, multiple logistic regression analysis, was employed to correct hidden confounders when causative covariates are underreported or untrusted to correct analyses of drug-ADE combinations. To date, analyses have been focused on drug classes rather than individual drugs which may have different ADE profiles depending on the underlying diseases present. A retrospective analysis of thirteen pulmonary ADEs showed significant differences associated with quinapril and trandolapril, compared to other ACEIs and ARBs. Specifically, quinapril and trandolapril were found to have a statistically significantly higher incidence of pulmonary ADEs compared with other ACEIs as well as ARBs (P < 0.0001) for group comparison (i.e., ACEIs vs. ARBs vs. quinapril vs. trandolapril) and (P ≤ 0.0007) for pairwise comparison (i.e., ACEIs vs. quinapril, ACEIs vs. trandolapril, ARBs vs. quinapril, or ARBs vs. trandolapril). This study suggests that specific members of the ACEI antihypertensive class (quinapril and trandolapril) have a significantly higher cluster of pulmonary ADEs.
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spelling pubmed-82333972021-07-06 Pulmonary adverse drug event data in hypertension with implications on COVID-19 morbidity Jaberi-Douraki, Majid Meyer, Emma Riviere, Jim Gedara, Nuwan Indika Millagaha Kawakami, Jessica Wyckoff, Gerald J. Xu, Xuan Sci Rep Article Hypertension is a recognized comorbidity for COVID-19. The association of antihypertensive medications with outcomes in patients with hypertension is not fully described. However, angiotensin-converting enzyme 2 (ACE2), responsible for host entry of the novel coronavirus (SARS-CoV-2) leading to COVID-19, is postulated to be upregulated in patients taking angiotensin-converting enzyme inhibitors (ACEIs) and angiotensin II receptor blockers (ARBs). Here, we evaluated the occurrence of pulmonary adverse drug events (ADEs) in patients with hypertension receiving ACEIs/ARBs to determine if disparities exist between individual drugs within the respective classes using data from the FDA Spontaneous Reporting Systems. For this purpose, we proposed the proportional reporting ratio to provide a statistical summary for the commonality of an ADE for a specific drug as compared to the entire database for drugs in the same or other classes. In addition, a statistical procedure, multiple logistic regression analysis, was employed to correct hidden confounders when causative covariates are underreported or untrusted to correct analyses of drug-ADE combinations. To date, analyses have been focused on drug classes rather than individual drugs which may have different ADE profiles depending on the underlying diseases present. A retrospective analysis of thirteen pulmonary ADEs showed significant differences associated with quinapril and trandolapril, compared to other ACEIs and ARBs. Specifically, quinapril and trandolapril were found to have a statistically significantly higher incidence of pulmonary ADEs compared with other ACEIs as well as ARBs (P < 0.0001) for group comparison (i.e., ACEIs vs. ARBs vs. quinapril vs. trandolapril) and (P ≤ 0.0007) for pairwise comparison (i.e., ACEIs vs. quinapril, ACEIs vs. trandolapril, ARBs vs. quinapril, or ARBs vs. trandolapril). This study suggests that specific members of the ACEI antihypertensive class (quinapril and trandolapril) have a significantly higher cluster of pulmonary ADEs. Nature Publishing Group UK 2021-06-25 /pmc/articles/PMC8233397/ /pubmed/34172790 http://dx.doi.org/10.1038/s41598-021-92734-7 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Jaberi-Douraki, Majid
Meyer, Emma
Riviere, Jim
Gedara, Nuwan Indika Millagaha
Kawakami, Jessica
Wyckoff, Gerald J.
Xu, Xuan
Pulmonary adverse drug event data in hypertension with implications on COVID-19 morbidity
title Pulmonary adverse drug event data in hypertension with implications on COVID-19 morbidity
title_full Pulmonary adverse drug event data in hypertension with implications on COVID-19 morbidity
title_fullStr Pulmonary adverse drug event data in hypertension with implications on COVID-19 morbidity
title_full_unstemmed Pulmonary adverse drug event data in hypertension with implications on COVID-19 morbidity
title_short Pulmonary adverse drug event data in hypertension with implications on COVID-19 morbidity
title_sort pulmonary adverse drug event data in hypertension with implications on covid-19 morbidity
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8233397/
https://www.ncbi.nlm.nih.gov/pubmed/34172790
http://dx.doi.org/10.1038/s41598-021-92734-7
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