Cited 4 times in
International cohort study indicates no association between alpha-1 blockers and susceptibility to COVID-19 in benign prostatic hyperplasia patients
DC Field | Value | Language |
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dc.contributor.author | 유승찬 | - |
dc.date.accessioned | 2023-03-10T01:33:20Z | - |
dc.date.available | 2023-03-10T01:33:20Z | - |
dc.date.issued | 2022-09 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/193222 | - |
dc.description.abstract | Purpose: Alpha-1 blockers, often used to treat benign prostatic hyperplasia (BPH), have been hypothesized to prevent COVID-19 complications by minimising cytokine storm release. The proposed treatment based on this hypothesis currently lacks support from reliable real-world evidence, however. We leverage an international network of large-scale healthcare databases to generate comprehensive evidence in a transparent and reproducible manner. Methods: In this international cohort study, we deployed electronic health records from Spain (SIDIAP) and the United States (Department of Veterans Affairs, Columbia University Irving Medical Center, IQVIA OpenClaims, Optum DOD, Optum EHR). We assessed association between alpha-1 blocker use and risks of three COVID-19 outcomes-diagnosis, hospitalization, and hospitalization requiring intensive services-using a prevalent-user active-comparator design. We estimated hazard ratios using state-of-the-art techniques to minimize potential confounding, including large-scale propensity score matching/stratification and negative control calibration. We pooled database-specific estimates through random effects meta-analysis. Results: Our study overall included 2.6 and 0.46 million users of alpha-1 blockers and of alternative BPH medications. We observed no significant difference in their risks for any of the COVID-19 outcomes, with our meta-analytic HR estimates being 1.02 (95% CI: 0.92-1.13) for diagnosis, 1.00 (95% CI: 0.89-1.13) for hospitalization, and 1.15 (95% CI: 0.71-1.88) for hospitalization requiring intensive services. Conclusion: We found no evidence of the hypothesized reduction in risks of the COVID-19 outcomes from the prevalent-use of alpha-1 blockers-further research is needed to identify effective therapies for this novel disease. | - |
dc.description.statementOfResponsibility | open | - |
dc.language | English | - |
dc.publisher | Frontiers Media | - |
dc.relation.isPartOf | FRONTIERS IN PHARMACOLOGY | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.title | International cohort study indicates no association between alpha-1 blockers and susceptibility to COVID-19 in benign prostatic hyperplasia patients | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine (의과대학) | - |
dc.contributor.department | Dept. of Biomedical Systems Informatics (의생명시스템정보학교실) | - |
dc.contributor.googleauthor | Akihiko Nishimura | - |
dc.contributor.googleauthor | Junqing Xie | - |
dc.contributor.googleauthor | Kristin Kostka | - |
dc.contributor.googleauthor | Talita Duarte-Salles | - |
dc.contributor.googleauthor | Sergio Fernández Bertolín | - |
dc.contributor.googleauthor | María Aragón | - |
dc.contributor.googleauthor | Clair Blacketer | - |
dc.contributor.googleauthor | Azza Shoaibi | - |
dc.contributor.googleauthor | Scott L DuVall | - |
dc.contributor.googleauthor | Kristine Lynch | - |
dc.contributor.googleauthor | Michael E Matheny | - |
dc.contributor.googleauthor | Thomas Falconer | - |
dc.contributor.googleauthor | Daniel R Morales | - |
dc.contributor.googleauthor | Mitchell M Conover | - |
dc.contributor.googleauthor | Seng Chan You | - |
dc.contributor.googleauthor | Nicole Pratt | - |
dc.contributor.googleauthor | James Weaver | - |
dc.contributor.googleauthor | Anthony G Sena | - |
dc.contributor.googleauthor | Martijn J Schuemie | - |
dc.contributor.googleauthor | Jenna Reps | - |
dc.contributor.googleauthor | Christian Reich | - |
dc.contributor.googleauthor | Peter R Rijnbeek | - |
dc.contributor.googleauthor | Patrick B Ryan | - |
dc.contributor.googleauthor | George Hripcsak | - |
dc.contributor.googleauthor | Daniel Prieto-Alhambra | - |
dc.contributor.googleauthor | Marc A Suchard | - |
dc.identifier.doi | 10.3389/fphar.2022.945592 | - |
dc.contributor.localId | A02478 | - |
dc.relation.journalcode | J03340 | - |
dc.identifier.eissn | 1663-9812 | - |
dc.identifier.pmid | 36188566 | - |
dc.subject.keyword | causal inference | - |
dc.subject.keyword | electronic health records | - |
dc.subject.keyword | federated data model | - |
dc.subject.keyword | observational study | - |
dc.subject.keyword | open science | - |
dc.subject.keyword | treatment for SARS CoV-2 | - |
dc.contributor.alternativeName | You, Seng Chan | - |
dc.contributor.affiliatedAuthor | 유승찬 | - |
dc.citation.volume | 13 | - |
dc.citation.startPage | 945592 | - |
dc.identifier.bibliographicCitation | FRONTIERS IN PHARMACOLOGY, Vol.13 : 945592, 2022-09 | - |
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