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Alpha-1 blockers and susceptibility to COVID-19 in benign prostate hyperplasia patients : an international cohort study
Akihiko Nishimura; Junqing Xie; Kristin Kostka; Talita Duarte-Salles; Sergio Fernandez Bertolin; Maria Aragon; Clair Blacketer; Azza Shoaibi; Scott L Duvall; Kristine E. Lynch; Michael E. Matheny; Thomas Falconer; Daniel R Morales; Mitchell M Conover; Seng Chan You; Nicole Pratt; James Weaver; Anthony G. Sena; Martijn J Schuemie; Jenna Reps; Christian Reich; Peter R Rijnbeek; Patrick B Ryan; George Hripcsak; DANIEL PRIETO-ALHAMBRA; Marc A Suchard.
Afiliación
  • Akihiko Nishimura; Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
  • Junqing Xie; Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, Oxford University, Oxford, UK
  • Kristin Kostka; Real World Solutions, IQVIA, Cambridge, MA, USA . The OHDSI Center at The Roux Institute, Northeastern University, Portland, ME, USA
  • Talita Duarte-Salles; Fundació Institut Universitari per a la recerca a l'Atenció Primária de Salut Jordi Gol i Gurina, (IDIAPJGol), Barcelona, Spain
  • Sergio Fernandez Bertolin; Fundació Institut Universitari per a la recerca a ĺAtenció Primária de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
  • Maria Aragon; Fundació Institut Universitari per a la recerca a ĺAtencióPrimária de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
  • Clair Blacketer; Observational Health Data Analytics, Janssen Research and Development, Titusville, NJ, USA
  • Azza Shoaibi; Observational Health Data Analytics, Janssen Research and Development, Titusville, NJ, USA
  • Scott L Duvall; VA Informatics and Computing Infrastructure, VA Salt Lake City Health Care System, Salt Lake City, UT, USA. Department of Internal Medicine, University of Utah
  • Kristine E. Lynch; VA Informatics and Computing Infrastructure, VA Salt Lake City Health Care System, Salt Lake City, UT, USA . Department of Internal Medicine, University of Utah
  • Michael E. Matheny; Tennessee Valley Healthcare System, Veterans Affairs Medical Center, Nashville, TN, USA . Department of Biomedical Informatics, Vanderbilt University Medical Ce
  • Thomas Falconer; Department of Biomedical Informatics, Columbia University, New York, USA
  • Daniel R Morales; Division of Population Health and Genomics, University of Dundee, UK . Department of Public Health, University of Southern Denmark, Denmark
  • Mitchell M Conover; Observational Health Data Analytics, Janssen Research and Development, Titusville, NJ, USA
  • Seng Chan You; Department of Preventive Medicine and Public Health, Yonsei University College of Medicine, Seoul, Korea
  • Nicole Pratt; Quality Use of Medicines and Pharmacy Research Centre, Clinical and Health Sciences, University of South Australia, Adelaide, Australia
  • James Weaver; Observational Health Data Analytics, Janssen Research and Development, Titusville, NJ, USA
  • Anthony G. Sena; Observational Health Data Analytics, Janssen Research and Development, Titusville, NJ, USA . Department of Medical Informatics, Erasmus University Medical Cente
  • Martijn J Schuemie; Observational Health Data Analytics, Janssen Research and Development, Titusville, NJ, USA. Department of Biostatistics, UCLA Fielding School of Public Health,
  • Jenna Reps; Observational Health Data Analytics, Janssen Research and Development, Titusville, NJ, USA
  • Christian Reich; Real World Solutions, IQVIA, Cambridge, MA, USA
  • Peter R Rijnbeek; Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands
  • Patrick B Ryan; Observational Health Data Analytics, Janssen Research and Development, Titusville, NJ, USA
  • George Hripcsak; Department of Biomedical Informatics, Columbia University, New York, USA
  • DANIEL PRIETO-ALHAMBRA; Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, Oxford University, Oxford, UK
  • Marc A Suchard; Department of Biostatistics, UCLA Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA, USA. Department of Computational Med
Preprint en En | PREPRINT-MEDRXIV | ID: ppmedrxiv-21253778
ABSTRACT
Alpha-1 blockers, often used to treat benign prostate hyperplasia (BPH), have been hypothesized to prevent COVID-19 complications by minimising cytokine storms release. We conducted a prevalent-user active-comparator cohort study to assess association between alpha-1 blocker use and risks of three COVID-19

outcomes:

diagnosis, hospitalization, and hospitalization requiring intensive services. Our study included 2.6 and 0.46 million users of alpha-1 blockers and of alternative BPH therapy during the period between November 2019 and January 2020, found in 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 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 found no differential risk for any of COVID-19 outcome, pointing to the need for further research on potential COVID-19 therapies.
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Texto completo: 1 Colección: 09-preprints Base de datos: PREPRINT-MEDRXIV Tipo de estudio: Cohort_studies / Diagnostic_studies / Observational_studies / Prognostic_studies Idioma: En Año: 2021 Tipo del documento: Preprint
Texto completo
Añadir a Mi BVS
Imprimir
XML
Buscar en Google
Texto completo: 1 Colección: 09-preprints Base de datos: PREPRINT-MEDRXIV Tipo de estudio: Cohort_studies / Diagnostic_studies / Observational_studies / Prognostic_studies Idioma: En Año: 2021 Tipo del documento: Preprint