A machine learning model exploring the relationship between chronic medication and COVID-19 clinical outcomes.

Journal: International journal of clinical pharmacy
Published Date: Jul 28, 2025

Abstract

BACKGROUND: The impact of chronic medication on COVID-19 outcomes has been a topic of ongoing debate since the onset of the pandemic. Investigating how specific long-term treatments influence infection severity and prognosis is essential for optimising patient management and care.

Authors

  • Berta Miró
    Statistics and Bioinformatics Unit, Vall d'Hebron Institut de Recerca (VHIR), Barcelona, Spain.
  • Natalia Díaz González
    Statistics and Bioinformatics Unit, Vall d'Hebron Institut de Recerca (VHIR), Barcelona, Spain.
  • Juan-Francisco Martínez-Cerdá
    Agency for Health Quality and Assessment of Catalonia (AQuaS), Barcelona, Spain.
  • Clara Viñas-Bardolet
    Agency for Health Quality and Assessment of Catalonia (AQuaS), Barcelona, Spain.
  • Alex Sánchez-Pla
    Statistics and Bioinformatics Research Group, Department of Genetics, Microbiology and Statistics, University of Barcelona, Barcelona, Spain.
  • Adrián Sánchez-Montalvá
    Department of Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain. Adrian.Sanchez.Montalva@uab.cat.
  • Marta Miarons
    Servicio de Farmacia, Hospital Universitario de Vall'Hebron, Barcelona. Spain.. mmiarons@vhebron.net.

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