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

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.

Aim

This study aimed to investigate the association between chronic medication and COVID-19 outcomes, using machine learning to identify key medication-related factors.

Method

We analysed 137,835 COVID-19 patients in Catalonia (February-September 2020) using eXtreme Gradient Boosting to predict hospitalisation, ICU admission, and mortality. This was complemented by univariate logistic regression analyses and a sensitivity analysis focusing on diabetes, hypertension, and lipid disorders.

Re

SUBMITTER: Miro B 

PROVIDER: S-EPMC12335402 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature