biostudies-literatureUnknown9Mertens E<h4>Objectives</h4> To adopt a multi-state risk prediction model for critical disease/mortality outcomes among hospitalised COVID-19 patients using nationwide COVID-19 hospital surveillance data in Belgium. <h4>Materials and methods</h4> Information on 44,659 COVID-19 patients hospitalised between March 2020 and June 2021 with complete data on disease outcomes and candidate predictors was used to adopt a multi-state, multivariate Cox model to predict patients’ probability of recovery, critical [transfer to intensive care units (ICU)] or fatal outcomes during hospital stay. <h4>Results</h4> Median length of hospital stay was 9 days (interquartile range: 5–14). After admission, approximately 82% of the COVID-19 patients were discharged alive, 15% of patients were admitted to ICU, and 15% dieFrontiers in medicinehttps://www.ebi.ac.uk/biostudies/studies/S-EPMC9727386biostudies-literaturePredicting COVID-19 progression in hospitalized patients in Belgium from a multi-state modelPMC9727386Penalvo JMertens EVandromme MSerrien BfalsePredicting COVID-19 progression in hospitalized patients in Belgium from a multi-state model<h4>Objectives</h4> To adopt a multi-state risk prediction model for critical disease/mortality outcomes among hospitalised COVID-19 patients using nationwide COVID-19 hospital surveillance data in Belgium. <h4>Materials and methods</h4> Information on 44,659 COVID-19 patients hospitalised between March 2020 and June 2021 with complete data on disease outcomes and candidate predictors was used to adopt a multi-state, multivariate Cox model to predict patients’ probability of recovery, critical [transfer to intensive care units (ICU)] or fatal outcomes during hospital stay. <h4>Results</h4> Median length of hospital stay was 9 days (interquartile range: 5–14). After admission, approximately 82% of the COVID-19 patients were discharged alive, 15% of patients were admitted to ICU, and 15% die2022-01-01T00:00:00Z2022 Jan2025-04-04T22:15:11.51Z2024-11-15T05:56:16.658ZS-EPMC9727386