Value of dynamic clinical and biomarker data for mortality risk prediction in COVID-19: a multicentre retrospective cohort study.

Carlo BerzuiniCathal HannanAndrew KingAndy VailClaire O'LearyDavid BroughJames GaleaKayode OgungbenroMegan WrightOmar PathmanabanSharon HulmeStuart AllanLuisa BernardinelliHiren C Patel

Published in: BMJ open (2020)

This study shows that clinical prediction models to predict death in hospitalised patients with COVID-19 can be improved by taking into account both non-linear effects in covariates such as age and dynamic changes in values of biomarkers.

Keyphrases

coronavirus disease
sars cov
clinical trial
cardiovascular events
study protocol
big data
cross sectional
machine learning
data analysis