Clinical prediction models for mortality in patients with covid-19: external validation and individual participant data meta-analysis

M. T. de Jong, Valentijn; Z. Rousset, Rebecca; Eduardo Antonio‐Villa, Neftali; G. Buenen, A.; Van Calster, Ben; Yaxmehen Bello‐Chavolla, Omar; J. Brunskill, Nigel; Ćurčin, Vasa; AAG Damen, Johanna; A. Fermín‐Martínez, Carlos; Fernández‐Chirino, Luisa; Ferrari, Davide; C. Free, Robert; K Gupta, Rishi; Haldar, Pranabashis; Hedberg, Pontus; Kwasi Korang, Steven; Kurstjens, Steef; Kusters, Ron; Major, Rupert; Maxwell, Lauren; Nair, Rajeshwari; Nauclér, Pontus; Nguyen, Tri‐Long; Noursadeghi, Mahdad; Rosa, Rossana; Soares, Felipe; Takada, Toshihiko; S van Royen, Florien; van Smeden, Maarten; Wynants, Laure; Modrák, Martin; W. Asselbergs, Folkert; Linschoten, Marijke; G.M. Moons, Karel; P. A. Debray, Thomas

doi:10.1136/bmj-2021-069881

Public

Clinical prediction models for mortality in patients with covid-19: external validation and individual participant data meta-analysis

Published in BMJ • Jul 12, 2022

Authors:

Valentijn M. T. de Jong

Rebecca Z. Rousset

Neftali Eduardo Antonio‐Villa

Abstract

OBJECTIVE: To externally validate various prognostic models and scoring rules for predicting short term mortality in patients admitted to hospital for covid-19. DESIGN: Two stage individual participant data meta-analysis. SETTING: Secondary and tertiary care. PARTICIPANTS: 46 914 patients across 18 ...

Subject

Coronavirus disease 2019 (COVID-19)

Meta-analysis

2019-20 coronavirus outbreak

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