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, Neftalí; G Buenen, Arnoldus; Van Calster, Ben; Yaxmehen Bello-Chavolla, Omar; J Brunskill, Nigel; Curcin, Vasa; A A 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; W Major, Rupert; Maxwell, Lauren; Nair, Rajeshwari; Naucler, Pontus; Nguyen, Tri-Long; Noursadeghi, Mahdad; Rosa, Rossana; Soares, Felipe; Takada, Toshihiko; S van Royen, Florien; van Smeden, Maarten; Wynants, Laure; Modrák, Martin; CovidRetro collaboration, the; W Asselbergs, Folkert; Linschoten, Marijke; consortium, CAPACITY-COVID; 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

Shared by NobleBlocks on Jul 12, 2022 • 12:00 AM UTC

Authors:

Valentijn M T de Jong

Rebecca Z Rousset

Neftalí Eduardo Antonio-Villa

Abstract

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 acros...

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