Development and validation of a predictive model of in-hospital mortality in COVID-19 patients

Diego Velasco-Rodríguez, Juan-Manuel Alonso-Dominguez, Rosa Vidal Laso, Daniel Lainez-González, Aránzazu García-Raso, Sara Martín-Herrero, Antonio Herrero, Inés Martínez Alfonzo, Juana Serrano-López, Elena Jiménez-Barral, Sara Nistal, Manuel Pérez Márquez, Elham Askari, Jorge Castillo Álvarez, Antonio Núñez, Ángel Jiménez Rodríguez, Sarah Heili-Frades, César Pérez-Calvo, Miguel Górgolas, Raquel Barba and Pilar Llamas-Sillero

PLOS ONE, 2021, vol. 16, issue 3, 1-12

Abstract: We retrospectively evaluated 2879 hospitalized COVID-19 patients from four hospitals to evaluate the ability of demographic data, medical history, and on-admission laboratory parameters to predict in-hospital mortality. Association of previously published risk factors (age, gender, arterial hypertension, diabetes mellitus, smoking habit, obesity, renal failure, cardiovascular/ pulmonary diseases, serum ferritin, lymphocyte count, APTT, PT, fibrinogen, D-dimer, and platelet count) with death was tested by a multivariate logistic regression, and a predictive model was created, with further validation in an independent sample. A total of 2070 hospitalized COVID-19 patients were finally included in the multivariable analysis. Age 61–70 years (p 80 years (p 2 ULN (p = 0.003; OR: 1.79; 95%CI: 1.22 to 2.62), and prolonged PT (p

Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0247676

DOI: 10.1371/journal.pone.0247676

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