학술논문
Development and validation of a predictive model of in-hospital mortality in COVID-19 patients.
Document Type
article
Author
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; Pilar Llamas-Sillero
Source
PLoS ONE, Vol 16, Iss 3, p e0247676 (2021)
Subject
Language
English
ISSN
1932-6203
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 (p80 years (p2 ULN (p = 0.003; OR: 1.79; 95%CI: 1.22 to 2.62), and prolonged PT (p