Prediction model for in-hospital mortality in patients at high altitudes with ARDS due to COVID-19

David Rene Rodriguez Lima, Cristhian Rubio Ramos, Andrés Felipe Yepes Velasco, Leonardo Andrés Gómez Cortes, Darío Isaías Pinilla Rojas, Ángela María Pinzón Rondón and Ángela María Ruíz Sternberg

PLOS ONE, 2023, vol. 18, issue 10, 1-16

Abstract: Introduction: The diagnosis of acute respiratory distress syndrome (ARDS) includes the ratio of pressure arterial oxygen and inspired oxygen fraction (P/F) ≤ 300, which is often adjusted in locations more than 1,000 meters above sea level (masl) due to hypobaric hypoxemia. The main objective of this study was to develop a prediction model for in-hospital mortality among patients with ARDS due to coronavirus disease 2019 (COVID-19) (C-ARDS) at 2,600 masl with easily available variables at patient admission and to compare its discrimination capacity with a second model using the P/F adjusted for this high altitude. Methods: This study was an analysis of data from patients with C-ARDS treated between March 2020 and July 2021 in a university hospital located in the city of Bogotá, Colombia, at 2,600 masl. Demographic and laboratory data were extracted from electronic records. For the prediction model, univariate analyses were performed to screen variables with p

Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0293476

DOI: 10.1371/journal.pone.0293476

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