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IL-6-based mortality prediction model for COVID-19: Validation and update in multicenter and second wave cohorts.

Authors :
Utrero-Rico A
Ruiz-Hornillos J
González-Cuadrado C
Rita CG
Almoguera B
Minguez P
Herrero-González A
Fernández-Ruiz M
Carretero O
Taracido-Fernández JC
López-Rodriguez R
Corton M
Aguado JM
Villar LM
Ayuso-García C
Paz-Artal E
Laguna-Goya R
Source :
The Journal of allergy and clinical immunology [J Allergy Clin Immunol] 2021 May; Vol. 147 (5), pp. 1652-1661.e1. Date of Electronic Publication: 2021 Mar 01.
Publication Year :
2021

Abstract

Background: Coronavirus disease 2019 (COVID-19) is a highly variable condition. Validated tools to assist in the early detection of patients at high risk of mortality can help guide medical decisions.<br />Objective: We sought to validate externally, as well as in patients from the second pandemic wave in Europe, our previously developed mortality prediction model for hospitalized COVID-19 patients.<br />Methods: Three validation cohorts were generated: 2 external with 185 and 730 patients from the first wave and 1 internal with 119 patients from the second wave. The probability of death was calculated for all subjects using our prediction model, which includes peripheral blood oxygen saturation/fraction of inspired oxygen ratio, neutrophil-to-lymphocyte ratio, lactate dehydrogenase, IL-6, and age. Discrimination and calibration were evaluated in the validation cohorts. The prediction model was updated by reestimating individual risk factor effects in the overall cohort (N = 1477).<br />Results: The mortality prediction model showed good performance in the external validation cohorts 1 and 2, and in the second wave validation cohort 3 (area under the receiver-operating characteristic curve, 0.94, 0.86, and 0.86, respectively), with excellent calibration (calibration slope, 0.86, 0.94, and 0.79; intercept, 0.05, 0.03, and 0.10, respectively). The updated model accurately predicted mortality in the overall cohort (area under the receiver-operating characteristic curve, 0.91), which included patients from both the first and second COVID-19 waves. The updated model was also useful to predict fatal outcome in patients without respiratory distress at the time of evaluation.<br />Conclusions: This is the first COVID-19 mortality prediction model validated in patients from the first and second pandemic waves. The COR+12 online calculator is freely available to facilitate its implementation (https://utrero-rico.shinyapps.io/COR12_Score/).<br /> (Copyright © 2021 American Academy of Allergy, Asthma & Immunology. Published by Elsevier Inc. All rights reserved.)

Details

Language :
English
ISSN :
1097-6825
Volume :
147
Issue :
5
Database :
MEDLINE
Journal :
The Journal of allergy and clinical immunology
Publication Type :
Academic Journal
Accession number :
33662370
Full Text :
https://doi.org/10.1016/j.jaci.2021.02.021