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Admission Predictors of Mortality in Hospitalized COVID-19 Patients—A Serbian Cohort Study
Background: Early prediction of COVID-19 patients’ mortality risk may be beneficial in adequate triage and risk assessment. Therefore, we aimed to single out the independent morality predictors of hospitalized COVID-19 patients among parameters available on hospital admission. Methods: An observatio...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9605560/ https://www.ncbi.nlm.nih.gov/pubmed/36294430 http://dx.doi.org/10.3390/jcm11206109 |
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author | Poskurica, Mina Stevanović, Đorđe Zdravković, Vladimir Čekerevac, Ivan Ćupurdija, Vojislav Zdravković, Nebojša Nikolić, Tomislav Marković, Marina Jovanović, Marina Popović, Marija Vesić, Katarina Azanjac Arsić, Ana Lazarević, Snežana Jevtović, Andra Patrnogić, Aleksandar Anđelković, Marija Petrović, Marina |
author_facet | Poskurica, Mina Stevanović, Đorđe Zdravković, Vladimir Čekerevac, Ivan Ćupurdija, Vojislav Zdravković, Nebojša Nikolić, Tomislav Marković, Marina Jovanović, Marina Popović, Marija Vesić, Katarina Azanjac Arsić, Ana Lazarević, Snežana Jevtović, Andra Patrnogić, Aleksandar Anđelković, Marija Petrović, Marina |
author_sort | Poskurica, Mina |
collection | PubMed |
description | Background: Early prediction of COVID-19 patients’ mortality risk may be beneficial in adequate triage and risk assessment. Therefore, we aimed to single out the independent morality predictors of hospitalized COVID-19 patients among parameters available on hospital admission. Methods: An observational, retrospective–prospective cohort study was conducted on 703 consecutive COVID-19 patients hospitalized in the University Clinical Center Kragujevac between September and December 2021. Patients were followed during the hospitalization, and in-hospital mortality was observed as a primary end-point. Within 24 h of admission, patients were sampled for blood gas and laboratory analysis, including complete blood cell count, inflammation biomarkers and other biochemistry, coagulation parameters, and cardiac biomarkers. Socio-demographic and medical history data were obtained using patients’ medical records. Results: The overall prevalence of mortality was 28.4% (n = 199). After performing multiple regression analysis on 20 parameters, according to the initial univariate analysis, only four independent variables gave statistically significant contributions to the model: SaO2 < 88.5 % (aOR 3.075), IL-6 > 74.6 pg/mL (aOR 2.389), LDH > 804.5 U/L (aOR 2.069) and age > 69.5 years (aOR 1.786). The C-index of the predicted probability calculated using this multivariate logistic model was 0.740 (p < 0.001). Conclusions: Parameters available on hospital admission can be beneficial in predicting COVID-19 mortality. |
format | Online Article Text |
id | pubmed-9605560 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-96055602022-10-27 Admission Predictors of Mortality in Hospitalized COVID-19 Patients—A Serbian Cohort Study Poskurica, Mina Stevanović, Đorđe Zdravković, Vladimir Čekerevac, Ivan Ćupurdija, Vojislav Zdravković, Nebojša Nikolić, Tomislav Marković, Marina Jovanović, Marina Popović, Marija Vesić, Katarina Azanjac Arsić, Ana Lazarević, Snežana Jevtović, Andra Patrnogić, Aleksandar Anđelković, Marija Petrović, Marina J Clin Med Article Background: Early prediction of COVID-19 patients’ mortality risk may be beneficial in adequate triage and risk assessment. Therefore, we aimed to single out the independent morality predictors of hospitalized COVID-19 patients among parameters available on hospital admission. Methods: An observational, retrospective–prospective cohort study was conducted on 703 consecutive COVID-19 patients hospitalized in the University Clinical Center Kragujevac between September and December 2021. Patients were followed during the hospitalization, and in-hospital mortality was observed as a primary end-point. Within 24 h of admission, patients were sampled for blood gas and laboratory analysis, including complete blood cell count, inflammation biomarkers and other biochemistry, coagulation parameters, and cardiac biomarkers. Socio-demographic and medical history data were obtained using patients’ medical records. Results: The overall prevalence of mortality was 28.4% (n = 199). After performing multiple regression analysis on 20 parameters, according to the initial univariate analysis, only four independent variables gave statistically significant contributions to the model: SaO2 < 88.5 % (aOR 3.075), IL-6 > 74.6 pg/mL (aOR 2.389), LDH > 804.5 U/L (aOR 2.069) and age > 69.5 years (aOR 1.786). The C-index of the predicted probability calculated using this multivariate logistic model was 0.740 (p < 0.001). Conclusions: Parameters available on hospital admission can be beneficial in predicting COVID-19 mortality. MDPI 2022-10-17 /pmc/articles/PMC9605560/ /pubmed/36294430 http://dx.doi.org/10.3390/jcm11206109 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Poskurica, Mina Stevanović, Đorđe Zdravković, Vladimir Čekerevac, Ivan Ćupurdija, Vojislav Zdravković, Nebojša Nikolić, Tomislav Marković, Marina Jovanović, Marina Popović, Marija Vesić, Katarina Azanjac Arsić, Ana Lazarević, Snežana Jevtović, Andra Patrnogić, Aleksandar Anđelković, Marija Petrović, Marina Admission Predictors of Mortality in Hospitalized COVID-19 Patients—A Serbian Cohort Study |
title | Admission Predictors of Mortality in Hospitalized COVID-19 Patients—A Serbian Cohort Study |
title_full | Admission Predictors of Mortality in Hospitalized COVID-19 Patients—A Serbian Cohort Study |
title_fullStr | Admission Predictors of Mortality in Hospitalized COVID-19 Patients—A Serbian Cohort Study |
title_full_unstemmed | Admission Predictors of Mortality in Hospitalized COVID-19 Patients—A Serbian Cohort Study |
title_short | Admission Predictors of Mortality in Hospitalized COVID-19 Patients—A Serbian Cohort Study |
title_sort | admission predictors of mortality in hospitalized covid-19 patients—a serbian cohort study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9605560/ https://www.ncbi.nlm.nih.gov/pubmed/36294430 http://dx.doi.org/10.3390/jcm11206109 |
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