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https://scidar.kg.ac.rs/handle/123456789/15748
Title: | Admission Predictors of Mortality in Hospitalized COVID-19 Patients—A Serbian Cohort Study |
Authors: | Poskurica, Mina ![]() Stevanovic, Dejan Zdravkovic, Vladimir ![]() ![]() Cekerevac, Ivan ![]() Ćupurdija, Vojislav ![]() Zdravkovic, Nebojsa ![]() ![]() Nikolić, Tomislav Markovic M. ![]() Jovanovic M. ![]() ![]() Popovic M. ![]() Vesić, Katarina ![]() Azanjac Arsic A. Lazarevic, Snezana ![]() Jevtovic, Andra ![]() Patrnogić A. Anđelković, Maja ![]() Petrovic, Marina ![]() ![]() |
Issue Date: | 2022 |
Abstract: | 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. |
URI: | https://scidar.kg.ac.rs/handle/123456789/15748 |
Type: | article |
DOI: | 10.3390/jcm11206109 |
ISSN: | - |
SCOPUS: | 2-s2.0-85140745170 |
Appears in Collections: | Faculty of Medical Sciences, Kragujevac |
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