1. Assessment of COVID-19 risk factors of early and long-term mortality with prediction models of clinical and laboratory variables
- Author
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Dawid Lipski, Artur Radziemski, Stanisław Wasiliew, Michał Wyrwa, Ludwina Szczepaniak-Chicheł, Łukasz Stryczyński, Anna Olasińska-Wiśniewska, Tomasz Urbanowicz, Bartłomiej Perek, Andrzej Tykarski, and Anna Komosa
- Subjects
Inflammation ,LDH ,COVID-19 ,Pneumonia ,Infectious and parasitic diseases ,RC109-216 - Abstract
Abstract Background Coronavirus disease (COVID-19) may lead to serious complications and increased mortality. The outcomes of patients who survive the early disease period are burdened with persistent long-term symptoms and increased long-term morbidity and mortality. The aim of our study was to determine which baseline parameters may provide the best prediction of early and long-term outcomes. Methods The study group comprised 141 patients hospitalized for COVID-19. Demographic data, clinical data and laboratory parameters were collected. The main study endpoints were defined as in-hospital mortality and 1-year mortality. The associations between the baseline data and the study endpoints were evaluated. Prediction models were created. Results The in-hospital mortality rate was 20.5% (n = 29). Compared with survivors, nonsurvivors were significantly older (p = 0.001) and presented comorbidities, including diabetes (0.027) and atrial fibrillation (p = 0.006). Assessment of baseline laboratory markers and time to early death revealed negative correlations between time to early death and higher IL-6 levels (p = 0.032; Spearman rho − 0.398) and lower lymphocyte counts (p = 0.018; Pearson r -0.438). The one-year mortality rate was 35.5% (n = 50). The 1-year nonsurvivor subgroup was older (p
- Published
- 2024
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