Clinical characteristics and predictors for in-hospital mortality in adult COVID-19 patients: A retrospective single center cohort study in Vilnius, Lithuania

• DOI: 10.1371/journal.pone.0290656
• Publication Date: 2023-08-25T17:29:17Z
• Authors: Ieva Kubiliute; Monika Vitkauskaite; Jurgita Urboniene; Linas Svetikas; Birute Zablockiene; Ligita Jancoriene
• Keywords: Medical record; Stroke

Background The COVID-19 infection had spread worldwide causing many deaths. Mortality rates and patients’ characteristics varied within between countries, making it important to understand the peculiarities of different populations. aim this study was identify main predictors associated with in-hospital mortality due in Vilnius, Lithuania. Materials methods This a retrospective observational cohort conducted at Vilnius University Hospital Santaros Clinics, included SARS-CoV-2 positive patients aged over 18 years hospitalized March 2020 May 2021. Depersonalized data were retrieved from electronic medical records. predictive values laboratory parameters evaluated using ROC analysis. Multivariable binary logistic regression performed reveal COVID-19. Results Among 2794 patients, 54.4% male, age median 59 (IQR 48–70), 47.4% least one comorbidity. most common comorbidities arterial hypertension (36.9%) diabetes mellitus (13.7%). Overall, 12.7% died. revealed that (OR 1.04, 95%CI 1.02–1.06), congestive heart failure 3.06, 1.96–4.77), obesity 3.90, 2.12–7.16), COPD 2.92, 1.12–7.60), previous stroke 5.80, 2.07–16.21), urea >7.01 mmol/l 2.32, 1.47–3.67), AST/ALT >1.49 1.54, 1.08–2.21), LDH >452.5 U/l 2.60, 1.74–3.88), CRP >92.68 mg/l 1.58, 1.06–2.35), IL-6 >69.55 ng/l 1.62, 1.10–2.40), troponin I >18.95 2.04, 1.38–3.02), increased risk for patients. Conclusions Age, failure, obesity, COPD, prior stroke, concentration urea, LDH, CRP, IL-6, I, ALT AST ratio identified be