Severity and Mortality Predictors of COVID-19 Patients with Thrombotic Events-Evidence from the "COVID-One" Hospital in Albania.
Najada ComoEnkeleint A MechiliMigena QatoEsmeralda MetaArjana StrakoshaAlbana FicoAlbana KengaAthina E PatelarouEvridiki PatelarouPublished in: Vaccines (2022)
COVID-19 vaccination leads to lower infection, morbidity, and mortality rates. However, COVID-19 infection leads to the development of coagulopathy-related manifestations in the form of both venous and arterial thromboembolism. This study aimed to assess the severity and mortality predictors of COVID-19 patients with thrombotic events in hospitalized patients in Albania. This is a retrospective study conducted in the "Mother Tereza" University Hospital of Tirana. Data were retrieved from the electronic databases of the hospital and only COVID-19 cases admitted to the infectious department during August-December 2020 were selected. Patients who, at admission, had a C-reactive protein (CRP) (mg/L) more than double and a D-dimer (ng/mL) more than triple according to international standards were included in the study. We performed univariate and multivariable logistic regression analysis, calculating unadjusted and adjusted odds ratios (ORs). A p -value < 0.05 was considered statistically significant. The study population included 60 hospitalized persons with a mean age of 64.4 years. Increased lactate dehydrogenase (LDH) (OR = 2.93; 95% CI = 0.82-10.42, p -value = 0.1) and increased creatine kinase (CK) (OR = 2.17; 95% CI = 0.63-7.46, p -value = 0.22) were related with increased probability of death. Moreover, a decreased number of lymphocytes was associated with increased mortality but with no statistical significance (OR = 0.40; 95% CI = 0.11-1.40, p -value = 0.15). The survival rate was higher for patients without comorbidities ( p = 0.045). These results could serve as a baseline and as a reference for healthcare personnel who provides services to hospitalized patients with COVID-19. Further studies should take into consideration the vaccination of the population as well as including more hospitals and patients.
Keyphrases
- healthcare
- sars cov
- coronavirus disease
- end stage renal disease
- ejection fraction
- newly diagnosed
- risk factors
- cardiovascular events
- mental health
- primary care
- emergency department
- prognostic factors
- cardiovascular disease
- type diabetes
- big data
- tyrosine kinase
- electronic health record
- deep learning
- tertiary care
- health insurance
- free survival
- adverse drug