Ontology highlight
ABSTRACT: Background
Cardiovascular risk factors and comorbidities are highly prevalent among COVID-19 patients and are associated with worse outcomes.Hypothesis
We therefore investigated if established cardiovascular risk assessment models could efficiently predict adverse outcomes in COVID-19. Furthermore, we aimed to generate novel risk scores including various cardiovascular parameters for prediction of short- and midterm outcomes in COVID-19.Methods
We included 441 consecutive patients diagnosed with SARS-CoV-2 infection. Patients were followed-up for 30 days after the hospital admission for all-cause mortality (ACM), venous/arterial thromboembolism, and mechanical ventilation. We further followed up the patients for post-COVID-19 syndrome for 6 months and occurrence of
SUBMITTER: Zdanyte M
PROVIDER: S-EPMC9350294 | biostudies-literature | 2022 Sep
REPOSITORIES: biostudies-literature