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ABSTRACT: Background
Pulmonary embolism (PE) is an important complication of Coronavirus disease 2019 (COVID-19). COVID-19 is associated with respiratory impairment and a pro-coagulative state, rendering PE more likely and difficult to recognize. Several decision algorithms relying on clinical features and D-dimer have been established. High prevalence of PE and elevated Ddimer in patients with COVID-19 might impair the performance of common decision algorithms. Here, we aimed to validate and compare five common decision algorithms implementing age adjusted Ddimer, the GENEVA, and Wells scores as well as the PEGeD- and YEARS-algorithms in patients hospitalized with COVID-19.Methods
In this single center study, we included patients who were admitted to our tertiary care hospital in th
SUBMITTER: Vielhauer J
PROVIDER: S-EPMC10153021 | biostudies-literature | 2023 May
REPOSITORIES: biostudies-literature