A novel evidence-based algorithm to predict thromboembolism in patients with COVID-19: preliminary data from a single-center cohort.
Minerva Med
; 113(4): 695-706, 2022 Aug.
Article
in English
| MEDLINE | ID: covidwho-1975625
ABSTRACT
BACKGROUND:
Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2)-related disease (COVID-19) is an infectious disease characterized by systemic inflammation, which might enhance baseline thrombotic risk, especially in hospitalized patients. Little is, however, known about predictors of thrombotic complications in patients with COVID-19.METHODS:
We prospectively followed up 180 hospitalized COVID-19 patients. Demographics, clinical and laboratory features at presentation and past medical history were tested as predictors of the first thrombotic complication through multivariate Cox regression analysis and a categorical score generated based on the results.RESULTS:
Sixty-four thromboses were recorded in 54 patients, of whom seven with thrombosis on admission and 47 with thrombosis during hospitalization. Patients with thrombosis were mainly Caucasian and diabetic, had marked baseline signs of inflammation and organ damage, lower PaOCONCLUSIONS:
Patients with COVID-19 are at increased risk for thrombosis and might be stratified on admission based on lower Pao2/FiO2 ratio, higher D-dimer levels and history of major hemorrhages.
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Thromboembolism
/
Thrombosis
/
COVID-19
Type of study:
Cohort study
/
Observational study
/
Prognostic study
Topics:
Long Covid
Limits:
Humans
Language:
English
Journal:
Minerva Med
Year:
2022
Document Type:
Article
Affiliation country:
S0026-4806.21.07331-6
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