Navigation auf zora.uzh.ch

Search ZORA

ZORA (Zurich Open Repository and Archive)

Risk stratification of patients with SARS-CoV-2 by tissue factor expression in circulating extracellular vesicles

Abstract

Inflammatory response following SARS-CoV-2 infection results in substantial increase of amounts of intravascular pro-coagulant extracellular vesicles (EVs) expressing tissue factor (CD142) on their surface. CD142-EV turned out to be useful as diagnostic biomarker in COVID-19 patients. Here we aimed at studying the prognostic capacity of CD142-EV in SARS-CoV-2 infection. Expression of CD142-EV was evaluated in 261 subjects admitted to hospital for pneumonia and with a positive molecular test for SARS-CoV-2. The study population consisted of a discovery cohort of selected patients (n = 60) and an independent validation cohort including unselected consecutive enrolled patients (n = 201). CD142-EV levels were correlated with post-hospitalization course of the disease and compared to the clinically available 4C Mortality Score as referral. CD142-EV showed a reliable performance to predict patient prognosis in the discovery cohort (AUC = 0.906) with an accuracy of 81.7%, that was confirmed in the validation cohort (AUC = 0.736). Kaplan-Meier curves highlighted a high discrimination power in unselected subjects with CD142-EV being able to stratify the majority of patients according to their prognosis. We obtained a comparable accuracy, being not inferior in terms of prediction of patients' prognosis and risk of mortality, with 4C Mortality Score. The expression of surface vesicular CD142 and its reliability as prognostic marker was technically validated using different immunocapture strategies and assays. The detection of CD142 on EV surface gains considerable interest as risk stratification tool to support clinical decision making in COVID-19.

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:04 Faculty of Medicine > Center for Molecular Cardiology
Dewey Decimal Classification:570 Life sciences; biology
610 Medicine & health
Scopus Subject Areas:Life Sciences > Physiology
Life Sciences > Molecular Medicine
Life Sciences > Pharmacology
Uncontrolled Keywords:Pharmacology, Molecular Medicine, Physiology
Language:English
Date:August 2022
Deposited On:25 Jan 2024 13:22
Last Modified:27 Feb 2025 02:39
Publisher:Elsevier
ISSN:1537-1891
OA Status:Closed
Publisher DOI:https://doi.org/10.1016/j.vph.2022.106999
PubMed ID:35597450

Metadata Export

Statistics

Citations

Dimensions.ai Metrics
16 citations in Web of Science®
16 citations in Scopus®
Google Scholar™

Altmetrics

Downloads

1 download since deposited on 25 Jan 2024
0 downloads since 12 months
Detailed statistics

Authors, Affiliations, Collaborations

Similar Publications