Year: 2021
Type: article
Abstract: Coagulopathy and thromboembolism are known complications of SARS-CoV-2 infection. The mechanisms of COVID-19-associated hematologic complications involve endothelial cell and platelet dysfunction and have been intensively studied. We leveraged a prospectively collected acute COVID-19 biorepository to study the association of plasma levels of a comprehensive list of coagulation proteins with the occurrence of venous thromboembolic events (VTE). We included in our analysis 305 subjects with confirmed SARS-CoV-2 infection who presented to an urban Emergency Department with acute respiratory distress during the first COVID-19 surge in 2020; 13 (4.2%) were subsequently diagnosed with venous thromboembolism during hospitalization. Serial samples were obtained and assays were performed on two highly-multiplexed proteomic platforms. Nine coagulation proteins were differentially expressed in patients with thromboembolic events. P-selectin, a cell adhesion molecule on the surface of activated endothelial cells, displayed the strongest association with the diagnosis of VTE, independent of disease severity (p=0.0025). This supports the importance of endothelial activation in the mechanistic pathway of venous thromboembolism in COVID-19. P-selectin together with D-dimer upon hospital presentation provided better discriminative ability for VTE diagnosis than D-dimer alone.
Source: American Journal of Hematology
DOI: 10.1002/ajh.26372
Authors: Bánk G. Fenyves, Arnav Mehta, MGH COVID‐19 Collection & Processing Team, Kyle R. Kays, Caroline Beakes, Justin Margolin, Marcia B. Goldberg, Nir Hacohen, Michael R. Filbin
Language: English
Subfield: Infectious Diseases
Field: Medicine
Domain: Health Sciences
Open Access status: bronze
Awards: The Harvard Clinical and Translational Science Center, G3094399639, G50699739, G5514976981, G9000178764, Durable Alteration of the Human Immune system after Infection or Immunotherapy, Training Program in Cancer Biology and Therapeutics, Single-cell genomic profiling to identify immune signatures of bacterial sepsis in humans
OpenAlex ID: W3203717433
