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The Composition and Physical Properties of Clots in COVID-19 Pathology

Hemostasis is a finely tuned process of which dysregulation can lead either to bleeding or thrombotic complications. The latter is often caused by the hypercoagulable state as it is also seen in patients with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, i.e., in COVID-19 p...

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Autores principales: Dauwerse, Sierk, ten Cate, Hugo, Spronk, Henri M. H., Nagy, Magdolna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8947364/
https://www.ncbi.nlm.nih.gov/pubmed/35328132
http://dx.doi.org/10.3390/diagnostics12030580
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author Dauwerse, Sierk
ten Cate, Hugo
Spronk, Henri M. H.
Nagy, Magdolna
author_facet Dauwerse, Sierk
ten Cate, Hugo
Spronk, Henri M. H.
Nagy, Magdolna
author_sort Dauwerse, Sierk
collection PubMed
description Hemostasis is a finely tuned process of which dysregulation can lead either to bleeding or thrombotic complications. The latter is often caused by the hypercoagulable state as it is also seen in patients with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, i.e., in COVID-19 patients. COVID-19 patients requiring hospitalization often suffer from thrombotic events that could not be predicted using routine coagulation assays. Recently, several studies have reported ROtational ThromboElastoMetry (ROTEM) as a promising tool to predict outcomes in COVID-19 patients. In this review we give an overview of ROTEM with a particular focus on the interpretation of the symmetrical clot formation curve in relation to coagulopathy in COVID-19 patients. Furthermore, we have introduced new parameters that might help to better distinguish between COVID-19 patients and outcomes.
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spelling pubmed-89473642022-03-25 The Composition and Physical Properties of Clots in COVID-19 Pathology Dauwerse, Sierk ten Cate, Hugo Spronk, Henri M. H. Nagy, Magdolna Diagnostics (Basel) Review Hemostasis is a finely tuned process of which dysregulation can lead either to bleeding or thrombotic complications. The latter is often caused by the hypercoagulable state as it is also seen in patients with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, i.e., in COVID-19 patients. COVID-19 patients requiring hospitalization often suffer from thrombotic events that could not be predicted using routine coagulation assays. Recently, several studies have reported ROtational ThromboElastoMetry (ROTEM) as a promising tool to predict outcomes in COVID-19 patients. In this review we give an overview of ROTEM with a particular focus on the interpretation of the symmetrical clot formation curve in relation to coagulopathy in COVID-19 patients. Furthermore, we have introduced new parameters that might help to better distinguish between COVID-19 patients and outcomes. MDPI 2022-02-24 /pmc/articles/PMC8947364/ /pubmed/35328132 http://dx.doi.org/10.3390/diagnostics12030580 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Dauwerse, Sierk
ten Cate, Hugo
Spronk, Henri M. H.
Nagy, Magdolna
The Composition and Physical Properties of Clots in COVID-19 Pathology
title The Composition and Physical Properties of Clots in COVID-19 Pathology
title_full The Composition and Physical Properties of Clots in COVID-19 Pathology
title_fullStr The Composition and Physical Properties of Clots in COVID-19 Pathology
title_full_unstemmed The Composition and Physical Properties of Clots in COVID-19 Pathology
title_short The Composition and Physical Properties of Clots in COVID-19 Pathology
title_sort composition and physical properties of clots in covid-19 pathology
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8947364/
https://www.ncbi.nlm.nih.gov/pubmed/35328132
http://dx.doi.org/10.3390/diagnostics12030580
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