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Pragmatic study of a thromboprophylaxis algorithm in critically ill patients with SARS-COV-2 infection

The optimal thromboprophylactic strategy for patients affected by Coronavirus disease 2019 (COVID-19) has been debated among experts. This study evaluated the safety and efficacy of a thromboprophylaxis algorithm. This was a retrospective, single-center study in critically ill patients admitted to t...

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Autores principales: Fattorutto, Maurizio, Bouckaert, Yves, Brauner, Jonathan, Franck, Stéphane, Bouton, Fabrice, Heuse, Danielle, Bouckaert, Charlotte, Bruyneel, Arnaud
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8233177/
https://www.ncbi.nlm.nih.gov/pubmed/34173169
http://dx.doi.org/10.1007/s11239-021-02514-3
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author Fattorutto, Maurizio
Bouckaert, Yves
Brauner, Jonathan
Franck, Stéphane
Bouton, Fabrice
Heuse, Danielle
Bouckaert, Charlotte
Bruyneel, Arnaud
author_facet Fattorutto, Maurizio
Bouckaert, Yves
Brauner, Jonathan
Franck, Stéphane
Bouton, Fabrice
Heuse, Danielle
Bouckaert, Charlotte
Bruyneel, Arnaud
author_sort Fattorutto, Maurizio
collection PubMed
description The optimal thromboprophylactic strategy for patients affected by Coronavirus disease 2019 (COVID-19) has been debated among experts. This study evaluated the safety and efficacy of a thromboprophylaxis algorithm. This was a retrospective, single-center study in critically ill patients admitted to the intensive care unit (University affiliated Hospital) for acute respiratory failure due to Severe Acute Respiratory Syndrome-Coronavirus 2 (SARS-CoV-2). From March 16 to April 9, 2020, thromboprophylaxis was adjusted according to weight (control group, n = 19) and after this date, thromboprophylaxis depended on an algorithm based on thrombotic and hemorrhagic risk factors (protocol group, n = 13). With regard to safety (number of major bleeding events and blood transfusions), the groups were not significantly different. With regard to efficacy, the number of thrombotic events decreased from 37 to 0%, p = 0.025 after implementation of the algorithm. Also, peak fibrinogen dropped from 8.6 (7.2–9.3) to 6.5 (4.6–8.4) g/L, p = 0.041 and D-dimers from 2194 (1464–3763) to 1486 (900–2582) ng/mL, p = 0.0001. In addition, length of stay declined from 19 (10–31) to 5 (3–19) days, p = 0.009. In conclusion, a tailored thromboprophylaxis algorithm (risk stratification based on clinical parameters and biological markers) reduce thrombotic phenomena in critically ill COVID-19 patients without increasing major bleeding. SUPPLEMENTARY INFORMATION: The online version of this article (10.1007/s11239-021-02514-3) contains supplementary material, which is available to authorized users.
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spelling pubmed-82331772021-06-28 Pragmatic study of a thromboprophylaxis algorithm in critically ill patients with SARS-COV-2 infection Fattorutto, Maurizio Bouckaert, Yves Brauner, Jonathan Franck, Stéphane Bouton, Fabrice Heuse, Danielle Bouckaert, Charlotte Bruyneel, Arnaud J Thromb Thrombolysis Article The optimal thromboprophylactic strategy for patients affected by Coronavirus disease 2019 (COVID-19) has been debated among experts. This study evaluated the safety and efficacy of a thromboprophylaxis algorithm. This was a retrospective, single-center study in critically ill patients admitted to the intensive care unit (University affiliated Hospital) for acute respiratory failure due to Severe Acute Respiratory Syndrome-Coronavirus 2 (SARS-CoV-2). From March 16 to April 9, 2020, thromboprophylaxis was adjusted according to weight (control group, n = 19) and after this date, thromboprophylaxis depended on an algorithm based on thrombotic and hemorrhagic risk factors (protocol group, n = 13). With regard to safety (number of major bleeding events and blood transfusions), the groups were not significantly different. With regard to efficacy, the number of thrombotic events decreased from 37 to 0%, p = 0.025 after implementation of the algorithm. Also, peak fibrinogen dropped from 8.6 (7.2–9.3) to 6.5 (4.6–8.4) g/L, p = 0.041 and D-dimers from 2194 (1464–3763) to 1486 (900–2582) ng/mL, p = 0.0001. In addition, length of stay declined from 19 (10–31) to 5 (3–19) days, p = 0.009. In conclusion, a tailored thromboprophylaxis algorithm (risk stratification based on clinical parameters and biological markers) reduce thrombotic phenomena in critically ill COVID-19 patients without increasing major bleeding. SUPPLEMENTARY INFORMATION: The online version of this article (10.1007/s11239-021-02514-3) contains supplementary material, which is available to authorized users. Springer US 2021-06-26 2022 /pmc/articles/PMC8233177/ /pubmed/34173169 http://dx.doi.org/10.1007/s11239-021-02514-3 Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Fattorutto, Maurizio
Bouckaert, Yves
Brauner, Jonathan
Franck, Stéphane
Bouton, Fabrice
Heuse, Danielle
Bouckaert, Charlotte
Bruyneel, Arnaud
Pragmatic study of a thromboprophylaxis algorithm in critically ill patients with SARS-COV-2 infection
title Pragmatic study of a thromboprophylaxis algorithm in critically ill patients with SARS-COV-2 infection
title_full Pragmatic study of a thromboprophylaxis algorithm in critically ill patients with SARS-COV-2 infection
title_fullStr Pragmatic study of a thromboprophylaxis algorithm in critically ill patients with SARS-COV-2 infection
title_full_unstemmed Pragmatic study of a thromboprophylaxis algorithm in critically ill patients with SARS-COV-2 infection
title_short Pragmatic study of a thromboprophylaxis algorithm in critically ill patients with SARS-COV-2 infection
title_sort pragmatic study of a thromboprophylaxis algorithm in critically ill patients with sars-cov-2 infection
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8233177/
https://www.ncbi.nlm.nih.gov/pubmed/34173169
http://dx.doi.org/10.1007/s11239-021-02514-3
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