A Risk of Venous Thromboembolism Algorithm as a Predictor of Venous Thromboembolism in Patients with Colorectal Cancer

Cancer patients experience an increased risk of venous thromboembolism (VTE). In this study, we investigated a risk of venous thromboembolism algorithm (RVTA) in patients with colorectal cancer and evaluated its ability to predict the prognosis of colorectal cancer. We retrospectively analyzed clini...

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Autores principales:	Ying Chen MB, Yanchun Wang MD, Suhong Xie MM, Hui Zheng MD, Ying Tong MM, Xiang Gao MM, Renquan Lu MD, Lin Guo MD
Formato:	article
Lenguaje:	EN
Publicado:	SAGE Publishing 2021
Materias:	Diseases of the circulatory (Cardiovascular) system RC666-701
Acceso en línea:	https://doaj.org/article/0e16ba4fcaba472a8ae8dbfba07c1d98
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spelling	oai:doaj.org-article:0e16ba4fcaba472a8ae8dbfba07c1d982021-12-04T00:33:19ZA Risk of Venous Thromboembolism Algorithm as a Predictor of Venous Thromboembolism in Patients with Colorectal Cancer1938-272310.1177/10760296211064900https://doaj.org/article/0e16ba4fcaba472a8ae8dbfba07c1d982021-12-01T00:00:00Zhttps://doi.org/10.1177/10760296211064900https://doaj.org/toc/1938-2723Cancer patients experience an increased risk of venous thromboembolism (VTE). In this study, we investigated a risk of venous thromboembolism algorithm (RVTA) in patients with colorectal cancer and evaluated its ability to predict the prognosis of colorectal cancer. We retrospectively analyzed clinical data from 345 patients with colorectal cancer from January 2015 to December 2018 at the Shanghai Cancer Center to develop the RVTA. Additionally, the 345 patients were followed until December 2020 for prognostic analysis. The RVTA included the following variables: (a) platelet count, (b) blood transfusion history, (c) metastasis, (d) multiple chemotherapy regimens, and (e) the D-dimer level. Good predictive efficiency was observed for the RVTA (AUC was 0.825; 95% CI was 0.721 to 0.930). The median progression-free survival (PFS) of patients who had a score less than 4 (0-3), defined as the low-risk group, was significantly longer than that of the high-risk group, which included patients who had a score greater than 4 (4-8) (26 vs ten months, P < .001). The RVTA was a valuable predictor for VTE risk and had prognostic value in colorectal cancer.Ying Chen MBYanchun Wang MDSuhong Xie MMHui Zheng MDYing Tong MMXiang Gao MMRenquan Lu MDLin Guo MDSAGE PublishingarticleDiseases of the circulatory (Cardiovascular) systemRC666-701ENClinical and Applied Thrombosis/Hemostasis, Vol 27 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Diseases of the circulatory (Cardiovascular) system RC666-701
spellingShingle	Diseases of the circulatory (Cardiovascular) system RC666-701 Ying Chen MB Yanchun Wang MD Suhong Xie MM Hui Zheng MD Ying Tong MM Xiang Gao MM Renquan Lu MD Lin Guo MD A Risk of Venous Thromboembolism Algorithm as a Predictor of Venous Thromboembolism in Patients with Colorectal Cancer
description	Cancer patients experience an increased risk of venous thromboembolism (VTE). In this study, we investigated a risk of venous thromboembolism algorithm (RVTA) in patients with colorectal cancer and evaluated its ability to predict the prognosis of colorectal cancer. We retrospectively analyzed clinical data from 345 patients with colorectal cancer from January 2015 to December 2018 at the Shanghai Cancer Center to develop the RVTA. Additionally, the 345 patients were followed until December 2020 for prognostic analysis. The RVTA included the following variables: (a) platelet count, (b) blood transfusion history, (c) metastasis, (d) multiple chemotherapy regimens, and (e) the D-dimer level. Good predictive efficiency was observed for the RVTA (AUC was 0.825; 95% CI was 0.721 to 0.930). The median progression-free survival (PFS) of patients who had a score less than 4 (0-3), defined as the low-risk group, was significantly longer than that of the high-risk group, which included patients who had a score greater than 4 (4-8) (26 vs ten months, P < .001). The RVTA was a valuable predictor for VTE risk and had prognostic value in colorectal cancer.
format	article
author	Ying Chen MB Yanchun Wang MD Suhong Xie MM Hui Zheng MD Ying Tong MM Xiang Gao MM Renquan Lu MD Lin Guo MD
author_facet	Ying Chen MB Yanchun Wang MD Suhong Xie MM Hui Zheng MD Ying Tong MM Xiang Gao MM Renquan Lu MD Lin Guo MD
author_sort	Ying Chen MB
title	A Risk of Venous Thromboembolism Algorithm as a Predictor of Venous Thromboembolism in Patients with Colorectal Cancer
title_short	A Risk of Venous Thromboembolism Algorithm as a Predictor of Venous Thromboembolism in Patients with Colorectal Cancer
title_full	A Risk of Venous Thromboembolism Algorithm as a Predictor of Venous Thromboembolism in Patients with Colorectal Cancer
title_fullStr	A Risk of Venous Thromboembolism Algorithm as a Predictor of Venous Thromboembolism in Patients with Colorectal Cancer
title_full_unstemmed	A Risk of Venous Thromboembolism Algorithm as a Predictor of Venous Thromboembolism in Patients with Colorectal Cancer
title_sort	risk of venous thromboembolism algorithm as a predictor of venous thromboembolism in patients with colorectal cancer
publisher	SAGE Publishing
publishDate	2021
url	https://doaj.org/article/0e16ba4fcaba472a8ae8dbfba07c1d98
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A Risk of Venous Thromboembolism Algorithm as a Predictor of Venous Thromboembolism in Patients with Colorectal Cancer

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