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Risk Factors and Prediction Models for Venous Thromboembolism in Ambulatory Patients with Lung Cancer
Venous thromboembolism (VTE) is a significant cause of mortality in patients with lung cancer. Despite the availability of a wide range of anticoagulants to help prevent thrombosis, thromboprophylaxis in ambulatory patients is a challenge due to its associated risk of haemorrhage. As a result, antic...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8233898/ https://www.ncbi.nlm.nih.gov/pubmed/34205695 http://dx.doi.org/10.3390/healthcare9060778 |
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author | Yan, Ann-Rong Samarawickrema, Indira Naunton, Mark Peterson, Gregory M. Yip, Desmond De Rosa, Salvatore Mortazavi, Reza |
author_facet | Yan, Ann-Rong Samarawickrema, Indira Naunton, Mark Peterson, Gregory M. Yip, Desmond De Rosa, Salvatore Mortazavi, Reza |
author_sort | Yan, Ann-Rong |
collection | PubMed |
description | Venous thromboembolism (VTE) is a significant cause of mortality in patients with lung cancer. Despite the availability of a wide range of anticoagulants to help prevent thrombosis, thromboprophylaxis in ambulatory patients is a challenge due to its associated risk of haemorrhage. As a result, anticoagulation is only recommended in patients with a relatively high risk of VTE. Efforts have been made to develop predictive models for VTE risk assessment in cancer patients, but the availability of a reliable predictive model for ambulate patients with lung cancer is unclear. We have analysed the latest information on this topic, with a focus on the lung cancer-related risk factors for VTE, and risk prediction models developed and validated in this group of patients. The existing risk models, such as the Khorana score, the PROTECHT score and the CONKO score, have shown poor performance in external validations, failing to identify many high-risk individuals. Some of the newly developed and updated models may be promising, but their further validation is needed. |
format | Online Article Text |
id | pubmed-8233898 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-82338982021-06-27 Risk Factors and Prediction Models for Venous Thromboembolism in Ambulatory Patients with Lung Cancer Yan, Ann-Rong Samarawickrema, Indira Naunton, Mark Peterson, Gregory M. Yip, Desmond De Rosa, Salvatore Mortazavi, Reza Healthcare (Basel) Review Venous thromboembolism (VTE) is a significant cause of mortality in patients with lung cancer. Despite the availability of a wide range of anticoagulants to help prevent thrombosis, thromboprophylaxis in ambulatory patients is a challenge due to its associated risk of haemorrhage. As a result, anticoagulation is only recommended in patients with a relatively high risk of VTE. Efforts have been made to develop predictive models for VTE risk assessment in cancer patients, but the availability of a reliable predictive model for ambulate patients with lung cancer is unclear. We have analysed the latest information on this topic, with a focus on the lung cancer-related risk factors for VTE, and risk prediction models developed and validated in this group of patients. The existing risk models, such as the Khorana score, the PROTECHT score and the CONKO score, have shown poor performance in external validations, failing to identify many high-risk individuals. Some of the newly developed and updated models may be promising, but their further validation is needed. MDPI 2021-06-21 /pmc/articles/PMC8233898/ /pubmed/34205695 http://dx.doi.org/10.3390/healthcare9060778 Text en © 2021 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 Yan, Ann-Rong Samarawickrema, Indira Naunton, Mark Peterson, Gregory M. Yip, Desmond De Rosa, Salvatore Mortazavi, Reza Risk Factors and Prediction Models for Venous Thromboembolism in Ambulatory Patients with Lung Cancer |
title | Risk Factors and Prediction Models for Venous Thromboembolism in Ambulatory Patients with Lung Cancer |
title_full | Risk Factors and Prediction Models for Venous Thromboembolism in Ambulatory Patients with Lung Cancer |
title_fullStr | Risk Factors and Prediction Models for Venous Thromboembolism in Ambulatory Patients with Lung Cancer |
title_full_unstemmed | Risk Factors and Prediction Models for Venous Thromboembolism in Ambulatory Patients with Lung Cancer |
title_short | Risk Factors and Prediction Models for Venous Thromboembolism in Ambulatory Patients with Lung Cancer |
title_sort | risk factors and prediction models for venous thromboembolism in ambulatory patients with lung cancer |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8233898/ https://www.ncbi.nlm.nih.gov/pubmed/34205695 http://dx.doi.org/10.3390/healthcare9060778 |
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