Literature DB >> 34205695

Risk Factors and Prediction Models for Venous Thromboembolism in Ambulatory Patients with Lung Cancer.

Ann-Rong Yan1, Indira Samarawickrema2, Mark Naunton1, Gregory M Peterson1,3, Desmond Yip1,4,5, Salvatore De Rosa6, Reza Mortazavi1,7.   

Abstract

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.

Entities:  

Keywords:  anticoagulant; lung cancer; prediction rules; risk assessment; risk factors; risk model; risk prediction; thromboprophylaxis; venous thromboembolism

Year:  2021        PMID: 34205695     DOI: 10.3390/healthcare9060778

Source DB:  PubMed          Journal:  Healthcare (Basel)        ISSN: 2227-9032


  3 in total

1.  Arteriovenous thrombotic events in a patient with advanced lung cancer following bevacizumab plus chemotherapy: A case report.

Authors:  Ying Kong; Xiao-Cheng Xu; Liang Hong
Journal:  World J Clin Cases       Date:  2022-07-06       Impact factor: 1.534

2.  Models for predicting venous thromboembolism in ambulatory patients with lung cancer: a systematic review protocol.

Authors:  Ann-Rong Yan; Indira Samarawickrema; Mark Naunton; Gregory M Peterson; Desmond Yip; Reza Mortazavi
Journal:  BMJ Open       Date:  2021-12-01       Impact factor: 2.692

3.  Development and Validation of a Risk Prediction Model for Venous Thromboembolism in Lung Cancer Patients Using Machine Learning.

Authors:  Haike Lei; Mengyang Zhang; Zeyi Wu; Chun Liu; Xiaosheng Li; Wei Zhou; Bo Long; Jiayang Ma; Huiyi Zhang; Ying Wang; Guixue Wang; Mengchun Gong; Na Hong; Haixia Liu; Yongzhong Wu
Journal:  Front Cardiovasc Med       Date:  2022-03-07
  3 in total

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