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

  • Ann Yan
  • , Indira Samarawickrema
  • , Mark Naunton
  • , Gregory M Peterson
  • , Desmond Yip
  • , Salvatore De Rosa
  • , Reza Mortazavi

Research output: Contribution to journalReview articlepeer-review

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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.
Original languageEnglish
Article number778
Pages (from-to)1-13
Number of pages13
JournalHealthcare
Volume9
Issue number6
DOIs
Publication statusPublished - 21 Jun 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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