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门诊肺癌患者静脉血栓栓塞的危险因素及预测模型

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

作者信息

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

机构信息

School of Health Sciences, Faculty of Health, University of Canberra, Canberra 2617, Australia.

School of Nursing, Midwifery and Public Health, Faculty of Health, University of Canberra, Canberra 2617, Australia.

出版信息

Healthcare (Basel). 2021 Jun 21;9(6):778. doi: 10.3390/healthcare9060778.

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.

摘要

静脉血栓栓塞症(VTE)是肺癌患者死亡的重要原因。尽管有多种抗凝剂可用于预防血栓形成,但由于存在出血风险,门诊患者的血栓预防仍是一项挑战。因此,仅建议VTE风险相对较高的患者进行抗凝治疗。人们已努力开发用于评估癌症患者VTE风险的预测模型,但对于门诊肺癌患者而言,尚不清楚是否有可靠的预测模型。我们分析了该主题的最新信息,重点关注与肺癌相关的VTE风险因素以及在这类患者中开发和验证的风险预测模型。现有的风险模型,如科拉纳评分、PROTECHT评分和CONKO评分,在外部验证中表现不佳,未能识别出许多高危个体。一些新开发和更新的模型可能很有前景,但还需要进一步验证。

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本文引用的文献

1
Direct Oral Anticoagulants in Patients With Active Cancer: A Systematic Review and Meta-Analysis.
JACC CardioOncol. 2020 Jul 6;2(3):428-440. doi: 10.1016/j.jaccao.2020.06.001. eCollection 2020 Sep.
2
High discrepancy in thrombotic events in non-small cell lung cancer patients with different genomic alterations.
Transl Lung Cancer Res. 2021 Mar;10(3):1512-1524. doi: 10.21037/tlcr-20-1290.
3
4
Update on Guidelines for the Management of Cancer-Associated Thrombosis.
Oncologist. 2021 Jan;26(1):e24-e40. doi: 10.1002/onco.13596. Epub 2020 Dec 4.
7
Platelets in aging and cancer-"double-edged sword".
Cancer Metastasis Rev. 2020 Dec;39(4):1205-1221. doi: 10.1007/s10555-020-09926-2. Epub 2020 Sep 1.
8
Overview of risk assessment models for venous thromboembolism in ambulatory patients with cancer.
Thromb Res. 2020 Jul;191 Suppl 1:S50-S57. doi: 10.1016/S0049-3848(20)30397-2.
9
Artificial neural networks for prediction of recurrent venous thromboembolism.
Int J Med Inform. 2020 Sep;141:104221. doi: 10.1016/j.ijmedinf.2020.104221. Epub 2020 Jun 18.
10
Impact of ALK Rearrangement on Venous and Arterial Thrombotic Risk in NSCLC.
J Thorac Oncol. 2020 Sep;15(9):1497-1506. doi: 10.1016/j.jtho.2020.04.033. Epub 2020 May 11.

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