Yan Ann-Rong, Samarawickrema Indira, Naunton Mark, Peterson Gregory M, Yip Desmond, De Rosa Salvatore, Mortazavi Reza
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.
Healthcare (Basel). 2021 Jun 21;9(6):778. doi: 10.3390/healthcare9060778.
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.
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。