Development and validation of a predictive score for venous thromboembolism in newly diagnosed non-small cell lung cancer
Development and validation of a predictive score for venous thromboembolism in newly diagnosed non-small cell lung cancer
复制标题
新诊断非小细胞肺癌静脉血栓栓塞预测评分的开发和验证
DOI：
10.1016/j.thromres.2021.10.013
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发表时间：
2021-10-22
影响因子：
7.5
通讯作者：
Zhang, Yuhui
中科院分区：
文献类型：
--
作者：
Li, Jie;Yi, Jiawen;Zhang, Yuhui
Introduction: The risk of venous thromboembolism (VTE) varies among tumour types, and different cancer type-specific risks for VTE prediction remain undefined. We aimed to establish a prediction model for non-small lung cancer (NSCLC)-associated VTE.Materials and methods: We analysed data from a prospective cohort of patients with newly diagnosed NSCLC. We then developed a VTE risk prediction model using data of patients who were recruited from 2013 to 2017 (n = 602, development cohort) and validated this model using date of patients recruited from 2018 to 2019 (n = 412, validation cohort). The cumulative 6 months VTE incidence observed in both cohorts was calculated.Results: The parameters in this new model included Eastern Cooperative Oncology Group (ECOG) performance status >2 (1 point), EGFR mutation (-1 point), neutrophil count >= 7.5 x 10(9)/L (2 points), hemoglobin = 5.0 ng/mL (2 points), and D-dimer level >= 1400 ng/mL (4 points). The cross-validated concordance indices of the model in the development and validation cohorts were 0.779 and 0.853, respectively. Furthermore, the areas under the curve in the two cohorts were 0.7563 (95% confidence interval [CI]: 0.6856-0.8129, P < 0.001) and 0.8211 (95% CI: 0.7451-0.8765, P < 0.001) for development and validation cohorts, respectively.Conclusions: The new VTE risk prediction model incorporated patient characteristics, laboratory values, and oncogenic status, and was able to stratify patients at high risk of VTE in newly diagnosed NSCLC within 6 months of diagnosis.
