中国癌症防治杂志2026，Vol.18Issue(1)：115-121,7.DOI:10.3969/j.issn.1674-5671.2026.01.14
结直肠癌术后静脉血栓栓塞症风险预测模型研究进展
Research advances in risk prediction models for venous thromboembolism following colorectal cancer surgery
摘要
Abstract
Venous thromboembolism(VTE)constitutes a severe postoperative complication of colorectal cancer(CRC),significantly increases patient mortality and healthcare burden.In China,the incidence of post-CRC VTE reaches 11.2%within one month,while adherence to guideline-compliant prophylaxis rates remains low at 10.3%.This highlights the critical need for precise risk assessment tools.While widely utilized generic models such as Caprini may lack CRC specificity,and the Khorana score shows moderate discrimination(C-statistic 0.7),emerging CRC-specific models(e.g.,CRC-VTE score,AUC 0.72)and machine learning approaches(e.g.,XGBoost,AUC up to 0.908)demonstrate better performance.Nonetheless,the majority of these models are derived from single-center retrospective data,which limits their generalizability.Consequently,there is a pressing necessity to develop and validate the dynamic population-tailored prediction models to optimize perioperative VTE prevention and reduce related morbidity and mortality.This review systemati-cally examines the risk factors associated with VTE formation following CRC surgery,synthesizes research progress and clinical applications of predictive models,aims to provide evidence-based support for optimizing perioperative VTE prevention and treatment strategies in CRC.关键词
结直肠癌/静脉血栓栓塞症/风险预测模型/危险因素/机器学习Key words
Colorectal cancer/Venous thromboembolism/Risk prediction model/Risk factors/Machine learning分类
医药卫生引用本文复制引用
刘丹,周斌,施云杰,钱懿轶..结直肠癌术后静脉血栓栓塞症风险预测模型研究进展[J].中国癌症防治杂志,2026,18(1):115-121,7.基金项目
昆明医科大学一流学科团队建设项目(2024XKTDPY21) （2024XKTDPY21）
