在同时多中心初级肺癌中构建和验证静脉血栓栓塞后VATS风险预测模型
Lili Tang1, Kai Wang1, Huanzhi Peng1
1Department of Thoracic Surgery, The Second Affiliated Hospital of Army Medical University, Chongqing, China.
Journal of thoracic disease
|September 15, 2025
概括
这项研究开发了一种新的风险预测模型,用于同步多重原发性肺癌 (sMPLC) 患者的静脉血栓栓塞 (VTE) 风险预测,这些患者接受了视频辅助胸腔镜手术 (VATS). 该模型准确地识别了早期干预的高风险患者.
科学领域:
- 胸部外科手术 胸部外科手术
- 在瘤学瘤学.
- 血管医学 血管医学
背景情况:
- 同步多重原发性肺癌 (sMPLCs) 占肺癌诊断的很大一部分.
- 静脉血栓栓塞 (VTE) 是视频辅助胸腔镜手术 (VATS) 后的一个关键并发症.
- 目前还没有在接受VATS的sMPLC患者中预测VTE的特定风险模型.
研究的目的:
- 开发和验证一种新的VTE风险预测模型.
- 为接受VATS的sMPLC患者量身定制模型.
- 为了促进高风险患者的早期识别和干预.
主要方法:
- 肺癌切除患者的回顾性队列分析.
- 使用医院信息系统,电话跟踪和电子问卷.
- 使用LASSO回归和后勤回归用于风险因素识别和模型构建.
主要成果:
- 确定了关键的风险因素,包括年龄,吸烟史,并发症 (CAD,CVD,COPD),动脉样斑块,手术方法,输血,卡普里尼得分和病变数量.
- 开发的模型表现出高分辨能力,AUC为0.917.
- 该模型与现有的卡普里尼评分相比,显示出更高的临床效用.
结论:
- 经过验证的VTE风险预测模型为sMPLC患者在VATS后提供了强大的性能.
- 为临床医生提供了一种有价值的工具,以早期识别有风险的患者.
- 能够及时进行干预,以缓解静脉瘤并发症.
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