在胸腔切除术和胸腔镜肺癌切除术后深静脉血栓形成的新型风险预测模型,涉及凝血和免疫功能
Jianhua Li1, Futao Zhang1, Xinyan Lan1
1Department of Thoracic Surgery, Chengyang District People's Hospital, Qingdao, Shandong, China.
Open life sciences
|May 30, 2023
概括
这项研究开发了手术后肺癌患者深静脉血栓 (DVT) 的风险预测模型. 模型确定了关键指标,以提高DVT预测准确性,用于胸腔镜和胸切除术肺癌切除.
科学领域:
- 医学研究 医学研究
- 在瘤学瘤学.
- 这是血管外科手术.
背景情况:
- 深静脉血栓症 (DVT) 是肺癌 (LC) 手术后的一个重大并发症.
- 预测DVT风险对于LC切除后的患者管理至关重要.
- 不同的外科手术方法 (胸腔镜与胸腔切除) 可能会影响DVT的发生率和预测.
研究的目的:
- 为了比较凝血,纤维溶解,血栓形成显微镜,应激反应和免疫功能对DVT发病率的预测值.
- 开发和验证在接受不同手术切除方法的肺癌患者中对DVT的风险预测模型.
主要方法:
- 一项前性,单中心的病例控制研究,涉及460名肺癌患者.
- 使用后勤回归和接收机操作员特征 (ROC) 分析来确定风险指标.
- 用两个队列 (测试和验证) 来开发和评估风险预测模型.
主要成果:
- 胸腔镜组 (18.7%) 的DVT发生率高于胸腔切除组 (11.2%).
- 为了预测胸腔切除后 (1天) 和胸腔切除后 (3天) 的DVT,我们得出了特定的模型.
- 这些模型包含了R值,K值,α角,MA,FIB,D-D,MDA,CD4+/CD8+和SOD等参数.
结论:
- 风险预测模型显著提高了肺癌患者DVT预测的准确性.
- 开发的模型在验证队列中表现出良好的预测性能.
- 这些模型可以帮助在肺癌手术后识别高风险DVT患者.
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