在老年关节骨折患者中优化术前静脉血栓栓塞风险评估:精细的卡普里尼模型整合D-Dimer和受伤至入院时间
Yi-Feng Guo1,2, Dingding Zhang3, Aimin Guo4
1Department of Orthopedic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
概括
对骨折患者优化卡普里尼风险评估模型 (RAM) 改善了静脉血栓塞栓症 (VTE) 的预测. 整合D-模和入院时间可以提高准确性,帮助临床决策.
科学领域:
- 整形外科 整形外科 整形外科
- 血管外科 血管外科
- 医学诊断 医学诊断 医学诊断
背景情况:
- 卡普里尼风险评估模型 (RAM) 是静脉血栓塞栓症 (VTE) 风险评估的标准.
- 骨折患者可能需要对原始的Caprini RAM进行修改,以提高VTE预测的准确性.
研究的目的:
- 为了改进Caprini RAM用于老年关节骨折患者.
- 通过整合D-二次体水平和伤害到入院的时间来提高VTE预测.
主要方法:
- 对1114名老年关节骨折患者进行了回顾性队列研究.
- 开发了一个修改后的VTE预测模型,将D-二次元和伤害到入院时间集成到Caprini RAM中.
- 使用灵敏度,特异性和曲线下的面积 (AUC) 评估预测性能.
主要成果:
- 修订后的卡普里尼模型将患者分为三个风险级别 (14.0%,24.0%,39.4%).
- 综合伤害到入院时间的修改模型将AUC提高到0.649.
- 将卡普里尼得分与延迟入院的D-二次数结合起来,AUC为0.681,超过了单独的卡普里尼 (0.552).
结论:
- 重新分类卡普里尼得分改善了老年骨折患者的手术前静脉瘤分层.
- 整合受伤到入院的时间和D-二次数水平提高了卡普里尼模型的预测性能.
- 建议对D-二次体采样时间进行标准化,以减少变异性.
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