在骨折患者手术后预测深静脉血栓形成风险的诺莫格拉姆模型
Ruting Bo1, Xiaoyu Chen1, Xiuwei Zheng2
1Department of Ultrasound, Tianjin Hospital, Tianjin Hexi District Jiefangnan Road, Tianjin, 300211 China.
Indian journal of orthopaedics
|February 5, 2024
概括
一个新的诺莫格拉姆模型准确地预测了骨折患者的深静脉血栓形成 (DVT) 风险. 与现有方法相比,该工具提供了更好的风险分层,有助于在手术后更好地管理患者.
科学领域:
- 整形外科手术 整形外科手术
- 血管医学 血管医学
- 医疗信息学 医疗信息学
背景情况:
- 深静脉血栓症 (DVT) 是骨折手术后的一种严重并发症.
- 准确预测DVT风险对于有效的预防策略至关重要.
研究的目的:
- 开发和验证一个名录模型,用于预测骨骨折患者手术后DVT风险.
- 为了比较小说名录的预测性能与已建立的卡普里尼分数.
主要方法:
- 一组504名关节骨折患者被分为训练和验证组.
- 单变量和多变量分析确定了关键的DVT风险因素.
- 使用预测因素构建了一个名图:年龄,手术方法,术后D-二次体和入院超声检查结果.
主要成果:
- 纳米图包括年龄,手术方法,1天的术后D-模和入院超声波.
- 与卡普里尼得分 (AUC 0.659) 相比,诺莫图表显示出更高的预测性能 (AUC 0.815).
- 校准图表显示,预测和实际DVT风险之间有很好的一致性.
结论:
- 开发的诺米图是量化骨骨折患者手术后DVT风险的可靠工具.
- 该模型为风险分层和管理决策提供了增强的临床实用性.
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