临床严重程度和全身炎症指数作为肢体截肢后住院死亡率的预测指标:一项回顾性队列研究
Alim Namitokov1,2, Tarlan Bakhishev1,2, Roman Vinogradov1,2
1Scientific Research Institute, Regional Clinical Hospital #1 NA Prof. S.V. Ochapovsky, 1st May Street 167, 350086 Krasnodar, Russia.
Journal of clinical medicine
|November 27, 2025
概括
一个新的模型使用年龄,手术紧急性,血红蛋白和全身炎症反应指数 (SIRI) 预测肢体截肢后的医院死亡率. 这种工具有助于为接受截肢的高风险患者做出临床决策.
科学领域:
- 手术瘤学手术瘤学
- 关键护理医学 关键护理医学
- 预测分析是一种预测分析.
背景情况:
- 主要肢体截肢带有短期死亡的高风险.
- 现有的截肢手术前风险模型在实际应用中是有限的.
研究的目的:
- 为了确定容易获得的手术前预测器在肢体截肢后的住院死亡率.
- 开发一个紧的和临床上适用的截肢结果预测模型.
主要方法:
- 对184名经历肢体截肢的成年患者的回顾性分析.
- 包括人口统计,并发症,手术紧急情况,血红蛋白和炎症指数 (NLR,SIRI,MLR).
- 用于构建预测模型的多变量逻辑回归;通过AUC和校准评估性能.
主要成果:
- 在19.6%的患者中观察到住院死亡率.
- 确定了独立的预测因素:紧急手术,年龄,SIRI和血红蛋白.
- 开发的模型显示了良好的区分 (AUC = 0.80) 和可接受的校准.
结论:
- 使用年龄,手术紧迫性,血红蛋白和SIRI的术前模型可靠地分层截肢后的死亡风险.
- 已识别的预测因子很容易获得,从而使其在临床临床上得到实际使用.
- 建议对该模型进行进一步的前性多中心验证.
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