为急性缺血性中风患者构建和验证预测模型,同时进行深静脉血栓形成
Medicine
|December 10, 2024
概括
这项研究确定了急性缺血性中风 (AIS) 患者深静脉血栓症 (DVT) 的关键风险因素. 一个预测模型有助于识别高风险个体,以便进行早期干预和改善结果.
科学领域:
- 神经学 神经学
- 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) 是急性缺血性中风 (AIS) 患者的一个重要并发症.
- 在AIS患者中确定DVT的独立风险因素对于及时干预和预防不良结果至关重要.
- 预测模型可以帮助临床医生分层风险并优化患者管理.
研究的目的:
- 在被诊断为AIS的患者中调查DVT并发症的独立风险因素.
- 开发和验证在AIS患者中进行DVT的诺莫格拉姆预测模型.
主要方法:
- 在2021年1月至2023年12月期间入院的527名AIS患者的回顾性分析.
- 单变量和多变量逻辑回归分析以确定DVT的独立风险因素.
- 使用接收机操作特征 (ROC) 曲线,校准和决策曲线构建和评估一个名ogram.
主要成果:
- 在AIS患者中,DVT的发病率为7.97% (527例中42例).
- 在AIS患者中确定了五种DVT的独立风险因素:年龄>70岁,糖尿病,NIH中风量级得分>16,D-二次数>0.5 mg/L,纤维原>4 g/L.
- 开发的名图表显示了在AIS患者中对DVT的良好预测准确性.
结论:
- 年龄,糖尿病,中风严重程度,D-二次体和纤维素水平是AIS患者DVT的重要独立风险因素.
- 已建立的名图为预测AIS患者DVT风险提供了有价值的工具.
- 这种模型可以帮助医生在高风险的AIS患者的早期鉴定和干预,从而有可能改善临床结果.
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