基于生物标志物对H型高血压患者缺血性中风的预测
Ke Chen1, Jianxun He1, Lan Fu2
1Department of Clinical Laboratory, Beijing Anzhen Hospital, Capital Medical University, Anzhen Road No. 2, Chaoyang District, Beijing, 100029, China.
Scientific reports
|January 8, 2025
概括
一种新的生物标志物模型准确地预测了患有高血糖质血症类型高血压的患者的缺血性中风风险. 该工具有助于临床医生识别有针对性的干预措施的高风险个体.
科学领域:
- 心血管医学 心血管医学
- 神经学 神经学
- 生物标志物研究 生物标志物研究
背景情况:
- 高血压和高血血是缺血性中风的重要危险因素.
- 识别高风险的患有高血压 (H型) 高血压的患者对于预防中风至关重要.
研究的目的:
- 开发和验证一种基于生物标志物的预测模型,用于H型高血压患者的缺血性中风.
- 用机器学习算法和外部验证来评估模型的预测性能.
主要方法:
- 对3305名患者进行模型开发和103名患者进行外部验证后期分析.
- 使用后勤回归,LASSO,最佳子集选择和四个机器学习算法.
- 使用曲线下面面积 (AUC),校准图和决策曲线分析评估模型性能.
主要成果:
- 最终的模型,A2BC缺血性中风模型,包括8个预测因素:年龄,抗高血压疗法,血清,血清,蛋白尿,过敏C反应蛋白,心房动和高脂血症.
- 取得了良好的区分和校准,AUC为0.91 (内部) 和0.87 (外部).
- 在开发和验证队伍中表现出令人满意的预测性能.
结论:
- A2BC缺血性中风模型有效预测H型高血压患者缺血性中风风险.
- 这个模型可以帮助临床医生准确地分层风险和个性化管理策略.
- 生物标志物和并发症评估对于预测这种患者群体中缺血性中风至关重要.
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