在中国患有高血压的患者中,使用名录模型预测非滴血血压模式
Dandan Sun1, Zhihua Li1, Guomei Xu1
1Department of Cardiology, Affiliated Hospital of Jining Medical University, Jining, China.
Frontiers in physiology
|August 8, 2024
概括
一个新的诺莫格拉姆模型有效地预测高血压患者的非血压模式,使用年龄,性别,血红蛋白,eGFR,射出分数和心率. 这种工具有助于管理与高血压相关的心血管风险.
科学领域:
- 心脏病学 心脏病学
- 腎臟病學 (nephrology) 是一種醫學專業.
- 高血压研究 高血压研究
背景情况:
- 非滴血血压与高血压个体的不良心血管结果和认知衰退有关.
- 关于非滴血血压的预测模型的研究有限,这阻碍了主动管理.
研究的目的:
- 开发和验证一种简单,实用的名图,用于预测高血压患者的血压状况.
- 为了确定影响子血压模式的关键因素.
主要方法:
- 使用来自356名高血压住院患者的数据构建了一个名录预测模型.
- 后勤回归确定了影响因素;使用ROC曲线和AUC评估模型性能.
- 该模型包括年龄,性别,血红蛋白 (Hb),估计的膜过率 (eGFR),射出分数 (EF) 和心率.
主要成果:
- 在训练队列中,名图实现了0.860的AUC.
- 根据年龄,Hb,eGFR,EF和心率来确定最佳切线值.
- 该模型表现出了对子血压模式的良好预测性能.
结论:
- 开发的诺米图是一种简单,实惠和可实施的工具,用于预测中国高血压患者的血压模式.
- 这种工具可以帮助临床医生识别有风险的患者并定制干预措施.
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