在中国患者中开发一个名谱来识别患有正静性低血压风险的患者
Suli Zheng1,2,3,4, Min Pan1,2,3,4, Pingping Wu5
1Department of Geriatrics.
Blood pressure monitoring
|July 1, 2025
概括
这项研究确定了与正静性低血压相关的年龄和糖尿病持续时间等关键因素. 一个开发出来的名图有效地预测了患者这种疾病的风险.
科学领域:
- 心脏病学 心脏病学
- 内分泌学 在内分泌学.
- 老年病的医生 老年病的医生
背景情况:
- 静止性低血压 (OH) 是一个重要的临床问题,其特点是站立时血压下降.
- 确定OH的预测因素对于及时干预和管理至关重要.
研究的目的:
- 调查与静止性低血压相关的因素.
- 开发和验证一个预测性诺米克图对静止性低血压风险的预测.
主要方法:
- 对1708名患者进行了横截面分析.
- 最小绝对收缩和选择操作员 (LASSO) 回归确定了关键变量.
- 多变量后勤回归和名ogram构造被用于预测建模.
主要成果:
- 静止性低血压的患病率为14.3%.
- 年龄,糖尿病持续时间,座位静缩血压 (SBP),卧式静缩血压和白蛋白水平与高血压有显著的关联.
- 诺米图表表现出良好的预测性能,训练组的AUC为0.796,验证组的AUC为0.832.
结论:
- 年龄,糖尿病持续时间,座位SBP,仰卧SBP和白血素是正静性低血压的重要预测因素.
- 开发的名图为预测临床环境中静态低血压风险提供了一个实用的工具.
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