在静止应力期间评估中风体积估计:Modelflow模型的实用性
Vera-Ellen M Lucci1, Iain T Parsons2,3, Brooke C D Hockin1
1Department of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, Canada.
Blood pressure monitoring
|September 4, 2023
概括
Modelflow设备准确地估计了静止应力期间的冲击体积 (SV) 变化,即使有显著的减少. 这种非侵入性方法可靠用于自主功能测试,当根据基线或身体大小进行调整时.
科学领域:
- 心血管生理学心血管生理学
- 生物医学工程 生物医学工程
背景情况:
- 先进的血压监测设备使用算法来估计中风体积 (SV).
- 模型流是一种常见的非侵入性方法,用于节奏对节奏的SV估计.
- 在显著的SV减少期间Modelflow的准确性仍然不清楚.
研究的目的:
- 为了比较非侵入性Modelflow SV估计与心声回声在休息和静止挑战期间.
- 评估Modelflow在深度减少SV期间的准确性,直到临.
主要方法:
- 13个健康的个体经历了头部向上倾斜和下半身负压的组合,直到临.
- 用Modelflow和心声回声学同时测量了心跳对心跳的SV.
- 使用布兰德-阿尔特曼分析和两个单边测试 (TOST) 来评估偏见,一致性和等价性.
主要成果:
- 模型流SV估计与心声回声学有很强的相关性 (r=0.56,P<0.001),偏差为+7.1±21.1毫升.
- 当SV被指数为身体表面积 (+3.6±12.0毫升/米2) 时,偏差有所改善.
- SV 的相对变化显示出强烈的相关性 (r=0.76,P<0.001) 和最小偏差 (-4.2±13.1%).
结论:
- 模型流提供了深度静态压力期间SV变化的准确跟踪.
- 通过将SV索引到身体大小或对基线值进行校正来提高准确性.
- 模型流是一种经过验证的自主功能测试工具,支持其在临床环境中使用.
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