基于VExUS分级和分类和回归树算法,在接受侵入性机械通风的患者中构建一个右心室功能评估模型
Jun Gao1,2, Pan Gao1, Yuanyuan Du1
1Department of Critical Care Medicine, Harrison International Peace Hospital, Hengshui, China.
Frontiers in cardiovascular medicine
|September 22, 2025
概括
这项研究发现,像IVCdmax和TAPSE这样的超声波指标与机械通风患者的静脉过量超声波 (VExUS) 分级相关. 使用VExUS和CART开发的模型有效评估右心室功能和静脉拥堵.
科学领域:
- 关键护理医学 关键护理医学
- 心脏病学 心脏病学
- 医疗成像医学成像
背景情况:
- 在重症患者中,评估右心室 (RV) 功能至关重要,特别是那些接受侵入性机械通风 (IMV) 患者.
- 静脉拥堵,通常通过静脉过量超声波 (VExUS) 评分系统进行评估,影响RV性能.
- 在这种情况下,目前评估RV功能的方法可能需要改进.
研究的目的:
- 调查RV功能的特定超声波指标与IMV患者VExUS分级系统之间的相关性.
- 开发和验证使用VExUS分级和分类和回归树 (CART) 算法对RV函数的预测模型.
主要方法:
- 一项涉及80名接受IMV治疗的患者的横截面研究.
- 收集的数据包括临床参数,血液学指数,血液动力学数据和超声波测量 (IVCdmax,TAPSE,三 E 波峰值).
- 患者根据VExUS等级 (0对≥1) 分层. 使用Spearman的相关性和CART分析来构建和验证RV函数模型.
主要成果:
- 在VExUS组之间观察到NT-proBNP,cTnI,中央静脉压和液体平衡的显著差异.
- 下静脉腔直径 (IVCdmax) 显示出正相关性 (r=0.773),而TAPSE (r=-0.670) 和三 E 波峰值 (r=-0.648) 显示出与VExUS分级的负相关性.
- 卡特模型确定了IVCdmax,TAPSE和三角形E波峰值作为关键预测指标,达到87.5%的准确性.
结论:
- 超声波参数包括IVCdmax,TAPSE和三 E波峰值与IMV患者的VexUS分级有很强的相关性.
- 集成VExUS分级和CART算法的RV功能评估模型有效评估RV性能.
- 这种模型是有希望的,可以作为一种工具来识别危急病患者的静脉拥堵.
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