几种RR波动的短期测量方法能够预测心肌梗塞后的死亡率
J T Bigger1, J L Fleiss, L M Rolnitzky
1Department of Medicine, School of Public Health, Columbia University, New York, NY 10032.
Circulation
|September 1, 1993
概括
短期心率变化分析准确预测心肌梗塞后患者的死亡风险. 这些功率光谱测量,从简短的心电图记录中得出的,识别出具有2至4倍死亡风险的个体.
科学领域:
- 心脏病学 心脏病学
- 生物医学工程 生物医学工程
- 在医疗保健中的数据科学.
背景情况:
- 在心肌梗塞发作后两周评估了715名患者.
- 研究了短期心率变化 (HRV) 措施的预测值.
研究的目的:
- 测试RR可变性的短期功率光谱测量是否能预测全因死亡率或心律失常死亡.
- 为了确定简短的心电图记录是否可以可靠地评估HRV以预测死亡率.
主要方法:
- 对24小时和短期 (2-15分钟) RR间隔数据进行功率光谱分析.
- 计算了四个频域HRV测量值及其比率.
- 与24小时值相关联的短期HRV值,发现了强烈的相似性 (相关性>0.75).
主要成果:
- 短期HRV测量是所有原因,心脏和心律失常死亡率的优秀预测指标.
- 低HRV值的患者在31个月内死亡风险高2至4倍.
- 对于所有死因的死亡率来说,HRV措施并没有显著改善心律失常/突然死亡的预测.
结论:
- 从短时间的心电图记录中测量RR变量的功率光谱测量与24小时测量相当.
- 短期HRV分析是所有原因死亡率和突然心脏病死亡的可靠和有效预测指标.
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