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心肌梗死后使用短期和长期心率变异性进行风险分层的逐步策略。

Stepwise strategy of using short- and long-term heart rate variability for risk stratification after myocardial infarction.

作者信息

Faber T S, Staunton A, Hnatkova K, Camm A J, Malik M

机构信息

Department of Cardiological Sciences, St. George's Hospital Medical School, London, England.

出版信息

Pacing Clin Electrophysiol. 1996 Nov;19(11 Pt 2):1845-51. doi: 10.1111/j.1540-8159.1996.tb03238.x.

Abstract

Independent of other established risk factors, depressed heart rate variability (HRV) has been shown to be a powerful predictor of cardiac events after MI. Unfortunately, the need of 24-hour ECG recording and subsequent laborious editing of Holter data limits the clinical use of long-term HRV. In order to perform post-MI risk stratification more efficiently, we evaluated the value of short-term HRV estimates for preselection of patients who might benefit from long-term HRV assessment. Two measures were assessed from 24-hour ambulatory ECGs recorded in 729 survivors of acute MI prior to hospital discharge. In addition to a complete 24-hour HRV index, a standard deviation of normal-to-normal RR intervals (SDNN) was obtained from the first stationary and ectopic free 5-minute segment of the Holter recording. Predictive power (relation between positive predictive accuracy and sensitivity) of a complete 24-hour HRV index in identifying patients who suffered from cardiac mortality or arrhythmic events during a 2-year follow-up was compared to the predictive power of assessing the 24-hour HRV index limited to 50%, 40%, or 20% of patients with the lowest values of 5-minute SDNN. The HRV index was significantly lower in patients who died (19 +/- 11 units) or had an arrhythmic event (AE) (18 +/- 11 units) compared to those who survived without an event (28 +/- 10 resp. 27 +/- 11 units; P < 0.001). Similarly, 5-minute SDNN was significantly lower in patients who died (25 +/- 12 ms) or suffered an AE (26 +/- 13 ms) compared to survivors (40 +/- 19 ms resp. 39 +/- 19 ms; P < 0.001). When limited to patients with depressed 5-minute SDNN, assessment of the HRV index performed better than 5-minute SDNN alone in positive prediction of cardiac events. Preselected assessment of the lowest HRV index in 50% to 20% of the total population yielded a 2-year cardiac event prediction rate as high as analysis of the HRV index in all patients. Long-term HRV assessment for risk stratification after MI in patients preselected by depressed short-term SDNN is safe and efficient, and allows a practical identification of patients with the highest likelihood of cardiac events during long-term follow-up.

摘要

独立于其他已确定的风险因素之外,心率变异性(HRV)降低已被证明是心肌梗死后心脏事件的有力预测指标。不幸的是,24小时心电图记录以及随后对动态心电图数据进行的繁琐编辑限制了长期HRV的临床应用。为了更有效地进行心肌梗死后的风险分层,我们评估了短期HRV估计值对于预选可能从长期HRV评估中获益的患者的价值。从729例急性心肌梗死幸存者出院前记录的24小时动态心电图中评估了两项指标。除了完整的24小时HRV指数外,还从动态心电图记录的第一个平稳且无异位搏动的5分钟时段获取了正常RR间期的标准差(SDNN)。将完整的24小时HRV指数在识别2年随访期间发生心脏死亡或心律失常事件的患者中的预测能力(阳性预测准确性与敏感性之间的关系)与评估限于5分钟SDNN值最低的患者中的50%、40%或20%的24小时HRV指数的预测能力进行了比较。与无事件存活的患者(分别为28±10和27±11单位)相比,死亡患者(19±11单位)或发生心律失常事件(AE)的患者(18±11单位)的HRV指数显著更低(P<0.001)。同样,与幸存者(分别为40±19毫秒和39±19毫秒)相比,死亡患者(25±12毫秒)或发生AE的患者(26±13毫秒)的5分钟SDNN显著更低(P<0.001)。当限于5分钟SDNN降低的患者时,HRV指数评估在心脏事件的阳性预测方面比单独的5分钟SDNN表现更好。在总人口的50%至20%中对最低HRV指数进行预选评估产生的2年心脏事件预测率与分析所有患者的HRV指数一样高。对短期SDNN降低的患者进行预选后,对心肌梗死后风险分层进行长期HRV评估是安全有效的,并且可以在长期随访期间实际识别出发生心脏事件可能性最高的患者。

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