THE ABILITY OF SEVERAL SHORT-TERM MEASURES OF RR VARIABILITY TO PREDICT MORTALITY AFTER MYOCARDIAL-INFARCTION
THE ABILITY OF SEVERAL SHORT-TERM MEASURES OF RR VARIABILITY TO PREDICT MORTALITY AFTER MYOCARDIAL-INFARCTION
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DOI：
10.1161/01.cir.88.3.927
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发表时间：
1993-09-01
期刊：
影响因子：
37.8
通讯作者：
STEINMAN, RC
中科院分区：
文献类型：
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作者：
BIGGER, JT;FLEISS, JL;STEINMAN, RC
背景我们研究了715例心肌梗死后2周的患者，以检验RR变异性的短期功率谱测量（从2至15分钟的正常RR间期数据计算）将预测全因死亡率或猝死的假设。我们对整个24小时RR间期时间序列进行了功率谱分析。为了与24小时分析进行比较，我们选择了两个时间段的短段ECG记录进行分析：上午8点至下午4点和午夜至凌晨5点。前者对应于最有可能获得RR变异性短期测量值的时间间隔。后者，在睡眠期间，代表迷走神经张力增加的一段时间，这可能模拟当患者记录信号平均ECG时存在的条件，即安静地躺在实验室中。根据24小时间隔内心动周期数据的频谱分析计算四个频域测量值。我们计算了24小时功率谱密度，并计算了三个频带内的功率：（1）0.0033至
Background. We studied 715 patients 2 weeks after myocardial infarction to test the hypothesis that short-term power spectral measures of RR variability (calculated from 2 to 15 minutes of normal RR interval data) will predict all-cause mortality or arrhythmic death.Methods and Results. We performed power spectral analyses on the entire 24-hour RR interval time series. To compare with the 24-hour analyses, we selected short segments of ECG recordings from two time periods for analysis: 8 AM to 4 PM and midnight to 5 AM. The former corresponds to the time interval during which short-term measures of RR variability would most likely be obtained. The latter, during sleep, represents a period of increased vagal tone, which may simulate the conditions that exist when patients have a signal-averaged ECG recorded, ie, lying quietly in the laboratory. Four frequency domain measures were calculated from spectral analysis of heart period data over a 24-hour interval. We computed the 24-hour power spectral density and calculated the power within three frequency bands: (1) 0.0033 to