Bigger J T, Fleiss J L, Steinman R C, Rolnitzky L M, Kleiger R E, Rottman J N
Department of Medicine, School of Public Health, Columbia University, New York, N.Y. 10032.
Circulation. 1992 Jan;85(1):164-71. doi: 10.1161/01.cir.85.1.164.
We studied 715 patients 2 weeks after myocardial infarction to establish the associations between six frequency domain measures of heart period variability (HPV) and mortality during 4 years of follow-up.
Each measure of HPV had a significant and at least moderately strong univariate association with all-cause mortality, cardiac death, and arrhythmic death. Power in the lower-frequency bands--ultra low frequency (ULF) and very low frequency (VLF) power--had stronger associations with all three mortality end points than power in the higher-frequency bands--low frequency (LF) and high frequency (HF) power. The 24-hour total power also had a significant and strong association with all three mortality end points. VLF power was the only variable that was more strongly associated with arrhythmic death than with cardiac death or all-cause mortality. In multivariate Cox regression models using a step-up approach to evaluate the independent associations between frequency domain measures of heart period variability and death of all causes, ULF power was selected first (i.e., was the single component with the strongest association). Adding VLF or LF power to the Cox regression model significantly improved the prediction of outcome. With both ULF and VLF power in the Cox regression model, the addition of the other two components, LF and HF power, singly or together, did not significantly improve the prediction of all-cause mortality. We explored the relation between the heart period variability measures and all-cause mortality, cardiac death, and arrhythmic death before and after adjusting for five previously established postinfarction risk predictors: age, New York Heart Association functional class, rales in the coronary care unit, left ventricular ejection fraction, and ventricular arrhythmias detected in a 24-hour Holter ECG recording.
After adjustment for the five risk predictors, the association between mortality and total, ULF, and VLF power remained significant and strong, whereas LF and HF power were only moderately strongly associated with mortality. The tendency for VLF power to be more strongly associated with arrhythmic death than with all-cause or cardiac death was still evident after adjusting for the five covariates. Adding measures of HPV to previously known predictors of risk after myocardial infarction identifies small subgroups with a 2.5-year mortality risk of approximately 50%.
我们对715例心肌梗死后2周的患者进行了研究,以确定心脏周期变异性(HPV)的六种频域测量指标与4年随访期间死亡率之间的关联。
HPV的每项测量指标与全因死亡率、心源性死亡和心律失常性死亡均存在显著且至少为中度的单变量关联。低频段(超低频(ULF)和极低频(VLF)功率)的功率与所有三个死亡终点的关联比高频段(低频(LF)和高频(HF)功率)的功率更强。24小时总功率与所有三个死亡终点也存在显著且强烈的关联。VLF功率是唯一一个与心律失常性死亡的关联比与心源性死亡或全因死亡率更强的变量。在使用逐步法评估心脏周期变异性频域测量指标与全因死亡之间独立关联的多变量Cox回归模型中,ULF功率首先被选中(即,是关联最强的单一成分)。将VLF或LF功率添加到Cox回归模型中可显著改善结局预测。在Cox回归模型中同时纳入ULF和VLF功率后,单独或一起添加其他两个成分(LF和HF功率)并不能显著改善全因死亡率的预测。我们探讨了在调整五个先前确定的梗死后风险预测指标(年龄、纽约心脏协会功能分级、冠心病监护病房啰音、左心室射血分数以及24小时动态心电图记录中检测到的室性心律失常)前后,心脏周期变异性测量指标与全因死亡率、心源性死亡和心律失常性死亡之间的关系。
在调整五个风险预测指标后,死亡率与总功率、ULF功率和VLF功率之间的关联仍然显著且强烈,而LF功率和HF功率与死亡率仅为中度关联。在调整五个协变量后,VLF功率与心律失常性死亡的关联比与全因死亡或心源性死亡更强的趋势仍然明显。将HPV测量指标添加到心肌梗死后先前已知的风险预测指标中,可识别出2.5年死亡风险约为50%的小亚组。