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Background: Clinical and demographic determinants of heart rate variability (HRV), an almost universal predictor of increased mortality, have not been systematically investigated in patients post myocardial infarction (MI)., Hypothesis: The study was undertaken to evaluate the relationship between pretreatment clinical and demographic variables and HRV in the Cardiac Arrhythmia Suppression Trial (CAST)., Methods: CAST patients were post MI and had > or =6 ventricular premature complexes/h on pretreatment recording. Patients in this substudy (n = 769) had usable pretreatment and suppression tapes and were successfully randomized on the first antiarrhythmic treatment. Tapes were rescanned; only time domain HRV was reported because many tapes lacked the calibrated timing signal needed for accurate frequency domain analysis. Independent predictors of HRV were determined by stepwise selection., Results: Coronary artery bypass graft surgery (CABG) after the qualifying MI was the strongest determinant of HRV. The markedly decreased HRV associated with CABG was not associated with increased mortality. Ejection fraction and diabetes were also independent predictors of HRV. Other predictors for some indices of HRV included beta-blocker use, gender, time from MI to Holter, history of CABG before the qualifying MI, and systolic blood pressure. Decreased HRV did not predict mortality for the entire group. For patients without CABG or diabetes, decreased standard deviation of all NN intervals (SDANN) predicted mortality. Clinical and demographic factors accounted for 31% of the variance in the average of normal-to-normal intervals (AVGNN) and 13-26% of the variance in other HRV indices., Conclusions: Heart rate variability post MI is largely independent of clinical and demographic factors. Antecedent CABG dramatically reduces HRV. Recognition of this is necessary to prevent misclassification of risk in patients post infarct.

Seven hundred fifteen participants from a multicenter natural history study of acute myocardial infarction were studied (1) to determine the correlations among time and frequency domain measures of heart period variability, (2) to determine the correlations between the measures of heart period variability and previously established post-infarction risk predictors, and (3) to determine the predictive value of time domain measures of heart period variability for death during follow-up after acute myocardial infarction. Twenty-four hour electrocardiographic recordings obtained 11 +/- 3 days after acute myocardial infarction were analyzed and 11 measures of heart period variability were computed. Each of 4 bands in the heart period power spectrum had 1 or 2 corresponding variables in the time domain that correlated with it so strongly (r greater than or equal to 0.90) that the variables were essentially equivalent: ultra low frequency power with SDNN* and SDANN index,* very low frequency power and low-frequency power with SDNN index,* and high-frequency power with r-MSSD* and pNN50.* As expected from theoretical considerations, SDNN and the square root of total power were almost perfectly correlated. Correlations between the time and frequency domain measures of heart period variability and previously identified postinfarction risk predictors, e.g., left ventricular ejection fraction and ventricular arrhythmias, are remarkably weak. Time domain measures of heart period variability, especially those that measure ultra low or low-frequency power, are strongly and independently associated with death during follow-up. * Defined in Table II.

Background: 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., Methods and Results: 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., Conclusions: 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%.

In animals, baroreflex sensitivity is inversely related to the likelihood of ventricular fibrillation during myocardial ischemia. After myocardial infarction in human patients, reduced baroreflex sensitivity is associated with increased mortality. A reduced standard deviation of normal RR intervals over a 24 h period is also associated with reduced survival after myocardial infarction. Therefore, 32 normotensive men who had survived their first myocardial infarction were studied to define the relation between baroreflex sensitivity assessed with phenylephrine injection and three Holter electrocardiographic measures of tonic vagal activity: the percent of successive normal RR intervals greater than 50 ms, the root mean square successive difference of normal RR intervals and the power in the high frequency energy of the normal RR interval power spectrum. Correlations among the Holter measures of heart period variability were greater than or equal to 0.94, indicating that these measures are so strongly correlated that any one of them can be used to represent the others. Baroreflex sensitivity showed weaker correlations with the three Holter variables (0.57 to 0.63), indicating that the Holter measures did not accurately predict baroreflex sensitivity. Baroreflex sensitivity showed a stronger correlation with the three Holter variables during the night than during the day. Baroreflex sensitivity and tonic vagal activity reflected by Holter variables were reduced more in patients with inferior myocardial infarction than in those with anterior infarction. The relative utility of baroreflex sensitivity and Holter measures of tonic vagal activity in predicting sudden cardiac death after myocardial infarction needs to be evaluated in a large prospective study.

The electrophysiologic effects and antiarrhythmic efficacy of oral sotalol were investigated in 42 patients with coronary artery disease and prior myocardial infarction who presented with ventricular tachycardia (VT), ventricular fibrillation (VF) or syncope. The mean left ventricular ejection fraction was 36 +/- 9%. Baseline programmed cardiac stimulation initiated sustained VT (26 patients) or VF (16). The induced arrhythmia was not suppressed by conventional antiarrhythmic drugs in any patient (3 +/- 2 trials/patient). The mean daily dosage of sotalol was 221 +/- 84 mg. The right ventricular effective refractory period increased from 247 +/- 25 to 273 +/- 26 ms with sotalol (p = 0.0001) and the corrected QT interval increased from 431 +/- 35 to 456 +/- 62 ms (p = 0.02). Arrhythmia suppression was defined as no sustained VT or VF in response to programmed cardiac stimulation using up to 3 extrastimuli. Induced VT or VF was suppressed by sotalol therapy in 10 (24%) patients (group 1). Group 1 patients had faster induced arrhythmias at the baseline study than patients whose induced ventricular arrhythmia was not suppressed (group 2). The mean left ventricular ejection fraction tended to be higher in group 1 patients (p = 0.07). Fourteen patients (including 9 group 1 patients) continued receiving sotalol after discharge. In 2 group 2 patients, sotalol was combined with a class IA antiarrhythmic drug. During a mean follow-up period of 7.9 +/- 4.9 months, 2 patients had recurrent VT and in 2 others sotalol was discontinued due to side effects.