DEPRESSED NEAR RATE VARIABILITY AS AN INDEPENDENT PREDICTOR OF DEATH IN CHRONIC CONGESTIVE-HEART-FAILURE SECONDARY TO ISCHEMIC OR IDIOPATHIC DILATED CARDIOMYOPATHY
P. Ponikowski et al., DEPRESSED NEAR RATE VARIABILITY AS AN INDEPENDENT PREDICTOR OF DEATH IN CHRONIC CONGESTIVE-HEART-FAILURE SECONDARY TO ISCHEMIC OR IDIOPATHIC DILATED CARDIOMYOPATHY, The American journal of cardiology, 79(12), 1997, pp. 1645-1650
After acute myocardial infarction, depressed heart rate variability (H
RV) has been proven to be a powerful independent predictor of a poor o
utcome. Although patients with chronic congestive heart failure (CHF)
have also markedly impaired HRV, the prognostic value of HRV analysis
in these patients remains unknown. The aim of this study was to invest
igate whether HRV parameters could predict survival in 102 consecutive
patients with moderate to severe CHF (90 men, mean age 58 years, New
York Heart Association [NYHA] class II to IV , CHF due to idiopathic d
ilated cardiomyopathy in 24 patients and ischemic heart disease in 78
patients, ejection fraction [EF], 26%; peak oxygen consumption, 16.9 m
l/kg/min) after exclusion of patients in atrial fibrilation with diabe
tes or with chronic renal failure. In the prognostic analysis (Cox pro
portional-hazards model, Kaplan-Meier survival analysis), the followin
g factors were investigated: age, CHF etiology, NYHA class, EF, peak o
xygen consumption, presence of ventricular tachycardia on Holter monit
oring, and HRV measures derived from 24-hour electrocardiography monit
oring, calculated in time (standard deviation of all normal RR interva
ls [SDNN], standard deviation of 5-minute RR intervals [SDANN], mean o
f all 5-minute-standard deviations of RR intervals [SD], root-mean-squ
are of difference of successive RR intervals [rMSSD], and percentage o
f adjacent RR intervals > 50 ms different [pNN50]) and frequency domai
n (total) power [TP], power within low-frequency band [LF], and power
within high-frequency band [HF]). During follow-up of 584 +/- 405 days
(365 days in all who survived), 19 patients (19%) died (mean time to
death: 307 +/- 315 days, range 3 to 989). Cox's univariate analysis id
entified the following factors to be predictors of death: NYHA (p = 0.
003), peak oxygen consumption (p = 0.01), EF (p = 0.02), ventricular t
achycardia on Holter monitoring (p = 0.02), ventricular tachycardia on
Holter monitoring (p = 0.05), and among HRV measures: SDNN (p = 0.004
), SDANN (p = 0.003), SD (p = 0.02), and LF (p = 0.003). In multivaria
te analysis, HRV parameters (SDNN, SDANN, LF) were found to predict su
rvival independently of NYHA functional class, EF, peak oxygen consump
tion, and ventricular tachycardia on Holter monitoring. The Kaplan-Mei
er survival curves revealed SDNN < 100 ms to be a useful risk factor;
1-year survival in patients with SDNN < 100 ms was 78% when compared w
ith 95% in those with SDNN > 100 ms (p = 0.008). The coexistence of SD
NN < 100 ms and a peak oxygen consumption < 14 ml/kg/min allowed ident
ification of a group of 18 patients with a particularly poor prognosis
(1-year survival 63% vs 94% in the remaining patients, p < 0.001). We
conclude that depressed HRV on 24-hour ambulatory electrocardiography
monitoring is an independent risk factor for a poor prognosis in pati
ents with CHF. Whether analysis of HRV could be recommended in the ris
k stratification for better management of patients with CHF needs furt
her investigation. (C) 1997 by Excerpta Medica, Inc.