Purpose: The purpose of this study is to determine whether short-term
heart rate variability (HRV) can be used successfully to predict induc
ible ventricular tachycardia (VT). Methods: A high-speed (300 mm/s) el
ectrocardiographic recording was obtained in 32 patients in the supine
position prior to programmed ventricular stimulation. Beat-to-beat RR
intervals (in milliseconds) were derived from an 11-beat strip (10 RR
intervals). Logistic regression was used to study the relationship be
tween several variables and a dichotomous dependent variable (inducibl
e, clinical, or electrocardiographic evidence of VT). Results: Of 32 p
atients, 12 had inducible VT (inducible VT group) and 20 had no clinic
al or electrocardiographic evidence of VT (control group). Mean short-
term HRV values were significantly lower in those with inducible VT th
an in the control group in all patients (25+/-15 ms, n=12 vs 67+/-22 m
s, n=20; p<0.0001 and in patients with coronary artery disease or cong
estive heart failure or both (22+/-13 ms, n=11 vs 63+/-23 ms, n=11; p<
0.0001. For the group as a whole, short-term HRV was less than or equa
l to 50 ms in 11 of 12 patients (92%) with inducible VT, but was less
than or equal to 50 ms in only 3 of 20 control subjects (15%; p<0.001)
. As a result of a stepwise selection procedure conducted within the l
ogistic regression, only the short-term HRV was found to be predictive
of inducible VT (p<0.0001). Conclusion: Short-term HRV is significant
ly lower in subjects with inducible VT than in those without clinical
or electrocardiographic evidence of VT. The probability of developing
sudden death increases substantially when short-term HRV decreases bel
ow 50 ms.