A method of
data management for optimizing the patient outcome from the provision of
cardiac resynchronization therapy (CRT) is described. A regression equation is constructed using 3 data points on a plot of
AV delay vs. HR. The x-axis consist of the three points consist of resting HR, HR at the optimal
AV delay value during light exercise, and the upper tracking or paced HR. The y-values associated with the three points consist of the
AV delay values computed using an equation for ventricular filling time and the optimally determined AV
delay value. Also described is a process for determining the sensed to paced AV
delay offset. The combined processes yield 4 (the three constant values in the
polynomial regression equation Y=b2X2+b1X+a and the sensed to paced AV
delay offset) which can be stored on the patient's pacemaker for determining dynamically the AV delay value which is physiologically fine-tuned for each patient from resting HR to the upper tracking or paced HR. In combination with
visual observation and computer-assisted
ranking of the dependent variables, a physician can utilize the resulting information to render decisions on the optimal choice of the
programming biventricular pacemakers / ICDs and DDDR pacemakers for individual patients.