A system and method for statistically analyzing QT interval as a function
of changes in the RR interval. The system and method utilize three
statistical comparisons to fully characterize the QT response: (1) the
comparison of curves to give an overall effect; (2) the incidence of
points exceeding a baseline upper 95% single-point prediction bound to
reflect the degree of heterogeneity of ventricular repolarization; and (3)
the magnitude of these points to provide a quantitative assessment of
treatment-induced changes in the QT-RR relationship. The system and method
use the relationship between the QT interval and heart rate (RR interval)
to reference a control baseline response. Data from mammals such as humans
and dogs, and pharmacological maneuvers using both cardiac and non-cardiac
therapeutic agents, may be used with this multi-parameter statistical
system and method. Additionally, the system and method quantifies the
incidence and magnitude of points lying outside the upper 95% single-point
prediction limit of the regression analysis for vehicle versus treatment.
