Key result
Universal regression equations for heart rate correction induce residual rate dependence in systolic time intervals.
Why the study?
The use of a 'universal' regression equation for heart rate correction in mechanical cardiac function parameters may introduce errors and complicate physiological interpretation during stress tests.
Does heart rate correction using a 'universal' regression equation introduce errors when evaluating cardiac mechanical function during stress?
Observational
Does heart rate correction using a 'universal' regression equation introduce errors when evaluating cardiac mechanical function during stress?
Using 'universal' regression equations for heart rate correction of mechanical cardiac function parameters during stress introduces new dependencies, suggesting this method should be avoided in stress provocations.
Universal HR correction equations may artifactually link rate changes to corrected intervals in stress testing; leaves open whether individualized equations are required.
This paper studies the possible errors associated with the use of a 'universal' regression equation in heart rate correction when used on mechanical cardiac function parameters. Systolic time interval rate correction, using Weissler regression equations, is taken as an example. The measurements were made during the isometric handgrip test, the orthostatic test, the Valsalva manoeuvre and the cold pressor test. It was observed that in most measurements rate correction caused a significant correlation between the changes in heart rate and the rate-corrected systolic time interval. It is considered that this new dependence between heart rate and the rate-corrected parameter makes the physiological interpretation of results more difficult. Therefore it is recommended that in stress provocations mechanical cardiac function parameters should not be rate-corrected by methods based on a 'universal' regression equation between heart rate and the mechanical function parameter.
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Mäntysaari et al. (1992) reported an observational. Heart rate correction based on 'universal' regression equation was evaluated on Correlation between changes in heart rate and rate-corrected systolic time interval. Heart rate correction using 'universal' regression equations caused a significant correlation between heart rate changes and rate-corrected systolic time intervals during stress testing.
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