Why the study?
Does a universally applicable QT/RR regression model exist for heart rate correction of the QT interval in healthy subjects?
Population
1,100 healthy subjects (913 male, mean age 33+/-12 years) with resting electrocardiograms
Comparison
Several generic QT/RR regression models vs Comparison among the different regression models
Design
Other
Authors
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No universal QT/RR model fits all datasets; leaves open whether individualized regression improves QT correction in practice.
Does a universally applicable QT/RR regression model exist for heart rate correction of the QT interval in healthy subjects?
The study demonstrates that there is no universally optimal QT/RR regression model, suggesting that individual studies should establish a best-fit regression for their specific dataset.
Hnatkova et al. (1999) studied this question.
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