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The correlation between heart period variability and mean period length
J L Fleiss1, J T Bigger, L M Rolnitzky
1Division of Biostatistics, Columbia University School of Public Health, New York, NY 10032.
Statistics in Medicine
|January 25, 1992
Summary
Heart rate variability and heart period variability are key indicators of autonomic nervous system function and survival post-myocardial infarction. Standard deviation of instantaneous heart rates offers a statistically sound measure comparable to other variability metrics for predicting patient outcomes.
Area of Science:
- Cardiology
- Autonomic Nervous System Physiology
- Biostatistics
Background:
- Heart rate variability (HRV) and heart period variability (HPV) are crucial for assessing autonomic nervous system (ANS) function.
- These variability measures are established predictors of survival, particularly after myocardial infarction (MI).
- The correlation between standard deviation of normal-to-normal intervals (SDNN) and mean heart period presents analytical challenges.
Purpose of the Study:
- To evaluate the correlation between standard deviation of instantaneous heart rates and mean heart period.
- To compare the predictive power of different HRV metrics for post-myocardial infarction survival.
- To validate the statistical basis of using standard deviation of heart rates as a measure of variability.
Main Methods:
- Analysis of data from a multicentre post-infarction natural history study.
- Calculation and comparison of correlations between mean heart period and different variability measures (coefficient of variation, standard deviation of heart rates, standard deviation of heart periods).
- Statistical assessment of the predictive strength of these measures for survival outcomes.
Main Results:
- The standard deviation of instantaneous heart rates shows only a modest correlation with mean heart period.
- This measure is derivable from established statistical principles, unlike the coefficient of variation.
- The coefficient of variation, standard deviation of heart rates, and standard deviation of heart periods demonstrated comparable predictive power for post-MI survival.
Conclusions:
- Standard deviation of instantaneous heart rates is a statistically sound and practical measure of HRV.
- This metric, along with coefficient of variation and SDNN, effectively predicts survival after myocardial infarction.
- The findings support the use of standard deviation of heart rates in clinical assessments of cardiac autonomic function and prognosis.