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July 27, 1999Circulation414 citationsOpen Access

Cardiac Interbeat Interval Dynamics From Childhood to Senescence

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SPSirkku M. PikkujämsäTMTimo MäkikallioLSL. Sourander

Key Result

Aging from middle to old age is associated with a progressive loss of complexity in heart rate dynamics, including decreased approximate entropy (r=-0.69, P<0.001).

Study Design

Type

Cross-Sectional (n=114)

Structured PICO

How does aging from childhood to senescence affect the complexity and fractal scaling of cardiac interbeat interval dynamics in healthy subjects?

P
Population
114 healthy subjects (age range, 1 to 82 years), including children (<15 years old, n=27), young adults (<40 years old, n=29), middle age (40 to 60 years, n=29), and old age (>60 years, n=29).
I
Intervention
24-hour ECG recordings analyzed for R-R interval variability using fractal scaling and nonlinear dynamics (approximate entropy, detrended fluctuation analysis).
C
Comparator
Comparison across different age groups (children, young adults, middle age, old age).
O
Outcome
Age-related changes in R-R interval dynamics (slope beta, approximate entropy [ApEn], short-term [alpha1] and intermediate-term [alpha2] fractal scaling exponents).surrogate

Healthy aging is associated with a progressive loss of complexity and altered fractal scaling in heart rate dynamics from middle age to senescence.

Main Result

Effect estimate: r=-0.69 (ApEn)

p-value: p=<0.001

Abstract

BACKGROUND: New methods of R-R interval variability based on fractal scaling and nonlinear dynamics ("chaos theory") may give new insights into heart rate dynamics. The aims of this study were to (1) systematically characterize and quantify the effects of aging from early childhood to advanced age on 24-hour heart rate dynamics in healthy subjects; (2) compare age-related changes in conventional time- and frequency-domain measures with changes in newly derived measures based on fractal scaling and complexity (chaos) theory; and (3) further test the hypothesis that there is loss of complexity and altered fractal scaling of heart rate dynamics with advanced age. METHODS AND RESULTS: The relationship between age and cardiac interbeat (R-R) interval dynamics from childhood to senescence was studied in 114 healthy subjects (age range, 1 to 82 years) by measurement of the slope, beta, of the power-law regression line (log power-log frequency) of R-R interval variability (10(-4) to 10(-2) Hz), approximate entropy (ApEn), short-term (alpha(1)) and intermediate-term (alpha(2)) fractal scaling exponents obtained by detrended fluctuation analysis, and traditional time- and frequency-domain measures from 24-hour ECG recordings. Compared with young adults (60 years, n=29). CONCLUSIONS: Cardiac interbeat interval dynamics change markedly from childhood to old age in healthy subjects. Children show complexity and fractal correlation properties of R-R interval time series comparable to those of young adults, despite lower overall heart rate variability. Healthy aging is associated with R-R interval dynamics showing higher regularity and altered fractal scaling consistent with a loss of complex variability.

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Cite This Study

Pikkujämsä et al. (1999) conducted a cross-sectional in Healthy subjects (n=114). Aging vs. Young adults and children was evaluated on Cardiac interbeat (R-R) interval dynamics (ApEn, alpha1, alpha2, beta) (r=-0.69 (ApEn), p=<0.001). Aging from middle to old age is associated with a progressive loss of complexity in heart rate dynamics, including decreased approximate entropy (r=-0.69, P<0.001).

synapsesocial.com/papers/6a0e1b342a2e27e73427a5bbhttps://doi.org/10.1161/01.cir.100.4.393
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