Table 3.
Ventilatory Oscillations
Characteristic | Heart Failure (n = 25) | Controls (n = 25) |
---|---|---|
Power spectral analysis of feedback amplification* | ||
Oscillatory strength, T | ||
Median (IQR) | 1.7 (1.2) | 1.4 (0.2)† |
Range | 1.2–11.3 | 1.1–2.4 |
Estimated loop gain, 1 − 1/T | 0.46 ± 0.19 | 0.29 ± 0.11† |
Estimated natural frequency, cycles/min | 1.7 ± 0.5 | 2.5 ± 0.6† |
Significant resonance detected‡, yes:no, n | 24:1 | 18:7§ |
Time-domain analysis | ||
Amplitude, % of mean | 47 (44) | 34 (23)‖ |
Interpeak interval SD, % of mean | 26 ± 8 | 33 ± 6¶ |
Definition of abbreviation: IQR = interquartile range (75th percentile − 25th percentile).
Values are mean ± SD or median (IQR) unless otherwise indicated.
A resonance model was fit to the ventilation power spectrum to summarize the data. The general model is given by y = Sd(f)/|1 − LG(f)|2, where the noise component Sd(f) is assumed to conform to a power law [Sd(f) = βf−α, where α = exponent, β = offset, and f = frequency], and the chemoreflex influence is described by the simplest possible model [LG(f) = −ke−i2πfδ/(1 + i2πfτ), where k = gain,τ = time constant, and δ = delay] (41, 50).
P < 0.001.
Fisher’s F test compared the resonance model (feedback stimulated by biological noise) to noise (without feedback) for each individual.
P < 0.05, Fisher’s exact test.
‖P < 0.05.
P < 0.01.