RT Journal Article
SR Electronic
T1 Quantifying oscillatory ventilation during exercise in patients with heart failure
JF European Respiratory Journal
JO Eur Respir J
FD European Respiratory Society
SP p1541
VO 38
IS Suppl 55
A1 Thomas Olson
A1 Kenneth Beck
A1 Bruce Johnson
YR 2011
UL http://erj.ersjournals.com/content/38/Suppl_55/p1541.abstract
AB Background: This study tested the validity of a data analysis scheme to quantify measures of oscillatory ventilation at rest and during exercise in heart failure patients (HF).Methods: Eleven patients (age=53±8yrs, LVEF=17±4%, NYHA Class=II (7)/IV (4)) were recruited. Ventilation (VE) and gas exchange were measured. Amplitude and period of oscillations in VE, tidal volume (VT), end-tidal carbon dioxide (PETCO2), and oxygen consumption (VO2) were measured manually (MAN), using novel software which included a peak detection algorithm (PK), sine wave fitting algorithm (SINE), and Fourier analysis (FOUR).Results: During PB, there were no differences between MAN and PK for amplitude of VE, VT, PETCO2, or VO2. Similarly, there were no differences between MAN and SINE for amplitude of VE or VT although PETCO2 and VO2 were lower with SINE (p<0.05). The PK demonstrated shorter periods for VE, VT, PETCO2, and VO2 compared to MAN (p<0.05) whereas there were no differences in periods of oscillations between MAN and SINE or FOUR. During exercise, there were no differences between MAN and PK for amplitude of VE, VT, PETCO2, or VO2. SINE demonstrated lower amplitudes for VT, PETCO2, and VO2 (p<0.05) although VE was not different. PK demonstrated shorter periods for all variables (p<0.05) whereas there were no differences between MAN and SINE or FOUR for all variables during exercise.Conclusion: These data suggest 1) PK consistently captures amplitudes but underestimates period, 2) SINE and FOUR consistently capture period although SINE underestimates amplitude. Thus, an optimal algorithm for quantifying oscillatory ventilation in HF might combine multiple analysis methods. NIH grants HL71478/KL2-RR024151