Key result
Resting heart rate variability indexes, including RMSSD and SDNN, correlated with aerobic capacity measures such as anaerobic threshold (r=0.39) and peak oxygen uptake in patients with COPD.
Why the study?
Do resting heart rate variability indexes correlate with aerobic physiological variables in patients with COPD?
Cross-Sectional (n=37)
Do resting heart rate variability indexes correlate with aerobic physiological variables in patients with COPD?
Effect estimate: r = 0.35 to 0.46
HRV may correlate with exercise capacity in COPD; leaves open prospective validation before clinical use.
Background and objective Previous studies have shown a relationship between the level of physical fitness and autonomic variables. However, these relationships have not been investigated in patients with chronic obstructive pulmonary disease ( COPD ). The objective of this study was to correlate the resting heart rate variability ( HRV ) indexes with aerobic physiological variables obtained at a maximal exercise test in patients with COPD . Methods Thirty‐seven patients with COPD (63 (59–70) years; 46 (35.4–63.7) forced expiratory volume in 1 s ( FEV 1 )%) underwent assessment of autonomic modulation at rest for 20 min to determine the HRV indexes in time and frequency domains. Soon after that, the patients performed an incremental exercise test to determine the anaerobic threshold (GET), the peak oxygen uptake ( VO 2PEAK ) and the velocity corresponding to VO 2PEAK ( vVO 2PEAK ). Results The indexes that express parasympathetic component as RMSSD (11.4 [7.5–23.8], HF (ms 2 ) (35 [17–195] and SD 1 (8.1 [5.3–16.8]), correlated with GET ( r = 0.39; r = 0.43; r = 0.39 respectively). The indexes that represent the overall variability, SDNN (19.5 [13.9–28.8]), LF (ms 2 ) (111 [38–229]), and SD2 (26.8 [18.6–35.4]) correlated with vVO 2PEAK ( r = 0.37; r = 0.38; r = 0.37; r = 0.44; r = 0.43; r = 0.46 respectively). Likewise, the indexes LF (ms 2 ), LF (nu) (63.2 [46–77,9]), HF (nu) (36.8 [22.1–54]), and LF/HF (1.7 [0.9–3.5]) correlated with VO 2PEAK ( r = 0.35; r = 0.35; r = −0.35; r = 0.40 respectively). Conclusions This study demonstrated that HRV indexes at rest may become a predictive tool for aerobic capacity in COPD patients after the development of more consistent methods.
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Leite et al. (2014) conducted a cross-sectional in Chronic obstructive pulmonary disease (COPD) (n=37). Resting heart rate variability (HRV) indexes was evaluated on Correlation between resting HRV indexes and aerobic physiological variables (GET, VO2PEAK, vVO2PEAK) (r = 0.35 to 0.46). Resting heart rate variability indexes, including RMSSD and SDNN, correlated with aerobic capacity measures such as anaerobic threshold (r=0.39) and peak oxygen uptake in patients with COPD.
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