Abstract
Introduction
Abnormalities of autonomic function have been reported in patients with chronic obstructive pulmonary disease (COPD). Our objectives were to identify determinants of abnormal heart rate recovery at 1 min (HRR1) following completion of the 6-min walk test (6MWT) in COPD and to establish whether abnormal HRR1 predicts acute exacerbations (AECOPD).
Methods
Hundred one COPD patients (FEV1 (SD) 53 (19) % predicted) were prospectively recruited in a multi-center study. HRR1 after the 6MWT was evaluated as the difference between heart rate at the end of the test and 1 min into the recovery (HRR1). Linear and logistic regression was used to identify predictors of HRR1 and AECOPD, respectively. The best HRR1 cut-off point to predict AECOPD was selected using the receiver operating characteristics (ROC) curves. The follow-up period was 12 months.
Results
Distance covered during the 6MWT (m) and DLco (% predicted) were independently associated with HRR1 (r2 = 0.51, p = 0.001). Among several potential covariates, HRR1 emerged as the most significant predictor of AECOPD (Odds ratio [OR], 0.91 per beat of recovery; 95% confidence interval [CI], 0.85–0.97; p = 0.02). The ROC analysis indicated that subjects with HRR1 less than 14 beats (AUC, 0.71 [CI] 0.60–0.80; p = 0.0001) were more likely to suffer an exacerbation during the follow-up period (for HRR1, p = 0.004 [log-rank test]).
Conclusions
HRR1 after the 6MWT is an independent predictor factor for AECOPD. Further studies are warranted to examine the physiological mechanisms associating a delayed HRR and acute exacerbations in COPD patients.
Abnormalities of autonomic function have been reported in patients with chronic obstructive pulmonary disease (COPD). Our objectives were to identify determinants of abnormal heart rate recovery at 1 min (HRR1) following completion of the 6-min walk test (6MWT) in COPD and to establish whether abnormal HRR1 predicts acute exacerbations (AECOPD).
Methods
Hundred one COPD patients (FEV1 (SD) 53 (19) % predicted) were prospectively recruited in a multi-center study. HRR1 after the 6MWT was evaluated as the difference between heart rate at the end of the test and 1 min into the recovery (HRR1). Linear and logistic regression was used to identify predictors of HRR1 and AECOPD, respectively. The best HRR1 cut-off point to predict AECOPD was selected using the receiver operating characteristics (ROC) curves. The follow-up period was 12 months.
Results
Distance covered during the 6MWT (m) and DLco (% predicted) were independently associated with HRR1 (r2 = 0.51, p = 0.001). Among several potential covariates, HRR1 emerged as the most significant predictor of AECOPD (Odds ratio [OR], 0.91 per beat of recovery; 95% confidence interval [CI], 0.85–0.97; p = 0.02). The ROC analysis indicated that subjects with HRR1 less than 14 beats (AUC, 0.71 [CI] 0.60–0.80; p = 0.0001) were more likely to suffer an exacerbation during the follow-up period (for HRR1, p = 0.004 [log-rank test]).
Conclusions
HRR1 after the 6MWT is an independent predictor factor for AECOPD. Further studies are warranted to examine the physiological mechanisms associating a delayed HRR and acute exacerbations in COPD patients.
Original language | English |
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Pages (from-to) | 463-467 |
Journal | Lung |
Volume | 195 |
Issue number | 4 |
Early online date | 17 Jun 2017 |
DOIs | |
Publication status | Published - 1 Aug 2017 |
Keywords
- COPD
- exercise
- biomarker