Heart Rate Recovery, Physical Activity Level, and Functional Status in Subjects With COPD

Morita, Andrea Akemi; Silva, Laís K O; Bisca, Gianna Waldrich; Oliveira, Joice Mara de; Hernandes, Nídia A.; Pitta, Fábio; Furlanetto, Karina Couto

doi:10.4187/respcare.05918

Cited by 23 publications

(22 citation statements)

References 27 publications

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“…[20–22] HRR is an indicator of autonomic nervous system function and parasympathetic activity level. [23,24] At the end of exercise, parasympathetic reactivation plays a leading role in heart rate regulation. Pierpont et al [25,26] showed that HRR is closely related to cardiovascular death and all-cause mortality.…”

Section: Discussionmentioning

confidence: 99%

Impaired heart rate recovery as a predictor for poor health-related quality in patients with transient ischemic attack

Wang

et al. 2019

Medicine

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We aimed to investigate heart rate recovery (HRR) in patients with transient ischemic attack (TIA) and the relationship between HRR and health-related quality of life (HRQOL). All available patients were enrolled during the enrollment period. A total of 120 patients with TIA and 120 healthy controls were included in this study. A treadmill stress test was performed to calculate the HRR. The HRR were calculated as follows: HRR 1, 2, 3, and 5 minutes = heart rate at peak during exercise − heart rate at 1, 2, 3, and 5 minutes at rest. All patients enrolled were asked to fill in the Short Form 36 Health Survey to calculate HRQOL. We found that the maximum heart rate of TIA patients was significantly higher than that of healthy controls (166 ± 11 vs. 162 ± 14 beats/min, P = .015). Similarly, maximum systolic blood pressure (SBP) and diastolic blood pressure (DBP) were higher in TIA group compared with healthy control group (SBP: 172 ± 15 vs. 165 ± 14 mm Hg, P < .001; DBP: 102 ± 12 vs. 93 ± 16 mm Hg, P < .001). The HRR were significantly lower in TIA group compared with control group (TIA vs. controls, HRR1: 17 ± 7 vs. 30 ± 8 beats/min, HRR2: 32 ± 11 vs. 49 ± 9 beats/min, HRR3: 43 ± 13 vs. 63 ± 12 beats/min, HRR5: 54 ± 16 vs. 73 ± 15 beats/min, all P < .001). Multivariate analysis showed that older age ( P = .03) and high BMI ( P = .04) were risk factors associated with abnormal HRR in patients with TIA. With regard to HRQOL, we found that role limitations due to physical problems, general health, vitality, and role limitations due to emotional problems were significantly lower in patients with abnormal HRR compared with patients with normal HRR. Multivariate analysis showed that older age ( P = .04) and abnormal HRR ( P = .03) were predictors for poor HRQOL in TIA patients. HRR was impaired in patients with TIA. In addition, TIA patients with abnormal HRR suffered from a significantly poorer HRQOL. Hence, given the prognostic value of HRR, patients with TIA should be monitored to prevent cardiovascular events and to improve HRQOL.

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Section: Discussionmentioning

confidence: 99%

Impaired heart rate recovery as a predictor for poor health-related quality in patients with transient ischemic attack

Wang

et al. 2019

Medicine

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Section: Introductionmentioning

confidence: 99%

“…[16][17][18][19] The post-exercise heart rate (HR) recovery (off-kinetics) has been recognized as a predictor factor for exacerbation and mortality in multiple respiratory diseases (ie, COPD), and it is straightly related to functional capacity and quality of life. 20 Additionally, the HR off-transient reflects changes in cardiac autonomic modulation to manage the energy requirements during the post-exercise recovery, remarked by a gradual restoration of the parasympathetic activity. 21 A slowed response of the HR recovery at the end of the exercise corresponds to a reduced influence of the parasympathetic modulation on the sinoatrial node, representing higher probabilities of adverse cardiovascular outcomes.…”

Section: Introductionmentioning

confidence: 99%

“…21 A slowed response of the HR recovery at the end of the exercise corresponds to a reduced influence of the parasympathetic modulation on the sinoatrial node, representing higher probabilities of adverse cardiovascular outcomes. 20,22,23 Individuals with COPD become more inactive when compared to the elderly, and this inactivity directly affects functional capacity. 24 In addition to its relationship with health status, physical deconditioning and increased risk for cardiovascular events.…”

Section: Introductionmentioning

confidence: 99%

“…24 In addition to its relationship with health status, physical deconditioning and increased risk for cardiovascular events. 16,20 Hence, the analysis of HR off-kinetics has become an interesting and practical tool to assess cardiovascular integrity. However, it is still unknown the degree of correlation between the direct and indirect measurements and the HR kinetics during recovery after the 6MWT in individuals with COPD.…”

Section: Introductionmentioning

confidence: 99%

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<p>Association Between the Predictors of Functional Capacity and Heart Rate Off-Kinetics in Patients with Chronic Obstructive Pulmonary Disease</p>

Camargo¹,

Ditomaso-Luporini²,

Carvalho³

et al. 2020

COPD

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Background The heart rate (HR) kinetics as well as other predictors of functional capacity such as the Chronic Obstructive Pulmonary Disease (COPD) Assessment Test (CAT), the Duke Activity Status Index (DASI) and the handgrip strength (HGS) represent important tools in assessing the impact of COPD on exercise performance and health status of individuals with COPD. Purpose To verify the relationship between functional capacity, measured using the six-minute walking test (6MWT), with the HR off-kinetics, HGS and the DASI and CAT scores. Methods For this cross-sectional study, 29 subjects with COPD underwent body composition, pulmonary function and cardiac function tests. Subsequently, the DASI and CAT questionnaires and HGS test were performed. The beat-to-beat R-R intervals (IRR) were collected in rest, during the test and in recovery after the 6MWT. The HR off-kinetics was obtained during a 360-second period in post-exercise recovery through the HR mono-exponential decay. Results Moderate correlations were observed between: 1) walked distance (WD) in the 6MWT and the CAT and DASI scores (r= −0.58, p=0.001 and r= 0.58, p=0.001, respectively); 2) WD and HGS (r=0.37, p=0.05); 3) and WD and HR off-kinetics (τ; r= −0.54, p=0.002 and MRT; r= −0.55, p=0.002, respectively). Conclusion The 6MWT performance is a direct measurement to evaluate functional capacity. Additionally, it is related to other direct and indirect markers for functional evaluation in patients with COPD. These results suggest the application of these tools in clinical practice, based on the accessibility, non-invasive character and easy applicability of these methods.

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Identifying and Assessing Self-Management Behaviours

Henriques

Camolas

Pimenta

et al. 2023

A Practical Guide on Behaviour Change Support for Self-Managing Chronic Disease

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This chapter firstly describes target behaviours for chronic diseases, chosen based on their prevalence and potential for self-management: type 2 diabetes, chronic obstructive pulmonary disease, hypertension, heart failure, obesity, asthma and ischaemic heart disease. High-level target behaviours (e.g. diet, physical activity, medication adherence, smoking cessation, symptom monitoring and management) are presented for each of these diseases when applicable, accompanied by low-level target behaviours. Next, we address ways of assessing these target behaviours – diet, physical activity, medication adherence and smoking cessation – a necessary first step for understanding these behaviours and identifying needs.

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Heart Rate Recovery, Physical Activity Level, and Functional Status in Subjects With COPD

Cited by 23 publications

References 27 publications

Impaired heart rate recovery as a predictor for poor health-related quality in patients with transient ischemic attack

Impaired heart rate recovery as a predictor for poor health-related quality in patients with transient ischemic attack

<p>Association Between the Predictors of Functional Capacity and Heart Rate Off-Kinetics in Patients with Chronic Obstructive Pulmonary Disease</p>

Identifying and Assessing Self-Management Behaviours

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