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

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.

Introduction

Characterized by a progressive airflow limitation, the chronic obstructive pulmonary disease (COPD)1 involves important extrapulmonary manifestations that imply in quality of life impairments.2 Additionally, these limitations are also associated with more exacerbations and hospitalizations, accentuation of effort intolerance and are related to low survival rates.3 The exercise intolerance leads to a sedentary lifestyle which culminates in a progressive decline in functional capacity.4,5

In this sense, functional capacity assessment through exercise tolerance evaluation is valuable in patients with COPD because it offers information that could aid in the differential diagnosis, disease progression and intervention response monitoring, prognosis, and prediction of mortality,6 and may be evaluated in direct measurements such as six-minute walking test (6MWT) and handgrip strength (HGS) – widely used, validated and low-cost methods.7–10

The indirect measurements such as specific questionnaires may be complementary tools whenever the application of field tests is impracticable.11–13 The Duke Activity Status Index (DASI) is a brief, quick and simple questionnaire, capable of predicting oxygen consumption (V̇O2). This questionnaire does not require the application of a maximal cardiopulmonary exercise test, which is a high-cost, space-demanding, involves an operational team and specialized equipment – most commonly found in research laboratories.14 Likewise, the COPD Assessment Test (CAT) is a short questionnaire that quantifies the impact of symptoms in patients with COPD. Additionally, the CAT is useful to evaluate the individuals’ health status, as well as the impact of exercise intolerance in daily routine, well-being and general health of these patients1 and described an appliance that can be estimating the V̇O2 peak.15

Besides the high correlation with mortality predictors in patients with COPD such as the BODE,16 the 6MWT also enables the evaluation of functional capacity, symptoms, as well as, cardiovascular variables that are also considered to be important to predict functional capacity.16–19 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.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.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. In this sense, we hypothesized that these individuals would present a diminished functional capacity, as well as slowed cardiac responses, which consequently contributes to the occurrence of comorbidities and increased cardiovascular risk followed by sudden death. Thus, the aim of the study was to identify whether there is a relationship between functional capacity, obtained through the 6MWT, and HR kinetics, evaluated using direct and indirect measures for the functional assessment.

Methods

Study Design

This transversal study included men and women with COPD, aged ≥50 years in the city of Sao Carlos/SP. For recruitment, medical records were actively searched in the Pneumology Outpatient Clinic of the Center of Medical Specialties (CEME) of Sao Carlos, in the Health-School Unit (USE) and in previous studies carried out in the Cardiopulmonary Physiotherapy Laboratory (LACAP) of the Federal University of Sao Carlos (UFSCar), between July 2017 and July 2019. After medical records evaluation, the invitations to participate in the study were made by phone call. Their participation was conditioned to a period of disease stability (at least 3 months from the last exacerbation) and optimized medication use before starting the assessments. Participants were not included in the study if they refused to participate, did not answer phone calls, inaccurate phone information and deaths.

Exclusion criteria involved use of home oxygen therapy, diabetes mellitus, uncontrolled arterial and pulmonary hypertension; history of cardiac arrhythmias and potential alterations in the electrocardiogram; neurological and orthopedic conditions that precluded the performance of the required protocol. The study followed the Declaration of Helsinki and was approved by the Ethics and Research Committee of the Federal University of Sao Carlos, Sao Paulo, Brazil (CAAE nº 2.597.588) approved the study. All participants were informed about the objectives, experimental procedures and potential risks involved in trial and signed a consent form before the beginning of the study.

Experimental Procedures

Assessments were performed in two separate days, in which the first day was composed of clinical assessments, body composition, pulmonary function test (for diagnostic confirmation and disease staging), echocardiogram (for exclusion criteria ratification), questionnaires and HGS. On the second day, subjects performed the functional capacity test.

First Assessment Day

Anamnesis and physical exam were performed to obtain information about general health status, drugs currently used and anthropometric measurements of the individuals. The evaluation of body composition was made by the measurement of stature using a stadiometer (Welmy R-110, Santa Barbara d’Oeste, Sao Paulo, Brazil). Individuals were positioned in the center of the equipment, standing upright, barefoot, arms extended at the side of the body and head facing forward at a right angle to the neck. The body mass and body mass index were obtained through bioelectrical impedance (InBody® 720, Biospace Co. Ltd, Seoul, Korea), following the same positioning and orientations previously described. Additionally, subjects were instructed to wear light clothing and to fast for at least 4 hours.25

The pulmonary function test was evaluated using spirometry (CPFS/D® Medgraphic, MGC Diagnostics Corporation, St. Paul, MN, USA), performed by a previously trained researcher, which used conventional techniques and followed the technical recommendations, of acceptability and reproducibility from the American Thoracic and European Respiratory Societies (ATS/ERS).26 At least three slow, forced, acceptable and reproducible maneuvers were performed and repeated 20 minutes after the inhalation of Salbutamol Sulfate (400 µg).

The echocardiogram applied to exclude any individual with heart failure was performed using the equipment Philips HD11 (Bothell Everett Highway; Bothell, WA, USA) carried out by a specialist physician which followed the American Society of Echocardiography.27 Patients were evaluated in left lateral decubitus and individuals that presented left ventricle ejection fraction <50% were excluded.

The Portuguese versions of the questionnaires employed in the study were previously validated and were applied for a trained professional.28,29 The CAT is composed of eight items (cough, phlegm, chest tightness, breathlessness, limited activities, confidence leaving home, sleeplessness and energy) purposed to evaluate and quantify the impact of symptoms in patients with COPD. The patients with COPD are classified into mild (6–10), moderate (11–20), severe (21–30) and very severe (31–40).1 Regarding the DASI, the higher the scoring (maximal score: 58.2), the higher the estimated V̇O2, which represents a better physical fitness.14

The HGS (kgf) was evaluated using a hydraulic dynamometer (Jamar Jackson, MI 49,203, USA). Patients should be seated, elbows flexed at 90º, forearm and wrist in neutral position, according to the American Society of Hand Therapists recommendations. Three voluntary contractions, split by 60 s of rest, were performed with the dominant upper limb.30,31

Second Assessment Day

For the 6MWT, subjects were instructed and encouraged (ie, standardized verbal encouragement) to walk the longest possible distance in 6 minutes on a 30-meter long and flat corridor, previously demarked by a colored tape. It was emphasized that in case of necessity, the participant could interrupt the test at any moment. The test was performed two times 30 minutes apart, according to the American Thoracic Society32 recommendations, and the best performance (ie, the largest walked distance covered [WD]) was selected for the analysis. Prior to each test, two periods of 4 minutes in seated rest and then in orthostatic position were respected. The registry of the best performance (WD in meters), as well as the occurrence and duration of the pauses during walking and desaturation >4% were made at the peak of the exercise. After exercising, a 6-minute rest was considered.

The HR (Polar S810i®, Kempele, Oulu, Finland) and the systemic arterial pressure (Sphygmomanometer BIC®, Itupeva, Sao Paulo) were measured using the auscultatory method (stethoscope Littman® Classic II, USA). The peripheral oxygen saturation (SpO2), measured using a digital oximeter (Nonin®, modelo 2500, Minneapolis, MN, USA), and the modified BORG CR-10 rated-perceived scale33 were monitored and registered in the pre-test rest, at peak exercise and in the first, third and sixth minutes of recovery.

Heart Rate Off-Kinetics Analysis

The HR off-kinetics data were firstly extracted from the cardio-frequency meter by using the software Polar ProTrainer® 5. Following, after visual inspection to verify the signal quality and the constant characteristic of the test, with the steady-state HR responses profile between 60% and 85% of the maximal HR, predicted for each participant.34 The exponential modeling was performed using a specific routine developed in the software CardioKin 1.2, according to the parameters calculated by a certified LabVIEW-associated developer (LabVIEW 2012, National Instruments, Austin, TX, USA), which follows the pattern of Levenberg-Marquardt.35

A monoexponential modeling was used for the post-exercise recovery phase (360 seconds), f(t) = a0 + A (1 – e (t-TD)/τ), where f(t) represents HR at any moment, a0 represents the baseline value corresponding to the mean HR of the last minute of exercise, A (bpm) is the amplitude of the steady-state HR responses, τ represents the exponential time constant (s), which must reach 63% of the steady-state response (ie, HR adaptation), and TD (s) represents the time delay to the beginning of the HR response. The mean response time (MRT) was calculated as the sum of τ and TD for the general kinetic evaluation36 and the signal quality, assured by analysis of residues.37

Tests were excluded from the analysis if they presented an incremental characteristic or pauses during the exercise.

Study Outcomes

The primary outcomes of the study were the functional performance during the 6MWT and the HR off-kinetics (transition from the exercise to recovery). The secondary outcomes were the associations between the WD and the HGS, the DASI score, the CAT score and the behavior of cardiovascular variables during recovery after the 6MWT.

Statistical Analysis

The sample size calculation was made using the software GPower 3.1 (Kiel University, Kiel, Germany), considering a correlation of 0.5 for the effect size; α = 0.05; sample power of 85%. The calculus indicated a sample size of 29 subjects.

The software used for statistical analysis were the Statistical Package for Social Science version 20 (SPSS Inc., Chicago, IL, USA) e Graphpad Prism 8 (GraphPadPrism, La Jolla, California). The normality of data was verified using the Shapiro–Wilk test, expressed as mean and 95% confidence interval (IC 95%). Following, Pearson and Spearman correlation tests were applied according to the nature of the distribution of the data for the HR off-kinetics (a0, A, TD, τ, MRT), the HGS and the CAT and DASI scores. The magnitude of correlations was determined considering the following classification scheme for r values: ≤0.35 low or weak; 0.36 ≤ 0.67 moderate; ≥0.68 strong or high; ≥0.9 very high; and perfect: 1.38

There were excluded from the analysis all individuals that presented pauses and interruptions during the 6MWT or did not reach 60% to 85% of the maximal HR during the exercise.

The level of significance adopted was 5%.

Results

Overall, 146 individuals from the Pneumology Outpatient Clinic of the CEME of Sao Carlos and the Health-School Unit (UFSCar) were screened, in which 89 were not eligible for the study. From the remaining 56 individuals, 10 were excluded for 6MWT interruption due to decline in SpO2 (>4%). These individuals were classified as: 1 (10%), Global Initiative for Chronic Obstructive Lung Disease (GOLD) I; 2 (20%), GOLD II; and 7 (70%), GOLD III. These individuals presented pauses of approximately 1.1±0.3 minutes during the walking period, with mean duration of 1.65±0.9 minutes. All participants returned to exercise after this period.

Only one individual required oxygen supplementation (1L/min) during the pause and continued its use until the end of the post-test recovery, being excluded from the final sample. Six individuals were excluded for not reaching the minimal intensity of 60% of maximal HR; two for presenting incremental pattern of exercise; and eight for poor cardio-frequency meter signal quality, which precluded analysis. None of the individuals presented any signal of intolerance to exercise. The final sample was composed of 29 individuals (Figure 1).

Figure 1

Flowchart of screening and study participants.

Table 1 shows the demographic, anthropometric and spirometric characteristics, and functional capacity of the patients with COPD, which was predominantly composed of men. Five patients (17.2%) were classified as mild COPD (GOLD I), 15 (51.7%) as moderate COPD (GOLD II), nine (31%) as severe COPD (GOLD III) and one (3.4%) as very severe COPD (GOLD IV).

Table 1

Baseline Patient Characteristics

Variables	COPD (n=29)
Demographic and anthropometric
Male n (%)	21 (72)
Age (years)	66 (63.32 – 69.03)
Body Mass (kg)	69.8 (62.98 – 76.70)
Height (m)	1.67 (163.73 – 169.79)
BMI (kg/m2)	25.2 (23.2 – 27.2)
Pulmonary function
FEV1 (L)	1.58 (1.30 – 1.86)
FEV1 (%)	56.9 (49.64 – 64.21)
FVC (L)	2.90 (2.54 – 3.25)
FVC (%)	82.5 (75.72 – 82.39)
FEV1/FCV	0.53 (0.49 – 0.57)
GOLD (I/ II/ III/IV)	5 / 15 / 9 / 1
CAT	12 (3 - 28)
Echocardiography
RV (mm)	32.8 (30.2 – 35.4)
EF (%)	69.6 (65.6 – 73.6)
Therapies
SABA n (%)	12 (41.4%)
LABA n (%)	13 (44.8%)
LAMA n (%)	10 (34.5%)
Inhalation corticoide n (%)	3 (10.3%)
ACE inhibitor. n (%)	14 (48.3)
Beta-blocker n (%)	6 (20.7%)
Others n (%)	9 (31%)

Note: Data expressed as mean and 95% confidence interval (95% CI) and interquartile range (25–75%).

Abbreviations: COPD, chronic obstructive pulmonary disease; BMI, body mass index; FEV1, forced expiratory volume in the first second; FVC, forced vital capacity; FEV1/FVC, ratio of forced expiratory volume in the first second to forced vital capacity; CAT, COPD Assessment Test; RV, right ventricle diameter; EF, ejection fraction; SABA, short-acting beta-2-agonist; LABA, long-acting beta-2-agonist; LAMA, long-acting anticholinergic; ACE inhibitor, angiotensin-converting enzyme inhibitor.

Figure 2 displays the correlations between symptomatology, functional capacity and HR off-kinetics. Moderate negative correlations were found between functional capacity (WD and DASI) and symptomatology, referred by the CAT questionnaire; moderate positive correlations were found between functional capacity (WD) and DASI questionnaire, and between functional capacity and HGS. Likewise, there were moderate negative correlations between functional capacity (DC) and τ, and between functional capacity and MRT (r= −0.54 and p=0.002; r= - 0.55 and p=0.002, respectively). Table 2 presents the functional capacity results, obtained through 6MWT, and the HR off-kinetics parameters of the individuals with COPD.

Figure 2

Correlation between functional capacity in the six-minute walk test and: (A, B) the symptoms referred by the CAT; (C) DASI; (D) the handgrip strength test; (E) the time constant of heart-rate recovery kinetics and (F) the mean response time of heart-rate recovery kinetics.

Table 2

Functional capacity and kinetic responses of heart rate on the recovery phase of the 6MWT

Variables	COPD (n=29)
Functional Capacity
DASI	35 (30 - 40)
HGS (kgf)	30 (26.6 - 33.5)
6MWT (WD, m)	473 (436.82 – 509.29)
6MWT (%predict)	91 (84.33 – 98.56)
Kinetic off HR
a0 (bpm)	110 (105.01 – 115.02)
A (bpm)	28 (23.89 – 32.55)
TD (s)	18 (10.83 – 22.74)
τ (s)	55 (40.62 – 69.65)
MRT (s)	72 (58.67 – 85.18)

Note: Data expressed as mean and confidence interval (95% CI).

Abbreviations: DASI, Duke Activity Status Index; HGS, handgrip strength; 6MWT, six-minute walk test; a0, baseline value corresponding to the HR value of the final minute of the exercise period; A, amplitude of the magnitude of the steady-state heart-rate response; TD, time delay for the start of the HR response; τ, exponential time constant; MRT, mean response time.

Discussion

Our aims were to verify the association between functional capacity, obtained through the 6MWT, and HR off-kinetics, measured using direct and indirect measures for the functional assessment of patients with COPD. The main findings were: 1) moderate negative association between functional test performance and symptomatology, referred by the CAT and the level of physical activity, indirectly obtained through the DASI; 2) moderate positive association between functional capacity measured using the HGS and the DC; 3) negative correlations between HR off-kinetics and the DC.

The previous studies indicate that the peripheral muscle dysfunction and bioenergetic abnormalities in skeletal muscle are related to functional capacity and symptomatology during exercise.39–41 In accordance, once our findings demonstrated that the larger the symptomatology, the lower the WD and the physical fitness (Figure 2), the presence of dyspnea is related to alterations in the respiratory, cardiovascular and neuromuscular systems.42

Besides the measurement of functional capacity, the WD is capable of predicting a larger number of exacerbation episodes and mortality risk among the individuals with COPD43,44 that cover <350 meters in the 6MWT.43 However, this value cannot be applied to the Brazilian population once it presents a higher functional performance when compared to international populations.4,45,46 In this sense, since the Brazilian population lacks a representative parameter, it has been considered that the functional capacity is classified as satisfactory in case the individual covers 80% of the ideally estimated WD.43 The percentage of WD in the 6MWT reflects the individual’s performance in relation to the studied population, enabling a higher control of biases regarding the absolute value. In the present study, patients presented ~91% of WD, as well as a good level of physical activity according to the DASI score (35 [30-40]), thus indicating a satisfactory functional capacity.47,48 This performance might be related to a higher percentage of individuals with mild and moderate degrees of disease (~83% of the total sample).

The dyspnea presented in COPD restricts the individuals from performing the activities of daily living and evokes the adoption of a sedentary lifestyle, which consequently induces declines in muscle mass and strength9,49–52 as demonstrated by the individuals in this study by through the HGS (~30 kgf, displayed in Table 2). Moreover, studies have demonstrated a strong correlation between HGS and muscle volume and strength of upper and lower limbs.53 Additionally, HGS has been also associated with functional capacity in individuals with COPD and inversely associated with mortality risk.10,54,55

Interestingly, our study found a moderate correlation between the different instruments that assess functional capacity by different metabolic pathways and even considering subjectivity intrinsic to the DASI. Despite the three tools – 6MWT, HGS and DASI questionnaire – evaluate functional capacity, there are differences between these methods. The 6MWT and HGS are direct measures, and the latter represents an indirect measure, and therefore, subjectively evaluate such outcome. The 6MWT is a dynamic exercise testing that enables a global evaluation of the cardiorespiratory, muscular and metabolic systems and involves the oxidative bioenergetic system, characterized by the higher recruitment of slow-twitch fibers (type I).56 The HGS evaluates the isometric contraction strength of the upper limb that comprises the activation of a lower quantity of muscles and involves the glycolytic energy system, which is predominantly composed of type II fibers.31 On the other hand, the DASI indirectly evaluates V̇O2 by a questionnaire related to activities of daily living, involving the individual’s perception and self-report.14

Regarding the HR off-kinetics, Vasilopoulou et al (2012) used a non-invasive method to investigate the MRT, cardiac debt and systolic volume of HR in the beginning, during a constant-load displacement exercise and in the 6MWT in patients with different levels and severity degrees of COPD. The authors found MRToff values of ~41s, ~48s, ~69s e ~93s, for mild, moderate, severe and very severe degrees of COPD, respectively, in which each group represented 25% of the total sample. Despite the absence of stratification by severity, our sample was predominantly composed by moderate COPD (51.7%), with mean MRT of ~72s, which presented to be similar to the subgroup severe (~69s) noted in Vasilopoulou et al (2012) and emphasizes the higher cardiovascular impairment of our sample. The presence of dynamic hyperinflation during the exercise imposes negative cardiovascular effects such as diastolic dysfunction, which implies in worse results during and after exercise and may assist the understanding of the presented behavior;16,19,23 however, this condition was not evaluated in our study. Thus, it is suggested that future studies address the relation between the dynamic hyperinflation and the HR kinetics during post-exercise recovery.

Pessoa et al also found delayed kinetic responses related to V̇O2 in individuals with COPD (higher τ and MRT values) when compared to control group. These findings were justified by the severity of the airflow obstruction and functional capacity limitation. However, these results were observed in a cycle ergometer and during the exercise phase, differently from our study, that evaluated the recovery after the 6MWT.

Comparing the means of τ and MRT presented in our study with the values described by Simões et al for healthy older adults (55s vs ~30s and 73s vs ~ 40s, for τ and MRT, respectively), it is inferred that our sample presented greater impairment in the responses of such variables. Possibly, to our findings, the impairments in the cardiac autonomic modulation caused by the COPD were added to the effects of ageing, favoring the delay in HR recovery responses. In this sense, Bonança et al57 demonstrated that τ and MRT were larger in patients with COPD with associated heart failure (HF-COPD) when compared to individuals that presented only heart failure (HF). This fact emphasizes that the lower ventilatory efficiency presented by HF-COPD patients results in worse V̇O2 off-kinetics.

The present study presents some limitations to be considered. The low number of individuals among different GOLD classification does not allow, at the time, that the results are generalized for the COPD population, whereas that individuals with lighter severities are usually asymptomatic and with a little participation in health and rehabilitation services. In addition, due to this element of the sample, it was not possible to point out, by these estimates, which are the most serious and are the main responders when compared to other illness severities. However, we emphasize the relevance of the study, considering the simplicity, practicality, low cost and agreement of the different functional capacity assessment instruments. However, future studies are needed to understand and evaluate the influence of lung function, as well as, the referred symptoms of the disease, on the heart-rate recovery behavior in the different GOLD classifications, in addition to allowing, with the monitoring over time of these variables, greater support for the rehabilitation programs of these individuals.

Conclusion

The 6MWT performance is directly associated with other strong, direct and indirect, predictors of functional capacity. Additionally, the 6MWT is inversely associated with the HR off-kinetics in individuals with COPD. These findings demonstrate that simple, direct and indirect tools may be useful for functional evaluation whenever the application of field tests is impracticable.