Literature DB >> 19060991

The relationship between heart rate reserve and oxygen uptake reserve in heart failure patients on optimized and non-optimized beta-blocker therapy.

Vitor Oliveira Carvalho1, Guilherme Veiga Guimarães, Edimar Alcides Bocchi.   

Abstract

BACKGROUND: The relationship between the percentage of oxygen consumption reserve and percentage of heart rate reserve in heart failure patients either on non-optimized or off beta-blocker therapy is known to be unreliable. The aim of this study was to evaluate the relationship between the percentage of oxygen consumption reserve and percentage of heart rate reserve in heart failure patients receiving optimized and non-optimized beta-blocker treatment during a treadmill cardiopulmonary exercise test.
METHODS: A total of 27 sedentary heart failure patients (86% male, 50+/-12 years) on optimized beta-blocker therapy with a left ventricle ejection fraction of 33+/-8% and 35 sedentary non-optimized heart failure patients (75% male, 47+/-10 years) with a left ventricle ejection fraction of 30+/-10% underwent the treadmill cardiopulmonary exercise test (Naughton protocol). Resting and peak effort values of both the percentage of oxygen consumption reserve and percentage of heart rate reserve were, by definition, 0 and 100, respectively.
RESULTS: The heart rate slope for the non-optimized group was derived from the points 0.949+/-0.088 (0 intercept) and 1.055+/-0.128 (1 intercept), p<0.0001. The heart rate slope for the optimized group was derived from the points 1.026+/-0.108 (0 intercept) and 1.012+/-0.108 (1 intercept), p=0.47. Regression linear plots for the heart rate slope for each patient in the non-optimized and optimized groups revealed a slope of 0.986 (almost perfect) for the optimized group, but the regression analysis for the non-optimized group was 0.030 (far from perfect, which occurs at 1).
CONCLUSION: The relationship between the percentage of oxygen consumption reserve and percentage of heart rate reserve in patients on optimized beta-blocker therapy was reliable, but this relationship was unreliable in non-optimized heart failure patients.

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Year:  2008        PMID: 19060991      PMCID: PMC2664269          DOI: 10.1590/s1807-59322008000600003

Source DB:  PubMed          Journal:  Clinics (Sao Paulo)        ISSN: 1807-5932            Impact factor:   2.365


INTRODUCTION

Heart failure is considered to be the last stage of heart disease, and it is a significant cause of mortality and morbidity in the world.1 In recent years, beta-blocker therapy has become a primary pharmacologic intervention in patients with heart failure. Although improvement in aerobic capacity has not been proven,2 the use of this therapy arises from an abundance of evidence demonstrating that beta-blockers improve survival and reduce hospitalization.3 The cardiopulmonary exercise test is a well-established technique used in heart failure patients to evaluate peak oxygen consumption (pVO2). Oxygen consumption (VO2) is the best prognostic variable in heart failure patients, and it remains so even in the beta-blocker era.4 Aerobic exercise training is also a well-established non-pharmacological method used to increase pVO2 in heart failure patients. In this population, prescription of adequate aerobic exercise intensity based on heart rate is crucial to permit both an increase in exercise capacity and reasonable control of exercise-related risk.1,5,6 Heart rate and VO2 are strongly related from rest to the peak of the treadmill cardiopulmonary exercise test in normal individuals.7 This association is especially true when the relationship between the percentage heart rate reserve (%HRR) and percentage oxygen consumption reserve (%VO2R) is considered.8 A previous study demonstrated that the %VO2R versus %HRR relationship was unreliable for aerobic effort relative intensity assessment in heart failure patients that were on or off beta-blocker therapy. However, these patients were not optimized with a beta-blocker therapy.8 The aim of this study was to evaluate the %HRR-%VO2R relationship in heart failure patients on optimized and non-optimized beta-blocker therapy during a treadmill cardiopulmonary exercise test.

MATERIALS AND METHODS

Study population

Twenty-seven sedentary heart failure patients (86% male, 50±12 years) on optimized beta-blocker therapy with a left ventricle ejection fraction of 33±8% (echocardiography) and thirty-five sedentary non-optimized heart failure patients (75% male, 47±10 years) with a left ventricle ejection fraction of 30±10% were included in the study. Data were collected from March 2006 to February 2008. Characteristics of the heart failure patients are listed in Table 1. Patients with the following conditions were excluded from the study: atrial fibrillation, use of a pacemaker, noncardiovascular functional limitations (e.g. osteoarthritis), chronic obstructive pulmonary disease, and patients not receiving beta-blocker therapy. Optimization was defined as 50 mg/day or more of Carvedilol and a resting heart rate between 50 and 60 beats per minute for at least three months.9
Table 1

Characteristics of the heart failure patients

CharacteristicsNon-OptimizedOptimizedp
Etiology:
 Ischemic40%37%NS
 Idiopathic dilated cardiomyopathy57%48%NS
 Hypertensive3%15%<0.0001
NYHA functional class:
 I20%42%NS
 II37%20%NS
 III43%38%NS
Current medications:
Diuretics94%93%NS
 Furosemide74%, 42±15mg/day63%, 50±30 mg/dayNS
 hydrochlorothiazide20%, 25±0mg/day30%, 28±9 mg/dayNS
ACE inhibitor82%80%NS
 enalapril68%, 25±16mg/day65%, 38±6 mg/dayNS
 Captopril14%, 25±15mg/day15%, 94±37 mg/day0.006
Angiotensin II AT1 receptor antagonists (losartan)18% 83±29mg/day20%, 80±27 mg/dayNS
β-Adrenergic receptor blocker (Carvedilol)100%, 21±7mg/day100%, 53±10 mg/day<0.0001
Spironolactone70%, 26±4mg/day35%, 25±0 mg/dayNS
Digoxin64%, 0.25±0mg/day46%, 0.25±0 mg/dayNS
Isosorbide 5-mononitrate14%, 45±16mg/day19%, 56±35 mg/dayNS
Hydralazine8%, 37±18mg/day19%, 80±27 mg/dayNS
This protocol was approved by the Ethical Committee of the study institution. All patients provided informed consent before participation.

Cardiopulmonary exercise test

Heart failure patients receiving optimized or non-optimized beta-blocker therapy were asked to refrain from any strenuous physical activities for 24 hours before testing and to avoid the consumption of any stimulants (e.g., coffee, tobacco, alcohol) that especially may influence heart rate. Their last meal was ingested at least three hours before the start of the test. All subjects underwent the cardiopulmonary exercise test on a programmable treadmill (Series 2000; Marquette Electronics; Milwaukee, WI, USA) in a temperature-controlled room (21–23°C) between 10:00 a.m. and 3:00 p.m. Patients were monitored via standard 12 lead continuous electrocardiograms (Max 1; Marquette Electronics; Milwaukee, WI, USA) and auscultation for blood pressure. Minute ventilation, oxygen uptake, carbon dioxide output, and other cardiopulmonary variables were acquired breath-by-breath by a computerized system (Vmax 229 model, SensorMedics, Yorba Linda, CA, USA). The resting VO2 and heart rate were computed as the mean values for the final 30 seconds of the resting period, whereas the pVO2 and peak heart rate were the mean values for the final 30 seconds of effort before exhaustion. The heart rate reserve and oxygen consumption reserve were calculated as the difference between the peak and resting heart rate and the mean VO2 value, respectively. The %HRR was calculated as: %HRR = submaximal heart rate − rest heart rate/heart rate reserve × 100. The %VO2R was calculated as: %VO2R = submaximalVO2 − restVO2/VO2reserve × 10010. Resting and peak effort values of both the %VO2R and %HRR were, by definition, 0 and 100, respectively. Respiratory exchange ratios were recorded as the average of samples obtained during each stage for each heart failure patient’s protocol (modified Naughton protocol). A satisfactory cardiopulmonary exercise test was characterized by a respiratory exchange ratio of greater than 1.05 and symptoms of maximum effort.

Current medication intake

All heart failure patients received a beta-blocker (Carvedilol) and an angiotensin converting enzyme inhibitor (Enalapril/Captopril) or an angiotensin II AT1 receptor antagonist (losartan). The medication profile of the heart failure patient group is shown in Table 1. Patients took a beta-blocker, Angiotensin Converting Enzyme inhibitors, Angiotensin II AT1 receptor antagonists, and Isosorbide 5-mononitrate two times per day. Half of the daily dose was taken in the morning (9:00 a.m.), and the other half was taken at night (9:00 p.m.). Diuretics, digoxin, and spironolactone were taken in the morning (9:00 a.m.).

STATISTICAL ANALYSIS

Descriptive analyses are presented as mean and standard deviation (SD). Linear regression and Pearson product moment coefficients were used to determine the relationship between the %HRR and %VO2R in both heart failure groups. The %HRR was chosen as the independent variable since it is currently used in rehabilitation programs to predict %VO2R values (i.e., aerobic exercise relative intensity) in the absence of a basal cardiopulmonary exercise test. A one-sample t-test was used to verify whether the means of individual slopes and y-intercepts differed from those of the corresponding group regression and from the line of identity (i.e., from slope=1 and y-intercept=0). This methodology was used in a previous study.10 To compare the rest, peak, and reserve heart rates, age, Body Mass Index (Kg/m2), respiratory exchange ratio, left ventricle ejection fraction, pVO2, VO2 reserve, and current medication between optimized and non-optimized beta-blocker therapy groups, we used one-sample t-tests. To compare heart failure etiology and New York Heart Association functional class, we used Fisher’s exact test. Data were analyzed using Statistical Package for Social Sciences (SPSS) for Windows, v 11.5 (SPSS Inc, Chicago, IL). Statistical significance was defined as p < 0.05.

RESULTS

Demographic and clinical characteristics

The non-optimized and optimized groups were well matched for age, body mass index and sex (Table 2). The only noted difference in etiology was hypertension and in current medication intake were Captopril and Carvedilol. There were no observed significant differences in the New York Heart Association functional class (Table 1).
Table 2

Characteristics of the heart failure patients

CharacteristicsNon-OptimizedOptimizedp
Age, years47±1050±12NS
Male, %8675NS
Body Mass Index, Kg/m226±425±3NS
Respiratory Exchange Ratio1.08±0.051.10±0.08NS
LVEF (echocardiography), %30±1033±8NS
pVO2, mLO2.Kg−1.min−118±519.6±6NS
VO2 Reserve, mLO2Kg−1.min−114,9±4,516,6±5,7NS
Resting Heart Rate, bpm79±1058±3<0.0001
Peak Heart Rate, bpm125±16111±190.008
Heart Rate reserve, bpm47±1553±19NS

LVEF: Left ventricle ejection fraction; pVO2: Peak Oxygen Consumption.

Ergometric characteristics

As expected, the rest and peak heart rates in the optimized beta-blocker therapy group were lower than those in the non-optimized group. Heart rate reserve did not differ between the groups (Table 2). The pVO2 and VO2 reserve in the optimized group did not differ from those in the non-optimized group. The respiratory exchange ratio also did not differ between the groups (Table 2).

Regression analysis

The %VO2R was strongly related to the %HRR in optimized and non-optimized patients analyzed stage-by-stage during the cardiopulmonary exercise test (r=0.95, p<0.0001 with 9.3 of residual SD and r=0.91, p<0.0001 with 12.7 of residual SD, respectively). The mean regression line coincided with the line of identity in the optimized beta-blocker therapy group (p=0.31), but this relationship was not observed in non-optimized patients (p=0.012) (Figures 1 and 2).
Figure 1

Relationship between percentage of heart rate reserve (%HRR) and percentage of oxygen consumption reserve (%VO2R) in optimized heart failure patients. The plot represents stage by stage regression of the cardiopulmonary exercise test. The dotted is the identity line, the full line is regression line

Figure 2

Relationship between percentage of heart rate reserve (%HRR) and percentage of oxygen consumption reserve (%VO2R) in non-optimized heart failure patients. The plot represents stage by stage regression of the cardio-pulmonary exercise test. The dotted line is the identity line, the full line

The mean heart rate slope for the non-optimized group was derived from the points 0.949±0.088 (0 intercept) and 1.055±0.128 (1 intercept) and had a 95% of confidence interval from −0.171 to −0.537 (p<0.0001). The heart rate slope for the optimized group was derived from the points 1.026±0.108 (0 intercept) and 1.012±0.108 and had a confidence interval from −0.011 to 0.016 (p=0.47). Regression linear plots for the heart rate slope during the cardiopulmonary exercise test for each patient in the non-optimized and optimized groups are shown in Figure 3. This regression analysis revealed a slope of 0.986 (almost perfect, which is achieved with a slope of 1) for the optimized group, but the regression analysis for the non-optimized group was 0.030 (far from perfect, which occurs at values of less than 1).
Figure 3

Linear regression between 0 intercept and 1 intercept HR slope of each optimized(A) and non-optimized(B) heart failure patient

DISCUSSION

The main finding of this study is that the use of the relationship between the %HRR and %VO2R for the aerobic effort relative intensity assessment and prescription is reliable for heart failure patients on optimized beta-blocker therapy but unreliable for non-optimized heart failure patients.

Relationship between the %HRR and %VO2R in non-optimized beta-blocker heart failure patients

The %HRR and %VO2R are strongly related from rest to the peak of the treadmill cardiopulmonary exercise test in normal individuals.7,8 Motivated by the report of this relationship, Mezzani et al investigated the %HRR and %VO2R relationship in normal individuals and heart failure patients with and without beta-blocker therapy.8 The hypothesis that these heart failure patients would have the same comportment as normal individuals was frustrated by the non-coincidence between the regression line and identity line (i.e., the unreliability of the %HRR-%VO2R relationship). In this case, the patients on beta-blocker therapy were administered a mean Carvedilol dose (22±14 mg/day) similar to that administered to those in our non-optimized beta-blocker therapy group (21±7 mg/day). As expected, the regression line in our study was similar to those reported in other studies for non-optimized heart failure patients. Based on the results from Mezzani et al8 and our study, we cannot assess the aerobic effort relative intensity and prescribe exercise using the %HRR in non-optimized beta-blocker therapy heart failure patients. Another previous study evaluated the %HRR-%VO2R relationship in heart failure patients with and without beta-blocker therapy and found a perfect identity between these variables. However, this study had a number of limitations. For example, a fixed rest VO2 value (3.5 mLO2.Kg−1.min−1) was used, and no Carvedilol dosage was reported by the authors.11

Relationship between the %HRR and %VO2R in heart failure patients on optimized beta-blocker therapy

In our study, we found that the %HRR-%VO2R relationship was at the line of identity in optimized heart failure patients. This finding provides evidence for the reliability of the %HRR-%VO2R relationship, and it shows that the %HRR can be used to prescribe exercise training and assess aerobic effort relative intensity. Heart failure syndrome is characterized by an exacerbation of the sympathetic system, heart rate increase, and left ventricular dysfunction.12 This situation promotes poor cardiac function and decreased cardiac output.13,14 The maximal VO2 depends on cardiac output, which is expressed by the formula: VO2 = (systolic volume X heart rate) X arteriovenous oxygen difference.15 We hypothesized that optimized heart failure patients administered Carvedilol exhibit decreased heart rates and improved cardiac function during exercise, probably, more than the non-optimized patients. When we evaluated optimized patients, however, heart rate and sympathetic control seemed to be more rigorous (i.e., attenuated) and cardiac function improved during exercise. This may have restored the %HRR-%VO2R relationship.

Study limitations

Our study is limited by the low number of assessed patients. Additionally, we studied only one type of beta-blocker (Carvedilol) using one method of cardiopulmonary exercise test (treadmill).

CONCLUSION

The %HRR-%VO2R relationship in patients on optimized beta-blocker therapy was reliable during a treadmill cardiopulmonary exercise test, but this relationship was unreliable in non-optimized heart failure patients. Further studies are needed to fully understand %HRR-%VO2R relationship in heart failure patients.
  15 in total

1.  Recommendations for exercise testing in chronic heart failure patients.

Authors: 
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2.  I Latin American Guidelines for the Assessment and Management of Decompensated Heart Failure.

Authors:  Edimar Alcides Bocchi; Fábio Vilas-Boas; Sergio Perrone; Angel G Caamaño; Nadine Clausell; Maria da Consolação V Moreira; Jorge Thierer; Hugo Omar Grancelli; Carlos Vicente Serrano Junior; Denilson Albuquerque; Dirceu Almeida; Fernando Bacal; Luís Felipe Moreira; Adonay Mendonza; Antonio Magaña; Arturo Tejeda; Daniel Chafes; Efraim Gomez; Erick Bogantes; Estela Azeka; Evandro Tinoco Mesquita; Francisco José Farias B Reis; Hector Mora; Humberto Vilacorta; Jesus Sanches; David de Souza Neto; José Luís Vuksovic; Juan Paes Moreno; Júlio Aspe y Rosas; Lidia Zytynski Moura; Luís Antonio de Almeida Campos; Luis Eduardo Rohde; Marcos Parioma Javier; Martin Garrido Garduño; Múcio Tavares; Pablo Castro Gálvez; Raul Spinoza; Reynaldo Castro de Miranda; Ricardo Mourilhe Rocha; Roberto Paganini; Rodolfo Castano Guerra; Salvador Rassi; Sofia Lagudis; Solange Bordignon; Solon Navarette; Waldo Fernandes; Antonio Carlos Pereira Barretto; Victor Issa; Jorge Ilha Guimarães
Journal:  Arq Bras Cardiol       Date:  2005-09-29       Impact factor: 2.000

3.  Assessment of functional capacity in clinical and research settings: a scientific statement from the American Heart Association Committee on Exercise, Rehabilitation, and Prevention of the Council on Clinical Cardiology and the Council on Cardiovascular Nursing.

Authors:  Ross Arena; Jonathan Myers; Mark A Williams; Martha Gulati; Paul Kligfield; Gary J Balady; Eileen Collins; Gerald Fletcher
Journal:  Circulation       Date:  2007-06-18       Impact factor: 29.690

4.  Clinical effects of beta-adrenergic blockade in chronic heart failure: a meta-analysis of double-blind, placebo-controlled, randomized trials.

Authors:  P Lechat; M Packer; S Chalon; M Cucherat; T Arab; J P Boissel
Journal:  Circulation       Date:  1998-09-22       Impact factor: 29.690

5.  Relationship between % heart rate reserve and % VO2 reserve in treadmill exercise.

Authors:  D P Swain; B C Leutholtz; M E King; L A Haas; J D Branch
Journal:  Med Sci Sports Exerc       Date:  1998-02       Impact factor: 5.411

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7.  The effects of long-term beta-blockade on the ventilatory responses to exercise in chronic heart failure.

Authors:  Klaus K A Witte; Simon Thackray; Nikolay P Nikitin; John G F Cleland; Andrew L Clark
Journal:  Eur J Heart Fail       Date:  2005-06       Impact factor: 15.534

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Authors:  James O O'Neill; James B Young; Claire E Pothier; Michael S Lauer
Journal:  Circulation       Date:  2005-05-02       Impact factor: 29.690

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Authors:  Frank C Barone; Robert N Willette; Allen H Nelson; Eliot H Ohlstein; David P Brooks; Robert W Coatney
Journal:  Pharmacology       Date:  2007-06-04       Impact factor: 2.547

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Authors:  Guilherme Veiga Guimarães; Vitor Oliveira Carvalho; Edimar Alcides Bocchi
Journal:  Clinics (Sao Paulo)       Date:  2008-04       Impact factor: 2.365

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