Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2020 Nov 23.
Published in final edited form as: J Cardiopulm Rehabil Prev. 2020 May;40(3):174–177. doi: 10.1097/HCR.0000000000000459

Impact of β-Blockers on Heart Rate and Oxygen Uptake During Exercise and Recovery in Older Patients With Heart Failure With Preserved Ejection Fraction

Sara Maldonado-Martín 1, Peter H Brubaker 2, Cemal Ozemek 3, Jon A Jayo-Montoya 4, J Thomas Becton 5, Dalane W Kitzman 6
PMCID: PMC7682249  NIHMSID: NIHMS1645246  PMID: 31899703

Abstract

Purpose:

The study aimed to investigate the differences in oxygen uptake (V˙o2) and heart rate (HR) (at rest, submaximal exercise, peak exercise, and recovery) in patients with heart failure with preserved ejection fraction (HFpEF) with β-blockers (BB) or without BB treatment (NBB) and to analyze the relationship between HR reserve (HRresv) and peak V˙o2 (V˙o2peak) in BB and NBB.

Methods:

A total of 174 HFpEF patients (>65 yr; BB, n = 59; NBB, n = 115) were assessed with a cardiopulmonary exercise test to peak exertion using an incremental protocol. After 5 min of supine rest, HR and V˙o2 (HRrest, V˙o2rest) at submaximal exercise (HRsubmax, V˙o2submax), at peak exercise (HRpeak, V˙o2peak), at 1 min of passive recovery (HRrec1), HRresv (HRpeak− HRrest), and HR recovery (HRrecov = HRpeak− HRrec1) were evaluated.

Results:

Analysis showed that HRrest (66.0 ± 12.2 vs 69.7 ± 10.6 bpm), HRsubmax (91.7 ± 16.2 vs 98.6 ± 15.2 bpm), and HRrec1 (102.9 ± 18.9 vs 109.4 ± 16.9 bpm) were significantly lower (P ≤ .05) in BB than in NBB, respectively. However, there were no significant differences (P ·> .05)·between the BB and the NBB for HRpeak, HRresv, HRrecov, V˙o2rest, V˙o2submax, and V˙o2peak. A significant relationship was found between HRresv, and V˙o2peak values in both groups (BB, r = 0.52; NBB, r = 0.49, P < .001).

Conclusions:

The nonsignificant differences in HRpeak, HRresv, HRrecov, or V˙o2 values between BB and NBB HFpEF patients, along with significant correlation between HRresv and V˙o2peak, suggest that these measures may have equal utility in prognostic and functional assessment as well as clinical applications, including the prescription of exercise, in elderly HFpEF patients.

Keywords: β-blockers, heart failure, heart rate, oxygen uptake, preserved ejection fraction


Approximately, half of heart failure (HF) patients present a left ventricular ejection fraction (EF) with a normal or preserved EF (HFpEF).1 Compared with HF patients with reduced EF (HFrEF), those with HFpEF are more likely to be older, female, and obese, and have a greater frequency of hypertension, diabetes mellitus, anemia, chronic kidney disease, and atrial fibrillation.2,3 Furthermore, exercise intolerance and an impaired heart rate (HR) response to exercise are commonly observed in HFpEF patients.2,4 While the optimal pharmacological treatment to reduce morbidity or mortality in HFpEF is unclear,5 combination therapies including mineralocorticoid antagonists, angiotensin-converting enzyme inhibitors/angiotensin receptor blockers, and β-blockers (BB) are commonly used in these patients.6 It has been shown that the long-term administration of BB will favorably alter the biological properties of the failing heart and regulate the autonomic system (including HR)7 compared with non-BB group in HFpEF.8 Therefore, it has been hypothesized that these changes could be mediated through upregulation of myocardial and sinoatrial β1-receptors leading to a partially or fully restored chronotropic competence.9 However, the impact of BB in HFpEF has not been evaluated. Thus, the aims of this investigation were (1) to investigate the differences in HR and oxygen uptake (V˙o2) (at rest, submaximal, peak, and recovery) in elderly HFpEF patients with (BB) or with no (NBB) treatment with BB, and (2) to examine the relationship between HRresv and V˙o2peak in BB and NBB. To our knowledge, this is the first study to specifically examine the impact of BB on HR and its relationship to cardiopulmonary responses in elderly HFpEF patients during exercise and in recovery.

METHODS

As we have previously described,4,10 HFpEF is defined as signs and symptoms of HF according to the National Health and Nutrition Examination Survey HF clinical score of ≥3 and the criteria of Rich et al.11 Exclusion criteria were preliminary valvular heart disease as the primary etiology of HF, recent stroke or myocardial infarction, uncontrolled hypertension, any other condition that limits the duration of exercise (eg, musculoskeletal or peripheral vascular disease), uncontrolled diabetes mellitus, active treatment for cancer, anemia (hemoglobin <10 mg·dL−1), renal failure (creatinine >2.5 mg·dL−1), or uncontrolled psychiatric disorders. Eligible patients underwent a physical examination by a cardiologist, electrocardiography at rest and during exercise, echocardiography, and spirometry. Patients who showed significant pulmonary disease or functional impairment by myocardial ischemia were excluded. Participant characteristics and physiological responses to exercise are presented in Tables 1 and 2, respectively.

Table 1.

Participant Characteristicsa

Variable BB
n = 59
NBB
n = 115
AP
n = 174
P value
BB Versus NBB
Age, yr 70.7 ± 6.8 70.9 ± 7.4 70.8 ± 7.2 .892
Sex
 Female, % 70.3 82.4 78.6
Race
 White, % 85.9 75.4 78.6
 Other, % 14.1 24.6 21.4
Body mass, kg 83.9 ± 16.1 81.8 ± 17.4 82.5 ± 17 .457
BMI, kg/m2 30.9 ± 4.7 30.6 ± 5.8 30.7 ± 5.4 .637
NYHA class, %
 I 0 0.7 0.5
 II 67.2 69.7 68.9
 III 32.8 29.6 30.6
HTN, %
 Yes 92.2 78.2 82.5
DM, %
 Yes 18.8 15.5 16.5
Blood pressure, mm Hg
 Systolic 147 ± 19.7 142.0 ± 17 143.9 ± 18.1 .058
 Diastolic 81.8 ± 9.7 81.5 ± 10.1 81.6 ± 10.0 .846
Medications, %
 Diuretics 55.3 64.5 62.8
 ARB 15.8 9.5 10.6
 ACE 44.7 51.5 50.2
 CCB 31.6 29.0 29.5
 Nitrates 21.1 20.1 20.3
 Aspirin 44.7 37.9 39.1
 Digoxin 23.7 32.5 30.9

Abbreviations: ACE, angiotensin-converting enzyme inhibitor; AP, all participants; ARB, angiotensin receptor blocker; BB, participants with β-blocker therapy; BMI, body mass index; CCB, calcium-channel blockers; DM, diabetes mellitus; HTN, hypertension; NBB, participants with no β-blocker therapy; NYHA, New York Heart Association.

a

Values are mean ± SD or n (%).

Table 2.

Exercise Testing Values of the Study Populationa

Variable BB
n = 59
NBB
n = 115)
P Value
BB Versus
NBB
HRrest, bpm 66 ± 12.2 70 ± 10.6 .038b
HRsubmax, bpm 92 ± 16.2 99 ± 15.2 .007b
HRpeak, bpm 123 ± 19.8 129 ± 20.1 .073
HRreserv, bpm 57 ± 17.1 59 ± 17.4 .464
HRrec1, bpm 103 ± 18.9 109 ± 16.9 .023b
HRrecov, bpm 20 ± 12.3 20 ± 11.0 .699
Peak blood pressure, mm Hg
 Systolic 190 ± 26.2 183 ± 24.2 .093
 Diastolic 86 ± 11.4 86 ± 11.3 .962
V˙o2rest, mL·kg−1·min−1 3.4 ± 0.6 3.4 ± 0.5 .711
V˙o2submax, mL·kg−1·min−1 8.6 ± 1.4 8.5 ± 1.5 .586
V˙o2peak, mL·kg−1 ·min−1 14.1 ± 3 13.8 ± 2.9 .479
RERpeak 1.1 ± 0.1 1.1 ± 0.1 .863

Abbreviations: BB, participants with β-blocker therapy; HRpeak, peak HR; HRrec1, heart rate at 1-min recovery; HRrecov, heart rate recovery = (HRpeak− HRrec1); HRreserv, heart rate Reserve = (HRpeak− HRrest); HRrest, resting HR; HRsubmax, HR at submaximal load; NBB, participants with no β-blocker therapy; RERpeak, peak respiratory exchange ratio; V˙o2peak, peak oxygen uptake; V˙o2rest, resting oxygen uptake; V˙o2submax, submaximal oxygen uptake.

a

Values are means ± SD.

b

Significantly different from BB (P < .05).

The Wake Forest University Institutional Review Board approved the study protocol and a written informed consent was obtained from all patients. A total of 174 elderly patients (>65 yr) with HFpEF participated in this research. The number of 174 was obtained from the combined patient enrollment in 2 National Institutes of Health–funded clinical trials (PARIS I and II) that this study was based upon. The participants of this study were divided into those who received BB (n = 59, 34%) and those who did not receive BB (NBB, n = 115). The majority of the BB patients were prescribed selective BB (90%), consisting of atenolol (n = 27), toporol (n = 16), Lopressor (n = 4), metoprolol (n = 3), or bisoprolol (n = 3). The remaining patients were prescribed labetalol (n = 3), propanolol (n = 1), nadolol (n = 1), or carvedilol (n = 1). All participants were on a stable medication regimen and well compensated for 6 mo or more in the New York Heart Association (NYHA) class I-IV.

Participants performed a cardiopulmonary symptom-limited exercise test (CPX) in the upright position on an electronically braked bicycle CPE 2000 (MedGraphics). Initial workload was 12.5 W for 2 min, increased to 25 W for 3 min, and followed thereafter by 25 W increments every 3 min to peak capacity. The CPX was terminated when the participant could no longer continue because of shortness of breath and/or leg fatigue. Respiratory exchange ratio (most achieved >1.1) and a self-reported Borg rating of perceived exertion were also monitored throughout the test to assess fatigue. Breath-by-breath gas exchange data were measured continuously with a CPX-2000 (MedGraphics) during the CPX with the highest values obtained during the final 30 sec used as the peak score. Heart rate was measured continuously during and after exercise by electrocardiographic monitoring. Heart rate and V˙o2 were evaluated after 5 min of supine rest (HRrest and V˙o2rest), at submaximal (HRsubmax and V˙o2submax) (ie, after the first stage at 12.5 W), at peak exercise (HRpeak and V˙o2peak), and at 1 min of passive recovery. Heart rate variables were calculated as follows: heart rate reserve (HRresv), difference between HRpeak during exercise and pre-exercise HRrest; HRrec1, HR at 1 min of recovery; and HRrecov, difference between HRpeak and HRrec1.

Before conducting statistical analysis, all data were analyzed to ensure compliance with the criteria of normality (Kolmogorov-Smirnov test), homoscedasticity (Levene test for homogeneity of variances) and independence (runs test). Comparison between groups was assessed using the Student t test. Pearson product moment correlation coefficients were used to assess the relationship between the HRresv and measured V˙o2peak through cardiopulmonary exercise test. Version 22.0 of SPSS was used for statistical analyses. The data are presented as mean ± SD and the level of significance for all the statistical analysis was determined at P ≤ .05. Since this was a retrospective analysis, a power calculation was performed using G*Power 3 analysis program.12 It was determined that an adequate power would be achieved with 115 participants (α = .05).

RESULTS

The participants were clinically stable (NYHA class II and class III), nonedematous state, and had no change in medication for more than 60 d. Participants in this investigation demonstrated the typical characteristics of HFpEF, including advanced age (70.8 ± 7.2 yr), female preponderance (79%), obesity (body mass index >30 kg·m−2), history of hypertension (83%) (Table 1), and severely reduced V˙o2peak (13.9 ± 2.9 mL·kg−1·min−1) (Table 2).13

As seen in Table 2, HRrest, HRsubmax, and HRrec1 were significantly lower (P ≤ .05) in BB than in NBB patients. However, there were no significant or clinically meaningful differences (P > .05) in HRpeak, HRresv, HRrecov, V˙o2rest, V˙o2submax, and V˙o2peak between the two groups.

The correlation analysis between the HRreserv and V˙o2peak values indicated that these variables were significantly related (P < .001) in both groups (BB, r = 0.52; NBB, r = 0.49).

DISCUSSION

This study examined the impact of BB on HR response in elderly HFpEF patients during exercise and in recovery and to explore the relationship between HR and V˙o2 in these patients. This investigation determined that there were no significant differences for BB versus NBB regarding HRpeak, HRresv, HRrecov, and V˙o2 values (rest, submaximal, and peak). Furthermore, significant and similar correlations observed between HRresv and V˙o2peak suggest that BB treatment does not impact the relationship of these measures.

Traditionally, the BB treatment for HFpEF has been recommended since the negative chronotropic effect of the medication increases diastolic filling period14 and lowers HRrest. This effect has been associated with a reduced mortality and morbidity of newly diagnosed HFpEF patients.15 However, in real-world hospitalized older HFpEF patients, there was no evidence that BB therapy had any independent associations with long-term outcomes, regardless of the class or daily dosage of the BB used.16 Thus, studies have shown that chronotropic incompetence is highly prevalent in HFpEF and the use of BB, in the absence of tachycardia, may decrease exercise capacity,17 but not the risk of hospitalization18 or result in an improvement in exercise capacity or symptoms.19 Because chronic BB therapy attenuates plasma norepinephrine levels,20 diminished exercise-induced increases in catecholamines may contribute to chronotropic incompetence in BB-treated HFpEF patients, mainly due to exercise HRpeak influenced by a lower HRrest. In this study, although HRrest, was significantly lower (Table 2) in BB than in NBB patients, the minimal difference (∼3 bpm) is not a clinically meaningful value. In contrast, results from this study suggest that BB chronic therapy does not affect V˙o2peak, HRresv, or HRpeak between BB and NBB participants. Thus, we may be observing a BB paradox, given the similar chronotropic response in BB and NBB. It is possible that chronic BB therapy may have decreased neurohormone levels and/or increased β-receptor sensitivity, resulting in an increase in cardiac contractility.9,21 Alternatively, several drugs, including BB, have been shown to lose their effectiveness over time.21 In any case, data from this investigation suggest that BB does not appear to have a major impact on HR response to exercise in HFpEF patients. Subsequently, the use of different CPX-termination criteria or chronotropic incompetence criteria would not be necessary for these patients.22

These observations are reinforced with the lack of significant difference in HRrecov between NBB and BB (Table 2). The NBB and BB had a similar decline in HRrecov, which is indicative of a normal autonomic balance between sympathetic and parasympathetic tone during the acute phase of exercise recovery. While there are a number of methods available to evaluate HRrecov, the most widely used threshold for increased risk of all-cause mortality has been a decrease in HR from peak exercise to 1 min of passive supine recovery of <18 bpm.22 In this study, both groups exceeded the criteria HRrecov (BB = 20.3 ± 12.3 and NBB =19.6 ± 11.0 bpm). These results along with previous studies in HFrEF population23 appear to confirm that chronic BB treatment has no meaningful effect on the HRrecov in patients with HFpEF.

In line with previous studies in HFrEF population,24 we found significant relationship between functional capacity (V˙o2peak) and HRresv regardless of the presence or absence of BB treatment. The HR is widely used for prescribing and designing exercise intensity on the basis that a linear relationship between HR and both V˙o2 and work rate increase during incremental exercise is known to exist.25 Consequently, these data suggest that HFpEF patients on chronic BB therapy can use the same HR ranges as recommended to other patients.25 The study by Carvalho et al26 also demonstrated a significant positive relationship between %HRresv and % V˙o2resv in older HFrEF patients but only in patients on optimized BB therapy but not in nonoptimized HFpEF patients.

Several limitations of the study should be considered. First, data for this investigation were collected at a time when BB therapy was not widely used in HFpEF; thus, only 34% of patients in this investigation were taking this medication and since then, the target dosing recommendation has increased. Second, since patients were not randomized to BB versus NBB therapy, there may have been a selection bias with less well-controlled HF patients that may affect these results. Third, taking into account that this is a retrospective study, we recognize some potential biases, such as data from a single center and the subsequent lack of generalizability. Finally, without invasive hemodynamics testing (both at resting supine and during exercise), we can only speculate about potential alterations in autonomic nervous system function. This study can serve as an initial evaluation of the effects of low-dose BB on HR and V˙o2 in an HFpEF population. Future studies will be needed to examine the effects of BB prescribed at target doses for HFpEF patients according to the most recent standards.

In conclusion, the results of this study indicate that chronic treatment with BB may favorably alter the biological properties of the cardiac autonomic system regulation in elderly patients with HFpEF, such that there are no meaningful differences in HRpeak, HRresv, HRrecov, and functional capacity (V˙o2peak) between those with or without BB therapy. The significant correlation between HRresv and V˙o2peak suggests that these measures may have equal utility in prognostic and functional assessment as well as clinical applications, including the prescription of exercise, in elderly HFpEF patients.

Acknowledgments

This study was supported in part by NIH grants R01AG045551 and R01AG18915; Claude D. Pepper Older Americans Independence Center of Wake Forest School of Medicine, Winston-Salem, NC; and National Institute of Nursing Research grant R15NR016826.

Dalane W. Kitzman is funded by NIH grants R01AG18915; P30AG12232. The remaining authors have no conflicts of interest to disclose.

Contributor Information

Sara Maldonado-Martín, Department of Physical Education and Sport, Faculty of Education and Sport-Physical Activity and Sport Sciences Section, University of the Basque Country (UPV/EHU), Vitoria-Gasteiz, Araba-Álava, Basque Country, Spain.

Peter H. Brubaker, Department of Health & Exercise Science, Wake Forest University, Winston-Salem, North Carolina.

Cemal Ozemek, Department of Physical Therapy, University of Illinois, Chicago.

Jon A. Jayo-Montoya, Department of Physical Education and Sport, Faculty of Education and Sport-Physical Activity and Sport Sciences Section, University of the Basque Country (UPV/EHU), Vitoria-Gasteiz, Araba-Álava, Basque Country, Spain.

J. Thomas Becton, Section on Cardiology, Department of Internal Medicine, Wake Forest Baptist Health, Winston-Salem, North Carolina.

Dalane W. Kitzman, Section on Cardiology, Department of Internal Medicine, Wake Forest Baptist Health, Winston-Salem, North Carolina.

REFERENCES

  • 1.Owan TE, Hodge DO, Herges RM, Jacobsen SJ, Roger VL, Redfield MM. Trends in prevalence and outcome of heart failure with preserved ejection fraction. N Engl J Med 2006;355(3):251–259. [DOI] [PubMed] [Google Scholar]
  • 2.Kitzman DW, Little WC, Brubaker PH, et al. Pathophysiological characterization of isolated diastolic heart failure in comparison to systolic heart failure. JAMA 2002;288(17):2144–2150. [DOI] [PubMed] [Google Scholar]
  • 3.Lekavich CL, Barksdale DJ, Neelon V, Wu JR. Heart failure preserved ejection fraction (HFpEF): an integrated and strategic review. Heart Fail Rev 2015;20(6):643–653. [DOI] [PubMed] [Google Scholar]
  • 4.Haykowsky MJ, Brubaker PH, John JM, Stewart KP, Morgan TM, Kitzman DW. Determinants of exercise intolerance in elderly heart failure patients with preserved ejection fraction. J Am Coll Cardiol 2011;58(3):265–274. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Ponikowski P, Voors AA, Anker SD, et al. 2016 ESC guidelines for the diagnosis and treatment of acute and chronic heart failure: the Task Force for the diagnosis and treatment of acute and chronic heart failure of the European Society of Cardiology (ESC) developed with the special contribution of the Heart Failure Association (HFA) of the ESC. Eur Heart J 2016;37(27):2129–2200. [DOI] [PubMed] [Google Scholar]
  • 6.Bonsu KO, Arunmanakul P, Chaiyakunapruk N. Pharmacological treatments for heart failure with preserved ejection fraction—a systematic review and indirect comparison. Heart Fail Rev 2018;23(2):147–156. [DOI] [PubMed] [Google Scholar]
  • 7.Bristow MR. Beta-adrenergic receptor blockade in chronic heart failure. Circulation 2000;101(5):558–569. [DOI] [PubMed] [Google Scholar]
  • 8.Gu J, Fan YQ, Bian L, et al. Long-term prescription of beta-blocker delays the progression of heart failure with preserved ejection fraction in patients with hypertension: a retrospective observational cohort study. Eur J Prev Cardiol 2016;23(13):1421–1428. [DOI] [PubMed] [Google Scholar]
  • 9.Jorde UP, Vittorio TJ, Kasper ME, et al. Chronotropic incompetence, beta-blockers, and functional capacity in advanced congestive heart failure: time to pace? Eur J Heart Fail 2008;10(1):96–101. [DOI] [PubMed] [Google Scholar]
  • 10.Haykowsky M, Brubaker P, Kitzman D. Role of physical training in heart failure with preserved ejection fraction. Curr Heart Fail Rep 2012;9(2):101–106. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Rich MW, Beckham V, Wittenberg C, Leven CL, Freedland KE, Carney RM. A multidisciplinary intervention to prevent the readmission of elderly patients with congestive heart failure. N Engl J Med 1995;333(18):1190–1195. [DOI] [PubMed] [Google Scholar]
  • 12.Faul F, Erdfelder E, Lang AG, Buchner A. G*Power 3: a flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behav Res Methods. 2007;39(2):175–191. [DOI] [PubMed] [Google Scholar]
  • 13.Kaminsky LA, Imboden MT, Arena R, Myers J. Reference standards for cardiorespiratory fitness measured with cardiopulmonary exercise testing using cycle ergometry: data from the fitness registry and the importance of exercise national database (FRIEND) registry. Mayo Clin Proc 2017;92(2):228–233. [DOI] [PubMed] [Google Scholar]
  • 14.Borlaug BA, Paulus WJ. Heart failure with preserved ejection fraction: pathophysiology, diagnosis, and treatment. Eur Heart J 2011;32(6):670–679. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Ruiz G, Andrey JL, Puerto JL, et al. Prognosis of heart failure with preserved ejection fraction treated with beta-blockers: a propensity matched study in the community. Int J Cardiol 2016;222:594–602. [DOI] [PubMed] [Google Scholar]
  • 16.Patel K, Fonarow GC, Ekundayo OJ, et al. Beta-blockers in older patients with heart failure and preserved ejection fraction: class, dosage, and outcomes. Int J Cardiol 2014;173(3):393–401. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Borlaug BA, Nishimura RA, Sorajja P, Lam CS, Redfield MM. Exercise hemodynamics enhance diagnosis of early heart failure with preserved ejection fraction. Circ Heart Fail 2010;3(5): 588–595. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Bavishi C, Chatterjee S, Ather S, Patel D, Messerli FH. Beta-blockers in heart failure with preserved ejection fraction: a meta-analysis. Heart Fail Rev 2015;20(2):193–201. [DOI] [PubMed] [Google Scholar]
  • 19.Conraads VM, Metra M, Kamp O, et al. Effects of the long-term administration of nebivolol on the clinical symptoms, exercise capacity, and left ventricular function of patients with diastolic dysfunction: results of the ELANDD study. Eur J Heart Fail 2012;14(2):219–225. [DOI] [PubMed] [Google Scholar]
  • 20.Azevedo ER, Kubo T, Mak S, et al. Nonselective versus selective beta-adrenergic receptor blockade in congestive heart failure: differential effects on sympathetic activity. Circulation 2001;104(18):2194–2199. [DOI] [PubMed] [Google Scholar]
  • 21.Bond RA, Giles H. For the love of paradox: from neurobiology to pharmacology. Behav Pharmacol 2011;22(5–6):385–389. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Brubaker PH, Kitzman DW. Chronotropic incompetence: causes, consequences, and management. Circulation 2011;123(9):1010–1020. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Racine N, Blanchet M, Ducharme A, Marquis J, Boucher JM, Juneau M, White M. Decreased heart rate recovery after exercise in patients with congestive heart failure: effect of beta-blocker therapy. J Card Fail 2003;9(4):296–302. [DOI] [PubMed] [Google Scholar]
  • 24.Magri D, Palermo P, Cauti FM, et al. Chronotropic incompetence and functional capacity in chronic heart failure: no role of β-blockers and β-blocker dose. Cardiovasc Ther 2012;30(2):100–108. [DOI] [PubMed] [Google Scholar]
  • 25.Mezzani A, Hamm LF, Jones AM, et al. Aerobic exercise intensity assessment and prescription in cardiac rehabilitation: a joint position statement of the European Association for Cardiovascular Prevention and Rehabilitation, the American Association of Cardiovascular and Pulmonary Rehabilitation, and the Canadian Association of Cardiac Rehabilitation. J Cardiopulm Rehabil Prev 2012;32(6):327–350. [DOI] [PubMed] [Google Scholar]
  • 26.Carvalho VO, Guimaraes GV, Bocchi EA. The relationship between heart rate reserve and oxygen uptake reserve in heart failure patients on optimized and non-optimized beta-blocker therapy. Clinics (Sao Paulo) 2008;63(6):725–730. [DOI] [PMC free article] [PubMed] [Google Scholar]

RESOURCES