Abstract
Hospital admission for decompensated heart failure (HF) marks a critical inflection point in a patient’s health. Despite the improvement in signs/symptoms during hospitalization, patients have a high likelihood of readmission, reflecting a lack of resolution of the underlying condition. Surprisingly no studies have characterized the cardiorespiratory fitness (CRF) of such patients. Fifty-two patients (38 [73%] male, age 57 [52–65] years, left-ventricular ejection fraction 31% [24–38]) underwent cardiopulmonary exercise testing (CPX) 4 (1–10) days after hospital discharge, when stable and without overt signs of volume overload. Transthoracic Doppler echocardiography, measurement of N-terminal pro-B-natriuretic peptide (NT-proBNP), and quality of life were also assessed. Aerobic exercise capacity was severely reduced: peak oxygen consumption (pVO2) was 14.1 (11.2–16.3) mL•kg−1•min−1. Ventilatory inefficiency as indicated by the minute ventilation carbon dioxide production relationship (VE/VCO2 slope) >30 and oxygen uptake efficiency slope (OUES) <2.0 was noted in 41 (77%) and 39 (75%) patients, respectively. Forty-five (87%) of patients had one of two high-risk features (pVO2 <14 mL•kg−1•min−1 or VE/VCO2 >30). Perceived functional capacity, measured by the Duke Activity Status Index (DASI) was also severely reduced, and correlated with pVO2. NT-proBNP levels and early transmitral velocity/early mitral annulus velocity (E/e′) ratio at echocardiography showed a modest correlation with lower pVO2. In conclusion, patients with recently decompensated systolic HF demonstrate severe impairment in cardiorespiratory fitness severely limiting quality of life.
Keywords: systolic heart failure, cardiopulmonary exercise testing, cardiorespiratory fitness
INTRODUCTION
Peak oxygen consumption (pVO2), measured through cardiopulmonary exercise testing (CPX), reflects cardiorespiratory fitness (CRF) in terms of maximal aerobic capacity, a well-established indicator of disease severity and of prognosis in patients with HF.1–3 The minute ventilation/carbon dioxide production [VE/VCO2] slope is an independent predictor of outcomes in HF, and a measure of ventilatory efficiency.4 Peak VO2 and VE/VCO2 slope are monitored in patients with chronic HF and used for risk stratification and therapeutic strategies.5 Characterization of CRF parameters shortly following hospital discharge for decompensated HF has not been performed. Determining CRF in patients with recently-decompensated HF (RDHF), and its determinants, may provide new and important clinical information in this high-risk population. As such, the aim of the current investigation was to measure CRF in patients with systolic HF within 2 weeks of hospital discharge for RDHF.
METHODS
We quantified CRF via CPX in 52 patients with systolic HF at an average of 4 (range 1–10) days after hospital discharge for a decompensation episode who were being evaluated for enrollment in a clinical trial (ClinicalTrials.gov registration NCT01936909).6 Briefly, for consideration in the trial, patients had to be considered stable according to the treating physician and by the exercise physiologist, without New York Heart Association Class IV symptoms (dyspnea at rest or with minimal activity) or paroxysmal nocturnal dyspnea for 72 hours, and no evidence of overt volume overload (i.e. rales, jugular vein distention, pitting edema).
A supervised CPX was administered using a metabolic cart adapted to a treadmill using a conservative ramping treadmill protocol with increases of approximately 0.3 metabolic equivalents (METs) every 30-seconds. Only subjects who were limited by shortness of breath during CPX and achieved a peak RER ≥1.00 were considered for inclusion5. Patients with results indicative of exercise-limiting ischemic heart disease (angina, ischemic ECG changes, and abnormal blood pressure) were excluded.
CPX was performed to quantify three primary measures: 1) pVO2, 2) VE/VCO2 slope, 3) the oxygen uptake efficiency slope (OUES). The highest 10-second average value of O2 uptake during the final 30 seconds of exercise defined pVO2 in mLO2•kg−1•min−1. Percent (%) of predicted normal values for peak VO2 were reported using the reference values proposed by Wasserman et al.7 Ten second averaged VE and VCO2 data, from the initiation of exercise to peak, were inserted into spreadsheet software (Microsoft Excel, Microsoft Corp., Bellevue, WA) to calculate the VE/VCO2 slope via least squares linear regression. The OUES was determined using least-squares linear regression analysis (O2 consumption=a log10VE+b, with VO2 and VE expressed in L•min−1) using spreadsheet software (Microsoft Excel, Microsoft Corp., Bellevue, WA).8 The peak RER (VCO2/VO2) was used to quantify subject effort.
All subjects underwent a transthoracic Doppler echocardiogram and phlebotomy for biomarker assessment including N-terminal brain natriuretic peptide (NT-proBNP) on the same day prior to CPX. Echocardiography was performed following the American Society of Echocardiography measurement guidelines9: left ventricular (LV) end-diastolic and end-systolic volumes, ejection fraction, early transmitral E wave velocitiy, early mitral annulus e′ velocities by tissue Doppler averaged between lateral and septal (e′) and tricuspid annulus plane systolic excursion.9 The E/e′ ratio was calculated to estimate LV filling pressures.10
We used two different questionnaires to quantify symptoms, functional status and quality of life (QOL); 1) the Duke Activity Status Index (DASI) which assesses general ability to complete activities11; and 2) the Minnesota Living with Heart Failure (MLWHF) which addresses limitations specifically due to HF.12
Data are presented as either number and percentages or median and interquartile range. Correlations between continuous variables were assessed using the Spearman rank correlation test for non-parametric data. The SPSS 23.0 (IBM, Armonk, New York) statistical software package was used for all analyses with a p-value <0.05 considered statistically significant.
RESULTS
Table 1 shows the demographic and clinical characteristics of the 52 subjects. All patients had received loop diuretics during hospital admission (furosemide equivalent dose of 470 mg [range 270–820]) and were on guideline-directed HF medications at discharge, including a furosemide equivalent dose of 50 mg/day.
Table 1.
Demographic and Clinical Characteristics.
| Variables | Overall |
|---|---|
| Age (years) | 57 (52–65) |
| Men | 38 (73%) |
| Black | 42 (81%) |
| Body Mass Index (kg/m2) | 33 (28–41) |
| Coronary Artery Disease | 18 (35%) |
| Arterial hypertension | 48 (92%) |
| Diabetes mellitus | 29 (56%) |
| C-reactive protein (mg/L) | 5.65 (2.53–11.48) |
| N-terminal pro-Brain Natriuretic Peptide (pg/ml) | 1334 (580–2679) |
| New York Heart Association functional class, II/III | 17 (33%)/35 (67%) |
| Duke Activity Status Index score | 26 (16–38) |
| Minnesota Living with Heart Failure score | 57 (44–73) |
| EchocardioDoppler parameters | |
| Left ventricular ejection fraction (%) | 31 (24–38) |
| Early mitral inflow velocity/mitral annular early diastolic velocity ratio (E/e′) | 17.8 (11.9–24.5) |
| Cardiopulmonary Exercise Test parameters | |
| Exercise Time (minutes) | 7.4 (4.6–9.1) |
| Respiratory Exchange Ratio | 1.10 (1.04–1.17) |
| Peak Oxygen Uptake (mL•kg−1•min−1) | 14.1 (11.2–16.3) |
| Heart Failure Therapies | |
| Angiotensin blockers | 43 (83%) |
| Beta-adrenergic receptor blockers | 48 (92%) |
| Aldosterone blockers | 27 (52%) |
| Hydralazine/isosorbide | 28 (54%) |
| Loop diuretics | 52 (100%) |
| Furosemide equivalent dose (mg) | 50 (40–120) |
| Cardiac Resynchronization Therapy | 4 (8%) |
| Implantable Cardioverter Defibrillator | 21 (40%) |
All patients had a peak VO2 <100% of predicted, and all but 1 patient (98%) had a peak VO2 ≤70% of predicted. Median DASI score was 26 [range 16–38] and median MLWHF score was 57 [range 44–73], indicating severe HF-related limitations in perceived functional status and QOL (Table 1). Cardiopulmonary exercise testing revealed severe reductions in CRF: median peak VO2 was 14.1 [range 11.2–16.3] mL•kg−1•min−1 (% of predicted peak VO2 was 46% [range 39–52]). Most of the patients also demonstrated ventilatory inefficiency as indicated by a VE/VCO2 slope >30 in 41 (77%) [median 33.6 (range 30.9–40.2)] and OUES <2.0 in 39 (75%) and ≤1.75 in 29 (56%) [median 1.74 (range 1.24–2.04)]. Forty-five (87%) patients had at least one high-risk feature (peak VO2<14 ml•kg−1•min−1 or VE/VCO2>30) (Figure 1). The DASI score, a subjective measure of fatigue, significantly correlated with exercise time (R=+0.37, P=0.008) and peak VO2 (R=+0.29, P=0.038)(Figure 2), whereas the MLWHF did not (all P>0.30). NT-proBNP levels and E/e′ ratio at Doppler echocardiography, but not LVEF, correlated with peak VO2 (R=−0.32, P=0.022, and R=−0.29, P=0.044, respectively). Moreover, NT-proBNP levels and E/e′ ratio correlated with both the VE/VCO2 slope (R=−0.50, P<0.001, and R=−0.36, P=0.011, respectively) and OUES (R=−0.53, P<0.001, and R=−0.31, P=0.022, respectively). Peak VO2, VE/VCO2 slope, nor OUES correlated with diuretic dose (all R<0.30, all P>0.40).
Figure 1. Peak aerobic capacity measured with cardiopulmonary exercise test.

The graph shows moderate to severe impairment in measured (peak VO2) and concomitant abnormalities in the ventilatory efficiency in the population.
Figure 2. Measured and perceived exercise capacity.

The Duke Activity Status Index (DASI) score measured the perceived functional capacity and it has been reported to correlate with peak oxygen consumption (peak VO2) in patients with ischemic heart disease, in whom it was developed, and in ambulatory patients with heart failure. The graph shows a significant correlation between the measured (peak VO2) and perceived (DASI score) peak aerobic capacity in this cohort of recently decompensated heart failure patients. A correspondence between perceived and achieved peak VO2 values and how they may correlate with the activities of daily living (ADLs) is shown.
DISCUSSION
The results of this study shows that patients with systolic HF who are discharged from the hospital after an admission for acute decompensation remain highly symptomatic with respect to exercise intolerance and dyspnea. The severe reduction in pVO2 is such that many subjects are limited in their ADLs.13 There is therefore an urgent need to find strategies to improve exercise capacity in this high-risk population. The concomitant presence of severe ventilatory inefficiency is equally concerning as it represents an important, and independent, mechanism of disease in this population.1
The correlation between markers of elevated LV filling pressures (NT-proBNP plasma levels and E/e′ ratio) with both impaired aerobic capacity and ventilatory efficiency suggests that, in patients with recently decompensated systolic HF, the impairment in diastolic function is very important. Whether NT-proBNP and E/e′ ratio reflect a need for additional aggressive diuresis or are merely markers of worse underlying cardiac dysfunction is unknown. One possibility is that these patients simply needed more aggressive diuresis. Elevated NT-proBNP and E/e′ ratio may, however, may also be only markers of more severe LV failure and not be responsive to diuresis. Of note, all patients had undergone an aggressive diuretic regimen while in-hospital, had undergone a systematic evaluation and optimization of diuretic dose prior to enrollment including multiple encounters by a multi-disciplinary team that included physicians and pharmacists trained in HF-management and specifically trained for this protocol. They were further screened with CPX, wherein those with arterial hypertension or hypotension at rest or with exercise were excluded to minimize the likelihood of including patients with hyper- or hypovolemia. Moreover, although not conclusive, the lack of any correlation between diuretic dose and CRF does not suggest a benefit of higher diuretic doses. It also appears that the impairment in peak VO2 translates in worse quality of life in the domain of perceived physical function (DASI) and less so in symptoms of congestion (MLWHF). The role of the skeletal muscle in determining cardiorespiratory fitness (peak VO2) in these patients was not explored in this study.14–15 Nevertheless, the data present herein show that the cohort of patients with recent hospital admission for HF are not only at high risk for readmission, which has been already recognized, but is also one that is severely impaired in their ADLs and thus jeopardizes their QOL after discharge.
Acknowledgments
This project was supported by a National Heart, Lung, and Blood Institute of the National Institute of Health grant to Dr. Abbate and Dr. Van Tassell (R34HL117026) and by a Clinical and Translational Science Award to Virginia Commonwealth University, National Institute of Health (UL1TR000058).
Footnotes
Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.
J. M. Canada and A. Abbate take full responsibility for all aspects of the reliability and freedom from bias of the data presented and their discussed interpretation.
Potential Conflicts of Interest: None.
References
- 1.Arena R, Guazzi M, Cahalin LP, Myers J. Revisiting cardiopulmonary exercise testing applications in heart failure: Aligning evidence with clinical practice. Exerc Sport Sci Rev. 2014;42:153–160. doi: 10.1249/JES.0000000000000022. [DOI] [PubMed] [Google Scholar]
- 2.Guazzi M, Naeije R, Arena R, Corrà U, Ghio S, Forfia P, Rossi A, Cahalin LP, Bandera F, Temporelli P. Echocardiography of right ventriculoarterial coupling combined with cardiopulmonary exercise testing to predict outcome in heart failure. Chest. 2015;148:226–234. doi: 10.1378/chest.14-2065. [DOI] [PubMed] [Google Scholar]
- 3.Myers J, Arena R, Cahalin LP, Labate V, Guazzi M. Cardiopulmonary exercise testing in heart failure. Curr Probl Cardiol. 2015;40:322–372. doi: 10.1016/j.cpcardiol.2015.01.009. [DOI] [PubMed] [Google Scholar]
- 4.Arena R, Myers J, Aslam SS, Varughese EB, Peberdy MA. Peak VO2 and VE/VCO2 slope in patients with heart failure: A prognostic comparison. Am Heart J. 2004;147:354–360. doi: 10.1016/j.ahj.2003.07.014. [DOI] [PubMed] [Google Scholar]
- 5.Balady GJ, Arena R, Sietsema K, Myers J, Coke L, Fletcher GF, Forman D, Franklin B, Guazzi M, Gulati M, Keteyian SJ, Lavie CJ, Macko R, Mancini D, Milani RV, American Heart Association Exercise, Cardiac Rehabilitation, and Prevention Committee of the Council on Clinical Cardiology; Council on Epidemiology and Prevention; Council on Peripheral Vascular Disease; Interdisciplinary Council on Quality of Care and Outcomes Research Clinician’s guide to cardiopulmonary exercise testing in adults: A scientific statement from the american heart association. Circulation. 2010;122:191–225. doi: 10.1161/CIR.0b013e3181e52e69. [DOI] [PubMed] [Google Scholar]
- 6.Van Tassell BW, Valle RJ, Oddi C, Carbone S, Canada J, Abouzaki NA, Biondi-Zoccai GL, Arena R, Abbate A. Interleukin-1 blockade in recently decompensated systolic heart failure: Study design of the recently decompensated heart failure anakinra response trial (RED-HART) J Clin Trial Cardiol. 2015;2:1–8. [Google Scholar]
- 7.Wasserman K, Principles of exercise testing & interpretation . Principles of exercise testing and interpretation: Including pathophysiology and clinical applications. 4th. Philadelphia: Lippincott Williams & Wilkins; 2005. p. 585. [Google Scholar]
- 8.Baba R, Nagashima M, Goto M, Nagano Y, Yokota M, Tauchi N, Nishibata K. Oxygen intake efficiency slope: A new index of cardiorespiratory functional reserve derived from the relationship between oxygen consumption and minute ventilation during incremental exercise. Nagoya J Med Sci. 1996;59:55–62. [PubMed] [Google Scholar]
- 9.Gardin JM, Adams DB, Douglas PS, Feigenbaum H, Forst DH, Fraser AG, Grayburn PA, Katz AS, Keller AM, Kerber RE, Khandheria BK, Klein AL, Lang RM, Pierard LA, Quinones MA, Schnittger I, American Society of Echocardiography Recommendations for a standardized report for adult transthoracic echocardiography: A report from the american society of echocardiography’s nomenclature and standards committee and task force for a standardized echocardiography report. J Am Soc Echocardiogr. 2002;15:275–290. doi: 10.1067/mje.2002.121536. [DOI] [PubMed] [Google Scholar]
- 10.Dini FL, Ballo P, Badano L, Barbier P, Chella P, Conti U, De Tommasi SM, Galderisi M, Ghio S, Magagnini E, Pieroni A, Rossi A, Rusconi C, Temporelli PL. Validation of an echo-doppler decision model to predict left ventricular filling pressure in patients with heart failure independently of ejection fraction. Eur J Echocardiogr. 2010;11:703–710. doi: 10.1093/ejechocard/jeq047. [DOI] [PubMed] [Google Scholar]
- 11.Hlatky MA, Boineau RE, Higginbotham MB, Lee KL, Mark DB, Califf RM, Cobb FR, Pryor DB. A brief self-administered questionnaire to determine functional capacity (the Duke activity status index) Am J Cardiol. 1989;64:651–654. doi: 10.1016/0002-9149(89)90496-7. [DOI] [PubMed] [Google Scholar]
- 12.Rector TS, Kubo SH, Cohn JN. Patients’ self-assessment of their congestive heart failure: Content, reliability and validity of a new measure, the minnesota living with heart failure questionnaire. Heart Failure. 1987;3:198–209. [Google Scholar]
- 13.Haykowsky MJ, Daniel KM, Bhella PS, Sarma S, Kitzman DW. Heart failure: Exercise-based cardiac rehabilitation: Who, when, and how intense? Can J Cardiol. 2016;32:S382–S387. doi: 10.1016/j.cjca.2016.06.001. [DOI] [PubMed] [Google Scholar]
- 14.Haykowsky MJ, Tomczak CR, Scott JM, Paterson DI, Kitzman DW. Determinants of exercise intolerance in patients with heart failure and reduced or preserved ejection fraction. J Appl Physiol. 2015;119:739–44. doi: 10.1152/japplphysiol.00049.2015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Artero EG, Lee DC, Lavie CJ, España-Romero V, Sui X, Church TS, Blair SN. Effects of muscular strength on cardiovascular risk factors and prognosis. J Cardiopulm Rehabil Prev. 2012;32:351–8. doi: 10.1097/HCR.0b013e3182642688. [DOI] [PMC free article] [PubMed] [Google Scholar]
