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BioMed Research International
Volume 2013 (2013), Article ID 595369, 8 pages
The Usefulness of Impedance Cardiography for Predicting Beneficial Effects of Cardiac Rehabilitation in Patients with Heart Failure
1Department of Cardiology and Internal Diseases, Military Institute of Medicine, Szaserow Street 128, 04-141 Warsaw, Poland
2Telecardiology Center, Institute of Cardiology, Alpejska Street 42, 04-628 Warsaw, Poland
3Department of Cardiac Rehabilitation and Noninvasive Electrocardiology, Institute of Cardiology, Alpejska Street 42, 04-628 Warsaw, Poland
Received 23 April 2013; Accepted 22 July 2013
Academic Editor: Sakthivel Sadayappan
Copyright © 2013 Grzegorz Gielerak et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Aim. Cardiac rehabilitation (CR) is an important part of heart failure (HF) treatment. The aim of this paper was to evaluate if thoracic fluid content (TFC) measured by impedance cardiography (ICG) is a useful parameter for predicting the outcome of CR. Methods. Fifty HF patients underwent clinical and noninvasive haemodynamic (TFC) assessments before and after 8-week CR. Results. As a result of CR, the patients’ exercise tolerance improved, especially in terms of peak VO2 (18.7 versus 20.8 mL × kg−1 × min−1; ). TFC was found to identify patients with significantly improved peak VO2 after CR. “High TFC” patients (TFC > 27.0 kOhm−1), compared to those of “low TFC” (TFC < 27.0 kOhm−1), were found to have more pronounced increase in peak VO2 (1.3 versus 3.1 mL × kg−1 × min−1; ) and decrease in TFC (4.0 versus 0.7 kOhm−1; ). On the other hand, the patients with improved peak VO2 () differed from those with no peak VO2 improvement in terms of higher baseline TFC values (28.4 versus 25.3 kOhm−1; ) and its significant decrease after CR (2.7 versus 0.2 kOhm−1; ). Conclusions. TFC can be a useful parameter for predicting beneficial effects of CR worth including in the process of patients’ qualification for CR.
Cardiac rehabilitation (CR) as an element of secondary prevention of heart failure (HF) results in a number of clinical benefits. It reduces all-cause mortality, morbidity, and the incidence of adverse cardiovascular events and improves the quality of life. However, not all HF patients benefit from monitored exercise training (ET), and the reasons for this have not been unequivocally identified [1–4]. Patients who start CR are characterised by various clinical presentations, especially in terms of haemodynamic status, exercise tolerance, and treatment optimisation.
The mechanisms underlying the adaptation to physical exercise are known to deteriorate in the course of HF, which may significantly limit the benefits of CR. On the other hand, there is a group of optimally managed patients with a relatively good exercise tolerance who do not derive any additional benefit from CR. In the light of the limited access to supervised CR, it seems justified to search for a tool to identify those HF patients who have the greatest chance to benefit from CR.
In a previous study, we demonstrated the usefulness of impedance cardiography (ICG) in the evaluation of the effect of CR . This simple method of noninvasive cardiac monitoring enables the estimation of numerous haemodynamic parameters, such as cardiac output (CO) and thoracic fluid content (TFC), and is increasingly employed in the diagnosis and treatment of HF [6–8]. The assessment of TFC has also proved to be of value in predicting the effectiveness of defibrillation during the testing of implantable cardioverter-defibrillators . It cannot therefore be ruled out that TFC might have a prognostic value in case of other therapeutic interventions.
The assessment of peak VO2 with cardiopulmonary exercise treadmill test (CPET) is the reliable method of estimation of exercise capability, especially in patients with HF  and its change after treatment can have important clinical implications. It was observed that improvement in peak VO2 is associated with lower mortality. On the other hand, a lack of beneficial effect in peak VO2 after CR is the independent predictor of adverse cardiovascular events in the future [11–13].
The aim of the retrospective analysis presented in this paper was to evaluate the hypothesis that TFC is a useful parameter for predicting the outcome of CR.
2.1. Study Population and Protocol
We studied 50 patients (44 men; mean age years) with HF in stable clinical condition qualified for CR in the Department of Cardiac Rehabilitation and Noninvasive Electrocardiology (Institute of Cardiology, Warsaw, Poland). To assure relatively homogenous study group, inclusion criteria were defined as (1) systolic HF regardless of its aetiology, defined according to the European Society of Cardiology (ESC) guidelines  and diagnosed at least 3 months before study enrollment; (2) LV ejection fraction (LVEF) ≤40% as assessed by echocardiography; (3) New York Heart Association (NYHA) class II-III; and (4) stable clinical condition and optimal treatment that was not modified during the last 4 weeks before study enrollment.
All of the patients underwent detailed screening before recruitment to exclude any diseases that could strongly influence exercise capability, training compliance, and haemodynamic status. Exclusion criteria included (1) NYHA class I or IV; (2) unstable angina; (3) an acute coronary syndrome within the last 4 weeks, coronary artery bypass grafting within the last 8 weeks, or initiation of cardiac resynchronization therapy (CRT) within the last year; (4) symptomatic or exercise-induced arrhythmia or conduction disturbances; (5) valvular heart disease or other acquired cardiac conditions requiring surgical intervention; (6) hypertrophic cardiomyopathy; (7) severe pulmonary hypertension or other severe lung diseases; (8) uncontrolled hypertension; (9) anemia (haemoglobin level < 10.0 g/dL); (10) acute and/or decompensated noncardiac disease; (11) impaired motor function due to severe musculoskeletal or neurological disease; (12) severe or chronic inflammatory disorders; (13) neoplasm; (14) severe mental disorder; and (15) lack of patient consent to participate in the study.
Drug therapy used prior to initiation of CR was not modified during the training. Demographic and clinical characteristics of the study group are shown in Table 1.
During this prospective study, all patients underwent clinical assessment before and after 8 weeks of CR that included clinical examination with evaluation of symptoms using the NYHA classification, echocardiography, six-minute walk test (6-MWT), cardiopulmonary exercise treadmill test (CPET), and ICG. The study was approved by the local ethics committee at the National Institute of Cardiology, and all patients gave written informed consent for the participation in the study.
Two-dimensional echocardiography was performed using standard parasternal, apical, and subcostal views (VIVID 4 GE Medical System, 2.5 MHz transducer). The left ventricular ejection (LVEF (%)) was analyzed using the biplane Simpson technique.
2.3. Cardiopulmonary Exercise Treadmill Test
Cardiopulmonary exercise treadmill test (CPET) was done at the same time in the morning for all patients, approximately 2 h after their morning medications and a light breakfast. Each subject performed a symptom limited CPET according to a ramp protocol, as recommended by the American Association of Cardiovascular and Pulmonary Rehabilitation . The test was performed using a Schiller treadmill (Carrollton, USA) which was connected to a computerized breath-by-breath spiroergometry system (ZAN 600, ZAN Messgeräte GmbH, Germany). Oxygen consumption (VO2) was measured continuously using breath-by-breath analysis and used as an index of exercise capacity. Peak VO2 (mL × kg−1 × min−1) was defined as the highest oxygen uptake level achieved during the final 30 s of CPET. The formula used for the prediction of VO2 (peak VO2% N) was the Wasserman standard calculation, which incorporates sex, age, height, and weight of the subject and is valid for patients aged over 20 years . A 12-lead electrocardiogram (ECG) and heart rate (HR) were recorded continuously at rest, during the CPET, and during recovery until HR, ECG, and VO2 returned to the baseline values. Blood pressure was measured manually every 2 min using a sphygmomanometer. Subjects were encouraged to exercise until they reached a self-determined limit of their functional capacity (perceived exertion or dyspnoea) or until the physician terminated the test according to the ESC guidelines . None of the patients were limited by angina. The patient’s subjective level of perceived exertion was quantified every minute during and at the end of CPET using the Borg (6–20) scale .
2.4. Six-Minute Walking Test
This was conducted using a standardized protocol between 11 AM and 2 PM after taking the usual medication . Patients were required to perform a 6 min shuttle walk test with markers placed at 25 m. The distance in 6-MWT was analyzed.
2.5. Impedance Cardiography
All ICG measurements were performed using a Niccomo device (Medis, Germany) in a supine position and after 10 min of rest. Date were recorded during a 10 min study and exported to a dedicated software (Niccomo Software). In this study, we analyzed one of the measured parameters—TFC (its absolute values and change after CR).
2.6. Exercise Training
Exercise training (ET) was planned individually for each patient in line with the published guidelines [19–21]. The chosen workload reflected individual effort tolerance with regard to (1) perceived exertion according to the Borg scale and (2) the training HR range where the assumption was that patients should not exceed perceived moderate exertion during ET (i.e., a score of 11 on the Borg scale). The training HR was calculated using the method known as HR reserve. This method uses a percentage of the difference between the maximum HR and the resting HR and adds this value to the resting HR . The target training HR was 40–70% of the HR reserve. Following baseline evaluation during the hospitalization, patients underwent a few, usually three–five, monitored educational ET sessions, during which HR at the perceived moderate exertion level was established. After that, all patients underwent an 8-week comprehensive home-based cardiac telerehabilitation. A training session consisted of three parts: (1) a warmup lasting 5–10 min, consisting of breathing, light resistance exercises, and calisthenics, (2) an aerobic endurance training based on walking training for 30 min, and (3) a 5 min cooling down period. Patients trained three times a week. The methodology of monitoring and education has been described previously [23–25].
2.7. Statistical Analysis
The statistical analysis of the results has been performed using Statistica 7.0 (StatSoft, Inc.). The distribution and normality of data were assessed by visual inspection and using the Shapiro-Wilk test. Continuous variables were presented as means ± standard deviations (SD) and categorical variables as absolute and relative frequencies (percentages). Assessments of CR outcomes and between-group comparisons were performed using the Student’s t-test for normally distributed data and using nonparametric tests for data that did not show a normal distribution. Linear correlations were defined using Pearson’s correlation coefficient. Absolute changes in the study parameters were calculated by subtracting the pre-CR value of a given parameter from its post-CR value. In the qualitative analysis, changes of more than 5% were considered significant. A value of was taken to indicate statistical significance.
3.1. The Outcomes of Cardiac Rehabilitation in the Study Population
CR resulted in increased exercise tolerance in terms of improved peak VO2, peak VO2% N, and the 6-MWT distance (Table 2). Furthermore, an improvement in the NYHA class was seen in more than 30% of the patients. ICG performed after the CR also showed a reduction in TFC. These results have been presented and discussed elsewhere .
3.2. The Outcomes of Cardiac Rehabilitation in TFC Subgroups
Median baseline TFC in the study population was 27.0 kOhm−1 (range: 17.5–37.7 kOhm−1). The patients were therefore divided into two subgroups: a subgroup with TFC values above 27.0 kOhm−1 (high TFC) and a subgroup with TFC values below 27.0 kOhm−1 (low TFC). A significantly greater improvement of peak VO2 and peak VO2% N and a significantly greater TFC reduction were observed in the “high TFC” subgroup. At the same time, these patients had lower BMI values. The prevalence of treatment with diuretics was significantly higher in the “low TFC” subgroup (Table 3). No significant differences were observed in the other parameters.
3.3. The Outcomes of Cardiac Rehabilitation in Subgroups Distinguished by Peak VO2 Improvement
No clinically relevant increase in peak VO2 after CR was observed in 36% of the patients (with some of these patients showing a decrease). The patients in whom peak VO2 increased after CR were characterised by significantly higher baseline TFC values and a greater reduction of the value of this parameter following CR (Table 4). The change in TFC significantly correlated with the change in peak VO2% N (; )—Figure 1, peak VO2 (; ), and LVEF (; ). We observed no distinct interrelation between the beneficial change in peak VO2% and the other parameters.
The quality of life in HF patients largely depends on ability to ET, which is why CR plays a special role in the management of HF. However, not all the patients show improvement in functional parameters after completion of a CR cycle. In the face of an epidemic of HF at the beginning of the 21st century, the search for diagnostic methods that would help identify patients who would benefit the most from CR seems particularly justified. ICG seems to be a useful tool for predicting the outcome of CR.
4.1. Predictability of the Effectiveness of Cardiac Rehabilitation
As is commonly known, not all the patients who undergo CR achieve an improvement in exercise capability. The variable clinical effect of CR is undoubtedly due to complex pathomechanism. Excessive sympathetic stimulation is reported to be one of the reasons for the lack of favourable response to CR. It has been demonstrated that a lower chronotropic reserve and a slower heart rate recovery (as two interrelated parameters) are signs of parasympathetic dysfunction and are associated with a poorer response to CR and an unfavourable prognosis .
Another factor that correlates with the outcome of CR and prognosis in patients undergoing ET is systolic blood pressure recovery, a parameter that characterises the rate at which systolic blood pressure returns to baseline after exercise. Sheikhvatan et al.  showed that baseline systolic blood pressure recovery rate allows to predict the success of CR. This study points out the fact that impaired normalisation of blood pressure after exercise may be accompanied by a poorer exercise capability and impaired control of the autonomic nervous system in terms of vascular resistance modulation . A more detailed assessment of the left ventricular systolic function may also be useful for predicting the outcome of CR. For example, Smart et al.  observed that the change in peak VO2 as a result of CR correlated with the baseline value (; ) and the change (; ) in left ventricular strain assessed by tissue Doppler imaging.
It seems that the paradoxical finding that patients in a better clinical condition improve relatively less after ET is not accidental. It turns out that the greatest improvement in peak VO2 following CR is observed in patients with the greatest baseline impairment of exercise capability [13, 28, 29]. Rocha et al.  have also demonstrated that the greatest improvement of exercise capability is seen in older and less fit patients.
4.2. Impedance Cardiography
The factors affecting the outcome of CR and haemodynamic mechanisms underlying the clinical response to ET in patients with HF continue to be investigated in clinical trials. The baseline haemodynamic status should be, beyond any doubt, considered in the planning of ET and the course of CR.
On the base of previous studies [31–35], we considered ICG to be potentially useful for haemodynamic monitoring in patients undergoing CR. ICG enables the assessment of clinically relevant parameters, among which CO and TFC seem particularly important in the case of HF patients. In our study population, CR led to a reduction in TFC but only in the group of patients with relatively higher values of that parameter. What is most important is that this phenomenon was accompanied by a significant increase in peak VO2. In patients with low baseline TFC, cardiac rehabilitation did not lead to such marked improvement in exercise capability measured by peak VO2. Given the fact that physical exercise in HF patients decreases preload , it is reasonable to assume that the “high TFC” subgroup benefited as a result of this mechanism. Although they were clinically stable and with TFC values within a range (27.0–37.7 kOhm−1) that only slightly exceeded 35 kOhm−1 (the value proposed by Packer et al.  as a cutoff value for elevated risk of HF decompensation), ET effected a further reduction of TFC accompanied by an improvement in exercise capability. No such beneficial change in the haemodynamic profile was observed in the “low TFC” subgroup. The improvement of neurohormonal balance after CR—that was observed by other investigators—could be the important effect of ET explaining the lowering of TFC . Lower prevalence of treatment with diuretic in the “high TFC” subgroup can be considered as an explanation of baseline “subclinical fluid overload.” However, these observations do not find clear confirmation in the analysis of subgroups distinguished by peak VO2 improvement, where clinical benefit was associated with more frequent use of diuretics.
In the context of quite surprising finding that the patients with a relatively low TFC benefit less from CR, it could be hypothesised that in HF patients, a nonlinear relationship between the clinical condition and the fluid status may exist (similar to the J-curve of blood pressure distribution). This hypothesis is also supported by the observation that excessively intensive diuretic use in HF patients adversely affects their clinical condition . The relevant dependence of cardiac pump function on the Frank-Starling mechanism can play an important role in this phenomenon. In healthy individuals, left ventricular systolic function principally depends on the inotropic properties of cardiac myocytes, while in patients with advanced HF, the contractile response to stretching is the predominant component of the left ventricular contraction mechanisms [39–43]. The evaluation of TFC may therefore be important for predicting the outcome of CR.
In our study, we did not observe any effect of CR on LVEF. These results confirm the majority of observations that showed minimal or no change of LVEF after CR and poor correlation between peak VO2 and LVEF [19, 44, 45]. However, the lack of increase in resting LVEF does not exclude hemodynamic improvement in left ventricular function, especially during exercise. Although HF patients are predominantly dependent on systolic dysfunction, abnormal left ventricular filling dynamics and impaired relaxation also play an important role in low exercise performance . ET can elicit increase in cardiac output by improvement in exercise maximal stroke volume because of the decrease in end-diastolic volumes and pressures, even with no parallel alternation in resting LVEF [19, 44]. As we suggested in our previous study , the clinical benefits of CR may be partly explained by an increase in preload-dependent contractile reserve and reduced LVEF dependency on the Frank-Starling mechanism.
The authors are aware that the small sample size and the retrospective design are limitations of the study and that the evaluation of the outcome of CR directly after its completion may not be equivalent to long-term outcomes. It should be expected that the results obtained in a larger group of patients would be characterised by a higher statistical power. At the same time, haemodynamic monitoring of exercise using ICG, which is currently possible (using, for instance, the portable device PhysioFlow (Manatec Biomedical, France)), would be a valuable complement. We are also aware of some bias to males that stated 88% of the study population and lower BMI and dyslipidaemia prevalence in the “high TFC” subgroup.
Thoracic fluid content measured by impedance cardiography revealed to be a useful parameter in predicting beneficial effects of cardiac rehabilitation. Patients with higher thoracic fluid content seem to benefit more from cardiac rehabilitation when their fluid status improves. Thoracic fluid content may therefore be a parameter worth including in the process of patient qualification for cardiac rehabilitation.
Conflict of Interests
The authors of the paper do not have any financial or personal relation with the commercial identities mentioned in this paper that might lead to a conflict of interests. The authors also have no other conflict of interests to disclose.
Grzegorz Gielerak and Paweł Krzesiński contributed equally to this work.
The authors would like to express their gratitude for help in performing the impedance cardiography to Dr. Jaroslaw Kowal and Dr. Monika Grzęda.
- R. Ventura-Clapier, B. Mettauer, and X. Bigard, “Beneficial effects of endurance training on cardiac and skeletal muscle energy metabolism in heart failure,” Cardiovascular Research, vol. 73, no. 1, pp. 10–18, 2007.
- R. Belardinelli, D. Georgiou, G. Cianci, and A. Purcaro, “Exercise training for patients with chronic heart failure reduced mortality and cardiac events and improved quality of life,” The Western Journal of Medicine, vol. 172, no. 1, p. 28, 2000.
- R. Belardinelli, D. Georgiou, G. Cianci, and A. Purcaro, “10-year exercise training in chronic heart failure: a randomized controlled trial,” Journal of the American College of Cardiology, vol. 60, no. 16, pp. 1521–1528, 2012.
- C. M. Perez-Terzic, “Exercise in cardiovascular diseases,” PM & R, vol. 4, no. 11, pp. 867–873, 2012.
- G. Gielerak, E. Piotrowicz, P. Krzesiński, J. Kowal, M. Grzȩda, and R. Piotrowicz, “The effects of cardiac rehabilitation on haemodynamic parameters measured by impedance cardiography in patients with heart failure,” Kardiologia Polska, vol. 69, no. 4, pp. 309–317, 2011.
- P. Krzesiński, G. Gielerak, and J. Kowal, “Impedance cardiography—a modern tool for monitoring therapy of cardiovascular diseases,” Kardiologia Polska, vol. 67, no. 1, pp. 65–71, 2009.
- W. F. Peacock, R. L. Summers, J. Vogel, and C. E. Emerman, “Impact of impedance cardiography on diagnosis and therapy of emergent dyspnea: The ED-IMPACT Trial,” Academic Emergency Medicine, vol. 13, no. 4, pp. 365–371, 2006.
- M. Packer, W. T. Abraham, M. R. Mehra et al., “Utility of impedance cardiography for the identification of short-term risk of clinical decompensation in stable patients with chronic heart failure,” Journal of the American College of Cardiology, vol. 47, no. 11, pp. 2245–2252, 2006.
- P. Krzesinski, D. Michalkiewicz, Z. Orski, K. Krzyzanowski, and G. Gielerak, “Is haemodynamic evaluation with impedance cardiography in patients with heart failure undergoing testing of the implanted cardioverter-defibrillator of clinical importance?” Kardiologia Polska, vol. 69, no. 6, pp. 548–556, 2011.
- J. J. McMurray, S. Adamopoulos, S. D. Anker, et al., “ESC guidelines for the diagnosis and treatment of acute and chronic heart failure 2012: The Task Force for the Diagnosis and Treatment of Acute and Chronic Heart Failure 2012 of the European Society of Cardiology. Developed in collaboration with the Heart Failure Association (HFA) of the ESC,” European Journal of Heart Failure, vol. 14, no. 8, pp. 803–869, 2012.
- J. Dorn, J. Naughton, D. Imamura, and M. Trevisan, “Results of a multicenter randomized clinical trial of exercise and long- term survival in myocardial infarction patients: The National Exercise and Heart Disease Project (NEHDP),” Circulation, vol. 100, no. 17, pp. 1764–1769, 1999.
- J.-Y. Tabet, P. Meurin, F. Beauvais et al., “Absence of exercise capacity improvement after exercise training program: a strong prognostic factor in patients with chronic heart failure,” Circulation, vol. 1, no. 4, pp. 220–226, 2008.
- T. Kavanagh, D. J. Mertens, L. F. Hamm et al., “Prediction of long-term prognosis in 12 169 men referred for cardiac rehabilitation,” Circulation, vol. 106, no. 6, pp. 666–671, 2002.
- G. J. Balady, “Medical evaluation and exercise testing,” in Guidelines for Cardiac Rehabilitation and Secondary Prevention Programs, M. A. Williams, Ed., p. 79, American Association of Cardiovascular and Pulmonary Rehabilitation. Human Kinetics, 4th edition, 2004.
- K. Wasserman, J. Hansen, D. Y. Sue, W. W. Stringer, and B. J. Whipp, Principles of Exercise Testing and Interpretation, Lippincott Williams & Wilkins, 2005.
- Task Force of the Italian Working Group on Cardiac Rehabilitation and Prevention, Working Group on Cardiac Rehabilitation and Exercise Physiology of the European Society of Cardiology, M. F. Piepoli, et al., “Statement on cardiopulmonary exercise testing in chronic heart failure due to left ventricular dysfunction: recommendations for performance and interpretation Part II: how to perform cardiopulmonary exercise testing in chronic heart failure,” European Journal of Cardiovascular Prevention and Rehabilitation, vol. 13, no. 3, pp. 300–311, 2006.
- G. Borg, “Psychophysical basis of perceived exertion,” Medicine & Science in Sports & Exercise, vol. 5, no. 14, pp. 90–93, 1982.
- S. D. Eeell, J. S. Chambers, D. P. Francis, D. Fedwards, and R. H. Stables, “Shuttle-walk test to assess chronic heart failure,” The Lancet, vol. 352, no. 9129, p. 705, 1998.
- I. L. Piña, C. S. Apstein, G. J. Balady et al., “Exercise and heart failure: a statement from the American Heart Association Committee on Exercise, Rehabilitation, and Prevention,” Circulation, vol. 107, no. 8, pp. 1210–1225, 2003.
- Working Group on Cardiac Rehabilitation & Exercise Physiology and Working Group on Heart Failure of the European Society of Cardiology, “Recommendations for exercise training in chronic heart failure patients,” European Heart Journal, vol. 22, no. 2, pp. 125–135, 2001.
- R. Piotrowicz, P. Dylewicz, A. Jegier et al., “Comprehensive cardiac rehabilitation a statement from Polish Cardiac Society,” Folia Cardiologica, vol. 11, supplement, pp. A36–A40, 2004.
- V. F. Froelicher and J. Myers, “Effect of exercise on the heart and the prevention of coronary heart disease,” in Exercise and the Heart, S. F. Pioli, Ed., p. 424, Elsevier, Philadelphia, Pa, USA, 5th edition, 2006.
- E. Piotrowicz, R. Baranowski, M. Bilinska et al., “A new model of home-based telemonitored cardiac rehabilitation in patients with heart failure: effectiveness, quality of life, and adherence,” European Journal of Heart Failure, vol. 12, no. 2, pp. 164–171, 2010.
- E. Piotrowicz, “How to do: telerehabilitation in heart failure patients,” Cardiology Journal, vol. 19, no. 3, pp. 243–248, 2012.
- E. Piotrowicz, A. Jasionowska, M. Banaszak-Bednarczyk, J. Gwilkowska, and R. Piotrowicz, “ECG telemonitoring during home-based cardiac rehabilitation in heart failure patients,” Journal of Telemedicine and Telecare, vol. 18, no. 4, pp. 193–197, 2012.
- M. Sheikhvatan, M. Nejatian, and A. Sardari, “Baseline systolic blood pressure response to exercise stress test can predict exercise indices following cardiac rehabilitation program,” Journal of Tehran University Heart Center, vol. 5, no. 4, pp. 184–187, 2010.
- N. Smart, B. Haluska, L. Jeffriess, C. Case, and T. H. Marwick, “Cardiac contributions to exercise training responses in patients with chronic heart failure: a strain imaging study,” Echocardiography, vol. 23, no. 5, pp. 376–382, 2006.
- F. Araya-Ramírez, K. K. Briggs, S. R. Bishop, C. E. Miller, J. Moncada-Jiménez, and P. W. Grandjean, “Who is likely to benefit from phase II cardiac rehabilitation?” Journal of Cardiopulmonary Rehabilitation and Prevention, vol. 30, no. 2, pp. 93–100, 2010.
- L. M. Pierson, L. E. Miller, and W. G. Herbert, “Predicting exercise training outcome from cardiac rehabilitation,” Journal of Cardiopulmonary Rehabilitation, vol. 24, no. 2, pp. 113–120, 2004.
- A. J. Rocha, V. Araújo, F. Parada, M. J. Maciel, and A. Azevedo, “Age does not determine the physical, functional and psychosocial response to a cardiac rehabilitation program,” Revista Portuguesa de Cardiologia, vol. 30, no. 5, pp. 479–507, 2011.
- C. W. Parrott, K. M. Burnham, C. Quale, and D. L. Lewis, “Comparison of changes in ejection fraction to changes in impedance cardiography cardiac index and systolic time ratio,” Congestive Heart Failure, vol. 10, supplement 2, pp. 11–13, 2004.
- M. A. Silver, P. Cianci, S. Brennan, H. Longeran-Thomas, and F. Ahmad, “Evaluation of impedance cardiography as an alternative to pulmonary artery catheterization in critically ill patients,” Congestive Heart Failure, vol. 10, no. 2, pp. 17–21, 2004.
- M. Packer, W. T. Abraham, M. R. Mehra et al., “Utility of impedance cardiography for the identification of short-term risk of clinical decompensation in stable patients with chronic heart failure,” Journal of the American College of Cardiology, vol. 47, no. 11, pp. 2245–2252, 2006.
- P. Cianci, H. Lonergan-Thomas, S. Brennan, and S. Silver, “Bedside use of impedance cardiography to document and monitor heart failure with preserved systolic function: delineation of impaired stroke volume reserve,” Journal of Cardiac Failure, vol. 9, supplement, p. S95, 2003.
- M. F. L. Ramirez, C. E. Marinas, M. E. Yamamoto, and E. Caguioa, “Impedance Cardiography in heart failure patients in the intensive care unit: its value in the detection of left ventricular systolic dysfunction and correlation with the echocardiogram,” Journal of the American College of Cardiology, vol. 43, no. 5, supplement, p. 207A, 2004.
- S. Lalande, C. E. Luoma, A. D. Miller, and B. D. Johnson, “Expiratory loading improves cardiac output during exercise in heart failure,” Medicine & Science in Sports & Exercise, vol. 44, no. 12, pp. 2309–2314, 2012.
- M. Bilińska, M. Kosydar-Piechna, A. Gasiorowska et al., “Influence of dynamic training on hemodynamic, neurohormonal responses to static exercise and on inflammatory markers in patients after coronary artery bypass grafting,” Circulation Journal, vol. 74, no. 12, pp. 2598–2604, 2010.
- M. T. Maeder, H. Rickli, M. E. Pfisterer et al., “Incidence, clinical predictors, and prognostic impact of worsening renal function in elderly patients with chronic heart failure on intensive medical therapy,” American Heart Journal, vol. 163, no. 3, pp. 407–414, 2012.
- J. Weil, T. Eschenhagen, S. Hirt et al., “Preserved frank-starling mechanism in human end stage heart failure,” Cardiovascular Research, vol. 37, no. 2, pp. 541–548, 1998.
- H. Fukuta and W. C. Little, “The cardiac cycle and the physiologic basis of left ventricular contraction, ejection, relaxation, and filling,” Heart Failure Clinics, vol. 4, no. 1, pp. 1–11, 2008.
- J. E. Stelzer and R. L. Moss, “Contributions of stretch activation to length-dependent contraction in murine myocardium,” Journal of General Physiology, vol. 128, no. 4, pp. 461–471, 2006.
- D. E. R. Warburton, A. Taylor, S. S. D. Bredin, B. T. A. Esch, J. M. Scott, and M. J. Haykowsky, “Central haemodynamics and peripheral muscle function during exercise in patients with chronic heart failure,” Applied Physiology, Nutrition and Metabolism, vol. 32, no. 2, pp. 318–331, 2007.
- J. Ross Jr. and E. Braunwald, “Studies on Starling's law of the heart. IX. The effects of impeding venous return on performance of the normal and failing human left ventricle,” Circulation, vol. 30, pp. 719–727, 1964.
- M. J. Sullivan and F. R. Cobb, “Central hemodynamic response to exercise in patients with chronic heart failure,” Chest, vol. 101, no. 5, supplement 5, pp. 340S–346S, 1992.
- G. Papathanasiou, N. Tsamis, P. Georgiadou, and S. Adamopoulos, “Beneficial effects of physical training and methodology of exercise prescription in patients with heart failure,” Hellenic Journal of Cardiology, vol. 49, no. 4, pp. 267–277, 2008.