The Shape-HF™ Cardiopulmonary Exercise Testing System

The Shape-HF™ Cardiopulmonary Exercise Testing System
The Shape-HF™ Cardiopulmonary Exercise Testing System
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Author(s): 

Adam Price, MD, and Abraham G. Kocheril, MD
University of Illinois at Chicago
Chicago, Illinois

In this article, the authors describe their use of the Shape-HF system in patients with cardiovascular disease. They also discuss other applications of the technology, such as in cardiac resynchronization therapy and pulmonary arterial hypertension.

Background

Currently, chronic cardiovascular disease — specifically, congestive heart failure (CHF) — represents one of the biggest and most expensive disease processes that face our healthcare system. While research has identified several therapies known to improve morbidity and mortality in heart failure (i.e., beta blockers, ACE inhibitors [ACEIs] and device therapies), objective assessments of overall response to therapy and prognosis remain lacking. At this time, the tools available to the physician that can help estimate prognosis include the New York Heart Association (NYHA) functional classification, the six-minute walk test, and cardiopulmonary exercise testing (CPET). The difficulties associated with the first two tools are that they introduce interobserver variability as well as issues related to patient effort, although both have been correlated with prognosis in CHF.

While the first two assessment tools can be impacted by a number of conditions, the usage of CPET does offer a more objective measure of patient functional capacity. As data has already shown, the peak oxygen consumption (VO2) obtained during CPET has relevance both in patient prognosis as well as determining when patients should be referred for cardiac transplant.1,4,11 This measure has also been useful in determining response to various therapeutic interventions in the CHF population.1 While this data grew rapidly in the early 1990s, the identification of ventilatory parameters did not start to be recognized until the later 1990s.1 The measure of ventilatory efficiency (VE/VCO2) started to gain more attention when certain limitations in measurement of VO2 became evident.1,4,11 In particular, some studies have suggested that measurements of peak VO2 were not reflective of the addition of beta blockers, whereas the VE/VCO2 slope retains its prognostic significance despite medical therapy for CHF.1,11 In addition, the measurement of peak VO2 has required patients to achieve maximal exertional capacity, which is difficult given the nature of the disease processes being investigated.

The Shape System

At the University of Illinois at Chicago (UIC), we have been able to obtain early experience with a submaximal cardiopulmonary exercise system (Shape Medical Systems, Inc., St. Paul, MN) (Figure 1). While the data supporting the usage of cardiopulmonary testing at maximal exercise are robust, there are limitations to its usage as previously identified. Measures such as VE/VCO2, oxygen pulse (VO2/HR), oxygen uptake efficiency (VO2/log VE), and partial pressure of end-tidal carbon dioxide (ETCO2), have already been shown to carry significant prognostic value.1,2 Additionally, other measures such as heart rate recovery and chronotropic response index provide additional useful information. Combining these measures, already clinically proven in prior studies of CHF, along with the innovation of measurement at submaximal exercise, we believe make the Shape system particularly appealing for clinical use.

References: 

1. Arena R, Myers J, Guazzi M. The clinical and research applications of aerobic capacity and ventilatory efficiency in heart failure: an evidence-based review. Heart Fail Rev 2008;13:245-269.

2. Arena R, Myers J, Aslam SS, et al. Technical considerations related to the minute ventilation/carbon dioxide output slope in patients with heart failure. Chest 2003;124:720-727.

3. Auricchio A, Kloss M, Trautmann S, et al. Exercise performance following cardiac resynchronization therapy in patients with heart failure and ventricular conduction delay. Am J Cardiol 2002;89:198-203.

4. Bard RL, Gillespie BW, Clarke NS, et al. Determining the best ventilatory efficiency measure to predict mortality in patients with heart failure. J Heart Lung Transplant 2006;25:589-595.

5. Bristow MR, Saxon LA, Boehmer J, et al, for the Comparison of Medical Therapy, Pacing, and Defibrillation in Heart Failure (COMPANION) Investigators. Cardiac-resynchronization therapy with or without an implantable defibrillator in advanced chronic heart failure. N Engl J Med 2004;350:2140-2150.

6. Burri H, Sunthorn H, Shah D, Lerch R. Optimization of device programming for cardiac resynchronization therapy. Pacing Clin Electrophysiol 2006;29:1416-1425.

7. Burri H, Sunthorn H, Somsen A, et al. Optimizing sequential biventricular pacing using radionuclide ventriculography. Heart Rhythm 2005;9:960-965.

8. Chung ES, Leon AR, Tavazzi L, et al. Results of the Predictors of Response to CRT (PROSPECT) Trial. Circulation 2008;117:2608-2616.

9. Cleland JG, Daubert JC, Erdmann E, et al, for the Cardiac Resynchronization-Heart Failure (CARE-HF) Study Investigators. The effect of cardiac resynchronization on morbidity and mortality in heart failure. N Engl J Med 2005;352:1539-1549.

10. Fischer A, Hansalia R, Buckley S, et al. Lack of clinical predictors of optimal V-V delay in patients with cardiac resynchronization devices. J Interv Card Electrophysiol 2009;25:153-158.

11. Kleber FX, Vietzke G, Wernecke KD, et al. Impair-ment of ventilatory efficiency in heart failure: prognostic impact. Circulation 2000;101:2803-2809.

12. Koike A, Itoh H, Kato M, et al. Prognostic power of ventilatory responses during submaximal exercise in patients with chronic heart disease. Chest 2002;121:1581-1588.

13. Wasserman K, Sun XG, Hansen JE. Effect of biventricular pacing on the exercise pathophysiology of heart failure. Chest 2007;132:250-261.

14. Yasunobu Y, Oudiz R, Sun XG, et al. End-tidal PCO2 abnormality and exercise limitation in patients with primary pulmonary hypertension. Chest 2005;127:1637-1646.

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