Measuring mechanical cardiac dyssynchrony in the 3-D era
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The use of dobutamine in heart failure (HF) patients can be connected to either a therapeutic or a diagnostic strategy. When dilated cardiomyopathy patients with acute decompensated heart failure (ADHF) and low left ventricular ejection fraction (LVEF) are treated with inotropic agents in an hospital setting, the main goal is that of improving cardiac function and relieving symptoms until definitive therapy (coronary revascularization, heart transplantation, etc.) is performed, or the acute precipitating problem has resolved.1-3 While there are concerns that inotropic agents may adversely affect mortality and clinical outcomes,4,5 dobutamine is nevertheless widely used in ADHF patients with low LVEF and is effective in inducing improvements in both myocardial contractility and vascular endothelial function,6 with the effects sometime lasting up to a month or longer and inspiring the term “dobutamine holiday.”7
From a diagnostic perspective, dobutamine stress testing has been employed to identify potential cardiac resynchronization therapy (CRT) responders. Logically speaking, CRT can be expected to be effective only if dyssynchrony exists, either at rest or at stress, and dobutamine stress may help bring about regional differences in myocardial contractility. Moreover, a dobutamine-induced variation in dyssynchrony, whether positive or negative, may bear a greater relationship to clinical outcomes than rest dyssynchrony, similarly to what has been reported for exercise stress.8 Of note, dyssynchrony may compensate the typical stress-induced increase in contractile reserve (CR), resulting in a paradoxical lack of increase in ejection fraction in spite of greater myocardial contractility.9
While the standard for referral to CRT is still a wide (>120 ms) QRS complex,10 it has been reported that one-third of heart failure patients with a wide QRS do not have mechanical dyssynchrony, while 40-50% of those without a wide QRS do,11 these findings probably representing a major reason why about 30-40% of patients referred to CRT do not benefit from it.12 If dyssynchrony is a better predictor of response to CRT than QRS width, as well as possibly better correlated to adverse outcomes—for example, dyssynchrony that develops under exercise stress has been reported to be associated with a higher frequency of adverse cardiac outcomes in patients with dilated cardiomyopathy (DCM) and narrow QRS complex13—it would appear important to expend the effort to measure cardiac dyssynchrony in the most accurate and precise (reproducible) manner.
Cardiac dyssynchrony has been typically measured using echocardiographic techniques, which are mostly two-dimensional and not as standardized as one might want, in terms of both study performance and image analysis. Indeed, the Predictors of Response to CRT (PROSPECT) multicenter trial, whose results suggested that no individual echocardiographic measure of mechanical cardiac dyssynchrony could predict response to CRT with good sensitivity and specificity, suffered from unacceptably high inter-observer variabilities (32-72%) and intra-observer variabilities (16-24%).14 The implied message here is perhaps that a three-dimensional, standardized and automated imaging modality is the most natural and suitable choice to measure a “difficult” parameter such as dyssynchrony, which ought to retain an essential role in the evaluation of the prospective CRT patient.8
Cardiac Magnetic Resonance Imaging (cMRI) allows high-resolution tracking of myocardial surfaces in the 3-D space (albeit via non-isotropic voxels), using advanced techniques such as myocardial tagging, harmonic phase analysis, and strain encoding.15 While promising, cMRI suffers from high equipment cost, complexity of image acquisition, and lack of fully automated algorithms for image quantification, leading to its narrowly spread application to the measurement of mechanical cardiac dyssynchrony. Similarly, multi-detector computed tomography (MDCT), although capable of acquiring high-resolution images of the entire heart in the time of a breath-hold, is challenged both by a still limited temporal resolution and by the lack of standardized and automated analysis tools.16
In historical and practical terms, the main alternatives to echocardiography for the assessment of mechanical dyssynchrony have been nuclear cardiology techniques, with the planar radionuclide ventriculography (PRNV) approach originally described in 1980,17 eventually evolving into gated blood pool SPECT (GBPS) to better quantify the 3-D heart.18 Both PRNV and GBPS can measure mechanical dyssynchrony associated with endocardial motion by analyzing the variation of counts within, or at the periphery of, a region of interest over the cardiac cycle. Accordingly, the paper by Salimian et al. in this issue of the Journal19 uses a previously described and validated GBPS algorithm to measure intra- and inter-ventricular dyssynchrony, as a function of varying degrees of dobutamine stress, in eight dogs with tachycardia-induced dilated cardiomyopathy (DCM). With the caveats that coronary artery disease (CAD) rather than DCM causes systolic heart failure in most cases in the United States,20 and that induced DCM in a canine model is not by its nature equivalent to chronic HF in humans, this study contributes to the growing body of literature seeking to clarify the relationship between mechanical cardiac dyssynchrony and heart failure.
While this is obviously not a concern in DCM patients, GBPS is often thought to offer increased robustness in the presence of large perfusion defects; however, a simulation study has demonstrated the accuracy of MPI phase analysis in ventricles where defect uptake is as low as 10% of that in normal regions,23 as also shown in Figure 1. Perhaps more importantly, myocardial thickening may better assess the dyssynchrony of myocardial contraction by being less susceptible to tethering effects of defect areas24—indeed, in some MPI quantitative algorithms, endocardial motion is defined as a combination of mid-myocardial wall motion and myocardial thickening.21
The authors have no conflict of interest to disclose with respect to this editorial.
- 2.McMurray JJV, Adamopoulos S, Anker SD, Auricchio A, Boehm M, Dickstein K, 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. Eur J Heart Fail 2012;14:803-69.CrossRefPubMedGoogle Scholar
- 3.Yancy CW, Jessup M, Bozkurt B, Butler J, Casey DE Jr, Drazner MH, et al. 2013 ACCF/AHA guideline for the management of heart failure: Executive summary a report of the American College of Cardiology Foundation/American Heart Association Task Force on practice guidelines. Circulation 2013;128:1810-52.CrossRefPubMedGoogle Scholar
- 5.Abraham WT, Adams KF, Fonarow GC, Costanzo MR, Berkowitz RL, LeJemtel TH, et al. In-hospital mortality in patients with acute decompensated heart failure requiring intravenous vasoactive medications—An analysis from the Acute Decompensated Heart Failure National Registry (ADHERE). J Am Coll Cardiol 2005;46:57-64.CrossRefPubMedGoogle Scholar
- 10.Hunt SA, Abraham WT, Chin MH, Feldman AM, Francis GS, Ganiats TG, et al. 2009 focused update incorporated into the ACC/AHA 2005 guidelines for the diagnosis and management of heart failure in adults a report of the American College of Cardiology Foundation/American Heart Association Task Force on practice guidelines. Circulation 2009;119:E391-479.CrossRefPubMedGoogle Scholar
- 19.Salimian S, Thibauld B, Finnerty V, Gregoire J, Harel F. Phase analysis of gated blood pool SPECT for multiple stress testing assessments of ventricular mechanical dyssynchrony in a tachycardia-induced dilated cardiomyopathy canine model. J Nucl Cardiol 2016 (in press).Google Scholar
- 22.Chen J, Garcia EV, Folks RD, Cooke CD, Faber TL, Tauxe L, et al. Onset of left ventricular mechanical contraction as determined by phase analysis of ECG-gated myocardial perfusion SPECT imaging: Development of a diagnostic tool for assessment of cardiac mechanical dyssynchrony. J Nucl Cardiol 2005;12:687-95.CrossRefPubMedGoogle Scholar