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J Am Coll Cardiol, 2009; 54:625-627, doi:10.1016/j.jacc.2009.04.058
© 2009 by the American College of Cardiology Foundation
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EDITORIAL COMMENT

Do We Need New Echocardiographic Prognosticators for the Management of Heart Failure Patients?*

Stephane Lafitte, MD, PhD*

Cardiologic Hospital and Inserm 828, Bordeaux University Hospital Center, Pessac, France

* Reprint requests and correspondence: Dr. Stephane Lafitte, Service des Echocardiographies, Hopital Cardiologique, Avenue Magellan, Pessac, Gironde 33600, France (Email: stephane.lafitte{at}chu-bordeaux.fr).

Key Words: congestive heart failure • prognosis • ventricular function • strain


Cardiac insufficiency is a major public health problem. Thanks to progress made in the field of heart failure pharmacotherapy during the last 3 decades, mortality rates have decreased by 30% (1). However, despite perfectly defined recommendations concerning heart failure drug treatment (2,3), follow-up remains insufficient (4) for reasons relating both to poor drug tolerability or incompatibility and suboptimal prescription practices (5). It has been shown that, for heart failure patients, better adherence to recommendations allows the reduction of cardiovascular events (6). To help the prescriber, clinical risk stratification can be improved using biological parameters, such as brain natriuretic peptide (7), functional tests (oxygen consumption per minute) (8), or cardiac imaging, that will influence heart failure patient management by identifying the most severely ill patients.


    Echocardiographic risk evaluation and deformation analysis
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 Echocardiographic risk...
 Longitudinal versus...
 Multiparametric approach
 Conclusions
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Because of its accessibility, reliability, and low price, echocardiography has been the subject of numerous publications on heart failure patient risk evaluation. Established criteria may associate left (9,10) and right (11,12) ventricular function parameters, mitral insufficiency quantification (13), and an asynchrony assessment (14).

In this issue of the Journal, the study by Cho et al. (15) identified an additional prognostic factor in heart failure patients using a recent technique that enabled the echocardiographic analysis of myocardial deformations. This new approach to myocardial contraction measurement allows ventricular function analysis by distinguishing radial, longitudinal, and circumferential contraction components on the basis of the orientation of myocyte fibers. Study results show that this technique also boasts high feasibility and reliability rates as compared with common echocardiographic measurements (longitudinal and circumferential strain feasibilities: 88% to 92%, variabilities: 3.6% to 6.3%). It should be noted that these reproducibility data are comparable to those reported in literature, regardless of the cardiopathy investigated (16–18). In the analysis, the authors demonstrated that the circumferential deformation parameter was a stronger predictor of cardiovascular events than both conventional systolic or diastolic parameters and the longitudinal deformation parameter.


    Longitudinal versus circumferential strain
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 Echocardiographic risk...
 Longitudinal versus...
 Multiparametric approach
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The superiority of circumferential deformation merits a more profound explanation so as not to underestimate the pertinence of the longitudinal component. As Cho et al. (15) reported, the longitudinal deformation component mainly refers to the exploration of the contraction caused by subendocardial and subepicardial fibers, which have an oblique-longitudinal orientation and curl up around the heart's longitudinal axis in a double helix. Contrarily, circumferential deformation originates in the mid-wall layers, where transversally oriented fibers are situated. These fibers are responsible for myocardial thickening, also called radial contraction or deformation. Studies based on tissue Doppler, and more recently deformation analysis, show that regardless of the physiopathological model, the initial deformation of ventricular contraction affects the longitudinal axis, whereas radial function is preserved in the early phase (17–20). The typical example of this is aortic stenosis, the early and isolated longitudinal function alteration of which was described 30 years ago by Dumesnil et al. (21) and confirmed recently through deformation analysis (22). This early unidirectional contraction anomaly likely has a multifactorial origin, including a greater longitudinal fiber susceptibility to myocardial ischemia, elevated parietal constraints, and ventricular remodeling. In the second phase of ventricular dysfunction progression, the initially compensating mid-wall fibers alter their contraction, leading first to the deterioration of circumferential and then radial deformations (23). It is not surprising that these 2 deformation components are a stronger prognostic factor than the longitudinal deformation, which is a less severe but earlier visible marker of myocardial contraction alteration.


    Multiparametric approach
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 Echocardiographic risk...
 Longitudinal versus...
 Multiparametric approach
 Conclusions
 References
 
The question of multiplying parameters and their clinical application is legitimate. Taking into account the report by Cho et al. (15), which favors a specific criterion over others, logic would suggest focusing on this criterion. However, each echocardiographic criterion has its limitations, including feasibility, diagnostic precision, and reproducibility. Deformation analysis based on speckle tracking is not an exception to this rule, and the quality of information obtained is highly dependent on the echocardiographic window. In addition to the imperfect reliability rate, longitudinal deformation obtained during apical data acquisition is more reproducible than radial or circumferential deformation obtained during parasternal data acquisition. It should be noted that the combination of complementary clinical, biological, and echocardiographic criteria allows the circumvention of analysis limitations, and this convergence enables the best possible risk evaluation in heart failure patients.

The principal limitation of the work of Cho et al. (15), which proposes a multicriteria echocardiographic analysis, is that it lacks comparisons with right ventricular function parameters. Considering the strong clinical impact of these components on the prognosis of heart failure patients (24), it is conceivable that the statistical weight of deformation parameters would have been diminished had Cho et al. (15) taken them into account. The difficulty in obtaining right ventricular ejection fraction limits the use of this echocardiographic parameter, though this could be surmounted by applying the tissue Doppler imaging criterion to the tricuspid annulus (12).

Table 1 summarizes the principal echocardiographic criteria, which have been shown to be prognosticators for heart failure patients, and their threshold values.


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Table 1 Principle Echocardiographic Prognosticators for Heart Failure Patients
 

    Conclusions
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 Echocardiographic risk...
 Longitudinal versus...
 Multiparametric approach
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Echocardiography has a position of choice in the follow-up of heart failure patients, especially for the stratification of patient risk. Regardless of any single criterion's weight, the clinical approach needs to be multiparametric, as the sum of different positive parameters permits an improved patient risk diagnosis (25,26). This approach allows high-risk patients to be identified noninvasively and may provide guidance for special patient treatment with intensified monitoring and optimized drug therapy.


    Footnotes
 
* Editorials published in the Journal of the American College of Cardiology reflect the views of the authors and do not necessarily represent the views of JACC or the American College of Cardiology. Back


    References
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 Echocardiographic risk...
 Longitudinal versus...
 Multiparametric approach
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1. Levy D, Kenchaiah S, Larson MG, et al. Long-term trends in the incidence of and survival with heart failure N Engl J Med 2002;347:1397-1402.[CrossRef][Web of Science][Medline]

2. Dickstein K, Cohen-Solal A, Filippatos G, et al. ESC guidelines for the diagnosis and treatment of acute and chronic heart failure 2008: the Task Force for the Diagnosis and Treatment of Acute and Chronic Heart Failure 2008 of the European Society of Cardiology. Developed in collaboration with the Heart Failure Association of the ESC (HFA) and endorsed by the European Society of Intensive Care Medicine (ESICM). Eur Heart J 2008;29:2388-2442.[Free Full Text]

3. Howard PA, Cheng JW, Crouch MA, et al. Drug therapy recommendations from the 2005 ACC/AHA guidelines for treatment of chronic heart failure Ann Pharmacother 2006;40:1607-1617.[Abstract/Free Full Text]

4. Komajda M, Follath F, Swedberg K, et al. The EuroHeart Failure Survey programme: a survey on the quality of care among patients with heart failure in Europe. Part 2: treatment. Eur Heart J 2003;24:464-474.[Abstract/Free Full Text]

5. Murray MD, Young J, Hoke S, et al. Pharmacist intervention to improve medication adherence in heart failure: a randomized trial Ann Intern Med 2007;146:714-725.[Abstract/Free Full Text]

6. Komajda M, Lapuerta P, Hermans N, et al. Adherence to guidelines is a predictor of outcome in chronic heart failure: the MAHLER survey Eur Heart J 2005;26:1653-1659.[Abstract/Free Full Text]

7. Jourdain P, Jondeau G, Funck F, et al. Plasma brain natriuretic peptide-guided therapy to improve outcome in heart failure: the STARS-BNP multicenter study J Am Coll Cardiol 2007;49:1733-1739.[Abstract/Free Full Text]

8. Myers J, Gullestad L, Vagelos R, et al. Cardiopulmonary exercise testing and prognosis in severe heart failure: 14 mL/kg/min revisited Am Heart J 2000;139:78-84.[Web of Science][Medline]

9. Solomon SD, Anavekar N, Skali H, et al. Influence of ejection fraction on cardiovascular outcomes in a broad spectrum of heart failure patients Circulation 2005;112:3738-3744.[Abstract/Free Full Text]

10. Kolias TJ, Aaronson KD, Armstrong WF. Doppler-derived dP/dt and -dP/dt predict survival in congestive heart failure J Am Coll Cardiol 2000;36:1594-1599.[Abstract/Free Full Text]

11. Gavazzi A, Berzuini C, Campana C, et al. Value of right ventricular ejection fraction in predicting short-term prognosis of patients with severe chronic heart failure J Heart Lung Transplant 1997;16:774-785.[Web of Science][Medline]

12. Meluzin J, Spinarova L, Hude P, et al. Combined right ventricular systolic and diastolic dysfunction represents a strong determinant of poor prognosis in patients with symptomatic heart failure Int J Cardiol 2005;105:164-173.[CrossRef][Web of Science][Medline]

13. Lancellotti P, Troisfontaines P, Toussaint AC, Pierard LA. Prognostic importance of exercise-induced changes in mitral regurgitation in patients with chronic ischemic left ventricular dysfunction Circulation 2003;108:1713-1717.[Abstract/Free Full Text]

14. Bader H, Garrigue S, Lafitte S, et al. Intra-left ventricular electromechanical asynchrony: a new independent predictor of severe cardiac events in heart failure patients J Am Coll Cardiol 2004;43:248-256.[Abstract/Free Full Text]

15. Cho G-Y, Marwick TH, Kim H-S, Kim M-K, Hong K-S, Oh D-J. Global 2-dimensional strain as a new prognosticator in patients with heart failure J Am Coll Cardiol 2009;54:618-624.[Abstract/Free Full Text]

16. Belghitia H, Brette S, Lafitte S, et al. Automated function imaging: a new operator-independent strain method for assessing left ventricular function Arch Cardiovasc Dis 2008;101:163-169.[Web of Science][Medline]

17. Richand V, Lafitte S, Reant P, et al. An ultrasound speckle tracking (two-dimensional strain) analysis of myocardial deformation in professional soccer players compared with healthy subjects and hypertrophic cardiomyopathy Am J Cardiol 2007;100:128-132.[CrossRef][Web of Science][Medline]

18. Serri K, Reant P, Lafitte M, et al. Global and regional myocardial function quantification by two-dimensional strain: application in hypertrophic cardiomyopathy J Am Coll Cardiol 2006;47:1175-1181.[Abstract/Free Full Text]

19. Wang J, Khoury DS, Yue Y, Torre-Amione G, Nagueh SF. Preserved left ventricular twist and circumferential deformation, but depressed longitudinal and radial deformation in patients with diastolic heart failure Eur Heart J 2008;29:1283-1289.[Abstract/Free Full Text]

20. Yu CM, Chau E, Sanderson JE, et al. Tissue Doppler echocardiographic evidence of reverse remodeling and improved synchronicity by simultaneously delaying regional contraction after biventricular pacing therapy in heart failure Circulation 2002;105:438-445.[Abstract/Free Full Text]

21. Dumesnil JG, Shoucri RM, Laurenceau JL, Turcot J. A mathematical model of the dynamic geometry of the intact left ventricle and its application to clinical data Circulation 1979;59:1024-1034.[Abstract/Free Full Text]

22. Lafitte S, Perlant M, Reant P, et al. Impact of impaired myocardial deformations on exercise tolerance and prognosis in patients with asymptomatic aortic stenosis Eur J Echocardiogr 2009;10:414-419.[Abstract/Free Full Text]

23. Sanderson JE, Fraser AG. Systolic dysfunction in heart failure with a normal ejection fraction: echo-Doppler measurements Prog Cardiovasc Dis 2006;49:196-206.[CrossRef][Web of Science][Medline]

24. Grzybowski J, Bilinska ZT, Ruzyllo W, et al. Determinants of prognosis in nonischemic dilated cardiomyopathy J Card Fail 1996;2:77-85.[CrossRef][Medline]

25. Hillis GS, Moller JE, Pellikka PA, et al. Noninvasive estimation of left ventricular filling pressure by E/e' is a powerful predictor of survival after acute myocardial infarction J Am Coll Cardiol 2004;43:360-367.[Abstract/Free Full Text]

26. Liang HY, Cauduro SA, Pellikka PA, et al. Comparison of usefulness of echocardiographic Doppler variables to left ventricular end-diastolic pressure in predicting future heart failure events Am J Cardiol 2006;97:866-871.[CrossRef][Web of Science][Medline]

27. Nikitin NP, Loh PH, Silva R, et al. Prognostic value of systolic mitral annular velocity measured with Doppler tissue imaging in patients with chronic heart failure caused by left ventricular systolic dysfunction Heart 2006;92:775-779.[Abstract/Free Full Text]

28. Grayburn PA, Appleton CP, DeMaria AN, et al. Echocardiographic predictors of morbidity and mortality in patients with advanced heart failure: the Beta-blocker Evaluation of Survival Trial (BEST) J Am Coll Cardiol 2005;45:1064-1071.[Abstract/Free Full Text]


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