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Prognostic significance of myocardial energy expenditure and myocardial efficiency in patients with heart failure with reduced ejection fraction

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Abstract

In heart failure with reduced ejection fraction (HFrEF) patients, myocardial blood flow (MBF), myocardial energy expenditure (MEE), myocardial efficiency has been poorly evaluated because of the necessity of invasive procedures in the determination of these parameters. Transthoracic echocardiography (TTE) can provide reliable data for MEE, MBF (via coronary sinus (CS) flows). Also, myocardial efficiency can be evaluated by the MEE to MBF ratio. We aim to assess MBF, MEE and energy efficiency and the prognostic value of these parameters in HFrEF. In this prospective study, a total of 80 patients with HFrEF due to either ischemic or non-ischemic etiology and 20 healthy control subjects were included. Median follow-up duration was 901 (27–1004) days. MBF was calculated via coronary sinus blood flow. MEE was measured from circumferential end-systolic stress, stroke volume and left ventricular ejection time. MEE to MBF ratio was determined as MEf. Primary composite end-point (CEP) was cardiovascular mortality, heart transplantation or mechanical circulatory support. MEE and MEf were lower and MBF per minute was higher in HF group compared to control subjects whereas MBF per 100 g left ventricular mass was not different. MEE and MEf have significantly negative correlation with troponin I, BNP, uric acid and positive correlation with epicardial fat thickness. In Cox regression analysis, per one calorie decrease of MEE was associated 4.3 times increased risk [HR 4.396 (95% CI 1.230–15.716)] and per one percent decrease of MEf was associated 3.3 times increased risk of CEP [HR 3.343 (95% CI 1.025–10.905)]. Our study demonstrated that while MEE and MEf diminished in HFrEF, MBF preserved with the symptomatic progression of HF. MEE and MEf were found to be associated with important prognostic markers and independent predictors of CEP in HFrEF. Evaluation of MEE, MBF and MEf with echocardiography may provide an additional data regarding prognostic assessment of HFrEF population.

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References

  1. McMurray JJ V, Adamopoulos S, Anker SD, Auricchio A, Böhm M, Dickstein K et al (2012) 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. Eur J Heart Fail 14(8):803–869

    Article  CAS  PubMed  Google Scholar 

  2. Palmieri V, Roman MJ, Bella JN, Liu JE, Best LG, Lee ET et al (2008) Prognostic implications of relations of left ventricular systolic dysfunction with body composition and myocardial energy expenditure: the Strong Heart Study. J Am Soc Echocardiogr Off Publ Am Soc Echocardiogr 21(1):66–71

    Article  Google Scholar 

  3. Neglia D, Michelassi C, Trivieri MG, Sambuceti G, Giorgetti A, Pratali L et al (2002) Prognostic role of myocardial blood flow impairment in idiopathic left ventricular dysfunction. Circulation 105(2):186–193

    Article  PubMed  Google Scholar 

  4. Bing RJ, Hammond MM (1949) The measurement of coronary blood flow, oxygen consumption, and efficiency of the left ventricle in man. Am Heart J 38(1):1–24

    Article  CAS  PubMed  Google Scholar 

  5. Braunwald E (1999) 50th anniversary historical article. Myocardial oxygen consumption: the quest for its determinants and some clinical fallout. J Am Coll Cardiol 34(5):1365–1368

    Article  CAS  PubMed  Google Scholar 

  6. Ganz W, Tamura K, Marcus HS, Donoso R, Yoshida S, Swan HJ (1971) Measurement of coronary sinus blood flow by continuous thermodilution in man. Circulation 44(2):181–195

    Article  CAS  PubMed  Google Scholar 

  7. Zheng X, Ji P, Mao H, Hu J (2012) Reduced antegrade flow in the coronary sinus is a predictor of coronary artery stenosis in hypertensive patients. J Ultrasound Med 31(1):7–14

    Article  CAS  PubMed  Google Scholar 

  8. Hunt SA, Abraham WT, Chin MH, Feldman AM, Francis GS, Ganiats TG et al (2009) 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: develope. Circulation 119(14):e391–e479

    Article  PubMed  Google Scholar 

  9. Schiller NB, Shah PM, Crawford M, DeMaria A, Devereux R, Feigenbaum H et al (1989) Recommendations for quantitation of the left ventricle by two-dimensional echocardiography. American Society of Echocardiography Committee on Standards, Subcommittee on Quantitation of Two-Dimensional Echocardiograms. J Am Soc Echocardiogr 2(5):358–367

  10. Gaasch WH, Battle WE, Oboler AA, Banas JS, Levine HJ (1972) Left ventricular stress and compliance in man. With special reference to normalized ventricular function curves. Circulation 45(4):746–762

    Article  CAS  PubMed  Google Scholar 

  11. Quiñones MA, Otto CM, Stoddard M, Waggoner A, Zoghbi WA (2002) Recommendations for quantification of Doppler echocardiography: a report from the Doppler quantification task force of the nomenclature and standards committee of the American Society of Echocardiography. J Am Soc Echocardiogr 15(2):167–184

    Article  PubMed  Google Scholar 

  12. Palmieri V, Bella JN, Arnett DK, Oberman A, Kitzman DW, Hopkins PN et al (2003) Associations of aortic and mitral regurgitation with body composition and myocardial energy expenditure in adults with hypertension: the Hypertension Genetic Epidemiology Network study. Am Heart J 145(6):1071–1077

    Article  PubMed  Google Scholar 

  13. Knaapen P, Germans T, Knuuti J, Paulus WJ, Dijkmans PA, Allaart CP et al (2007) Myocardial energetics and efficiency: current status of the noninvasive approach. Circulation 115(7):918–927

    Article  PubMed  Google Scholar 

  14. Iacobellis G, Willens HJ (2009) Echocardiographic epicardial fat: a review of research and clinical applications. J Am Soc Echocardiogr 22(12):1311–1319 (quiz 1417–1418)

    Article  PubMed  Google Scholar 

  15. Starling EH, Visscher MB (1927) The regulation of the energy output of the heart. J Physiol 62(3):243–261

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Sarnoff SJ, Braunwald E, Welch GH, Case RB, Stainsby WN, Macruz R (1958) Hemodynamic determinants of oxygen consumption of the heart with special reference to the tension-time index. Am J Physiol 192(1):148–156

    CAS  PubMed  Google Scholar 

  17. Cetin MS, Ozcan Cetin EH, Aras D, Topaloglu S, Aydogdu S (2015) Coronary slow flow phenomenon: not only low in flow rate but also in myocardial energy expenditure. Nutr Metab Cardiovasc Dis 25(10):931–936

    Article  CAS  PubMed  Google Scholar 

  18. Deidda M, Piras C, Dessalvi CC, Locci E, Barberini L, Torri F et al (2015) Metabolomic approach to profile functional and metabolic changes in heart failure. J Transl Med 13:297

    Article  PubMed  PubMed Central  Google Scholar 

  19. Duncker DJ, Bache RJ (2008) Regulation of coronary blood flow during exercise. Physiol Rev 88(3):1009–1086

    Article  CAS  PubMed  Google Scholar 

  20. Grubbström J, Berglund B, Kaijser L (1991) Myocardial blood flow and lactate metabolism at rest and during exercise with reduced arterial oxygen content. Acta Physiol Scand 142(4):467–474

    Article  PubMed  Google Scholar 

  21. White M, Rouleau JL, Ruddy TD, De Marco T, Moher D, Chatterjee K (1991) Decreased coronary sinus oxygen content: a predictor of adverse prognosis in patients with severe congestive heart failure. J Am Coll Cardiol 18(7):1631–1637

    Article  CAS  PubMed  Google Scholar 

  22. Katz AM (1990) Cardiomyopathy of overload. A major determinant of prognosis in congestive heart failure. N Engl J Med 322(2):100–110

    Article  CAS  PubMed  Google Scholar 

  23. Katz AM (1989) The myocardium in congestive heart failure. Am J Cardiol 63(2):12A–16A

    Article  CAS  PubMed  Google Scholar 

  24. Ingwall JS, Weiss RG (2004) Is the failing heart energy starved? On using chemical energy to support cardiac function. Circ Res 95(2):135–145

    Article  CAS  PubMed  Google Scholar 

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Correspondence to Mehmet S. Cetin.

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Appendices

Appendıx 1

See Table 6.

Table 6 Comparison of baseline characteristics and laboratory parameters among patient groups according to the NYHA functional classes, means ± SD or N (%)

Appendıx 2

See Table 7.

Table 7 Comparison of echocardiographic parameters among patient groups according to the NYHA functional classes, means ± SD

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Cetin, M.S., Ozcan Cetin, E.H., Canpolat, U. et al. Prognostic significance of myocardial energy expenditure and myocardial efficiency in patients with heart failure with reduced ejection fraction. Int J Cardiovasc Imaging 34, 211–222 (2018). https://doi.org/10.1007/s10554-017-1226-8

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  • DOI: https://doi.org/10.1007/s10554-017-1226-8

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