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Global Longitudinal Strain or Measurement of Ejection Fraction: Which Method is Better in Stratifying Patients with Heart Failure?

Keywords
Heart Failure; Systolic; Myocardial Contraction; Myocardial Stunning; Stroke Volume: Strain; Echocardiography/methods

Heart failure (HF) is a complex syndrome that has a poor prognosis and a stigma of high mortality.11 Bloom MW, Greenberg B, Jaarsma T, Januzzi JL, Lam CSP, Maggioni AP, et al. Heart failure with reduced ejection fraction. Nat Rev Dis Primers. 2017 Aug 24;3:17058. The current prevalence estimated in the United States is six million cases, with a predicted incidence of another two million patients until 2030.22 Savarese G, Lund LH. Global Public Health Burden of Heart Failure. Card Fail Rev. 2017;3(1):7-11. Brazil, specifically, had more than 26 thousand deaths by HF in 2012 and approximately 230 thousand hospitalizations attributed to this disease.33 Albuquerque DC, Neto JD, Bacal F, Rohde LE, Bernardez-Pereira S, Berwanger O, et al. I brazilian registry of heart failure - clinical aspects, care quality and hospitalization outcomes. Arq Bras Cardiol. 2015;104(6):433-42.

The main HF symptoms include progressive dyspnea, fatigue, exercise intolerance, and signs of volume overload, reducing the functional capacity and quality of life of patients and greatly increasing the risk of morbidity and mortality.44 Choi HM, Park MS, Youn JC. Update on heart failure management and future directions. Korean J Intern Med. 2019;34(1):11-43. In this regard, a peak oxygen consumption (maxVO2), on average, approximately 50% lower is not uncommon in HF patients when compared to healthy individuals paired by variables such as age and gender.55 Arena R, Myers J, Guazzi M. The clinical importance of cardiopulmonary exercise testing and aerobic training in patients with heart failure. Rev Bras Fisioter. 2008;12(2):75-87. The cardiopulmonary exercise testing (CPET) is a method widely used and trusted in this scenario, with a consistent role in risk stratification of HF patients and various variables obtained with consolidated prognostic value. MaxVO2 is an important marker of one-year mortality, surpassing ejection fraction and pulmonary capillary wedge pressure, used as Class I to define candidates for heart transplantation.66 Mancini DM, Eisen H, Kussmaul W, Mull R, Edmonds LH Jr, Wilson JR. Value of peak exercise oxygen consumption for optimal timing of cardiac transplantation in ambulatory patients with heart failure. Circulation. 1991;83(3):778-86. Other prognostic markers obtained from CPET that proved to be important in this population include the measurement of ventilatory efficiency through the VE/VCO2 slope, regular ventilation, oxygen uptake efficiency slope (OUES), heart rate recovery (HRR) in the first minute, chronotropic competence, and partial pressure of carbon dioxide at rest (PetCO2).77 Myers J, Arena R, Dewey F, Bensimhon D, Abella J, Hsu L, et al. A cardiopulmonary exercise testing score for predicting outcomes in patients with heart failure. Am Heart J. 2008;156(6):1177-83.,88 Leite JJ, Mansur AJ, De Freitas HF, Chizola PR, Bocchi EA, Terra-Filho M, et al. Periodic breathing during incremental exercise predicts mortality in patients with chronic heart failure evaluated for cardiac transplantation. J Am Coll Cardiol. 2003;41(12):2175-81.

HF patients are usually classified according to their left ventricular ejection fraction (LVEF); however, the prognostic value of LVEF can be controversial.99 Owan TE, Hodge DO, Herges RM, Jacobsen SJ, Roger VL, Redfield MM. Trends in prevalence and outcome of heart failure with preserved ejection fraction. N Engl J Med. 2006;355(3):251-9. Following this reasoning, although the LVEF measurement is a validated method that has been widely used for decades, the assessment of myocardial deformation with the Global Longitudinal Strain (GLS) has shown greater effectiveness in analyzing the overall breakdown of the left ventricle when compared to the LVEF measurement. GLS can provide an additional value for prognostic HF stratification, regardless of the LVEF values, and serve as an auxiliary instrument for therapeutic decision making in specific clinical situations in this population, such as: cardiac defibrillator and resynchronization device implantation, indication of ventricular assist devices, and follow-up of patients with cardiotoxicity due to chemotherapeutic agents.1010 Marwick TH, Shah SJ, Thomas JD. Myocardial strain in the assessment of patients with heart failure: a review. JAMA Cardiol. 2019 Feb 27. [Epub ahead of print].

Recently, Park et al.1111 Park JJ, Park JB, Park JH, Cho GY. Global longitudinal strain to predict mortality in patients with acute heart failure. J Am Coll Cardiol. 2018;71(18):1947-57. assessed the prognostic value of GLS in more than 4 thousand individuals with acute HF, divided into preserved (≥50%), mid-range (40-49%), and reduced LVEF (<40%). The primary outcome analyzed was all-cause mortality, evaluated over five years. Patients with reduced and preserved LVEF presented lower and higher GLS, respectively. GLS, but not LVEF, was an independent predictor of mortality in the whole group of patients. The three groups presented no significant difference in mortality; however, individuals with reduced LVEF had slightly higher mortality compared to those with mid-range or preserved LVEF (41%, 38%, and 39%, respectively).1111 Park JJ, Park JB, Park JH, Cho GY. Global longitudinal strain to predict mortality in patients with acute heart failure. J Am Coll Cardiol. 2018;71(18):1947-57. Corroborating these findings, Sengelov et al.1212 Sengeløv M, Jørgensen PG, Jensen JS, Bruun NE, Olsen FJ, Fritz-Hansen T, et al. Global longitudinal strain is a superior predictor of all-cause mortality in heart failure with reduced ejection fraction. JACC Cardiovasc Imaging. 2015;8(12):1351-59. showed in an echocardiographic analysis of more than one thousand subjects that GLS was the main predictor of mortality in HF and reduced LVEF patients. Even after adjustment for several variables, such as age, gender, cholesterol, blood pressure, heart rate, ischemic cardiomyopathy, and conventional echocardiographic parameters, no other echocardiographic parameter remained an independent predictor. Therefore, despite the need for further randomized trials to confirm the applicability of the method in clinical practice, the evidence points to the superiority of GLS in predicting the mortality of HF patients - higher than even LVEF.

In this issue of the Journal of Brazilian Society of Cardiology, Maia et al.1313 Maia RJC, Brandão SCS, Brandão DC, Leite J, Parente GB, Pinheiro F, et al. Global Longitudinal Strain Predicts Poor Functional Capacity in Patients with Systolic Heart Failure. Arq Bras Cardiol. 2019; 113(2):188-194. conducted a cross-sectional study to verify the correlation between GLS findings and CPET parameters in a sample comprising 26 HF patients of both genders, sedentary, with New York Heart Association (NYHA) functional class II and III, reduced LVEF, and mean age of 47 years. The patients showed a mean strain of -7.5 ± 3.92, maxVO2 of 19.09 ± 9.52 mL.kg.min, VE/VCO2 slope of 39.43 ± 9.91, HRR of 19.65 ± 17.42, and T1/2VO2 (s) of 168.61 ± 43.90. They found a statistically significant correlation between GLS and all CPET variables analyzed: HRR, maxVO2, VE/VCO2 slope, and T1/2VO2 (s).

Regarding HRR in the first minute post-exercise, patients with slower heart rate reduction showed a strong correlation with lower GLS values. When compared to data collected from CPET, LVEF presented a significant correlation only with maxVO2 (direct) and T1/2VO2 (s) (inverse). On the other hand, GLS was able to predict all variables analyzed by CPET. In short, the study aimed to show the correlation of functional capacity and other CPET variables with GLS, both with established prognostic roles, and that GLS might be more accurate when classifying the severity of HF patients compared to LVEF, providing important knowledge and possible future applications in this scenario.

Nevertheless, the study by Maia et al.1313 Maia RJC, Brandão SCS, Brandão DC, Leite J, Parente GB, Pinheiro F, et al. Global Longitudinal Strain Predicts Poor Functional Capacity in Patients with Systolic Heart Failure. Arq Bras Cardiol. 2019; 113(2):188-194. has important issues that should be addressed. The low sample size is a significant limitation of the study, making it impossible to extrapolate the data and use them routinely in clinical practice. Also, the study was not designed and did not have the power to demonstrate the prognostic impact of the findings. On the other hand, the data corroborate previous findings of the literature, indicating that the smaller the GLS value found, the poorer the functional capacity of the individual tends to be; these data are relevant, as they predict a worse prognosis. These outcomes help open new doors and perspectives for further studies in this field, which could confirm important messages conveyed in the literature and strengthened by Brazilian authors.

  • Short Editorial related to the article: Global Longitudinal Strain Predicts Poor Functional Capacity in Patients with Systolic Heart Failure

References

  • 1
    Bloom MW, Greenberg B, Jaarsma T, Januzzi JL, Lam CSP, Maggioni AP, et al. Heart failure with reduced ejection fraction. Nat Rev Dis Primers. 2017 Aug 24;3:17058.
  • 2
    Savarese G, Lund LH. Global Public Health Burden of Heart Failure. Card Fail Rev. 2017;3(1):7-11.
  • 3
    Albuquerque DC, Neto JD, Bacal F, Rohde LE, Bernardez-Pereira S, Berwanger O, et al. I brazilian registry of heart failure - clinical aspects, care quality and hospitalization outcomes. Arq Bras Cardiol. 2015;104(6):433-42.
  • 4
    Choi HM, Park MS, Youn JC. Update on heart failure management and future directions. Korean J Intern Med. 2019;34(1):11-43.
  • 5
    Arena R, Myers J, Guazzi M. The clinical importance of cardiopulmonary exercise testing and aerobic training in patients with heart failure. Rev Bras Fisioter. 2008;12(2):75-87.
  • 6
    Mancini DM, Eisen H, Kussmaul W, Mull R, Edmonds LH Jr, Wilson JR. Value of peak exercise oxygen consumption for optimal timing of cardiac transplantation in ambulatory patients with heart failure. Circulation. 1991;83(3):778-86.
  • 7
    Myers J, Arena R, Dewey F, Bensimhon D, Abella J, Hsu L, et al. A cardiopulmonary exercise testing score for predicting outcomes in patients with heart failure. Am Heart J. 2008;156(6):1177-83.
  • 8
    Leite JJ, Mansur AJ, De Freitas HF, Chizola PR, Bocchi EA, Terra-Filho M, et al. Periodic breathing during incremental exercise predicts mortality in patients with chronic heart failure evaluated for cardiac transplantation. J Am Coll Cardiol. 2003;41(12):2175-81.
  • 9
    Owan TE, Hodge DO, Herges RM, Jacobsen SJ, Roger VL, Redfield MM. Trends in prevalence and outcome of heart failure with preserved ejection fraction. N Engl J Med. 2006;355(3):251-9.
  • 10
    Marwick TH, Shah SJ, Thomas JD. Myocardial strain in the assessment of patients with heart failure: a review. JAMA Cardiol. 2019 Feb 27. [Epub ahead of print].
  • 11
    Park JJ, Park JB, Park JH, Cho GY. Global longitudinal strain to predict mortality in patients with acute heart failure. J Am Coll Cardiol. 2018;71(18):1947-57.
  • 12
    Sengeløv M, Jørgensen PG, Jensen JS, Bruun NE, Olsen FJ, Fritz-Hansen T, et al. Global longitudinal strain is a superior predictor of all-cause mortality in heart failure with reduced ejection fraction. JACC Cardiovasc Imaging. 2015;8(12):1351-59.
  • 13
    Maia RJC, Brandão SCS, Brandão DC, Leite J, Parente GB, Pinheiro F, et al. Global Longitudinal Strain Predicts Poor Functional Capacity in Patients with Systolic Heart Failure. Arq Bras Cardiol. 2019; 113(2):188-194.

Publication Dates

  • Publication in this collection
    02 Sept 2019
  • Date of issue
    Aug 2019
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