Filipe Ferrari1,2, Willian Roberto Menegazzo1,2. 1. Graduate Program in Cardiology and Cardiovascular Sciences, Hospital de Clínicas de Porto Alegre (HCPA), Universidade Federal do Rio Grande do Sul, Porto Alegre, RS - Brazil. 2. Exercise Cardiology Research Group (CardioEx), Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS - Brazil.
Heart failure (HF) is a complex syndrome that has a poor prognosis and a stigma of high
mortality.[1] The current
prevalence estimated in the United States is six million cases, with a predicted
incidence of another two million patients until 2030.[2] Brazil, specifically, had more than 26 thousand deaths by HF in
2012 and approximately 230 thousand hospitalizations attributed to this
disease.[3]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.[4] In this regard, a peak oxygen
consumption (maxVO2), on average, approximately 50% lower is not uncommon in
HFpatients when compared to healthy individuals paired by variables such as age and
gender.[5] The cardiopulmonary
exercise testing (CPET) is a method widely used and trusted in this scenario, with a
consistent role in risk stratification of HFpatients 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.[6] 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).[7,8]HFpatients are usually classified according to their left ventricular ejection fraction
(LVEF); however, the prognostic value of LVEF can be controversial.[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.[10]Recently, Park et al.[11] 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).[11] Corroborating these findings, Sengelov et al.[12] 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 HFpatients - higher than even LVEF.In this issue of the Journal of Brazilian Society of Cardiology, Maia et al.[13] conducted a cross-sectional study to
verify the correlation between GLS findings and CPET parameters in a sample comprising
26 HFpatients 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 HFpatients compared to LVEF, providing important knowledge
and possible future applications in this scenario.Nevertheless, the study by Maia et al.[13] 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.
Authors: Michelle W Bloom; Barry Greenberg; Tiny Jaarsma; James L Januzzi; Carolyn S P Lam; Aldo P Maggioni; Jean-Noël Trochu; Javed Butler Journal: Nat Rev Dis Primers Date: 2017-08-24 Impact factor: 52.329
Authors: Joao J Leite; Alfredo J Mansur; Humberto F G de Freitas; Paulo R Chizola; Edimar A Bocchi; Mario Terra-Filho; J Alberto Neder; Geraldo Lorenzi-Filho Journal: J Am Coll Cardiol Date: 2003-06-18 Impact factor: 24.094