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

Ferrari, Filipe; Menegazzo, Willian Roberto

doi:10.5935/abc.20190151

Cited by 3 publications

(4 citation statements)

References 13 publications

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“…Although left ventricular ejection fraction (LVEF) is a commonly used parameter for evaluating left ventricular systolic function, it has low sensitivity for assessing local myocardial damage [23], does not accurately reflect the left ventricular myocardial function [24,25], and cannot detect early myocardial dysfunction [26]. Myocardial strain has higher sensitivity and accuracy for evaluating cardiac function [27] and can assess the degree of myocardial deformation during the cardiac cycle [28], detect early changes in the left ventricular myocardium, and predict LVEF changes [29].…”

Section: Introductionmentioning

confidence: 99%

Association between the triglyceride–glucose index and left ventricular global longitudinal strain in patients with coronary heart disease in Jilin Province, China: a cross-sectional study

Na,

Cui,

et al. 2023

Cardiovasc Diabetol

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Background This study aimed to investigate the association between the triglyceride–glucose (TyG) index and left ventricular global longitudinal strain (GLS) in patients with coronary heart disease and to examine the role of left ventricular GLS in detecting early changes in cardiac function in patients with coronary heart disease in the subclinical stage. Methods A cross-sectional study involving 178 participants with symptomatic coronary artery disease excluding myocardial infarction or left ventricular dysfunction was conducted in Jilin Province, China. Basic clinical, biochemical, and echocardiographic data were obtained from all participants. Myocardial strain parameters were compared between patients with higher TyG index and those with lower TyG index, and the association between the gradually elevated TyG index and on subclinical cardiac function in patients with coronary heart disease was evaluated. Results The GLS of left ventricle was lower in the higher TyG index group than in the lower TyG index group. As the TyG index increases, the GLS progressively decreases. The results remained stable after adjusting for confounding factors. Conclusions A higher TyG index maybe independently associated with subclinical left ventricular dysfunction in patients with coronary heart disease.

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Section: Introductionmentioning

confidence: 99%

Association between the triglyceride–glucose index and left ventricular global longitudinal strain in patients with coronary heart disease in Jilin Province, China: a cross-sectional study

Na,

Cui,

et al. 2023

Cardiovasc Diabetol

View full text Add to dashboard Cite

show abstract

“…Although left ventricular ejection fraction (LVEF) is commonly used to evaluate left ventricular systolic function, it has various limitations. It has low sensitivity for local myocardial damage ( 13 ), does not accurately reflect left ventricular myocardium function ( 14 , 15 ), and cannot detect early myocardial dysfunction ( 16 ). Myocardial strain has greater sensitivity and accuracy for cardiac function and can assess the degree of myocardial deformation during the cardiac cycle, detect early left ventricular myocardial changes, and predict LVEF changes ( 17 – 19 ).…”

Section: Introductionmentioning

confidence: 99%

Effect of hypertriglyceridemia on left ventricular global longitudinal strain in patients with coronary heart disease in Jilin Province, China: a cross-sectional study

Lin

Cui

et al. 2023

Front. Cardiovasc. Med.

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AimsUsing speckle tracking technology to investigate the effect of hypertriglyceridemia on the global longitudinal strain(GLS) of the left ventricle in patients with coronary heart disease in the early stage, and to explore the value of myocardial strain in early identification of cardiac dysfunction in patients with coronary heart disease in the pre-heart failure stage.MethodsA cross-sectional study of 138 participants was conducted in Jilin Province, China. Basic clinical, biochemical, and echocardiographic data were obtained for all patients. Myocardial strain parameters were compared between the hypertriglyceridemia and normal triglyceride level groups and the effect of hypertriglyceridemia on early left ventricular global longitudinal strain impairment in coronary heart disease patients was evaluated.ResultsThe overall longitudinal strain of the left ventricle was smaller in the hypertriglyceridemia group than in the normal triglyceride group. After the multivariate Logistic regression model adjusting for the influence of confounding factors, the results remained stable.ConclusionsThe risk of impairment of global longitudinal strain of the left ventricle in patients with coronary heart disease is positively correlated with triglyceride levels, and hypertriglyceridemia maybe an independent risk factor affecting early cardiac dysfunction in the pre-heart failure stage of patients with coronary heart disease.

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“…Diagnosis of DCM, particularly in the early stages of the disease, can often be difficult and rely on advanced echocardiography (speckle tracking analysis), cardiac magnetic resonance imaging, comprehensive tissue characterization analysis, and genetic testing that often are not available or difficult to deliver to patients. Recent studies have reported that left ventricular global longitudinal strain (GLS) [4] and heart rate variability (HRV), as supplementary features to the LVEF, can be used for better prediction of DCM [5].…”

Section: Introductionmentioning

confidence: 99%

“…GLS is a newly emerging topic which has a significant role in predicting cardiovascular outcomes [6]. GLS has shown greater effectiveness in identifying the overall deterioration of the left ventricle when compared to the LVEF measurement alone [4].…”

Section: Introductionmentioning

confidence: 99%

Naive Bayesian-based Nomogram for Identification of Early Asymptomatic Dilated Cardiomyopathy

Miladinovic¹,

Iscra²,

Ajčević³

et al. 2022

Computing in Cardiology Conference (CinC)

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Dilated cardiomyopathy (DCM) is one of the leading causes of heart failure. The most used parameter for measuring heart function and predicting outcomes in DCM patients is the left ventricular ejection fraction (LVEF). However, it has some inherent drawbacks. Recent studies have reported that left ventricular global longitudinal strain (GLS) and heart rate variability (HRV) can be used for the prediction of DCM. Therefore, we aimed to investigate a Naive Bayesian-based nomogram produced on clinical and instrumental features, which can be used to support the diagnosis of early asymptomatic DCM. The study encompassed 49 DCM and 50 healthy subjects (HC).The models were produced by naive Bayes algorithms considering the set of selected HRV features, LVEF, GLS, age, and sex. The results showed that the most informative parameters were: GLS, LVEF, meanRR, SD2 age, and sex, listed in order of importance. The obtained classification accuracy was 80%. A naive Bayesian-based nomogram highlighted that GLS brings more information than LVEF, followed by HRV features, age and sex. In conclusion, this study demonstrates that a Naive Bayesian-based nomogram is a powerful tool for the prediction of early asymptomatic DCM and that allows detailed clinical interpretation of the produced model.

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

Cited by 3 publications

References 13 publications

Association between the triglyceride–glucose index and left ventricular global longitudinal strain in patients with coronary heart disease in Jilin Province, China: a cross-sectional study

Association between the triglyceride–glucose index and left ventricular global longitudinal strain in patients with coronary heart disease in Jilin Province, China: a cross-sectional study

Effect of hypertriglyceridemia on left ventricular global longitudinal strain in patients with coronary heart disease in Jilin Province, China: a cross-sectional study

Naive Bayesian-based Nomogram for Identification of Early Asymptomatic Dilated Cardiomyopathy

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