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Updated: Apr 18, 2026

Transthoracic Speckle Tracking Echocardiography for the Quantitative Assessment of Left Ventricular Myocardial Deformation
Published on: October 20, 2016
The prognostic value of standardized reference values for speckle-tracking global longitudinal strain in hypertrophic
Gregory R Hartlage1, Jonathan H Kim, Patrick T Strickland
1Division of Cardiology, Department of Medicine, Emory University School of Medicine, 1364 Clifton Rd NE Room 4D33, Atlanta, GA, 30322, USA, ghartlagemd@gmail.com.
Insights
Abnormal global longitudinal strain (GLS) in hypertrophic cardiomyopathy (HCM) patients independently predicts adverse outcomes. Standardized GLS assessment offers significant incremental value for risk stratification beyond traditional variables.
Area of Science:
- Cardiology
- Echocardiography
- Cardiovascular Imaging
Background:
- Hypertrophic cardiomyopathy (HCM) requires accurate prognostic assessment.
- Global longitudinal strain (GLS) by speckle-tracking echocardiography shows potential for risk stratification.
- Recent publications provide reference values for GLS.
Purpose of the Study:
- To evaluate the prognostic value of standardized reference values for GLS in HCM patients.
- To determine if abnormal GLS is an independent predictor of adverse outcomes in HCM.
- To assess the incremental benefit of GLS over traditional risk factors.
Main Methods:
- Retrospective analysis of 79 HCM patients who underwent GLS assessment.
- GLS categorized as normal (≥ -16%) or abnormal (< -16%) based on reference values.
- Follow-up for a composite endpoint of heart failure hospitalization, ventricular arrhythmia, or all-cause death.
Main Results:
- 15 patients (19%) experienced the primary outcome during a median 22-month follow-up.
- Abnormal GLS was the sole echocardiographic predictor of adverse outcomes (HR 5.05, p=0.038).
- Abnormal GLS remained an independent predictor when combined with clinical variables (HR 5.31, p=0.030) and provided incremental benefit (NRI 0.75, p<0.0001).
Conclusions:
- Abnormal GLS is an independent predictor of adverse outcomes in HCM.
- Standardized GLS assessment offers significant incremental value for risk stratification in HCM patients.
- GLS analysis enhances prognostic accuracy beyond traditional clinical and echocardiographic data.
Abstract:
Speckle-tracking left ventricular global longitudinal strain (GLS) assessment may provide substantial prognostic information for hypertrophic cardiomyopathy (HCM) patients. Reference values for GLS have been recently published. We aimed to evaluate the prognostic value of standardized reference values for GLS in HCM patients. An analysis of HCM clinic patients who underwent GLS was performed. GLS was defined as normal (more negative or equal to -16%) and abnormal (less negative than -16%) based on recently published reference values. Patients were followed for a composite of events including heart failure hospitalization, sustained ventricular arrhythmia, and all-cause death. The power of GLS to predict outcomes was assessed relative to traditional clinical and echocardiographic variables present in HCM. 79 HCM patients were followed for a median of 22 months (interquartile range 9-30 months) after imaging. During follow-up, 15 patients (19%) met the primary outcome. Abnormal GLS was the only echocardiographic variable independently predictive of the primary outcome [multivariate Hazard ratio 5.05 (95% confidence interval 1.09-23.4, p = 0.038)]. When combined with traditional clinical variables, abnormal GLS remained independently predictive of the primary outcome [multivariate Hazard ratio 5.31 (95 % confidence interval 1.18-24, p = 0.030)]. In a model including the strongest clinical and echocardiographic predictors of the primary outcome, abnormal GLS demonstrated significant incremental benefit for risk stratification [net reclassification improvement 0.75 (95 % confidence interval 0.21-1.23, p < 0.0001)]. Abnormal GLS is an independent predictor of adverse outcomes in HCM patients. Standardized use of GLS may provide significant incremental value over traditional variables for risk stratification.
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