Literature DB >> 28687124

Role of Global Longitudinal Strain in Predicting Outcomes in Hypertrophic Cardiomyopathy.

Hongyun Liu1, Iraklis Pozios2, Bereketeab Haileselassie2, Alexandra Nowbar2, Lars L Sorensen2, Susan Phillip2, Dai-Yin Lu2, Ioannis Ventoulis2, Hongchang Luo1, M Roselle Abraham2, Theodore P Abraham3.   

Abstract

Global longitudinal strain (GLS) is a sensitive indicator of global left ventricular function particularly in those with normal ejection fraction. We examined the potential value of GLS in predicting outcomes in hypertrophic cardiomyopathy (HC). Conventional and strain echocardiography was performed in 400 patients with HC followed for a median 3.1 years (interquartile range 1.2 to 5.6). Peak systolic strain from 3 apical views was averaged to calculate GLS. Patients were divided based on a previously published cutoff value of -16%. Additionally, we identified 4 HC subgroups based on GLS: GLS ≤ -20%, -20% < GLS ≤ -16%, -16% < GLS ≤ -10%, and GLS > -10%. The primary end point was a composite of new-onset sustained ventricular tachycardia/fibrillation, heart failure, cardiac transplantation, and all-cause death. Patients with GLS > -16% had significantly more events (17% vs 7%, p = 0.002). In the 4-group analysis, event rates increased with worsening GLS (5%, 7%, 14%, and 33%, respectively, p = 0.001). Event-free survival was significantly superior in those with GLS ≤ -16% versus GLS > -16% (p = 0.004); similarly, GLS > -10% portended a significantly worse event-free survival compared with each of the other 3 groups (p <0.01 for all pairwise comparisons). By univariate and multivariate Cox regression analysis, GLS remained significantly associated with the composite end point. GLS > -10% had 4 times the risk of events compared with GLS ≤ -16% (p = 0.006). In conclusion, echo-based GLS is independently associated with outcomes in HC. Patients with GLS > -10% have significantly higher event rates.
Copyright © 2017 Elsevier Inc. All rights reserved.

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Year:  2017        PMID: 28687124     DOI: 10.1016/j.amjcard.2017.05.039

Source DB:  PubMed          Journal:  Am J Cardiol        ISSN: 0002-9149            Impact factor:   2.778


  16 in total

Review 1.  Echocardiographic assessment of left ventricular systolic function.

Authors:  Lars Gunnar Klaeboe; Thor Edvardsen
Journal:  J Echocardiogr       Date:  2018-11-02

Review 2.  Hypertrophic cardiomyopathy: an updated review on diagnosis, prognosis, and treatment.

Authors:  George Makavos; Chris Κairis; Maria-Eirini Tselegkidi; Theodoros Karamitsos; Angelos G Rigopoulos; Michel Noutsias; Ignatios Ikonomidis
Journal:  Heart Fail Rev       Date:  2019-07       Impact factor: 4.214

3.  Stress Myocardial Blood Flow Heterogeneity Is a Positron Emission Tomography Biomarker of Ventricular Arrhythmias in Patients With Hypertrophic Cardiomyopathy.

Authors:  Dai-Yin Lu; Hulya Yalçin; Fatih Yalçin; Min Zhao; Sanjay Sivalokanathan; Ines Valenta; Abdel Tahari; Martin G Pomper; Theodore P Abraham; Thomas H Schindler; M Roselle Abraham
Journal:  Am J Cardiol       Date:  2018-02-06       Impact factor: 2.778

Review 4.  Clinical Utility of Echocardiographic Strain and Strain Rate Measurements.

Authors:  Kawa Haji; Thomas H Marwick
Journal:  Curr Cardiol Rep       Date:  2021-02-16       Impact factor: 2.931

5.  Myocardial early systolic lengthening predicts mid-term outcomes in patients with hypertrophic cardiomyopathy.

Authors:  Ozkan Candan; Cetin Gecmen; Muzaffer Kahyaoğlu; Zeki Şimsek; Mehmet Çelik; Cevat Kirma
Journal:  Int J Cardiovasc Imaging       Date:  2021-11-30       Impact factor: 2.357

6.  Application of a new modality for assessing left ventricular function: can strain replace ejection fraction?

Authors:  Sung Yong Park
Journal:  Korean J Anesthesiol       Date:  2022-09-21

7.  Prognostic value of left ventricular apical four-chamber longitudinal strain after heart valve surgery in real-world practice.

Authors:  Jae-Sik Nam; Ji-Hyun Chin; Hyun-Uk Kang; Juyoun Kim; Kyoung-Woon Joung; In-Cheol Choi
Journal:  Korean J Anesthesiol       Date:  2022-06-15

8.  Machine Learning Methods for Identifying Atrial Fibrillation Cases and Their Predictors in Patients With Hypertrophic Cardiomyopathy: The HCM-AF-Risk Model.

Authors:  Moumita Bhattacharya; Dai-Yin Lu; Ioannis Ventoulis; Gabriela V Greenland; Hulya Yalcin; Yufan Guan; Joseph E Marine; Jeffrey E Olgin; Stefan L Zimmerman; Theodore P Abraham; M Roselle Abraham; Hagit Shatkay
Journal:  CJC Open       Date:  2021-02-02

9.  Incremental Prognostic Utility of Left Ventricular Global Longitudinal Strain in Hypertrophic Obstructive Cardiomyopathy Patients and Preserved Left Ventricular Ejection Fraction.

Authors:  Albree Tower-Rader; Jorge Betancor; Zoran B Popovic; Kimi Sato; Maran Thamilarasan; Nicholas G Smedira; Harry M Lever; Milind Y Desai
Journal:  J Am Heart Assoc       Date:  2017-10-20       Impact factor: 5.501

Review 10.  Fibrosis imaging: Current concepts and future directions.

Authors:  Maike Baues; Anshuman Dasgupta; Josef Ehling; Jai Prakash; Peter Boor; Frank Tacke; Fabian Kiessling; Twan Lammers
Journal:  Adv Drug Deliv Rev       Date:  2017-11-20       Impact factor: 15.470

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