Literature DB >> 29617974

Association between layer-specific global longitudinal strain and adverse outcomes following acute coronary syndrome.

Kristoffer Grundtvig Skaarup1, Allan Iversen1, Peter Godsk Jørgensen1, Flemming Javier Olsen1, Gabriela Llado Grove1,2, Jan Skov Jensen1,3, Tor Biering-Sørensen1,2.   

Abstract

Aims: To investigate the prognostic value of layer-specific global longitudinal strain (GLS) in predicting heart failure (HF) and cardiovascular death (CD) following acute coronary syndrome (ACS). Methods and results: In this retrospective study, 465 ACS patients underwent transthoracic echocardiography following percutaneous coronary intervention (PCI). The primary endpoint was the composite of HF and/or CD with a median follow-up time of 4.6 (0.2-6.3) years. During follow-up 199 patients (42.7%) suffered HF and/or CD (176 developed HF and 38 suffered CD). Absolute endomyocardial global longitudinal strain (GLSendo) (12% vs. 17%, P < 0.001), GLS (11% vs. 14%, P < 0.001), and epimyocardial global longitudinal strain (GLSepi) (9% vs. 13%, P < 0.001) were all reduced in patients with an adverse outcome. In multivariable Cox regressions, which included clinical baseline characteristics and conventional echocardiographic measurements, GLS obtained from all layers remained independently associated with the composite outcome; GLSendo [hazard ratio: 1.19 (1.10-1.28), P < 0.001, per 1% decrease], GLS [hazard ratio 1.24 (1.14-1.35), P < 0.001, per 1% decrease], and GLSepi [hazard ratio 1.26 (1.15-1.39), P < 0.001, per 1% decrease]. No other echocardiographic measures remained independently associated with the composite outcome in these models. Finally, GLS and GLSepi provided incremental prognostic information on the risk of developing the composite endpoint, when added to all other clinical and echocardiographic measures [adding GLS (c-statistics: 0.76 vs. 0.74, P = 0.048) or adding GLSepi (c-statistics: 0.76 vs. 0.74, P = 0.039)].
Conclusion: In ACS patients, layer-specific strain provides independent prognostic information regarding risk of developing HF and/or CD. Furthermore, only GLS and GLSepi provided incremental prognostic information when added to all other significant predictors.

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Year:  2018        PMID: 29617974     DOI: 10.1093/ehjci/jey004

Source DB:  PubMed          Journal:  Eur Heart J Cardiovasc Imaging        ISSN: 2047-2404            Impact factor:   6.875


  11 in total

1.  Usefulness of layer-specific strain in diagnosis of coronary artery disease in patients with stable angina pectoris.

Authors:  Christoffer A Hagemann; Søren Hoffmann; Rikke A Hagemann; Thomas Fritz-Hansen; Flemming J Olsen; Peter G Jørgensen; Tor Biering-Sørensen
Journal:  Int J Cardiovasc Imaging       Date:  2019-06-21       Impact factor: 2.357

2.  Layer-specific global longitudinal strain obtained by speckle tracking echocardiography for predicting heart failure and cardiovascular death following STEMI treated with primary PCI.

Authors:  Gabriela Lladó Grove; Sune Pedersen; Flemming Javier Olsen; Kristoffer Grundtvig Skaarup; Peter Godsk Jørgensen; Amil M Shah; Tor Biering-Sørensen
Journal:  Int J Cardiovasc Imaging       Date:  2021-03-10       Impact factor: 2.357

3.  Post-systolic shortening predicts heart failure following acute coronary syndrome.

Authors:  Philip Brainin; Kristoffer Grundtvig Skaarup; Allan Zeeberg Iversen; Peter Godsk Jørgensen; Elke Platz; Jan Skov Jensen; Tor Biering-Sørensen
Journal:  Int J Cardiol       Date:  2018-11-22       Impact factor: 4.164

4.  Peak strain dispersion within the left ventricle detected by two-dimensional speckle tracking in patients with uncomplicated systemic lupus erythematosus.

Authors:  Chunmei Li; Kun Li; Miao Yuan; Wenjuan Bai; Li Rao
Journal:  Int J Cardiovasc Imaging       Date:  2021-03-04       Impact factor: 2.357

5.  Layer-specific Strain Analysis with Cardiac MRI Feature Tracking in Acute Myocarditis.

Authors:  Alexander Isaak; Dmitrij Kravchenko; Narine Mesropyan; Christoph Endler; Leon M Bischoff; Thomas Vollbrecht; Daniel Thomas; Darius Dabir; Sebastian Zimmer; Ulrike Attenberger; Daniel Kuetting; Julian A Luetkens
Journal:  Radiol Cardiothorac Imaging       Date:  2022-06-09

6.  The impact of cardiovascular risk factors on global longitudinal strain over a decade in the general population: the copenhagen city heart study.

Authors:  Kristoffer Grundtvig Skaarup; Mats Christian Højbjerg Lassen; Jacob Louis Marott; Sofie R Biering-Sørensen; Peter Godsk Jørgensen; Merete Appleyard; Jens Berning; Nis Høst; Gorm Jensen; Peter Schnohr; Peter Søgaard; Gunnar Gislason; Rasmus Møgelvang; Tor Biering-Sørensen
Journal:  Int J Cardiovasc Imaging       Date:  2020-06-07       Impact factor: 2.357

7.  Layer-specific strain in patients with heart failure using cardiovascular magnetic resonance: not all layers are the same.

Authors:  Lingyu Xu; Joseph J Pagano; Mark J Haykowksy; Justin A Ezekowitz; Gavin Y Oudit; Yoko Mikami; Andrew Howarth; James A White; Jason R B Dyck; Todd Anderson; D Ian Paterson; Richard B Thompson
Journal:  J Cardiovasc Magn Reson       Date:  2020-12-03       Impact factor: 5.364

8.  Post-systolic shortening is superior to global longitudinal strain in predicting adverse events in patients with stable coronary artery disease and preserved systolic function.

Authors:  Shirui Lu; Xin Hu; Jun Zhang; Ying Zhu; Wei Zhou; Yani Liu; Youbin Deng
Journal:  Insights Imaging       Date:  2022-03-02

9.  Segmental Tissue Speckle Tracking Predicts the Stenosis Severity in Patients With Coronary Artery Disease.

Authors:  Srisakul Chaichuum; Shuo-Ju Chiang; Masao Daimon; Su-Chen Chang; Chih-Lin Chan; Chu-Ying Hsu; Hsiang-Ho Chen; Ching-Li Tseng
Journal:  Front Cardiovasc Med       Date:  2022-02-03

10.  Ensemble machine learning approach for screening of coronary heart disease based on echocardiography and risk factors.

Authors:  Jingyi Zhang; Huolan Zhu; Yongkai Chen; Chenguang Yang; Huimin Cheng; Yi Li; Wenxuan Zhong; Fang Wang
Journal:  BMC Med Inform Decis Mak       Date:  2021-06-11       Impact factor: 2.796

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