Early diastolic strain rate predicts response to heart failure therapy in patients with dilated cardiomyopathy

被引:0
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作者
Björn Goebel
Kristina H. Haugaa
Kathleen Meyer
Sylvia Otto
Christian Jung
Alexander Lauten
Hans R. Figulla
Thor Edvardsen
Tudor C. Poerner
机构
[1] University Hospital of Jena,1st Department of Medicine, Division of Cardiology
[2] Rikshospitalet University Hospital,Department of Cardiology
[3] University of Oslo,undefined
关键词
Dilated cardiomyopathy; Speckle tracking echocardiography; Heart failure therapy;
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摘要
The aim of this prospective study was to assess the value of speckle tracking echocardiographic (2D-STE) parameters to predict response to heart failure therapy in patients with dilated cardiomyopathy (DCM). Eighty-seven patients (mean age 51 ± 13 years) with DCM, defined as ejection fraction (EF) <45 %, left ventricular (LV) end-diastolic diameter >112 % of normal range derived from age and body surface area. Based on 2D-STE following parameters were extracted from three apical views of the LV: global longitudinal strain, systolic and diastolic strain rate (SRE). Mechanical dispersion was calculated as standard deviation of time-to-peak strain values including all LV segments. After receiving heart failure therapy (mean 39 ± 11 months, range 3–60 months) 50 patients reached combined endpoint defined as following: death, heart transplantation, rehospitalization due to heart failure, and absence of improvement in EF. On stepwise multivariate regression analysis, SRE was independently of EF and LV volumes predictive for combined endpoint (OR 0.44, 95 %CI 0.27–0.70, p = 0.001) with an area under the ROC-curve (AUC) of 0.91. In patients with cQRS duration ≤120 ms mechanical dispersion was predictive for combined endpoint with the highest AUC (OR 1.53, 95 %CI 1.08–2.16, p = 0.002; AUC = 0.94). In this study, SRE, a surrogate parameter of myocardial relaxation, was able to predict a response to heart failure therapy in patients with DCM. In patients with narrow QRS complex, mechanical dispersion yielded the highest predictive value. Parameters of 2D-STE may contribute to risk stratification in this patient population.
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页码:505 / 513
页数:8
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