Impact of energy loss index on left ventricular mass regression after aortic valve replacement

被引：7

作者：

Koyama T. ^{[1
]}

Okura H. ^{[1
]}

Kume T. ^{[1
]}

Fukuhara K. ^{[1
]}

Imai K. ^{[1
]}

Hayashida A. ^{[1
]}

Neishi Y. ^{[1
]}

Kawamoto T. ^{[1
]}

Tanemoto K. ^{[2
]}

Yoshida K. ^{[1
]}

机构：

[1] Division of Cardiology, Kawasaki Medical School, Kurashiki, 701-0192

[2] Division of Cardiovascular Surgery, Kawasaki Medical School, Kurashiki

来源：

Journal of Echocardiography | 2014年 / 12卷 / 2期

关键词：

Aortic stenosis; Aortic valve replacement; Energy loss coefficient; Energy loss index; Prosthesis-patient mismatch;

D O I：

10.1007/s12574-013-0196-7

中图分类号：

学科分类号：

摘要：

Background: Recently, the energy loss index (ELI) has been proposed as a new functional index to assess the severity of aortic stenosis (AS). The aim of this study was to investigate the impact of the ELI on left ventricular mass (LVM) regression in patients after aortic valve replacement (AVR) with mechanical valves. Methods: A total of 30 patients with severe AS who underwent AVR with mechanical valves was studied. Echocardiography was performed to measure the LVM before AVR (pre-LVM) (n = 30) and repeated 12 months later (post-LVM) (n = 19). The ELI was calculated as [effective orifice area (EOA) × aortic cross sectional area]/(aortic cross sectional area - EOA) divided by the body surface area. The LVM regression rate (%) was calculated as 100 × (post-LVM - pre-LVM)/(pre-LVM). A cardiac event was defined as a composite of cardiac death and heart failure requiring hospitalization. Results: LVM regressed significantly (245.1 ± 84.3 to 173.4 ± 62.6 g, P < 0.01) at 12 months after AVR. The LVM regression rate negatively correlated with the ELI (R = -0.67, P < 0.01). By receiver operating characteristic (ROC) curve analysis, ELI <1.12 cm2/m2 predicted smaller (<-30.0 %) LVM regression rates (area under the curve = 0.825; P = 0.030). Patients with ELI <1.12 cm2/m2 had significantly lower cardiac event-free survival. Conclusion: The ELI as well as the EOA index (EOAI) could predict LVM regression after AVR with mechanical valves. Whether the ELI is a stronger predictor of clinical events than EOAI is still unclear, and further large-scale study is necessary to elucidate the clinical impact of the ELI in patients with AVR. © 2013 The Author(s).

引用

页码：51 / 58

页数：7

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