長尾 充展
Department School of Medicine(Tokyo Women's Medical University Hospital), School of Medicine Position Associate Professor |
|
Article types | Original article |
Language | English |
Peer review | Peer reviewed |
Title | Geometrical characteristics of left ventricular dyssynchrony in advanced heart failure. Myocardial strain analysis by tagged MRI. |
Journal | Formal name:International heart journal Abbreviation:Int Heart J ISSN code:(1349-3299)1349-2365(Linking) |
Domestic / Foregin | Foregin |
Volume, Issue, Page | 55(6),pp.512-518 |
Author and coauthor | Nagao Michinobu, Yamasaki Yuzo, Yonezawa Masato, Kamitani Takeshi, Kawanami Satoshi, Mukai Yasushi, Higo Taiki, Yabuuchi Hidetake, Sunagawa Kenji, Honda Hiroshi |
Authorship | Lead author,Corresponding author |
Publication date | 2014 |
Summary | The aims of this study were to quantify the geometrical differences in left ventricular (LV) dyssynchrony in patients with heart failure (HF) using cine-tagged MRI, and to investigate the relationship between dyssynchrony and major adverse cardiac events (MACE) in HF.In 67 patients with HF [mean LV ejection fraction (LVEF), 34%], cardiac MRI using a 3-Tesla scanner was performed. The dyssynchrony time between septal and lateral segments (SL-DT) and between basal and apical segments (BA-DT) was computed by cross-correlation analysis of the strain time-curves from the cine-tagged MRI. After receiving optimal medical treatment, all patients were followed-up for a mean period of 27 months. The primary endpoint was MACE that consisted of cardiac death or HF hospitalization or a left ventricular assist device due to refractory pump failure. Multivariate logistic regression analysis was performed to determine the ability of SL-DT, BA-DT, and HF biomarkers to predict MACE.Multivariate logistic regression analysis showed that the odds ratio to predict MACE was 0.935 for LVEF (P = 0.021), 1.016 for BA-DT (P = 0.026), and 0.971 for systolic blood pressure (P = 0.126).The results show that basal-apical dyssynchrony is an independent predictor of MACE in HF patients. |
DOI | org/10.1536/ihj.14-137 |
PMID | 25310930 |