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A longitudinal study of the prole and predictors of left ventricular mass regression after stentless aortic valve replacement.

Lim, Eric and Ali, Ayyaz and Theodorou, Panagiotis and Pereira Silva Cunha Sousa, Ines and Ashrafian, Hutan and Chamageorgakis, Chamageorgakis and Duncan, Alison and Henein, Michael and Diggle, Peter and Pepper, John (2008) A longitudinal study of the prole and predictors of left ventricular mass regression after stentless aortic valve replacement. Annals of Thoracic Surgery, 85 (6). pp. 2026-2029. ISSN 1552-6259

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Abstract

Background The aim of this study was to evaluate the long-term profile and determine the factors that would influence the effect and rate of ventricular mass regression with time after aortic valve replacement with a stentless or a homograft valve. Methods We studied 300 patients during a 10-year period with at least a year of follow-up with a total of 1,273 serial echocardiographic measurements. Left ventricular mass was calculated from M-mode recordings and indexed to body surface area. Longitudinal data analysis was performed using a linear mixed effects model. Results The mean age (± standard deviation) was 65 (±14) years, consisting of 216 (72%) males. A stentless valve was implanted in 156 (52%), and a homograft in 144 (48%). The median time (interquartile range) to follow-up was 4.7 (2.8 to 6.6) years. The greatest rate of left ventricular mass regression occurred in the first year after surgery. On multivariable modeling, independent predictors of left ventricular mass were valve size (p = 0.011), left ventricular function (moderate impairment, p = 0.418; severe impairment, p = 0.011), and baseline left ventricular mass (middle tercile, p < 0.001; highest tercile, p < 0.001). Only baseline ventricular mass influenced the rate of subsequent left ventricular mass regression; the greatest rate of regression occurred in patients with the highest baseline values of ventricular mass (p < 0.001). Conclusions The greatest rate of left ventricular mass regression occurs in the first year with baseline left ventricular mass as the strongest predictor and the only identified variable that influenced the rate of left ventricular mass regression.

Item Type: Article
Journal or Publication Title: Annals of Thoracic Surgery
Subjects:
Departments: Faculty of Health and Medicine > Medicine
Faculty of Science and Technology > Mathematics and Statistics
ID Code: 51899
Deposited By: ep_importer_pure
Deposited On: 08 Dec 2011 10:24
Refereed?: Yes
Published?: Published
Last Modified: 09 Apr 2014 22:55
Identification Number:
URI: http://eprints.lancs.ac.uk/id/eprint/51899

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