Literature DB >> 18498814

Longitudinal study of the profile and predictors of left ventricular mass regression after stentless aortic valve replacement.

Eric Lim1, Ayyaz Ali, Panagiotis Theodorou, Ines Sousa, Hutan Ashrafian, Themis Chamageorgakis, Alison Duncan, Michael Henein, Peter Diggle, John Pepper.   

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.

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Year:  2008        PMID: 18498814     DOI: 10.1016/j.athoracsur.2008.02.023

Source DB:  PubMed          Journal:  Ann Thorac Surg        ISSN: 0003-4975            Impact factor:   4.330


  10 in total

1.  The novel two-dimensional strain reflects improvement and remodeling of left-ventricular function better than conventional echocardiographic parameters after aortic valve repair in pediatric patients.

Authors:  Yaping Mi; Tanja Rädle-Hurst; Axel Rentzsch; Diana Aicher; Hans Joachim Schäfers; Hashim Abdul-Khaliq
Journal:  Pediatr Cardiol       Date:  2012-06-02       Impact factor: 1.655

2.  Longitudinal strain predicts left ventricular mass regression after aortic valve replacement for severe aortic stenosis and preserved left ventricular function.

Authors:  Sandro Gelsomino; Fabiana Lucà; Orlando Parise; Roberto Lorusso; Carmelo Massimiliano Rao; Enrico Vizzardi; Gian Franco Gensini; Jos G Maessen
Journal:  Heart Vessels       Date:  2012-11-21       Impact factor: 2.037

Review 3.  Pre- and Postoperative Imaging of the Aortic Root.

Authors:  Kate Hanneman; Frandics P Chan; R Scott Mitchell; D Craig Miller; Dominik Fleischmann
Journal:  Radiographics       Date:  2015-11-27       Impact factor: 5.333

4.  Left ventricular mass regression in patients without patient-prosthesis mismatch after aortic valve replacement for aortic stenosis.

Authors:  Kohei Hachiro; Takeshi Kinoshita; Tohru Asai; Tomoaki Suzuki
Journal:  Gen Thorac Cardiovasc Surg       Date:  2019-08-14

5.  Coronary artery disease and outcomes of aortic valve replacement for severe aortic stenosis.

Authors:  Jocelyn M Beach; Tomislav Mihaljevic; Lars G Svensson; Jeevanantham Rajeswaran; Thomas Marwick; Brian Griffin; Douglas R Johnston; Joseph F Sabik; Eugene H Blackstone
Journal:  J Am Coll Cardiol       Date:  2013-02-26       Impact factor: 24.094

6.  Mixed effect machine learning: A framework for predicting longitudinal change in hemoglobin A1c.

Authors:  Che Ngufor; Holly Van Houten; Brian S Caffo; Nilay D Shah; Rozalina G McCoy
Journal:  J Biomed Inform       Date:  2018-09-04       Impact factor: 6.317

7.  Assessment of 10-Year Left-Ventricular-Remodeling by CMR in Patients Following Aortic Valve Replacement.

Authors:  Nina Rank; Lukas Stoiber; Mithal Nasser; Radu Tanacli; Christian Stehning; Jan Knierim; Felix Schoenrath; Burkert Pieske; Volkmar Falk; Titus Kuehne; Alexander Meyer; Sebastian Kelle
Journal:  Front Cardiovasc Med       Date:  2021-03-22

8.  A Gaussian copula approach for dynamic prediction of survival with a longitudinal biomarker.

Authors:  Krithika Suresh; Jeremy M G Taylor; Alexander Tsodikov
Journal:  Biostatistics       Date:  2021-07-17       Impact factor: 5.899

9.  Reverse Myocardial Remodeling Following Valve Replacement in Patients With Aortic Stenosis.

Authors:  Thomas A Treibel; Rebecca Kozor; Rebecca Schofield; Giulia Benedetti; Marianna Fontana; Anish N Bhuva; Amir Sheikh; Begoña López; Arantxa González; Charlotte Manisty; Guy Lloyd; Peter Kellman; Javier Díez; James C Moon
Journal:  J Am Coll Cardiol       Date:  2018-02-27       Impact factor: 24.094

10.  Renin-Angiotensin System Blockade in Aortic Stenosis: Implications Before and After Aortic Valve Replacement.

Authors:  Sachin S Goel; Neal S Kleiman; William A Zoghbi; Michael J Reardon; Samir R Kapadia
Journal:  J Am Heart Assoc       Date:  2020-09-06       Impact factor: 5.501

  10 in total

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