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The Impact of Aortic Valve Replacement on Left Ventricular Remodeling in Children

Overview of attention for article published in Pediatric Cardiology, May 2016
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Title
The Impact of Aortic Valve Replacement on Left Ventricular Remodeling in Children
Published in
Pediatric Cardiology, May 2016
DOI 10.1007/s00246-016-1383-x
Pubmed ID
Authors

Anoop K. Singh, Ross M. Ungerleider, Yuk M. Law

Abstract

There are scant data in pediatrics on the optimal timing for aortic valve repair (AVR). This study assesses the midterm response to AVR and possible predictors of poor outcome. From 2001 to 2006, 41 patients had greater than 3-month follow-up after AVR for aortic insufficiency, aortic stenosis, or both. Pre-, peri-, and post-operative data were collected, including demographics and clinical symptoms. Two reviewers measured echocardiographic parameters from the pre-operative and latest follow-up echocardiograms. Ventricular dimensions were indexed to body surface area (z-score). Median age at AVR was 13 years with 83 % having a Ross operation. The average left ventricular end-diastolic dimension pre-op, z-score of +1.3, significantly decreased at last follow-up to a mean z-score of -0.1 (p < 0.001). Similarly the indexed LV mass decreased from +3.9 to +0.5 (p < 0.001). There was no significant correlation between the presence of pre-op symptoms and the presence of post-op LV dilatation, hypertrophy, or dysfunction. In the subset of patients (7/41) with persistent LV dysfunction at last follow-up, there was a significant correlation with pre-op LV dilatation as assessed by both LVEDD (p = 0.02) and LVESD (p = 0.05). Children demonstrate significant reverse remodeling after AVR. Pre-op LV dilatation may predict patients with persistent LV dysfunction post-AVR. Symptoms are less useful in children, suggesting the need for more objective data for functional assessment.

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Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Other 4 22%
Student > Postgraduate 3 17%
Professor 3 17%
Student > Master 2 11%
Student > Doctoral Student 1 6%
Other 2 11%
Unknown 3 17%
Readers by discipline Count As %
Medicine and Dentistry 13 72%
Psychology 1 6%
Computer Science 1 6%
Unknown 3 17%