Echocardiographic Predictors of recurrence of subaortic stenosis
Research type
Research Study
Full title
Echocardiographic Predictors of Recurrence of Subaortic Stenosis
IRAS ID
134525
Contact name
PARASKEVI THEOCHARIS
Contact email
Sponsor organisation
University hospital of Southampton
Research summary
INTRODUCTION:\nThe obstruction of the left ventricular outflow tract (LVOT) of the heart beneath the level of the aortic valve is an acquired condition as it is rarely recognized in newborn period but is common in infancy and childhood and has been diagnosed after previous documentation of “normal” left ventricular outflow tract and is often associated with other cardiac lesions. Most patients with Subaortic Stenosis (SAS) are asymptomatic. Patients with high LVOT gradients present with symptoms such chest pain, syncope, palpitations.\nIt is a progressive situation and if left untreated, can lead to left ventricular hypertrophy and eventual failure. Despite the fact that surgery for subaortic stenosis is very effective, recurrence occurs in up to 55%, and reoperation is needed in a number of patients.\nThere is not clear echocardiographic evidence of what parameters can be used as possible predictive factors for SAS recurrence after initial surgery.\n\nAIM:\nThe aim of this study is to identify echocardiographic or anatomic findings and indices preoperatively and postoperatively that could be predictive of Discrete Subaortic Stenosis (DSS) recurrence after the initial operation. \n\nMETHODS: \nThis study will be performed as a retrospective review.\nPatients with subaortic stenosis will be identified from the departmental database. Demographic data will be recorded from the patients’ case notes. Echocardiographic data will be recorded from the echocardiogram report, and also from review of the echocardiogram by the investigators preoperatively, during surgery as well as follow up echocardiograms. Parameters will be recorded on a passward protected computer file at the paediatric cardiology doctors station at SGH and will not contain identification data. We aim to collect parameters from 120 patients approximately. Children from 0-18 years of age will be included. The data will be analyzed using the SPSS statistics analysis system.
REC name
West Midlands - South Birmingham Research Ethics Committee
REC reference
14/WM/0067
Date of REC Opinion
18 Feb 2014
REC opinion
Favourable Opinion