Prediction of aortic dilation in Turner syndrome - enhancing the use of serial cardiovascular magnetic resonance

摘要

BackgroundIdentification of the subset females with Turner syndrome who face especially high risk of aortic dissection is difficult, and more optimal risk assessment is pivotal in order to improve outcomes. This study aimed to provide comprehensive, dynamic mathematical models of aortic disease in Turner syndrome by use of cardiovascular magnetic resonance (CMR).MethodsA prospective framework of long-term aortic follow-up was used, which comprised diameters of the thoracic aorta prospectively assessed at nine positions by CMR at the three points in time (baseline [n?=?102, age 38?±?11?years], follow-up [after 2.4?±?0.4?years, n?=?80] and end-of-study [after 4.8?±?0.5?years, n?=?78]). Mathematical models were created that cohesively integrated all measurements at all positions, from all visits and for all participants, and using these models cohesive risk factor analyses were conducted based on which predictive modeling was performed on which predictive modelling was performed.ResultsThe cohesive models showed that the variables with effect on aortic diameter were aortic coarctation (P?