4.3 Article

Risk Factors of Right Ventricular Dysfunction and Adverse Cardiac Events in Patients with Repaired Tetralogy of Fallot

Publisher

MDPI
DOI: 10.3390/ijerph181910549

Keywords

Tetralogy of Fallot; cardiac magnetic resonance imaging; right ventricle dysfunction; repaired Tetralogy of Fallot; pulmonary valve

Funding

  1. British Heart Foundation
  2. Bristol NIHR Biomedical Research Centre

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This study evaluates risk factors associated with RV dilation and dysfunction in rToF patients, finding that male gender and surgical history significantly impact long-term outcomes and should be considered in follow-up management and PVR timing.
Aim: This study evaluates the risk factors associated with right ventricular (RV) dilation and dysfunction leading to pulmonary valve replacement (PVR) or adverse cardiac events in repaired Tetralogy of Fallot (rToF) patients. Methods: Data from all rToF patients who underwent magnetic resonance imaging (MRI) evaluation at our hospital between February 2007 and September 2020 were collected. Results: Three hundred and forty-two patients (60% males, 42% older than 18 years), with a median age of 16 years (IQR 13-24) at the time of MRI, were included. All patients underwent complete repair at a median age of 8 months (IQR 5-16), while palliation was performed in 56 patients (16%). One hundred and forty-four patients (42%) subsequently received pulmonary valve replacement (PVR). At the multivariate analysis, male gender was an independent predictor for significant RV dilation, RV and left ventricular (LV) dysfunction. Transventricular ventricular septal defect (VSD) closure and previous palliation significantly affected LV function and RV size, respectively. Male gender and the transventricular VSD closure were independent predictors for PVR. Conclusions: Male gender and surgical history (palliation, VSD closure approach) significantly affected the long-term outcomes in rToF patients and should be taken into consideration in the follow-up management and in PVR timing in this patient population.

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