Neo-aortic Root Dilatation, Aortic Stiffness, and Ventricular interactions in Long-Term Follow-Up After the Ross Procedure in Childhood.
Mehul D PatelAdam L DorfmanSunkyung YuRay LoweryMaryam Ghadimi MahaniPrachi P AgarwalJason T ChristensenJimmy C LuPublished in: Pediatric cardiology (2020)
Patients after the Ross procedure are at risk for right (RV) and left ventricular (LV) dysfunction due to neo-aortic and pulmonary dysfunction. While neo-aortic root dilatation has been related to LV dysfunction, the potential contributions of aortic stiffness and ventricular interactions have not been evaluated. Patients status post Ross procedure up to age 18 years with cardiac magnetic resonance (CMR) exam from 2007 to 2018 were retrospectively reviewed. Aortic pulse wave velocity (PWV) was calculated from phase contrast and angiogram images. RV and LV peak global longitudinal (GLS) and circumferential strain (GCS) were measured using tissue tracking software. Multivariable regression was performed for variables associated with parameters of LV function. In 58 patients (median age 20.5 years at CMR exam), male gender, longer time since Ross procedure, aortic root dilatation, and lower RV ejection fraction (EF) were associated with decreased LV EF. There was no association with LV late gadolinium enhancement or neo-aortic or conduit regurgitation. LV GCS and GLS also correlated with RV GCS, RV GLS and PWV. In multivariable analysis, the relation of RV and LV systolic function, but not aortic measurements, remained significant. In conclusion, in long-term follow-up after pediatric Ross procedure, RV function rather than aortic root size or aortic stiffness most closely relates to LV function. Ventricular interactions may impact decision-making on timing of conduit intervention, which could differ from established criteria in populations with only aortic or pulmonary valve disease. Further study is warranted to evaluate possible association with clinical outcome.
Keyphrases
- left ventricular
- aortic valve
- ejection fraction
- mycobacterium tuberculosis
- aortic stenosis
- pulmonary artery
- heart failure
- magnetic resonance
- aortic dissection
- hypertrophic cardiomyopathy
- acute myocardial infarction
- mitral valve
- left atrial
- transcatheter aortic valve replacement
- pulmonary hypertension
- cardiac resynchronization therapy
- minimally invasive
- blood pressure
- magnetic resonance imaging
- end stage renal disease
- decision making
- machine learning
- chronic kidney disease
- coronary artery disease
- cross sectional
- young adults
- convolutional neural network
- patient reported outcomes
- deep learning
- data analysis
- atrial fibrillation
- climate change
- blood flow
- percutaneous coronary intervention