Cardiomyopathy, Infantile Histiocytoid

Congenital heart disease (CHD) includes a wide variety of types of disease, including congenital abnormalities of the heart valves. This can range from bicuspid aortic valve and other aortic valve deformities to more complex disease such as tetralogy of Fallot.
For many kinds of CHD, the optimal timing of interventions remains unclear. For instance, in tetralogy of Fallot, there is still equipoise about when to offer pulmonary valve replacement (PVR), while in aortic regurgitation, some patients can remain stable for many years.
The primary focus of this study is to use continuous physiologic data (CPD), obtained using wearable biosensors (a type of biometric monitoring technology), to develop improved biomarkers of disease progression and prognosis from patients with congenital heart disease (CHD) who are pregnant while they are at home as well as looking at patients' experience and interaction with wearable biosensor technology at home.

Congenital cardiopathy are frequent malformations (1/100 birth). The progress of surgery permit a survival rate at the adult age of more than 90%. The long terms consequences must be taken in account and the nerodevelopmental disorders are in first place (intelectual deficiency, autism spectrum disorders, or attention disorders) and presents in 30 to 60% of the patients (Calmant, 2015). The impact can be important on the scolarity, the studies, the professional activity and finaly on the quality of life of the patients becomming adults.
The identification of the risk factors on surgery period should permit to propose the most adapted follow-up to the specifics needs of each patients.
On the scientific plans, the identification of early markers on brain dammage on EEG should permit to better apprehend the physiopathologic mecanisms involved.

The background for performing the present study is to compare the mass calculations by CT scanning and by invasive absolute blood flow measurements and thereby corroborating both methods.