A multivariate bayesian mixed-effect model (Leaspy) to analyze the trajectory of cognitive decline in CADASIL. Un modèle bayésien multivarié à effets mixtes (Leaspy) pour analyser la trajectoire du déclin cognitif dans CADASIL

Archive ouverte

Kaisaridi, Sofia | Chabriat, Hugues | Tezenas Du Montcel, Sophie

Edité par CCSD -

International audience. Cerebral Autosomal Dominant Arteriopathy with Subcortical Infarcts and Leukoencephalopathy (CADASIL), the most frequent cerebral small artery disease is caused by stereotyped mutations of the NOTCH3 gene. The multifaceted clinical presentation of this disorder can be assessed using various measures. We used a bayesian mixed effect model(Leaspy) to model the multivariate disease progression and explore the spatiotemporal relationships between these measures. We were also able to identify different groups of individual evolution according to the time shift and acceleration rate by taking into account the gender, education level, smoking, hypertension and the mutation's position.

• Description
• Sujet/Public
• Outil
• Outil d'anticipation
• Mémoire et thèse
• Gestion