Study type

Study type

Non-interventional study

Scope of the study

Assessment of risk minimisation measure implementation or effectiveness
Disease epidemiology
Other

If ‘other’, further details on the scope of the study

Phenotyping Study
Non-interventional study

Non-interventional study design

Cohort
Cross-sectional
Study drug and medical condition

Anatomical Therapeutic Chemical (ATC) code

(N03AG01) valproic acid
valproic acid

Medical condition to be studied

Foetal anticonvulsant syndrome

Additional medical condition(s)

Fetal Valproate Spectrum Disorder
Population studied

Age groups

Children (2 to < 12 years)
Adolescents (12 to < 18 years)
Adults (18 to < 46 years)

Estimated number of subjects

114
Study design details

Main study objective

To ascertain maternal views regarding the health, neurodevelopment and adaptive functioning of children and young adults with Fetal Valproate Spectrum Disorder in order to establish the phenotype of FVSD in older children and young adults.

Outcomes

Parent reported cognitive development as measured by the Patient Reported Outcome Measurement Information System (PROMIS) Cognitive Function Item Bank (custom short-form). The following outcomes will also be explored: - Physical Health - Neurodevelopmental disorders - Service utilization - Academic Functioning & Educational Outcomes - Social Development - Emotional & Behavioral Development - Sensory Issues - Employment (16+ only) - Independence & Daily Living

Data analysis plan

Data will be explored and described in terms of means, frequencies and percentages for the FVSD and comparison groups. This data will be inspected to develop a preliminary conceptualization of the FVSD phenotype. Differences within the FVSD group by age, sex and dose will also be explored. Appropriate statistical tests (e.g. t-test and Chi-square) will then be used to examine differences between the group with FVSD and the control group and, should large enough numbers be obtained, analysis adjusting for confounder and moderating and/or mediating factors will be undertaken (e.g. multiple linear and logistic regression analyses). Data from each age group will be pooled for analysis where appropriate and group differences will be explored using either total/mean scores (for scales measuring an underlying latent trait) or frequencies (for checklists of directly observable variables).