Study type

Study type

Non-interventional study

Scope of the study

Assessment of risk minimisation measure implementation or effectiveness
Disease epidemiology
Non-interventional study

Non-interventional study design

Cohort
Study drug and medical condition

Name of medicine

AIMOVIG

Study drug International non-proprietary name (INN) or common name

ERENUMAB

Anatomical Therapeutic Chemical (ATC) code

(N02CD01) erenumab
erenumab

Medical condition to be studied

Migraine
Population studied

Age groups

Preterm newborn infants (0 – 27 days)
Term newborn infants (0 – 27 days)
Infants and toddlers (28 days – 23 months)
Adolescents (12 to < 18 years)
Adults (18 to < 46 years)

Special population of interest

Pregnant women

Estimated number of subjects

1500
Study design details

Main study objective

To estimate and compare the proportion of live-born infants with major congenital malformations among women with migraine directly exposed to erenumab-aooe prior to and during pregnancy, women with migraine exposed to other preventive migraine medications prior to or during pregnancy, and women with migraine not exposed to any preventive migraine medications prior to or during pregnancy.

Outcomes

To estimate and compare the proportion of live-born infants with major congenital malformations. To estimate and compare the proportion of pregnancies ending in spontaneous abortions, and, separately, stillbirths. To estimate and compare the proportion of live-born infants who are small-for gestational age. To describe baseline characteristics and medication treatment patterns during pregnancy.

Data analysis plan

Discrete variables will be summarized using frequencies and proportions, and continuous variables will be summarized using means and standard deviation or medians and interquartile range, as appropriate. Demographic and other baseline characteristics will be summarized by cohort of exposure. Each of the primary and secondary outcomes will be described using frequencies, proportions and corresponding 95% confidence intervals (CI). If there is sufficient sample size, formal comparisons to estimate risk (odds ratios and corresponding 95% CIs) will be undertaken, using standardized mortality ratio weights to account for confounding.