Study type

Study topic

Human medicinal product

Study type

Non-interventional study

Scope of the study

Assessment of risk minimisation measure implementation or effectiveness

Data collection methods

Secondary use of data
Non-interventional study

Non-interventional study design

Cohort
Study drug and medical condition

Name of medicine

OMVOH

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

MIRIKIZUMAB

Anatomical Therapeutic Chemical (ATC) code

(L04AC24) mirikizumab
mirikizumab

Medical condition to be studied

Colitis ulcerative
Population studied

Short description of the study population

426 mirikizumab-treated patients and their mother-infant linked pregnancies

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)
Adults (46 to < 65 years)

Special population of interest

Pregnant women

Estimated number of subjects

426
Study design details

Main study objective

Describe the occurrence of adverse pregnancy & infant outcomes among pregnant women with ulcerative colitis who are exposed to mirikizumab & infants linked to those mothers & in women with ulcerative colitis exposed to comparator medications.

Outcomes

Major congenital malformations, Spontaneous abortions, stillbirth, preterm birth, small for gestational age

Data analysis plan

Dichotomous & categorical covariates will be summarized using counts with percentages, & non-missing values of continuous variables will be summarized using means with standard deviations & medians with interquartile range. Counts of outcomes will be presented, along with timing of exposure to mirikizumab or comparator group treatments. The prevalence of each outcome will be reported as count per 100 pregnancies or live births along with the 95% confidence intervals. Additionally, incidence rates will be reported for the major congenital malformation outcome. Crude and propensity score adjusted relative risks (95% CI) will be estimated by robust (modified) Poisson regression using a log link and a Poisson distribution without an offset parameter. Several sensitivity analyses will be conducted to test robustness of results to study specifications.