Study type

Study topic

Disease /health condition
Human medicinal product

Study type

Non-interventional study

Scope of the study

Assessment of risk minimisation measure implementation or effectiveness
Drug utilisation

Data collection methods

Secondary use of data
Non-interventional study

Non-interventional study design

Cohort
Study drug and medical condition

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

BROMOCRIPTINE
CABERGOLINE
LISURIDE
QUINAGOLIDE
APOMORPHINE
PERGOLIDE
PIRIBEDIL
PRAMIPEXOLE
ROPINIROLE
LEVODOPA
Population studied

Short description of the study population

Pregnant women in EFEMERIS database who were either exposed or unexposed to dopamine agonists and living in South West France.

Age groups

Preterm newborn infants (0 – 27 days)
Term newborn infants (0 – 27 days)
Infants and toddlers (28 days – 23 months)

Special population of interest

Pregnant women

Estimated number of subjects

549
Study design details

Main study objective

The aim of the study was to describe pregnancy outcomes in women exposed to prescription of dopamine agonists in EFEMERIS, and to compare with unexposed women.

Outcomes

Pregnancy losses, birth defects, preterm births, low birth weight, psychomotor development.

Data analysis plan

Maternal characteristics and adverse fetal outcomes in the two groups (“exposed” and “unexposed”) were described and compared by simple conditional logistic regression. Then, we used conditional logistic regression to analyze risks for each outcome associated with dispensation of dopamine agonists. To identify confounders, we used simple conditional logistic regression to evaluate the association between each potential confounder (dispensation of folic acid and progesterone during organogenesis, multiple births, preterm birth, gender, mother’s occupation, number of ultrasound scans during pregnancy, pathologies during pregnancy) and each outcome. For psychomotor development, the small sample sizes led us to use exact conditional logistic regression. For analysis of the risk of pregnancy loss, survival analysis was also used, as a sensitivity analysis, to take the time–dependant characteristics of exposure into account. Cox proportional hazard regression was applied.
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