Study type

Study topic

Human medicinal product

Study type

Non-interventional study

Scope of the study

Drug utilisation

Data collection methods

Secondary use of data
Non-interventional study

Non-interventional study design

Cohort
Other

Non-interventional study design, other

Population-based observational study
Study drug and medical condition

Anatomical Therapeutic Chemical (ATC) code

(C01BA) Antiarrhythmics, class Ia
Antiarrhythmics, class Ia
(C07FB) Beta blocking agents and calcium channel blockers
Beta blocking agents and calcium channel blockers
(C08E) NON-SELECTIVE CALCIUM CHANNEL BLOCKERS
NON-SELECTIVE CALCIUM CHANNEL BLOCKERS
(N06A) ANTIDEPRESSANTS
ANTIDEPRESSANTS
(N05B) ANXIOLYTICS
ANXIOLYTICS
Population studied

Short description of the study population

The study population involved pregnant women aged 12-50 years and their offspring identified from the SIDIAP database during the study period of 2011 to 2020.
Inclusion criteria:
 Women from 12-50 years
 Women identified with a pregnancy code during the study period (2011-2020)
 Women with at least one visit registered in primary care/ASSIR during the study period

Age groups

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

200000
Study design details

Main study objective

a) To analyse drug use during pregnancy b) To analyse drug use during breastfeeding c) To analyse diagnoses in the offspring of mothers with drug exposure during pregnancy and breastfeeding d) To analyse SARS-Co-V2 infection in pregnant women

Data analysis plan

All processes of data management and statistical analysis will be carried out using statistical package R 3.3 (2016). At the exploratory level, the demographic data and baseline characteristics of the study population will be described using relative and absolute frequencies for the categorical and mean variables, standard or median deviation and interquartile range for the continuous variables. In the bivariate analysis, we will consider the Chi-square test or the Fischer exact test for categorical variables and the Student t test or Mann-Whitney U test for continuous variables according to their distribution. The evaluation of mothers’ drugs exposures and the risk of diseases and congenital outcomes in their offspring will be carried out by means of multiple logistic regression models or proportional risk models (Cox). The adjustment for risk factors will be determined based on the characteristics of the study population.