Study type

Study topic

DiseaseĀ /health condition

Study type

Non-interventional study

Scope of the study

Assessment of risk minimisation measure implementation or effectiveness
Disease epidemiology

Data collection methods

Primary data collection
Non-interventional study

Non-interventional study design

Cohort
Study drug and medical condition

Medical condition to be studied

Pregnancy
SARS-CoV-2 test positive
Exposure during pregnancy
Stillbirth
Abortion spontaneous
Congenital anomaly
Foetal malformation
Pre-eclampsia
Foetal growth restriction
Population studied

Short description of the study population

The target study population consists of pregnant women, 18 years of age or older, tested for SARS-CoV-2 or with clinical confirmation of COVID-19, willing to provide information using the IRCEP website or mobile app. The rationale for including cases without a positive test is that in the worst-hit areas, where nucleic acid tests were scarce, epidemiological considerations and clinical symptoms (i.e., pneumonia, chest CT findings) sufficed to assign a diagnosis.
Inclusion criteria
1. Pregnant women or women that delivered or had a pregnancy loss within the last 180 days
2. Aged 18 years or older
3. Tested for SARS-CoV-2 or had clinical confirmation of COVID-19 between the last menstrual period (LMP) and delivery
4. Able and willing to sign the informed consent form agreeing to the conditions and requirements of the IRCEP, and
5. Willing to upload the minimum required data of the initial baseline questionnaire

Age groups

Adults (18 to < 46 years)

Special population of interest

Pregnant women

Estimated number of subjects

18000
Study design details

Main study objective

The International Registry of Coronavirus Exposure in Pregnancy (IRCEP) aims to describe the natural history of COVID-19 in pregnant women and to estimate the relative risk of major adverse obstetric and neonatal outcomes among women with varying degrees of severity and of timing of COVID-19 exposure and their offspring, respectively.

Outcomes

Multiple maternal, obstetric, neonatal, and infant outcomes.

Data analysis plan

There are two main data analyses: 1) a real-time descriptive surveillance that will report the COVID-19 characteristics and the frequency of outcomes in the exposed and control groups, and 2) hypothesis-based causal inference analyses that will investigate the potential effects of specific COVID-19 characteristics or treatments and will adjust through multivariate regression models or using propensity score (PS) matching to account for potential confounders, as appropriate.
Documents
Study, other information
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