Description Module
The Description Module contains narrative descriptions of the clinical trial, including a brief summary and detailed description. These descriptions provide important information about the study's purpose, methodology, and key details in language accessible to both researchers and the general public.
Description Module path is as follows:
Study -> Protocol Section -> Description Module
Description Module
Ignite Creation Date:
2025-12-26 @ 11:07 AM
Ignite Modification Date:
2025-12-26 @ 11:07 AM
NCT ID:
NCT06187012
Brief Summary:
The purpose of this study is to understand more about why women who have had hypertensive pregnancies may be at increased risk of high blood pressure and why these women are often at increased risk of heart and blood vessel disease later in life.
Detailed Description:
Women who experience high blood pressure during pregnancy are at increased risk of developing cardiac and vascular diseases later in life. They show changes in their heart, brain, and blood vessels long before they develop high blood pressure. The investigators therefore think that these changes develop slowly over the course of the life of the woman and establish their risk of later disease.
Through better understanding of the pattern of changes across multiple parts of the body over extended periods of time, the investigators aim to identify how advanced the underlying disease is for an individual and how the disease is likely to develop over the next few years. By comparing the rate of change across different parts of the body, the investigators can examine how one area affects another.
Data including images of the heart, brain and blood vessels will be acquired in women 10 to 25 years after their pregnancy. The initial analysis will focus on assessing differences between women who have had a normotensive pregnancy and those who have had a hypertensive pregnancy, both at a single timepoint and in changes within individuals over time.
This dataset will then be used in conjunction with previously acquired data in women who have experienced a hypertensive pregnancy to find out how patterns emerge across the whole body. The investigators will subsequently combine information from different measures at the same time and use the machine learning models to learn the patterns of change that occur as a person progresses from a healthy to a diseased state.
This will allow the researchers to identify patterns of hypertensive disease development and it may open doors to better interventions and therapies tailored towards individuals.
Study:
NCT06187012
Study Brief:
Protocol Section:
NCT06187012