Visualizing risk modification of hypertensive disorders of pregnancy: development and validation of prediction model for personalized interpregnancy weight management.

ABSTRACT: The growing recognition of the importance of interpregnancy weight management in reducing hypertensive disorders of pregnancy (HDP) underscores the importance of effective preventive strategies. However, developing effective systems remains a challenge. We aimed to bridge this gap by constructing a prediction model. This study retrospectively analyzed the data of 1746 women who underwent two childbirths across 14 medical facilities, including both tertiary and primary facilities. Data from 2009 to 2019 were used to create a derivation cohort (n = 1746). A separate temporal-validation cohort was constructed by adding data between 2020 and 2024 (n = 365). Furthermore, the external-validation cohort was constructed using the data from another tertiary center between 2017 and 2023 (n = 340). W

SUBMITTER: Tano S 

PROVIDER: S-EPMC11879865 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature