Risk Score Development to Predict Postpartum Cardiovascular Disease Incorporating Pregnancy and Nonpregnancy Factors: A Canada-Wide Study.

ABSTRACT:

Background

Pregnancy events including severe maternal morbidity are associated with future cardiovascular disease (CVD), yet no models exist to identify at-risk individuals postpartum.

Objectives

The purpose of this study was to develop a risk score with likelihood ratios (LRs) predicting postpartum CVD based on pregnancy and nonpregnancy CVD risk factors.

Methods

Using national administrative hospitalization data from Canada 2008-2021, the authors randomly selected 1 delivery per individual aged 18-55 years without pre-existing CVD. Cox proportional hazards models were used to predict CVD hospitalization, following individuals from 43 days after delivery discharge until CVD, censoring at in-hospital noncardiovascular death, subsequent pregnancy, or end of study. Risk

SUBMITTER: Alcantara M 

PROVIDER: S-EPMC12828394 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature