Background: Pregnancy in women with congenital heart disease (CHD) is associated with increased risk for maternal cardiac complications. Several risk stratification models are used to predict adverse cardiac outcome in women with CHD who become pregnant. This study was set up as an exploratory study to provide a head-tohead comparison of the 4 most commonly used models: CARPREG, CARPREG II and ZAHARA risk scores and mWHO risk classification. Methods and results: We randomly selected 100 women from the database of paediatric and congenital heart disease of the University Hospitals Leuven. Individual pregnancy risk scores were retrospectively calculated and summarized in a weighted average risk for each risk stratification model. To evaluate accuracy of each model, the weighted average risk was plotted against the actual observed number of "cardiac events" as defined in the respective risk models. Maternal adverse cardiac events occurred in 8% of our study population. Weighted average risks were plotted versus the observed number of events for each model: 10.1% versus 4.0% for CARPREG, 8.6% versus 5.0% for CARPREG II, 11.1% versus 8.0% for ZAHARA and 12.4% versus 8.0% for the mWHO classification. Conclusion: All risk models overestimated maternal cardiac risk. The ZAHARA risk model appeared to be a closer reflection of maternal risk in our cohort of CHD patients. More research on a larger study population is needed.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.