Detection of fetal cardiac anomalies: is increasing the number of cardiac views cost-effective?

Clicks: 202
ID: 80958
2020
To perform a cost-effectiveness analysis of prenatal screening strategies for major congenital heart disease (CHD).A decision-analytic model comparing 4 screening strategies-3 views, 5 views, 5 axial views, and 6 views-identified fetuses with major CHD in a theoretical cohort of 4,000,000 births. Outcomes related to neonatal mortality and neuro-developmental disability were calculated. The analysis was performed from a healthcare system perspective with a cost-effectiveness threshold set at $100,000 per quality-adjusted life year (QALY). Base case, one-way sensitivity analysis, and Monte Carlo simulation were performed.In our base-case model, 5-axial view screening was the optimal strategy. It detected 3520 more CHDs and resulted in 259 fewer children with neuro-developmental disability, 40 fewer neonatal deaths, and slightly higher costs compared to screening with 3 views. Screening with 6 views was more effective, but also cost more than 5 axial views, and had an incremental cost of $490,023 /QALY, which was over the willingness-to-pay threshold. The final strategy, 5 views, was more costly and less effective compared to the other three strategies. The data were robust when tested with Monte Carlo and one-way sensitivity analysis.Although current guidelines recommend 3 views as the minimum strategy for detecting CHD during the mid-trimester anatomy scan, 5 axial views is the cost-effective strategy that may lead to better outcomes than 3-view screening. This article is protected by copyright. All rights reserved.
Reference Key
bak2020detectionultrasound Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Bak, Geske S;Shaffer, Brian L;Madriago, Erin;Allen, Allison;Kelly, Brendan;Caughey, Aaron B;Pereira, Leonardo;
Journal Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology
Year 2020
DOI 10.1002/uog.21977
URL
Keywords

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.