Literature DB >> 34227670

Cost-effectiveness analysis of screening for first-degree relatives of patients with bicuspid aortic valve.

Idit Tessler1,2, Moshe Leshno3, Amir Shmueli1, Shoshana Shpitzen2,4, Ronen Durst2,4, Dan Gilon2,4.   

Abstract

AIMS: Bicuspid aortic valve (BAV) is the commonest congenital heart valve malformation, and is associated with life-threatening complications. Given the high heritability index of BAV, many experts recommend echocardiography screening for first-degree relatives (FDRs) of an index case. Here, we aim to evaluate the cost-effectiveness of such cascade screening for BAV. METHODS AND
RESULTS: Using a decision-analytic model, we performed a cost-effectiveness analysis of echocardiographic screening for FDRs of a BAV index case. Data on BAV probabilities and complications among FDRs were derived from our institution's BAV familial cohort and from the literature on population-based BAV cohorts with long-term follow-up. Health gain was measured as quality-adjusted life years (QALYs). Cost inputs were based on list prices and literature data. One-way and probabilistic sensitivity analyses were performed to account for uncertainty in the model's variables. Screening of FDRs was found to be the dominant strategy, being more effective and less costly than no screening, with savings of €644 and gains of 0.3 QALY. Results were sensitive throughout the range of the main model's variables, including the full range of reported BAV rates among FDRs across the literature. A gradual decrease of the incremental effect was found with the increase in screening age.
CONCLUSION: This economic evaluation model found that echocardiographic screening of FDRs of a BAV index case is not only clinically important but also cost-effective and cost-saving. Sensitivity analysis supported the model's robustness, suggesting its generalization.
© The Author(s) 2021. Published by Oxford University Press on behalf of the European Society of Cardiology.

Entities:  

Keywords:  Aortopathy; Bicuspid aortic valve; Cost-effectiveness; Decision analysis; Markov model; Outcome

Mesh:

Year:  2021        PMID: 34227670     DOI: 10.1093/ehjqcco/qcab047

Source DB:  PubMed          Journal:  Eur Heart J Qual Care Clin Outcomes        ISSN: 2058-1742


  2 in total

1.  Preventing Acute Aortic Dissections: The Power of Familial Screening and Risk Assessment.

Authors:  Alana C Cecchi; Maura L Boerio; Isabella Marin; Amélie Pinard; Dianna M Milewicz
Journal:  J Am Heart Assoc       Date:  2022-04-06       Impact factor: 6.106

Review 2.  Current state and future directions of genomic medicine in aortic dissection: A path to prevention and personalized care.

Authors:  Alana C Cecchi; Madeline Drake; Chrisanne Campos; Jake Howitt; Jonathan Medina; Scott M Damrauer; Sherene Shalhub; Dianna M Milewicz
Journal:  Semin Vasc Surg       Date:  2022-02-25       Impact factor: 1.222

  2 in total

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