Cost-effectiveness analysis of screening for first-degree relatives of patients with bicuspid aortic valve.
Aortopathy
Bicuspid aortic valve
Cost-effectiveness
Decision analysis
Markov model
Outcome
Journal
European heart journal. Quality of care & clinical outcomes
ISSN: 2058-1742
Titre abrégé: Eur Heart J Qual Care Clin Outcomes
Pays: England
ID NLM: 101677796
Informations de publication
Date de publication:
16 09 2021
16 09 2021
Historique:
received:
11
04
2021
revised:
29
06
2021
accepted:
04
07
2021
pubmed:
7
7
2021
medline:
30
3
2022
entrez:
6
7
2021
Statut:
ppublish
Résumé
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. 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. 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.
Identifiants
pubmed: 34227670
pii: 6316106
doi: 10.1093/ehjqcco/qcab047
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
447-457Commentaires et corrections
Type : CommentIn
Informations de copyright
© The Author(s) 2021. Published by Oxford University Press on behalf of the European Society of Cardiology.