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A cost-effectiveness analysis of genomic sequencing in a prospective versus historical cohort of complex pediatric patients

Authors :
Melissa Martyn
Zornitza Stark
George McGillivray
Alison Yeung
Sebastian Lunke
Callum McEwan
Dean Phelan
Susan M. White
Yael Prawer
Giulia M Valente
Clara Gaff
Ilias Goranitis
Yana Smagarinsky
Lilian Downie
Martin B. Delatycki
Anna Jarmolowicz
Gemma R Brett
Natasha J Brown
Smitha Kumble
Ravi Savarirayan
Matthew Regan
Chloe A Stutterd
Tiong Yang Tan
Matthew F. Hunter
Rachel Stapleton
Natalie B Tan
Belinda Chong
Source :
Genetics in Medicine. 22:1986-1993
Publication Year :
2020
Publisher :
Elsevier BV, 2020.

Abstract

Purpose Cost-effectiveness evaluations of first-line genomic sequencing (GS) in the diagnosis of children with genetic conditions are limited by the lack of well-defined comparative cohorts. We sought to evaluate the cost-effectiveness of early GS in pediatric patients with complex monogenic conditions compared with a matched historical cohort. Methods Data, including investigation costs, were collected in a prospective cohort of 92 pediatric patients undergoing singleton GS over an 18-month period (2016-2017) with two of the following: a condition with high mortality, multisystem disease involving three or more organs, or severe limitation of daily function. Comparative data were collected in a matched historical cohort who underwent traditional investigations in the years 2012-2013. Results GS yielded a diagnosis in 42% while traditional investigations yielded a diagnosis in 23% (p = 0.003). A change in management was experienced by 74% of patients diagnosed following GS, compared with 32% diagnosed following traditional investigations. Singleton GS at a cost of AU$3100 resulted in a mean saving per person of AU$3602 (95% confidence interval [CI] AU$2520-4685). Cost savings occurred across all investigation subtypes and were only minimally offset by clinical management costs. Conclusion GS in complex pediatric patients saves significant costs and doubles the diagnostic yield of traditional approaches.

Details

ISSN :
10983600
Volume :
22
Database :
OpenAIRE
Journal :
Genetics in Medicine
Accession number :
edsair.doi.dedup.....db3b5584f502c895ecc5d1379b61babc
Full Text :
https://doi.org/10.1038/s41436-020-0929-8