4.6 Article

Cost-Effectiveness of Targeted Exome Analysis as a Diagnostic Test in Glomerular Diseases

Journal

KIDNEY INTERNATIONAL REPORTS
Volume 6, Issue 11, Pages 2850-2861

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.ekir.2021.08.028

Keywords

cost-effectiveness; exome sequencing; genetic kidney disease; health economic analysis

Funding

  1. Melbourne Genomics Health Alliance
  2. State Government of Victoria
  3. Australian Genomics Health Alliance
  4. National Health and Medical Research Council [1113531]
  5. Medical Research Future Fund
  6. Royal Australian College of Physicians Jacquot Research Entry Scholarship
  7. Australian Government Research Training Program Scholarship

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Early exome sequencing with targeted analysis was effective for diagnosing monogenic kidney disease, leading to substantial cost savings in children.
Background: Despite the emergence of diagnostic and clinical utility evidence in nephrology, publicly funded access to genomic testing is restricted in most health care systems. To establish genomic sequencing as a clinical test, an evaluation of cost-effectiveness is urgently required. Methods: An economic evaluation, informed by a primary clinical study and available clinical evidence and guidelines in nephrology, was performed to evaluate the cost-effectiveness and optimal timing of exome sequencing (ES) in adults and children with suspected monogenic glomerular diseases compared with nongenomic investigations (NGIs). Six diagnostic strategies reflecting current practice and recommended models of care in Australia were modeled: (i) NGIs, (ii) late gene panel followed by ES, (iii) late ES, (iv) early gene panel, (v) early gene panel followed by ES, and (vi) early ES. Results: ES with targeted analysis achieved a diagnosis in 23 of 63 (36.5%) adults and 10 of 24 (41.6%) children. NGIs were estimated to diagnose 4.0% of children, with an average estimated cost of AU$6120 per child. Integrating ES as a first-line test in children was cost saving, with an incremental cost saving of AU$3230 per additional diagnosis compared with NGIs. In adults, NGIs was estimated to diagnose 8% of patients, with an average estimated cost of AU$1830 per person. In adults, integrating ES early resulted in an incremental cost per additional diagnosis of AU$5460 relative to NGIs. Conclusions: Early ES with targeted analysis was effective for diagnosing monogenic kidney disease, with substantial cost savings in children.

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