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Genomic testing for suspected monogenic kidney disease in children and adults: A health economic evaluation.
Wu, You; Jayasinghe, Kushani; Stark, Zornitza; Quinlan, Catherine; Patel, Chirag; McCarthy, Hugh; Mallawaarachchi, Amali C; Kerr, Peter G; Alexander, Stephen; Mallett, Andrew J; Goranitis, Ilias.
Afiliación
  • Wu Y; Health Economics Unit, Centre for Health Policy, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia; Australian Genomics Health Alliance, Melbourne, VIC, Australia; Murdoch Children's Research Institute, Melbourne, VIC, Australia.
  • Jayasinghe K; Murdoch Children's Research Institute, Melbourne, VIC, Australia; Department of Nephrology, Monash Medical Centre, Melbourne, Australia; Monash University, Melbourne, Australia; The KidGen Collaborative, Australian Genomics Health Alliance, Melbourne, Australia.
  • Stark Z; Australian Genomics Health Alliance, Melbourne, VIC, Australia; Victorian Clinical Genetics Services, Murdoch Children's Research Institute, Melbourne, Australia; Department of Pediatrics, University of Melbourne, Melbourne, Australia.
  • Quinlan C; Murdoch Children's Research Institute, Melbourne, VIC, Australia; The KidGen Collaborative, Australian Genomics Health Alliance, Melbourne, Australia; Department of Pediatrics, University of Melbourne, Melbourne, Australia; Department of Pediatric Nephrology, Royal Children's Hospital, Melbourne, Au
  • Patel C; The KidGen Collaborative, Australian Genomics Health Alliance, Melbourne, Australia; Genetic Health Queensland, Royal Brisbane and Women's Hospital, Brisbane, Australia.
  • McCarthy H; Centre for Kidney Research, Children's Hospital at Westmead, Sydney, Australia; Sydney Children's Hospitals Network, Sydney, Australia; Faculty of Medicine, The University of Sydney, Sydney, Australia.
  • Mallawaarachchi AC; Department of Medical Genetics, Royal Prince Alfred Hospital, Sydney, Australia; Garvan Institute of Medical Research, Sydney, Australia.
  • Kerr PG; Department of Nephrology, Monash Medical Centre, Melbourne, Australia; Monash University, Melbourne, Australia.
  • Alexander S; Centre for Kidney Research, Children's Hospital at Westmead, Sydney, Australia; Sydney Children's Hospitals Network, Sydney, Australia; Faculty of Medicine, The University of Sydney, Sydney, Australia.
  • Mallett AJ; The KidGen Collaborative, Australian Genomics Health Alliance, Melbourne, Australia; Institute for Molecular Bioscience and Faculty of Medicine, The University of Queensland, Brisbane, Australia; Department of Renal Medicine, Townsville University Hospital, Townsville, Australia; College of Medicine
  • Goranitis I; Health Economics Unit, Centre for Health Policy, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia; Australian Genomics Health Alliance, Melbourne, VIC, Australia; Murdoch Children's Research Institute, Melbourne, VIC, Australia; The KidGen Collabor
Genet Med ; 25(11): 100942, 2023 11.
Article en En | MEDLINE | ID: mdl-37489581
PURPOSE: To assess the relative cost-effectiveness of genomic testing compared with standard non-genomic diagnostic investigations in patients with suspected monogenic kidney disease from an Australian health care system perspective. METHODS: Diagnostic and clinical information was used from a national cohort of 349 participants. Simulation modelling captured diagnostic, health, and economic outcomes during a time horizon from clinical presentation until 3 months post-test results based on the outcome of cost per additional diagnosis and lifetime horizon based on cost per quality-adjusted life-year (QALY) gained. RESULTS: Genomic testing was Australian dollars (AU$) 1600 more costly per patient and led to an additional 27 diagnoses out of a 100 individuals tested, resulting in an incremental cost-effectiveness ratio of AU$5991 per additional diagnosis. Using a lifetime horizon, genomic testing resulted in an additional cost of AU$438 and 0.04 QALYs gained per individual compared with standard diagnostic investigations, corresponding to an incremental cost-effectiveness ratio of AU$10,823 per QALY gained. Sub-group analyses identified that the results were largely driven by the cost-effectiveness in glomerular diseases. CONCLUSION: Based on established or expected thresholds of cost-effectiveness, our evidence suggests that genomic testing is very likely to be cost saving for individuals with suspected glomerular diseases, whereas no evidence of cost-effectiveness was found for non-glomerular diseases.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Pruebas Genéticas Tipo de estudio: Health_economic_evaluation Límite: Adult / Child / Humans País/Región como asunto: Oceania Idioma: En Revista: Genet Med Asunto de la revista: GENETICA MEDICA Año: 2023 Tipo del documento: Article País de afiliación: Australia

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Pruebas Genéticas Tipo de estudio: Health_economic_evaluation Límite: Adult / Child / Humans País/Región como asunto: Oceania Idioma: En Revista: Genet Med Asunto de la revista: GENETICA MEDICA Año: 2023 Tipo del documento: Article País de afiliación: Australia