Literature DB >> 25095726

Health economic evaluation of plasma oxysterol screening in the diagnosis of Niemann-Pick Type C disease among intellectually disabled using discrete event simulation.

Clara D M van Karnebeek1, Tima Mohammadi2, Nicole Tsao3, Graham Sinclair4, Sandra Sirrs5, Sylvia Stockler6, Carlo Marra7.   

Abstract

BACKGROUND: Recently a less invasive method of screening and diagnosing Niemann-Pick C (NP-C) disease has emerged. This approach involves the use of a metabolic screening test (oxysterol assay) instead of the current practice of clinical assessment of patients suspected of NP-C (review of medical history, family history and clinical examination for the signs and symptoms). Our objective is to compare costs and outcomes of plasma oxysterol screening versus current practice in diagnosis of NP-C disease among intellectually disabled (ID) patients using decision-analytic methods.
METHODS: A discrete event simulation model was conducted to follow ID patients through the diagnosis and treatment of NP-C, forecast the costs and effectiveness for a cohort of ID patients and compare the outcomes and costs in two different arms of the model: plasma oxysterol screening and routine diagnosis procedure (anno 2013) over 5 years of follow up. Data from published sources and clinical trials were used in simulation model. Unit costs and quality-adjusted life-years (QALYs) were discounted at a 3% annual rate in the base case analysis. Deterministic and probabilistic sensitivity analyses were conducted.
RESULTS: The outcomes of the base case model showed that using plasma oxysterol screening for diagnosis of NP-C disease among ID patients is a dominant strategy. It would result in lower total cost and would slightly improve patients' quality of life. The average amount of cost saving was $3642 CAD and the incremental QALYs per each individual ID patient in oxysterol screening arm versus current practice of diagnosis NP-C was 0.0022 QALYs. Results of sensitivity analysis demonstrated robustness of the outcomes over the wide range of changes in model inputs.
CONCLUSION: Whilst acknowledging the limitations of this study, we conclude that screening ID children and adolescents with oxysterol tests compared to current practice for the diagnosis of NP-C is a dominant strategy with clinical and economic benefits. The less costly, more sensitive and specific oxysterol test has potential to save costs to the healthcare system while improving patients' quality of life and may be considered as a routine tool in the NP-C diagnosis armamentarium for ID. Further research is needed to elucidate its effectiveness in patients presenting characteristics other than ID in childhood and adolescence.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Diagnosis; Filipin staining; Global developmental delay; Inborn error of metabolism; Intellectual disability; NPC1; NPC2; Oxysterol; Screening; Treatment

Mesh:

Substances:

Year:  2014        PMID: 25095726     DOI: 10.1016/j.ymgme.2014.07.004

Source DB:  PubMed          Journal:  Mol Genet Metab        ISSN: 1096-7192            Impact factor:   4.797


  7 in total

1.  Using Active Learning for Speeding up Calibration in Simulation Models.

Authors:  Mucahit Cevik; Mehmet Ali Ergun; Natasha K Stout; Amy Trentham-Dietz; Mark Craven; Oguzhan Alagoz
Journal:  Med Decis Making       Date:  2015-10-15       Impact factor: 2.583

2.  Development of a bile acid-based newborn screen for Niemann-Pick disease type C.

Authors:  Xuntian Jiang; Rohini Sidhu; Laurel Mydock-McGrane; Fong-Fu Hsu; Douglas F Covey; David E Scherrer; Brian Earley; Sarah E Gale; Nicole Y Farhat; Forbes D Porter; Dennis J Dietzen; Joseph J Orsini; Elizabeth Berry-Kravis; Xiaokui Zhang; Janice Reunert; Thorsten Marquardt; Heiko Runz; Roberto Giugliani; Jean E Schaffer; Daniel S Ory
Journal:  Sci Transl Med       Date:  2016-05-04       Impact factor: 17.956

3.  Plasma lysosphingomyelin demonstrates great potential as a diagnostic biomarker for Niemann-Pick disease type C in a retrospective study.

Authors:  Richard W D Welford; Marco Garzotti; Charles Marques Lourenço; Eugen Mengel; Thorsten Marquardt; Janine Reunert; Yasmina Amraoui; Stefan A Kolb; Olivier Morand; Peter Groenen
Journal:  PLoS One       Date:  2014-12-05       Impact factor: 3.240

Review 4.  Discrete-Event Simulation Modeling in Healthcare: A Comprehensive Review.

Authors:  Jesús Isaac Vázquez-Serrano; Rodrigo E Peimbert-García; Leopoldo Eduardo Cárdenas-Barrón
Journal:  Int J Environ Res Public Health       Date:  2021-11-22       Impact factor: 3.390

5.  Secondary biogenic amine deficiencies: genetic etiology, therapeutic interventions, and clinical effects.

Authors:  Maja Tarailo-Graovac; Gabriella A Horvath; Clara D van Karnebeek; Ingrid Blydt-Hansen; Allison M Matthews; Vladimir Avramovic; Magda Price; Britt Drogemoller; Casper Shyr; Jessica Lee; Jill Mwenifumbo; Aisha Ghani; Sylvia Stockler; Jan M Friedman; Anna Lehman; Colin J Ross; Wyeth W Wasserman
Journal:  Neurogenetics       Date:  2021-07-02       Impact factor: 2.660

Review 6.  Application of discrete event simulation in health care: a systematic review.

Authors:  Xiange Zhang
Journal:  BMC Health Serv Res       Date:  2018-09-04       Impact factor: 2.655

Review 7.  Recommendations for patient screening in ultra-rare inherited metabolic diseases: what have we learned from Niemann-Pick disease type C?

Authors:  María-Jesús Sobrido; Peter Bauer; Tom de Koning; Thomas Klopstock; Yann Nadjar; Marc C Patterson; Matthis Synofzik; Chris J Hendriksz
Journal:  Orphanet J Rare Dis       Date:  2019-01-21       Impact factor: 4.123

  7 in total

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