Cost-effectiveness of cerebrospinal biomarkers for the diagnosis of Alzheimer's disease

被引:26
|
作者
Lee, Spencer A. W. [1 ,2 ]
Sposato, Luciano A. [3 ,4 ,5 ]
Hachinski, Vladimir [3 ,6 ]
Cipriano, Lauren E. [1 ,6 ]
机构
[1] Western Univ, Ivey Business Sch, 1255 Western Rd, London, ON N6G 0N1, Canada
[2] Univ Coll Cork, Sch Med, Coll Rd, Cork T12 YN60, Ireland
[3] Western Univ, London Hlth Sci Ctr, Dept Clin Neurol Sci, London, ON N6A 5A5, Canada
[4] Western Univ, Stroke Dementia & Heart Dis Lab, London, ON N6A 5A5, Canada
[5] Western Univ, Dept Anat & Cell Biol, London, ON N6A 5A5, Canada
[6] Western Univ, Schulich Sch Med & Dent, Dept Biostat & Epidemiol, London, ON N6A 5C1, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Alzheimer's disease; Cost-effectiveness analysis; Cerebrospinal fluid biomarkers; Neuroimaging; NURSING-HOME PLACEMENT; TRANSITION-PROBABILITIES; ECONOMIC-EVALUATION; RESEARCH CRITERIA; DONEPEZIL; DEMENTIA; MODERATE; CARE; POPULATION; SAMPLE;
D O I
10.1186/s13195-017-0243-0
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Background: Accurate and timely diagnosis of Alzheimer's disease (AD) is important for prompt initiation of treatment in patients with AD and to avoid inappropriate treatment of patients with false-positive diagnoses. Methods: Using a Markov model, we estimated the lifetime costs and quality-adjusted life-years (QALYs) of cerebrospinal fluid biomarker analysis in a cohort of patients referred to a neurologist or memory clinic with suspected AD who remained without a definitive diagnosis of AD or another condition after neuroimaging. Parametric values were estimated from previous health economic models and the medical literature. Extensive deterministic and probabilistic sensitivity analyses were performed to evaluate the robustness of the results. Results: At a 12.7% pretest probability of AD, biomarker analysis after normal neuroimaging findings has an incremental cost-effectiveness ratio (ICER) of $ 11,032 per QALY gained. Results were sensitive to the pretest prevalence of AD, and the ICER increased to over $ 50,000 per QALY when the prevalence of AD fell below 9%. Results were also sensitive to patient age (biomarkers are less cost-effective in older cohorts), treatment uptake and adherence, biomarker test characteristics, and the degree to which patients with suspected AD who do not have AD benefit from AD treatment when they are falsely diagnosed. Conclusions: The cost-effectiveness of biomarker analysis depends critically on the prevalence of AD in the tested population. In general practice, where the prevalence of AD after clinical assessment and normal neuroimaging findings may be low, biomarker analysis is unlikely to be cost-effective at a willingness-to-pay threshold of $ 50,000 per QALY gained. However, when at least 1 in 11 patients has AD after normal neuroimaging findings, biomarker analysis is likely cost-effective. Specifically, for patients referred to memory clinics with memory impairment who do not present neuroimaging evidence of medial temporal lobe atrophy, pretest prevalence of AD may exceed 15%. Biomarker analysis is a potentially cost-saving diagnostic method and should be considered for adoption in high-prevalence centers.
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页数:14
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