Early cost-utility analysis of general and cerebrospinal fluid-specific Alzheimer's disease biomarkers for hypothetical disease-modifying treatment decision.

Slides:



Advertisements
Similar presentations
MRI as a Potential Surrogate Marker in the ADCS MCI Trial
Advertisements

2015 Alzheimer's disease facts and figures Alzheimer's & Dementia: The Journal of the Alzheimer's Association Volume 11, Issue 3, Pages (March.
DIAGNOSTIC ACCURACY AND CONFIDENCE IN THE CLINICAL DETECTION OF COGNITIVE IMPAIRMENT IN EARLY-STAGE PARKINSON’S DISEASE  Kathryn A. Wyman-Chick, Phillip.
2017 Alzheimer's disease facts and figures
Value of cerebrospinal fluid visinin-like protein-1 (VILIP-1) for prediction of mild cognitive impairment progression to Alzheimer's disease  Mirjana Babić.
Volume 3, Issue 4, Pages (November 2017)
Discriminatory and predictive capabilities of enzyme-linked immunosorbent assay and multiplex platforms in a longitudinal Alzheimer’s disease study  Wesley.
Volume 15, Issue 8, Pages (December 2012)
Michael W. Lutz, Donna G. Crenshaw, Ann M. Saunders, Allen D. Roses 
Manuela Tondelli, Gordon K. Wilcock, Paolo Nichelli, Celeste A
Flora H. Duits, Niels D. Prins, Afina W. Lemstra, Yolande A. L
Cost-Effectiveness Analysis of Stereotactic Body Radiotherapy and Radiofrequency Ablation for Medically Inoperable, Early-Stage Non–Small Cell Lung Cancer 
Alzheimer's & Dementia: The Journal of the Alzheimer's Association
Alzheimer's & Dementia: The Journal of the Alzheimer's Association
Longitudinal evaluation of criteria for subjective cognitive decline and preclinical Alzheimer's disease in a memory clinic sample  Marie Eckerström,
The differential diagnosis of amnestic mild cognitive impairment and Alzheimer's disease dementia by hippocampal volume measurement with MR in a chinese.
2016 Alzheimer's disease facts and figures
Cerebrospinal fluid Aβ42 is the best predictor of clinical progression in patients with subjective complaints  Argonde C. van Harten, Pieter Jelle Visser,
Detecting functional decline from normal aging to dementia: Development and validation of a short version of the Amsterdam IADL Questionnaire  Roos J.
Christine Bredfeldt, Kristen Rice, Lisa Alecxih 
Alzheimer's & Dementia: The Journal of the Alzheimer's Association
SMARTPHONE TECHNOLOGY TO MEASURE HEALTH CHARACTERISTICS IN OFFSPRING OF PATIENTS WITH DEMENTIA: THE IVITALITY PROOF-OF- PRINCIPLE STUDY  Liselotte Wijsman,
Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring
Alzheimer's & Dementia: The Journal of the Alzheimer's Association
Application of Resource Utilization in Dementia (RUD) instrument in a global setting  Anders Wimo, Anders Gustavsson, Linus Jönsson, Bengt Winblad, Ming-Ann.
The global prevalence of dementia: A systematic review and metaanalysis  Martin Prince, Renata Bryce, Emiliano Albanese, Anders Wimo, Wagner Ribeiro, Cleusa.
A multinational study distinguishing Alzheimer's and healthy patients using cerebrospinal fluid tau/Aβ42 cutoff with concordance to amyloid positron emission.
Recommendations for cerebrospinal fluid Alzheimer's disease biomarkers in the diagnostic evaluation of mild cognitive impairment  Sanna-Kaisa Herukka,
Volume 2, Issue 1, Pages (January 2016)
Early diagnosis of mild cognitive impairment and Alzheimer's disease based on salivary lactoferrin  Eva Carro, Fernando Bartolomé, Félix Bermejo-Pareja,
Imaging AD Progression Amyloid Imaging Agents.
Early Dementia Distinguishing AD From MCI
Millie D. Long, Bruce E. Sands 
Bart S. Ferket, MD, PhD, Jonathan M
2017 Alzheimer's disease facts and figures
Identifying and validating biomarkers for Alzheimer's disease
2017 Alzheimer's disease facts and figures
Identifying and validating biomarkers for Alzheimer's disease
Fusion of deep learning models of MRI scans, Mini–Mental State Examination, and logical memory test enhances diagnosis of mild cognitive impairment  Shangran.
Postoperative delirium portends descent to dementia
Biomarker Modeling of Alzheimer’s Disease
Keith S. Goldfeld, DrPH, MS, MPA, Mary Beth Hamel, MD, MPH, Susan L
Tharick A. Pascoal, Sulantha Mathotaarachchi, Monica Shin, Andrea L
Toward defining the preclinical stages of Alzheimer’s disease: Recommendations from the National Institute on Aging-Alzheimer's Association workgroups.
Valuing innovative endoscopic techniques: per-oral endoscopic myotomy for the management of achalasia  Eric D. Shah, MD, MBA, Andrew C. Chang, MD, Ryan.
Prevalence and incidence of clinically diagnosed Alzheimer's disease dementia from 1994 to 2012 in a population study  Kumar B. Rajan, Jennifer Weuve,
Reply to the Letter to the Editor—Clinical prediction rules used to rule out endocarditis must be assessed against a sensitive reference standard  A.D.
Manjula Kurella Tamura, Kristine Yaffe  Kidney International 
Application of Resource Utilization in Dementia (RUD) instrument in a global setting  Anders Wimo, Anders Gustavsson, Linus Jönsson, Bengt Winblad, Ming-Ann.
L.A. Steiner, L. Hauenstein, W. Ruppen, K.F. Hampl, M.D. Seeberger 
Clifford R. Jack, Heather J. Wiste, Stephen D. Weigand, Terry M
Volume 134, Issue 2, Pages (August 2008)
The validity of the Memory Alteration Test and the Test Your Memory test for community- based identification of amnestic mild cognitive impairment  Seline.
Prevalence and incidence of clinically diagnosed Alzheimer's disease dementia from 1994 to 2012 in a population study  Kumar B. Rajan, Jennifer Weuve,
Systematic reviews and meta-analyses of diagnostic test accuracy
LIFESPAN OF ONE FOCUSED ULTRASOUND MEDIATED BLOOD-BRAIN BARRIER TREATMENT IN A MOUSE MODEL OF ALZHEIMER'S DISEASE  Charissa Poon, Kullervo Hynynen  Alzheimer's.
Summary of the evidence on modifiable risk factors for cognitive decline and dementia: A population-based perspective  Matthew Baumgart, Heather M. Snyder,
Dementia and Cerebrovascular Disease
A 22-single nucleotide polymorphism Alzheimer's disease risk score correlates with family history, onset age, and cerebrospinal fluid Aβ42  Kristel Sleegers,
Clopidogrel versus aspirin for secondary prophylaxis of vascular events: a cost- effectiveness analysis  Mark D. Schleinitz, MS, MD, J.Peter Weiss, MS,
Massimo S. Fiandaca, Mark E. Mapstone, Amrita K. Cheema, Howard J
Linus Jönsson, Pei-Jung Lin, Ara S. Khachaturian 
Added value of 11C-PiB-PET imaging in the diagnosis of Alzheimer's disease  Kristian Frederiksen, Anne-Mette Hejl, Ian Law, Steen Hasselbalch, Gunhild.
Alzheimer's & Dementia: The Journal of the Alzheimer's Association
2018 Alzheimer's disease facts and figures
Intersite variability of CSF Alzheimer’s disease biomarkers in clinical setting  Julien Dumurgier, Olivier Vercruysse, Claire Paquet, Stéphanie Bombois,
Cognitive changes and dementia risk after traumatic brain injury: Implications for aging military personnel  Andrea S. Vincent, Tresa M. Roebuck-Spencer,
Suzanne E. Schindler, Julia D. Gray, Brian A
Racial and ethnic estimates of Alzheimer's disease and related dementias in the United States (2015–2060) in adults aged ≥65 years  Kevin A. Matthews,
CSF biomarkers of Alzheimer's disease concord with amyloid-β PET and predict clinical progression: A study of fully automated immunoassays in BioFINDER.
Presentation transcript:

Early cost-utility analysis of general and cerebrospinal fluid-specific Alzheimer's disease biomarkers for hypothetical disease-modifying treatment decision in mild cognitive impairment  Ron L.H. Handels, Manuela A. Joore, An Tran-Duy, Anders Wimo, Claire A.G. Wolfs, Frans R.J. Verhey, Johan L. Severens  Alzheimer's & Dementia: The Journal of the Alzheimer's Association  Volume 11, Issue 8, Pages 896-905 (August 2015) DOI: 10.1016/j.jalz.2015.02.009 Copyright © 2015 The Alzheimer's Association Terms and Conditions

Fig. 1 General model structure for the incremental net monetary benefit analysis reflecting the current practice strategy and the “verify AD” strategy. The strategy ‘rule-out AD’ was not reflected. This strategy is identical to “verify AD”, except that CSF is performed after clinical practice result TAD− instead of TAD+. The perfect test strategy for room for improvement analysis is identical to “verify AD”, except that a perfect test is performed both after clinical practice TAD+ and after the TAD− result. Abbreviations: AD, Alzheimer's disease; CSF, cerebrospinal fluid; Dem < death = the time to dementia conversion is estimated lower than the time to death; NDD, neurodegenerative disease; TAD+, result of test workup indicates AD positive; TAD−, result of test workup indicates AD negative; TTdem, time to dementia; t, time in years. Alzheimer's & Dementia: The Journal of the Alzheimer's Association 2015 11, 896-905DOI: (10.1016/j.jalz.2015.02.009) Copyright © 2015 The Alzheimer's Association Terms and Conditions

Fig. 2 (A) Left: Incremental net monetary benefit (NMB, €) of the “verify AD” strategy (i.e., a CSF test was performed if the current practice diagnostic workup was AD positive). The incremental NMB was drawn in a Receiver Operator Characteristic plane for each combination of sensitivity (ranging from 0.50 to 0.77) and specificity (ranging from 0.68 to 1) at a willingness to pay of €80,000 ($103,200). (B) Right: Results of varying the fixed parameters in a univariate sensitivity analysis relative to the base case scenario. The base case scenario consisted of DMT costs = €5853 ($7553) and DMT efficacy = 0.5, AD prevalence = 49%, CSF costs = €211 ($272), disutility FP and FN only first MCI year, DMT side effects disutility = 0.05. The dotted black line in the left and right graph represents the specific combinations of minimal diagnostic sensitivity and specificity at which the CSF intervention was cost-effective in the base case scenario and thus had a positive incremental NMB. These dotted lines correspond to each other in both graphs. Abbreviations: NMB, net monetary benefit; AD, Alzheimer's disease; CSF, cerebrospinal fluid; DMT, disease-modifying treatment; FP, false positive; FN, false negative; MCI, mild cognitive impairment. Alzheimer's & Dementia: The Journal of the Alzheimer's Association 2015 11, 896-905DOI: (10.1016/j.jalz.2015.02.009) Copyright © 2015 The Alzheimer's Association Terms and Conditions

Fig. 3 (A) Left: Incremental net monetary benefit (NMB, €) of the “rule-out AD” strategy (i.e., a CSF test was performed if the current practice diagnostic workup was AD negative). The incremental NMB was drawn in a Receiver Operator Characteristic plane for each combination of sensitivity (ranging from 0.77 to 1) and specificity (ranging from 0.50 to 0.68) at a willingness to pay of €80,000 ($103,200). (B) Right: Results of varying the fixed parameters in a univariate sensitivity analysis relative to the base case scenario. The base case scenario consisted of DMT costs = €5853 ($7553) and DMT efficacy = 0.5, AD prevalence = 49%, CSF costs = €211 ($272), disutility FP and FN only first MCI year, DMT side effects disutility = 0.05. The dotted black line in the left and right graph represents the specific combinations of minimal diagnostic sensitivity specificity at which the CSF intervention was cost-effective in the base case scenario and thus had a positive incremental NMB. These dotted lines correspond to each other in the both graphs. Abbreviations: NMB, net monetary benefit; AD, Alzheimer's disease; CSF, cerebrospinal fluid; DMT, disease-modifying treatment; FP, false positive; FN, false negative; MCI, mild cognitive impairment. Alzheimer's & Dementia: The Journal of the Alzheimer's Association 2015 11, 896-905DOI: (10.1016/j.jalz.2015.02.009) Copyright © 2015 The Alzheimer's Association Terms and Conditions

Fig. 4 (A) Left: Incremental NMB (€) of (1) the intervention strategy where a biomarker was performed if the current practice diagnosis was AD positive (verify AD) in the bottom right quadrant and (2) the intervention strategy where a biomarker was performed if the current practice diagnosis was AD negative (rule-out AD) in the left top quadrant. The black dot represents the current practice diagnostic situation (i.e., control strategy). The axes present the relative sensitivity and specificity change of predicting DMT response due to an AD biomarker relative to current practice. The right top represents a situation with both improved sensitivity and improved specificity, the left bottom quadrant represents both decreased sensitivity and decreased specificity. These scenarios fell outside the scope of this article. (B) Right: Results of varying the fixed parameters from the base case scenario (base case DMT costs = €5853 ($7553) and DMT efficacy = 0.5, AD prevalence = 49%, biomarker costs = €211 ($272), disutility FP and FN only first MCI year, DMT side effects disutility = 0.05) in a univariate sensitivity analysis. The intervention strategy is cost-effective at all combinations of sensitivity and specificity at the right top area of each line, and not cost-effective at the left bottom area of each line. The dotted black lines in the left and right graph represent the specific combinations of minimal sensitivity and minimal specificity at which the biomarker intervention was cost-effective in the base case scenario and thus had at a positive incremental NMB. These lines correspond to each other. Abbreviations: NMB, net monetary benefit; AD, Alzheimer's disease; DMT, disease-modifying treatment; FP, false positive; FN, false negative; MCI, mild cognitive impairment. Alzheimer's & Dementia: The Journal of the Alzheimer's Association 2015 11, 896-905DOI: (10.1016/j.jalz.2015.02.009) Copyright © 2015 The Alzheimer's Association Terms and Conditions