Quantifying and Describing the Natural History and Costs of Alzheimer's Disease and Effects of Hypothetical Interventions.

Alzheimer’s disease cost analysis cost effectiveness costs dementia disease-modifying treatment economics

Journal

Journal of Alzheimer's disease : JAD
ISSN: 1875-8908
Titre abrégé: J Alzheimers Dis
Pays: Netherlands
ID NLM: 9814863

Informations de publication

Date de publication:
2020
Historique:
pubmed: 12 5 2020
medline: 11 5 2021
entrez: 12 5 2020
Statut: ppublish

Résumé

A long-term horizon is necessary when the socioeconomic consequences and the potential effects of interventions in Alzheimer's disease (AD) are estimated. To illustrate the potential societal costs of AD across the disease continuum and to illustrate the potential cost-effectiveness of a hypothetical intervention with disease modifying treatment (DMT). Based on the Swedish dementia registry, a Markov model was used to simulate a virtual cohort of 100,000 people with mild cognitive impairment (MCI) due to AD (AD-MCI) in Sweden for 40 years starting at the age of 60. A simulated hypothetical intervention assumed a 25% reduction in progression rate during AD-MCI and mild AD-dementia. A comprehensive set of sensitivity analyses was included. The cumulative risk to develop dementia was 96%. The mean simulated survival was 19.0 years. The net present value for a person year with dementia was 252,843 SEK (about 29,500 US$). The cost effectiveness model illustrated how the hypothetical scenario of a 25% reduction in progression to AD-dementia would require 41 AD-MCI patients to be treated to prevent one case of AD-dementia (2,447 avoided AD-dementia cases of 100,000 with AD-MCI). Most scenarios illustrated hypothetical cost effectiveness (based on a willingness to pay level of 600,000 SEK (70,000 US$) per gained QALY), but not cost savings. Lifetime societal costs of AD are substantial. A future DMT may be potentially cost-effective given assumed treatment effects and costs, but cost savings are unlikely.

Sections du résumé

BACKGROUND
A long-term horizon is necessary when the socioeconomic consequences and the potential effects of interventions in Alzheimer's disease (AD) are estimated.
OBJECTIVES
To illustrate the potential societal costs of AD across the disease continuum and to illustrate the potential cost-effectiveness of a hypothetical intervention with disease modifying treatment (DMT).
METHODS
Based on the Swedish dementia registry, a Markov model was used to simulate a virtual cohort of 100,000 people with mild cognitive impairment (MCI) due to AD (AD-MCI) in Sweden for 40 years starting at the age of 60. A simulated hypothetical intervention assumed a 25% reduction in progression rate during AD-MCI and mild AD-dementia. A comprehensive set of sensitivity analyses was included.
RESULTS
The cumulative risk to develop dementia was 96%. The mean simulated survival was 19.0 years. The net present value for a person year with dementia was 252,843 SEK (about 29,500 US$). The cost effectiveness model illustrated how the hypothetical scenario of a 25% reduction in progression to AD-dementia would require 41 AD-MCI patients to be treated to prevent one case of AD-dementia (2,447 avoided AD-dementia cases of 100,000 with AD-MCI). Most scenarios illustrated hypothetical cost effectiveness (based on a willingness to pay level of 600,000 SEK (70,000 US$) per gained QALY), but not cost savings.
DISCUSSION
Lifetime societal costs of AD are substantial. A future DMT may be potentially cost-effective given assumed treatment effects and costs, but cost savings are unlikely.

Identifiants

pubmed: 32390617
pii: JAD191055
doi: 10.3233/JAD-191055
pmc: PMC7369101
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

891-902

Commentaires et corrections

Type : ErratumIn

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Auteurs

Anders Wimo (A)

Department of Neurobiology, Karolinska Institutet, Care Sciences and Society, Division of Neurogeriatrics, Stockholm, Sweden.
Centre for Research and Development, Uppsala University/County Council of Gävleborg, Gävle, Sweden.

Ron Handels (R)

Department of Neurobiology, Karolinska Institutet, Care Sciences and Society, Division of Neurogeriatrics, Stockholm, Sweden.
Department of Psychiatry and Neuropsychology, Maastricht University, Alzheimer Centre Limburg, School for Mental Health and Neurosciences, Maastricht, Netherlands.

Bengt Winblad (B)

Department of Neurobiology, Karolinska Institutet, Care Sciences and Society, Division of Neurogeriatrics, Stockholm, Sweden.

Christopher M Black (CM)

Merck & Co., Inc., Center for Observational and Real World Evidence (CORE), Kenilworth, NJ, USA.

Gunilla Johansson (G)

Department of Neurobiology, Karolinska Institutet, Care Sciences and Society, Division of Neurogeriatrics, Stockholm, Sweden.

Stina Salomonsson (S)

Merck Sharp and Dohme, Center for Observational and Real World Evidence (CORE), Stockholm, Sweden.

Maria Eriksdotter (M)

Department of Neurobiology, Karolinska Institutet, Care Sciences and Society, Division of Clinical Geriatrics, Stockholm, Sweden.
Theme Aging, Karolinska University Hospital, Huddinge, Sweden.

Rezaul K Khandker (RK)

Merck & Co., Inc., Center for Observational and Real World Evidence (CORE), Kenilworth, NJ, USA.

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