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Research article summary:
Modeling the prevalence and incidence of Alzheimers disease and mild cognitive impairment.
Abstract Extract: A number of systems have been proposed for classifying older adults who suffer from cognitive impairment or decline but do not yet meet criteria for Alzheimers disease (AD). The classification, Mild Cognitive Impairment (MCI), has attracted much ... (Full abstract text below) Published 2002 Sep-Oct
in Journal: J Psychiatr Res
(Language : eng)
Full Pubmed Extract
This information was retrieved, real-time, on your behalf from the public area of the Pubmed website:
1. J Psychiatr Res.
2002 Sep-Oct;36(5):281-6
Modeling the prevalence and incidence of Alzheimer's disease and mild cognitive impairment.
Yesavage JA, O'Hara R, Kraemer H, Noda A, Taylor JL, Ferris S, Gély-Nargeot MC, Rosen A, Friedman L, Sheikh J, Derouesné C
Palo Alto Veterans Affairs Health Care System, 3801 Miranda Avenue, MC 151Y, Palo Alto, CA 94304, USA. yesavage@stanford.edu
A number of systems have been proposed for classifying older adults who suffer from cognitive impairment or decline but do not yet meet criteria for Alzheimer's disease (AD). The classification, Mild Cognitive Impairment (MCI), has attracted much attention. It uses relatively specific diagnostic criteria and individuals who meet these criteria appear to be at substantial risk for the development of AD. However, little data is available to define the prevalence of MCI in any age group. We propose a simple mathematical model for the progression of patients from Non-Affected (NA) to MCI to AD. This first-order Markov model defines the likely prevalence of MCI at specific ages. Primary assumptions of the model include an AD prevalence of 1% at age 60 increasing to 25% at age 85 and a conversion rate from MCI to AD of 10% constant across all ages considered. We used the best available information for our model and found (1) that the MCI prevalence increased from 1% at age 60 to 42% at age 85 and (2) that the conversion rate from NA to MCI increased from 1% per year at age 60 to 11% at age 85. In conclusion, this model allows estimation of prevalence of MCI and conversion from NA to MCI based upon known prevalences of AD, conversion rates of MCI to AD, and death rates. Due to its substantial prevalence, MCI may be an important target for screening and possible intervention.
PMID : 12127595 [PubMed - Indexed for MEDLINE]
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Full Author Information
| First Name | LastName | Initials |
| Jerome A | Yesavage | JA |
| Ruth | O'Hara | R |
| Helena | Kraemer | H |
| Art | Noda | A |
| Joy L | Taylor | JL |
| Steve | Ferris | S |
| Marie-Christine | Gély-Nargeot | MC |
| Allyson | Rosen | A |
| Leah | Friedman | L |
| Javaid | Sheikh | J |
| Christian | Derouesné | C |
Affiliation: Palo Alto Veterans Affairs Health Care System, 3801 Miranda Avenue, MC 151Y, Palo Alto, CA 94304, USA. yesavage@stanford.edu
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MESH categories and related page links
This article was linked to the MESH categories shown on the left below. The links on the right are related Memletics pages.
Category links from this article:- Age Distribution
- Aged
- Aged, 80 and over
- Alzheimer Disease - epidemiology
- Cognition Disorders - diagnosis, epidemiology
- Female
- Humans
- Incidence
- Male
- Markov Chains
- Middle Aged
- Neuropsychological Tests
- Prevalence
- Severity of Illness Index
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