Literature DB >> 18617740

Predictive value of rapid decline in mini mental state examination in clinical practice for prognosis in Alzheimer's disease.

Maria E Soto1, Sandrine Andrieu, Christelle Cantet, Emma Reynish, Pierre-Jean Ousset, Christophe Arbus, Sophie Gillette-Guyonnet, Fati Nourhashémi, Bruno Vellas.   

Abstract

BACKGROUND: Given the poorer prognosis of Alzheimer's disease (AD) patients with rapid cognitive decline (RCD), there is a need for a clinical assessment tool to detect these patients.
OBJECTIVE: To investigate if there is a Mini Mental State Examination (MMSE) threshold of decline during 6 months of follow-up which predicts a worse disease progression at the 2-year follow-up. Then, to propose a feasible definition of RCD for routine clinical practice.
METHODS: Data from 565 community-dwelling AD patients recruited in a multi-centre prospective observational study were assessed. All patients had MMSE scores between 10 and 26 at inclusion and were followed up 6-monthly using a standardised clinical assessment. Patients were classified as rapid and non-rapid decliners according to 2 MMSE decline thresholds tested: >or=3 points and >or=4 points for decline over the first 6 months of the study. Worse disease outcome was defined as attainment of 1 of 4 clinical end points 18 months later: institutionalisation, death, increased physical dependence or worsening of behavioural and psychological symptoms.
RESULTS: 135 patients (23.9%) lost >or=3 points during the first 6 months of follow-up in the MMSE score and 77 patients (13.6%) lost >or=4 points. Patients with moderate disease and a loss of >or=4 points showed a significantly increased risk of mortality (HR = 5.6, 95% CI 2.0-15.9) and institutionalisation (HR = 3.8, 95% CI 1.8-8.1) at the 2-year follow-up. The same MMSE threshold was associated with a higher risk of physical decline (HR = 1.6, 95% CI 1.2-2.3).
CONCLUSION: The loss of >or=4 points in MMSE during the first 6 months of follow-up seems to be a predictor of worse clinical course, and thus it could be used to define the category of AD patients presenting a RCD. Copyright 2008 S. Karger AG, Basel.

Entities:  

Mesh:

Year:  2008        PMID: 18617740     DOI: 10.1159/000144073

Source DB:  PubMed          Journal:  Dement Geriatr Cogn Disord        ISSN: 1420-8008            Impact factor:   2.959


  16 in total

1.  Rapid cognitive decline in Alzheimer's disease. Consensus paper.

Authors:  M E Soto; S Andrieu; C Arbus; M Ceccaldi; P Couratier; T Dantoine; J-F Dartigues; S Gillette-Guyonnet; F Nourhashemi; P-J Ousset; M Poncet; F Portet; J Touchon; B Vellas
Journal:  J Nutr Health Aging       Date:  2008-12       Impact factor: 4.075

2.  Risk Factors for Progression of Alzheimer Disease in a Canadian Population: The Canadian Outcomes Study in Dementia (COSID).

Authors:  Nathan Herrmann; Tetsuhiro Harimoto; Robert Balshaw; Krista L Lanctôt
Journal:  Can J Psychiatry       Date:  2015-04       Impact factor: 4.356

3.  Predictive factors of discontinuation and switch of cholinesterase inhibitors in community-dwelling patients with Alzheimer's disease: a 2-year prospective, multicentre, cohort study.

Authors:  Virginie Gardette; Sandrine Andrieu; Maryse Lapeyre-Mestre; Nicola Coley; Christelle Cantet; Pierre-Jean Ousset; Alain Grand; Jean-Louis Monstastruc; Bruno Vellas
Journal:  CNS Drugs       Date:  2010-05       Impact factor: 5.749

4.  The primary care physician and Alzheimer's disease: an international position paper.

Authors:  H Villars; S Oustric; S Andrieu; J P Baeyens; R Bernabei; H Brodaty; K Brummel-Smith; C Celafu; N Chappell; J Fitten; G Frisoni; L Froelich; O Guerin; G Gold; I Holmerova; S Iliffe; A Lukas; R Melis; J E Morley; H Nies; F Nourhashemi; J Petermans; J Ribera Casado; L Rubenstein; A Salva; C Sieber; A Sinclair; R Schindler; E Stephan; R Y Wong; B Vellas
Journal:  J Nutr Health Aging       Date:  2010-02       Impact factor: 4.075

5.  The Veterans Affairs Saint Louis University mental status exam (SLUMS exam) and the Mini-mental status exam as predictors of mortality and institutionalization.

Authors:  D M Cruz-Oliver; T K Malmstrom; C M Allen; N Tumosa; J E Morley
Journal:  J Nutr Health Aging       Date:  2012-07       Impact factor: 4.075

6.  Predicting aggressive decline in mild cognitive impairment: the importance of white matter hyperintensities.

Authors:  Giuseppe Tosto; Molly E Zimmerman; Owen T Carmichael; Adam M Brickman
Journal:  JAMA Neurol       Date:  2014-07-01       Impact factor: 18.302

7.  Excessive sleepiness is predictive of cognitive decline in the elderly.

Authors:  Isabelle Jaussent; Jean Bouyer; Marie-Laure Ancelin; Claudine Berr; Alexandra Foubert-Samier; Karen Ritchie; Maurice M Ohayon; Alain Besset; Yves Dauvilliers
Journal:  Sleep       Date:  2012-09-01       Impact factor: 5.849

8.  Using the Guttman scale to define and estimate measurement error in items over time: the case of cognitive decline and the meaning of "points lost".

Authors:  Rochelle E Tractenberg; Futoshi Yumoto; Paul S Aisen; Jeffrey A Kaye; Robert J Mislevy
Journal:  PLoS One       Date:  2012-02-17       Impact factor: 3.240

9.  The efficacy and safety of the Chinese herbal medicine Di-Tan decoction for treating Alzheimer's disease: protocol for a randomized controlled trial.

Authors:  Ka-Kit Chua; Adrian Wong; Pauline Wing-Lam Kwan; Ju-Xian Song; Lei-Lei Chen; Andrew Lung-Tat Chan; Jia-Hong Lu; Vincent Mok; Min Li
Journal:  Trials       Date:  2015-04-30       Impact factor: 2.279

10.  Predictive Factors of Rapid Cognitive Decline in Patients with Alzheimer Disease.

Authors:  Coralie Barbe; Isabella Morrone; J L Novella; Moustapha Dramé; Aurore Wolak-Thierry; Jean-Pierre Aquino; Joël Ankri; Damien Jolly; Rachid Mahmoudi
Journal:  Dement Geriatr Cogn Dis Extra       Date:  2016-12-05
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