Literature DB >> 22278151

Predictors of cognitive decline in Alzheimer's disease and mild cognitive impairment using the CAMCOG: a five-year follow-up.

Josep L Conde-Sala1, Josep Garre-Olmo, Joan Vilalta-Franch, Jordi Llinàs-Reglà, Oriol Turró-Garriga, Manuela Lozano-Gallego, Marta Hernández-Ferrándiz, Immaculada Pericot-Nierga, Secundino López-Pousa.   

Abstract

BACKGROUND: There are discrepant findings regarding which subscales of the Cambridge Cognitive Examination (CAMCOG) are able to predict cognitive decline. The study aimed to identify the baseline CAMCOG subscales that can discriminate between patients and predict cognitive decline in Alzheimer's disease (AD) and mild cognitive impairment (MCI).
METHODS: This was a five-year case-control study of patients with cognitive impairment and a control group. Participants were grouped into AD (n = 121), MCI converted to dementia (MCI-Ad, n = 43), MCI-stable (MCI-St, n = 66), and controls (CTR, n = 112). Differences in the mean scores obtained by the four groups were examined. Receiver operating characteristic curves were used to compare subscale scores in the AD and MCI-Ad groups with those of controls. The influence of age, gender, schooling, and depression on baseline subscale scores was assessed.
RESULTS: Of the CAMCOG subscales, Orientation and Memory (learning and recent) (OR + MEM) showed the highest discriminant capacity in the baseline analysis of the four groups. This baseline analysis indicated that OR + MEM was the best predictor of conversion to AD in the MCI-Ad group (area under the curve, AUC = 0.81), whereas the predictive capacity of the global MMSE and CAMCOG scores was poor (AUC = 0.59 and 0.53, respectively).
CONCLUSIONS: In the baseline analysis, the Orientation and Memory (learning and recent) subscales showed the highest discriminant and predictive capacity as regards both cognitive decline in the AD group and conversion to AD among MCI-Ad patients. This was not affected by age, gender, schooling, or depression.

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Year:  2012        PMID: 22278151     DOI: 10.1017/S1041610211002158

Source DB:  PubMed          Journal:  Int Psychogeriatr        ISSN: 1041-6102            Impact factor:   3.878


  4 in total

Review 1.  Mini-Mental State Examination (MMSE) for the detection of Alzheimer's disease and other dementias in people with mild cognitive impairment (MCI).

Authors:  Ingrid Arevalo-Rodriguez; Nadja Smailagic; Marta Roqué I Figuls; Agustín Ciapponi; Erick Sanchez-Perez; Antri Giannakou; Olga L Pedraza; Xavier Bonfill Cosp; Sarah Cullum
Journal:  Cochrane Database Syst Rev       Date:  2015-03-05

Review 2.  Applications of technology in neuropsychological assessment.

Authors:  Carolyn M Parsey; Maureen Schmitter-Edgecombe
Journal:  Clin Neuropsychol       Date:  2013-09-16       Impact factor: 3.535

3.  Influencing factors on instrumental activities of daily living functioning in people with mild cognitive disorder - a secondary investigation of cross-sectional data.

Authors:  Marina Bruderer-Hofstetter; Ellen Gorus; Elise Cornelis; André Meichtry; Patricia De Vriendt
Journal:  BMC Geriatr       Date:  2022-10-11       Impact factor: 4.070

4.  Mini-Mental State Examination (MMSE) for the early detection of dementia in people with mild cognitive impairment (MCI).

Authors:  Ingrid Arevalo-Rodriguez; Nadja Smailagic; Marta Roqué-Figuls; Agustín Ciapponi; Erick Sanchez-Perez; Antri Giannakou; Olga L Pedraza; Xavier Bonfill Cosp; Sarah Cullum
Journal:  Cochrane Database Syst Rev       Date:  2021-07-27
  4 in total

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