Literature DB >> 21491627

Optimizing mild cognitive impairment for discriminating dementia risk in the general older population.

Blossom C M Stephan1, George M Savva, Carol Brayne, John Bond, Ian G McKeith, Fiona E Matthews.   

Abstract

BACKGROUND: Criteria for mild cognitive impairment (MCI) predict dementia risk in the clinic. Dementia risk in the population is different and whether there is an optimal MCI-derived threshold for discriminating at-risk from not-at-risk cases in the general older population is not known.
METHODS: Data were from the Medical Research Council Cognitive Function and Ageing Study. Two risk thresholds were derived from each of seven different concepts of MCI including: Mayo Clinic-defined amnestic, nonamnestic, multiple, and revised MCI, MCI based on Mini-Mental State Examination derived categories, and the definitions of Cognitive Impairment No Dementia and Age-Related Cognitive Decline (ARCD). Receiver operating characteristic analysis was used to compare the predictive validity of 2-year incident dementia for each risk threshold across the different MCI definitions.
FINDINGS: MCI-derived risk thresholds varied in their ability to predict dementia. MCI thresholds were accurate in identifying individuals not at-risk of dementia progression (false-negative range: 0%–3.4%). No MCI-derived threshold accurately identified an at-risk group with a 2-year progression rate greater than 20%. Criteria for ARCD defined the threshold with the highest sensitivity and specificity for dementia conversion.
INTERPRETATION: MCI-derived thresholds do not reliably identify individuals at-risk of incident dementia at 2 years when applied in the general population. A large subpopulation of individuals not at-risk was more reliably identified. What is considered a sufficient level of accuracy for identification of individuals at increased risk of dementia depends on the motivation for screening and on the safety and efficacy of available interventions.

Entities:  

Mesh:

Year:  2010        PMID: 21491627     DOI: 10.1097/jgp.0b013e3181e0450d

Source DB:  PubMed          Journal:  Am J Geriatr Psychiatry        ISSN: 1064-7481            Impact factor:   4.105


  15 in total

1.  Dementia: Mild cognitive impairment--not always what it seems.

Authors:  Edo Richard; Carol Brayne
Journal:  Nat Rev Neurol       Date:  2014-02-18       Impact factor: 42.937

Review 2.  The spectrum of cognitive impairment in Lewy body diseases.

Authors:  Jennifer G Goldman; Caroline Williams-Gray; Roger A Barker; John E Duda; James E Galvin
Journal:  Mov Disord       Date:  2014-04-15       Impact factor: 10.338

Review 3.  Should mild cognitive impairment be subtyped?

Authors:  Tiffany F Hughes; Beth E Snitz; Mary Ganguli
Journal:  Curr Opin Psychiatry       Date:  2011-05       Impact factor: 4.741

4.  Mild cognitive impairment: a concept in evolution.

Authors:  R C Petersen; B Caracciolo; C Brayne; S Gauthier; V Jelic; L Fratiglioni
Journal:  J Intern Med       Date:  2014-03       Impact factor: 8.989

5.  Neuropsychological profiles of vascular disease and risk of dementia: implications for defining vascular cognitive impairment no dementia (VCI-ND).

Authors:  Blossom Christa Maree Stephan; Thais Minett; Graciela Muniz-Terrera; Stephanie L Harrison; Fiona E Matthews; Carol Brayne
Journal:  Age Ageing       Date:  2017-09-01       Impact factor: 10.668

6.  Alzheimer and vascular neuropathological changes associated with different cognitive States in a non-demented sample.

Authors:  Blossom C M Stephan; Fiona E Matthews; Brandy Ma; Graciela Muniz; Sally Hunter; Daniel Davis; Ian G McKeith; Gill Foster; Paul G Ince; Carol Brayne
Journal:  J Alzheimers Dis       Date:  2012       Impact factor: 4.472

7.  The reliability of assigning individuals to cognitive states using the Mini Mental-State Examination: a population-based prospective cohort study.

Authors:  Riccardo E Marioni; Mark Chatfield; Carol Brayne; Fiona E Matthews
Journal:  BMC Med Res Methodol       Date:  2011-09-06       Impact factor: 4.615

8.  Estimated maximal and current brain volume predict cognitive ability in old age.

Authors:  Natalie A Royle; Tom Booth; Maria C Valdés Hernández; Lars Penke; Catherine Murray; Alan J Gow; Susana Muñoz Maniega; John Starr; Mark E Bastin; Ian J Deary; Joanna M Wardlaw
Journal:  Neurobiol Aging       Date:  2013-07-11       Impact factor: 4.673

9.  Dementia prediction for people with stroke in populations: is mild cognitive impairment a useful concept?

Authors:  Blossom C M Stephan; Thais Minett; Graciela Muniz Terrera; Fiona E Matthews; Carol Brayne
Journal:  Age Ageing       Date:  2014-07-07       Impact factor: 10.668

10.  Active cognitive lifestyle is associated with positive cognitive health transitions and compression of morbidity from age sixty-five.

Authors:  Riccardo E Marioni; Michael J Valenzuela; Ardo van den Hout; Carol Brayne; Fiona E Matthews
Journal:  PLoS One       Date:  2012-12-12       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.