Literature DB >> 22024618

An exploration of subgroups of mild cognitive impairment based on cognitive, neuropsychiatric and functional features: analysis of data from the National Alzheimer's Coordinating Center.

John J Hanfelt1, Joanne Wuu, Ann B Sollinger, Melanie C Greenaway, James J Lah, Allan I Levey, Felicia C Goldstein.   

Abstract

OBJECTIVES: To empirically expand the existing subtypes of mild cognitive impairment (MCI) by incorporating information on neuropsychiatric and functional features, and to assess whether cerebrovascular disease (CVD) risk factors are associated with any of these subgroups.
DESIGN: Latent class analysis using 1,655 patients with MCI.
SETTING: Participants in the Uniform Data Set (UDS) from 29 National Institutes of Health-supported Alzheimer's Disease Centers. PARTICIPANTS: Patients with a consensus diagnosis of MCI from each center and with a Mini-Mental State Examination score of 22 or greater. MEASUREMENTS: UDS cognitive battery, Neuropsychiatric Inventory Questionnaire, and Functional Assessment Questionnaire administered at initial visit.
RESULTS: Seven empirically based subgroups of MCI were identified: 1) minimally impaired (relative frequency, 12%); 2) amnestic only (16%); 3) amnestic with functional and neuropsychiatric features (16%); 4) amnestic multidomain (12%); 5) amnestic multidomain with functional and neuropsychiatric features (12%); 6) functional and neuropsychiatric features (15%); and 7) executive function and language impairments (18%). Two of these subgroups with functional and neuropsychiatric features were at least 3.8 times more likely than the minimally impaired subgroup to have a Rosen-Hachinski score of 4 or greater, an indicator of probable CVD.
CONCLUSIONS: Findings suggest that there are several distinct phenotypes of MCI characterized by prominent cognitive features, prominent functional features, and neuropsychiatric features or a combination of all three. Subgroups with functional and neuropsychiatric features are significantly more likely to have CVD, which suggests that there may be distinct differences in disease etiology from the other phenotypes.

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Year:  2011        PMID: 22024618      PMCID: PMC3202691          DOI: 10.1097/JGP.0b013e31820ee9d2

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


  30 in total

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Authors:  R Chattat; L Ellena; D Cucinotta; G Savorani; G Mucciarelli
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Review 2.  Mild cognitive impairment.

Authors:  Serge Gauthier; Barry Reisberg; Michael Zaudig; Ronald C Petersen; Karen Ritchie; Karl Broich; Sylvie Belleville; Henry Brodaty; David Bennett; Howard Chertkow; Jeffrey L Cummings; Mony de Leon; Howard Feldman; Mary Ganguli; Harald Hampel; Philip Scheltens; Mary C Tierney; Peter Whitehouse; Bengt Winblad
Journal:  Lancet       Date:  2006-04-15       Impact factor: 79.321

3.  Effect of different impairment criteria on prevalence of “objective” mild cognitive impairment in a community sample.

Authors:  Nicole A Kochan; Melissa J Slavin; Henry Brodaty; John D Crawford; Julian N Trollor; Brian Draper; Perminder S Sachdev
Journal:  Am J Geriatr Psychiatry       Date:  2010-08       Impact factor: 4.105

4.  Measurement of functional activities in older adults in the community.

Authors:  R I Pfeffer; T T Kurosaki; C H Harrah; J M Chance; S Filos
Journal:  J Gerontol       Date:  1982-05

5.  MCI is associated with deficits in everyday functioning.

Authors:  Sarah T Farias; Dan Mungas; Bruce R Reed; Danielle Harvey; Deborah Cahn-Weiner; Charles Decarli
Journal:  Alzheimer Dis Assoc Disord       Date:  2006 Oct-Dec       Impact factor: 2.703

6.  Neuropsychiatric impairments as predictors of mild cognitive impairment, dementia, and Alzheimer's disease.

Authors:  Janet Stepaniuk; Lesley J Ritchie; Holly Tuokko
Journal:  Am J Alzheimers Dis Other Demen       Date:  2008-05-04       Impact factor: 2.035

7.  Differences in neuropsychiatric symptoms according to mild cognitive impairment subtypes in the community.

Authors:  Kang Soo Lee; Hyun-Sang Cho; Chang Hyung Hong; Dong Goo Kim; Byoung Hoon Oh
Journal:  Dement Geriatr Cogn Disord       Date:  2008-09-09       Impact factor: 2.959

8.  Neuropsychiatric symptoms in the community-based patients with mild cognitive impairment and the influence of demographic factors.

Authors:  W Muangpaisan; S Intalapaporn; P Assantachai
Journal:  Int J Geriatr Psychiatry       Date:  2008-07       Impact factor: 3.485

Review 9.  The Alzheimer's Disease Centers' Uniform Data Set (UDS): the neuropsychologic test battery.

Authors:  Sandra Weintraub; David Salmon; Nathaniel Mercaldo; Steven Ferris; Neill R Graff-Radford; Helena Chui; Jeffrey Cummings; Charles DeCarli; Norman L Foster; Douglas Galasko; Elaine Peskind; Woodrow Dietrich; Duane L Beekly; Walter A Kukull; John C Morris
Journal:  Alzheimer Dis Assoc Disord       Date:  2009 Apr-Jun       Impact factor: 2.703

10.  Pathological verification of ischemic score in differentiation of dementias.

Authors:  W G Rosen; R D Terry; P A Fuld; R Katzman; A Peck
Journal:  Ann Neurol       Date:  1980-05       Impact factor: 10.422

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  16 in total

1.  Identification of Heterogeneous Cognitive Subgroups in Community-Dwelling Older Adults: A Latent Class Analysis of the Einstein Aging Study.

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2.  Latent classes of mild cognitive impairment are associated with clinical outcomes and neuropathology: Analysis of data from the National Alzheimer's Coordinating Center.

Authors:  John J Hanfelt; Limin Peng; Felicia C Goldstein; James J Lah
Journal:  Neurobiol Dis       Date:  2018-06-01       Impact factor: 5.996

Review 3.  Depression and cognitive impairment in older adults.

Authors:  Sara L Weisenbach; Laurie A Boore; Helen C Kales
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5.  Patterns of Neuropsychiatric Symptoms in Mild Cognitive Impairment and Risk of Dementia.

Authors:  Sarah N Forrester; Joseph J Gallo; Gwenn S Smith; Jeannie-Marie S Leoutsakos
Journal:  Am J Geriatr Psychiatry       Date:  2015-05-16       Impact factor: 4.105

Review 6.  Mild cognitive impairment in Parkinson disease: heterogenous mechanisms.

Authors:  Kurt A Jellinger
Journal:  J Neural Transm (Vienna)       Date:  2012-02-18       Impact factor: 3.575

7.  Diagnosing Mild Cognitive Impairment Among Racially Diverse Older Adults: Comparison of Consensus, Actuarial, and Statistical Methods.

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8.  Evaluating the association between latent classes and competing risks outcomes with multiphenotype data.

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Journal:  Biometrics       Date:  2021-09-17       Impact factor: 2.571

9.  Four-year outcome of mild cognitive impairment: the contribution of executive dysfunction.

Authors:  Eleni Aretouli; Konstantinos K Tsilidis; Jason Brandt
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10.  Latent Class Analysis of Neurodevelopmental Deficit After Exposure to Anesthesia in Early Childhood.

Authors:  Caleb Ing; Melanie M Wall; Charles J DiMaggio; Andrew J O Whitehouse; Mary K Hegarty; Ming Sun; Britta S von Ungern-Sternberg; Guohua Li; Lena S Sun
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