Literature DB >> 27590706

Progression from normal cognition to mild cognitive impairment in a diverse clinic-based and community-based elderly cohort.

Yingjia Chen1, Katherine G Denny2, Danielle Harvey1, Sarah Tomaszewski Farias2, Dan Mungas2, Charles DeCarli2, Laurel Beckett3.   

Abstract

INTRODUCTION: Investigation of the conversion rates from normal cognition (NC) to mild cognitive impairment (MCI) is important, as effective early intervention could potentially prevent or substantially delay the onset of dementia. However, reported conversion rates differ across studies and recruitment source. Our study examined predictors of conversion from NC to MCI in a racially and ethnically diverse sample drawn both from community and clinic recruitment sources.
METHODS: Rates and predictors of conversion were assessed in an ongoing prospective longitudinal study at University of California, Davis, Alzheimer's Disease Center from 2000 to 2015. Participants (n = 254) were recruited through a clinic (5%) and community sample (95%). They were clinically confirmed as cognitively normal at baseline and followed up to seven years. Recruitment source, demographic factors (age, gender, race/ethnicity, year of education, APOE ε4 positive), cognitive measures (SENAS test scores), functional assessments (CDR sum of boxes), and neuroimaging measures (total brain volume, total hippocampal volume, white hyperintensity volume) were assessed as predictors of conversion from cognitively normal to mild cognitive impairment using proportional hazards models.
RESULTS: Of 254 participants, 62 (11 clinic, 51 community) progressed to MCI. The clinic-based sample showed an annual conversion rate of 30% (95% CI 17%-54%) per person-year, whereas the community-based sample showed a conversion rate of 5% (95% CI 3%-6%) per person-year. Risk factors for conversion include clinic-based recruitment, being older, lower executive function and worse functional assessment at baseline, and smaller total brain volume. DISCUSSION: Older adults who sought out a clinical evaluation, even when they are found to have normal cognition, have increased risk of subsequent development of MCI. Results are consistent with other studies showing subjective cognitive complaints are a risk for future cognitive impairment, but extend such findings to show that those who seek evaluation for their complaints are at particularly high risk. Moreover, these individuals have subtle, but significant differences in functional and cognitive abilities that, in the presence of concerns and evidence of atrophy on by brain imaging, warrant continued clinical follow-up. These risk factors could also be used as stratification variables for dementia prevention clinical trial design.
Copyright © 2016 the Alzheimer's Association. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Alzheimer's disease; Cognitive complaints; Dementia; Mild cognitive impairment; Normal cognition; Progression

Mesh:

Substances:

Year:  2016        PMID: 27590706      PMCID: PMC5451154          DOI: 10.1016/j.jalz.2016.07.151

Source DB:  PubMed          Journal:  Alzheimers Dement        ISSN: 1552-5260            Impact factor:   21.566


  36 in total

1.  Functional evaluation distinguishes MCI patients from healthy elderly people--the ADCS/MCI/ADL scale.

Authors:  H Pedrosa; A De Sa; M Guerreiro; J Maroco; M R Simoes; D Galasko; A de Mendonca
Journal:  J Nutr Health Aging       Date:  2010-10       Impact factor: 4.075

2.  Recruitment of a community-based cohort for research on diversity and risk of dementia.

Authors:  Ladson Hinton; Kimberly Carter; Bruce R Reed; Laurel Beckett; Esther Lara; Charles DeCarli; Dan Mungas
Journal:  Alzheimer Dis Assoc Disord       Date:  2010 Jul-Sep       Impact factor: 2.703

3.  Measures of brain morphology and infarction in the framingham heart study: establishing what is normal.

Authors:  Charles DeCarli; Joseph Massaro; Danielle Harvey; John Hald; Mats Tullberg; Rhoda Au; Alexa Beiser; Ralph D'Agostino; Philip A Wolf
Journal:  Neurobiol Aging       Date:  2005-04       Impact factor: 4.673

Review 4.  The evolution of preclinical Alzheimer's disease: implications for prevention trials.

Authors:  Reisa Sperling; Elizabeth Mormino; Keith Johnson
Journal:  Neuron       Date:  2014-11-05       Impact factor: 17.173

5.  Predictors of brain morphology for the men of the NHLBI twin study.

Authors:  C DeCarli; B L Miller; G E Swan; T Reed; P A Wolf; J Garner; L Jack; D Carmelli
Journal:  Stroke       Date:  1999-03       Impact factor: 7.914

6.  Rate of progression of mild cognitive impairment to dementia--meta-analysis of 41 robust inception cohort studies.

Authors:  A J Mitchell; M Shiri-Feshki
Journal:  Acta Psychiatr Scand       Date:  2008-02-18       Impact factor: 6.392

Review 7.  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

8.  Alzheimer disease in the US population: prevalence estimates using the 2000 census.

Authors:  Liesi E Hebert; Paul A Scherr; Julia L Bienias; David A Bennett; Denis A Evans
Journal:  Arch Neurol       Date:  2003-08

9.  FLAIR histogram segmentation for measurement of leukoaraiosis volume.

Authors:  C R Jack; P C O'Brien; D W Rettman; M M Shiung; Y Xu; R Muthupillai; A Manduca; R Avula; B J Erickson
Journal:  J Magn Reson Imaging       Date:  2001-12       Impact factor: 4.813

10.  The role of apolipoprotein E (APOE) genotype in early mild cognitive impairment (E-MCI).

Authors:  Shannon L Risacher; Sungeun Kim; Li Shen; Kwangsik Nho; Tatiana Foroud; Robert C Green; Ronald C Petersen; Clifford R Jack; Paul S Aisen; Robert A Koeppe; William J Jagust; Leslie M Shaw; John Q Trojanowski; Michael W Weiner; Andrew J Saykin
Journal:  Front Aging Neurosci       Date:  2013-04-01       Impact factor: 5.750

View more
  26 in total

1.  Factors associated with cognitive impairment in a cohort of older homeless adults: Results from the HOPE HOME study.

Authors:  Emily Hurstak; Julene K Johnson; Lina Tieu; David Guzman; Claudia Ponath; Christopher T Lee; Christina Weyer Jamora; Margot Kushel
Journal:  Drug Alcohol Depend       Date:  2017-07-04       Impact factor: 4.492

2.  Word-list intrusion errors predict progression to mild cognitive impairment.

Authors:  Kelsey R Thomas; Joel Eppig; Emily C Edmonds; Diane M Jacobs; David J Libon; Rhoda Au; David P Salmon; Mark W Bondi
Journal:  Neuropsychology       Date:  2018-02       Impact factor: 3.295

3.  Association between enrollment factors and incident cognitive impairment in Blacks and Whites: Data from the Alzheimer's Disease Center.

Authors:  Carey E Gleason; Derek Norton; Megan Zuelsdorff; Susan F Benton; Mary F Wyman; Naomi Nystrom; Nickolas Lambrou; Hector Salazar; Rebecca L Koscik; Erin Jonaitis; Fabu Carter; Brieanna Harris; Alexander Gee; Nathaniel Chin; Frederick Ketchum; Sterling C Johnson; Dorothy F Edwards; Cynthia M Carlsson; Walter Kukull; Sanjay Asthana
Journal:  Alzheimers Dement       Date:  2019-10-07       Impact factor: 21.566

4.  The smartphone in the memory clinic: A study of patient and care partner's utilisation habits.

Authors:  Jared F Benge; Kara L Dinh; Erin Logue; Richard Phenis; Michelle N Dasse; Michael K Scullin
Journal:  Neuropsychol Rehabil       Date:  2018-04-16       Impact factor: 2.868

5.  Risk of progression from subjective cognitive decline to mild cognitive impairment: The role of study setting.

Authors:  Beth E Snitz; Tianxiu Wang; Yona Keich Cloonan; Erin Jacobsen; Chung-Chou H Chang; Tiffany F Hughes; M Ilyas Kamboh; Mary Ganguli
Journal:  Alzheimers Dement       Date:  2018-01-18       Impact factor: 21.566

Review 6.  Mind the gaps: What we don't know about cognitive impairment in essential tremor.

Authors:  Elan D Louis; Jillian L Joyce; Stephanie Cosentino
Journal:  Parkinsonism Relat Disord       Date:  2019-03-01       Impact factor: 4.891

7.  Use of in-home activity monitoring technologies in older adult veterans with mild cognitive impairment: The impact of attitudes and cognition.

Authors:  Mira I Leese; Katherine E Dorociak; Madeline Noland; Joseph E Gaugler; Nora Mattek; Adriana Hughes
Journal:  Gerontechnology       Date:  2021-06

8.  The Impact of Study Setting on Clinical Characteristics in Older Chinese Adults with Subjective Cognitive Decline: Baseline Investigation of Convenience and Population-Based Samples.

Authors:  Mingyan Zhao; Guanqun Chen; Taoran Li; Can Sheng; Yuxia Li; Ying Han
Journal:  Biomed Res Int       Date:  2021-06-04       Impact factor: 3.411

9.  Screening for Alzheimer's Disease: Cognitive Impairment in Self-Referred and Memory Clinic-Referred Patients.

Authors:  Bjørn-Eivind Kirsebom; Ragna Espenes; Knut Waterloo; Erik Hessen; Stein Harald Johnsen; Geir Bråthen; Dag Aarsland; Tormod Fladby
Journal:  J Alzheimers Dis       Date:  2017       Impact factor: 4.472

10.  Functional reserve: The residual variance in instrumental activities of daily living not explained by brain structure, cognition, and demographics.

Authors:  A Zarina Kraal; Lauren Massimo; Evan Fletcher; Carmen I Carrión; Luis D Medina; Dan Mungas; Brandon E Gavett; Sarah Tomazewski Farias
Journal:  Neuropsychology       Date:  2021-01       Impact factor: 3.295

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.