Mild Cognitive Impairment: a Prospective Community Study. Mild Cognitive Impairment (MCI) is the cognitive state intermediate between normal aging and dementia. Multiple terms, definitions, and criterion sets exist for MCI. In specialty clinical settings, MCI almost uniformly progresses to dementia at a high rate, and is assumed to represent prodromal dementia. In community studies, MCI is a more heterogeneous state with less elevated risk of progression to dementia, and with substantial proportions remaining only mildly impaired or even reverting to normal cognition. A better understanding is needed of who will and will not progress from MCI to dementia, so that diagnostic criteria can be based on predictive validity in the community at large, and so that individuals can be more appropriately targeted for prevention and early intervention. This application is for renewal of a new study of a cohort randomly selected from a community in Western PA. In 2008, the cohort completed recruitment of 2036 individuals aged 65+, and the majority of them have had APOE genotyping. We conduct annual followup assessments in overlapping 2-year cycles. This study was designed de novo to focus on MCI rather than on the more severe impairments typical of dementia. The assessment protocol allows the application of many extant classification systems and criterion sets for MCI, thus allowing their predictive values for dementia to be compared during followup. Besides the standard criteria, we have also developed reliable cognitive classifications relative to normative data from our cohort, and a novel web-based approach to expert diagnostic consensus. Relevant clinical and biological measures are assessed as covariates and predictors. The primary outcome measure is progression to dementia;we also examine longitudinal change measures in clinical dementia rating, individual cognitive domains, functional impairment, and other assessments. We now propose to follow the cohort for a further five years, so that sufficient individuals will undergo these changes to power the key analyses predicting progression to dementia from MCI. New measures include structural MRI brain imaging in 250 individuals to determine the extent to which measures of cortical and regional atrophy and white matter hyperintensities improve prediction of dementia in this community sample;assays of 6 vascular and inflammatory markers in stored serum, and genotyping for 13 new SNPs associated with Alzheimer's disease and stroke in all stored DNA. These new measures reflect an expanded emphasis on vascular risk factors. Continued followup of this well- characterized aging cohort will improve understanding of the heterogeneity of MCI in the population at large, and help identify reliable predictors of the outcomes of MCI.

Public Health Relevance

A community-based cohort of over 2,000 adults aged 65+ years, assembled between 2006 and 2008, has been carefully assessed on their cognitive abilities, everyday functioning, and on several clinical and biological measures. By following them annually to determine their risk of developing Alzheimer's and other dementias, the study will provide critical information to help identify those at risk of dementia outside specialty clinic settings. This knowledge is needed so that individuals in the larger community can be appropriately targeted for prevention and early intervention strategies.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Research Project (R01)
Project #
5R01AG023651-09
Application #
8522094
Study Section
Neurological, Aging and Musculoskeletal Epidemiology (NAME)
Program Officer
Anderson, Dallas
Project Start
2004-04-01
Project End
2015-05-31
Budget Start
2013-09-01
Budget End
2014-05-31
Support Year
9
Fiscal Year
2013
Total Cost
$1,366,981
Indirect Cost
$464,225
Name
University of Pittsburgh
Department
Psychiatry
Type
Schools of Medicine
DUNS #
004514360
City
Pittsburgh
State
PA
Country
United States
Zip Code
15213
Chaudhry, Mamoonah; Wang, Xingbin; Bamne, Mikhil N et al. (2015) Genetic variation in imprinted genes is associated with risk of late-onset Alzheimer's disease. J Alzheimers Dis 44:989-94
Ganguli, Mary; Lee, Ching-Wen; Hughes, Tiffany et al. (2015) Who wants a free brain scan? Assessing and correcting for recruitment biases in a population-based sMRI pilot study. Brain Imaging Behav 9:204-12
Andreescu, Carmen; Teverovsky, Esther; Fu, Bo et al. (2014) Old worries and new anxieties: behavioral symptoms and mild cognitive impairment in a population study. Am J Geriatr Psychiatry 22:274-84
Ganguli, Mary; Lee, Ching-Wen; Snitz, Beth E et al. (2014) How well do MCI criteria predict progression to severe cognitive impairment and dementia? Alzheimer Dis Assoc Disord 28:113-21
Dodge, Hiroko H; Zhu, Jian; Lee, Ching-Wen et al. (2014) Cohort effects in age-associated cognitive trajectories. J Gerontol A Biol Sci Med Sci 69:687-94
Hughes, Tiffany F; Flatt, Jason D; Fu, Bo et al. (2014) Interactive video gaming compared with health education in older adults with mild cognitive impairment: a feasibility study. Int J Geriatr Psychiatry 29:890-8
Ganguli, Mary; Fu, Bo; Snitz, Beth E et al. (2014) Vascular risk factors and cognitive decline in a population sample. Alzheimer Dis Assoc Disord 28:9-15
Ganguli, Mary; Fu, Bo; Snitz, Beth E et al. (2013) Mild cognitive impairment: incidence and vascular risk factors in a population-based cohort. Neurology 80:2112-20
Hughes, Tiffany F; Flatt, Jason D; Fu, Bo et al. (2013) Engagement in social activities and progression from mild to severe cognitive impairment: the MYHAT study. Int Psychogeriatr 25:587-95
Ganguli, Mary (2012) A reduced risk of Alzheimer's disease in those who survive cancer. BMJ 344:e1662

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