Predictors of Reversion from Mild Cognitive Impairment to Normal Cognition

Seema Y. Pandya, Laura H. Lacritz, Myron F. Weiner, Martin Deschner, Fu L. Woon

Research output: Contribution to journalArticlepeer-review

61 Scopus citations

Abstract

Background/Aims: Few studies have examined predictors of reversion from mild cognitive impairment (MCI) to normal cognition. We sought to identify baseline predictors of reversion, using the National Alzheimer's Coordinating Center Uniform Data Set, by comparing MCI individuals who reverted to normal cognition to those who progressed to dementia. Methods: Participants (n = 1,208) meeting MCI criteria were evaluated at the baseline visit and 3 subsequent annual visits. Clusters of baseline predictors of MCI reversion included demographic/genetic data, global functioning, neuropsychological functioning, medical health/dementia risk score, and neuropsychiatric symptoms. Stepwise logistic regression models identified predictors of MCI reversion per cluster, which were then entered into a final comprehensive model to find overall predictor(s). Results: At 2 years, 175 (14%) reverted to normal cognition, 612 (51%) remained MCI, and 421 (35%) progressed to dementia, with sustained diagnoses at 3 years. Significant variables associated with MCI reversion were younger age, being unmarried, absence of APOE ϵ4 allele, lower CDR-SOB score, and higher memory/language test scores. Conclusion: A relatively sizable proportion of MCI individuals reverted to normal cognition, which is associated with multiple factors previously noted. Findings may enhance MCI prognostic accuracy and increase precision of early intervention studies of dementia.

Original languageEnglish (US)
Pages (from-to)204-214
Number of pages11
JournalDementia and Geriatric Cognitive Disorders
Volume43
Issue number3-4
DOIs
StatePublished - Apr 1 2017

Keywords

  • Alzheimer disease
  • Cognition
  • Dementia
  • Mild cognitive impairment
  • Reversion

ASJC Scopus subject areas

  • Geriatrics and Gerontology
  • Cognitive Neuroscience
  • Psychiatry and Mental health

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