Predictors that a diagnosis of mild cognitive impairment will remain stable 3 years later

Matthew A. Clem, Ryan P. Holliday, Seema Pandya, Linda S. Hynan, Laura H. Lacritz, Fu L. Woon

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

Background and Objective: In half to two thirds of patients who are diagnosed with mild cognitive impairment (MCI), the diagnosis neither converts to dementia nor reverts to normal cognition; however, little is known about predictors of MCI stability. Our study aimed to identify those predictors. Methods: We obtained 3-year longitudinal data from the National Alzheimer's Coordinating Center Uniform Data Set for patients with a baseline diagnosis of MCI. To predict MCI stability, we used the patients' baseline data to conduct three logistic regression models: demographics, global function, and neuropsychological performance. Results: Our final sample had 1059 patients. At the end of 3 years, 596 still had MCI and 463 had converted to dementia. The most reliable predictors of stable MCI were higher baseline scores on delayed recall, processing speed, and global function; younger age; and absence of apolipoprotein E4 alleles. Conclusions: Not all patients with MCI progress to dementia. Of the protective factors that we identified from demographic, functional, and cognitive data, the absence of apolipoprotein E4 alleles best predicted MCI stability. Our predictors may help clinicians better evaluate and treat patients, and may help researchers recruit more homogeneous samples for clinical trials.

Original languageEnglish (US)
Pages (from-to)8-15
Number of pages8
JournalCognitive and Behavioral Neurology
Volume30
Issue number1
StatePublished - 2017

Fingerprint

Apolipoprotein E4
Dementia
Logistic Models
Alleles
Demography
Cognitive Dysfunction
Cognition
Research Personnel
Clinical Trials
Protective Factors
Datasets

Keywords

  • Alzheimer disease
  • ApoE4
  • cognitive
  • Dementia
  • Mild cognitive impairment

ASJC Scopus subject areas

  • Neuropsychology and Physiological Psychology
  • Cognitive Neuroscience
  • Psychiatry and Mental health

Cite this

Predictors that a diagnosis of mild cognitive impairment will remain stable 3 years later. / Clem, Matthew A.; Holliday, Ryan P.; Pandya, Seema; Hynan, Linda S.; Lacritz, Laura H.; Woon, Fu L.

In: Cognitive and Behavioral Neurology, Vol. 30, No. 1, 2017, p. 8-15.

Research output: Contribution to journalArticle

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AU - Clem, Matthew A.

AU - Holliday, Ryan P.

AU - Pandya, Seema

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AU - Lacritz, Laura H.

AU - Woon, Fu L.

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AB - Background and Objective: In half to two thirds of patients who are diagnosed with mild cognitive impairment (MCI), the diagnosis neither converts to dementia nor reverts to normal cognition; however, little is known about predictors of MCI stability. Our study aimed to identify those predictors. Methods: We obtained 3-year longitudinal data from the National Alzheimer's Coordinating Center Uniform Data Set for patients with a baseline diagnosis of MCI. To predict MCI stability, we used the patients' baseline data to conduct three logistic regression models: demographics, global function, and neuropsychological performance. Results: Our final sample had 1059 patients. At the end of 3 years, 596 still had MCI and 463 had converted to dementia. The most reliable predictors of stable MCI were higher baseline scores on delayed recall, processing speed, and global function; younger age; and absence of apolipoprotein E4 alleles. Conclusions: Not all patients with MCI progress to dementia. Of the protective factors that we identified from demographic, functional, and cognitive data, the absence of apolipoprotein E4 alleles best predicted MCI stability. Our predictors may help clinicians better evaluate and treat patients, and may help researchers recruit more homogeneous samples for clinical trials.

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