title: Severity of CIND and MCI predict incidence of dementia in an ischemic stroke cohort.
abstract: BACKGROUND
  The utility of poststroke cognitive status, namely dementia, cognitive impairment no dementia (CIND), mild cognitive impairment (MCI), and no cognitive impairment (NCI), in predicting dementia has been previously examined. However, no studies to date have compared the ability of subtypes of MCI and CIND to predict dementia in a poststroke population.
  
  
  METHODS
  A cohort of ischemic stroke patients underwent neuropsychological assessment annually for up to 5 years. Dementia was defined using the DSM-IV criteria. Univariate and multivariable Cox proportional regression was performed to determine the ability of MCI subtypes, CIND severity, and individual domains of impairment to predict dementia.
  
  
  RESULTS
  A total of 362 patients without dementia were followed up for a mean of 3.4 years (17% drop out), with 24 developing incident dementia. Older age, previous and recurrent stroke, and CIND and MCI subtypes were significant predictors of dementia. In multivariable analysis controlling for treatment allocation, patients who were older, had previous or recurrent stroke, and had either CIND moderate or multiple domain MCI with amnestic component were at elevated risk for dementia. In multivariable domain analysis, recurrent strokes, age, and previous strokes, verbal memory, and visual memory were significant predictors of dementia. Receiver operating characteristic curve analysis showed that CIND moderate (area under the curve: 0.893) and multiple domain MCI with amnestic component (area under the curve: 0.832) were significant predictors of conversion to dementia. All other classifications of cognitive impairment had areas under the curve less than 0.7.
  
  
  CONCLUSIONS
  Stroke patients with cognitive impairment no dementia (CIND) moderate are at higher risk of developing dementia, while CIND mild patients are not at increased risk of developing dementia.
authors: Center for Molecular Epidemiology, National University of Singapore. nkaavya@gmail.com
authors: K
authors: K
authors: Narasimhalu
authors: S
authors: S
authors: Ang
authors: D A
authors: DA
authors: De Silva
authors: M-C
authors: MC
authors: Wong
authors: H-M
authors: HM
authors: Chang
authors: K-S
authors: KS
authors: Chia
authors: A P
authors: AP
authors: Auchus
authors: C
authors: C
authors: Chen
mesh_terms: D000368:Aged; D000704:Analysis of Variance; D003072:Cognition Disorders / Q000453:epidemiology* / Q000209:etiology; D015331:Cohort Studies; D003704:Dementia / Q000453:epidemiology* / Q000209:etiology; D039721:Diagnostic and Statistical Manual of Mental Disorders; D018450:Disease Progression; D005260:Female; D006801:Humans; D015994:Incidence; D008297:Male; D008875:Middle Aged; D009483:Neuropsychological Tests; D011237:Predictive Value of Tests; D016016:Proportional Hazards Models; D012372:ROC Curve; D012189:Retrospective Studies; D012307:Risk Factors; D012720:Severity of Illness Index; D020521:Stroke / Q000150:complications / Q000453:epidemiology*