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Journal of Neurology Neurosurgery and Psychiatry 2004;75:1275-1280
© 2004 BMJ Publishing Group Ltd


PAPER

Mild cognitive impairment: a cross-national comparison

E Arnáiz1, O Almkvist1, R J Ivnik2, E G Tangalos3, L O Wahlund1, B Winblad1, R C Petersen4

1 Karolinska Institutet, Neurotec Department, Division of Clinical Geriatrics, Huddinge University Hospital, Stockholm, Sweden
2 Department of Psychiatry and Psychology, Mayo Clinic and Mayo Foundation, Rochester, MN, USA
3 Department of Internal Medicine, Mayo Clinic and Mayo Foundation, Rochester, MN, USA
4 Department of Neurology, Mayo Clinic and Mayo Foundation, Rochester, MN, USA

Correspondence to:
Correspondence to:
O Almkvist
Division of Clinical Geriatrics, Huddinge University Hospital B84, S-141 86 Stockholm, Sweden; ove.almkvist{at}neurotec.ki.se

Objective: The main aim of this collaborative study was to assess the comparability of the most commonly used criteria for mild cognitive impairment (MCI) by comparing the cognitive performance of patients with MCI from the Mayo Clinic (USA) and the Karolinska Institutet (Sweden).

Methods: Standardised neuropsychological test scores were used to compare the two samples from the two institutions with regard to the number of cognitive domains in which performance was below 1.5 SD. Possible predictors for the conversion from MCI to Alzheimer’s disease (AD) were assessed.

Results: When the two institutions were considered together in the Cox proportional hazard model, the number of affected cognitive domains below 1.5 SD was a significant predictor of time to AD diagnosis with age, education, and APOE {epsilon}4 genotype entered into the same model as covariates. The number of affected cognitive areas remained as a significant predictor when the institutions were considered separately. The logistic regression model of conversion to AD showed that only tests assessing learning and retention were predictors of developing AD.

Conclusions: Differences in population as well as in methodology of case ascertainment as well as other aspects may account for the observed variability between samples of patients with MCI. The number of impaired cognitive factors at baseline can predict the progression from MCI to AD. Furthermore, tests assessing learning and retention are the best predictors for progression to AD.


Abbreviations: AD, Alzheimer’s disease; AVLT, Auditory Verbal Learning Test; CDR, Clinical Dementia Rating (scale); KI, Karolinska Institute; MC, Mayo Clinic; MCFS, Mayo Cognitive Factor Scores; MCI, mild cognitive impairment; WAIS-R, Wechsler Adult Intelligence Scale-Revised; WMS-R, Wechsler Memory Scale-Revised

Keywords: Keywords: Alzheimer’s disease; mild cognitive impairment; neuropsychology; cross-national comparison




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