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Journal of the neurological sciences · 2014

Clinical and demographic predictors of mild cognitive impairment for converting to Alzheimer's disease and reverting to normal cognition.

СтатьяПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод пока не подготовлен
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Tokuchi Ryo, Hishikawa Nozomi, Kurata Tomoko, Sato Kota, Kono Syoichiro, Yamashita Toru, Deguchi Kentaro, Abe Koji

Аннотация

OBJECTIVE: To identify clinical and demographic predictors for mild cognitive impairment (MCI) conversion to Alzheimer's disease (AD) or reversion to normal cognition, and sustained MCI.

METHODS: In total, 74 baseline MCI subjects were retrospectively investigated and categorized into three subgroups: conversion to AD, sustained MCI, or reversion to normal cognition during one year. The clinical and demographic characteristics assessed were age, gender, educational attainment, vascular risk factors, white matter lesions (WMLs), and parahippocampal gyrus atrophy (PGA), analyzed by magnetic resonance imaging (MRI) using the voxel-based specific regional analysis system for AD (VSRAD).

RESULTS: Of the 74 MCI subjects, 29 (39.2%) were classified as "converters", 39 (52.7%) as "sustained MCI", and 6 (8.1%) as "reverters". Among the three subgroups, there were significant differences in educational attainment (years) (*p = 0.03), baseline mini-mental state examination (MMSE) scores (***p<0.001), and periventricular and deep white matter hyperintensity grades (*p = 0.02 and *p = 0.03, respectively). Baseline PGA showed a significant increasing trend among the three subgroups (reverters<sustained MCI<converters, (###)p<0.001). MCI subjects with higher educational attainment and low VSRAD Z-scores without WMLs were associated with reversion to normal cognitive function.

CONCLUSIONS: Risk factors for MCI conversion to AD were low educational attainment, low baseline MMSE scores, high grade WMLs, and high VSRAD Z-scores. High educational attainment, low VSRAD Z-scores, and no WMLs characterized reversion to normal cognition.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты