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[Contributing factors to intellectual impairment in patients with multiple lacunar infarctions].

Abstract
The author investigated factors leading to intellectual impairment in patients with multiple lacunar infarctions. The subjects consisted of 40 patients with multi-infarct dementia (MID) and 17 nondemented patients with multiple infarctions (MI) who showed multiple lacunar infarctions in the deep penetrating arterial territory on CT. MID patients showed more marked and extensive periventricular lucency (PVL), a higher degree of ventricular index (VI) measured on CT, and were of a higher age, and had poorer activity of daily living (ADL) compared with MI patients. There were significant correlations between the PVL score, VI, ADL score, age and Hasegawa's dementia rating score (HDS). However, no significant differences in sex, site of infarct, and the count of low density areas reflected lacunar infarction on CT, and vascular risk factors were shown between MID and MI patients. Multiple regression analysis demonstrated that the PVL score and VI showed the highest partial correlations for HDS, and that the ADL score and age were also independently contributing factors. Our results suggest that deep white matter lesions observed as PVL on CT and ventricular enlargement were the most important factors contributing to intellectual impairment in patients with multiple lacunar infarcts, and that physical factors such as ADL and age can be considered to be related to the development of dementia.
AuthorsH Hanyu, S Abe, H Arai, H Kubo, N Shimizu, T Iwamoto, M Takasaki, R Fujita, C Tomori, A Motegi
JournalNihon Ronen Igakkai zasshi. Japanese journal of geriatrics (Nihon Ronen Igakkai Zasshi) Vol. 29 Issue 4 Pg. 298-304 (Apr 1992) ISSN: 0300-9173 [Print] Japan
PMID1614010 (Publication Type: English Abstract, Journal Article)
Topics
  • Activities of Daily Living
  • Aged
  • Aged, 80 and over
  • Aging
  • Brain (pathology)
  • Dementia, Multi-Infarct (physiopathology, psychology)
  • Female
  • Humans
  • Male
  • Middle Aged
  • Regression Analysis

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