title: Evidence of subtypes of Alzheimer's disease and implications for etiology.
abstract: OBJECTIVE
  Because age of onset does not reliably define two subtypes of Alzheimer's disease, classification based on the severity of neuronal degeneration was tested.
  
  
  METHODS
  Numbers of extracellular tangles and pyramidal neurons in the hippocampus were used to group patients.
  
  
  METHODS
  The study population consisted of 46 elderly patients satisfying DSM-III criteria for dementia and NINCDS-ADRDA criteria for definite Alzheimer's disease after death.
  
  
  RESULTS
  Univariate logistic regression analysis showed the numbers of neurofibrillary tangles and pyramidal neurons and the duration of dementia were significantly associated with grouping based on the presence of abundant extracellular tangles. Ninety-one percent of patients were correctly classified as compared with 85% correctly classified by age of onset data. Odds ratios showed that increasing numbers of neurofibrillary tangles predicted greater severity of neuronal loss.
  
  
  CONCLUSIONS
  The results of the study indicate the importance of neurofibrillary degeneration, not the deposition of amyloid, in the pathogenesis of Alzheimer's disease. They support a classification of Alzheimer's disease related more closely to the severity of neurofibrillary degeneration than to age at onset.
authors: Department of Psychiatry and Behavioral Sciences, University of Southern California School of Medicine, Los Angeles.
authors: W
authors: W
authors: Bondareff
authors: C Q
authors: CQ
authors: Mountjoy
authors: C M
authors: CM
authors: Wischik
authors: D L
authors: DL
authors: Hauser
authors: L D
authors: LD
authors: LaBree
authors: M
authors: M
authors: Roth
mesh_terms: D000367:Age Factors; D000368:Aged; D000544:Alzheimer Disease / Q000145:classification* / Q000209:etiology / Q000473:pathology; D005110:Extracellular Space; D006624:Hippocampus / Q000473:pathology; D006801:Humans; D016874:Neurofibrillary Tangles / Q000473:pathology; D016017:Odds Ratio; D012044:Regression Analysis; D012720:Severity of Illness Index