Subphenotypes of Mild-to-Moderate COPD by Factor and Cluster Analysis of Pulmonary Function, CT Imaging and Breathomics in a Population-Based Survey

2013 ◽  
Vol 10 (3) ◽  
pp. 277-285 ◽  
Author(s):  
Niki Fens ◽  
Annelot G.J. van Rossum ◽  
Pieter Zanen ◽  
Bram van Ginneken ◽  
Rob J. van Klaveren ◽  
...  
Keyword(s):  
Cluster Analysis ◽  
Pulmonary Function ◽  
Population Based ◽  
Ct Imaging ◽  
Factor And Cluster Analysis ◽  
And Cluster Analysis ◽  
Population Based Survey

scholarly journals Pathways and Patterns of Cell Loss in Verified Alzheimer’s Disease: A Factor and Cluster Analysis of Clinico-Pathological Subgroups

1994 ◽  
Vol 7 (3-4) ◽  
pp. 175-180 ◽  
Author(s):  
H. Förstl ◽  
R. Levy ◽  
A. Burns ◽  
P. Luthert ◽  
N. Cairns
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cluster Analysis ◽  
Cell Loss ◽  
Cell Numbers ◽  
Cell Counts ◽  
Patient Groups ◽  
Components Analysis ◽  
Factor And Cluster Analysis ◽  
And Cluster Analysis

Thirty-seven patients with neuropathologically verified Alzheimer's disease (AD) have been studied prospectively. A principal components analysis of neuron numbers in cortical and subcortical areas revealed two variables: Variable I with high loadings for the hippocampo-parahippocampo-parietal neuron counts and Variable II with high loadings for coeruleo-frontal cell numbers. Both may reflect functional neuroanatomical connections which may act as pathways of neurodegeneration in AD. A cluster analysis based on these neuron numbers yielded three groups of patients: Cluster A with low hippocampo-parahippocampo-parietal cell counts, Cluster B with well-preserved neuron numbers, and Cluster C with low coeruleo-frontal neuron numbers. Differences in clinical features between these patient groups indicated the potential clinical relevance of these clusters.

Sign in / Sign up

Export Citation Format

Share Document