title: Cognitive and SPECT characteristics predict progression of Parkinson's disease in newly diagnosed patients.
abstract: OBJECTIVE
  To identify features in cognitive functioning and regional cerebral blood flow (rCBF) in newly diagnosed Parkinson's disease (PD) patients and to determine whether these factors are able to predict the progression of the disease in general and the development of cognitive decline in particular.
  
  
  METHODS
  50 previously treatment-naive PD patients participated in the study. Cognitive assessment and SPECT were performed twice: at the time of diagnosis and then 3 years later. Six patients died or refused to continue. The Mattis dementia rating scale, the WAIS-R digit span test, a word list learning/recall test, a word fluency task and the Stroop word-colour test were used to assess cognitive function. rCBF was measured in 10 pairs of regions of interest. Principal component analysis of the data from the final examination was used to determine which variables allowed the formation of patient subgroups. Thereafter, factorial discriminant analysis (FDA) was performed in order to obtain a predictive model of these final classes.
  
  
  RESULTS
  A stepwise procedure enabled the identification of 3 clusters (26, 16 and 2 patients). As the patients in the smallest cluster met the criteria for dementia at the final examination, they were discarded from further analyses. All the cognitive variables contributed to the constitution of the two other clusters. Age, educational level and all the rCBF parameters also contributed but to a lesser extent. Comparison of these groups showed reduced overall cognitive efficiency and an exacerbated subcorticofrontal syndrome in the 16-patient cluster. FDA showed that the best predictive model for the final classes was based on 7 variables: educational level, semantic and alternating word fluency, Stroop interference index and the right medial frontal, left parietal and left lenticular nucleus rCBF findings.
  
  
  CONCLUSIONS
  Even though both cognitive and rCBF parameters help predict the progression of newly diagnosed PD patients and bearing in mind the limitations of the SPECT method used here, it appears that the contribution of cognitive assessment is greater than that of rCBF measurement.
authors.affiliation: Neurologie et Pathologie du Mouvement Neurologie A, Hôpital Salengro Centre Hospitalier Universitaire, 59037, Lille Cedex, France. dujardin@univ-lille3.fr
authors.forename: Kathy
authors.initials: K
authors.lastname: Dujardin
authors.forename: Luc
authors.initials: L
authors.lastname: Defebvre
authors.forename: Alain
authors.initials: A
authors.lastname: Duhamel
authors.forename: Pascal
authors.initials: P
authors.lastname: Lecouffe
authors.forename: Pascal
authors.initials: P
authors.lastname: Rogelet
authors.forename: Marc
authors.initials: M
authors.lastname: Steinling
authors.forename: Alain
authors.initials: A
authors.lastname: Destée
mesh_terms: D000368:Aged; D001931:Brain Mapping; D002560:Cerebrovascular Circulation / Q000502:physiology; D003071:Cognition / Q000502:physiology*; D015331:Cohort Studies; D018450:Disease Progression; D005163:Factor Analysis, Statistical; D005260:Female; D005500:Follow-Up Studies; D007839:Functional Laterality / Q000502:physiology; D006801:Humans; D007457:Iodine Radioisotopes / Q000378:metabolism; D008297:Male; D008875:Middle Aged; D009483:Neuropsychological Tests / Q000706:statistics & numerical data; D010300:Parkinson Disease / Q000000981:diagnostic imaging* / Q000503:physiopathology; D011237:Predictive Value of Tests; D015899:Tomography, Emission-Computed, Single-Photon
chemical_list: D007457:Iodine Radioisotopes