Please use this identifier to cite or link to this item:
Title: Using an overlapping time interval strategy to study diagnostic instability in mild cognitive impairment subtypes.
Author: Facal, David
Guàrdia Olmos, Joan
Pereiro, Arturo X.
Lojo-Seoane, Cristina
Peró, Maribel
Juncos-Rabadán, Onésimo
Keywords: Neurociència cognitiva
Estadística bayesiana
Cognitive neuroscience
Bayesian statistical decision
Issue Date: 19-Sep-2019
Publisher: MDPI
Abstract: (1) Background: Mild cognitive impairment (MCI) is a diagnostic label in which stability is typically low. The aim of this study was to examine temporal changes in the diagnosis of MCI subtypes by using an overlapping-time strategy; (2) Methods: The study included 435 participants aged over 50 years with subjective cognitive complaints and who completed at least one follow-up evaluation. The probability of transition was estimated using Bayesian odds ratios; (3) Results: Within the different time intervals, the controls with subjective cognitive complaints represented the largest proportion of participants, followed by sda-MCI at baseline and in the first five intervals of the follow-up, but not in the last eight intervals. The odds ratios indicated higher odds of conversion to dementia in sda-MCI and mda-MCI groups relative to na-MCI (e.g., interval 9-15 months-sda-MCI OR = 9 and mda-MCI OR = 3.36; interval 27-33-sda-MCI OR = 16 and mda-MCI = 5.06; interval 42-48-sda-MCI OR = 8.16 and mda-MCI = 3.45; interval 45-51-sda-MCI OR = 3.31 and mda-MCI = 1); (4) Conclusions: Notable patterns of instability consistent with the current literature were observed. The limitations of a prospective approach in the study of MCI transitions are discussed.
Note: Reproducció del document publicat a:
It is part of: Brain Sciences, 2019, vol. 9, num. 9, p. 242
Related resource:
ISSN: 2076-3425
Appears in Collections:Articles publicats en revistes (Psicologia Social i Psicologia Quantitativa)

Files in This Item:
File Description SizeFormat 
691744.pdf697.37 kBAdobe PDFView/Open

This item is licensed under a Creative Commons License Creative Commons