Literature DB >> 29125486

Putative Dementia Cases Fluctuate as a Function of Mini-Mental State Examination Cut-Off Points.

Ilka M Rosa1, Ana G Henriques1, Jens Wiltfang1,2, Odete A B da Cruz E Silva1.   

Abstract

As the population ages, there is a growing need to quickly and accurately identify putative dementia cases. Many cognitive tests are available; among those commonly used are the Cognitive Dementia Rating (CDR) and the Mini-Mental Status Examination (MMSE). The aim of this work was to compare the validity and reliability of these cognitive tests in a primary care based cohort (pcb-Cohort). The MMSE and the CDR were applied to 568 volunteers in the pcb-Cohort. Distinct cut-off points for the MMSE were considered, namely MMSE 27, MMSE 24, and MMSE PT (adapted for the Portuguese population). The MMSE 27 identified the greatest number of putative dementia cases, and, as determined by the ROC curve, it was the most sensitive and specific of the MMSE cut-offs considered. Putative predictive or risk factors identified included age, literacy, depression, and diabetes mellitus (DM). DM has previously been indicated as a risk factor for dementia and Alzheimer's disease. Comparatively, the MMSE 27 cut-off has the greatest sensibility (94.9%) and specificity (66.3%) when compared to MMSE PT and MMSE 24. Upon comparing MMSE and CDR scores, the latter identified a further 146 putative dementia cases, thus permitting one to propose that in an ideal situation, both tests should be employed. This increases the likelihood of identifying putative dementia cases for subsequent follow up work, thus these cognitive tests represent important tools in patient care. Further, this is a significant study for Portuguese populations, where few of these studies have been carried out.

Entities:  

Keywords:  Cognitive Dementia Rating; cognitive testing; pcb-Cohort; primary care

Mesh:

Year:  2018        PMID: 29125486     DOI: 10.3233/JAD-170501

Source DB:  PubMed          Journal:  J Alzheimers Dis        ISSN: 1387-2877            Impact factor:   4.472


  5 in total

1.  EEG spectral power abnormalities and their relationship with cognitive dysfunction in patients with Alzheimer's disease and type 2 diabetes.

Authors:  Christopher S Y Benwell; Paula Davila-Pérez; Peter J Fried; Richard N Jones; Thomas G Travison; Emiliano Santarnecchi; Alvaro Pascual-Leone; Mouhsin M Shafi
Journal:  Neurobiol Aging       Date:  2019-10-14       Impact factor: 4.673

2.  Exosome isolation from distinct biofluids using precipitation and column-based approaches.

Authors:  Tânia Soares Martins; José Catita; Ilka Martins Rosa; Odete A B da Cruz E Silva; Ana Gabriela Henriques
Journal:  PLoS One       Date:  2018-06-11       Impact factor: 3.240

3.  The association of metabolic syndrome and cognitive impairment in Jidong of China: a cross-sectional study.

Authors:  Xiaohui Wang; Long Ji; Zhaoyang Tang; Guoyong Ding; Xueyu Chen; Jian Lv; Yanru Chen; Dong Li
Journal:  BMC Endocr Disord       Date:  2021-03-04       Impact factor: 2.763

4.  A Bioinformatics Approach Toward Unravelling the Synaptic Molecular Crosstalk Between Alzheimer's Disease and Diabetes.

Authors:  Steven R Alves; Cristóvão da Cruz E Silva; Ilka M Rosa; Ana Gabriela Henriques; Odete A B da Cruz E Silva
Journal:  J Alzheimers Dis       Date:  2022       Impact factor: 4.160

5.  Novel Exosome Biomarker Candidates for Alzheimer's Disease Unravelled Through Mass Spectrometry Analysis.

Authors:  Tânia Soares Martins; Rui Marçalo; Cristóvão B da Cruz E Silva; Dário Trindade; José Catita; Francisco Amado; Tânia Melo; Ilka Martins Rosa; Jonathan Vogelgsang; Jens Wiltfang; Odete A B da Cruz E Silva; Ana Gabriela Henriques
Journal:  Mol Neurobiol       Date:  2022-02-25       Impact factor: 5.682

  5 in total

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