We used regression analyses to determine associations between MoCA and cognitive test scores, and assessed sensitivity, specificity, positive predictive value and negative predictive value of various MoCA cut-offs for predicting CD. We compared three CD definitions, all based on thresholds from the 2007 ACR response criteria for neurocognitive impairment in SLE clinical trials (5). CD in SLE patients was defined using standard deviations from the HC group mean. Methods: We tested SLE patients (n=95) and demographically matched healthy control (HC) participants (n=48) using the MoCA and the one-hour neuropsychiatric test battery recommended by the ACR for use in SLE (4). This study aimed to comprehensively evaluate the MoCA as a screening tool for CD in SLE. The Montreal Cognitive Assessment (MoCA) is a brief screening tool, initially designed to screen for mild cognitive impairment (MCI) or dementia, which preliminary studies suggest may have utility in SLE. Therefore, effective screening of SLE patients in the clinical setting is essential in selecting patients for formal cognitive testing. Diagnostic neuropsychological testing is time-consuming and requires specialised staff, limiting access and resulting in under-detection in routine practice.
Conclusions: MoCA test better meets the criteria for screening tests for the detection of MCI among patients over 60 years of age than MMSE.Background/Purpose: Cognitive dysfunction (CD) affects approximately 40% of SLE patients (1), impacting on employment, daily function, and quality of life (2)(3).
For MMSE, it turned out that more important cut-off was of 27/28 (n = 882, 66.34% sensitivity and specificity of 72.94%). Results: ROC curve analysis for MoCA demonstrated that MCI best detection can be achieved with a cut-off point of 24/25 (n = 9350, the sensitivity of 80.48% and specificity of 81.19%). The cut-offs are shown as ROC curve and accuracy of diagnosis for MoCA and MMSE was calculated as the area under the curve (AUC). Research credibility was established by computing weighted arithmetic mean, where weight is defined as population for which the result of sensitivity and specificity for the cut-off point was achieved. At the end, for the evaluation of MoCA 20, and MMSE 13 studies were qualified.
Papers which met inclusion and exclusion criteria were chosen to be included in this review. The following medical subject headings were used in the search: mild cognitive impairment, mini-mental state examination, Montreal cognitive assessment, diagnostics value. Methods: A systematic literature search was carried out by the authors using EBSCO host Web, Wiley Online Library, Springer Link, Science Direct and Medline databases. MMSE credibility assessment in detecting MCI, while taking into consideration the sensitivity and specificity by cut-off points. The Montreal Cognitive Assessment (MoCA), was created as an alternative method for MMSE.Īim. Nowadays, the MiniMental State Examination (MMSE) is the most commonly used scale in cognitive function evaluation, albeit it is claimed to be imprecise for MCI detection. Objectives: Screening tests play a crucial role in dementia diagnostics, thus they should be very sensitive for mild cognitive impairment (MCI) assessment.
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