Diagnostic value of mild cognitive dysfunction by the intelligent version of the MoCA system
Objective To investigate the efficacy of the intelligent version of the Montreal Cognitive Assessment Scale(MoCA)in identifying mild cognitive impairment(MCI)in elderly inpatients.Methods Seventy-five patients diagnosed with mild cognitive impairment(MCI group)from the Neurology and Geriatrics Departments of a tertiary hospital in Changsha City,along with 195 patients with normal cognitive function(normal control group),were selected between July 2020 and December 2022.Both groups underwent evaluations using the intelligent version of the Montreal Cognitive Assessment(MoCA)and the Mini Mental State Examination(MMSE),and the results were analyzed.Results The MCI group showed significantly lower total MoCA scores and MMSE scores[(19.73±2.42)vs.(24.8±2.33)]compared to the normal control group[(24.47±2.02)vs.(26.50±1.65)],with a statistically significant difference(P＜0.01).The optimal cut-off score for the MoCA was found to be 23.5 points in diagnosing MCI,showing higher sensitivity,specificity,and kappa value(96.0％,82.1％,and 0.690)compared to the MMSE scale(90.0％,62.6％,and 0.428).Conclusions The intelligent MoCA has a high screening accuracy for identifying MCI in this population,demonstrating superior sensitivity and specificity compared to the MMSE.
Mild cognitive impairmentElectronic assessmentMoCAMMSEDiagnostic value
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