![]() Using two separate cut-offs for the MoCA combined with scores in an indecisive area enhances the accuracy of cognitive screening.Ī steep increase in the prevalence of dementia is expected, associated with social, economic, and societal challenges. Scores between these two cut-offs require further examinations. Introducing two separate cut-offs increased diagnostic accuracies with 92% specificity (23/24 points) and 91% sensitivity (26/27 points). Compared to the original MoCA cut-off, the cut-off of 23/24 points had higher specificity (92% vs 63%), but lower sensitivity (65% vs 86%). ResultsĪ cut-off of 23/24 on the MoCA had better correct classification rates than the MMSE and the original MoCA cut-off. Cut-offs were identified based on (a) Youden’s index and (b) the 10th percentile of the control group. Methodsĭata were analyzed from 496 Memory Clinic outpatients (447 individuals with a neurocognitive disorder 49 with cognitive normal findings) and from 283 normal controls. We aim to revise the cut-off on the German MoCA for its use in clinical routine. doi: 10.1016/j.hrtlng.2014.05.011.The Montreal Cognitive Assessment (MoCA) has good sensitivity for mild cognitive impairment, but specificity is low when the original cut-off (25/26) is used. The MoCA and MMSE as screeners for cognitive impairment in a heart failure population: a study with comprehensive neuropsychological testing. Hawkins MA, Gathright EC, Gunstad J, Dolansky MA, Redle JD, Josephson R, et al. ![]() State of the science on mild cognitive impairment (MCI) CNS Spectr. Jia L, Quan M, Fu Y, Zhao T, Li Y, Wei C, Tang Y, Qin Q, Wang F, Qiao Y, Shi S, Wang YJ, du Y, Zhang J, Zhang J, Luo B, Qu Q, Zhou C, Gauthier S, Jia J, Group for the Project of Dementia Situation in China Dementia in China: epidemiology, clinical management, and research advances. Both tools identify concordantly modifiable factors for MCI, which provide important evidence for establishing intervention measures.Īgreement Correlation MMSE Mild cognitive impairment MoCA Risk factors. MCI prevalence is higher using MoCA compared to MMSE. MoCA is a better measure of cognitive function due to lack of ceiling effect and with good detection of cognitive heterogeneity. Increasing age (MMSE: OR = 2.073 for ≥75 years MoCA: OR = 1.869 for≥75 years), female (OR = 1.280 for MMSE OR = 1.163 for MoCA), living in county town (OR = 1.386 and 1.862 for MMSE and MoCA, respectively) or village (OR = 2.579 and 2.721 for MMSE and MoCA, respectively), smoking (OR = 1.373 and 1.288 for MMSE and MoCA, respectively), hypertension (MMSE: OR = 1.278 MoCA: OR = 1.208) and depression (MMSE: OR = 1.465 MoCA: OR = 1.350) were independently associated with greater likelihood of MCI compared to corresponding reference group in both scales (all p < 0.05). Percentage of relative standard deviation, the measure of inter-individual variance, for MoCA (26.9%) was greater than for MMSE (19.0%) overall (p < 0.0001). Ceiling effect for MCI was less frequent using MoCA versus MMSE according to the distribution of total score. MMSE had good correlation with MoCA (Spearman correlation coefficient = 0.8374, p < 0.0001) and moderate agreement for detecting MCI with Kappa value of 0.5973 (p < 0.0001). The overall MCI prevalence was 28.6% for MMSE and 36.2% for MoCA. Correlation and agreement for MCI between MMSE and MoCA were analyzed group differences in cognition were evaluated and multiple logistic regression model was used to clarify risk factors for MCI. Demographic and health-related characteristics were collected by questionnaires. Education-specific cutoffs of total score were used to diagnose MCI. Objective cognition was assessed by Chinese versions of MMSE and MoCA, and total score and subscores of cognitive domains were calculated for each. ![]() We conducted a cross-sectional analysis of 4923 adults aged ≥55 years from the Community-based Cohort Study on Nervous System Diseases. However, their comparison on which is best suited to assess cognition is scarce in samples from multiple regions of China. The Mini-Mental State Examination (MMSE) and the Montreal Cognitive Assessment (MoCA) are the most commonly used scales to detect mild cognitive impairment (MCI) in population-based epidemiologic studies. ![]()
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