AUTHOR=Zhou Lu , Lin Zhichuan , Jiao Bin , Liao Xinxin , Zhou Yafang , Li Hui , Shen Lu , Weng Ling 

TITLE=Consistency analysis and conversion model establishment of mini-mental state examination and montreal cognitive assessment in Chinese patients with Alzheimer’s disease

JOURNAL=Frontiers in Psychology

VOLUME=13

YEAR=2022

URL=https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2022.990666

DOI=10.3389/fpsyg.2022.990666

ISSN=1664-1078

ABSTRACT=<sec><title>Background</title><p>The Chinese version of the Mini-Mental State Examination (MMSE-C) and the Beijing version of the Montreal Cognitive Assessment (MoCA-BJ) are the most commonly used scales to screen for Alzheimer’s disease (AD) among Chinese patients; however, their consistency varies according to populations and languages. Equivalent conversion of MMSE-C and MoCA-BJ scores is important for meta-analysis.</p></sec><sec><title>Materials and methods</title><p>MMSE-C and MoCA-BJ scoring were performed on the enrolled patients with AD (<italic>n</italic> = 332). Consistency analysis of MMSE-C and MoCA-BJ scores of patients in the conversion groups was performed. The circle-arc method was used to convert the MMSE-C scores of the conversion groups into MoCA-BJ scores, and the conversion formula was generated. The MMSE-C data of the verification group was converted to MoCA-BJ according to the formula, and the consistency analysis of the original MoCA-BJ of the verification group and the converted MoCA-BJ was performed to verify the conversion model.</p></sec><sec><title>Results</title><p>The results of the consistency analysis of MMSE-C and MoCA-BJ in group A showed that the correlation coefficients of the total group, high education years subgroup, medium education years subgroup, and low education years subgroup were 0.905 (<italic>P</italic> &lt; 0.001), 0.874 (<italic>P</italic> &lt; 0.001), 0.949 (<italic>P</italic> &lt; 0.001), and 0.874 (<italic>P</italic> &lt; 0.001), respectively, with high consistency and statistical significance. After applying the circle-arc method for equivalent conversion, the consistency analysis results of the original and the converted MoCA-BJ of the patients in group B of the total group, high education years subgroup, medium education years subgroup, and low education years subgroup were 0.891 (<italic>P</italic> &lt; 0.001), 0.894 (<italic>P</italic> &lt; 0.001), 0.781 (<italic>P</italic> &lt; 0.001), 0.909 (<italic>P</italic> &lt; 0.001), respectively, with high consistency and statistical significance.</p></sec><sec><title>Conclusion</title><p>We established and validated a model of MMSE-C and MoCA-BJ score conversion for Chinese patients with AD using the circle-arc method. This model could be useful for multi-centers clinical trials and meta-analysis.</p></sec>