Development of a Novel Self-administered Cognitive Assessment Tool and Normative Data for Older Adults.

BACKGROUND: Preexisting cognitive impairment in surgical patients is one of the leading risk factors for adverse cognitive outcomes such as postoperative delirium and postoperative cognitive dysfunction. We developed a self-administered tablet computer application intended to assess the individual risk for adverse postoperative cognitive outcomes. This cross-sectional study aimed to establish normative data for the tool. MATERIALS AND METHODS: Healthy volunteers aged 65 years and above were administered the Mini-Mental State Examination, Geriatric Depression Scale, and Consortium to Establish a Registry for Alzheimer's Disease-Neuropsychological Assessment Battery to assess cognitive health. All subjects completed the tablet computer application without assistance. Primary outcome measure was the test performance. Regression models were built for each cognitive domain score with the covariates age, sex, and education in cognitively healthy subjects. Demographically adjusted standard scores (z-scores) were computed for each subtest. RESULTS: A total of 283 participants (155 women, 128 men) were included in the final analysis. Participants' age was 73.8±5.2 years (mean±SD) and their level of education was 13.6±2.9 years. Mini-Mental State Examination score was 29.2±0.9 points, Geriatric Depression Scale score was 0.4±0.7 points, and Consortium to Establish a Registry for Alzheimer's Disease-Neuropsychological Assessment Battery total score was 98.7±5.7 points. Older age was associated with poorer performance in the visual recognition task and in Trail Making Test B (P<0.05 after Bonferroni-Holm adjustments). CONCLUSIONS: This study provides normative data for a novel self-administered tablet computer application that is ultimately designed to measure the individual risk for adverse postoperative cognitive outcomes in elderly patients.

The Montreal Cognitive Assessment: Normative Data from a German-Speaking Cohort and Comparison with International Normative Samples.

BACKGROUND: The Montreal Cognitive Assessment (MoCA) is used to evaluate multiple cognitive domains in elderly individuals. However, it is influenced by demographic characteristics that have yet to be adequately considered. OBJECTIVE: The aim of our study was to investigate the effects of age, education, and sex on the MoCA total score and to provide demographically adjusted normative values for a German-speaking population. METHODS: Subjects were recruited from a registry of healthy volunteers. Cognitive health was defined using the Mini-Mental State Examination (score ≥27/30 points) and the Consortium to Establish a Registry for Alzheimer's Disease-Neuropsychological Assessment Battery (total score ≥85.9 points). Participants were assessed with the German version of the MoCA. Normative values were developed based on regression analysis. Covariates were chosen using the Predicted Residual Sums of Squares approach. RESULTS: The final sample consisted of 283 participants (155 women, 128 men; mean (SD) age = 73.8 (5.2) years; education = 13.6 (2.9) years). Thirty-one percent of participants scored below the original cut-off (<26/30 points). The MoCA total score was best predicted by a regression model with age, education, and sex as covariates. Older age, lower education, and male sex were associated with a lower MoCA total score (p < 0.001). CONCLUSION: We developed a formula to provide demographically adjusted standard scores for the MoCA in a German-speaking population. A comparison with other MoCA normative studies revealed considerable differences with respect to selection of volunteers and methods used to establish normative data.