Mayo Normative Studies: regression-based normative data for remote self-administration of the Stricker Learning Span, Symbols Test and Mayo Test Drive Screening Battery Composite and validation in individuals with Mild Cognitive Impairment and dementia.
| Autor: | Stricker NH; Department of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota, USA., Frank RD; Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA., Boots EA; Department of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota, USA., Fan WZ; Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA., Christianson TJ; Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA., Kremers WK; Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA., Stricker JL; Department of Information Technology, Mayo Clinic, Rochester, Minnesota, USA., Machulda MM; Department of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota, USA., Fields JA; Department of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota, USA., Lucas JA; Department of Psychiatry and Psychology, Mayo Clinic in Florida, Jacksonville, Florida, USA., Hassenstab J; Department of Neurology and Psychological & Brain Sciences, Washington University in St. Louis, Saint Louis, Missouri, USA., Aduen PA; Department of Psychiatry and Psychology, Mayo Clinic in Florida, Jacksonville, Florida, USA., Day GS; Department of Neurology, Mayo Clinic in Florida, Jacksonville, Florida, USA., Graff-Radford NR; Department of Neurology, Mayo Clinic in Florida, Jacksonville, Florida, USA., Jack CR Jr; Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA., Graff-Radford J; Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA., Petersen RC; Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA. |
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| Jazyk: | angličtina |
| Zdroj: | MedRxiv : the preprint server for health sciences [medRxiv] 2024 Sep 16. Date of Electronic Publication: 2024 Sep 16. |
| DOI: | 10.1101/2024.09.14.24313641 |
| Abstrakt: | Objective: Few normative data for unsupervised, remotely-administered computerized cognitive measures are available. We examined variables to include in normative models for Mayo Test Drive (a multi-device remote cognitive assessment platform) measures, developed normative data, and validated the norms. Method: 1240 Cognitively Unimpaired (CU) adults ages 32-100-years (96% white) from the Mayo Clinic Study of Aging and Mayo Alzheimer's Disease Research Center with Clinical Dementia Rating ® of 0 were included. We converted raw scores to normalized scaled scores and derived regression-based normative data adjusting for age, age 2 , sex and education (base model); alternative norms are also provided (age+age 2 +sex; age+age 2 ). We assessed additional terms using an a priori cut-off of 1% variance improvement above the base model. We examined low test performance rates (<-1 standard deviation) in independent validation samples (n=167 CU, n=64 mild cognitive impairment (MCI), n=14 dementia). Rates were significantly different when 95% confidence intervals (CI) did not include the expected 14.7% base rate. Results: No model terms met the a priori cut-off beyond the base model, including device type, response input source (e.g., mouse, etc.) or session interference. Norms showed expected low performance rates in CU and greater rates of low performance in MCI and dementia in independent validation samples. Conclusion: Typical normative models appear appropriate for remote self-administered MTD measures and are sensitive to cognitive impairment. Device type and response input source did not explain enough variance for inclusion in normative models but are important for individual-level interpretation. Future work will increase inclusion of individuals from under-represented groups. |
| Databáze: | MEDLINE |
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