{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,13]],"date-time":"2026-10-13T18:22:04Z","timestamp":1791915724081,"version":"4.3.4"},"reference-count":62,"publisher":"SAGE Publications","issue":"2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JAD"],"published-print":{"date-parts":[[2021,9,14]]},"abstract":"<jats:p>Background: Longitudinal, but not cross-sectional, cognitive testing is one option proposed to define transitional cognitive decline for individuals on the Alzheimer\u2019s disease continuum. Objective: Compare diagnostic accuracy of cross-sectional subtle objective cognitive impairment (sOBJ) and longitudinal objective decline (\u0394OBJ) over 30 months for identifying 1) cognitively unimpaired participants with preclinical Alzheimer\u2019s disease defined by elevated brain amyloid and tau (A+T+) and 2) incident mild cognitive impairment (MCI) based on Cogstate One Card Learning (OCL) accuracy performance. Methods: Mayo Clinic Study of Aging cognitively unimpaired participants aged 50\u200a+\u200awith amyloid and tau PET scans (n\u200a=\u200a311) comprised the biomarker-defined sample. A case-control sample of participants aged 65\u200a+\u200aremaining cognitively unimpaired for at least 30 months included 64 who subsequently developed MCI (incident MCI cases) and 184 controls, risk-set matched by age, sex, education, and visit number. sOBJ was assessed by OCL z-scores. \u0394OBJ was assessed using within subjects\u2019 standard deviation and annualized change from linear regression or linear mixed effects (LME) models. Concordance measures Area Under the ROC Curve (AUC) or C-statistic and odds ratios (OR) from conditional logistic regression models were derived. sOBJ and \u0394OBJ were modeled jointly to compare methods. Results: sOBJ and \u0394OBJ-LME methods differentiated A+T+ from A-T- (AUC\u200a=\u200a0.64, 0.69) and controls from incident MCI (C-statistic\u200a=\u200a0.59, 0.69) better than chance; other \u0394OBJ methods did not. \u0394OBJ-LME improved prediction of future MCI over baseline sOBJ (p\u200a=\u200a0.003) but not over 30-month sOBJ (p\u200a=\u200a0.09). Conclusion: Longitudinal decline did not offer substantial benefit over cross-sectional assessment in detecting preclinical Alzheimer\u2019s disease or incident MCI.<\/jats:p>","DOI":"10.3233\/jad-210251","type":"journal-article","created":{"date-parts":[[2021,8,6]],"date-time":"2021-08-06T12:58:01Z","timestamp":1628254681000},"page":"861-877","source":"Crossref","is-referenced-by-count":12,"title":["A Comparison of Cross-Sectional and Longitudinal Methods of Defining Objective Subtle Cognitive Decline in Preclinical Alzheimer\u2019s Disease Based on Cogstate One Card Learning Accuracy Performance"],"prefix":"10.1177","volume":"83","author":[{"given":"Shehroo B.","family":"Pudumjee","sequence":"first","affiliation":[{"name":"Division of Neurocognitive Disorders, Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Emily S.","family":"Lundt","sequence":"additional","affiliation":[{"name":"Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sabrina M.","family":"Albertson","sequence":"additional","affiliation":[{"name":"Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mary M.","family":"Machulda","sequence":"additional","affiliation":[{"name":"Division of Neurocognitive Disorders, Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Walter K.","family":"Kremers","sequence":"additional","affiliation":[{"name":"Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Clifford 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