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Introduction: We examined the association between cerebrospinal fluid (CSF)‐derived biomarkers of Alzheimer's disease and neuropsychiatric symptoms (NPS) in older non‐demented adults. Methods: We included 784 persons (699 cognitively unimpaired, 85 with mild cognitive impairment) aged ≥ 50 years who underwent CSF amyloid beta (Aβ42), hyperphosphorylated tau 181 (p‐tau), and total tau (t‐tau) as well as NPS assessment using Beck Depression and Anxiety Inventories (BDI‐II, BAI), and Neuropsychiatric Inventory Questionnaire (NPI‐Q). Results: Lower CSF Aβ42, and higher t‐tau/Aβ42 and p‐tau/Aβ42 ratios were associated with BDI‐II and BAI total scores, clinical depression (BDI‐II ≥ 13), and clinical anxiety (BAI ≥ 10), as well as NPI‐Q–assessed anxiety, apathy, and nighttime behavior. Discussion: CSF Aβ42, t‐tau/Aβ42, and p‐tau/Aβ42 ratios were associated with NPS in community‐dwelling individuals free of dementia. If confirmed by a longitudinal cohort study, the findings have clinical relevance of taking into account the NPS status of individuals with abnormal CSF biomarkers. [ABSTRACT FROM AUTHOR]

Background: With the increasing number of elderly, it is necessary to have a brief screening tool for detecting people with cognitive impairment. Our study aimed to standardise and validate the Slovenian version of ADAS‐Cog for a cognitive screening of people with MCI or AD. Method: We included 26 people with MCI, 20 with AD, and 45 healthy controls. All participants completed the Slovenian version of ADAS‐Cog. We calculated the mean age, years of education, and ADAS‐Cog score for each group and compared them ANOVA. In the end, we draw the Receiver operator curve (ROC), calculated sensitivity, specificity, and likelihood ratio. Result: People with AD had the highest total ADAS‐Cog score, followed by MCI and healthy controls (26 SD 12 vs 19 SD 7 vs 8 SD 2 points, p<0.001). There were no statistically significant differences between groups in age or years of education. The area under the ROC for MCI was 0.97 (CI 0.9 to 1; p<0.0001) and for the AD was 0.98 (CI 0.95 to 1; p<0.0001). Optimal the cut‐off for the ADAS‐Cog for MCI was 11/12 points. Sensitivity was 92% (CI 76% to 99%), specificity 96% (CI 85% to 99%), and likelihood ratio 21. The optimal cut‐off for AD was 14/15 points. Sensitivity was 95% (CI 76% to 100%), specificity 100% (CI 92% to 100%). Conclusion: The optimal cut‐off score for Slovenian population is 11/12 points for MCI and 14/15 points for people with AD dementia. We may conclude that ADAS‐Cog is a reliable screening tool in our population. [ABSTRACT FROM AUTHOR]