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Objectives: To describe the psychometric properties of the Picture‐based Memory Impairment Screen (PMIS) in a multidisciplinary memory disorder center serving an ethnically and educationally diverse community. Design: Cross‐sectional cohort study. Setting: Montefiore Center for Aging Brain (CAB) Participants: Individuals with cognitive complaints (N=405; average age 76±10, 66% female). Measurements: A geriatrician or neurologist administered the PMIS, and a neuropsychologist administered the Blessed Information, Memory, and Concentration (BIMC) test and determined whether participants had dementia, mild cognitive impairment (MCI), or subjective cognitive complaints (SCC). Results: Mean PMIS scores were 4.0±2.6 in participants with dementia (n=194), 6.8±1.5 in those with MCI (n= 155), and 7.0±1.8 in those with SCC (n= 56) (p<.001). PMIS scores showed similar significant linear trends when analyzed according to ethnicity, education, sex, and language. The PMIS was negatively correlated with BIMC score (p<.001). The PMIS had positive predictive value of 77%, negative predictive value of 73%, sensitivity of 68%, and specificity of 81% to detect all‐cause dementia in this population of individuals with cognitive complaints. Conclusion: The PMIS is a quick, valid screening tool to identify cognitive impairment in individuals with cognitive complaints that accounts for cultural and educational differences. [ABSTRACT FROM AUTHOR]

Background: Efficacy and validity of the MoCA for cognitive screening in ethnoculturally and linguistically diverse settings is unclear. We sought to examine the utility and discriminative validity of the Spanish and English MoCA versions to identify cognitive impairment among diverse community‐dwelling older adults. Methods: Participants aged ≥65 with cognitive concerns attending outpatient primary care in Bronx, NY, were recruited. MoCA and neuropsychological measures were administered in Spanish or English, and a neuropsychologist determined cognitive status (normal with subjective cognitive concerns [SCC], mild cognitive impairment [MCI], and dementia). One‐way ANOVA compared cognitive statuses. ROC analyses identified optimal MoCA cutpoints for discriminating possible cognitive impairment. Results: There were 231 participants, with mean age 73, 72% women, 43% Hispanic; 39% Black/African American; 113 (49%) completed testing in English and 118 (51%) in Spanish. Overall MoCA mean was 17.7 (SD = 4.3). Neuropsychological assessment identified 90 as cognitively normal/SCC, average MoCA 19.9 (SD = 4.1), 133 with MCI, average MoCA 16.6 (SD = 3.7), and 8 with dementia, average MoCA 10.6 (SD = 3.1). Mean English MoCA average was 18.6 (SD = 4.1) versus Spanish 16.7 (SD = 4.3). The published cutpoint ≤23 for MCI yielded a high false‐positive rate (79%). ROC analyses identified ≤18.5 as the score to identify MCI or dementia using the English MoCA (65% sensitivity; 77% specificity) and ≤16.5 for the Spanish MoCA (64% sensitivity;73% specificity) in this sample of older adults with cognitive concerns. Conclusions: Current MoCA cutpoints were inappropriately high in a culturally/linguistically diverse urban setting, leading to a high false‐positive rate. Lower Spanish and English MoCA cutpoints may improve diagnostic accuracy for identifying cognitive impairment in this group, highlighting the need for the creation and validation of accurate cognitive screeners for ethnoculturally and linguistically diverse older adults. [ABSTRACT FROM AUTHOR]