Objectives: Given the rising number of older people with HIV (PWH) and the overlap in cognitive dysfunction profiles in HIV-associated neurocognitive disorders (HAND) and Alzheimer's disease and its precursor, amnestic mild cognitive impairment (aMCI), methods are needed to distinguish aMCI/Alzheimer's disease from HAND. As an early indicator of Alzheimer's disease, we examined whether olfactory dysfunction could help to distinguish between aMCI/Alzheimer's disease and HAND among PWH.
Design: An observational cohort study.
Methods: Eighty-one older (≥50 years) PWH (83% men, 65% white) from the California NeuroAIDS Tissue Consortium completed the University of Pennsylvania Smell Identification Test (UPSIT; higher scores = better smell identification) and a comprehensive seven-domain neuropsychological test battery and neuromedical evaluation. HAND was classified via Frascati criteria. High aMCI risk was defined as impairment (>1.0 SD below normative mean) on two of four delayed recall or recognition outcomes (at least one recognition impairment required) from the Hopkins Verbal Learning Test-Revised and the Brief Visuospatial Memory Test-Revised. We examined UPSIT scores in relation to aMCI risk and HAND status, and continuous memory scores considering adjustments for demographics and relevant clinical or HIV disease characteristics.
Results: Fifty-seven participants were classified with HAND (70%) and 35 participants were classified as high aMCI risk (43%). UPSIT scores were lower (worse) in the high versus low aMCI risk group [F (1,76) = 10.04, P = 0.002], but did not differ by HAND status [F (1,76) = 0.62, P = 0.43]. UPSIT scores positively correlated with all memory outcomes (Ps < 0.05).
Conclusion: Olfactory assessments may help in detecting early aMCI/Alzheimer's disease among PWH and allow for appropriate and early disease intervention.
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http://dx.doi.org/10.1097/QAD.0000000000002761 | DOI Listing |
Alzheimers Dement
December 2024
Wake Forest University School of Medicine, Winston-Salem, NC, USA.
Background: Vascular-based dementia risk scores (VDRS) which reliably predict risk of Alzheimer's disease and related dementias (ADRDs), may be useful to identify at-risk individuals for secondary prevention trials. Dementia risk scores have typically focused on predicting ADRD-associated symptoms, with fewer studies assessing capacity for detecting individuals with underlying brain pathologies. We compare the predictive value of two vascular-based risk scores (CAIDE and Reitz VDRSs) for discriminating AD-related histopathological and structural abnormalities, further considering race and gender differences.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Banner Sun Health Research Institute, Phoenix, AZ, USA.
Background: Mild Cognitive Impairment (MCI) is a pre-dementia state where impaired cognitive domains (memory, executive, visuospatial processing, language) may predict underlying pathology, e.g. Alzheimer's disease(AD), Lewy body (LB), and other.
View Article and Find Full Text PDFDiabetes Obes Metab
December 2024
Department of Endocrinology, Endocrine and Metabolic Disease Medical Center, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China.
Aims: To explore serum exosomal microRNAs (miRNAs) as risk biomarkers for early detection of cognitive impairment in type 2 diabetes mellitus (T2DM) patients.
Materials And Methods: This study included two phases: a discovery phase and a validation phase. To detect adipose tissue exosomal biomarkers for T2DM patients, small RNA sequencing was conducted on a discovery population consisting of six T2DM patients and five subjects with normal glucose tolerance.
J Int Neuropsychol Soc
December 2024
University of Michigan, Ann Arbor, MI, USA.
Objective: Validated computerized assessments for cognitive functioning are crucial for older individuals and those at risk of cognitive decline. The National Institutes of Health (NIH) Toolbox Cognition Battery (NIHTB-CB) exhibits good construct validity but requires validation in diverse populations and for adults aged 85+. This study uses data from the Assessing Reliable Measurement in Alzheimer's Disease and cognitive Aging study to explore differences in the factor structure of the NIHTB-CB for adults 85 and older, Black participants versus White participants, and those diagnosed as amnestic Mild Cognitive Impairment (aMCI) vs cognitively normal (CN).
View Article and Find Full Text PDFJMIR Ment Health
December 2024
University of Miami Miller School of Medicine, 1120 NW 14th Street, Miami, US.
Background: The early detection of mild cognitive impairment (MCI) is crucial for providing treatment before further decline. Cognitive challenge tests such as the Loewenstein-Acevedo Scales for Semantic Interference and Learning (LASSI-L™) can identify individuals at highest risk for cognitive deterioration. Performance on elements of the LASSI-L, particularly proactive interference, correlate with the presence of critical Alzheimer's Disease (AD) biomarkers.
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