Results suggest that CRP may be a sensitive marker for subtle executive dysfunction in SLE, possibly due to central nervous system microvascular autoimmune processes. Early treatment of vasculopathy in SLE may help prevent microvascular disease and associated cognitive dysfunction.
This study examined the validity of semantic clustering indexes developed for the Hopkins Verbal Learning Test-Revised (HVLT-R). Participants were healthy adults and patients diagnosed with probable dementia of the Alzheimer's type (DAT) or vascular dementia (VaD). Neuropsychological test records, which included the HVLT-R, were collected from an archival database. Ratio semantic clustering (RSC) scores were calculated for each HVLT-R recall trial. Factor analysis including RSC and other HVLT-R scores yielded high loadings of RSC scores on a distinct clustering factor. Group comparisons showed that normal controls had higher HVLT-R recall and RSC scores than DAT and VaD patients. Only the DAT group showed significant decline in RSC from the final learning trial to delayed recall, and only the DAT group performed more poorly than controls on other semantic processing measures (e.g., HVLT-R semantically-related false positives, Boston Naming Test). Results suggest that these newly developed semantic clustering indexes are easily calculated and potentially useful for discriminating between elder controls and dementia patients.
The Brief Visuospatial Memory Test - Revised (BVMT-R) is a reliable and well-validated test of visual-spatial memory with six equivalent, alternate forms. While the BVMT-R is commonly used in the evaluation of patients with craniocerebral trauma, schizophrenia, and multiple sclerosis (MS), the range of variables is limited. In this study, we developed new BVMT-R error and recall consistency indices. Inter-rater reliability and validity for the new indices were examined in 70 MS patients and 72 healthy volunteers. In addition to poorer general performance, MS patients made more intrusions and qualitative errors, and showed a trend toward poorer BVMT-R recall consistency. Findings suggest these error types and inconsistent learning contribute to poorer recall of visual material in MS.
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