Frequency and case identification of dementia with Lewy bodies using the revised consensus criteria.

OBJECTIVE: To find the proportion of dementia with Lewy bodies (DLB) in a referral cohort of patients with a first-time diagnosis of mild dementia. BACKGROUND: The proportion of DLB among the dementia sufferers is not known and the clinical consensus criteria have low sensitivity. We employed the revised DLB criteria to study the proportion with DLB in a community sample of patients with mild dementia. METHODS: From March 2005 to March 2007, we included 196 patients from referrals to all geriatric medicine, old age psychiatry and neurology outpatient clinics in Rogaland and Hordaland counties in Western Norway. Standardized clinical instruments and diagnostic criteria were employed. RESULTS: 65% had Alzheimer dementia, 20% DLB (16% probable DLB), 5.6% vascular dementia, 5.6% Parkinson disease with dementia, 2.0% frontotemporal dementia and 1.5% alcoholic dementia. There were no significant differences in the proportion with DLB according to age bands and dementia severity groups. The revised criteria for a clinical diagnosis of DLB increased the proportion of probable DLB by 25% compared to the previous criteria. CONCLUSION: DLB is common in patients with mild dementia, and is the second most common type of dementia. The introduction of new clinical criteria for DLB leads to an increase in the proportion diagnosed with probable DLB.

A novel blood test for the early detection of Alzheimer's disease.

Despite a variety of testing approaches, it is often difficult to make an accurate diagnosis of Alzheimer's disease (AD), especially at an early stage of the disease. Diagnosis is based on clinical criteria as well as exclusion of other causes of dementia but a definitive diagnosis can only be made at autopsy. We have investigated the diagnostic value of a 96-gene expression array for detection of early AD. Gene expression analysis was performed on blood RNA from a cohort of 203 probable AD and 209 cognitively healthy age matched controls. A disease classification algorithm was developed on samples from 208 individuals (AD = 103; controls = 105) and was validated in two steps using an independent initial test set (n = 74; AD = 32; controls = 42) and another second test set (n = 130; AD = 68; controls = 62). In the initial analysis, diagnostic accuracy was 71.6 ± 10.3%, with sensitivity 71.9 ± 15.6% and specificity 71.4 ± 13.7%. Essentially the same level of agreement was achieved in the two independent test sets. High agreement (24/30; 80%) between algorithm prediction and subjects with available cerebrospinal fluid biomarker was found. Assuming a clinical accuracy of 80%, calculations indicate that the agreement with underlying true pathology is in the range 85%-90%. These findings suggest that the gene expression blood test can aid in the diagnosis of mild to moderate AD, but further studies are needed to confirm these findings.