SAN JUAN, Puerto Rico, Dec. 13, 2004 -- The inability to identify the smell of lemons, lilac, leather and seven other odors predicts which patients with minimal to mild cognitive impairment (MMCI) will develop Alzheimer's Disease, according to a study presented today at the American College of Neuropsychopharmacology (ACNP) annual meeting. For patients with MMCI, the odor identification test was found to be a strong predictor of Alzheimer's Disease during follow-up, and compared favorably with reduction in brain volumes on MRI scan and memory test performance as potential predictors.

"Early diagnosis of Alzheimer's Disease is critical for patients and their families to receive the most beneficial treatment and medications," says lead researcher D.P. Devanand, MD, Professor of Clinical Psychiatry and Neurology at Columbia University and Co-Director of the Memory Disorders Center at the New York State Psychiatric Institute. "While currently there is no cure for the disease, early diagnosis and treatment can help patients and their families to better plan their lives."

Smell identification test results from Alzheimer's disease patients, MMCI patients and healthy elderly subjects were analyzed to select an optimal subset of fragrances that distinguished Alzheimer's and MMCI patients who developed the disease from healthy subjects and MMCI patients who did not develop Alzheimer's. Results of the 10-smell test, which can be administered in five to eight minutes, were analyzed in Dr. Devanand's study which evaluated 150 patients with MMCI every six months and 63 healthy elderly subjects annually, with average follow-up duration of five years. Inability to identify 10 specific odors (derived from the broader study) proved to be the best predictors for Alzheimer's Disease: strawberry, smoke, soap, menthol, clove, pineapple, natural gas, lilac, lemon and leather.

"Narrowing the list of odors can potentially expedite screening and help with early di
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Contact: Jill Lobliner
jlobliner@gymr.com
202-745-5100
GYMR
13-Dec-2004

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