Researchers Develop Risk Index Tool to Help Predict Alzheimer’s
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Researchers have developed a new risk index tool that can help predict whether people age 65 and older have a high risk of developing Alzheimer’s.
Differential characteristics are pointed out in the image of the comparison of a normal aged brain (top) and an Alzheimer’s brain (bottom).
“This new risk index could be very important both for research and for people at risk of developing dementia and their families,” said study author Deborah E. Barnes. “The tool could also identify people who have no signs of dementia but should be monitored closely, potentially helping them maintain their thinking and memory skills and quality of life longer.”
The risk index is a 15-point scale. People who score eight or more points on the scale are at high risk of developing dementia in the next six years. Several of the items on the scale are well-known risk factors for Alzheimer’s, such as older age, low scores on tests of thinking skills, and having a gene that has been linked to the Alzheimer’s.
Other factors predicting dementia risk were more surprising: People who are underweight, do not drink alcohol, have had coronary bypass surgery, or are slow at performing physical tasks such as buttoning a shirt are more likely to develop dementia than people who do not have these risk factors.
To develop the index, researchers in the Cardiovascular Health Study examined 3,375 people with an average age of 76 and no evidence of dementia and followed them for six years. During that time, 480 of the people, or 14 percent, developed dementia. The researchers then determined which factors best predicted who would develop dementia and created the point index.
A total of 56 percent of those with high scores on the index developed dementia, compared to 23 percent of those with moderate scores and four percent of those with low scores. Overall, the index correctly classified 88 percent of the participants.
Barnes said the risk index will need to be validated with other studies, and she and her colleagues are evaluating whether a shorter, more simplified index could be as accurate as this index.