Researchers at Lund University in Sweden have combined data from simple blood tests and simple memory tests to develop an algorithm that predicts who will develop Alzheimer’s disease in the future with great accuracy.The survey results are published at Nature medicine..
Approximately 20-30% of patients with Alzheimer’s disease are misdiagnosed by specialized medical institutions, making the diagnosis even more difficult in primary care. Measuring protein tau and beta-amyloid via cerebrospinal fluid samples or PET scans can significantly improve accuracy. However, these methods are expensive and are only available in a relatively small number of specialized memory clinics around the world. Early and accurate diagnosis of AD is becoming even more important, hoping that new drugs that slow the progression of the disease will be readily available.
A research group led by Professor Oscar Hanson of Lund University has shown that a combination of relatively easily accessible tests can be used for the early and reliable diagnosis of Alzheimer’s disease. The study examined 340 patients with mild memory impairment in the Swedish BioFINDER study, and the results were confirmed in a North American study of 543 patients.
A combination of a simple blood test (measurement of tau protein variants and risk genes for Alzheimer’s disease) and three simple cognitive tests that take only 10 minutes to complete, with more than 90% certainty for patients in 4 years It was predicted that Alzheimer’s disease would develop within the time. This simple prognostic algorithm was far more accurate than clinical predictions by dementia specialists who examined patients, but Oscar Hanson said expensive cerebrospinal fluid tests and PET scans were not available.
“Our algorithm is based on blood analysis of phosphorylated tau and risk genes for Alzheimer’s disease and combines memory and executive function tests. Currently, we have mild memory impairment with Alzheimer’s disease. We have developed a prototype online tool for estimating individual risks in a person. Dementia within 4 years, ”explains Sebastian Palmukvist, lead author of the study and associate professor at the University of Lund.
One of the obvious advantages of this algorithm is that it was developed for use in the clinic without access to advanced diagnostic equipment. Therefore, in the future, algorithms can make a big difference in the diagnosis of Alzheimer’s disease within primary health care.
“This algorithm is currently being tested only in patients tested in memory clinics and we hope to be validated for use in primary health care and developing countries with limited resources,” Sebastian Palmqvist said. Mr. says.
Simple diagnostic tools for Alzheimer’s disease can also improve drug development because it is difficult to recruit suitable study participants in a time- and cost-effective manner.
“This algorithm allows early recruitment of people with Alzheimer’s disease, a time when new drugs are likely to slow the progression of the disease,” concludes Professor Oscar Hanson.
Simple diagnostic tools predict individual risk of Alzheimer’s disease-ScienceDaily
https://www.sciencedaily.com/releases/2021/05/210524161701.htm Simple diagnostic tools predict individual risk of Alzheimer’s disease-ScienceDaily