Quantitative Evaluation of Links between Inflammatory Markers and Alzheimer’s Disease
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Objectives. To obtain quantitative assessment of the link between Alzheimer’s disease (AD) and inflammatory markers such as the enzymatic activity of leukocyte elastase (LE) and the functional activity of α1-proteinase inhibitor (α1-PI) using a logistical regression model, which was then applied to predicting the probability of AD in patients with mild cognitive impairment syndrome (MCI). Materials and methods. Mathematical analysis was run using a database containing the results of measurements of these immunological parameters (enzymatic activity of LE and functional activity of α1-PI) in the plasma of 91 patients with verified diagnoses of AD on in-patient or out-patient treatment and 37 healthy subjects of comparable age without clinical indications of somatic or mental pathology. Results and conclusions. A logistical regression model was constructed linking LE and α1-PI with the probability that a patient has AD. The model has favorable statistical properties and high predictive effectiveness. These results allow individual patients’ LE and α1-PI values to be used to generate quantitative probabilities that patients have AD.
KeywordsAlzheimer’s disease mild cognitive impairment leukocyte elastase α1-proteinase inhibitor logistical regression
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