Chita State Medical Academy, Ministry of Health of the Russian Academy, Chita, Russia.
Bull Exp Biol Med. 2022 Aug;173(4):415-418. doi: 10.1007/s10517-022-05559-3. Epub 2022 Sep 5.
The levels of markers of endothelial dysfunction, MMP9, and polymorphisms of genes of vascular tone regulation factors, platelet receptors, vascular wall remodeling and prothrombotic factors, and markers of endothelial dysfunction were studied in patients with complicated and uncomplicated diabetes mellitus. It was found that the neural network analysis of these data makes it possible to predict the development of diabetic foot syndrome with an accuracy of 92.9%. The high accuracy of neural network analysis is due to the multifactorial nature of the diabetic foot syndrome.
研究了伴有和不伴有并发症的糖尿病患者的血管内皮功能障碍标志物（MMP9）水平、血管张力调节因子、血小板受体、血管壁重构和促血栓形成因子的基因多态性以及内皮功能障碍标志物。研究发现，对这些数据进行神经网络分析可以以 92.9%的准确率预测糖尿病足综合征的发展。神经网络分析的高准确率归因于糖尿病足综合征的多因素性质。
