Background: Carrying out routine diabetes risk assessment and prediction is conducive to controlling the incidence of diabetes. Previous studies have confirmed that tongue features can reflect changes in glucose metabolism. We want to find the key tongue features related to glucose metabolism for early warning of prediabetes and diabetes. This will benefit the prevention and control of diabetes.
Methods: We investigated 719 subjects in Shuguang Hospital affiliated with Shanghai University of TCM in Shanghai, China, during the August 2018 – December 2019 period. We used PCA to reconstruct 25 new features on the basis of the original features, and used logistic regression to analyze these new features. Based on the factor loading method, we associate the new features with the original features. Finally, we determined the key tongue features and change patterns related to prediabetes risk and diabetes risk.
Results: For the prediabetes, TB-ASM, TC-ASM and TB-Cr are protective factors. TB-CON, TC-CON, TB-MEAN, TC-MEAN, TB-ENT and TC-ENT are risk factors. For the diabetes, TB-a, TB-S, TB-Cr, TB-b and TC-b are protective factors, and Per-all and TB-Cb are risk factors.
Conclusion: The PCA eliminates the redundancy of original features and refines the original features. The PCA combined with logistic regression found the key tongue features reflecting glucose metabolism, and clarified the significance of the changes in these tongue features in the prediabetes and diabetes population. This study provides a research foundation for using tongue features to implement early warning of diabetes risk.