基于Wnt/β-catenin通路及炎症因子的种植体周围感染风险预测模型构建及效能验证OA

Objective:To investigate the influencing factors of peri-implant infection,and establish a risk prediction model for peri-implant infection based on Wnt/β-catenin pathway factors and verify its efficacy.Methods:Totally 239 pa-tients with dental implants from January 2022 to June 2024 were prospectively selected and divided into the infection group(n=51)and the non-infection group(n=188)based on whether peri-implant infection occurred within 12 months after im-plant restoration.Compare the clinical relevant data and the differences in the levels of Wnt/β-catenin pathway-related factors between the two groups of patients.Binary Logistic regression was used to analyze the influencing factors of peri-implant in-fection in patients with implant denture,and a risk prediction model was constructed.The receiver operating characteristic(ROC)curve was used to analyze the predictive value of Wnt mRNA,β-catenin mRNA,interleukin-6(IL-6)and tumor necro-sis factor-alpha(TNF-α)for peri-implant infection.Results:There was a statistically significant difference in smoking history and diabetes between the two groups(P<0.05).The Wnt mRNA and β-catenin mRNA in the infection group were lower than those in the non-infection group,while the IL-6 and TNF-α were higher(P<0.05).Binary Logistic regression analysis showed that the Hosmer-Lemeshow test result indicating a good fit of the joint prediction model.Diabetes mellitus,low Wnt mRNA,low β-catenin mRNA,high IL-6,and high TNF-α were independent risk factors for peri-implant infection in patients with im-plant denture(P<0.05).The AUC of the diabetes,Wnt mRNA,β-catenin mRNA,IL-6,TNF-α combined prediction was higher than that of each individual factor(P<0.05).Conclusion:Wnt/β-catenin pathway related factors and diabetes melli-tus are independent risk factors for peri-implant infection in patients with implant-supported dentures.The risk prediction model jointly constructed has a high prediction efficiency for peri-implant infection.