关键词: 牙周炎, 牙种植体, 种植体周围炎, 列线图预测模型

Abstract:

Objective To analyze the risk factors of peri-implantitis after dental implants in patients with periodontitis, and construct a nomogram prediction model. Methods A total of 203 patients were included into the study, and divided into modeling group(n=142) and validation group(n=61) by random sampling. Based on the independent risk factors of peri-implantitis in patients with periodontitis, the Logistic risk prediction model was established. The model was internally verified by Bootstrap method and the external verification was completed by the verification group. Hosmer-Lemeshow test(H-L test) and the area under the receiver operating characteristic(ROC) curve was used to evaluate the prediction model. Results Smoking history, diabetes history, irregular periodontal treatment, thickness of peri-implant mucosa<2 mm, anterior teeth implantation and adhesive restoration were the independent risk factors for peri-implantitis after dental implantation in patients with periodontitis(P<0.05). According to the above risk factors, a nomogram model was constructed to predict the occurrence of peri-implantitis in patients with periodontitis. H-L test had a significant level of 0.536. The calibration curve showed that the predicted values of the modeling group and the verification group were basically consistent with the measured values. The area under the curve(AUC)of the model group was 0.906, indicating that the model had good prediction accuracy.Conclusion The risk prediction model, consisting of smoking history, diabetes history, irregular periodontal treatment, thickness of peri-implant mucosa<2 mm, anterior teeth implantation and adhesive restoration, may effectively predict the incidence ofperi-implantitis after dental implants in patients with periodontitis.

Key words: periodontitis, dental implant, peri-implantitis, nomogram predictive model