口腔种植患者早期种植失败的影响因素及其列线图预测模型构建OA

Objective:To explore the influencing factors of early implantation failure(IF)in oral implantation pa-tients and construct a nomogram model for predicting implantation failure.Methods:A retrospective analysis was conducted on the data of 348 patients with oral implants(592 implants)from April 2020 to April 2023,were assigned into successful group and IF group.Logistic regression model was used to screen for factors related to early IF.R software was applied to con-struct a nomogram model for predicting early IF.The receiver operating characteristic(ROC)curve and calibration curve were used to internally validate the predictive performance of the model.The decision curve was used to analyze clinical applicabil-ity.Results:There were 49 early implantation failure,with a failure rate of 8.28%(49/592).There were great differences in proportion of diabetes,proportion of regular tooth cleaning,sclerotin type IV,implant diameter,surface treatment technology between IF group and the successful group(P<0.05).Diabetes(OR=2.152,95%CI:1.085～4.267),irregular tooth clean-ing(OR=2.344,95%CI:1.163～4.721),sclerotin type IV(OR=5.100,95%CI:2.032～8.801),implant diameter≤3.5 mm(OR=3.301,95%CI:1.620～6.724),non-sandblasted with large grits and acid-etched(SLA)surface treatment(OR=3.286,95%CI:1.692～6.383)were risk factors for early IF in oral implantation.Internal validation showed that the area under the curve(AUC)of the prediction model was 0.837(95%CI:0.771～0.902).The probability for predicting early IF using the calibration curve was close to the actual probability,and the goodness of fit HL test showed that χ2=7.523,P=0.377.The decision curve showed that there was a higher net benefit when the threshold probability of the model was between 2%and 58%.Conclusion:The nomogram based on diabetes,regular dental cleaning,sclerotin,implant diameter,and surface treatment technology can better predict the risk of early IF in patients with oral implantation.