临床口腔医学杂志2026，Vol.42Issue(4)：228-232,5.DOI:10.3969/j.issn.1003-1634.2026.04.010
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
Analysis of influencing factors of early implantation failure in oral implantation patients and construction of a nomogram prediction model
摘要
Abstract
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.关键词
口腔种植/早期种植失败/影响因素/列线图预测模型Key words
Oral implantation/Early implantation failure/Influencing factors/Nomogram prediction model分类
医药卫生引用本文复制引用
王美芳,杜艳锋,刘杨,付欣..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[J].临床口腔医学杂志,2026,42(4):228-232,5.基金项目
邯郸市科学技术研究与发展计划项目(编号23422083443) （编号23422083443）
