| 丁晓琳,曹珏玲,肖静雯.全冠修复后牙牙体缺损后食物嵌塞的影响因素分析及其预测模型建立.[J].中南医学科学杂志.,2025,(6):1049-1052, 1140. |
| 全冠修复后牙牙体缺损后食物嵌塞的影响因素分析及其预测模型建立 |
| Analysis of influencing factors of food impaction in dental defects after full crown restoration and establishment of a predictive model |
| 投稿时间：2025-03-21 修订日期：2025-08-28 |
| DOI：10.15972/j.cnki.43-1509/r.2025.06.027 |
| 中文关键词: 全冠修复治疗 牙体缺损 食物嵌塞 影响因素 预测模型 |
| 英文关键词:full crown restoration tooth defect food impaction influencing factors predictive model |
| 基金项目:南通市卫生健康委员会科研课题专项(QN2024082) |
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| 中文摘要: |
| 目的分析全冠修复后牙牙体缺损后食物嵌塞的影响因素,并构建其预测模型。 方法回顾性选取本院收治的全冠修复后牙牙体缺损的患者150例,采用随机数字表法并按照7∶3的比例,将其分为建模组(n＝105)与验证组(n＝45)。建模组患者按照是否发生食物嵌塞分为食物嵌塞组(n＝39)与无食物嵌塞组(n＝66)。采用单因素和二元Logistic回归分析全冠修复后食物嵌塞的影响因素,并构建其预测模型。采用ROC、校准曲线以及DCA曲线判断模型应用价值。 结果建模组与验证组患者资料比较,差异无显著性(P＞0.05)。牙齿松动度Ⅱ度、修复体与健康邻牙触点不良、修复体〖XC牙合K;%105%105,JZ〗平面与邻牙不一致、邻接面有龋坏或旧充填体是全冠修复后牙牙体缺损后食物嵌塞的影响因素(P＜0.05)。成功构建的食物嵌塞风险预测模型在建模组中的AUC为0.91,验证组为0.88。校准曲线分析显示预测概率与实际风险一致性高,斜率接近1；DCA曲线分析表明模型在较宽阈值范围内具有正向净收益。结论牙齿松动度Ⅱ度、修复体与健康邻牙触点不良、修复体〖XC牙合K;%105%105,JZ〗平面与邻牙不一致、邻接面有龋坏或旧充填体是全冠修复后牙牙体缺损后食物嵌塞的影响因素。成功构建的预测模型具有良好的预测准确性和临床效用。 |
| 英文摘要: |
| AimTo analyze the influencing factors of food impaction in dental defects after full crown restoration and construct a predictive model for it. MethodsTotallly 150 patients with dental defects after full crown restoration admitted to our hospital were retrospectively selected and randomly divided into a modeling group (n＝105) and a validation group (n＝45) in a 7∶3 ratio using a random number table method. Patients in the modeling group were divided into a food impaction group (n＝39) and a non-food impaction group (n＝66) based on whether food impaction occurred. Single factor and binary Logistic regression were used to analyze the influencing factors of food impaction after full crown restoration, and a prediction model was established. ROC, calibration curve and DCA curve were used to determine the application value of the model. ResultsThere was no statistically significant difference in patient data between the modeling group and the validation group (P＞0.05). Tooth looseness Ⅱ degree, poor contact between the restoration and healthy adjacent teeth, inconsistency between the occlusal plane of the restoration and adjacent teeth, and presence of caries or old fillings on the adjacent surface were the influencing factors of food impaction after full crown restoration of tooth defects (P＜0.05). The AUC of the successfully constructed food impaction risk prediction model was 0.91 in the modeling group and 0.88 in the validation group. Calibration curve analysis showed a high consistency between predicted probability and actual risk, with a slope close to 1; DCA curve analysis indicates that the model has positive net returns within a wide threshold range. ConclusionThe looseness of teeth Ⅱ degree, poor contact between the restoration and healthy adjacent teeth, inconsistency between the occlusal plane of the restoration and adjacent teeth, and presence of caries or old fillings on the adjacent surface are factors that affect food impaction after full crown restoration of tooth defects. The successfully constructed prediction model has good prediction accuracy and clinical utility. |
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