预测恒牙脱位损伤预后的多变量回归模型：牙周和牙髓分析

Multivariate Regression Models for Predicting the Prognosis of Luxation Injuries of Permanent Teeth: Periodontal and Pulp Analyses.

作者信息

Yu Haojie, Li Xiaoxia, Feng Bin, Yu Sang, Wang Qingjing, Zhu Fudong, Zhu Haihua

机构信息

Stomatology Hospital, School of Stomatology, Zhejiang University School of Medicine, Zhejiang Provincial Clinical Research Center for Oral Diseases, Key Laboratory of Oral Biomedical Research of Zhejiang Province, Cancer Center of Zhejiang University, Engineering Research Center of Oral Biomaterials and Devices of Zhejiang Province, Zhejiang, Hangzhou, China.

Key Laboratory of Artificial Organs and Computational Medicine of Zhejiang Province, Key Laboratory of Pollution Exposure and Health Intervention of Zhejiang Province, Shulan International Medical College, Zhejiang Shuren University, Zhejiang, Hangzhou, China.

出版信息

Dent Traumatol. 2024 Dec 6. doi: 10.1111/edt.13009.

DOI:10.1111/edt.13009

PMID:39641507

Abstract

BACKGROUND

This study aimed to analyse the relationships between injury variables, treatment variables and the status of the periodontium or pulp of luxated teeth.

MATERIALS AND METHODS

The electronic medical records and imaging data of patients who underwent treatment for luxation injuries of permanent teeth in the paediatric dentistry and dental emergency departments of the Stomatology Hospital, Zhejiang University School of Medicine between 1 January 2012 and 1 January 2022 were retrospectively analysed. First, the patients' records were reviewed to collect background and follow-up imaging data; then, all early clinical variables were reviewed and used to construct models to predict the periodontal and pulp status of the luxated teeth. The models included the significant factors identified in the univariate analysis, and multivariate analysis was performed to evaluate the relationships between the variables and the final status of the periodontium or dental pulp. The chi-square test and Fisher's exact test were employed to analyse the differences in the frequency of each variable. The variables were systematically screened based on their odds ratios, and significance levels were determined by Pearson's chi-square test.

RESULTS

A total of 188 patients were initially identified and ultimately included. The age range of the patients was 7-56 years. Logistic regression models for periodontal and pulp prognosis of the luxated teeth were established. The models were refined by combining the results of feature selection, parameter testing and goodness-of-fit testing. The final model included four variables and accurately predicted the periodontal outcome in 65.79% of the cases. The prognostic model for the dental pulp included three significant factors and had an overall accuracy of 94.59%.

CONCLUSION

The prognostic models developed to predict the influence of various factors on the status of the periodontium and dental pulp of luxated teeth demonstrated notable accuracy and practical utility. Therefore, these models are potentially valuable tools for long-term prognostic assessments.

TRIAL REGISTRATION

Approval no. ChiCTR2100044897.

摘要

背景

本研究旨在分析损伤变量、治疗变量与脱位牙牙周或牙髓状况之间的关系。

材料与方法

回顾性分析2012年1月1日至2022年1月1日期间在浙江大学医学院附属口腔医院儿童口腔科和口腔急诊科接受恒牙脱位损伤治疗的患者的电子病历和影像数据。首先，查阅患者记录以收集背景和随访影像数据；然后，回顾所有早期临床变量并用于构建模型，以预测脱位牙的牙周和牙髓状况。模型包括单因素分析中确定的显著因素，并进行多因素分析以评估变量与牙周或牙髓最终状况之间的关系。采用卡方检验和Fisher精确检验分析各变量频率的差异。根据比值比系统筛选变量，并通过Pearson卡方检验确定显著性水平。