固定假体手术失败的原因分析

T. Kavaz
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引用次数: 1

摘要

在文献中,许多地方都提到了牙支撑固定修复体的并发症。为了制作更成功的假体,建立患者的抱怨与临床和影像学表现之间的关系是很重要的。该研究在2019年至2020年期间对90名患者进行了研究。本研究的目的是根据牙支撑固定假体失效量表,比较患者在年龄、性别、临床及影像学状况、文化程度、使用时间、假体材料等方面使用固定假体的失败率。方法:采用Manappallil牙支撑固定修复体失效分级表对修复体进行失效分级。采用SPSS v20软件对数据进行分析。分类变量以数字和百分比表示,数值变量以平均值和标准差表示。数值变量之间的关系、学生T检验、Kruskal Wallis和Spearman相关检验以及分类变量之间的关系采用卡方检验。P <0.05为差异有统计学意义。结果:年龄与故障等级之间存在中度正相关(p<0.001, r=0.39)。假体使用时间与失效类型有显著相关(p<0.05)。年龄与用药时间呈低程度正相关(p<0.05, r=0.23)。患者的临床状况和影像学表现与教育程度和失败分类没有关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Investigation of the Reasons for Failure in Patients with A Fixed Prosthesis
Complications seen in tooth-supported fixed prosthetic restorations are mentioned in many places in the literature. In order to make more successful prostheses, it is important to establish a relationship between patients’ complaints and clinical and radiological findings. The study was conducted with 90 patients between 2019-2020. The aim of this study was to compare the failure rates of the fixed prosthesis used by the patients according to the dental supported fixed prosthetic failure scale in terms of age, gender, clinical and radiological status, education level, duration of use, and prosthesis material. Methods: Failure classification in prosthetic restorations was made with Manappallil’s failure level scale seen in tooth-supported fixed prostheses. The SPSS v20 program was used to analyze the data. Categorical variables were presented as numbers and percentages while numerical variables were presented as mean and standard deviation. Relationships between numerical variables, student T test, Kruskal Wallis and Spearman correlation tests, and relationships between categorical variables were determined by a chi-square test. p <0.05 was considered statistically significant. Results: between moderate positive correlation between age and failure classes (p<0.001, r=0.39). It was observed that there was a significant relationship between duration of prosthesis use and failure classes (p<0.05). There was a low degree of positive correlation between age and duration of use (p<0.05, r=0.23). There was no relationship between the clinical condition and radiological findings of the patient and the education level and failure classification.
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