首页> 外文期刊>Journal of Periodontology >The prognostic value of several periodontal factors measured as radiographic bone level variation: a 10-year retrospective multilevel analysis of treated and maintained periodontal patients.
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The prognostic value of several periodontal factors measured as radiographic bone level variation: a 10-year retrospective multilevel analysis of treated and maintained periodontal patients.

机译:以放射影像学的骨水平变化衡量的几种牙周因素的预后价值:治疗和维持的牙周患者的10年回顾性多水平分析。

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BACKGROUND: Assigning a prognosis to a periodontal patient is one of the greatest challenges in clinical practice. Many different factors can affect the result of periodontal therapy. The purpose of this study was to evaluate the prognostic value of some clinical, genetic, and radiographic variables in predicting bone level variation in periodontal patients (aged 40 to 60) treated and maintained for 10 years. METHODS: Sixty consecutive non-smoking patients (mean age 46.77 +/- 4.96) with moderate to severe chronic periodontitis were treated with scaling and root planing (SRP). Some patients also underwent additional surgical treatments. All patients were maintained in the same private practice for 10 years. At baseline (T0) and at least 10 years later (T2), the following clinical variables were evaluated: probing depth (PD), tooth mobility (TM), presence of prosthetic restorations (PR), and molar teeth (MT). In addition, radiographic measurements were taken of the mesial and distal distances from the cemento-enamel junction (CEJ) to the bottom of the defect (BD), to the bone crest (BC), and to the root apex (RA). At T2, a genetic test to determine the IL-1 genotype and genetic susceptibility for severe periodontal disease was performed for all 60 patients. Based on the results of this assay, the patients were categorized as IL-1 genotype positive (G+) or negative (G-). The differences between the bone levels measured at T0 and T2 (ABD), indicating the bone level variation, was used as the outcome variable. Different predictor variables were then tested using a 3-level statistical model (multilevel statistical analysis; patient, tooth, and site level). At the patient level these were: age, gender, and interaction between mean bone loss and the IL-1 genotype (mean CEJ-BD(T0) x IL-1 genotype). At the tooth level the variables were: TM(T0), PR(T0), MT(T0); and at the site level the evaluated factors were: the infrabony component of the defect (CEJ-BD(T0) - CEJ-BC(T0), PD(T0), bone level (CEJ-BD(T0)), and the residual supporting bone (BD-RA(T0)). RESULTS: Among the considered predictor parameters, the following were significantly associated with the outcome variable: 1) mean CEJ-BD(T0) x IL-1 genotype (P = 0.0019); 2) TM(T0) (P < 0.0000); 3) CEJ-BD(T0) (P < 0.0000); 4) CEJ-BD(T0) - CEJ-BC(T0) (P < 0.0000); 5) PD(T0) (P = 0.0010). Deeper probing depths at a site and tooth mobility at baseline were associated with worst prognosis. Greater CEJ-BD(T0) distance and infrabony component at a site at baseline were associated with a better prognosis. The interaction between mean CEJ-BD measurement at baseline and IL-1 genotype was significantly associated both with a good or a poor prognosis. The other parameters evaluated - age, gender, presence of molars and prosthetic restorations, and residual supporting bone - were not significantly associated with bone level variation. CONCLUSIONS: Within the scope of this study design, many traditional prognostic factors were ineffective in predicting future bone level variation andtherefore were of no prognostic value. Conversely, a few specific factors at each level emerged as valuable prognostic factors. At the patient level, the prognostic factor was initial mean bone level in conjunction with a positive IL-1 genotype. At the tooth level, the prognostic factor was tooth mobility. At the site level, the significant prognostic factors were initial bone level at a site, the infrabony component of a defect, and initial probing depth at a site. The use of these factors may be of value to clinicians as predictors of bone level variation when assigning a prognosis to a patient, a tooth, or a site.
机译:背景:为牙周患者分配预后是临床实践中最大的挑战之一。许多不同的因素都会影响牙周治疗的结果。这项研究的目的是评估一些临床,遗传和放射学变量在预测治疗和维持10年的牙周患者(40至60岁)的骨水平变化中的预后价值。方法:对60例中度至重度慢性牙周炎连续不吸烟的患者(平均年龄46.77 +/- 4.96)进行了刮治和根部平整(SRP)治疗。一些患者还接受了其他外科治疗。所有患者均在同一私人诊所接受治疗10年。在基线(T0)和至少10年后(T2),评估以下临床变量:探查深度(PD),牙齿移动性(TM),修复体的存在(PR)和磨牙(MT)。此外,对从牙釉质-牙釉质接合处(CEJ)到缺损底部(BD),骨c(BC)和根尖(RA)的近中距离和远端距离进行了射线照相测量。在T2时,对所有60例患者进行了一项基因测试,以确定严重牙周疾病的IL-1基因型和遗传易感性。根据该测定的结果,将患者分类为IL-1基因型阳性(G +)或阴性(G-)。在T0和T2时测得的骨水平之间的差异(ABD)表示骨水平的变化,被用作结果变量。然后使用三级统计模型(多级统计分析;患者,牙齿和部位水平)测试不同的预测变量。在患者水平上,这些因素包括:年龄,性别以及平均骨丢失与IL-1基因型之间的相互作用(平均CEJ-BD(T0)x IL-1基因型)。在牙齿级别,变量为:TM(T0),PR(T0),MT(T0);在现场水平上,评估因素为:缺陷的骨下成分(CEJ-BD(T0)-CEJ-BC(T0),PD(T0),骨水平(CEJ-BD(T0))和残留结果:在考虑的预测指标中,以下各项与结果变量显着相关:1)平均CEJ-BD(T0)x IL-1基因型(P = 0.0019); 2)TM(T0)(P <0.0000); 3)CEJ-BD(T0)(P <0.0000); 4)CEJ-BD(T0)-CEJ-BC(T0)(P <0.0000); 5)PD(T0)(P = 0.0010)。较深的部位探查深度和基线的牙齿活动性与最差的预后相关。 CEJ-BD(T0)距离更大和基线处的骨下成分与更好的预后相关。基线时平均CEJ-BD测量值与IL-1基因型之间的相互作用与预后良好或不良相关。评估的其他参数-年龄,性别,磨牙和修复修复体的存在以及残余的支撑骨-与骨水平变化没有显着相关。结论:在本研究设计的范围内,许多传统的预后因素无法有效预测未来的骨水平变化,因此没有任何预后价值。相反,每个级别的一些特定因素成为有价值的预后因素。在患者水平上,预后因素是初始平均骨水平与阳性的IL-1基因型结合。在牙齿水平上,预后因素是牙齿活动度。在部位水平上,重要的预后因素是部位的初始骨水平,缺损的骨下成分和部位的初始探测深度。当将预后分配给患者,牙齿或部位时,这些因素的使用可能对临床医生有价值,可作为骨水平变化的预测指标。

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