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Evaluation of Periodontal Risk in Adult Patients using Two Different Risk Assessment Models – A Pilot Study

机译:使用两种不同的风险评估模型评估成人患者的牙周风险-一项先导研究

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摘要

>Objective: The aim of the present study was to evaluate the periodontal risk of individuals using periodontal risk assessment (PRA) model and modified PRA model.>Materials and Methods: A total of 50 patients with chronic periodontitis, age 30-60 years were selected randomly and charting of the periodontal status was performed and those who met the inclusion criteria were enrolled in the study. Parameters recorded were- percentage of sites with bleeding on probing (BOP), number of sites with pocket depths (PD) ≥ 5mm, number of the teeth lost, bone loss (BL)/age ratio, Clinical attachment loss(CAL)/age ratio, diabetic and smoking status, dental status, systemic factors like diabetes were assessed. All the risk factors were plotted on the radar chart in (PRA) and (mPRA) models, using Microsoft excel and periodontal risk were categorized as low, moderate and high risk.>Results: Among 50 patients 31 were in low risk, 9 in moderate risk, and 10 in high risk identified by modified (PRA) model, whereas 28 patients were in low risk, 13 in moderate risk and 9 in high risk identified by (PRA). Statistical analysis demonstrated that there was no significant difference between the risk scores (X2 = 0.932 with degree of freedom = 2, P = 0.627).>Conclusion: Both the periodontal risk models are effective in evaluating the risk factors and can be useful tool for predicting proper diagnosis, disease progression and therapeutic strategies during the supportive periodontal therapy.
机译:>目的:本研究的目的是使用牙周风险评估(PRA)模型和改进的PRA模型评估个人的牙周风险。>材料和方法:随机选择年龄在30至60岁之间的50例慢性牙周炎患者,并绘制牙周状况图,并纳入符合纳入标准的患者。记录的参数为-探查出血部位(BOP)的百分比,口袋深度(PD)≥5mm的部位数量,牙齿脱落的数量,骨质丢失(BL)/年龄比,临床附着物丢失(CAL)/年龄评估比率,糖尿病和吸烟状况,牙齿状况以及诸如糖尿病的全身性因素。使用Microsoft excel将所有危险因素绘制在(PRA)和(mPRA)模型中的雷达图上,并且将牙周风险分为低,中和高风险。>结果:在50例患者中,有31名改良(PRA)模型识别为低危,中度危险为9,高危为10,而通过(PRA)识别为28位患者为低危,中度危险为13,高危为9。统计分析表明,风险评分之间没有显着差异(X 2 = 0.932,自由度= 2,P = 0.627)。>结论:两种牙周风险这些模型可以有效地评估危险因素,并且可以作为预测支持性牙周治疗期间正确诊断,疾病进展和治疗策略的有用工具。

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