Dhulipalla Ravindranath, Bade Shruthi, Bollepalli Appaiah Chowdary, Katuri Kishore Kumar, Devulapalli Narasimha Swamy, Swarna Chakrapani
Professor, Department of Periodontics, Sibar Institute of Dental Sciences , Takkellapadu, Guntur, India .
PG Student, Department of Periodontics, Sibar Institute of Dental Sciences , Takkellapadu, Guntur, India .
J Clin Diagn Res. 2015 Feb;9(2):ZC25-9. doi: 10.7860/JCDR/2015/11772.5556. Epub 2015 Feb 1.
The aim of the present study was to evaluate the periodontal risk of individuals using periodontal risk assessment (PRA) model and modified PRA model.
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.
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 (X(2) = 0.932 with degree of freedom = 2, P = 0.627).
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.
本研究旨在使用牙周风险评估(PRA)模型和改良PRA模型评估个体的牙周风险。
随机选取50例年龄在30 - 60岁的慢性牙周炎患者,对其牙周状况进行记录,符合纳入标准的患者纳入研究。记录的参数包括:探诊出血(BOP)部位的百分比、牙周袋深度(PD)≥5mm的部位数量、失牙数量、骨丧失(BL)/年龄比、临床附着丧失(CAL)/年龄比、糖尿病和吸烟状况、牙齿状况,评估糖尿病等全身因素。使用Microsoft excel将所有风险因素绘制在(PRA)和(mPRA)模型的雷达图上,并将牙周风险分为低、中、高风险。
改良(PRA)模型确定50例患者中31例为低风险,9例为中度风险,10例为高风险;而(PRA)模型确定28例患者为低风险,13例为中度风险,9例为高风险。统计分析表明风险评分之间无显著差异(X(2)=0.932,自由度=2,P = 0.627)。
两种牙周风险模型在评估风险因素方面均有效,可作为预测牙周支持治疗期间正确诊断、疾病进展和治疗策略的有用工具。