Ravindranath Dhulipalla1, Shruthi Bade2, Appaiah Chowdary Bollepalli3, Kishore Kumar Katuri4, Narasimha Swamy Devulapalli5, Chakrapani Swarna1. 1. Professor, Department of Periodontics, Sibar Institute of Dental Sciences , Takkellapadu, Guntur, India . 2. PG Student, Department of Periodontics, Sibar Institute of Dental Sciences , Takkellapadu, Guntur, India . 3. Senior Lecturer, Department of Periodontics, Sibar Institute of Dental Sciences , Takkellapadu, Guntur, India . 4. Reader, Department of Periodontics, Sibar Institute of Dental Sciences , Takkellapadu, Guntur, India . 5. Head of Department, Department of Periodontics, Sibar Institute of Dental Sciences , Takkellapadu, Guntur, India .
Abstract
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 (X(2) = 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.
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 (X(2) = 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.