Evaluation of a New Self-Reported Tool for Periodontitis Screening
Published: June 1, 2016 | DOI: https://doi.org/10.7860/JCDR/2016/.8063
Antonio Renatus, Tanja Kottmann, Fabian Schwarzenberger, Holger Jentsch
1. Faculty, Department of Cariology, Endodontology and Periodontology, Centre for Periodontology, University Hospital of Leipzig, Leipzig, Germany.
2. Clinical Research Organisation, Hamm, Germany.
3. Professor for Stochastics, Faculty of Informatics/Mathematics at the HTW Dresden, Dresden, Germany.
4. Professor, Department of Cariology, Endodontology and Periodontology, Centre for Periodontology, University Hospital of Leipzig, Leipzig, Germany.
Correspondence
Dr. Antonio Renatus,
Schreberstraße 6a, 04109 Leipzig, Germany.
E-mail: antoniorenatus@gmx.de
Introduction: Periodontitis is still highly prevalent in industrial population whereas at the same time appropriate screening programs are missing.
Aim: To evaluate, a self-reported questionnaire about periodontal risk factors in combination with the Periodontal Screening Index (PSI) to identify an existing need for periodontal treatment combined with the early recognition of high-risk patients.
Materials and Methods: Total 200 patients took part in the questionnaire based study and were examined using the PSI. Thereafter the participants were divided into two groups, subjects with periodontitis (Group 1; PSI 0-2) and subjects without periodontitis (Group 2; PSI 3-4). The answers were evaluated using a point system ranging from 0 to 8, based on known periodontal risk factors and their assumed degree of influence. Receiver-Operating Characteristic (ROC) curve analysis were applied to examine the overall discriminatory power, sensitivity, specificity and corresponding cut-off points of the self-reported periodontal disease scale.
Results: There was a significant difference between Group 1 and 2 concerning the majority of the inquired items (12 of 16, p<0.05). The distribution of the individual total score exhibited a high statistical significance (p<0.001) of robustness in terms of differing definitions of periodontitis. The Area Under the Curve (AUC) was 0.912 with a sensitivity of 86% and a specificity of 76%.
Conclusion: The questionnaire produced a reliable assessment of the individual risk (total score) and the need for periodontal treatment as well as the differentiation between gingivitis and periodontitis.
Clinical relevance: Patient-based data (clinical variables and periodontal risk factors of periodontitis) were adequate to make a preliminary assessment of a possible need for periodontal treatment.
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