Predictive factors for tooth loss during supportive periodontal therapy in patients with severe periodontitis: a Japanese multicenter study
- PMID: 30646875
- PMCID: PMC6334425
- DOI: 10.1186/s12903-019-0712-x
Predictive factors for tooth loss during supportive periodontal therapy in patients with severe periodontitis: a Japanese multicenter study
Abstract
Background: Supportive periodontal therapy (SPT) must take individual patient risk factors into account. We conducted a multicenter joint retrospective cohort study to investigate the value of modified periodontal risk assessment (MPRA) and therapy-resistant periodontitis (TRP) assessment as predictive factors for tooth loss due to periodontal disease in patients with severe periodontitis during SPT.
Methods: The subjects were 82 patients from 11 dental institutions who were diagnosed with severe periodontitis and continued SPT for at least 1 year (mean follow-up = 4.9 years) between 1981 and 2008. The outcome was tooth loss due to periodontal disease during SPT. The Cox proportional hazards model was used to analyze sex, age, diabetes status, smoking history, number of periodontal pockets measuring ≥6 mm, rate of bleeding on probing, bone loss/age ratio, number of teeth lost, MPRA, and TRP assessment as explanatory variables.
Results: Univariate analysis showed that loss of ≥8 teeth by the start of SPT [hazard ratio (HR) 2.86], MPRA score indicating moderate risk (HR 8.73) or high risk (HR 11.04), and TRP assessment as poor responsiveness to treatment (HR 2.79) were significantly associated with tooth loss (p < 0.05). In a model in which the explanatory variables of an association that was statistically significant were added simultaneously, the HR for poor responsiveness to treatment and ≥8 teeth lost was significant at 20.17 compared with patients whose TRP assessment indicated that they responded favorably to treatment and who had lost <8 teeth by the start of SPT.
Conclusion: MPRA and TRP assessment may be useful predictive factors for tooth loss due to periodontal disease during SPT in Japanese patients with severe periodontitis. Additionally, considering the number of teeth lost by the start of SPT in TRP assessment may improve its predictive accuracy.
Keywords: Periodontal disease; Periodontal risk assessment; Supportive periodontal therapy; Therapy-resistant periodontitis; Tooth loss.
Conflict of interest statement
Ethics approval and consent to participate
This study was approved by the Ethics Committee of Aichi Gakuin University School of Dentistry (no. 276) and the Research Ethics Committee of Kanagawa Dental University (no. 388) and conformed to the principles of the Declaration of Helsinki. All participants gave written informed consent to participate, and their anonymity was preserved.
Consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
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Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
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References
-
- Ando Y, Aida J, Morita M, Aoyama S, Masui M. Report of reason for permanent tooth extraction. 8020 Promotion Foundation. 2005.
-
- Ministry of Health, Labour and Welfare. Results of Survey of Dental Diseases of 2016. https://www.mhlw.go.jp/toukei/list/62-28.html. Accessed 10 Aug 2018.
-
- Japanese Society of Periodontology. JSP clinical practice guideline for the periodontal treatment, 2015 (English version): Ishiyaku Publishers; 2017.
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