scholarly journals Familial tendency as a determinant of tooth loss during long‐term periodontal therapy

2019 ◽  
Vol 47 (2) ◽  
pp. 213-222
Author(s):  
Øystein Fardal ◽  
Irene Skau ◽  
Jostein Grytten
Keyword(s):  
Tooth Loss ◽  
Periodontal Therapy ◽  
Familial Tendency

scholarly journals Retrospectively analysed tooth loss in periodontally compromised patients: Long‐term results 10 years after active periodontal therapy—Patient‐related outcomes

2020 ◽  
Vol 55 (6) ◽  
pp. 946-958
Author(s):  
Hari Petsos ◽  
Beate Schacher ◽  
Tatjana Ramich ◽  
Katrin Nickles ◽  
Bettina Dannewitz ◽  
...  
Keyword(s):  
Tooth Loss ◽  
Periodontal Therapy ◽  
Long Term Results ◽  
Compromised Patients

scholarly journals Tooth loss in periodontally compromised patients: Retrospective long‐term results 10 years after active periodontal therapy. Tooth‐related outcomes

2021 ◽  
Author(s):  
Hari Petsos ◽  
Tatjana Ramich ◽  
Katrin Nickles ◽  
Bettina Dannewitz ◽  
Leon Pfeifer ◽  
...  
Keyword(s):  
Tooth Loss ◽  
Periodontal Therapy ◽  
Long Term Results ◽  
Compromised Patients

scholarly journals Development of a prognostic tool: based on risk factors for tooth loss after active periodontal therapy

2021 ◽  
Author(s):  
Sonja Rahim-Wöstefeld ◽  
Dorothea Kronsteiner ◽  
Shirin ElSayed ◽  
Nihad ElSayed ◽  
Peter Eickholz ◽  
...  
Keyword(s):  
Risk Factors ◽  
Decision Making ◽  
Tooth Loss ◽  
Treatment Plan ◽  
Periodontal Therapy ◽  
Outcome Variable ◽  
Individual Treatment ◽  
Risk Indicator ◽  
Related Factors ◽  
Prognostic Tool

Abstract Objectives The aim of this study was to develop a prognostic tool to estimate long-term tooth retention in periodontitis patients at the beginning of active periodontal therapy (APT). Material and methods Tooth-related factors (type, location, bone loss (BL), infrabony defects, furcation involvement (FI), abutment status), and patient-related factors (age, gender, smoking, diabetes, plaque control record) were investigated in patients who had completed APT 10 years before. Descriptive analysis was performed, and a generalized linear-mixed model-tree was used to identify predictors for the main outcome variable tooth loss. To evaluate goodness-of-fit, the area under the curve (AUC) was calculated using cross-validation. A bootstrap approach was used to robustly identify risk factors while avoiding overfitting. Results Only a small percentage of teeth was lost during 10 years of supportive periodontal therapy (SPT; 0.15/year/patient). The risk factors abutment function, diabetes, and the risk indicator BL, FI, and age (≤ 61 vs. > 61) were identified to predict tooth loss. The prediction model reached an AUC of 0.77. Conclusion This quantitative prognostic model supports data-driven decision-making while establishing a treatment plan in periodontitis patients. In light of this, the presented prognostic tool may be of supporting value. Clinical relevance In daily clinical practice, a quantitative prognostic tool may support dentists with data-based decision-making. However, it should be stressed that treatment planning is strongly associated with the patient’s wishes and adherence. The tool described here may support establishment of an individual treatment plan for periodontally compromised patients.

scholarly journals Tooth loss in complying and non-complying periodontitis patients with different periodontal risk levels during supportive periodontal care

2021 ◽  
Author(s):  
Roberto Farina ◽  
Anna Simonelli ◽  
Andrea Baraldi ◽  
Mattia Pramstraller ◽  
Luigi Minenna ◽  
...  
Keyword(s):  
Active Treatment ◽  
Clinical Relevance ◽  
Tooth Loss ◽  
Loss Rate ◽  
Risk Levels ◽  
Recall Interval ◽  
Level 3 ◽  
The Difference ◽  
Periodontal Risk

Abstract Objectives To evaluate yearly tooth loss rate (TLR) in periodontitis patients with different periodontal risk levels who had complied or not complied with supportive periodontal care (SPC). Materials and methods Data from 168 periodontitis patients enrolled in a SPC program based on a 3-month suggested recall interval for at least 3.5 years were analyzed. For patients with a mean recall interval within 2–4 months (“compliers”) or > 4 months (“non-compliers”) with different PerioRisk levels (Trombelli et al. 2009), TLR (irrespective of the cause for tooth loss) was calculated. TLR values were considered in relation to meaningful TLR benchmarks from the literature for periodontitis patients either under SPC (0.15 teeth/year; positive benchmark) or irregularly complying with SPC (0.36 teeth/year; negative benchmark). Results In both compliers and non-compliers, TLR was significantly below or similar to the positive benchmark in PerioRisk level 3 (0.08 and 0.03 teeth/year, respectively) and PerioRisk level 4 (0.12 and 0.18 teeth/year, respectively). Although marked and clinically relevant in non-compliers, the difference between TLR of compliers (0.32 teeth/year) and non-compliers (0.52 teeth/year) with PerioRisk level 5 and the negative benchmark was not significant. Conclusion A SPC protocol based on a 3- to 6-month recall interval may effectively limit long-term tooth loss in periodontitis patients with PerioRisk levels 3 and 4. A fully complied 3-month SPC protocol seems ineffective when applied to PerioRisk level 5 patients. Clinical relevance PerioRisk seems to represent a valid tool to inform the SPC recall interval as well as the intensity of active treatment prior to SPC enrollment.

scholarly journals Risk factors for tooth loss with a mean follow-up period of 13.9 years in supportive periodontal therapy patients

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Tomotaka Kato ◽  
Natsuki Fujiwara ◽  
Tomohisa Ogawa ◽  
Yukihiro Numabe
Keyword(s):  
Risk Factors ◽  
Tooth Loss ◽  
Periodontal Therapy ◽  
Dental Hygienists ◽  
Multiple Classification Analysis ◽  
Hazard Ratios ◽  
Dental Office ◽  
Multiple Classification ◽  
Supportive Periodontal Therapy

Abstract Background Clinical evidence indicates that there are various risk factors of tooth loss. However, the degree of this risk among other risk factors remains unclear. In this retrospective cohort study, the authors evaluated the hazard ratios of several risk factors for tooth loss. Methods Included patients had all been treated for dental disorders, were in the supportive phase of periodontal therapy by dental hygienists, and visited a Japanese dental office continually during a 10-year period. Periodontal parameters, tooth condition, and general status of all teeth (excluding third molars) at the initial visit and at least 10 years later were evaluated by using multiple classification analysis. Results The authors evaluated a total of 7584 teeth in 297 patients (average age: 45.3, mean follow-up time: 13.9 years) Non-vital pulp was the most significant predictor of tooth loss according to Cox hazards regression analysis (hazard ratio: 3.31). The 10-year survival rate was approximately 90% for teeth with non-vital pulp and 99% for teeth with vital pulp. Fracture was the most common reason for tooth loss. Conclusions Non-vital pulp had the most significant association with tooth loss among the parameters. Therefore, it is very important to minimize dental pulp extirpation.

scholarly journals Predictors of tooth loss during long‐term periodontal maintenance: an updated systematic review

2021 ◽  
Author(s):  
Rui Carvalho ◽  
João Botelho ◽  
Vanessa Machado ◽  
Paulo Mascarenhas ◽  
Gil Alcoforado ◽  
...  
Keyword(s):  
Systematic Review ◽  
Tooth Loss ◽  
Periodontal Maintenance
Sign in / Sign up

Export Citation Format

Share Document