Prognostic performance of the 2017 World Workshop Classification on staging and grading of periodontitis compared with the British Society of Periodontology's implementation

Residual vertical defects: risk of disease progression, retreatment rates, and cost: a retrospective analysis

OBJECTIVES

This study aimed to explore the relationship between Radiographic Residual Vertical Defects (RVDs) and the progression of periodontitis in patients undergoing periodontal maintenance therapy (PMT).

MATERIALS AND METHODS

Teeth with RVDs were compared to the same contralateral teeth in the same patient. The study investigated the effect of smoking, diabetes, compliance, disease Stage, and Grade, baseline probing depth (PD), periodontal risk score (PRS), baseline pocket closure (PC) (≤ 4 mm), and tooth mobility on disease progression. We calculated the need for retreatment during PMT and its associated cost. Generalized estimation equations and linear and multilevel logistic regression analyses were employed for data analysis.

RESULTS

Each group had 139 teeth, accounting for 80 patients. Although the group with RVDs had similar PD reduction compared to the control teeth, the prevalence of PC at the last follow-up was reduced to half in the RVDs group (odds ratio OR = 0.5; p-value = 0.028), regardless of PC status at the baseline. RVDs were also significant predictors of tooth loss due to periodontitis (TLP), with an OR of 2.28 (p = 0.043). Patients with diabetes, Stage IV, higher mobility, and higher PRS scores had a higher risk of tooth loss due to periodontitis (OR = 4.71, 3.84, 3.64, and 5.97, respectively (P < 0.01). Incidences of sites requiring retreatment were similar in both groups, but the cost of treatment was 30% higher for teeth with RVDs. Grade C had the most significant influence on receiving retreatments (OR = 18.8, p = 0.005).

CONCLUSION

Teeth with RVDs represent a risk indicator for tooth loss compared to identical contralateral teeth with similar PD in the same patient. Teeth with RVD had more risk of pocket opening during follow-up.

CLINICAL RELEVANCE

While teeth with RVDs can be maintained long-term, they have twice the risk of pocket opening and tooth loss due to periodontitis during follow-up. Patients with systemic and local risk factors need to be monitored closely as they are at the highest risk of losing teeth with RVDs. The increased cost of retreatment for teeth with RVDs also has implications in terms of retention versus extraction and replacement.

Factors associated with furcation involvement and fixed prostheses: A cross-sectional study

OBJECTIVE

The study aims to explore the relationship between horizontal and vertical furcation involvement (FI) in teeth with or without a single unit fixed prosthesis (FP).

MATERIALS AND METHODS

Adult subjects presenting to the periodontics department requiring cone beam computed tomography (CBCT) analysis were recruited for this study. 79 patients, with a total of 200 teeth, were split into two groups based on the presence or absence of FP within the same patient. Our analysis considered patient-level factors like smoking, diabetes, and periodontal severity and tooth-level factors including root trunk length (RTL), probing depth (PD), periodontal supracrestal tissue height (STH), supracrestal tissue attachment (STH-PD), interproximal bone distance (IPBD) to the cementoenamel junction (CEJ) (control) or crown margin (Test), and the distance from the furcation to the CEJ (control) or crown margin (Test). Subsequently, we developed a predictive model for FI.

RESULTS

The presence of a prosthesis had a significant association with FI, with an odds ratio (OR) of 12.8 (p < 0.001). Other factors significantly correlated with FI were periodontitis (OR = 10.9; p = 0.006), buccal furcation site (OR = 5.70; p < 0.001), and PD (OR = 1.90; p = 0.027). FP placement increased IPBD by 1.08 mm (p < 0.001). The predictive model built for FI demonstrated a sensitivity of 92.9% and a specificity of 66.7%.

CONCLUSIONS

Fixed prosthesis significantly influenced FI only in periodontitis patients. Factors such as periodontitis Stage, probing depth, and buccal site contribute to FI. The high sensitivity of the predictive model highlights the importance of considering these correlations during treatment planning.

CLINICAL RELEVANCE

Comprehending FI factors is vital for devising customised treatment plans to halt disease progression and enhance outcomes of periodontal regenerative therapies.

Association between asthma and periodontitis: A case-control analysis of risk factors, related medications, and allergic responses

AIMS

This study aimed to investigate the association between asthma, related allergies and medication use, and the presence and severity of periodontitis among individuals at the University of Michigan School of Dentistry.

METHODS

Employing a case-control design, the study analyzed data from 892 patients, half with asthma and half without asthma. Data collection included demographics, asthma history, medication use, allergies, and periodontal examination outcomes, including probing pocket depth (PPD), mobility, furcation involvement, and radiographic bone loss (RBL). Logistic regression models assessed the relationship between asthma and periodontitis, adjusting for confounders.

RESULTS

Asthmatic patients exhibited significantly lower odds of periodontitis (OR = 0.10, p < .001) and were less likely to present with advanced stages (OR = 0.23, p < .001) and grades of the disease (OR = 0.31, p < .001) compared to non-asthmatic patients. The study also found a higher proportion of females in the asthmatic group (67% vs. 51.8%, p < .001). Smoking was identified as a significant factor associated with periodontitis in patients with asthma, with former smokers at more than double the odds (OR = 2.28, p = .035) and current smokers at a slightly lower yet significant odds (OR = 1.87, p = .050). Additionally, asthmatic patients on adrenergic inhalers had an increased likelihood of developing periodontitis (OR = 1.76, p = .045). Allergies to codeine and latex were associated with higher odds of periodontitis, with ORs of 3.41 and 6.09, respectively.

CONCLUSIONS

Asthma was found to be associated with lower odds of periodontitis. However, this association appears to be modified by smoking habits and the use of certain asthma medications, which are related to an increased likelihood of periodontitis among asthmatic patients.

Systematic Review of Prognosis Models in Predicting Tooth Loss in Periodontitis

This study reviews and appraises the methodological and reporting quality of prediction models for tooth loss in periodontitis patients, including the use of regression and machine learning models. Studies involving prediction modeling for tooth loss in periodontitis patients were screened. A search was performed in MEDLINE via PubMed, Embase, and CENTRAL up to 12 February 2022, with citation chasing. Studies exploring model development or external validation studies for models assessing tooth loss in periodontitis patients for clinical use at any time point, with all prediction horizons in English, were considered. Studies were excluded if models were not developed for use in periodontitis patients, were not developed or validated on any data set, predicted outcomes other than tooth loss, or were prognostic factor studies. The CHARMS checklist was used for data extraction, TRIPOD to assess reporting quality, and PROBAST to assess the risk of bias. In total, 4,661 records were screened, and 45 studies were included. Only 26 studies reported any kind of performance measure. The median C-statistic reported was 0.671 (range, 0.57-0.97). All studies were at a high risk of bias due to inappropriate handling of missing data (96%), inappropriate evaluation of model performance (92%), and lack of accounting for model overfitting in evaluating model performance (68%). Many models predicting tooth loss in periodontitis are available, but studies evaluating these models are at a high risk of bias. Model performance measures are likely to be overly optimistic and might not be replicated in clinical use. While this review is unable to recommend any model for clinical practice, it has collated the existing models and their model performance at external validation and their associated sample sizes, which would be helpful to identify promising models for future external validation studies.

Periodontitis in young individuals: Important factors for disease progression

AIM

To investigate the progression of periodontitis in young individuals and identify factors that contribute to progression rate and whether periodontitis stage and grade have an impact on disease progression.

MATERIALS AND METHODS

This retrospective cohort study was based on patients younger than 36 years at two periodontal clinics between 2003 and 2009. At least 10 years later, a clinical and radiographic examination was performed on 215 patients. The marginal bone loss between baseline and follow-up for the tooth with the most severe bone loss at follow-up was estimated by radiographic measurements. Linear regression analysis was used to investigate the influence of potential risk indicators on periodontitis progression.

RESULTS

Most patients (83%) were classified as periodontitis stage III at baseline. At follow-up, 70% of these patients remained in stage III. The frequency of patients with grade C decreased from 79% to 17% at follow-up. The median (Q25%; Q75%) of the longitudinal marginal bone loss was 0.5 mm (0.0; 2.0). High bleeding on probing (BOP) index at baseline, smoking and interruption of periodontal treatment were found to significantly increase longitudinal bone loss.

CONCLUSIONS

High levels of BOP at baseline, smoking and interruption of periodontal treatment increased the risk of marginal bone loss. The stage and grade at baseline had no significant impact on disease progression.