Furcation involvement and tooth loss: A registry‐based retrospective cohort study

Trullenque‐Eriksson, Anna; Tomasi, Cristiano; Petzold, Max; Berglundh, Tord; Derks, Jan

doi:10.1111/jcpe.13754

Cited by 6 publications

(2 citation statements)

References 25 publications

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“…A similar conclusion was reached by Müller and Eger and by Al‐Shammari et al who consider correct diagnosis as a challenge and an important basis for further therapy decisions (Al‐Shammari et al, 2001; Muller & Eger, 1999). In studies with a long observation period, particularly furcation Degrees II and III were risk factors for tooth loss (Nibali et al, 2016; Trullenque‐Eriksson et al, 2023). In the present study, involvement of the distopalatal furcation in upper molars was 2.5 times more likely to be associated with worsening of PPD during SPC than any other location.…”

Section: Discussionmentioning

confidence: 99%

Periodontal pockets: Predictors for site‐related worsening after non‐surgical therapy—A long‐term retrospective cohort study

Herz,

Hoffmann,

Braun

et al. 2024

J Clinic Periodontology

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AimTo evaluate site‐related changes in periodontal pocket depth (PPD) after non‐surgical periodontal therapy and to identify predictors for PPD changes in a retrospective patient data analysis.Materials and MethodsPPD, clinical attachment level, bleeding on probing, tooth mobility (TM), furcation involvement (FI), abutment status, adherence to supportive periodontal care (SPC) and SPC follow‐ups were obtained from fully documented patient data before periodontal therapy (baseline, T0), after active periodontal therapy (APT, T1) and during SPC (T2). PPD changes were classified into deteriorated or unchanged/improved at the site level. Multi‐level logistic regression analysis was performed to identify factors influencing PPD changes during SPC.ResultsThis retrospective study included 51 females and 65 males (mean T0 age: 54.8 ± 10.1 years, 25 smokers, 12 diabetics) suffering from Stage III/IV periodontitis. Evaluation outcome: T0/16,044 sampling sites/2674 teeth; T1/15,636/2606; T2/14,754/2459. During 9.0 ± 2.3 years SPC, PPD decreased (−1.33 ± 0.70 mm) by 21.8% of the sites, remained unchanged by 41.4% and increased (1.40 ± 0.78 mm) by 36.8%. Distopalatal FI (p < .001, odds ratio [OR]: 0.252, 95% confidence interval [CI] for OR: 0.118–0.540), residual pockets (p < .001, OR: 0.503, 95% CI: 0.429–0.590) and TM Degrees I–III (Degree I: p = .002, OR: 0.765, 95% CI: 0.646–0.905; Degree II: p = .006, OR: 0.658, 95% CI: 0.489–0.886; Degree III: p = .023, OR: 0.398, 95% CI: 0.180–0.879) correlated significantly with increasing PPD.ConclusionsOver 75% of PPD remained unchanged or increased during SPC. Distopalatal FI, TM Degrees I–III and residual pockets after APT lead to worsening of periodontal pockets.

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Section: Discussionmentioning

confidence: 99%

Periodontal pockets: Predictors for site‐related worsening after non‐surgical therapy—A long‐term retrospective cohort study

Herz,

Hoffmann,

Braun

et al. 2024

J Clinic Periodontology

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show abstract

“…The furcation defects are highly prevalent in individuals with periodontitis [4][5][6], and more severe involvement is associated with a poorer prognosis and a higher risk of tooth loss [2,3,5,7]. The FI class is associated with bone loss and affects the treatment planning of these teeth [8].…”

Section: Introductionmentioning

confidence: 99%

Occurrence of vertical bone loss in molar furcation of adult rural population

Menk,

Ferreira,

Oliveira

et al. 2023

Preprint

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Objectives The aim of this study was to report the occurrence and severity of the vertical subclassification of furcation involvement (FI) in the first and second molars and evaluation of risk indicators associated with vertical bone loss in the furcation area. Material and methods This study is nested to a representative sample of individuals who participated in an epidemiologic survey in a rural area of South Brazil. Individuals with at least one first and/or second molar with horizontal furcation involvement class II or III (n = 167) were included. Complete periodontal examinations were performed in six sites per tooth. FI was evaluated with Nabers probe. Periapical radiographs were performed with a digital sensor. Radiograph subclassification of the vertical component of FI was established according to the bone loss until the coronal third of the root (Subclass A), until the medium third (subclass B), or apical third (subclass C). Results 89 individuals with 139 teeth were evaluated. The maxilla molars showed a higher occurrence of vertical bone loss associated with FI. 48% of these teeth had infrabony defects in the furcation area. Dental plaque, gingival bleeding, Probing deep > 4mm and former and smokers were associated with a greater percentage of the vertical bone loss in the furcation area. Conclusion Upper molars showed more occurrence of vertical subclass more severe compared with mandibular molars, which may be associated with poor prognosis for maintenance of these teeth in follow-up. Dental plaque, gingival bleeding, deep pockets and smoker status were associated with more severity in vertical bone loss inside furcation area. Clinical relevance : Vertical subclassification defined by periapical radiographs can evaluate residual attachment, prognosis, select appropriate treatment, and personal support needs to retain teeth for a long period after treatment.

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Identifying predictors of the tooth loss phenotype in a large periodontitis patient cohort using a machine learning approach

Lee,

Zhang,

et al. 2024

Journal of Dentistry

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Furcation involvement and tooth loss: A registry‐based retrospective cohort study

Cited by 6 publications

References 25 publications

Periodontal pockets: Predictors for site‐related worsening after non‐surgical therapy—A long‐term retrospective cohort study

Periodontal pockets: Predictors for site‐related worsening after non‐surgical therapy—A long‐term retrospective cohort study

Occurrence of vertical bone loss in molar furcation of adult rural population

Identifying predictors of the tooth loss phenotype in a large periodontitis patient cohort using a machine learning approach

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