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Untreated periodontal disease may influence general health. However, how may a physician, who is not trained in periodontal probing, detect untreated periodontitis?
Activated matrix metalloproteinase-8 (aMMP-
8) in saliva correlates with periodontal probing parameters. Thus, sensitivity and specificity of a chair-side test for aMMP-8 to detect periodontitis were evaluated. Thirty cases [untreated chronic periodontitis (ChP); 15 generalized moderate and 15 generalized severe] and 30 controls [probing depths (PD) ≤3 mm, vertical probing attachment level (PAL-V) ≤2 mm at <30 % of sites) were examined periodontally (PD, PAL-V, bleeding on probing). Subsequently, the aMMP-8 test was performed. The test kit
becomes positive with ≥25 ng/ml aMMP-8 in the sample.
The aMMP-8 test was positive in 87 % of ChP and in 40 % of controls. That corresponds to a sensitivity of 87 % and a specificity of 60 %. The sensitivity to detect generalized severe ChP was 93 % (60 % specificity). Backward
stepwise logistic regression analysis to explain positive
aMMP-8 tests identified exclusively ChP with an odds of 9.8 (p < 0.001). Positive results of the aMMP-8 test significantly correlate with generalized ChP. The aMMP-8 test may be used by physicians to detect periodontitis in their patients.
Objectives: Evaluation of surgical and non-surgical air-polishing in vitro efficacy for implant surface decontamination.
Material and methods: One hundred eighty implants were distributed to three differently angulated bone defect models (30°, 60°, 90°). Biofilm was imitated using indelible red color. Sixty implants were used for each defect, 20 of which were air-polished with three different types of glycine air powder abrasion (GAPA1–3) combinations. Within 20 equally air-polished implants, a surgical and non-surgical (with/without mucosa mask) procedure were simulated. All implants were photographed to determine the uncleaned surface. Changes in surface morphology were assessed using scanning electron micrographs (SEM).
Results: Cleaning efficacy did not show any significant differences between GAPA1–3 for surgical and non-surgical application. Within a cleaning method significant (p < 0.001) differences for GAPA2 between 30° (11.77 ± 2.73%) and 90° (7.25 ± 1.42%) in the non-surgical and 30° (8.26 ± 1.02%) and 60° (5.02 ± 0.84%) in the surgical simulation occurred. The surgical use of air-polishing (6.68 ± 1.66%) was significantly superior (p < 0.001) to the non-surgical (10.13 ± 2.75%). SEM micrographs showed no surface damages after use of GAPA.
Conclusions: Air-polishing is an efficient, surface protective method for surgical and non-surgical implant surface decontamination in this in vitro model. No method resulted in a complete cleaning of the implant surface.
Clinical relevance: Air-polishing appears to be promising for implant surface decontamination regardless of the device.
Aim: A retrospective evaluation of patients with Papillon-Lefèvre syndrome (PLS) treated with dental implants to identify factors that may influence treatment outcomes. Methods: All PLS patients with dental implants currently registered at the Department of Periodontology, Goethe-University Frankfurt (20–38 years; mean: 29.6 years), were recruited. Five patients from three families (two pairs of siblings) with a total of 48 dental implants (inserted in different dental institutions) were included with a follow-up time of 2.5–20 years (mean: 10.4 years). Results: Implant failure occurred in three patients (at least 15 implants). Nearly all patients demonstrated peri-implantitis in more or less advanced stages; 60% of patients demonstrated bone loss ≥50% around the implants. Two patients did not follow any supportive therapy. Conclusions: Implants in PLS patients who did not follow any maintenance programme had a high risk of peri-implantitis and implant loss.
Background: A similar long-term stable clinical attachment level (CAL) of infrabony defects (IBDs) after regenerative treatment compared to control teeth would indicate a high level of stability resulting from the regenerative approach. Methods: Patients with a regeneratively treated IBD were screened 120 ± 12 months postoperatively for eligibility for study participation, and were included if complete baseline and 12-month examinations (plaque (PlI), periodontal probing depth (PPD), CAL) were available and a respective control tooth could be identified. Re-examination included clinical examination (PPD, CAL, PlI/GI, bleeding on probing, plaque control record, gingival bleeding index). Results: A total of 27 patients (16 females; age (median; lower/upper quartile): 57.0; 44.0/60.0 years; 6 smokers) contributed 27 IBDs (test), for each of which a control tooth was identified. Five test teeth (18.5%) were lost between 12 and 120 months. The remaining 22 test teeth revealed a significant CAL gain after 1 (2.5 mm; 1.0/4.0 mm, p < 0.0001) and 10 (2.5 mm; 0.5/3.5 mm, p < 0.0001) years, whereas control teeth were stable (1 year: 0.0 mm; 0.0/1.0 mm, p = 0.396; 10 years: 0.0 mm; −1.0/1.5 mm, p = 0.215). The study did not detect any significant CAL change between 1 and 10 years for test (−0.5 mm; −1.0/0.5 mm, p = 0.414) and control teeth (0.0 mm; −1.0/1.0 mm, p = 0.739). In 15 patients, test and control teeth revealed stable CAL values between 12 and 120 months. Conclusion: Regenerative treatment of IBDs exhibited stability comparable to non-surgically treated, periodontally reduced sites over a 10-year period.
Parodontitis ist eine chronisch entzündliche nichtübertragbare Erkrankung, die alle Anteile des Zahnhalteapparates (Parodonts) betrifft und dort weitgehend irreversible Schäden verursacht. Schätzungen legen nahe, dass in Deutschland ca. 10 Mio. Menschen an einer schweren Parodontitis erkrankt sind. Parodontitis zeigt über viele Jahre zumeist wenige oder nur milde Symptome, die von den Patienten oft nicht wahrgenommen oder richtig eingeordnet werden. Fehlendes Bewusstsein kann dazu führen, dass zahnärztliche Behandlung erst in einem fortgeschrittenen Erkrankungsverlauf in Anspruch genommen wird, wenn umfangreiche Therapiemaßnahmen notwendig geworden sind und sich die Prognose für den Erhalt der Zähne verschlechtert hat. Der parodontale Screeningindex (PSI) ist ein einfaches und schnelles Instrument, mit dem die Notwendigkeit weiterführender diagnostischer Maßnahmen beurteilt werden kann. Der Index wird mittlerweile bei vielen Patienten durchgeführt. Trotzdem bleiben die Versorgungszahlen niedrig und hinter dem zurück, was für das Absenken der bestehenden Parodontitislast notwendig wäre. Jede Zahnarztpraxis muss in der Lage sein, Parodontitistherapie umzusetzen. Fachzahnärzte oder Spezialisten können die allgemeinzahnärztlichen Kollegen wesentlich bei der Behandlung von schweren Formen von Parodontitis unterstützen. Dazu ist eine Aufwertung des Faches in der universitären Ausbildung erforderlich, aber auch die zunehmende postgraduale Ausdifferenzierung von Spezialisten oder Fachzahnärzten für Parodontologie. Die neuen Behandlungsrichtlinien für die Parodontaltherapie (PAR-Therapie) erlauben die Versorgung der parodontal erkrankten Patienten auf Basis international anerkannter wissenschaftlicher Standards und verbessern damit die Rahmenbedingungen für die Parodontitistherapie in der zahnärztlichen Praxis.
Background: Assessment of the effect of subgingival instrumentation (SI) on systemic inflammation in periodontitis grades B (BP) and C (CP). Methods: In this prospective cohort study, eight BP and 46 CP patients received SI. Data were collected prior to and 12 weeks after SI. Blood was sampled prior to, one day, 6, and 12 weeks after SI. Neutrophil elastase (NE), C-reactive protein (CRP), leukocyte count, lipopolysaccharide binding protein, interleukin 6 (IL-6) and IL-8 were assessed. Results: Both groups showed significant clinical improvement. NE was lower in BP than CP at baseline and 1 day after SI, while CRP was lower in BP than CP at baseline (p < 0.05). NE and CRP had a peak 1 day after SI (p < 0.05). Between-subjects effects due to CP (p = 0.042) and PISA (p = 0.005) occurred. Within-subjects NE change was confirmed and modulated by grade (p = 0.017), smoking (p = 0.029), number of teeth (p = 0.033), and PISA (p = 0.002). For CRP between-subjects effects due to BMI (p = 0.008) were seen. Within-subjects PISA modulated the change of CRP over time (p = 0.017). Conclusions: In untreated CP, NE and CRP were higher than in BP. SI results in better PPD and PISA reduction in BP than CP. Trial registration: Deutsches Register Klinischer Studien DRKS00026952 28 October 2021 registered retrospectively.
Aim: Assessment of the effect of nonsurgical periodontal therapy on haematological parameters in patients with grades B (BP) and C periodontitis (CP).
Methods: Eight BP and 46 CP patients received full-mouth periodontal debridement within 48 h, if positive for Aggregatibacter actinomycetemcomitans with adjunctive systemic antibiotics (4 BP, 17 CP). Clinical data were collected prior and 12 weeks after periodontal therapy. Blood was sampled prior to and 1 day as well as 6 and 12 weeks after the first SD visit. Erythrocyte count, haemoglobin value, haematocrit (HCT), mean erythrocyte volume (MCV), mean corpuscular haemoglobin (MCH), MCH concentration (MCHC), platelets (PLT) and heat shock protein 27 (Hsp27) were assessed.
Results: Both groups showed significant clinical improvement (p < 0.05). Using univariate analysis, MCV was noticeably lower in CP than BP at all examinations, HCT only at baseline. For CP, MCHC was noticeably higher 12 weeks after SD than at baseline and 1 day (p ≤ 0.005) and Hsp27 increased noticeably at 1 day (p < 0.05). Repeated measures analysis of variance revealed African origin to be associated with lower MCV and female sex with lower MCHC.
Conclusion: Based on multivariate analysis, periodontal diagnosis (BP/CP) was not associated with haematological parameters measured in this study or serum Hsp27. In CP, nonsurgical periodontal therapy improved MCHC 12 weeks after SD. Also in CP Hsp27 was increased 1 day after SD.
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.
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.
Objective: Evaluation of survival of teeth with class III furcation involvement (FI) ≥5 years after active periodontal treatment (APT) and identification of prognostic factors. Methods: All charts of patients who completed APT at the Department of Periodontology of Goethe-University Frankfurt, Germany, beginning October 2004 were screened for teeth with class III FI. APT had to be accomplished for ≥5 years. Charts were analysed for data of class III FI teeth at baseline (T0), at accomplishment of APT (T1), and at the last supportive periodontal care (T2). Baseline radiographic bone loss (RBL) and treatment were assessed. Results: One-hundred and sixty patients (age: 54.4 ± 9.8 years; 82 females; 39 active smokers; 9 diabetics, 85 stage III, 75 stage IV, 59 grade B, 101 grade C) presented 265 teeth with class III FI. Ninety-eight teeth (37%) were lost during 110, 78/137 (median, lower/upper quartile) months. Logistic mixed-model regression and mixed Cox proportional hazard model associated adjunctive systemic antibiotics with fewer tooth loss (26% vs. 42%; p = .019/.004) and RBL (p = .014/.024) and mean probing pocket depth (PPD) at T1 (p < .001) with more tooth loss. Conclusions: Subgingival instrumentation with adjunctive systemic antibiotics favours retention of class III furcation-involved teeth. Baseline RBL and PPD at T1 deteriorate long-term prognosis.