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Abstract
Aim
To examine the associations between bone turnover markers and periodontitis in two cross‐sectional population‐based studies.
Materials and Methods
We used data from two independent adult samples (N = 4993), collected within the Study of Health in Pomerania project, to analyse cross‐sectional associations of N‐procollagen type 1 amino‐terminal propeptide (P1NP), C‐terminal cross‐linking telopeptide, osteocalcin, bone‐specific alkaline phosphatase (BAP), fibroblast growth factor 23, wingless‐type mouse mammary tumour virus integration site family member 5a (WNT5A), and sclerostin values with periodontitis. Confounder‐adjusted gamma and fractional response regression models were applied.
Results
Positive associations were found for P1NP with mean pocket probing depth (PPD; eβ=1.008; 95% confidence interval [CI]: 1.001–1.015), mean clinical attachment loss (mean CAL; eβ=1.027; 95% CI: 1.011–1.044), and proportion of sites with bleeding on probing (%BOP; eβ=1.055; 95% CI: 1.005–1.109). Similar associations were seen for BAP with %BOP (eβ=1.121; 95% CI: 1.042–1.205), proportion of sites with PPD ≥4 mm (%PPD4) (eβ=1.080; 95% CI: 1.005–1.161), and sclerostin with %BOP (eβ=1.308; 95% CI: 1.005–1.704). WNT5A was inversely associated with mean PPD (eβ=0.956; 95% CI: 0.920–0.993) and %PPD4 (eβ=0.794; 95% CI: 0.642–0.982).
Conclusions
This study revealed scattered associations of P1NP, BAP, WNT5A, and sclerostin with periodontitis, but the results are contradictory in the overall context. Associations reported in previous studies could not be confirmed.
Diabetes mellitus has been linked with an increased risk for oral diseases, especially periodontitis. However, studies results were not consistent. The present study was conducted to evaluate whether both type 1 (T1DM) and type 2 diabetes mellitus (T2DM) are associated with increased prevalence and extent of periodontal disease and tooth loss compared with non-diabetic subjects within a homogeneous adult study population. T1DM, T2DM and non-diabetic subjects were recruited from the population-based Study of Health in Pomerania (SHIP). Additionally, T1DM subjects were retrieved from a Diabetes Centre in the same region. The total study population comprised 145 T1DM and 2,647 non-diabetic subjects aged 20-59 years, and 182 T2DM and 1,314 non-diabetic subjects aged 50-81 years. Multivariable regression revealed an association between T1DM and mean attachment loss (B=0.40 [95% CI; 0.19, 0.61], adjusted). Also, T1DM was positively associated with increased number of missing teeth after full adjustment (p<0.001). The association between T1DM and tooth loss was enhanced in subjects aged 40-49 and 50-59 years (p for interaction=0.01). In T2DM subjects, mean attachment loss was significantly higher compared with non-diabetic subjects (B=0.47 [95% CI; 0.21, 0.73], adjusted). The effect of T2DM was significantly enhanced in 60-69-years-old subjects (p for interaction=0.04). The association between T2DM and number of missing teeth was not statistically significant after adjustment (p=0.25). Analyses showed that the effect of T2DM on tooth loss was pronounced in females compared with males (p for interaction=0.01). In accordance with previous literature, present results suggested that periodontal diseases and tooth loss can been seen as a complication of both types of diabetes. Generally, periodontal diseases are preventable and treatable. Therefore, appropriate goals and strategies for improving periodontal health in subjects with diabetes need to be developed. Further, early detection and careful managed therapeutics with the physician and dentist working hand-in-hand may prove beneficial to the patient–s general health.
Zur Analyse der Beziehung zwischen Parodontitis, Fettleibigkeit und Körperkraft in der Allgemeinbevölkerung Nordostdeutschlands wurden zwei Kohorten (SHIP-2 und SHIP-Trend) aus der Region Vorpommern herangezogen. Es zeigt sich eine starke Abhängigkeit der sinkenden Muskelkraft bei steigendem Alter. Der paradontale Destruktionsgrad nimmt ebenfalls mit dem Alter zu. Die Parodontitis ist mit der Greifkraft assoziiert. Parodontal gesündere Frauen haben eine geringere Greifkraft als Männer. Aus dem Attachmentverlust resultiert ein höherer Muskelkraftverlust. Die Muskelkraft fällt umso geringer aus, je weniger Zähne vorhanden sind. Sie steigt mit zunehmendem Gewicht, sinkt jedoch bei ansteigendem Körperfettanteil. Die Fettleibigkeit scheint ein gemeinsamer Risikofaktor für die Parodontitis und für die Muskelkraftschwäche zu sein. Ein erhöhter Spiegel an Entzündungsmediatoren ist sowohl bei der Fettleibigkeit, als auch bei der Parodontitis und bei Körperkraftverlust nachweisbar. Somit spielt die Entzündung vermutlich eine zentrale Rolle in der Beziehung zwischen Parodontitis, Fettleibigkeit und Körperkraft.
The aim of the present study was to construct a biological age score reflecting one’s physiologic capability and aging condition with respect to tooth loss over 10 y. From the follow-up to the population-based Study of Health in Pomerania (i.e., SHIP-2), 2,049 participants were studied for their baseline biomarker measures 10 y before (i.e., in SHIP-0). Metabolic and periodontal data were regressed onto chronological age to construct a score designated as “biological age.” For either sex separately, the impact of this individualized score was used to predict tooth loss in the follow-up cohort in comparison with each participant’s chronological age. Outcome data after 10 y with respect to tooth loss, periodontitis, obesity, and inflammation were shown to be better for biologically younger subjects than as expected by their chronological age, whereas for the older subjects, data were worse. Especially for tooth loss, a striking increase was observed in subjects whose biological age at baseline appeared to be higher than their chronological age. Biological age produced significantly better tooth loss predictions than chronological age (P < 0.001). Areas under receiver operating characteristic curves for tooth loss of ≥3 teeth in men during follow-up were 0.811 and 0.745 for biological and chronological age, respectively. For women, these figures were 0.788 and 0.724. For total tooth loss, areas under the curve were 0.890 and 0.749 in men and 0.872 and 0.752 in women. Biological age combines various measures into a single score and allows identifying individuals at increased risk of tooth loss.
Die Körpergröße kann als ein Marker der Entwicklungsgeschichte von Individuen angesehen werden und ist damit auch durch eine besondere Krankheitsempfindlichkeit beeinflusst. Wenn schon im frühen Lebensalter eine Disposition zu entzündlichen Erkrankungen vorliegt, kann diese eine lebenslange inflammatorische Belastung mit sich bringen und zu einem verzögerten Längenwachstum führen. Auswirkungen der frühen Entwicklung können durch die Körpergröße auch im späteren Leben noch zu einem gewissen Maße nachvollzogen werden. Die Basisstudie SHIP-0 (Study of Health in Pomerania) zeigte einen Zusammenhang zwischen der Körpergröße und Entzündungen des Parodonts. Die 5-Jahres-Folgestudie (SHIP-1) sollte diesen Zusammenhang bestätigen. Folgende Ergebnisse wurden erzielt: 1. Die Körpergröße hatte nur einen geringen Einfluss auf die Veränderung der parodontalen Situation in den fünf Folgejahren. 2. Es zeigte sich eine Tendenz des Zusammenhangs des Attachmentverlustes mit der Körpergröße. 3. Es gab Hinweise darauf, dass größere Probanden in Zusammenhang mit den Risikofaktoren einen geringeren Attachmentverlust aufwiesen als die Kleineren. 4. Die Risikofaktoren (Rauchverhalten, Bildungsniveau, Diabetes mellitus, Alter und Geschlecht) zeigten einen größeren Einfluss auf die Schwere und das Ausmaß der Parodontitis. 5. Der Zusammenhang der Körpergröße mit der parodontalen Erkrankung im Zusammenwirken mit den Risikofaktoren konnte nicht vollständig bestätigt werden. 6. Die Entzündungsparameter WBC und CRP wiesen bei den größten Probanden die geringsten Werte auf im Vergleich zu den kleinsten Probanden. 7. Von den 4290 Probanden der SHIP-0-Studie nahmen nur noch 3300 Probanden an der SHIP-1-Studie teil. Dadurch hat sich die Verteilung der Risikofaktoren verändert. Daher ergibt die Folgestudie nicht mehr bevölkerungs-repräsentative Aussagen, weil besonders die risikobelasteten Patienten dem follow-up ferngeblieben sind. Mit dieser Studie konnte der Zusammenhang der Körpergröße und Entzündungen mit der Parodontitis nicht vollständig bestätigt werden. Der Zeitraum von fünf Jahren ist möglicherweise nicht ausreichend, so dass die 10-Jahres-follow-up-Studie eine Klärung bringen sollte.
Abstract
Aim
The aim of this study was to evaluate the effect of non‐surgical periodontal therapy on circulating levels of the systemic inflammation‐associated biomarkers orosomucoid (ORM), high‐sensitivity C‐reactive protein (hsCRP), chemerin, and retinol‐binding protein 4 (RBP4) in overweight or normal‐weight patients with periodontitis at 27.5 months after therapy.
Materials and methods
This exploratory subanalysis includes patients from the ABPARO‐trial (ClinicalTrials.gov NCT00707369). The per‐protocol collective provided untreated periodontitis patients with high (≥28 kg/m2) or moderate (21–24 kg/m2) BMI. Out of the per‐protocol collective, 80 patients were randomly selected and stratified for BMI group, sex, and treatment group (antibiotics/placebo), resulting in 40 overweight and normal‐weight patients. Patients received non‐surgical periodontal therapy and maintenance at 3‐month intervals. Plasma samples from baseline and 27.5 months following initial treatment were used to measure the concentrations of ORM, hsCRP, chemerin, and RBP4.
Results
At the 27.5‐month examination, ORM and hsCRP decreased noticeably in the overweight group (ORM: p = .001, hsCRP: p = .004) and normal‐weight patients (ORM: p = .007, hsCRP: p < .001). Chemerin decreased in the overweight group (p = .048), and RBP4 concentrations remained stable.
Conclusion
Non‐surgical periodontal therapy reduced systemically elevated inflammation‐associated biomarkers in periodontitis patients. These improvements were more pronounced in overweight patients than in normal‐weight patients.
Evidence is limited regarding whether periodontal treatment improves hemoglobin A1c (HbA1c) among people with prediabetes and periodontal disease, and it is unknown whether improvement of metabolic status persists >3 mo. In an exploratory post hoc analysis of the multicenter randomized controlled trial “Antibiotika und Parodontitis” (Antibiotics and Periodontitis)—a prospective, stratified, double-blind study—we assessed whether nonsurgical periodontal treatment with or without an adjunctive systemic antibiotic treatment affects HbA1c and high-sensitivity C-reactive protein (hsCRP) levels among periodontitis patients with normal HbA1c (≤5.7%, n = 218), prediabetes (5.7% < HbA1c < 6.5%, n = 101), or unknown diabetes (HbA1c ≥ 6.5%, n = 8) over a period of 27.5 mo. Nonsurgical periodontal treatment reduced mean pocket probing depth by >1 mm in both groups. In the normal HbA1c group, HbA1c values remained unchanged at 5.0% (95% CI, 4.9% to 6.1%) during the observation period. Among periodontitis patients with prediabetes, HbA1c decreased from 5.9% (95% CI, 5.9% to 6.0%) to 5.4% (95% CI, 5.3% to 5.5%) at 15.5 mo and increased to 5.6% (95% CI, 5.4% to 5.7%) after 27.5 mo. At 27.5 mo, 46% of periodontitis patients with prediabetes had normal HbA1c levels, whereas 47.9% remained unchanged and 6.3% progressed to diabetes. Median hsCRP values were reduced in the normal HbA1c and prediabetes groups from 1.2 and 1.4 mg/L to 0.7 and 0.7 mg/L, respectively. Nonsurgical periodontal treatment may improve blood glucose values among periodontitis patients with prediabetes (ClinicalTrials.gov NCT00707369).
Objective
To evaluate the efficacy of tooth splinting (TS) and occlusal adjustment (OA) compared to no TS or OA in patients with periodontitis exhibiting masticatory dysfunction.
Material
The primary outcome criterion was tooth loss (TL), and the secondary outcome parameters were change in probing pocket depth (PPD), change in clinical attachment level (CAL), tooth mobility (TM), and patient‐reported outcome measures (PROMs). Literature search was performed on three electronic databases (from 01/1965 to 04/2021) and focused on clinical studies with at least 12 months follow‐up.
Results
From a total of 1515 publications, 51 articles were identified for full‐text reading, of which 2 retrospective case series on TS with low risk of bias and 1 randomized and 2 prospective studies on OA with unclear risk of bias were included. For TS, synthesis of data showed that in 72 patients, 26 out of 311 teeth (weighted mean incidence of TL 8.4%) and 156 out of 1541 teeth with no TS (weighted mean incidence of TL 10.1%) were lost over 2 years following non‐surgical periodontal therapy. The randomized controlled clinical trial (RCT) indicated CAL gain for teeth with OA compared to no OA. For the effect of OA on TL, PPD, and TM, heterogeneous data were retrieved from the included studies.
Conclusions
Within the limitations of this review and based on a low level of evidence, it is concluded that TS does not improve survival of mobile teeth in patients with advanced periodontitis. OA on teeth with mobility and/or premature contacts may lead to improved CAL, while the effect of OA on the remaining periodontal parameters remains unclear.
Prediction models learn patterns from available data (training) and are then validated on new data (testing). Prediction modeling is increasingly common in dental research. We aimed to evaluate how different model development and validation steps affect the predictive performance of tooth loss prediction models of patients with periodontitis. Two independent cohorts (627 patients, 11,651 teeth) were followed over a mean ± SD 18.2 ± 5.6 y (Kiel cohort) and 6.6 ± 2.9 y (Greifswald cohort). Tooth loss and 10 patient- and tooth-level predictors were recorded. The impact of different model development and validation steps was evaluated: 1) model complexity (logistic regression, recursive partitioning, random forest, extreme gradient boosting), 2) sample size (full data set or 10%, 25%, or 75% of cases dropped at random), 3) prediction periods (maximum 10, 15, or 20 y or uncensored), and 4) validation schemes (internal or external by centers/time). Tooth loss was generally a rare event (880 teeth were lost). All models showed limited sensitivity but high specificity. Patients’ age and tooth loss at baseline as well as probing pocket depths showed high variable importance. More complex models (random forest, extreme gradient boosting) had no consistent advantages over simpler ones (logistic regression, recursive partitioning). Internal validation (in sample) overestimated the predictive power (area under the curve up to 0.90), while external validation (out of sample) found lower areas under the curve (range 0.62 to 0.82). Reducing the sample size decreased the predictive power, particularly for more complex models. Censoring the prediction period had only limited impact. When the model was trained in one period and tested in another, model outcomes were similar to the base case, indicating temporal validation as a valid option. No model showed higher accuracy than the no-information rate. In conclusion, none of the developed models would be useful in a clinical setting, despite high accuracy. During modeling, rigorous development and external validation should be applied and reported accordingly.
Aim
This study aimed to identify the factors influencing the changes in the number of teeth present and the number of healthy or filled surfaces between two time points.
Materials and Methods
Repeated cross-sectional data from population-based studies, namely the German Oral Health Studies (DMS-III vs. DMS-V), the Studies of Health in Pomerania (SHIP-START-0 vs. SHIP-TREND-0), and the Jönköping study (2003 vs. 2013), were analysed. Oaxaca decomposition models were constructed for the outcomes (number of teeth, number of healthy surfaces, and number of filled surfaces).
Results
The number of teeth increased between examinations (DMS: +2.26 [adults], +4.92 [seniors], SHIP: +1.67, Jönköping: +0.96). Improvements in education and dental awareness brought a positive change in all outcomes. An increase in powered toothbrushing and inter-dental cleaning had a great impact in DMS (adults: +0.25 tooth, +0.78 healthy surface, +0.38 filled surface; seniors: +1.19 teeth, 5.79 healthy surfaces, +0.48 filled surface). Inter-dental cleaning decreased by 4% between SHIP-START-0 and SHIP-TREND-0, which negatively affected the outcomes.
Conclusions
From this study, it can be concluded that education may be the most important factor having a direct and indirect effect on the outcomes. However, for better oral health, powered toothbrushing and inter-dental cleaning should not be neglected.