The Periotest (with -2 cutoff) at first surgery offers high sensitivity in the prognosis of early implant loss and shows a greater capacity to evaluate stability during the osseointegration period compared with radiographic study.

According to these findings, primary DIS failure is more likely in females, at sites other than the anterior mandible, and with dental implants shorter than 15 mm, at least when non-threaded titanium implants are used. These data may be of value in the identification of patients at a high risk of primary DIS failure with immediate implant loading.

Objectives To assess the potential trends for the year 2030 in dental implant dentistry in Europe using the Delphi methodology. Material and methods A steering committee and a management team of experts in implant dentistry were created and validated a questionnaire including 60 questions, divided in eight topics. The survey was conducted in two rounds using an anonymous questionnaire, which provided the participants in the second round with the results of the first. Each question had three possible answers, and the results were expressed as percentages. Results A total of 138 experts were invited to participate in the survey. From all the invited experts, 52 answered in both the first and second rounds. Three different consensus categories were established based on the percentage of agreement: no consensus (<65%); moderate consensus (65%–85%); and high consensus (≥86%). Within the topic categories, a consensus was reached (mainly moderate consensus) for the majority of questions discussed among experts during a face to face consensus meeting. However, consensus was not reached for a small number of questions/topics. Conclusions About 82% of the questions reached consensus. The consensus points towards a lower number of implants to replace chewing units, with implants surfaces made of bioactive materials with reduced micro‐roughness using mainly customized abutments with polished surfaces and an internal implant–abutment connection (85%). CBCT‐3D technologies will be the main tool for pre‐surgical implant placement diagnosis together with direct digital restorative workflows. There will be an increase in the incidence of peri‐implantitis, although there will be more efficient interventions its treatment and prevention.

AimsTo develop a prediction model for tooth loss due to periodontal disease (TLPD) in patients following periodontal maintenance (PM), and assess its performance using a multicentre approach.Material and methodsA multilevel analysis of eleven predictors of TLPD in 500 patients following PM was carried out to calculate the probability of TLPD. This algorithm was applied to three different TLPD samples (369 teeth) gathered retrospectively by nine periodontist, associating several intervals of probability with the corresponding survival time, based on significant differences in the mean survival time. The reproducibility of these associations was assessed in each sample (One‐way ANOVA and pairwise comparison with Bonferroni corrections).ResultsThe model presented high specificity and moderate sensitivity, with optimal calibration and discrimination measurements. Seven intervals of probability were associated with seven survival time and these associations contained close to 80% of the cases: the probability predicted the survival time at this percentage. The model performed well in the three samples, as the mean survival time of each association were significantly different within each sample, while no significant differences between the samples were found in pairwise comparisons of means.ConclusionsThis model might be useful for predicting survival time in different TLPD samples.

Short-or long-term implant survival and success are related to peri-implant marginal bone loss (MBL), among other key factors. The purpose of this study was to analyze the role of clinical and implant-related variables in MBL over a long-term follow-up. Materials and Methods: A retrospective study of 558 implants in 172 patients was conducted, analyzing the relationship between MBL and clinical, implant-related, and prosthetic design-related variables. MBL was measured on digital radiographs with specific software, using implant threads as reference. Results: Linear mixed analysis revealed the following significant effects: a lower mean MBL for type IV bone

Aim To identify loci associated with stages III/IV, grade C periodontitis (PIII/IV‐C) through a genome‐wide association study (GWAS). Materials and Methods 441 Caucasian Spanish PIII/IV‐C cases from the SEPA Network of Research Clinics and 1141 controls from the Banco Nacional de ADN were genotyped with “Axiom Spain Biobank Array,” which contains 757836 markers, including rare and low‐frequency Spanish variants. The analysis of the individual association and subsequently the gene‐level analysis with Sequence Kernel Association Test (SKAT) were carried out adjusting for age, sex and PC1 covariates. Pathway Analysis was additionally performed with Ingenuity Pathway Analysis (IPA) software on the top associated genes. Results In the individual analyses, no genome‐wide significant signals were detected. However, 8 SNPs of 8 loci reached suggestive evidence of association with PIII/IV‐C, including FAT3 rs35709256, CSNK1G2 rs4807188, MYH13 rs2074872, CNTN2 rs116611488, ANTXR1 rs4854545, 8p23.2 rs78672540, ANGPT1 rs13439823 and PLEC rs11993287 (p < 5 × 10−6). SKAT analysis identified other interesting signals at CNTN2, FBXO44, AP1M2, RSPO4, KRI1, BPIFB1 and INMT, although their probability does not exceed the multiple‐test correction. IPA indicated significant enrichment of pathways related to cAMP, IL‐2, CD28, VDR/RXR and PI3K/Akt.  Conclusions GWAS found no SNPs significantly associated with PIII/IV‐C.

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