A Prognostic Model for the Outcome of Nobel Biocare Dental Implants with Peri-Implant Disease after One Year

Abstract

Background: This investigation, based on a 1-year retrospective cohort study, aimed to estimate and validate a prognostic model for ailing and failing implants due to peri-implant disease. Methods: A total of 240 patients (male: 97; female: 143; average age of 57.3 years) with at least one ailing or failing implant were included: 120 patients for model derivation and 120 patients for model validation. The primary outcome measure was the implant status: success, defined as the arrest of the disease, or failure defined as implant extraction, prevalence or re-incidence of peri-implant disease). Potential prognostic risk indicators were collected at the baseline evaluation. The relative risk (RR) was estimated for the predictors through logistic regression and the c-statistic (95% confidence interval) was calculated for both derivation and validation sets. The significance level was set at 5%. Results: The risk model retrieved the prognostic factors age (RR = 1.04), history of Periodontitis (RR = 3.13), severe peri-implant disease status (RR = 3.26), implant length (RR = 3.52), early disease development (RR = 3.99), with good discrimination in both the derivation set (0.763 [0.679; 0.847]) and validation set (0.709 [0.616; 0.803]). Conclusions: A prognostic risk model for estimating the outcome of implants with peri-implant disease is available, with a good performance considering the c-statistic evaluation.

Peri-Implant Diseases: Diagnosis, Clinical, Histological, Microbiological Characteristics and Treatment Strategies. A Narrative Review

“…However, the reliability of a prognostication system on a blind survey is low. A prognostic model was developed, based on retrospective 1-year results of Nobel Biocare implants [ 47 ]. The algorithm took into consideration factors that were found to be significant: age, history of periodontitis, severe peri-implant disease status, implant length and early disease development.…”

Outcomes of Immediately & Conventionally Loaded Dental Implants

“…The systematic reviews that undertake "RCTs" to analyze their results, show high level of scientific validation to answer a clinical querry as risk of bias is likely to be high in non-randomized clinical trials. [17][18][19] For present systematic review six RCTs comparing the results of immediately versus conventionally loaded implants were selected.…”

Science, Innovation and Education as Pillars of High-Quality Implant Dentistry: Overcoming Challenges through Innovation Dictates Trends

“…This poses a significant challenge for the recovery of the peri-implant complex, due to both the doubts concerning current treatments [28] and the early stage of the development of new treatments [29]. The first prognostic model for implants with peri-implant disease to be derived and validated in implant dentistry was published in this Special Issue, being useful to understand the prognosis of the implant(s) in question and shed light on the possible (favorable or unfavorable) outcomes [30].…”