Background: Patients with a history of periodontal disease are believed to be at greater risk than other patients for peri-implant disease. The polymorphism of IL-1, certain systemic diseases, microbiological and other local factors are analyzed in this risk group to evaluate the influence of each of them on the survival of periimplantitis.
Aim: To describe the survival of periimplantitis in the selected group of patients and to obtain a explanatory model of the disease.
Materials and Methods: A prospective study was designed in a convenience cohort to evaluate the survival of periimplantitis, the risk of potential of different clinical parameters, bacteria and the genetics markers of IL1B (+3954) and IL1RN (intron 2) polymorphisms with periimplant disease. A total of 104 patients, 617 implants placed by the same operator with the same surface and chemical composition were studied by a 6 years and 9 months of follow up. All patient were included in a maintenance program. The patient´s DNA was obtained by extracting epitelial cells from the oral mucosa and analyzed by real-time PCR. Data processing and statistical analysis was performd using IBM® SPSS® Statistics 25 and MedCalc® Statistical Software versión 14.8.1.
Results: Several multivariate analyses were performed using Cox proportional risk model (Wald) to estimate the relative risk of periimplantitis. Previosly, bivariate analyses, Kaplan-Meier models and Logrank tests were obtained to determine the variables included in the models.The model that best defined the disease with an 85,7% sensivity included the genotypes considered to be at risk, two bacteria (T.forsythia and P.intermedia), the consumption os SSRIs and the level of oral hygiene (model 5).
Conclusion: The genotypes studied considered to be at risk, the consumption of antidepressants, T.forsythia, P. intermedia and the level of oral higiene are related to an increased risk of suffering periimplantitis in patients with periodontal disease.

Predictive model of periimplantitis in patients with periodontal disease. Genetic, microbiological and clinical risk factors.