OBJECTIVE: To evaluate the frequency of peri-implant diseases and factors associated with its occurrence. MATERIAL AND METHODS: One hundred and fifty-five patients with dental implants were evaluated in this cross-sectional study. Dental implants were clinically and radiographically evaluated to diagnose their peri-implant condition, according to Mombelli (Proceedings of the 3rd European Workshop on Periodontology, 1999, Quintessence, London). Associations between peri-implant diseases and independent variables (socioeconomic, demographic and periodontal characteristics) were evaluated through bivariate analysis with chi-squared and Fisher's exact tests, as well as by multiple logistic regression. The significance level was set at 5%. RESULTS: The frequencies of the peri-implant diseases, mucositis and peri-implantitis, in individuals were 54% and 28% (CI, 95%), respectively. The sample was almost exclusively of patients with untreated periodontal disease (93%). Bivariate analysis showed that these peri-implant diseases were associated with male patients (prevalence ratio [PR], 3.38), medication use (PR, 2.94), systemic diseases (PR, 2.25), number of implants (PR, 2.53), visible plaque index (PR, 2.49) and gingival index (PR, 2.70). Multiple logistic regression analysis showed that medication use (prevalence ratio adjusted [PRadj], 1.23; 95% CI: 1.04-1.46; P = 0.017), having two or more implants (PRadj, 1.22; 95% CI: 1.02-1.46; P = 0.029) and gingival bleeding index > 10% (PRadj, 1.22; 95% CI: 1.03-1.44; P = 0.022) were associated with the presence of peri-implant disease. CONCLUSION: Peri-implant diseases were diagnosed in 54% of patients; gingival index of greater than 10%, having more than two implants and use of medication were associated with the frequency of peri-implant disease.
OBJECTIVE: To evaluate the frequency of peri-implant diseases and factors associated with its occurrence. MATERIAL AND METHODS: One hundred and fifty-five patients with dental implants were evaluated in this cross-sectional study. Dental implants were clinically and radiographically evaluated to diagnose their peri-implant condition, according to Mombelli (Proceedings of the 3rd European Workshop on Periodontology, 1999, Quintessence, London). Associations between peri-implant diseases and independent variables (socioeconomic, demographic and periodontal characteristics) were evaluated through bivariate analysis with chi-squared and Fisher's exact tests, as well as by multiple logistic regression. The significance level was set at 5%. RESULTS: The frequencies of the peri-implant diseases, mucositis and peri-implantitis, in individuals were 54% and 28% (CI, 95%), respectively. The sample was almost exclusively of patients with untreated periodontal disease (93%). Bivariate analysis showed that these peri-implant diseases were associated with male patients (prevalence ratio [PR], 3.38), medication use (PR, 2.94), systemic diseases (PR, 2.25), number of implants (PR, 2.53), visible plaque index (PR, 2.49) and gingival index (PR, 2.70). Multiple logistic regression analysis showed that medication use (prevalence ratio adjusted [PRadj], 1.23; 95% CI: 1.04-1.46; P = 0.017), having two or more implants (PRadj, 1.22; 95% CI: 1.02-1.46; P = 0.029) and gingival bleeding index > 10% (PRadj, 1.22; 95% CI: 1.03-1.44; P = 0.022) were associated with the presence of peri-implant disease. CONCLUSION: Peri-implant diseases were diagnosed in 54% of patients; gingival index of greater than 10%, having more than two implants and use of medication were associated with the frequency of peri-implant disease.
Authors: Pedro Diaz; Esther Gonzalo; Luis J Gil Villagra; Barbara Miegimolle; Maria J Suarez Journal: BMC Oral Health Date: 2022-10-19 Impact factor: 3.747
Authors: J C Wohlfahrt; B J Evensen; B Zeza; H Jansson; A Pilloni; A M Roos-Jansåker; G L Di Tanna; A M Aass; M Klepp; O C Koldsland Journal: Int J Implant Dent Date: 2017-08-03
Authors: Sven Rinke; Marc Nordlohne; Andreas Leha; Stefan Renvert; Gerhard Schmalz; Dirk Ziebolz Journal: J Periodontal Implant Sci Date: 2020-05-20 Impact factor: 2.614
Authors: Mattias Pettersson; Jean Pettersson; Margareta Molin Thorén; Anders Johansson Journal: J Biomed Mater Res A Date: 2018-09 Impact factor: 4.396