The sample consisted of 1350 individuals of both genders, divided by two groups: cases and controls. The average age of our sample was 55.8 years (standard deviation Daporinad concentration = 10.2 years), with a minimum of 28 years and a maximum of 88 years. The majority of participants were female (62.7%). The implants were inserted between February 1998 and November 2006. Peri-implant pathology was diagnosed, on average, 3 years after
implant insertion. Data collection consisted of indirect documentation, filling in the data on a digital form, and through consulting the patient’s clinical file (record sheets, radiographs, medical questionnaire, and clinical diary). The independent variables were: implant length in millimeters (IL) (7 mm, 8.5 mm, 10 mm, 11.5 mm, 13 mm, 15 mm, 18 mm); implant diameter in millimeters (3 to 3.5 mm, 3.75 to 4.3 mm, 5 to 6 mm); implant surface (IS) (machined, oxidized); presence of cantilevers (0, ≥1); ICR (2:1, 1:1), type of abutment (TA) (straight: 0°; 17° angulated, 30° angulated); abutment
height (1 mm, 2 mm, 3 mm, 4 mm, 5 mm); fracture of prosthetic components (FPCs) (absent, present); type of prosthetic reconstruction (TPR) (single teeth, partial rehabilitation, complete rehabilitation); type of material used in the prosthesis (TMUP) (ceramic, metal-ceramic, acrylic); loosening of prosthetic components (LPCs) (absent, www.selleckchem.com/products/Staurosporine.html present); passive misfit (PM) diagnosed
within the previous year (absent, present). Univariate analysis for characterization of cases and controls in relation to the independent variables was performed. Bivariate analysis was conducted to evaluate the difference between the groups of cases and controls in relation to the independent variables. In nominal independent variables, the comparison between cases and controls was performed using the Chi-square test (upon presence of applicability conditions, otherwise the Teicoplanin Fisher exact test was applied, with supplemental measures of Cramer’s V or the contingency coefficient). Crude odds ratios (OR) with 95% confidence intervals were calculated for the variables significantly different in the bivariate analysis. Estimation of attributable fraction (AF) of peri-implant pathology for the cases exposed to the risk factors identified in the bivariate analysis was calculated through an equation[71] according to the odds ratio of exposure. The univariate analysis is described in Tables 1 to 5. Considering the implants, the sample revealed a majority of implants with 15 mm or more in length, 3.75 to 4.3 mm in diameter, and an oxidized surface. A majority of reconstructions were single teeth, without cantilevers, with metal-ceramic material used in the prosthesis, with a 1:1 ICR, and using straight abutments of 2 mm.