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J. appl. oral sci ; 22(5): 403-408, Sep-Oct/2014. tab, graf
Article in English | LILACS, BBO | ID: lil-729849

ABSTRACT

Objective: The aim of this study was to evaluate the relationship between the number of pillar implants of implant-supported fixed prostheses and the prevalence of periimplant disease. Material and Methods: Clinical and radiographic data were obtained for the evaluation. The sample consisted of 32 patients with implant-supported fixed prostheses in function for at least one year. A total of 161 implants were evaluated. Two groups were formed according to the number of implants: G1) ≤5 implants and G2) >5 implants. Data collection included modified plaque index (MPi), bleeding on probing (BOP), probing depth (PD), width of keratinized mucosa (KM) and radiographic bone loss (BL). Clinical and radiographic data were grouped for each implant in order to conduct the diagnosis of mucositis or peri-implantitis. Results: Clinical parameters were compared between groups using Student’s t test for numeric variables (KM, PD and BL) and Mann-Whitney test for categorical variables (MPi and BOP). KM and BL showed statistically significant differences between both groups (p<0.001). Implants from G1 – 19 (20.43%) – compared with G2 – 26 (38.24%) – showed statistically significant differences regarding the prevalence of peri-implantitis (p=0.0210). Conclusion: It seems that more than 5 implants in total fixed rehabilitations increase bone loss and consequently the prevalence of implants with periimplantitis. Notwithstanding, the number of implants does not have any influence on the prevalence of mucositis. .


Subject(s)
Humans , Male , Female , Middle Aged , Aged , Aged, 80 and over , Dental Implants/adverse effects , Dental Prosthesis, Implant-Supported/adverse effects , Mucositis/etiology , Peri-Implantitis/etiology , Alveolar Bone Loss/etiology , Alveolar Bone Loss , Dental Plaque Index , Dental Restoration Failure , Mouth Mucosa , Mucositis , Peri-Implantitis , Periodontal Index , Risk Factors , Statistics, Nonparametric , Time Factors
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