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Correlation Between Peri-implantitis and Assumptions of Medications

I.R.C.C.S Ospedale Galeazzi-Sant'Ambrogio · 2021
ClinicalTrials.gov · Datasets · License: Public Domain · 2021
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The aim of the study is to investigate the correlation between the assumption of systemic medications (such as SSRI, PPI, anti-inflammatory drugs and anti-hypertensive drugs) and the failure of dental implant therapy in terms of occurrence peri-implantitis and/or implant failure. The clinical records of all subjects treated with dental implants during the period between January 1st, 2005, and December 31st, 2020 in the Dental Clinic of the IRCCS Istituto Ortopedico Galeazzi (Milan, Italy) will be screened for inclusion. Inclusion criteria: i) subjects who were 18 years old or older at the time of intervention; ii) subjects who provided their informed consent for the intervention iii) patients with total or partial edentulism treated with dental implants; iv) patients with at least 6 months follow-up, beginning from the date of placement of the prosthesis. Exclusion criteria: i) incomplete data (e.g. absence of periapical radiographs) Descriptive statistics will be provided by means of mean values and standard deviations. Correlation between baseline parameters and outcomes will be provided through logistic regression. Survival tables and Kaplan-Meier analysis will be elaborated for survival analysis, considering the occurrence of implant failure and the diagnosis of peri-implantitis as events. Cox regression analysis will be used in order to evaluate the influence of the use of each drug on survival curves. The level of significance was set at p\<0.05. The sample size was calculated in order to evaluate the hazard risk of patients exposed to each specific drug (SSRI, PPI, Anti-inflammatory drugs or anti-hypertensive) compared to non-exposed patients. The ratio of exposed/non-exposed patients is expected to be 1:4 in the cohort. On the basis of a hypothesized 5-year incidence of peri-implantitis of 0.16, HR = 2, and a 10% dropout rate, the sample should be made of 358 subjects (72 exposed + 286 not exposed).
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