University of Illinois at Chicago
Browse
TANNAMADHAVANI-THESIS-2021.pdf (1.23 MB)

UIC College of Dentistry Implants Outcome Study

Download (1.23 MB)
thesis
posted on 2021-05-01, 00:00 authored by Manali Tanna Madhavani
Objectives: This study proposed to evaluate the outcome of implants placed in the UIC COD clinics and assess the various factors that could have resulted in or predicted the health outcome of the implants. The main objectives of the study were to evaluate outcomes of the implants placed at UIC College of Dentistry and identifying factors associated with peri-implant diseases and implant failure. The study also aimed to introduce the use of a novel artificial neural model analysis to predict the most important factors affecting implant survival and implant success. Methods: Axium database was used to collect data for the study. The study consisted of two components. (I) A retrospective component which included evaluation of implants placed between January 1, 2012 to October 31, 2018. (II) A prospective component where the data from the retrospective study was utilized to identify a select set of subjects who received Dentsply OsseoSpeed EV implants during January 1, 2015 to December 31, 2016. Out of this dataset, 36 subjects were randomly selected to perform clinical and radiographic evaluation of the implant(s). Results: The multivariate analysis showed that tobacco smoking, diabetes, history of periodontitis and bone grafting simultaneously with implant placement were significantly associated with peri-implant mucositis (P value <0.05). Results of the artificial neural network model analysis showed that tobacco smoking, patient’s age at the time of implant placement, history of periodontitis and bone grafting prior to or at the time of implant placement are the most important variables predicting implant outcomes (>97% model accuracy. Conclusion: Tobacco smoking, patient’s age at the time of implant placement, history of periodontitis and bone grafting either prior to or at the time of implant placement are the most important predictors for development of peri-implant diseases and implant survival. Funding: Dentsply Sirona Implants, Sweden IRB Protocol #: 2018-1552

History

Advisor

Gajendrareddy, Praveen

Chair

Gajendrareddy, Praveen

Department

Periodontics

Degree Grantor

University of Illinois at Chicago

Degree Level

  • Masters

Degree name

MS, Master of Science

Committee Member

Allareddy, Veerasathpurush Cooper, Lyndon Thalji, Ghadeer

Submitted date

May 2021

Thesis type

application/pdf

Language

  • en

Usage metrics

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC