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Peri-implantitis risk factors: A prospective evaluation.
Journal of Investigative and Clinical Dentistry 2019 Februrary 8
AIM: The aim of the present study was to create a tool to evaluate the risk of peri-implantitis according its severity.
METHODS: After ethics committee approval, 43 patients provided signed consent and were included prospectively. Forty-five observations were recorded. The following criteria were recorded: number of implant faces showing bleeding and/or suppuration, pocket depth on at least two faces of the implant, bone loss as a function of the length of the implant evaluated on X-rays, number of implant faces with bacterial plaque, the parameters required for determination of excess cement (screwed or sealed prosthesis, burying of sealed prostheses), periodontal status, glycemia, and annual consumption of tobacco. Each of these parameters was plotted on a chart using Microsoft Excel.
RESULTS: Seventeen of 45 (37.8%) cases were identified as having high peri-implantitis risk, two of 45 (4.4%) had low risk, and 11 of 45 (24.4%) had moderate risk; 33.3% patients did not have peri-implantitis and were considered at very low risk.
CONCLUSION: The observed results applied to the evaluation model are an effective diagnostic tool in assessing the risk of peri-implantitis. The tool takes into account parameters, which have not been taken into account until now. The information is automatically processed and allows early management of peri-implantitis.
METHODS: After ethics committee approval, 43 patients provided signed consent and were included prospectively. Forty-five observations were recorded. The following criteria were recorded: number of implant faces showing bleeding and/or suppuration, pocket depth on at least two faces of the implant, bone loss as a function of the length of the implant evaluated on X-rays, number of implant faces with bacterial plaque, the parameters required for determination of excess cement (screwed or sealed prosthesis, burying of sealed prostheses), periodontal status, glycemia, and annual consumption of tobacco. Each of these parameters was plotted on a chart using Microsoft Excel.
RESULTS: Seventeen of 45 (37.8%) cases were identified as having high peri-implantitis risk, two of 45 (4.4%) had low risk, and 11 of 45 (24.4%) had moderate risk; 33.3% patients did not have peri-implantitis and were considered at very low risk.
CONCLUSION: The observed results applied to the evaluation model are an effective diagnostic tool in assessing the risk of peri-implantitis. The tool takes into account parameters, which have not been taken into account until now. The information is automatically processed and allows early management of peri-implantitis.
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