J Dent Rehabil Appl Sci.  2022 Jun;38(2):97-109. 10.14368/jdras.2022.38.2.97.

The risk factors for implant survival and marginal bone loss: a retrospective long-term study

• Lee EW
• Jung HN
• Jo Y
• Kim OS

• KMID: 2535017
• DOI: http://doi.org/10.14368/jdras.2022.38.2.97

Abstract

Purpose
This study aims to investigate the risk indicators contributing to implant failure, and analyze the relationship between risk indicators and marginal bone loss (MBL) through long-term follow-up over 3 years.
Materials and Methods
From 2003 to 2017, patients’ medical charts with a history of dental implant surgery at Chonnam National University Dental Hospital were reviewed retro-spectively. The patient’s demographic variables, and clinical variables were recorded. Periapical radiographs were used to evaluated the changes in MBL around implants. And we analyzed implant survival rates. Multiple regression analysis with backward elimina-tion was conducted to correlate the patient’s clinical variables and implant failure and Pearson correlation analysis was performed to the correlated between implant long-term survival rates and MBL and initial stability.
Results
In multiple regression analysis, there was a statistically significant negative correlation between abutment connection type ( β = -.189, P < .05), with or without SPT ( β = -.163, P < .05), diabetes ( β = -.164, P < .05), osteoporosis ( β = -.211, P < .05) and MBL. Anticoagulant medication influenced the long-term success rate of implants. PTV values at the second implant surgery showed a statistically significant negative correlation with long-term implant survival (P < .05).
Conclusion
For the long-term success of the implant, the appropriate abutment connection type must be selected and the periodic SPT is recommended. Systemic diseases such as diabetes and osteoporosis and antico-agulant medication should be considered. Furthermore, since high PTV at the second implant surgery correlated with the long-term survival rates of the implant, initial stability should be carefully considered before undergoing the prosthetic procedure.

Keyword

implant stability; implant survival rate; implant success rate; marginal bone loss

Figure

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  Fig. 1 Flow chart of the final study sample. PTV, periotest value; ISQ, implant stability quotient.

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  Fig. 2 Measurement of marginal bone loss.

Reference

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