Dental implant failure (DIF) is a significant concern in the field of dentistry, with an increasing rate of occurrence in recent years. This article aims to provide a comprehensive, data-driven analysis of the reasons behind dental implant failure, drawing on the latest research and studies in the field.
Early and Late Dental Implant Failure
Dental implant failure can be classified into two categories: early and late implant failure. Early dental implant failure is associated with surgical incidents and implant loading time. A retrospective clinical study on 9080 implants found that early dental implant failure occurred at a rate of 83.48%.
Late implant failures, on the other hand, are usually of infectious origin, with peri-implantitis being the most common, present in 34% of patients. Late failures often present no implant mobility because implants always have excellent osseointegration.
Risk Factors for Dental Implant Failure
Several risk factors contribute to dental implant failure. These include age, gender, systemic diseases, smoking habits, implant type and size, and surgery-related factors.
A study found that the incidence of implant failure in guided surgery versus free-hand surgery was 2.25% and 6.42%, respectively. This suggests that the surgical method can significantly impact the success rate of dental implants.
Dental Implant Failure Rates
The overall failure rate of dental implants varies across different studies. A six-year retrospective observational survey found a failure rate of 3.11%, while a retrospective clinical study on 9080 implants reported a survival rate of 96.13%.
Management of Dental Implant Failure
Managing dental implant failure requires identifying the cause to treat the current condition and gain knowledge for future therapies. Timely intervention is always possible with routine checkups, and minimizing the number and severity of issues requires knowledge, learning, and experience.
In conclusion, dental implant failure is a multifaceted issue with various contributing factors. Understanding these factors can help clinicians improve their practices and reduce the rate of dental implant failure.