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Factors Influencing Early Dental Implant Failures
B R Chrcanovic1, J Kisch2, T Albrektsson3
1Department of Prosthodontics, Faculty of Odontology, Malmö University, Malmö, Sweden bruno.chrcanovic@mah.se brunochrcanovic@hotmail.com.
Journal of Dental Research
|May 6, 2016
Summary
Smoking and antidepressant use are key risk factors for early dental implant failure. This study highlights the importance of considering patient health factors to improve implant success rates.
Area of Science:
- Dental Implantology
- Biomaterials Science
- Clinical Dentistry
Background:
- Dental implant failure can occur at various stages, impacting treatment outcomes.
- Understanding factors influencing early implant loss is crucial for improving success rates.
- Previous research has identified several potential risk factors, but comprehensive analysis is ongoing.
Purpose of the Study:
- To investigate the impact of local and systemic factors on dental implant failures occurring before second-stage surgery (abutment connection).
- To identify significant predictors of early dental implant loss in a large patient cohort.
- To provide evidence-based insights for optimizing dental implant procedures.
Main Methods:
- Retrospective analysis of 10,096 dental implants in 2,670 patients treated between 1980 and 2014.
- Collection and analysis of anatomic, patient, health, and implant-related factors.
- Application of univariate, multivariate logistic regression, and generalized estimating equation models to assess failure predictors.
Main Results:
- A total of 176 implants (1.74%) failed before second-stage surgery.
- Smoking and antidepressant medication intake were statistically significant predictors of early implant failure in the multivariate model.
- Implant distribution across varying bone quantities and qualities showed no significant difference between early and late failures.
Conclusions:
- Smoking and antidepressant use are significant risk factors associated with early dental implant failure.
- These findings underscore the importance of patient-specific health status in predicting implant survival.
- Further research should focus on mitigating these identified risk factors to enhance dental implant success.

