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Clinical complications with implants and implant prostheses.
Charles J Goodacre1, Guillermo Bernal, Kitichai Rungcharassaeng
1School of Dentistry, Loma Linda University, Calif 92350, USA. cgoodacre@sd.llu.edu
The Journal of Prosthetic Dentistry
|July 30, 2003
Summary
This study categorizes complications of endosseous root form implants. Common issues include overdenture mechanism loosening and implant loss in specific patient groups, indicating higher complication rates for implant prostheses.
Area of Science:
- Dentistry
- Biomaterials Science
- Prosthodontics
Background:
- Endosseous root form implants are widely used in dental restorations.
- Understanding associated complications is crucial for improving patient outcomes and treatment planning.
Purpose of the Study:
- To identify and categorize reported complications associated with endosseous root form implants and their prostheses.
- To analyze the incidence of various complications based on available clinical data.
Main Methods:
- Conducted a Medline and hand search of English-language publications from 1981 onwards.
- Focused on studies reporting clinical data on implant success, failure, and complications.
- Classified complications into surgical, implant loss, bone loss, soft tissue, mechanical, and esthetic/phonetic categories.
Main Results:
- Identified specific high-incidence complications: overdenture retentive mechanism loosening (33%), implant loss in irradiated maxillae (25%), and hemorrhage-related issues (24%).
- Other notable complications included resin veneer fracture (22%) and implant loss in maxillary overdentures (21%).
- Implant prostheses showed a trend toward higher complication incidence compared to single crowns and fixed partial dentures.
Conclusions:
- Complications associated with endosseous implants vary widely, with mechanical and implant loss issues being prominent.
- Implant prostheses, in general, appear to have a higher complication rate than simpler restorations.
- Further research is needed to establish an overall complication incidence due to data heterogeneity across studies.