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Development of Multiple Risk Prediction Models for Postoperative Symptoms Following Dental Implant Surgery
Xiaowen Ma1, Huiwen Zeng2, Yajin Li1
1Department of Prosthodontics, Peking University School and Hospital of Stomatology & National Center of Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, Beijing, China.
Predicting postoperative discomfort after dental implant surgery is crucial. This study identified key factors influencing swelling, pain, and foreign body sensation to improve patient care and satisfaction.
Area of Science:
- Oral surgery
- Dental implantology
- Patient outcomes research
Background:
- Dental implants are a common tooth replacement solution with high success rates.
- Patients frequently experience postoperative discomfort, including pain, swelling, and foreign body sensation.
- Predicting these symptoms based on patient characteristics is an underexplored area.
Purpose of the Study:
- To develop and validate risk models for predicting patient-reported postoperative symptoms following dental implant surgery.
- To identify clinical and demographic predictors of swelling, pain, and foreign body sensation.
Main Methods:
- A cohort of 506 patients undergoing dental implant surgery was analyzed.
- Postoperative symptoms were quantified using Numerical Rating Scales (NRS).
- Multivariable ordinal logistic regression models were employed to identify predictors.
Main Results:
- Swelling, pain, and foreign body sensation were reported by 65.6%, 55.6%, and 63.1% of patients, respectively.
- Predictors of increased swelling included female sex, hypertension, multiple surgical sites, membrane use, and 4.8-mm diameter implants.
- Pain was associated with multiple surgical sites and bone substitute use, while foreign body sensation decreased with age and increased with multiple sites.
Conclusions:
- Postoperative discomfort is prevalent after dental implant procedures, with considerable variation in severity.
- Identifying specific predictors allows for personalized preoperative counseling and targeted postoperative interventions.
- Tailoring management strategies can enhance patient outcomes and overall satisfaction.
