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Updated: Feb 13, 2026

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An Experimental Paradigm for the Prediction of Post-Operative Pain PPOP
Published on: January 27, 2010
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Predicting Pain After Tooth Extraction: Pain Prediction Index
Journal of Oral & Facial Pain and Headache
|March 1, 2018
Summary
Seven factors predict postextraction pain, including female gender, younger age, and surgical complexity. A Pain Prediction Index (PPI) was developed to forecast pain after routine tooth extraction.
Area of Science:
- Dentistry
- Oral Surgery
- Pain Management
Background:
- Postoperative pain is a common concern following dental extractions.
- Predicting and managing postextraction pain is crucial for patient recovery and satisfaction.
Purpose of the Study:
- To identify key variables predicting pain after routine erupted tooth extraction.
- To develop a Pain Prediction Index (PPI) for forecasting postextraction pain.
- To analyze the relationships between predictive variables using path analysis.
Main Methods:
- An observational prospective study involving 781 dental extractions.
- Postoperative pain assessed using a verbal category scale (VCS) on day seven.
- Statistical analysis to identify variables significantly associated with pain (P < .05).
Main Results:
- Seven variables significantly predicted postextraction pain: female gender, age < 33, ≥3 teeth extracted, surgical technique, >3 anesthetic cartridges, surgery >25 min, and complications.
- The developed Pain Prediction Index (PPI) correctly classified 66.3% of patients.
- The PPI accurately predicted pain in 55.6% of cases when scoring >3 points.
Conclusions:
- Seven distinct variables are strongly associated with postextraction pain.
- The PPI demonstrates potential for correctly predicting postextraction pain in a majority of patients.
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