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Updated: May 19, 2026
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A Postoperative Evaluation Guideline for Computer-Assisted Reconstruction of the Mandible
Published on: January 28, 2020
Early prognostic indicators and outcome prediction model for replanted avulsed teeth.
O Rhouma1, A D McMahon, R R Welbury
1Department of Paediatric Dentistry, Glasgow Dental Hospital and School, Glasgow, UK. ousamarhouma@hotmail.com
Summary
Predicting avulsed tooth reimplantation success is possible using early clinical factors. Patient age, root formation, storage medium, and tooth mobility significantly predict long-term treatment outcomes.
Area of Science:
- Dental Traumatology
- Prognostic Modeling
- Oral Surgery
Background:
- Avulsed teeth require prompt management to optimize prognosis.
- Predicting treatment outcomes aids in clinical decision-making and patient counseling.
Purpose of the Study:
- To identify early clinical variables predictive of treatment success for avulsed teeth.
- To develop a predictive model for treatment outcomes based on these variables.
Main Methods:
- Retrospective analysis of a dental trauma database (1998-2007).
- Univariate and multivariate logistic regression models were used to assess variable significance and predictive power (c-index).
Main Results:
- Five variables demonstrated significant predictive power: patient age (c=0.80), root formation stage (c=0.76), storage medium (c=0.58), mobility post-dressing (c=0.70), and mobility post-splinting (c=0.70).
- Developed models showed good predictive abilities (c-indices of 0.80 and 0.74).
Conclusions:
- Predictive models incorporating age, root formation, storage, and mobility offer high prognostic value for avulsed and replanted teeth.
- These models enable early estimation of long-term outcomes, facilitating informed treatment planning.
