Feher, Balazs; Spandl, Lisa-Franziska; Lettner, Stefan; Ulm, Christian; Gruber, Reinhard; Kuchler, Ulrike (2021). Prediction of post-traumatic neuropathy following impacted mandibular third molar removal. Journal of dentistry, 115, p. 103838. Elsevier Science 10.1016/j.jdent.2021.103838
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OBJECTIVES
The extraction of impacted mandibular third molars is a common surgical procedure often associated with complications including post-traumatic neuropathy. Previous work has focused on identifying confounding factors, but a robust preoperative risk prediction model remains elusive.
METHODS
Using a dataset of 648 patients and 812 impacted mandibular third molars, we used least absolute shrinkage and selection operator (LASSO) to fit prediction models based on risk factors assessed at both the tooth and patient levels. In addition, we fitted multivariable logistic regression models with the Firth correction for generalized estimating equations (GEE).
RESULTS
The LASSO model for post-traumatic neuropathy identified distoangular impaction of ≥ 45° (odds ratio [OR] = 2.9), proximity to the inferior alveolar nerve of ≤ 3 mm (OR = 1.9), disadvantageous curving (OR = 1.4), and psychiatric conditions (OR = 2.1) as predictors [area under the receiving operator characteristic curve (AUC) = 0.75]. Among other complications analyzed, the LASSO model for bleeding identified deep embedding or full impaction (OR = 1.8), psychiatric conditions (OR = 1.3), and age (OR = 0.9) as predictors (AUC = 0.64). These associations between predictors and postoperative complications were fundamentally reinforced by the corresponding GEE models.
CONCLUSIONS
Our findings point to the predictability of post-traumatic neuropathy and bleeding based on tooth anatomy and patient characteristics, overall suggesting that preoperatively identifiable factors can predict the risk of adverse outcomes in the extraction of impacted mandibular third molars.
CLINICAL SIGNIFICANCE
Mandibular third molar extraction is both a routine procedure and a leading cause of trigeminal neuropathy. Prevention of post-traumatic neuropathy, aided by individualized preoperative risk prediction, is of high clinical relevance.
Item Type: |
Journal Article (Original Article) |
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Division/Institute: |
04 Faculty of Medicine > School of Dental Medicine > Department of Periodontology 04 Faculty of Medicine > School of Dental Medicine > Periodontics Research |
UniBE Contributor: |
Gruber, Reinhard |
Subjects: |
600 Technology > 610 Medicine & health |
ISSN: |
0300-5712 |
Publisher: |
Elsevier Science |
Language: |
English |
Submitter: |
Doris Burri |
Date Deposited: |
27 Jan 2022 12:07 |
Last Modified: |
05 Dec 2022 16:01 |
Publisher DOI: |
10.1016/j.jdent.2021.103838 |
PubMed ID: |
34624417 |
Uncontrolled Keywords: |
Biostatistics Dentistry Models Molar Statistical Surgery, oral Tooth extraction |
BORIS DOI: |
10.48350/163948 |
URI: |
https://boris.unibe.ch/id/eprint/163948 |