Ten-Year Retrospective Analysis of the Prevalence of Alveolar Osteitis Following Surgical Extraction of Mandibular Third Molars

Background This retrospective study investigated the prevalence and risk factors of alveolar osteitis (AO) following mandibular third molar extractions at Loma Linda University School of Dentistry (2013–2024).Materials and Methods Patient records were analyzed for AO associations with pericoronitis, hypertension, diabetes mellitus, smoking, and oral contraceptive use. Extractions were categorized by impaction type: complete bony (CBIT), partial bony (PBIT), soft tissue (STIT), or erupted (EMT). Statistical analysis employed binomial logistic regression and ANOVA with Tukey post-hoc tests.Results Among 3,999 patients, AO prevalence was 5.1%. Pericoronitis history significantly increased AO risk in PBIT cases (p < 0.01). Hypertension reduced AO risk for CBIT (OR 0.23) and PBIT (OR 0.22), as did diabetes (CBIT: OR 0.20; PBIT: OR 0.05). Smokers 33–52 years had elevated AO risk (OR 3.00).Conclusion Preoperative risk assessment should prioritize smokers and patients with pericoronitis history. Standardized documentation using ICD-10 coding and differential diagnosis of AO versus delayed healing is critical to improve prevention strategies.Practical Implications Clinicians should implement risk factor assessment during comprehensive or periodical oral examination (release or assumption of the risk) and proactive follow-up care for patients with a history of pericoronitis and smoking (33–52 age group).

Authors

Institutions

Publication Details

Journal
Journal of the California Dental Association
Published
2025-10-08
DOI
https://doi.org/10.1080/19424396.2025.2565327
Primary Topic
Dental Radiography and Imaging
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Ten-Year Retrospective Analysis of the Prevalence of Alveolar Osteitis Following Surgical Extraction of Mandibular Third Molars

Patrick Zhan‐Yun Lim, So Ran Kwon, A N Gurin, Carlos M. Moretta et al.
Journal of the California Dental Association
Dental Radiography and Imaging
article

Ten-Year Retrospective Analysis of the Prevalence of Alveolar Osteitis Following Surgical Extraction of Mandibular Third Molars

Patrick Zhan‐Yun Lim, So Ran Kwon, A N Gurin, Carlos M. Moretta, Udochukwu Oyoyo, Adeyemi Falegan, Mahmoud Mahdavian
article en

Abstract

Background This retrospective study investigated the prevalence and risk factors of alveolar osteitis (AO) following mandibular third molar extractions at Loma Linda University School of Dentistry (2013–2024).Materials and Methods Patient records were analyzed for AO associations with pericoronitis, hypertension, diabetes mellitus, smoking, and oral contraceptive use. Extractions were categorized by impaction type: complete bony (CBIT), partial bony (PBIT), soft tissue (STIT), or erupted (EMT). Statistical analysis employed binomial logistic regression and ANOVA with Tukey post-hoc tests.Results Among 3,999 patients, AO prevalence was 5.1%. Pericoronitis history significantly increased AO risk in PBIT cases (p < 0.01). Hypertension reduced AO risk for CBIT (OR 0.23) and PBIT (OR 0.22), as did diabetes (CBIT: OR 0.20; PBIT: OR 0.05). Smokers 33–52 years had elevated AO risk (OR 3.00).Conclusion Preoperative risk assessment should prioritize smokers and patients with pericoronitis history. Standardized documentation using ICD-10 coding and differential diagnosis of AO versus delayed healing is critical to improve prevention strategies.Practical Implications Clinicians should implement risk factor assessment during comprehensive or periodical oral examination (release or assumption of the risk) and proactive follow-up care for patients with a history of pericoronitis and smoking (33–52 age group).

Journal of the California Dental AssociationVol. 53(1)
Loma Linda University (US)
Openalex Percentile: Top 61%
Dental Radiography and Imaging
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.