Logistic regression analysis of risk factors for the development of alveolar osteitis

Diego Halab, José Escobar, Carlos Muoz, Sergio Uribe

Research output: Contribution to journalArticlepeer-review

24 Citations (Scopus)

Abstract

Purpose: To assess risk factors for alveolar osteitis. Materials and Methods: A prospective nested case-control study was conducted in an urban community dental clinic in Valdivia, Chile. A cohort of 1,355 patients who underwent dental extractions was included. Eight predictor variables (risk factors), namely patient gender, hygiene, tooth location, previous surgical site infection, traumatic extraction, systemic diseases, alcohol consumption, and tobacco use, were considered in a risk factor model. A binary regression logistic analysis was performed to determine significant associations. Results: In total 1,302 participants completed the follow-up. Eighty incident case patients with alveolar osteitis and 80 matched control patients were included. A statistically significant association was found between traumatic extraction (odds ratio [OR], 13.1; 95% confidence interval [CI], 5.4 to 31.7), tobacco smoking after extraction (OR, 3.5; 95% CI, 1.3 to 9.0), previous surgical site infection (OR, 3.3; 95% CI, 1.4 to 7.7), and the development of alveolar osteitis. Conclusions: Previous surgical site infection, traumatic extraction, and tobacco smoking are associated with an increased risk of alveolar osteitis.

Original languageEnglish
Pages (from-to)1040-1044
Number of pages5
JournalJournal of Oral and Maxillofacial Surgery
Volume70
Issue number5
DOIs
Publication statusPublished - May 2012
Externally publishedYes

Field of Science

  • 3.2 Clinical medicine

Publication Type

  • 1.1. Scientific article indexed in Web of Science and/or Scopus database

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