Retrospective analysis of 50,333 implants on implant failure and associated patient-related factors

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2 Scopus citations

Abstract

Purpose: The aim of this investigation was to retrospectively evaluate the long-term implant loss rates and to identify associations between implant failure and patient-related factors in a sample of patients who had consecutively received implant therapy in ten dental universities in the United States using a large database. Methods: Dental records of adult patients who had attended the dental clinics of the universities contributing data to the BigMouth network between 2011 and 2022 seeking dental therapy were evaluated. Information regarding patients’ characteristics including age, gender, ethnicity, race, tobacco use and systemic medical conditions were extracted from patients’ files. Results: A total of 20,842 patients who received 50,333 dental implants over a 12-year period (2011–2022) were included. The mean age of the cohort was 57.50±14.27 years which consisted of 51.8% females, 91.1% non-Hispanic, 66.3% white individuals and 8% tobacco users. In the univariate analysis, ethnicity, race and marijuana use were significantly associated with implant treatment outcome. Race and ethnicity were significantly associated with implant loss in the multivariate analysis. The implant failure rate was estimated to be 2.7% at the patient level and 1.4% at the implant level. Conclusion: Within the limitations of this retrospective study that utilized records of 50,333 dental implants placed in ten institutions contributing data to the BigMouth network, the implant failure rate was estimated to be 2.7% at patient level and 1.4% at implant level.

Original languageEnglish (US)
Article number101555
JournalJournal of Stomatology, Oral and Maxillofacial Surgery
Volume124
Issue number6
DOIs
StatePublished - Dec 2023

Bibliographical note

Publisher Copyright:
© 2023 Elsevier Masson SAS

Keywords

  • Dental implant
  • Multivariate analysis
  • Osseointegration
  • Risk factors
  • Survival rate
  • Treatment outcome

PubMed: MeSH publication types

  • Journal Article

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