Literature DB >> 28966189

Incidence and Determinants of Dental Implant Failure: A Review of Electronic Health Records in a U.S. Dental School.

Matthew Parker Hickin1, Jaffer A Shariff1, Philip J Jennette1, Joseph Finkelstein1, Panos N Papapanou2.   

Abstract

The aim of this study was to use electronic health care records (EHRs) to examine retrospectively the incidence of and attributes associated with dental implant failures necessitating implant removal in a large cohort of patients treated in the student clinics of a U.S. dental school over three and a half years. EHRs were searched for all patients who received dental implants between July 1, 2011, and December 31, 2014. Characteristics of patients and implants that were actively removed due to irrevocable failure of any etiology ("failure cohort") during this period were compared to those of all other patients who received dental implants during the same time frame ("reference cohort"). Differences in the frequency distribution of various characteristics between the failure and reference cohorts were compared. Of a total 6,129 implants placed in 2,127 patients during the study period, 179 implants (2.9%) in 120 patients (5.6%) were removed. In the multivariate analysis, presence of a removable (OR=2.86) or fixed temporary prosthesis (OR=3.71) was statistically significantly associated with increased risk for implant failure. In contrast, antibiotic coverage (pre- and post-surgery OR=0.16; post-surgery only OR=0.38) and implants of certain manufacturers were associated with lower risk of implant failure. In this sizeable cohort of patients receiving care in dental student clinics, the review of EHRs facilitated identification of multiple variables associated with implant failure resulting in removal; however, these findings do not suggest causative relationships. The adopted analytical approach can enhance quality assurance measures and may contribute to the identification of true risk factors for dental implant failure.

Entities:  

Keywords:  dental clinics; dental education; dental implants; electronic health record; implant failure; osseointegration

Mesh:

Substances:

Year:  2017        PMID: 28966189     DOI: 10.21815/JDE.017.080

Source DB:  PubMed          Journal:  J Dent Educ        ISSN: 0022-0337            Impact factor:   2.264


  6 in total

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Journal:  J Korean Assoc Oral Maxillofac Surg       Date:  2020-06-30

Review 2.  The relationship between single nucleotide polymorphisms and dental implant loss: a scoping review.

Authors:  Frederick Zhang; Joseph Finkelstein
Journal:  Clin Cosmet Investig Dent       Date:  2019-05-31

3.  Positioning errors of dental implants and their associations with adjacent structures and anatomical variations: A CBCT-based study.

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Journal:  Imaging Sci Dent       Date:  2020-12-15

Review 4.  Reconstruction of Craniomaxillofacial Bone Defects Using Tissue-Engineering Strategies with Injectable and Non-Injectable Scaffolds.

Authors:  Bipin Gaihre; Suren Uswatta; Ambalangodage C Jayasuriya
Journal:  J Funct Biomater       Date:  2017-11-20

5.  How old is old for implant therapy in terms of early implant losses?

Authors:  Kristina Bertl; Maria Ebner; Marianne Knibbe; Nikolaos Pandis; Ulrike Kuchler; Christian Ulm; Andreas Stavropoulos
Journal:  J Clin Periodontol       Date:  2019-11-08       Impact factor: 8.728

Review 6.  Using big data to promote precision oral health in the context of a learning healthcare system.

Authors:  Joseph Finkelstein; Frederick Zhang; Seth A Levitin; David Cappelli
Journal:  J Public Health Dent       Date:  2020-01-06       Impact factor: 1.821

  6 in total

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