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Analysis of risk factors for cluster behavior of dental implant failures

Journal article
Authors B. R. Chrcanovic
J. Kisch
Tomas Albrektsson
A. Wennerberg
Published in Clinical Implant Dentistry and Related Research
Volume 19
Issue 4
Pages 632-642
ISSN 1523-0899
Publication year 2017
Published at Institute of Clinical Sciences, Department of Biomaterials
Pages 632-642
Language en
Links dx.doi.org/10.1111/cid.12485
Keywords cluster phenomenon, dental implant, implant failure, logistic models, multivariate analysis, risk, depressive symptoms, edentulous maxilla, oral implants, bruxism, metaanalysis, population, survival, smoking, health, absorption, Dentistry, Oral Surgery & Medicine
Subject categories Clinical Medicine, Dentistry

Abstract

BackgroundSome studies indicated that implant failures are commonly concentrated in few patients. PurposeTo identify and analyze cluster behavior of dental implant failures among subjects of a retrospective study. Materials and MethodsThis retrospective study included patients receiving at least three implants only. Patients presenting at least three implant failures were classified as presenting a cluster behavior. Univariate and multivariate logistic regression models and generalized estimating equations analysis evaluated the effect of explanatory variables on the cluster behavior. ResultsThere were 1406 patients with three or more implants (8337 implants, 592 failures). Sixty-seven (4.77%) patients presented cluster behavior, with 56.8% of all implant failures. The intake of antidepressants and bruxism were identified as potential negative factors exerting a statistically significant influence on a cluster behavior at the patient-level. The negative factors at the implant-level were turned implants, short implants, poor bone quality, age of the patient, the intake of medicaments to reduce the acid gastric production, smoking, and bruxism. ConclusionsA cluster pattern among patients with implant failure is highly probable. Factors of interest as predictors for implant failures could be a number of systemic and local factors, although a direct causal relationship cannot be ascertained.

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