A 9-Year Prospective Case Series Using Multivariate Analyses to Identify Predictors of Early and Late Peri-Implant Bone Loss
2016 (English)In: Clinical Implant Dentistry and Related Research, ISSN 1523-0899, E-ISSN 1708-8208, Vol. 18, no 1, p. 30-39Article in journal (Refereed)
Abstract [en]
Purpose The study aims to identify predictors of early and late peri-implant bone loss following complete implant-supported rehabilitation using multivariate analyses. Materials and Methods Fifty patients (28 women, 22 men; mean age 58, range 35-76) in need of a complete implant-supported rehabilitation on five to eight implants were consecutively treated. Patients were reinvited for a clinical and radiographic examination after an average 9 years of function. Implant survival and peri-implant bone loss were considered the dependent variables. Multivariate analyses were adopted to identify predictors of early and late peri-implant bone loss Results In total, 39 patients were examinated. Two implants failed after 4 years of function, resulting in an overall survival rate of 99.2%. After a mean follow-up of 9 years, mean bone loss of 1.68mm (SD 2.08, range -1.05 to 10.95) was found. The abutment height was a significant predictor of early peri-implant bone loss (1 year) (p=.024), whereas smoking (p=.046) and history of periodontitis (p=.046) affected late peri-implant bone loss Conclusion Within the limits of this study, it can be concluded that initial bone remodeling was affected by soft tissue thickness as reflected by the height of the abutment, whereas smoking and history of periodontitis affected long-term peri-implant bone stability
Place, publisher, year, edition, pages
John Wiley & Sons, 2016. Vol. 18, no 1, p. 30-39
Keywords [en]
bone loss, clinical research, edentulous mandible, edentulous maxilla, immediate loading, prospective
National Category
Dentistry
Identifiers
URN: urn:nbn:se:mau:diva-5816DOI: 10.1111/cid.12255ISI: 000369339400005PubMedID: 24995626Scopus ID: 2-s2.0-84956802216Local ID: 22917OAI: oai:DiVA.org:mau-5816DiVA, id: diva2:1402685
2020-02-282020-02-282024-06-17Bibliographically approved