4.4 Article

Marginal bone loss around dental implants: comparison between matched groups of bruxer and non-bruxer patients: A retrospective case-control study

Journal

CLINICAL IMPLANT DENTISTRY AND RELATED RESEARCH
Volume 25, Issue 1, Pages 124-132

Publisher

WILEY
DOI: 10.1111/cid.13161

Keywords

bruxism; dental implants; marginal bone loss; retrospective clinical study

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This study compared the marginal bone loss around dental implants in bruxers and non-bruxers. The results showed that bruxism, smoking, age, jaw location, implant diameter, and prosthesis type had a statistically significant influence on bone loss over time.
PurposeTo compare marginal bone loss (MBL) around dental implants in a group of bruxers in relation to a matched group of non-bruxers. MethodsThe present record-based retrospective study included patients selected from individuals treated with dental implants at one specialist clinic in Malmo. Only implants not lost and with baseline radiographs taken within 12 months after implant placement and with a minimum of 36 months of radiological follow-up were considered for inclusion. Univariate linear regression models and a linear mixed-effects model were performed. ResultsTwo hundred and four patients (104 bruxers, 100 non-bruxers), with a total of 811 implants (416 in bruxers, 395 in non-bruxers) were included in the study. The results of the linear mixed-effects model suggested that bruxism, smoking, age, region of the jaws, implant diameter, and prosthesis type had a statistically significant influence on MBL over time. Individuals who are both bruxers and smokers showed greater MBL when compared to individuals who are either a bruxer or smoker, or neither (p < 0.001). ConclusionsBruxism is suggested to increase the risk of MBL over time, as well as higher age, smoking, and the combination of bruxism and smoking. Other factors that showed a correlation with increased MBL were implant diameter, region of the jaws, and prosthesis type, but it is not possible to draw robust conclusions for these factors, as the categories of these variables were very unbalanced.

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