Literature DB >> 21545531

The effect of smoking on survival and bone loss of implants with a fluoride-modified surface: a 2-year retrospective analysis of 1106 implants placed in daily practice.

Stijn Vervaeke1, Bruno Collaert1, Stefan Vandeweghe1, Jan Cosyn1, Ellen Deschepper1, Hugo De Bruyn1.   

Abstract

AIM: To compare the survival and peri-implant bone loss of implants with a fluoride-modified surface in smokers and nonsmokers.
MATERIALS AND METHODS: Patient files of all patients referred for implant treatment from November 2004 to 2007 were scrutinized. All implants were placed by the same experienced surgeon (B. C.). The only inclusion criterion was a follow-up time of at least 2 years. Implant survival and bone loss were assessed by an external calibrated examiner (S. V.) comparing digital peri-apical radiographs taken during recall visits with the post-operative ones. Implant success was determined according to the international success criteria (Albrektsson et al. 1986). Survival of implants installed in smokers and nonsmokers was compared using the log-rank test. Both nonparametric tests and fixed model analysis were adopted to evaluate bone loss in smokers and nonsmokers.
RESULTS: One-thousand one-hundred and six implants in 300 patients (186 females; 114 males) with a mean follow-up of 31 months (SD 7.15; range 24-58) were included. Nineteen implants in 17 patients failed, resulting in an overall survival rate of 98.3% at the implant level and 94.6% at the patient level. After a follow-up period of 2 years, the cumulative survival rates was 96.7% and 99.1% with the patient and implant as the statistical unit, respectively. Implant survival was significantly higher for nonsmokers compared with smokers (implant level P=0.025; patient level P=0.017). The overall mean bone loss was 0.34 mm (n=1076; SD 0.65; range 0-7.1). Smokers lost significantly more bone compared with nonsmokers in the maxilla (0.74 mm; SD 1.07 vs. 0.33 mm; SD 0.65; P<0.001), but not in the mandible (0.25 mm; SD 0.65 vs. 0.22 mm; SD 0.5; P=0.298).
CONCLUSION: The present study is the first to compare peri-implant bone loss in smokers and nonsmokers from the time of implant insertion (baseline) to at least 2 years of follow-up. Implants with a fluoride-modified surface demonstrated a high survival rate and limited bone loss. However, smokers are at a higher risk of experiencing implant failure and more prone to show peri-implant bone loss in the maxilla. Whether this bone loss is predicting future biological complications remains to be evaluated.
© 2011 John Wiley & Sons A/S.

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Year:  2011        PMID: 21545531     DOI: 10.1111/j.1600-0501.2011.02201.x

Source DB:  PubMed          Journal:  Clin Oral Implants Res        ISSN: 0905-7161            Impact factor:   5.977


  5 in total

1.  The Effect of Tobacco Smoking on Musculoskeletal Health: A Systematic Review.

Authors:  Ahmad M Al-Bashaireh; Linda G Haddad; Michael Weaver; Debra Lynch Kelly; Xing Chengguo; Saunjoo Yoon
Journal:  J Environ Public Health       Date:  2018-07-11

2.  Knowledge About the Relation Between Tobacco and Disease and the Attitude Toward Advising the Cessation of Its Consumption Among a Group of Spanish Dental Students.

Authors:  Alejandro Ismael Lorenzo-Pouso; Mario Pérez-Sayáns; Daniel Pérez-López; Eva María Otero-Rey; Abel García-García; Andrés Blanco-Carrión
Journal:  J Cancer Educ       Date:  2019-02       Impact factor: 2.037

3.  Tardive Dyskinesia, Oral Parafunction, and Implant-Supported Rehabilitation.

Authors:  S Lumetti; G Ghiacci; G M Macaluso; M Amore; C Galli; E Calciolari; E Manfredi
Journal:  Case Rep Dent       Date:  2016-12-06

4.  The Long-Term Effect of Smoking on 10 Years' Survival and Success of Dental Implants: A Prospective Analysis of 453 Implants in a Non-University Setting.

Authors:  Simon Windael; Stijn Vervaeke; Stefanie De Buyser; Hugo De Bruyn; Bruno Collaert
Journal:  J Clin Med       Date:  2020-04-08       Impact factor: 4.241

5.  Smoking, radiotherapy, diabetes and osteoporosis as risk factors for dental implant failure: a meta-analysis.

Authors:  Hui Chen; Nizhou Liu; Xinchen Xu; Xinhua Qu; Eryi Lu
Journal:  PLoS One       Date:  2013-08-05       Impact factor: 3.240

  5 in total

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