Osteoporosis and implant failure: an exploratory case-control study.

BACKGROUND

Osteoporosis has been suggested as a risk factor for implant failure, but data supporting such a link are limited.

METHODS

A case-control study was designed to evaluate the association between osteoporosis and dental implant failure. Cases (n = 49) and controls (n = 49) were selected from a private practice. The following measures were collected for each patient: 1) peripheral dual-energy x-ray absorptiometry (pDEXA) bone measurements at the distal and proximal radius and ulna; 2) classification of bone quality and quantity at the time of implant placement; and 3) questionnaire data regarding potentially confounding variables. Generalized estimating equations were used to relate the likelihood of having at least one implant failure in an individual to osteoporosis measures.

RESULTS

The results suggested that there was no association between pDEXA scores at the radius and ulna and the risk for implant failure. For every 1-unit increase in bone density as measured by pDEXA t-score at proximal and distal radius and ulna, the risk for a patient to lose at least one implant changed by +14% and -6%, respectively (odds ratio, 1.14; 95% confidence interval, 0.80-1.62 and odds ratio, 0.94; 95% confidence interval, 0.71-1.23). The simple visual assessment of local bone quality had a moderately sized relationship to implant failure. Implants placed in sites with thin cortical bone increased the chance for a patient to lose at least one implant by 130% when compared to implants placed in a thick cortical layer or compact bone (odds ratio, 2.3; 95% confidence interval, 1.0-5.4).

CONCLUSIONS

This exploratory study suggests that a simple visual assessment of bone quality at the site of implant placement may be more informative regarding implant failure than pDEXA bone density measures obtained at peripheral bones. In order to determine whether peripheral osteoporosis measurements have a small or moderate association with implant loss, studies with larger sample sizes will be required.