Impact of Antihyperlipidemic Therapy on Dental Implant Survival: A 10-Year Retrospective Cohort Study

Oral · Published 2026-05-09 · DOI 10.3390/oral6030054

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Abstract

<b>Background:</b> Antihyperlipidemic medications are widely prescribed for the management of dyslipidemia and prevention of cardiovascular disease and may also influence bone metabolism, formation, and repair. However, their impact on peri-implant bone remodeling and dental implant survival remains insufficiently investigated. <b>Objectives:</b> The aim of this study was to evaluate the influence of antihyperlipidemic therapy on dental implant survival and failure rates over a ten-year period. <b>Methods:</b> A retrospective cohort study included 552 patients receiving 1680 dental implants between 2012 and 2022. Patients were divided into a control group (512 patients; 1581 implants) and a study group receiving antihyperlipidemic monotherapy (40 patients; 99 implants). Clinical, radiographic, and demographic data were collected and analyzed, and implant failure was assessed according to the established clinical criteria of the International Congress of Oral Implantologists. <b>Results:</b> Kaplan–Meier analysis demonstrated significantly better dental implant survival in patients receiving antihyperlipidemic therapy (log-rank <i>p</i> = 0.046). The failure rate was lower in the study group (1.01%) compared with the control group (5.12%). Cox regression analysis, adjusted for age, sex, implant diameter and length, insertion torque, and bone quality, showed that antihyperlipidemic therapy was associated with a markedly reduced risk of implant failure (HR = 0.16). Overall, the use of antihyperlipidemic medications was associated with a significantly lower risk of implant failure (<i>p</i> < 0.05), suggesting a beneficial effect on long-term dental implant survival. <b>Conclusions:</b> The present findings indicate that antihyperlipidemic therapy may be associated with improved dental implant survival and enhanced osseointegration. These results should be interpreted as hypothesis-generating and necessitate confirmation in future prospective randomized controlled studies with expanded and more balanced cohorts.

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Year
2026

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