Purpose: Outcome research has become an increasingly important form of clinical evidence for making health care decisions, including oral health considerations in the field of dentistry. In oral reconstruction involving dental implants, the risk of implant failure may be influenced by a patient's underlying medical condition. To identify associations, implant failure and systemic conditions or diseases were studied in a consecutive series of patients who received dental implants from October 1, 1983, to December 31, 2014, in the Department of Dental Specialties at Mayo Clinic in Rochester, Minnesota. Materials and Methods: Data were abstracted from a prospective clinical database and electronic health records for patients' demographic, implant-specific, and medical profiles to determine time to first implant failure. Survival free of implant failure at the patient level was estimated by using the Kaplan-Meier method. Associations of demographic and systemic characteristics with implant failure were evaluated by using Cox proportional hazards regression models and summarized with hazard ratios and 95% confidence intervals. Results: The patient cohort consisted of 6,358 patients with a median age of 53 years at placement of the first implant. A total of 713 patients experienced implant failure at a median of 0.6 years. Among the 5,645 patients who did not experience implant failure, the median duration of follow-up was 5.8 years. More than 20 systemic diseases or conditions were identified for assessment, of which 15 comprised more than 50 patients and five comprised more than 500 patients. All associations were adjusted for age, sex, and era of implant, given the strong influence of these features on implant failure. After adjustment, no systemic disease or condition was shown to increase the risk for implant failure in the population and setting studied. Conclusion: Patients considering oral reconstruction involving implants in the medical setting studied do not appear to risk implant loss because of systemic conditions or diseases. Keywords: association, implant failure, patient-based, systemic condition, systemic disease