Georgios S Chatzopoulos1, Larry F Wolff1. 1. Department of Developmental and Surgical Sciences, Division of Periodontology, School of Dentistry, University of Minnesota , Minneapolis, MN, USA.
Abstract
OBJECTIVE: To investigate the association between symptoms of temporomandibular disorder and self-reported bruxism with the risk of implant failure. METHODS: This retrospective study is based on 2127 records of patients who had 4519 implants placed and restored at the University of Minnesota School of Dentistry. Patient and implant level information were retrieved from each dental record: age, gender, implant location, as well as history of clicking, pain, difficulty opening, difficulty chewing, and clenching or grinding. RESULTS: A total of 51 implant failures were identified in the sample. This corresponded to a failure rate of 1.1% at the implant level and 1.7% at the patient level. Among all the patient and implant level variables, the binary logistic regression showed that none of them were significantly associated with implant failure (p > 0.05). DISCUSSION: The identification of risk indicators for implant loss can foster long-term implant survival, peri-implant health, and ultimately, implant prosthesis survival.
OBJECTIVE: To investigate the association between symptoms of temporomandibular disorder and self-reported bruxism with the risk of implant failure. METHODS: This retrospective study is based on 2127 records of patients who had 4519 implants placed and restored at the University of Minnesota School of Dentistry. Patient and implant level information were retrieved from each dental record: age, gender, implant location, as well as history of clicking, pain, difficulty opening, difficulty chewing, and clenching or grinding. RESULTS: A total of 51 implant failures were identified in the sample. This corresponded to a failure rate of 1.1% at the implant level and 1.7% at the patient level. Among all the patient and implant level variables, the binary logistic regression showed that none of them were significantly associated with implant failure (p > 0.05). DISCUSSION: The identification of risk indicators for implant loss can foster long-term implant survival, peri-implant health, and ultimately, implant prosthesis survival.