Linghu Dake, Zhang Danna, Liu Min
Oral Implantology Department, Linyi Guoqiang Stomatological Hospital, Yuncheng, China.
Department of Orthognathic Surgery and Maxillofacial Trauma, The Third Affiliated Hospital of Air Force Medical University, Xi'an, China.
Biomol Biomed. 2025 May 8;25(7):1581-1590. doi: 10.17305/bb.2024.11668.
Implant failure remains a significant challenge in oral implantology, necessitating a deeper understanding of its risk factors to improve treatment outcomes. This study aimed to enhance the clinical outcomes of oral implant restoration by investigating the factors contributing to implant failure in patients with partial dentition defects within two years of treatment. Additionally, the study sought to develop an early risk prediction model for implant failure. A retrospective analysis was conducted on 300 patients with partial dentition defects, dividing them into two groups: a failed implant group and a successful implant group, based on the occurrence of implant failure within two years. General clinical data and condition-specific clinical information were compared between the groups. Multivariate binary logistic regression analysis was used to identify influencing factors, while the predictive effectiveness of the model was assessed using a receiver operating characteristic (ROC) curve. The analysis revealed that factors, such as gender, post-implant smoking, oral hygiene status at the second-year follow-up, tooth position, number of implants, timing of loading, width of keratinized mucosa, and bone quantity significantly influenced the likelihood of implant failure (P < 0.05). Among these, post-implant smoking and tooth position were identified as independent risk factors. The area under the curve (AUC) for tooth position was 0.695, indicating low predictive performance. Although tooth position was determined to be an independent risk factor for implant failure within two years, its predictive performance was limited.
种植体失败仍然是口腔种植学中的一个重大挑战，需要更深入地了解其风险因素以改善治疗效果。本研究旨在通过调查在治疗两年内导致部分牙列缺损患者种植体失败的因素，提高口腔种植修复的临床效果。此外，该研究还试图建立一个种植体失败的早期风险预测模型。对300例部分牙列缺损患者进行回顾性分析，根据两年内种植体是否失败将其分为两组：种植体失败组和种植体成功组。比较两组患者的一般临床资料和特定病情的临床信息。采用多因素二元logistic回归分析确定影响因素，同时使用受试者工作特征（ROC）曲线评估模型的预测效能。分析结果显示，性别、种植后吸烟、第二年随访时的口腔卫生状况、牙位、种植体数量、加载时机、角化黏膜宽度和骨量等因素对种植体失败的可能性有显著影响（P<0.05）。其中，种植后吸烟和牙位被确定为独立危险因素。牙位的曲线下面积（AUC）为0.695，表明预测性能较低。虽然牙位被确定为两年内种植体失败的独立危险因素，但其预测性能有限。
