ObjectiveThis university‐based retrospective study aimed to assess the performance of the implant disease risk assessment (IDRA) in predicting peri‐implantitis.Material and MethodsPatients with implants loaded for at least 1 year were included. Peri‐implantitis development was the outcome, while the IDRA score and its eight vectors were the predictors. The IDRA score was calculated using an online tool. Data were analyzed using Cox proportional hazards models and ROC curve (AUC).ResultsAmong 480 implants in 235 patients, 7.9% of implants and 9.4% of patients developed peri‐implantitis. Implants at high risk for the “number of sites with PD ≥ 5 mm” vector had an increased risk (HR = 9.8, p = 0.004) of peri‐implantitis, compared to those at low risk for this parameter. Implants at moderate (HR = 4.8, p = 0.04) and high (HR = 10.0, p = 0.01) risk for the “distance from the restorative margin (RM) to bone crest (BC)” vector exhibited a higher risk of peri‐implantitis than implants at low risk for this parameter. The IDRA tool demonstrated an AUC of 0.66 (sensitivity = 0.80; specificity = 0.24) when estimated at implant level and an AUC of 0.61 (sensitivity = 0.91; specificity = 0.32) when calculated at patient level. The mixed‐effects Cox model did not reveal a significant association between the overall IDRA score and the development of peri‐implantitis (HR = 7.2, p = 0.18).ConclusionIDRA demonstrates good sensitivity but low specificity and suboptimal discriminatory capacity in predicting peri‐implantitis. The “number of sites with PD ≥ 5 mm” and “distance from RM to BC” emerged as the most effective predictors for peri‐implantitis.

中文翻译：

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种植体疾病风险评估在预测种植体周围炎中的表现：一项回顾性研究


目的这项基于大学的回顾性研究旨在评估种植体疾病风险评估 （IDRA） 在预测种植体周围炎方面的性能。材料和方法纳入植入物负重至少 1 年的患者。种植体周围炎的发展是结果，而 IDRA 评分及其 8 个向量是预测因子。IDRA 分数是使用在线工具计算的。使用 Cox 比例风险模型和 ROC 曲线 （AUC） 分析数据。结果在 235 例患者的 480 例种植体中，7.9% 的种植体和 9.4% 的患者发生种植体周围炎。与该参数的低风险相比，“PD ≥ 5 mm 的部位数”载体高风险的种植体患种植体周围炎的风险增加 （HR = 9.8，p = 0.004）。“从修复边缘 （RM） 到骨嵴 （BC） 的距离” 向量处于中度 （HR = 4.8，p = 0.04） 和高 （HR = 10.0，p = 0.01） 风险的种植体表现出比该参数低风险的种植体表现出更高的种植体周围炎风险。IDRA 工具在种植体水平估计时显示 AUC 为 0.66 （敏感性 = 0.80;特异性 = 0.24），在患者水平计算时 AUC 为 0.61 （敏感性 = 0.91;特异性 = 0.32）。混合效应 Cox 模型未揭示总体 IDRA 评分与种植体周围炎发展之间的显着关联 （HR = 7.2，p = 0.18）。结论IDRA 在预测种植体周围炎方面表现出良好的敏感性，但特异性低且鉴别能力欠佳。“PD ≥ 5 mm 的部位数”和“从 RM 到 BC 的距离”成为种植体周围炎最有效的预测指标。