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髋关节和膝关节假体关节感染行冲洗清创术和聚乙烯交换的术前预后预测。

The preoperative prediction of success following irrigation and debridement with polyethylene exchange for hip and knee prosthetic joint infections.

机构信息

Department of Orthopaedic Surgery-A41, Cleveland Clinic, 9500 Euclid Ave, Cleveland, OH 44195, USA.

出版信息

J Arthroplasty. 2012 Jun;27(6):857-64.e1-4. doi: 10.1016/j.arth.2012.01.003. Epub 2012 Mar 6.

Abstract

Although the criterion standard for the treatment of prosthetic joint infections (PJIs) is 2-stage revision with interim placement of an antibiotic-loaded spacer, irrigation and debridement with polyethylene exchange offer advantages such as fewer surgeries, reduced potential for intraoperative complications, and lower direct costs. The purpose of this study was to develop a tool to preoperatively predict the probability of successful infection eradication following irrigation and debridement with polyethylene exchange for hip or knee PJIs. A total of 10,411 surgical cases were retrospectively reviewed, and data were collected from 309 charts. Overall, 149 (48.2%) cases failed to eradicate the infection following irrigation and debridement with polyethylene exchange. Univariate analysis identified multiple variables independently associated with reinfection including duration of symptoms, preoperative inflammatory markers, and infecting organism. Logistic regression was used to generate a model (bootstrap-corrected concordance index of 0.645) to predict successful eradication of the infection, which was the basis for a nomogram. Using commonly obtained preoperative variables, the nomogram can be used to predict the probability of infection-free survival at 1, 2, 3, 4, and 5 years. Preoperative knowledge of the probability that a treatment strategy will eradicate a patient's PJI may improve risk assessment.

摘要

尽管治疗人工关节感染(PJI)的标准方法是 2 期翻修术并在中间期置入载抗生素的间隔物,但冲洗和清创术联合聚乙烯置换术具有手术次数少、术中并发症风险降低和直接成本降低等优势。本研究旨在开发一种工具,以预测髋关节或膝关节 PJI 行冲洗和清创术联合聚乙烯置换术后成功清除感染的概率。共回顾性分析了 10411 例手术病例,从 309 份图表中收集数据。总体而言,149 例(48.2%)患者在接受冲洗和清创术联合聚乙烯置换术后未能根除感染。单因素分析确定了多个与再感染独立相关的变量,包括症状持续时间、术前炎症标志物和感染病原体。逻辑回归用于生成一个模型(经 bootstrap 校正的一致性指数为 0.645),以预测感染的成功清除,这是列线图的基础。使用通常获得的术前变量,列线图可用于预测感染无生存的概率在 1、2、3、4 和 5 年。术前了解治疗策略是否能清除患者 PJI 的概率,可能有助于改善风险评估。

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