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梅奥人工关节感染风险评分:对手术部位感染报告和风险分层的影响。

The Mayo prosthetic joint infection risk score: implication for surgical site infection reporting and risk stratification.

机构信息

Department of Medicine, Division of Infectious Diseases, Section of Orthopedic Infections, Mayo Clinic, Rochester, Minnesota 55905, USA.

出版信息

Infect Control Hosp Epidemiol. 2012 Aug;33(8):774-81. doi: 10.1086/666641. Epub 2012 Jun 20.

Abstract

OBJECTIVE

The goal of this study was to develop a prognostic scoring system for the development of prosthetic joint infection (PJI) that could risk-stratify patients undergoing total hip (THA) or total knee (TKA) arthroplasties.

DESIGN

Previously reported case-control study.

SETTING

Tertiary referral care setting from 2001 through 2006.

METHODS

A derivation data set of 339 cases and 339 controls was used to develop 2 scores. A baseline score and a 1-month-postsurgery risk score were computed as a function of the relative contributions of risk factors for each model. Points were assigned for the presence of each factor and then summed to get a subject's risk score.

RESULTS

The following risk factors were detected from multivariable modeling and incorporated into the baseline Mayo PJI risk score: body mass index, prior other operation on the index joint, prior arthroplasty, immunosuppression, ASA score, and procedure duration (c index, 0.722). The 1-month-postsurgery risk score contained the same variables in addition to postoperative wound drainage (c index, 0.716).

CONCLUSION

The baseline score might help with risk stratification in relation to public reporting and reimbursement as well as targeted prevention strategies in patients undergoing THA or TKA. The application of the 1-month-postsurgery PJI risk score to patients undergoing THA or TKA might benefit those undergoing workup for PJI.

摘要

目的

本研究旨在开发一种用于预测人工关节置换术后感染(PJI)的预后评分系统,以便对接受全髋关节置换术(THA)或全膝关节置换术(TKA)的患者进行风险分层。

设计

回顾性病例对照研究。

地点

2001 年至 2006 年,三级转诊护理机构。

方法

使用 339 例病例和 339 例对照的原始数据集,开发了 2 种评分系统。计算了基线评分和术后 1 个月的风险评分,其为每个模型的危险因素相对贡献的函数。为每个因素的存在分配分数,然后将它们相加得到受试者的风险评分。

结果

多变量建模发现以下危险因素,并纳入了基线 Mayo PJI 风险评分:体重指数、同一关节的既往其他手术、既往关节置换术、免疫抑制、ASA 评分和手术时间(C 指数,0.722)。术后伤口引流增加了术后 1 个月的风险评分(C 指数,0.716),该评分包含了相同的变量。

结论

基线评分可能有助于 THA 或 TKA 患者的风险分层,以便进行公共报告和报销,以及针对特定患者的预防策略。将术后 1 个月的 PJI 风险评分应用于接受 THA 或 TKA 的患者,可能有助于那些正在接受 PJI 检查的患者。

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