全国全膝关节置换术患者和单室膝关节置换术患者手术季节性分层假体周围关节感染率的修订:一项基于登记的分析。

IF 1.8 Q3 INFECTIOUS DISEASES Journal of Bone and Joint Infection Pub Date : 2021-03-05 eCollection Date: 2021-01-01 DOI:10.5194/jbji-6-111-2021
Julius Tetens Hald, Anne Brun Hesselvig, Andreas Kryger Jensen, Anders Odgaard
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引用次数: 2

摘要

目的:本研究的目的是调查假体周围关节感染(PJI)的翻修率是否取决于主要手术的季节,使用全国膝关节置换术(KA)患者。一些外科手术的季节变化已被观察到会影响随后的感染风险,夏季手术的翻修风险更高,但基于全国关节置换术登记的PJI率分析尚未完成。我们假设,在全国人群中,如果在夏季进行原发性手术,PJI翻修的风险会增加。方法:采用丹麦膝关节置换术登记处(DKR)来确定原发性手术后2年内因PJI进行翻修的风险。确定了1997年1月1日至2014年12月31日期间的所有主要KA程序以及2016年12月31日之前的修订。使用平滑样条回归来确定主要程序对修订风险可能的季节模式影响,并使用逻辑回归来计算季节之间感染风险的差异。结果:研究期间共登记124例 809例初级手术。在排除重复并将主要手术与主要手术后2年内的第一次修订相匹配后,确定了3391例。其中,348例记录有深部感染需要翻修的指征。样条回归分析没有显示出任何明确的季节性模式,关于感染或任何其他原因的翻修风险。Logistic回归发现,1997年至2005年夏季进行首次手术时,感染翻修风险降低,2005年至2012年对感染翻修风险没有影响,2013年至2014年夏季手术后感染翻修风险增加。结论:不可能证明原发性KA后PJI修正风险的一致季节性变化。这很可能是因为PJI的潜在病因不受季节变化的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Revision for periprosthetic joint infection rate stratified by seasonality of operation in a national population of total and unicompartmental knee arthroplasty patients: a register-based analysis.

Aim: The aim of this study was to investigate whether the revision rate for periprosthetic joint infection (PJI) depends on the season of the primary procedure using a national population of knee arthroplasty (KA) patients. Seasonal variation of some surgical procedures has been observed to impact subsequent infection risks, with a higher risk of revision for surgeries performed during summer, but an analysis of PJI rates based on a national arthroplasty register has yet to be completed. We hypothesized that an increased risk of revision due to PJI could be demonstrated in a national population when primary surgery was performed during the summer. Methods: The Danish Knee Arthroplasty Registry (DKR) was used to determine the risk of revision due to PJI within 2 years after primary surgery. All primary KA procedures between 1 January 1997 and 31 December 2014 and revisions until 31 December 2016 were identified. Smoothing spline regression was used to identify possible seasonal pattern effects of the primary procedure on revision risk, and logistic regression was used to calculate risk of infection differences between seasons. Results: A total number of 124 809 primary procedures was registered in the study period. After excluding duplicates and matching primary procedures with the first revisions within 2 years after the primary procedure, 3391 were identified. Of these, 348 cases were recorded with an indication of deep infection requiring revision. Spline regression analyses did not demonstrate any clear seasonal pattern of the primary procedure regarding the risk of revision for infection or any other cause. Logistic regression found a decreased risk of revision for infection when the primary procedure was performed during the summer in the years 1997 to 2005, no influence on the risk of revision for infection in 2005 to 2012, and an increased risk of revision for infection following summer procedures during the years 2013 to 2014. Conclusion: It was not possible to demonstrate a consistent seasonal variation of the risk of revision for PJI following primary KA. This is most likely because the underlying etiologies for PJI are not subject to seasonal variation.

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CiteScore
3.70
自引率
0.00%
发文量
29
审稿时长
12 weeks
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