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利用关联的登记和行政健康数据估计髋和膝关节骨关节炎关节置换术后假体周围关节感染的发生率。

Estimating incidence rates of periprosthetic joint infection after hip and knee arthroplasty for osteoarthritis using linked registry and administrative health data.

机构信息

Centre for Big Data Research in Health, University of New South Wales, Sydney, Australia.

Sydney Musculoskeletal Health, Kolling Institute, The University of Sydney, Sydney, Australia.

出版信息

Bone Joint J. 2022 Sep;104-B(9):1060-1066. doi: 10.1302/0301-620X.104B9.BJJ-2022-0116.R1.

Abstract

AIMS

The aim of this study was to estimate the 90-day periprosthetic joint infection (PJI) rates following total knee arthroplasty (TKA) and total hip arthroplasty (THA) for osteoarthritis (OA).

METHODS

This was a data linkage study using the New South Wales (NSW) Admitted Patient Data Collection (APDC) and the Australian Orthopaedic Association National Joint Replacement Registry (AOANJRR), which collect data from all public and private hospitals in NSW, Australia. Patients who underwent a TKA or THA for OA between 1 January 2002 and 31 December 2017 were included. The main outcome measures were 90-day incidence rates of hospital readmission for: revision arthroplasty for PJI as recorded in the AOANJRR; conservative definition of PJI, defined by T84.5, the PJI diagnosis code in the APDC; and extended definition of PJI, defined by the presence of either T84.5, or combinations of diagnosis and procedure code groups derived from recursive binary partitioning in the APDC.

RESULTS

The mean 90-day revision rate for infection was 0.1% (0.1% to 0.2%) for TKA and 0.3% (0.1% to 0.5%) for THA. The mean 90-day PJI rates defined by T84.5 were 1.3% (1.1% to 1.7%) for TKA and 1.1% (0.8% to 1.3%) for THA. The mean 90-day PJI rates using the extended definition were 1.9% (1.5% to 2.2%) and 1.5% (1.3% to 1.7%) following TKA and THA, respectively.

CONCLUSION

When reporting the revision arthroplasty for infection, the AOANJRR substantially underestimates the rate of PJI at 90 days. Using combinations of infection codes and PJI-related surgical procedure codes in linked hospital administrative databases could be an alternative way to monitor PJI rates.Cite this article:  2022;104-B(9):1060-1066.

摘要

目的

本研究旨在评估全膝关节置换术(TKA)和全髋关节置换术(THA)治疗骨关节炎(OA)后 90 天内的假体周围关节感染(PJI)发生率。

方法

这是一项数据关联研究,使用了新南威尔士州(NSW)入院患者数据采集(APDC)和澳大利亚矫形协会全国关节置换登记处(AOANJRR),该登记处从澳大利亚 NSW 州的所有公立和私立医院收集数据。纳入 2002 年 1 月 1 日至 2017 年 12 月 31 日期间因 OA 接受 TKA 或 THA 的患者。主要结局指标为 90 天内因以下原因再次住院的发生率:AOANJRR 记录的 PJI 翻修关节置换术;APDC 中 PJI 诊断代码 T84.5 定义的 PJI 保守定义;以及 APDC 中递归二分法衍生的诊断和手术代码组的组合存在的 PJI 扩展定义。

结果

感染的 90 天修订率为 TKA 0.1%(0.1%至 0.2%)和 THA 0.3%(0.1%至 0.5%)。T84.5 定义的 90 天 PJI 发生率分别为 TKA 的 1.3%(1.1%至 1.7%)和 THA 的 1.1%(0.8%至 1.3%)。使用扩展定义的 90 天 PJI 发生率分别为 TKA 和 THA 术后 1.9%(1.5%至 2.2%)和 1.5%(1.3%至 1.7%)。

结论

在报告感染的关节翻修时,AOANJRR 大大低估了 90 天内 PJI 的发生率。在关联的医院管理数据库中使用感染代码和与 PJI 相关的手术程序代码的组合可能是监测 PJI 发生率的另一种方法。

引用

2022;104-B(9):1060-1066.

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8702/9948458/190178251c41/BJJ-104B-1060-g0001.jpg

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