Please use this identifier to cite or link to this item: http://hdl.handle.net/11434/2134
Title: Estimating incidence rates of periprosthetic joint infection after hip and knee arthroplasty for osteoarthritis using linked registry and administrative health data.
Epworth Authors: de Steiger, Richard
Other Authors: Jin, Xingzhong
Luxan, Blanca
Hanly, Mark
Pratt, Nicole
Harris, Ian
Graves, Steven
Jorm, Louisa
Keywords: Arthroplasty
Australian Orthopaedic Association National Joint Replacement Registry
AOANJRR
Infection
Osteoarthritis
Arthroplasty Registries
Osteoarthritis
OA
Periprosthetic Joint Infection
Revision Arthroplasties
Total Hip Arthroplasty
Total Knee Arthroplasty
THA
TKA
OA
PJI
Musculoskeletal Clinical Institute, Epworth HealthCare, Victoria, Australia
Issue Date: Sep-2022
Publisher: British Editorial Society of Bone & Joint Surgery
Citation: Bone Joint J . 2022 Sep;104-B(9):1060-1066
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.
URI: http://hdl.handle.net/11434/2134
DOI: 10.1302/0301-620X.104B9.BJJ-2022-0116.R1
PubMed URL: https://pubmed.ncbi.nlm.nih.gov/36047015/
ISSN: 2049-4394
2049-4408
Journal Title: Bone and Joint Journal
Type: Journal Article
Affiliated Organisations: 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
Quality Use of Medicines and Pharmacy Research Centre, Clinical and Health Sciences, University of South Australia, Adelaide, Australia.
Australian Orthopaedic Association National Joint Replacement Registry, South Australian Health and Medical Research Institute, Adelaide, Australia
Ingham Institute for Applied Medical Research, South Western Sydney Clinical School, University of New South Wales, Sydney, Australia.
Type of Clinical Study or Trial: Data Linkage Study
Appears in Collections:Musculoskeletal

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