Estimating incidence rates of periprosthetic joint infection after hip and knee arthroplasty for osteoarthritis using linked registry and administrative health data.
| Autor: | Jin X; 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., Gallego Luxan B; Centre for Big Data Research in Health, University of New South Wales, Sydney, Australia., Hanly M; Centre for Big Data Research in Health, University of New South Wales, Sydney, Australia., Pratt NL; Quality Use of Medicines and Pharmacy Research Centre, Clinical and Health Sciences, University of South Australia, Adelaide, Australia., Harris I; 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., de Steiger R; Australian Orthopaedic Association National Joint Replacement Registry, South Australian Health and Medical Research Institute, Adelaide, Australia.; Department of Surgery, Epworth HealthCare, University of Melbourne, Melbourne, Australia., Graves SE; 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., Jorm L; Centre for Big Data Research in Health, University of New South Wales, Sydney, Australia. |
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| Jazyk: | angličtina |
| Zdroj: | The bone & joint journal [Bone Joint J] 2022 Sep; Vol. 104-B (9), pp. 1060-1066. |
| DOI: | 10.1302/0301-620X.104B9.BJJ-2022-0116.R1 |
| Abstrakt: | 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: Bone Joint J 2022;104-B(9):1060-1066. |
| Databáze: | MEDLINE |
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