UK poSt Arthroplasty Follow-up rEcommendations (UK SAFE): what does analysis of linked, routinely collected national datasets tell us about mid-late term revision risk after knee replacement?

Lindsay K Smith; Cesar Garriga; Sarah R Kingsbury; Rafael Pinedo-Villanueva; Antonella Delmestri; Nigel K Arden; Martin Stone; Philip G Conaghan; Andrew Judge

doi:10.1136/bmjopen-2020-046900

UK poSt Arthroplasty Follow-up rEcommendations (UK SAFE): what does analysis of linked, routinely collected national datasets tell us about mid-late term revision risk after knee replacement?

BMJ Open. 2022 Mar 9;12(3):e046900. doi: 10.1136/bmjopen-2020-046900.

Authors

Affiliations

¹ Department of Health & Applied Sciences, University of the West of England, Bristol, UK lindsay.smith2@nhs.net.
² Nuffield Department of Orthopaedics Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK.
³ NIHR Leeds Biomedical Research Centre, Leeds, UK.
⁴ Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, UK.
⁵ Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK.
⁶ MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK.
⁷ Orthopaedic Department, Leeds Teaching Hospitals NHS Trust, Leeds, UK.
⁸ Translational Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.

Abstract

Objective: To identify patients at risk of mid-late term revision of knee replacement (KR) to inform targeted follow-up.

Design: Analysis of linked national datasets from primary and secondary care (Clinical Practice Research Datalink (CPRD GOLD), National Joint Registry (NJR), English Hospital Episode Statistics (HES) and Patient Reported Outcome Measures (PROMs)).

Participants: Primary elective KRs aged ≥18 years.

Event of interest: Revision surgery ≥5 years (mid-late term) postprimary KR.

Statistical methods: Cox regression modelling to ascertain risk factors of mid-late term revision. HRs and 95% CIs assessed association of sociodemographic factors, comorbidities, medication, surgical variables and PROMs with mid-late term revision.

Results: NJR-HES-PROMs data were available from 2008 to 2011 on 188 509 KR. CPRD GOLD-HES data covered 1995-2011 on 17 378 KR. Patients had minimum 5 years postprimary surgery to end 2016. Age and gender distribution were similar across datasets; mean age 70 years, 57% female. In NJR, there were 8607 (4.6%) revisions, median time-to-revision postprimary surgery 1.8 years (range 0-8.8), with 1055 (0.6%) mid-late term revisions; in CPRD GOLD, 877 (5.1%) revisions, median time-to-revision 4.2 years (range 0.02-18.3), with 352 (2.0%) mid-late term revisions.Reduced risk of revision after 5 years was associated with older age (HR: 0.95; 95% CI 0.95 to 0.96), obesity (0.70; 0.56 to 0.88), living in deprived areas (0.71; 0.58 to 0.87), non-white ethnicity (0.58; 0.43 to 0.78), better preoperative pain and functional limitation (0.42; 0.33 to 0.53), better 6-month postoperative pain and function (0.33; 0.26 to 0.41) or moderate anxiety/depression (0.73; 0.63 to 0.83) at primary surgery.Increased risk was associated with male gender (1.32; 1.04 to 1.67); when anticonvulsants (gabapentin and pregabalin) (1.58; 1.01 to 2.47) or opioids (1.36; 1.08 to 1.71) were required prior to primary surgery.No implant factors were identified.

Conclusion: The risk of mid-late term KR revision is very low. Increased risk of revision is associated with patient case-mix factors, and there is evidence of sociodemographic inequality.

Keywords: adult orthopaedics; knee; musculoskeletal disorders; surgery.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Adolescent
Adult
Aged
Arthroplasty, Replacement, Knee*
Female
Follow-Up Studies
Humans
Male
Registries
Reoperation
United Kingdom / epidemiology