Pabinger, C. & Geissler, A. Utilization rates of hip arthroplasty in OECD countries. Osteoarthr. Cartil. 22, 734–741 (2014).
Google Scholar
Willert, H. G., Bertram, H. & Buchhorn, G. H. Osteolysis in alloarthroplasty of the hip. The role of ultra-high molecular weight polyethylene wear particles. Clin. Orthop. Relat. Res. 95–107 (1990).
Harris, W. H. The problem is osteolysis. Clin. Orthop. Relat. Res. 46–53 (1995).
Treacy, R. B., McBryde, C. W. & Pynsent, P. B. Birmingham hip resurfacing arthroplasty. A minimum follow-up of five years. J. Bone Joint Surg. Br. 87, 167–70 (2005).
Google Scholar
Heisel, C. et al. Ten different hip resurfacing systems: biomechanical analysis of design and material properties. Int. Orthop. 33, 939–43 (2009).
Google Scholar
van Lingen, C. P. et al. Sequelae of large-head metal-on-metal hip arthroplasties: Current status and future prospects. EFORT Open Rev. 1, 345–353 (2017).
Google Scholar
Davies, A. P., Willert, H. G., Campbell, P. A., Learmonth, I. D. & Case, C. P. An unusual lymphocytic perivascular infiltration in tissues around contemporary metal-on-metal joint replacements. JBJS. 87, 18–27 (2005).
Pandit, H. et al. Pseudotumours associated with metal-on-metal hip resurfacings. J. Bone Joint Surg. Br. 90, 847–51 (2008).
Google Scholar
Natu, S. et al. Adverse reactions to metal debris: histopathological features of periprosthetic soft tissue reactions seen in association with failed metal on metal hip arthroplasties. J. Clin. Pathol. 65, 409–418 (2012).
Google Scholar
Willert, H. G. et al. Metal-on-metal bearings and hypersensitivity in patients with artificial hip joints: a clinical and histomorphological study. JBJS. 87, 28–36 (2005).
Nawabi, D. H. et al. MRI predicts ALVAL and tissue damage in metal-on-metal hip arthroplasty. Clinical orthopaedics and related research 472, 471–481 (2014).
Google Scholar
G., G. et al. Hip resurfacings revised for inflammatory pseudotumour have a poor outcome. J. Bone Joint Surg. Br. 91-B, 1019–1024 (2009).
Jameson, S. S. et al. The influence of age and sex on early clinical results after hip resurfacing: an independent center analysis. J Arthroplasty 23, 50–5 (2008).
Google Scholar
Langton, D. J. et al. Accelerating failure rate of the ASR total hip replacement. J. Bone Joint Surg. Br. 93, 1011–6 (2011).
Google Scholar
De Smet, K. et al. Metal ion measurement as a diagnostic tool to identify problems with metal-on-metal hip resurfacing. J. Bone Joint Surg. Am. 90, 202–8 (2008).
Google Scholar
Hart, A. J. et al. The painful metal-on-metal hip resurfacing. J. Bone Joint Surg. Br. 91, 738–44 (2009).
Google Scholar
Liow, M. H. et al. Metal ion levels are not correlated with histopathology of adverse local tissue reactions in taper corrosion of total hip arthroplasty. J. Arthroplasty 31, 1797–802 (2016).
Google Scholar
Langton, D. J. et al. The clinical implications of elevated blood metal ion concentrations in asymptomatic patients with MoM hip resurfacings: a cohort study. BMJ Open 3, e001541 (2013).
Google Scholar
Langton, D. et al. Is the synovial fluid cobalt-to-chromium ratio related to the serum partitioning of metal debris following metal-on-metal hip arthroplasty? Bone Joint Res. 8, 146–155 (2019).
Google Scholar
Richeldi, L., Sorrentino, R. & Saltini, C. HLA-DPB1 glutamate 69: a genetic marker of beryllium disease. Science 262, 242–4 (1993).
Google Scholar
Lison, D. et al. Experimental research into the pathogenesis of cobalt/hard metal lung disease. Eur. Respir. J. 9, 1024–8 (1996).
Google Scholar
Büdinger, L. & Hertl, M. Immunologic mechanisms in hypersensitivity reactions to metal ions: an overview. Allergy 55, 108–15 (2000).
Google Scholar
Sinigaglia, F. The molecular basis of metal recognition by T cells. J. Invest. Dermatol. 102, 398–401 (1994).
Google Scholar
Rosenman, K. D. et al. HLA class II DPB1 and DRB1 polymorphisms associated with genetic susceptibility to beryllium toxicity. Occup. Environ. Med. 68, 487–93 (2011).
Google Scholar
Griem, P. et al. T cell cross-reactivity to heavy metals: identical cryptic peptides may be presented from protein exposed to different metals. Eur. J. Immunol. 28, 1941–7 (1998).
Google Scholar
Predki, P. F. et al. Further characterization of the N-terminal copper(II)- and nickel(II)-binding motif of proteins. Studies of metal binding to chicken serum albumin and the native sequence peptide. Biochem. J. 287, 211–215 (1992).
Google Scholar
Langton, D. et al. Adverse reaction to metal debris following hip resurfacing: the influence of component type, orientation and volumetric wear. J. Bone Joint Surg. Br. Vol. 93, 164–171 (2011).
Google Scholar
Sidaginamale, R. et al. Blood metal ion testing is an effective screening tool to identify poorly performing metal-on-metal bearing surfaces. Bone Joint Res. 2, 84–95 (2013).
Google Scholar
Langton, D. J. et al. The effect of component size and orientation on the concentrations of metal ions after resurfacing arthroplasty of the hip. J. Bone Joint Surg. Br. 90, 1143–51 (2008).
Google Scholar
Langton, D. et al. Investigation of taper failure in a contemporary metal-on-metal hip arthroplasty system through examination of unused and explanted prostheses. J. Bone Joint Surg. Am. 99, 427–436 (2017).
Google Scholar
Langton, D. J. et al. A comparison study of stem taper material loss at similar and mixed metal head-neck taper junctions. Bone Joint J. 99-b, 1304–1312 (2017).
Google Scholar
Langton, D. J. et al. Aseptic lymphocyte-dominated vasculitis-associated lesions are related to changes in metal ion handling in the joint capsules of metal-on-metal hip arthroplasties. Bone Joint Res. 7, 388–396 (2018).
Google Scholar
Reito, A. et al. Prevalence of failure due to adverse reaction to metal debris in modern, medium and large diameter metal-on-metal hip replacements – the effect of novel screening methods: systematic review and metaregression analysis. PLoS One 11, e0147872 (2016).
Google Scholar
Campbell, P., Park, S. H. & Ebramzadeh, E. Semi-quantitative histology confirms that the macrophage is the predominant cell type in metal-on-metal hip tissues. J. Orthop. Res. 40, 387–395 (2022).
Dudbridge, F. Likelihood-based association analysis for nuclear families and unrelated subjects with missing genotype data. Hum. Hered. 66, 87–98 (2008).
Google Scholar
Langton, D. J. et al. The influence of HLA genotype on the severity of COVID-19 infection. HLA 98, 14–22 (2021).
Google Scholar
Jensen, K. K. et al. Improved methods for predicting peptide binding affinity to MHC class II molecules. Immunology 154, 394–406 (2018).
Google Scholar
Reynisson, B. et al. Improved prediction of MHC II antigen presentation through integration and motif deconvolution of mass spectrometry MHC eluted ligand data. J. Proteome Res. 19, 2304–2315 (2020).
Google Scholar
Goodfellow, I., Bengio, Y. & Courville, A. Deep learning. p. 108 (MIT press; 2016).
Kursa, M. B. & Rudnicki, W. R. Feature Selection with the Boruta Package. 36, 13 (2010).
Ridgeway, G. The State of Boosting 1999.
Cox, D. R. Partial likelihood. Biometrika 62, 269–276 (1975).
Cawley, G. C. & Talbot, N. L. On over-fitting in model selection and subsequent selection bias in performance evaluation. J. Mach. Learn. Res. 11, 2079–2107 (2010).
Wainer, J. & Cawley, G. Nested cross-validation when selecting classifiers is overzealous for most practical applications. Expert Syst. Appl. 182, 115222 (2021).
Jamieson, K. & Talwalkar, A. Non-stochastic best arm identification and hyperparameter optimization. in Artificial Intelligence and Statistics. 2016. PMLR.
Li, L. et al. Hyperband: A novel bandit-based approach to hyperparameter optimization. J. Mach. Learn. Res. 18, 6765–6816 (2017).
Uno, H. et al. On the C‐statistics for evaluating overall adequacy of risk prediction procedures with censored survival data. Stat. Med. 30, 1105–1117 (2011).
Google Scholar
Heagerty, P. J. & Saha, P. SurvivalROC: time-dependent ROC curve estimation from censored survival data. Biometrics 56, 337–344 (2000).
Google Scholar
Austin, P. C. & Steyerberg, E. W. The Integrated Calibration Index (ICI) and related metrics for quantifying the calibration of logistic regression models. Stat. Med. 38, 4051–4065 (2019).
Google Scholar
Peter, C. A., Frank Jr, E. H. & David, v. K. Graphical Calibration Curves and the Integrated Calibration Index (ICI) for Survival Models. Statistics in Medicine.
Bozic, K. J. et al. The epidemiology of bearing surface usage in total hip arthroplasty in the United States. J. Bone Joint Surg. Am. 91, 1614–20 (2009).
Google Scholar
12th Annual Report. National Joint Registry of England and Wales, 2015.
Kilb, B. K. J. et al. Frank Stinchfield Award: Identification of the at-risk genotype for development of pseudotumors around metal-on-metal THAs. Clin. Orthop. Relat. Res. 476, 230–241 (2018).
Google Scholar
Blowers, P. Immune system involvement in metal hip implant failure. 2015, University of East Anglia.
Yang, S., Dipane, M., Lu, C. H., Schmalzried, T. P. & McPherson, E. J. Lymphocyte transformation testing (LTT) in cases of pain following total knee arthroplasty: little relationship to histopathologic findings and revision outcomes. JBJS. 101, 257–264 (2019).
Haddad, S. F. et al. Exploring the Incidence, Implications, and Relevance of Metal Allergy to Orthopaedic Surgeons. J. Am. Acad. Orthop. Surg. Glob. Res. Rev. 3, e023 (2019).
Google Scholar
Lakusta, H. & Sarkar, B. Equilibrium studies of zinc(II) and cobalt(II) binding to tripeptide analogues of the amino terminus of human serum albumin. J. Inorg. Biochem. 11, 303–315 (1979).
Google Scholar
Mothes, E. & Faller, P. Evidence that the principal CoII-binding site in human serum albumin is not at the N-terminus: implication on the albumin cobalt binding test for detecting myocardial ischemia. Biochemistry 46, 2267–74 (2007).
Google Scholar
Bal, W. et al. Binding of transition metal ions to albumin: Sites, affinities and rates. Biochimica et Biophysica Acta (BBA) – Gen. Subj. 1830, 5444–5455 (2013).
Google Scholar
Loeschner, K. et al. Feasibility of asymmetric flow field-flow fractionation coupled to ICP-MS for the characterization of wear metal particles and metalloproteins in biofluids from hip replacement patients. Anal. Bioanal. Chem. 407, 4541–4554 (2015).
Google Scholar
Caicedo, M. S. et al. Increasing both CoCrMo-alloy particle size and surface irregularity induces increased macrophage inflammasome activation in vitro potentially through lysosomal destabilization mechanisms. J. Orthop. Res. 31, 1633–42 (2013).
Google Scholar
Yazdi, A. S., Ghoreschi, K. & Röcken, M. Inflammasome activation in delayed-type hypersensitivity reactions. J. Investig. Dermatol. 127, 1853–1855 (2007).
Google Scholar
McKee, A. S. et al. MyD88 dependence of beryllium-induced dendritic cell trafficking and CD4+ T-cell priming. Mucosal. Immunol. 8, 1237–47 (2015).
Google Scholar
Perino, G. et al. The contribution of the histopathological examination to the diagnosis of adverse local tissue reactions in arthroplasty. EFORT Open Rev. 6, 399–419 (2021).
Google Scholar
Peters, T. 6 – Clinical Aspects: Albumin in Medicine, in All About Albumin, T. Peters, Editor. 1995, Academic Press: San Diego. p. 251–284.
Chaudhury, C. et al. The major histocompatibility complex–related Fc receptor for IgG (FcRn) binds albumin and prolongs its lifespan. J. Exp. Med. 197, 315–322 (2003).
Google Scholar
Yang, J. et al. Mass spectrometric characterization of limited proteolysis activity in human plasma samples under mild acidic conditions. Methods 89, 30–7 (2015).
Google Scholar
Langton, D. et al. Accelerating failure rate of the ASR total hip replacement. J. Bone Joint Surg. Br. Vol. 93, 1011–1016 (2011).
Google Scholar
Gavin, I. M. et al. Identification of human cell responses to hexavalent chromium. Environ. Mol. Mutagen. 48, 650–7 (2007).
Google Scholar
Innocenti, M. et al. Metal hypersensitivity after knee arthroplasty: fact or fiction? Acta Bio-medica: Atenei Parmensis. 88, 78–83 (2017).
Google Scholar
Saccomanno, M. F. et al. Allergy in total knee replacement surgery: Is it a real problem? World J. Orthop. 10, 63–70 (2019).
Google Scholar
Kretzer, J. P. et al. Wear in total knee arthroplasty-just a question of polyethylene?: Metal ion release in total knee arthroplasty. Int. Orthop. 38, 335–40 (2014).
Google Scholar
Arnholt, C. M. et al. Corrosion damage and wear mechanisms in long-term retrieved CoCr femoral components for total knee arthroplasty. J. Arthroplasty 31, 2900–2906 (2016).
Google Scholar
Reiner, T. et al. Blood metal ion release after primary total knee arthroplasty: a prospective study. Orthop. Surg. 12, 396–403 (2020).
Google Scholar
Luetzner, J. et al. Serum metal ion exposure after total knee arthroplasty. Clin. Orthop. Relat. Res. 461, 136–42 (2007).
Google Scholar
Savarino, L. et al. The potential role of metal ion release as a marker of loosening in patients with total knee replacement: a cohort study. J. Bone Joint Surg. Br. 92, 634–8 (2010).
Google Scholar
Kurmis, A. P. et al. Pseudotumors and high-grade aseptic lymphocyte-dominated vasculitis-associated lesions around total knee replacements identified at aseptic revision surgery: findings of a large-scale histologic review. J. Arthroplasty 34, 2434–2438 (2019).
Google Scholar
Crawford, D. A. et al. Impact of perivascular lymphocytic infiltration in aseptic total knee revision. Bone Joint J. 103-b, 145–149 (2021).
Google Scholar
Wylde, V. et al. Chronic pain after total knee arthroplasty. EFORT Open Rev. 3, 461–470 (2018).
Google Scholar
Sidaginamale, R. P. et al. Blood metal ion testing is an effective screening tool to identify poorly performing metal-on-metal bearing surfaces. Bone Joint Res. 2, 84–95 (2013).
Google Scholar
Wysocki, T., Olesińska, M. & Paradowska-Gorycka, A. Current understanding of an emerging role of HLA-DRB1 gene in rheumatoid arthritis-from research to clinical practice. Cells 9, 2020.
Sollid, L. M. The roles of MHC class II genes and post-translational modification in celiac disease. Immunogenetics 69, 605–616 (2017).
Google Scholar