37 results on '"Betteridge, Zoe E."'
Search Results
2. The EuroMyositis registry: an international collaborative tool to facilitate myositis research
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Lilleker, James B, Vencovsky, Jiri, Wang, Guochun, Wedderburn, Lucy R, Diederichsen, Louise Pyndt, Schmidt, Jens, Oakley, Paula, Benveniste, Olivier, Danieli, Maria Giovanna, Danko, Katalin, Thuy, Nguyen Thi Phuong, Vazquez-Del Mercado, Monica, Andersson, Helena, De Paepe, Boel, deBleecker, Jan L, Maurer, Britta, McCann, Liza J, Pipitone, Nicolo, McHugh, Neil, Betteridge, Zoe E, New, Paul, Cooper, Robert G, Ollier, William E, Lamb, Janine A, Krogh, Niels Steen, Lundberg, Ingrid E, Chinoy, Hector, D’hose, Sophie, Tian, Xin Lu,xiaolan, Mann, Herman, Kryštufková, Olga, Pleštilová, Lenka, Barochová,katerina kubínová, Martin Klein,tereza, Gelardi, Chiara, Pedini, Veronica, Cardinaletti, Paolo, Jara, Luis J, Saavedra, Miguel A, Cruz-reyes, Claudia V, Vera-lastra, Olga, Andrade-ortega, Lilia, Medrano-ramírez, Gabriel, Satoh, Minoru, Salazar-páramo, Mario, Gomez-bañuelos, Eduardo, Aguilar-arreola, Jorge, Durán-barragán, Sergio, Navarro-hernandez, Rosa Elena, Petri, Marcelo H, Molberg, Øyvind, Dastmalchi, Maryam, Notarnicola, Antonella, Gheorghe, Karina, Rönnelid, Johan, Liden, Maria, Hanna, Balsam, Jalal, Awat, Hellström, Helena, Martineus, Jehns Christian, Ngoc lan, Nguyen Thi, Padyukov, Leonid, New, Paul, Platt, Hazel, Rothwell, Simon, Ahmed, Yasmeen, Armstrong, Raymond, Bernstein, Robert, Black, Carol, Bowman, Simon, Bruce, Ian, Butler, Robin, Carty, John, Chattopadhyay, Chandra, Chelliah, Easwaradhas, Clarke, Fiona, Dawes, Peter, Denton, Christopher, Devlin, Joseph, Edwards, Christopher, Emery, Paul, Fordham, John, Fraser, Alexander, Gaston, Hill, Gordon, Patrick, Griffiths, Bridget, Gunawardena, Harsha, Hall, Frances, Hanna, Michael, Harrison, Beverley, Hay, Elaine, Hilton-jones, David, Horden, Lesley, Isaacs, John, Isenberg, David, Jones, Adrian, Kamath, Sanjeet, Kennedy, Thomas, Kitas, George, Klimiuk, Peter, Knights, Sally, Lambert, John, Lanyon, Peter, Laxminarayan, Ramasharan, Lecky, Bryan, Luqmani, Raashid, Machado, Pedro, Marks, Jeffrey, Martin, Michael, Mcgonagle, Dennis, Mchugh, Neil, Mckenna, Francis, Mclaren, John, Mcmahon, Michael, Mcrorie, Euan, Merry, Peter, Miles, Sarah, Miller, James, Nicholls, Anne, Nixon, Jennifer, Ong, Voon, Over, Katherine, Packham, John, Pipitone, Nicolo, Plant, Michael, Pountain, Gillian, Pullar, Thomas, Roberts, Mark, Sanders, Paul, Scott, David, Scott, David, Shadforth, Michael, Sheeran, Thomas, Srinivasan, Arul, Swinson, David, Teh, Lee-suan, Webley, Michael, Williams, Brian, and Winer, Jonathan
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- 2018
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3. Investigation of myositis and scleroderma specific autoantibodies in patients with lung cancer
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Betteridge, Zoe E., Priest, Lynsey, Cooper, Robert G., McHugh, Neil J., Blackhall, Fiona, and Lamb, Janine A.
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- 2018
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4. Calcinosis in juvenile dermatomyositis is influenced by both anti-NXP2 autoantibody status and age at disease onset
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Tansley, Sarah L., Betteridge, Zoe E., Shaddick, Gavin, Gunawardena, Harsha, Arnold, Katie, Wedderburn, Lucy R., and McHugh, Neil J.
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- 2014
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5. The performance of the European League Against Rheumatism/American College of Rheumatology idiopathic inflammatory myopathies classification criteria in an expert-defined 10 year incident cohort
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Parker, Matthew J S, Oldroyd, Alexander, Roberts, Mark E, Lilleker, James B, Betteridge, Zoe E, McHugh, Neil J, Herrick, Ariane L, Cooper, Robert G, and Chinoy, Hector
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musculoskeletal diseases ,Adult ,Aged, 80 and over ,Male ,dermatomyositis ,Myositis ,idiopathic inflammatory myopathies ,Incidence ,inclusion body myositis ,Clinical Science ,Middle Aged ,Sensitivity and Specificity ,polymyositis ,Young Adult ,classification ,Humans ,Mass Screening ,Female ,skin and connective tissue diseases ,Aged - Abstract
Objectives To assess the performance of the EULAR/ACR idiopathic inflammatory myopathies (IIMs) classification criteria in a cohort of incident IIM cases and examine how criteria-assigned IIM subtype correlates with expert opinion. Methods Adults with newly diagnosed IIM attending Salford Royal NHS Foundation Trust were identified over a 10 year period. A retrospective review of all putative cases was performed and those fulfilling a consensus expert opinion diagnosis of IIM were included. Clinical, serological and histological data were collected and each case was assigned a single IIM subtype. The EULAR/ACR classification criteria were then applied and sensitivity, specificity and positive and negative predictive values were calculated, presented with 95% CIs. Results A total of 1637 cases were screened, with 255 consensus expert opinion IIM cases ultimately identified. Applying the EULAR/ACR classification criteria, the sensitivity to diagnose an IIM was 99.6% (95% CI 97.2, 100) and 80.9% (95% CI 76.0, 85.8) for the criteria cut-points of probable and definite diagnoses, respectively. In 94/255 cases the IIM subtype differed between consensus expert opinion and classification criteria, most strikingly in the group subtyped as PM by the EULAR/ACR criteria, where there was discrepancy in the majority (i.e. in 87/161). Conclusion The EULAR/ACR criteria performed with high sensitivity in identifying IIM in this external cohort of incident IIM. However, substantial disagreements arose between consensus expert opinion and the criteria regarding IIM subtype assignments, resulting in a large proportion of criteria-assigned cases of PM having heterogeneous features. These results may have important implications for future use of these criteria in subsequent research.
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- 2018
6. The reliability of immunoassays to detect autoantibodies in patients with myositis is dependent on autoantibody specificity
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Tansley, Sarah L, primary, Li, Danyang, additional, Betteridge, Zoe E, additional, and McHugh, Neil J, additional
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- 2020
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7. Myositis-specific autoantibodies: their clinical and pathogenic significance in disease expression
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Gunawardena, Harsha, Betteridge, Zoe E., and McHugh, Neil J.
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- 2009
8. Autoantibodies in juvenile-onset myositis: Their diagnostic value and associated clinical phenotype in a large UK cohort
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Tansley, Sarah L, Simou, Stefania, Shaddick, Gavin, Betteridge, Zoe E, Almeida, Beverley, Gunawardena, Harsha, Thomson, Wendy, Beresford, Michael W., Midgley, Angela, Muntoni, Francesco, Wedderburn, Lucy R, and McHugh, Neil J.
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Male ,Myositis ,Adolescent ,Myopathy ,Prognosis ,Article ,Dermatomyositis ,United Kingdom ,Cohort Studies ,Autoantibody ,Phenotype ,Treatment Outcome ,Predictive Value of Tests ,Child, Preschool ,Autoimmune disease ,Journal Article ,Humans ,Female ,Child ,Cyclophosphamide ,Biomarkers ,Immunosuppressive Agents ,Paediatric rheumatology ,Autoantibodies ,Transcription Factors - Abstract
Objectives Juvenile myositis is a rare and heterogeneous disease. Diagnosis is often difficult but early treatment is important in reducing the risk of associated morbidity and poor outcomes. Myositis specific autoantibodies have been described in both juvenile and adult patients with myositis and can be helpful in dividing patients into clinically homogenous groups. We aimed to explore the utility of myositis specific autoantibodies as diagnostic and prognostic biomarkers in patients with juvenile-onset disease. Methods Using radio-labelled immunoprecipitation and previously validated ELISAs we examined the presence of myositis specific autoantibodies in 380 patients with juvenile-onset myositis in addition to, 318 patients with juvenile idiopathic arthritis, 21 patients with juvenile-onset SLE, 27 patients with muscular dystrophies, and 48 healthy children. Results An autoantibody was identified in 60% of juvenile-onset myositis patients. Myositis specific autoantibodies (49% patients) were exclusively found in patients with myositis and with the exception of one case were mutually exclusive and not found in conjunction with another autoantibody. Autoantibody subtypes were associated with age at disease onset, key clinical disease features and treatment received. Conclusions In juvenile patients the identification of a myositis specific autoantibody is highly suggestive of myositis. Autoantibodies can be identified in the majority of affected children and provide useful prognostic information. There is evidence of a differential treatment approach and patients with anti-TIF1γ autoantibodies are significantly more likely to receive aggressive treatment with IV cyclophosphamide and/or biologic drugs, clear trends are also visible in other autoantibody subgroups., Highlights • Using immunoprecipitation, an autoantibody is identifiable in most children with juvenile-onset myositis. • Myositis specific autoantibodies are highly specific and were not identified in control groups. • Autoantibodies identify patient subgroups associated with clinically important disease features. • Evidence of an existing differential treatment approach between autoantibody subgroups is presented.
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- 2017
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9. Focused HLA analysis in Caucasians with myositis identifies significant associations with autoantibody subgroups
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Rothwell, Simon, Chinoy, Hector, Lamb, Janine A., Miller, Frederick W., Rider, Lisa G., Wedderburn, Lucy R., McHugh, Neil J., Mammen, Andrew L., Betteridge, Zoe E., Tansley, Sarah L., Bowes, John, Vencovský, Ji I., Deakin, Claire T., Dankó, Katalin, Vidya, Limaye, Selva-O'Callaghan, Albert, Pachman, Lauren M., Reed, Ann M., Molberg, Yvind, Benveniste, Olivier, Mathiesen, Pernille R., Radstake, Timothy R.D.J., Doria, Andrea, De Bleecker, Jan, Lee, Annette T., Hanna, Michael G., Machado, Pedro M., Ollier, William E., Gregersen, Peter K., Padyukov, Leonid, O'Hanlon, Terrance P., Cooper, Robert G., Lundberg, Ingrid E., Rothwell, Simon, Chinoy, Hector, Lamb, Janine A., Miller, Frederick W., Rider, Lisa G., Wedderburn, Lucy R., McHugh, Neil J., Mammen, Andrew L., Betteridge, Zoe E., Tansley, Sarah L., Bowes, John, Vencovský, Ji I., Deakin, Claire T., Dankó, Katalin, Vidya, Limaye, Selva-O'Callaghan, Albert, Pachman, Lauren M., Reed, Ann M., Molberg, Yvind, Benveniste, Olivier, Mathiesen, Pernille R., Radstake, Timothy R.D.J., Doria, Andrea, De Bleecker, Jan, Lee, Annette T., Hanna, Michael G., Machado, Pedro M., Ollier, William E., Gregersen, Peter K., Padyukov, Leonid, O'Hanlon, Terrance P., Cooper, Robert G., and Lundberg, Ingrid E.
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- 2019
10. Focused HLA analysis in Caucasians with myositis identifies significant associations with autoantibody subgroups
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UMC Utrecht, CTI Radstake, Translationele immunologie, Infection & Immunity, Rothwell, Simon, Chinoy, Hector, Lamb, Janine A., Miller, Frederick W., Rider, Lisa G., Wedderburn, Lucy R., McHugh, Neil J., Mammen, Andrew L., Betteridge, Zoe E., Tansley, Sarah L., Bowes, John, Vencovský, Ji I., Deakin, Claire T., Dankó, Katalin, Vidya, Limaye, Selva-O'Callaghan, Albert, Pachman, Lauren M., Reed, Ann M., Molberg, Yvind, Benveniste, Olivier, Mathiesen, Pernille R., Radstake, Timothy R.D.J., Doria, Andrea, De Bleecker, Jan, Lee, Annette T., Hanna, Michael G., Machado, Pedro M., Ollier, William E., Gregersen, Peter K., Padyukov, Leonid, O'Hanlon, Terrance P., Cooper, Robert G., Lundberg, Ingrid E., UMC Utrecht, CTI Radstake, Translationele immunologie, Infection & Immunity, Rothwell, Simon, Chinoy, Hector, Lamb, Janine A., Miller, Frederick W., Rider, Lisa G., Wedderburn, Lucy R., McHugh, Neil J., Mammen, Andrew L., Betteridge, Zoe E., Tansley, Sarah L., Bowes, John, Vencovský, Ji I., Deakin, Claire T., Dankó, Katalin, Vidya, Limaye, Selva-O'Callaghan, Albert, Pachman, Lauren M., Reed, Ann M., Molberg, Yvind, Benveniste, Olivier, Mathiesen, Pernille R., Radstake, Timothy R.D.J., Doria, Andrea, De Bleecker, Jan, Lee, Annette T., Hanna, Michael G., Machado, Pedro M., Ollier, William E., Gregersen, Peter K., Padyukov, Leonid, O'Hanlon, Terrance P., Cooper, Robert G., and Lundberg, Ingrid E.
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- 2019
11. Antigen binding to GM1 ganglioside results in delayed presentation: minimal effects of GM1 on presentation of antigens internalized via other pathways
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Nashar, Toufic O, Betteridge, Zoe E, and Mitchell, Richard N
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- 2002
12. Muscle Biopsy Findings in Combination With Myositis‐Specific Autoantibodies Aid Prediction of Outcomes in Juvenile Dermatomyositis
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Deakin, Claire T., Yasin, Shireena A., Simou, Stefania, Arnold, Katie A., Tansley, Sarah L., Betteridge, Zoe E., McHugh, Neil J., Varsani, Hemlata, Holton, Janice L., Jacques, Thomas S., Pilkington, Clarissa A., Nistala, Kiran, Wedderburn, Lucy R., Armon, Kate, Ellis‐Gage, Joe, Roper, Holly, Briggs, Vanja, Watts, Joanna, McCann, Liza, Roberts, Ian, Baildam, Eileen, Hanna, Louise, Lloyd, Olivia, Wadeson, Susan, Riley, Phil, McGovern, Ann, Ryder, Clive, Scott, Janis, Thomas, Beverley, Southwood, Taunton, Al‐Abadi, Eslam, Wyatt, Sue, Jackson, Gillian, Amin, Tania, Wood, Mark, VanRooyen, Vanessa, Burton, Deborah, Davidson, Joyce, Gardner‐Medwin, Janet, Martin, Neil, Ferguson, Sue, Waxman, Liz, Browne, Michael, Friswell, Mark, Swift, Alison, Jandial, Sharmila, Stevenson, Vicky, Wade, Debbie, Sen, Ethan, Smith, Eve, Qiao, Lisa, Watson, Stuart, Duong, Claire, Venning, Helen, Satyapal, Rangaraj, Stretton, Elizabeth, Jordan, Mary, Mosley, Ellen, Frost, Anna, Crate, Lindsay, Warrier, Kishore, Stafford, Stefanie, Hasson, Nathan, Maillard, Sue, Halkon, Elizabeth, Brown, Virginia, Juggins, Audrey, Smith, Sally, Lunt, Sian, Enayat, Elli, Kassoumeri, Laura, Beard, Laura, Glackin, Yvonne, Almeida, Beverley, Marques, Raquel, Dowle, Stefanie, Papadopoulou, Charis, Murray, Kevin, Ioannou, John, Suffield, Linda, Al‐Obaidi, Muthana, Lee, Helen, Leach, Sam, Smith, Helen, McMahon, Anne‐Marie, Chisem, Heather, Kingshott, Ruth, Wilkinson, Nick, Inness, Emma, Kendall, Eunice, Mayers, David, Etherton, Ruth, Bailey, Kathryn, Clinch, Jacqui, Fineman, Natalie, Pluess‐Hall, Helen, Vallance, Lindsay, Akeroyd, Louise, Leahy, Alice, Collier, Amy, Cutts, Rebecca, De Graaf, Hans, Davidson, Brian, Hartfree, Sarah, and Pratt, Danny
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Male ,Interferon-Induced Helicase, IFIH1 ,Severity of Illness Index ,Dermatomyositis ,Quadriceps Muscle ,Cohort Studies ,Adrenal Cortex Hormones ,Risk Factors ,Odds Ratio ,Threonine-tRNA Ligase ,Humans ,Longitudinal Studies ,Child ,Muscle, Skeletal ,Autoantibodies ,Myositis ,Protective Factors ,Prognosis ,Pediatric Rheumatology ,United Kingdom ,DNA-Binding Proteins ,Methotrexate ,Child, Preschool ,Female ,Signal Recognition Particle ,DNA Topoisomerases ,Immunosuppressive Agents ,Transcription Factors - Abstract
Objective Juvenile dermatomyositis (DM) is a rare and severe autoimmune condition characterized by rash and proximal muscle weakness. While some patients respond to standard treatment, others do not. This study was carried out to investigate whether histopathologic findings and myositis‐specific autoantibodies (MSAs) have prognostic significance in juvenile DM. Methods Muscle biopsy samples (n = 101) from patients in the UK Juvenile Dermatomyositis Cohort and Biomarker Study were stained, analyzed, and scored for severity of histopathologic features. In addition, autoantibodies were measured in the serum or plasma of patients (n = 90) and longitudinal clinical data were collected (median duration of follow‐up 4.9 years). Long‐term treatment status (on or off medication over time) was modeled using generalized estimating equations. Results Muscle biopsy scores differed according to MSA subgroup. When the effects of MSA subgroup were accounted for, increased severity of muscle histopathologic features was predictive of an increased risk of remaining on treatment over time: for the global pathology score (histopathologist's visual analog scale [hVAS] score), 1.48‐fold higher odds (95% confidence interval [95% CI] 1.12–1.96; P = 0.0058), and for the total biopsy score (determined with the standardized score tool), 1.10‐fold higher odds (95% CI 1.01–1.21; P = 0.038). A protective effect was identified in patients with anti–Mi‐2 autoantibodies, in whom the odds of remaining on treatment were 7.06‐fold lower (95% CI 1.41–35.36; P = 0.018) despite muscle biopsy scores indicating more severe disease. In patients with anti–nuclear matrix protein 2 autoantibodies, anti–transcription intermediary factor 1γ autoantibodies, or no detectable autoantibody, increased histopathologic severity alone, without adjustment for the effect of MSA subtype, was predictive of the risk of remaining on treatment: for the hVAS global pathology score, 1.61‐fold higher odds (95% CI 1.16–2.22; P = 0.004), and for the total biopsy score, 1.13‐fold higher odds (95% CI 1.03–1.24; P = 0.013). Conclusion Histopathologic severity, in combination with MSA subtype, is predictive of the risk of remaining on treatment in patients with juvenile DM and may be useful for discussing probable treatment length with parents and patients. Understanding these associations may identify patients at greater risk of severe disease.
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- 2016
13. Evidence for a role of ganglioside GM1 in antigen presentation: binding enhances presentation of Escherichia coli enterotoxin B subunit (EtxB) to CD4+ T cells
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Nashar, Toufic O., Betteridge, Zoe E., and Mitchell, Richard N.
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- 2001
14. Genetic background may contribute to the latitude-dependent prevalence of dermatomyositis and anti-TIF1-γ autoantibodies in adult patients with myositis
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Parkes, Joanna E., Rothwell, Simon, Oldroyd, Alexander, Chinoy, Hector, Lamb, Janine A., Lundberg, Ingrid E., Miller, Frederick W., Cooper, Robert G., Ollier, William E., Gregersen, Peter K., Vencovsky, Jiri, Danko, Katalin, Limaye, Vidya, Selva-O'Callaghan, Albert, Machado, Pedro M., Hanna, Michael G., Platt, Hazel, Molberg, Øyvind, Benveniste, Olivier, Radstake, Timothy, De Bleecker, Jan, De Paepe, Boel, Maurer, Britta, Padyukov, Leonid, O'Hanlon, Terrance P., Wedderburn, Lucy R., Denton, Christopher, Mann, Herman, Hilton-Jones, David, Kiely, Patrick, Plotz, Paul H., Gourley, Mark, Marder, Galina, McHugh, Neil J., Betteridge, Zoe E., and The Myositis Genetics Consortium (MYOGEN)
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Anti-Mi-2 ,Anti-TIF1-γ ,Latitude ,Rheumatology ,Immunology ,Immunology and Allergy ,Ultraviolet light ,Dermatomyositis ,Polymyositis - Abstract
Background: The prevalence of dermatomyositis (DM) versus DM and polymyositis (PM) combined has been shown to be negatively associated with latitude. This observation has been attributed to increasing exposure to ultraviolet (UV) light towards the equator. In this study, we investigated whether differing genetic background in populations could contribute to this distribution of DM. Methods: Case data derived from the MYOGEN (Myositis Genetics Consortium) Immunochip study (n = 1769) were used to model the association of DM prevalence and DM-specific autoantibodies with latitude. Control data (n = 9911) were used to model the relationship of human leucocyte antigen (HLA) associated with DM autoantibodies and DM or PM single-nucleotide polymorphisms (suggestive significance in the Immunochip project, P < 2.25 × 10- 5) in healthy control subjects with latitude. All variables were analysed against latitude using ordered logistic regression, adjusted for sex. Results: The prevalence of DM, as a proportion of DM and PM combined, and the presence of anti-transcription intermediary factor 1 (anti-TIF1-γ) autoantibodies were both significantly negatively associated with latitude (OR 0.96, 95% CI 0.95-0.98, P < 0.001; and OR 0.95, 95% CI 0.92-0.99, P = 0.004, respectively). HLA alleles significantly associated with anti-Mi-2 and anti-TIF1-γ autoantibodies also were strongly negatively associated with latitude (OR 0.97, 95% CI 0.96-0.98, P < 0.001 and OR 0.98, 95% CI 0.97-0.99, P < 0.001, respectively). The frequency of five PM- or DM-associated SNPs showed a significant association with latitude (P < 0.05), and the direction of four of these associations was consistent with the latitude associations of the clinical phenotypes. Conclusions: These results lend some support to the hypothesis that genetic background, in addition to UV exposure, may contribute to the distribution of DM.
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- 2018
15. Focused HLA analysis in Caucasians with myositis identifies significant associations with autoantibody subgroups
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Rothwell, Simon, primary, Chinoy, Hector, additional, Lamb, Janine A, additional, Miller, Frederick W, additional, Rider, Lisa G, additional, Wedderburn, Lucy R, additional, McHugh, Neil J, additional, Mammen, Andrew L, additional, Betteridge, Zoe E, additional, Tansley, Sarah L, additional, Bowes, John, additional, Vencovský, Jiří, additional, Deakin, Claire T, additional, Dankó, Katalin, additional, Vidya, Limaye, additional, Selva-O'Callaghan, Albert, additional, Pachman, Lauren M, additional, Reed, Ann M, additional, Molberg, Øyvind, additional, Benveniste, Olivier, additional, Mathiesen, Pernille R, additional, Radstake, Timothy R D J, additional, Doria, Andrea, additional, de Bleecker, Jan, additional, Lee, Annette T, additional, Hanna, Michael G, additional, Machado, Pedro M, additional, Ollier, William E, additional, Gregersen, Peter K, additional, Padyukov, Leonid, additional, O'Hanlon, Terrance P, additional, Cooper, Robert G, additional, and Lundberg, Ingrid E, additional
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- 2019
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16. The EuroMyositis registry: an international collaborative tool to facilitate myositis research
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Lilleker, James B; https://orcid.org/0000-0002-9230-4137, Vencovsky, Jiri; https://orcid.org/0000-0002-0851-0713, Wang, Guochun, Wedderburn, Lucy R, Diederichsen, Louise Pyndt; https://orcid.org/0000-0002-2581-8912, Schmidt, Jens, Oakley, Paula, Benveniste, Olivier, Danieli, Maria Giovanna; https://orcid.org/0000-0002-9608-2252, Danko, Katalin, Thuy, Nguyen Thi Phuong, Vazquez-Del Mercado, Monica, Andersson, Helena, De Paepe, Boel, deBleecker, Jan L, Maurer, Britta, McCann, Liza J, Pipitone, Nicolo, McHugh, Neil, Betteridge, Zoe E, New, Paul, Cooper, Robert G, Ollier, William E, Lamb, Janine A, Krogh, Niels Steen, Lundberg, Ingrid E, Chinoy, Hector, Lilleker, James B; https://orcid.org/0000-0002-9230-4137, Vencovsky, Jiri; https://orcid.org/0000-0002-0851-0713, Wang, Guochun, Wedderburn, Lucy R, Diederichsen, Louise Pyndt; https://orcid.org/0000-0002-2581-8912, Schmidt, Jens, Oakley, Paula, Benveniste, Olivier, Danieli, Maria Giovanna; https://orcid.org/0000-0002-9608-2252, Danko, Katalin, Thuy, Nguyen Thi Phuong, Vazquez-Del Mercado, Monica, Andersson, Helena, De Paepe, Boel, deBleecker, Jan L, Maurer, Britta, McCann, Liza J, Pipitone, Nicolo, McHugh, Neil, Betteridge, Zoe E, New, Paul, Cooper, Robert G, Ollier, William E, Lamb, Janine A, Krogh, Niels Steen, Lundberg, Ingrid E, and Chinoy, Hector
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- 2018
17. Oral abstracts 3: RA Treatment and outcomesO13. Validation of jadas in all subtypes of juvenile idiopathic arthritis in a clinical setting
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McErlane, Flora, Beresford, Michael W., Baildam, Eileen M., Thomson, Wendy, Hyrich, Kimme, Chieng, Alice, Davidson, Joyce, Foster, Helen E., Gardner-Medwin, Janet, Lunt, Mark, Wedderburn, Lucy, Nikiphorou, Elena, Carpenter, Lewis, Kiely, Patrick, Walsh, David, Dixey, Josh, Young, Adam, Kapoor, Sabrina R., Filer, Andrew, Fitzpatrick, Martin, Fisher, Benjamin A., Taylor, Peter C., Buckley, Christopher, McInnes, Iain, Raza, Karim, Young, Stephen P., Dougados, Maxime, Kissel, Karsten, Amital, Howard, Conaghan, Philip, Martin-Mola, Emilio, Nasonov, Evgeny, Schett, Georg, Troum, Orrin, Veldi, Tiina, Bernasconi, Corrado, Huizinga, Tom, Durez, Patrick, Genovese, Mark C., Richards, Hanno B., Supronik, Jerzy, Dokoupilova, Eva, Aelion, Jacob A., Lee, Sang-Heon, Codding, Christine E., Kellner, Herbert, Ikawa, Takashi, Hugot, Sophie, Ligozio, Gregory, Mpofu, Shephard, Kavanaugh, Arthur, Emery, Paul, Fleischmann, Roy, Van Vollenhoven, Ronald, Pavelka, Karel, Guérette, Benoît, Santra, Sourav, Redden, Laura, Kupper, Hartmut, Smolen, Josef S., Wilkie, Ross, Tajar, Abdelouahid, McBeth, John, Hooper, Lindsey S., Bowen, Catherine J., Gates, Lucy, Culliford, David, Edwards, Christopher J., Arden, Nigel K., Adams, Jo, Ryan, Sarah, Haywood, Hannah, Pain, Helen, Siddle, Heidi J., Redmond, Anthony C., Waxman, Robin, Dagg, Abigail R., Alcacer-Pitarch, Begonya, Wilkins, Richard A., Helliwell, Philip S., Norton, Sam, Williams, Richard, Halls, Serena, Law, Rebecca-Jane, Jones, Jeremy, Markland, David, Maddison, Peter, Thom, Jeanette, Parker, Ben, Urowitz, Murray B., Gladman, Dafna D., Bruce, Ian, Croca, Sara C., Pericleous, Charis, Yong, Harry, Isenberg, David, Giles, Ian, Rahman, Anisur, Ioannou, Yiannis, Warrell, Clare E., Dobarro, David, Handler, Clive, Denton, Christopher P., Schreiber, Benjamin E., Coghlan, John G., Betteridge, Zoe E., Woodhead, Felix, Bunn, Christopher, Abraham, David, Desai, Sujal, du Bois, Roland, Wells, Athol, McHugh, Neil, Abignano, Giuseppina, Aydin, Sibel, Castillo-Gallego, Conception, Woods, Daniel, Meekings, Adam, McGonagle, Dennis, Del Galdo, Francesco, Vila, Josephine, Mitchell, Sheryl, Bowman, Simon, Price, Elizabeth, Pease, Colin T., Andrews, Jacqueline, Bombardieri, Michele, Sutcliffe, Nurhan, Pitzalis, Constantino, Lanyon, Peter, Hunter, John, Gupta, Monica, McLaren, John, Regan, Marian, Cooper, Annie, Vadivelu, Saravanan, Coady, David, Griffiths, Bridget, Lendrem, Dennis, Foggo, Heather, Tarn, Jessica, Ng, Wan-Fai, Goodhead, Charlotte, Shekar, Priya, Kelly, Clive, Francis, Gail, Bailey, Ann-Marie, Thompson, Lynsey, Hamilton, Jennifer, Salisbury, Chris, Foster, Nadine E., Bishop, Annette, Coast, Jo, Franchini, Angelo, Hall, Jeanette, Hollinghurst, Sandra, Hopper, Cherida, Grove, Sean, Kaur, Surinder, Montgomery, Alan, Paskins, Zoe, Sanders, Tom, Croft, Peter R., Hassell, Andy B., Coxon, Domenica E., Frisher, Martin, Jordan, Kelvin P., Jinks, Clare, Peat, George, Monk, Helen L., Muller, Sara, Mallen, Christian, Hider, Samantha L., Roddy, Edward, and Hayward, Richard
- Abstract
Background: Juvenile Arthritis Disease Activity Score (JADAS) is a 4 variable composite disease activity (DA) score for JIA (including active 10, 27 or 71 joint count (AJC), physician global (PGA), parent/child global (PGE) and ESR). The validity of JADAS for all ILAR subtypes in the routine clinical setting is unknown. We investigated the construct validity of JADAS in the clinical setting in all subtypes of JIA through application to a prospective inception cohort of UK children presenting with new onset inflammatory arthritis. Methods: JADAS 10, 27 and 71 were determined for all children in the Childhood Arthritis Prospective Study (CAPS) with complete data available at baseline. Correlation of JADAS 10, 27 and 71 with single DA markers was determined for all subtypes. All correlations were calculated using Spearman's rank statistic. Results: 262/1238 visits had sufficient data for calculation of JADAS (1028 (83%) AJC, 744 (60%) PGA, 843 (68%) PGE and 459 (37%) ESR). Median age at disease onset was 6.0 years (IQR 2.6-10.4) and 64% were female. Correlation between JADAS 10, 27 and 71 approached 1 for all subtypes. Median JADAS 71 was 5.3 (IQR 2.2-10.1) with a significant difference between median JADAS scores between subtypes (p < 0.01). Correlation of JADAS 71 with each single marker of DA was moderate to high in the total cohort (see Table 1). Overall, correlation with AJC, PGA and PGE was moderate to high and correlation with ESR, limited JC, parental pain and CHAQ was low to moderate in the individual subtypes. Correlation coefficients in the extended oligoarticular, rheumatoid factor negative and enthesitis related subtypes were interpreted with caution in view of low numbers. Conclusions: This study adds to the body of evidence supporting the construct validity of JADAS. JADAS correlates with other measures of DA in all ILAR subtypes in the routine clinical setting. Given the high frequency of missing ESR data, it would be useful to assess the validity of JADAS without inclusion of the ESR. Disclosure statement: All authors have declared no conflicts of interest. Table 1Spearman's correlation between JADAS 71 and single markers DA by ILAR subtype ILAR Subtype Systemic onset JIA Persistent oligo JIA Extended oligo JIA Rheumatoid factor neg JIA Rheumatoid factor pos JIA Enthesitis related JIA Psoriatic JIA Undifferentiated JIA Unknown subtype Total cohort Number of children 23 111 12 57 7 9 19 7 17 262 AJC 0.54 0.67 0.53 0.75 0.53 0.34 0.59 0.81 0.37 0.59 PGA 0.63 0.69 0.25 0.73 0.14 0.05 0.50 0.83 0.56 0.64 PGE 0.51 0.68 0.83 0.61 0.41 0.69 0.71 0.9 0.48 0.61 ESR 0.28 0.31 0.35 0.4 0.6 0.85 0.43 0.7 0.5 0.53 Limited 71 JC 0.29 0.51 0.23 0.37 0.14 -0.12 0.4 0.81 0.45 0.41 Parental pain 0.23 0.62 0.03 0.57 0.41 0.69 0.7 0.79 0.42 0.53 Childhood health assessment questionnaire 0.25 0.57 -0.07 0.36 -0.47 0.84 0.37 0.8 0.66 0.47
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- 2017
18. The EuroMyositis registry: an international collaborative tool to facilitate myositis research
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Lilleker, James B, Vencovsky, Jiri, Wang, Guochun, Wedderburn, Lucy R, Diederichsen, Louise Pyndt, Schmidt, Jens, Oakley, Paula, Benveniste, Olivier, Danieli, Maria Giovanna, Danko, Katalin, Thuy, Nguyen Thi Phuong, Vazquez-Del Mercado, Monica, Andersson, Helena, De Paepe, Boel, deBleecker, Jan L, Maurer, Britta, McCann, Liza J, Pipitone, Nicolo, McHugh, Neil, Betteridge, Zoe E, New, Paul, Cooper, Robert G, Ollier, William E, Lamb, Janine A, Krogh, Niels Steen, Lundberg, Ingrid E, Chinoy, Hector, University of Zurich, and Chinoy, Hector
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Male ,Health Status ,International Cooperation ,2745 Rheumatology ,Disease registries ,610 Medicine & health ,DERMATOMYOSITIS ,Klinikai orvostudományok ,DIAGNOSIS ,Biomedical Research/methods ,Severity of Illness Index ,CLASSIFICATION ,DISEASE ,Cohort Studies ,myositis ,EuroMyositis registry ,ADULT ,IDIOPATHIC INFLAMMATORY MYOPATHIES ,1300 General Biochemistry, Genetics and Molecular Biology ,Surveys and Questionnaires ,Medicine and Health Sciences ,Smoking/adverse effects ,CRITERIA ,Humans ,2403 Immunology ,Myositis ,Registries/statistics & numerical data ,10051 Rheumatology Clinic and Institute of Physical Medicine ,Orvostudományok ,Clinical and Epidemiological Research ,Prognosis ,Myositis/epidemiology ,Cross-Sectional Studies ,POLYMYOSITIS ,ANTIBODIES ,2723 Immunology and Allergy ,AUTOANTIBODIES ,Female - Abstract
Aims T he EuroMyositis Registry facilitates collaboration across the idiopathic inflammatory myopathy (IIM) research community. This inaugural report examines pooled Registry data. Methods Cross-sectional analysis of IIM cases from 11 countries was performed. Associations between clinical subtypes, extramuscular involvement, environmental exposures and medications were investigated. Results O f 3067 IIM cases, 69% were female. The most common IIM subtype was dermatomyositis (DM) (31%). Smoking was more frequent in connective tissue disease overlap cases (45%, OR 1.44, 95% CI 1.09 to 1.90, p=0.012). Smoking was associated with interstitial lung disease (ILD) (OR 1.32, 95% CI 1.06 to 1.65, p=0.013), dysphagia (OR 1.43, 95% CI 1.16 to 1.77, p=0.001), malignancy ever (OR 1.78, 95% CI 1.36 to 2.33, p
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- 2017
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19. Anti-eukaryotic initiation factor 2B autoantibodies are associated with interstitial lung disease in patients with systemic sclerosis
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Betteridge, Zoe E., Woodhead, Felix, Lu, Hui, Shaddick, Gavin, Bunn, Christopher C., Denton, Christopher P., Abraham, David J., du Bois, Roland M., Lewis, Mervyn, Wells, Athol U., and McHugh, Neil J.
- Abstract
Objective Anti-nuclear autoantibodies are known to occur in 85-99% of Systemic Sclerosis (SSc) patients, with each SSc autoantibody correlating with a distinct clinical subset of patients. The objective of this study was to investigate novel SSc autoantibodies in the remaining autoantibody negative patients and establish clinical associations. Methods Serum samples and clinical data were collected from 548 SSc patients. Sera were tested for known SSc autoantibodies by routine serological techniques, with negative samples being further investigated by radiolabelled protein immunoprecipitation (IPP). Sera that immunoprecipitated a novel 30 kDa band were analysed by indirect immunofluorescence and IPP using depleted cell extracts to establish a common reactivity. Mass spectrometry (MS) was used to identify the novel autoantigen and findings were confirmed using commercial antibodies. Sera from 426 patients with other forms of connective tissue disease, 103 patients with rheumatoid arthritis, 114 patients with idiopathic ILD and 150 healthy controls were serotyped as controls. Results A novel autoantigen with a molecular weight of ∼30 kDa was recognised by seven sera with SSc, six of whom had interstitial lung disease (ILD) and by no controls. Six of the patients had diffuse cutaneous involvement and four had overlap features with other autoimmune diseases. Immunodepletion experiments indicated that all samples targeted the same autoantigen and MS identified the novel autoantigen as eIF2B (Eukaryotic Initiation Factor 2B). Conclusion We report a novel autoantibody (anti-eIF2B) in a small number of patients with SSc (approximately 1%) that is closely associated with diffuse cutaneous manifestations and the presence of ILD.
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- 2016
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20. Muscle biopsy in combination with myositis-specific autoantibodies aids prediction of outcomes in juvenile dermatomyositis
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Deakin, Claire T., Yasin, Shireena A., Simou, Stefania, Arnold, Katie A., Tansley, Sarah L., Betteridge, Zoe E., McHugh, Neil J., Varsani, Hemlata, Holton, Janice L., Jacques, Thomas S., Pilkington, Clarissa A., Nistala, Kiran, and Wedderburn, Lucy R.
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SDG 3 - Good Health and Well-being - Abstract
ObjectiveJuvenile dermatomyositis (DM) is a rare and severe autoimmune condition characterized by rash and proximal muscle weakness. While some patients respond to standard treatment, others do not. This study was carried out to investigate whether histopathologic findings and myositis‐specific autoantibodies (MSAs) have prognostic significance in juvenile DM.MethodsMuscle biopsy samples (n = 101) from patients in the UK Juvenile Dermatomyositis Cohort and Biomarker Study were stained, analyzed, and scored for severity of histopathologic features. In addition, autoantibodies were measured in the serum or plasma of patients (n = 90) and longitudinal clinical data were collected (median duration of follow‐up 4.9 years). Long‐term treatment status (on or off medication over time) was modeled using generalized estimating equations.ResultsMuscle biopsy scores differed according to MSA subgroup. When the effects of MSA subgroup were accounted for, increased severity of muscle histopathologic features was predictive of an increased risk of remaining on treatment over time: for the global pathology score (histopathologist's visual analog scale [hVAS] score), 1.48‐fold higher odds (95% confidence interval [95% CI] 1.12–1.96; P = 0.0058), and for the total biopsy score (determined with the standardized score tool), 1.10‐fold higher odds (95% CI 1.01–1.21; P = 0.038). A protective effect was identified in patients with anti–Mi‐2 autoantibodies, in whom the odds of remaining on treatment were 7.06‐fold lower (95% CI 1.41–35.36; P = 0.018) despite muscle biopsy scores indicating more severe disease. In patients with anti–nuclear matrix protein 2 autoantibodies, anti–transcription intermediary factor 1γ autoantibodies, or no detectable autoantibody, increased histopathologic severity alone, without adjustment for the effect of MSA subtype, was predictive of the risk of remaining on treatment: for the hVAS global pathology score, 1.61‐fold higher odds (95% CI 1.16–2.22; P = 0.004), and for the total biopsy score, 1.13‐fold higher odds (95% CI 1.03–1.24; P = 0.013).ConclusionHistopathologic severity, in combination with MSA subtype, is predictive of the risk of remaining on treatment in patients with juvenile DM and may be useful for discussing probable treatment length with parents and patients. Understanding these associations may identify patients at greater risk of severe disease.
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- 2016
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21. Systematic protein-protein interaction and pathway analyses in the idiopathic inflammatory myopathies
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Parkes, Joanna E, Rothwell, Simon, Day, Philip J, McHugh, Neil J, Betteridge, Zoe E, Cooper, Robert G, Ollier, William E, Chinoy, Hector, Lamb, Janine A, and MYOGE, Myositis Genetics Consortium
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- 2016
22. Presence of anti-eukaryotic initiation factor-2B, anti-RuvBL1/2 and anti-synthetase antibodies in patients with anti-nuclear antibody negative systemic sclerosis
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Pauling, John D, primary, Salazar, Gloria, additional, Lu, Hui, additional, Betteridge, Zoe E, additional, Assassi, Shervin, additional, Mayes, Maureen D, additional, and McHugh, Neil J, additional
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- 2017
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23. Anti-HMGCR Autoantibodies in Juvenile Idiopathic Inflammatory Myopathies Identify a Rare but Clinically Important Subset of Patients
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Tansley, Sarah L., primary, Betteridge, Zoe E., additional, Simou, Stefania, additional, Jacques, Thomas S., additional, Pilkington, Clarissa, additional, Wood, Mark, additional, Warrier, Kishore, additional, Wedderburn, Lucy R., additional, and McHugh, Neil J., additional
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- 2017
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24. performance of the European League Against Rheumatism/American College of Rheumatology idiopathic inflammatory myopathies classification criteria in an expert-defined 10 year incident cohort.
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Parker, Matthew J S, Oldroyd, Alexander, Roberts, Mark E, Lilleker, James B, Betteridge, Zoe E, McHugh, Neil J, Herrick, Ariane L, Cooper, Robert G, and Chinoy, Hector
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ATTITUDE (Psychology) ,CONFIDENCE intervals ,CONSENSUS (Social sciences) ,LONGITUDINAL method ,MEDICAL personnel ,NATIONAL health services ,MYOSITIS ,NONPROFIT organizations ,PREDICTIVE tests ,RETROSPECTIVE studies ,ADULTS ,DIAGNOSIS - Abstract
Objectives To assess the performance of the EULAR/ACR idiopathic inflammatory myopathies (IIMs) classification criteria in a cohort of incident IIM cases and examine how criteria-assigned IIM subtype correlates with expert opinion. Methods Adults with newly diagnosed IIM attending Salford Royal NHS Foundation Trust were identified over a 10 year period. A retrospective review of all putative cases was performed and those fulfilling a consensus expert opinion diagnosis of IIM were included. Clinical, serological and histological data were collected and each case was assigned a single IIM subtype. The EULAR/ACR classification criteria were then applied and sensitivity, specificity and positive and negative predictive values were calculated, presented with 95% CIs. Results A total of 1637 cases were screened, with 255 consensus expert opinion IIM cases ultimately identified. Applying the EULAR/ACR classification criteria, the sensitivity to diagnose an IIM was 99.6% (95% CI 97.2, 100) and 80.9% (95% CI 76.0, 85.8) for the criteria cut-points of probable and definite diagnoses, respectively. In 94/255 cases the IIM subtype differed between consensus expert opinion and classification criteria, most strikingly in the group subtyped as PM by the EULAR/ACR criteria, where there was discrepancy in the majority (i.e. in 87/161). Conclusion The EULAR/ACR criteria performed with high sensitivity in identifying IIM in this external cohort of incident IIM. However, substantial disagreements arose between consensus expert opinion and the criteria regarding IIM subtype assignments, resulting in a large proportion of criteria-assigned cases of PM having heterogeneous features. These results may have important implications for future use of these criteria in subsequent research. [ABSTRACT FROM AUTHOR]
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- 2019
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25. Calcinosis in juvenile dermatomyositis is influenced by both anti-NXP2 autoantibody status and age at disease onset
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Tansley, Sarah L, Betteridge, Zoe E, Shaddick, Gavin, Gunawardena, Harsha, Arnold, Katie, Wedderburn, Lucy R, and McHugh, Neil J
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Calcinosis is a major cause of morbidity in JDM and has previously been linked to anti-NXP2 autoantibodies, younger age at disease onset and more persistent disease activity. This study aimed to investigate the clinical associations of anti-NXP2 autoantibodies in patients with JDM stratified by age at disease onset.
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- 2014
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26. Brief Report: Anti–Eukaryotic Initiation Factor 2B Autoantibodies Are Associated With Interstitial Lung Disease in Patients With Systemic Sclerosis
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Betteridge, Zoe E., primary, Woodhead, Felix, additional, Lu, Hui, additional, Shaddick, Gavin, additional, Bunn, Christopher C., additional, Denton, Christopher P., additional, Abraham, David J., additional, du Bois, Roland M., additional, Lewis, Mervyn, additional, Wells, Athol U., additional, and McHugh, Neil J., additional
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- 2016
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27. Presence of anti-eukaryotic initiation factor-2B, anti-RuvBL1/2 and anti-synthetase antibodies in patients with anti-nuclear antibody negative systemic sclerosis.
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Pauling, John D, Salazar, Gloria, Lu, Hui, Betteridge, Zoe E, Assassi, Shervin, Mayes, Maureen D, and McHugh, Neil J
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AUTOANTIBODIES ,REPORTING of diseases ,INTERSTITIAL lung diseases ,LONGITUDINAL method ,SYSTEMIC scleroderma ,PHENOTYPES ,DESCRIPTIVE statistics ,PRECIPITIN tests - Abstract
Objectives. Autoantibodies targeting ubiquitously expressed nuclear antigens can be identified in most patients with SSc. Cytoplasmic autoantibodies (in otherwise ANA-negative sera) targeting eukaryotic initiation factor-2B (anti-eIF2B) have recently been identified in SSc with clinical associations to dcSSc disease and interstitial lung disease (ILD), although the majority of samples originated from a tertiary SSc-ILD centre. We investigated the prevalence and clinical associations of recently described SSc-specific (including anti-eIF2B) and other cytoplasmic autoantibodies in ANA-negative sera obtained from a large representative SSc cohort. Methods. ANA-negative sera from the Scleroderma Family Registry and DNA Repository underwent indirect immunofluorescence, radiolabelled protein immunoprecipitation (± immunodepletion) to identify anti-eIF2B and other CTD-related autoantibodies. The clinical phenotype of positive samples was evaluated. Results. Immunoprecipitation was performed on 128 ANA-negative samples (obtained from 3249 SSc patients). Anti-eIF2B antibodies were present in nine patients (7%), the majority of whom had dcSSc (8/9). SSc-ILD was present in all anti-eIF2B patients for whom chest imaging was available (7/9). Anti-synthetase autoantibodies (targeting PL12, PL7, OJ and Zo) were identified in seven patients (5.5%), all of whom fulfilled the 2013 ACR/EULAR classification criteria for SSc and had evidence of SSc-ILD where relevant outcomes were available for evaluation. Anti-RuvBL1/2 antibodies were identified in two patients with SSc-overlap syndromes. Conclusion. Anti-eIF2B antibodies are cytoplasmic SSc-specific autoantibodies with strong clinical associations with dcSSc and SSc-ILD found in ANA-negative sera. Anti-synthetase autoantibodies, and other recently discovered SSc-specific antibodies such as anti-RuvBL1/2, can also be identified in ANA-negative SSc. [ABSTRACT FROM AUTHOR]
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- 2018
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28. O55. Prevalence of Autoantibodies to Hmgcr in Myositis Patients
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Betteridge, Zoe E., primary, Chinoy, Hector, additional, Jani, Meghna, additional, Palmer, Rachel, additional, New, Paul, additional, Cooper, Robert G., additional, and McHugh, Neil J., additional
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- 2014
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29. O57. Autoantibody in Juvenile Dermatomyositis Reflects Disease Activity: Results of a Pilot Study
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Tansley, Sarah L., primary, Gunawardena, Harsha, additional, Betteridge, Zoe E., additional, Arnold, Katie, additional, Shaddick, Gavin, additional, Wedderburn, Lucy R., additional, and McHugh, Neil J., additional
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- 2014
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30. Anti-MDA5 autoantibodies in juvenile dermatomyositis identify a distinct clinical phenotype: a prospective cohort study
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Tansley, Sarah L, Betteridge, Zoe E, Gunawardena, Harsha, Jacques, Thomas S, Owens, Catherine M, Pilkington, Clarissa, Arnold, Katie, Yasin, Shireena, Moraitis, Elena, Wedderburn, Lucy R, and McHugh, Neil J
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Male ,Interferon-Induced Helicase, IFIH1 ,Immunology ,Immunoblotting ,Fluorescent Antibody Technique ,Enzyme-Linked Immunosorbent Assay ,Autoantigens ,Dermatomyositis ,Cohort Studies ,DEAD-box RNA Helicases ,Phenotype ,Rheumatology ,Immunology and Allergy ,Humans ,Immunoprecipitation ,Female ,Child ,Research Article ,Autoantibodies - Abstract
Introduction The aim of this study was to define the frequency and associated clinical phenotype of anti-MDA5 autoantibodies in a large UK based, predominantly Caucasian, cohort of patients with juvenile dermatomyositis (JDM). Methods Serum samples and clinical data were obtained from 285 patients with JDM recruited to the UK Juvenile Dermatomyositis Cohort and Biomarker Study. The presence of anti-MDA5 antibodies was determined by immunoprecipitation and confirmed by ELISA using recombinant MDA5 protein. Results were compared with matched clinical data, muscle biopsies (scored by an experienced paediatric neuropathologist) and chest imaging (reviewed by an experienced paediatric radiologist). Results Anti-MDA5 antibodies were identified in 7.4% of JDM patients and were associated with a distinct clinical phenotype including skin ulceration (P = 0.03) oral ulceration (P = 0.01), arthritis (P
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- 2014
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31. The diagnostic utility of autoantibodies in adult and juvenile myositis
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Tansley, Sarah L., primary, Betteridge, Zoe E., additional, and McHugh, Neil J., additional
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- 2013
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32. Novel autoantibodies and clinical phenotypes in adult and juvenile myositis
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Betteridge, Zoe E, primary, Gunawardena, Harsha, additional, and McHugh, Neil J, additional
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- 2011
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33. Pathogenic mechanisms of disease in myositis: autoantigens as clues
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Betteridge, Zoe E, primary, Gunawardena, Harsha, additional, and McHugh, Neil J, additional
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- 2009
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34. Newly identified autoantibodies: relationship to idiopathic inflammatory myopathy subsets and pathogenesis
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Gunawardena, Harsha, primary, Betteridge, Zoe E, additional, and McHugh, Neil J, additional
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- 2008
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35. Antigen binding to GM1 ganglioside results in delayed presentation: minimal effects of GM1 on presentation of antigens internalized via other pathways.
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Nashar, Toufic O, Betteridge, Zoe E, and Mitchell, Richard N
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ANTIGEN presenting cells , *ENDOCYTOSIS , *GANGLIOSIDES - Abstract
Summary Plasma membrane rafts are sphingolipid- and cholesterol-rich patches that function as membrane trafficking and surface signalling regions. Ganglioside GM1 is an integral component of these microdomains, and Escherichia coli enterotoxin B subunit (EtxB) is a pentamer that binds with high affinity to GM1 resulting in GM1 cross-linking. We previously demonstrated that antigen coupled directly to EtxB resulted in enhanced presentation relative to antigen taken up by fluid-phase endocytosis. Here we demonstrate a new role for GM1 in antigen presentation by examining the effects of cross-linking GM1 on the kinetics of presentation and processing of antigen by the B-cell receptor (BCR), fluid-phase endocytosis and GM1 -targeted antigen. EtxB bound to B cells does not augment the subsequent kinetics or magnitude of presentation of either BCR-internalized antigen or soluble antigen. Moreover, presentation of GM1 -bound antigen is significantly slower than antigen presentation following BCR-mediated uptake. In contrast to the rapid internalization of BCR-bound antigen (which has a half life of 60 min), the majority of EtxB-bound antigen forms a plasma membrane depot detectable for many hours after initial incubation (and with a half life of 12 hr). We conclude that cross-linking of GM1 by EtxB minimally affects the processing and presentation of antigens internalized via other pathways. Nevertheless, binding of antigens to GM1 results in delayed presentation that has important implications for in vivo immunization using GM1 -targeted adjuvants. [ABSTRACT FROM AUTHOR]
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- 2002
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36. Oral abstracts 3: RA Treatment and outcomesO13. Validation of jadas in all subtypes of juvenile idiopathic arthritis in a clinical setting
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McErlane, Flora, Beresford, Michael W., Baildam, Eileen M., Thomson, Wendy, Hyrich, Kimme, Chieng, Alice, Davidson, Joyce, Foster, Helen E., Gardner-Medwin, Janet, Lunt, Mark, Wedderburn, Lucy, Nikiphorou, Elena, Carpenter, Lewis, Kiely, Patrick, Walsh, David, Dixey, Josh, Young, Adam, Kapoor, Sabrina R., Filer, Andrew, Fitzpatrick, Martin, Fisher, Benjamin A., Taylor, Peter C., Buckley, Christopher, McInnes, Iain, Raza, Karim, Young, Stephen P., Dougados, Maxime, Kissel, Karsten, Amital, Howard, Conaghan, Philip, Martin-Mola, Emilio, Nasonov, Evgeny, Schett, Georg, Troum, Orrin, Veldi, Tiina, Bernasconi, Corrado, Huizinga, Tom, Durez, Patrick, Genovese, Mark C., Richards, Hanno B., Supronik, Jerzy, Dokoupilova, Eva, Aelion, Jacob A., Lee, Sang-Heon, Codding, Christine E., Kellner, Herbert, Ikawa, Takashi, Hugot, Sophie, Ligozio, Gregory, Mpofu, Shephard, Kavanaugh, Arthur, Emery, Paul, Fleischmann, Roy, Van Vollenhoven, Ronald, Pavelka, Karel, Guérette, Benoît, Santra, Sourav, Redden, Laura, Kupper, Hartmut, Smolen, Josef S., Wilkie, Ross, Tajar, Abdelouahid, McBeth, John, Hooper, Lindsey S., Bowen, Catherine J., Gates, Lucy, Culliford, David, Edwards, Christopher J., Arden, Nigel K., Adams, Jo, Ryan, Sarah, Haywood, Hannah, Pain, Helen, Siddle, Heidi J., Redmond, Anthony C., Waxman, Robin, Dagg, Abigail R., Alcacer-Pitarch, Begonya, Wilkins, Richard A., Helliwell, Philip S., Norton, Sam, Williams, Richard, Halls, Serena, Law, Rebecca-Jane, Jones, Jeremy, Markland, David, Maddison, Peter, Thom, Jeanette, Parker, Ben, Urowitz, Murray B., Gladman, Dafna D., Bruce, Ian, Croca, Sara C., Pericleous, Charis, Yong, Harry, Isenberg, David, Giles, Ian, Rahman, Anisur, Ioannou, Yiannis, Warrell, Clare E., Dobarro, David, Handler, Clive, Denton, Christopher P., Schreiber, Benjamin E., Coghlan, John G., Betteridge, Zoe E., Woodhead, Felix, Bunn, Christopher, Abraham, David, Desai, Sujal, du Bois, Roland, Wells, Athol, McHugh, Neil, Abignano, Giuseppina, Aydin, Sibel, Castillo-Gallego, Conception, Woods, Daniel, Meekings, Adam, McGonagle, Dennis, Del Galdo, Francesco, Vila, Josephine, Mitchell, Sheryl, Bowman, Simon, Price, Elizabeth, Pease, Colin T., Andrews, Jacqueline, Bombardieri, Michele, Sutcliffe, Nurhan, Pitzalis, Constantino, Lanyon, Peter, Hunter, John, Gupta, Monica, McLaren, John, Regan, Marian, Cooper, Annie, Vadivelu, Saravanan, Coady, David, Griffiths, Bridget, Lendrem, Dennis, Foggo, Heather, Tarn, Jessica, Ng, Wan-Fai, Goodhead, Charlotte, Shekar, Priya, Kelly, Clive, Francis, Gail, Bailey, Ann-Marie, Thompson, Lynsey, Hamilton, Jennifer, Salisbury, Chris, Foster, Nadine E., Bishop, Annette, Coast, Jo, Franchini, Angelo, Hall, Jeanette, Hollinghurst, Sandra, Hopper, Cherida, Grove, Sean, Kaur, Surinder, Montgomery, Alan, Paskins, Zoe, Sanders, Tom, Croft, Peter R., Hassell, Andy B., Coxon, Domenica E., Frisher, Martin, Jordan, Kelvin P., Jinks, Clare, Peat, George, Monk, Helen L., Muller, Sara, Mallen, Christian, Hider, Samantha L., Roddy, Edward, Hayward, Richard, McErlane, Flora, Beresford, Michael W., Baildam, Eileen M., Thomson, Wendy, Hyrich, Kimme, Chieng, Alice, Davidson, Joyce, Foster, Helen E., Gardner-Medwin, Janet, Lunt, Mark, Wedderburn, Lucy, Nikiphorou, Elena, Carpenter, Lewis, Kiely, Patrick, Walsh, David, Dixey, Josh, Young, Adam, Kapoor, Sabrina R., Filer, Andrew, Fitzpatrick, Martin, Fisher, Benjamin A., Taylor, Peter C., Buckley, Christopher, McInnes, Iain, Raza, Karim, Young, Stephen P., Dougados, Maxime, Kissel, Karsten, Amital, Howard, Conaghan, Philip, Martin-Mola, Emilio, Nasonov, Evgeny, Schett, Georg, Troum, Orrin, Veldi, Tiina, Bernasconi, Corrado, Huizinga, Tom, Durez, Patrick, Genovese, Mark C., Richards, Hanno B., Supronik, Jerzy, Dokoupilova, Eva, Aelion, Jacob A., Lee, Sang-Heon, Codding, Christine E., Kellner, Herbert, Ikawa, Takashi, Hugot, Sophie, Ligozio, Gregory, Mpofu, Shephard, Kavanaugh, Arthur, Emery, Paul, Fleischmann, Roy, Van Vollenhoven, Ronald, Pavelka, Karel, Guérette, Benoît, Santra, Sourav, Redden, Laura, Kupper, Hartmut, Smolen, Josef S., Wilkie, Ross, Tajar, Abdelouahid, McBeth, John, Hooper, Lindsey S., Bowen, Catherine J., Gates, Lucy, Culliford, David, Edwards, Christopher J., Arden, Nigel K., Adams, Jo, Ryan, Sarah, Haywood, Hannah, Pain, Helen, Siddle, Heidi J., Redmond, Anthony C., Waxman, Robin, Dagg, Abigail R., Alcacer-Pitarch, Begonya, Wilkins, Richard A., Helliwell, Philip S., Norton, Sam, Williams, Richard, Halls, Serena, Law, Rebecca-Jane, Jones, Jeremy, Markland, David, Maddison, Peter, Thom, Jeanette, Parker, Ben, Urowitz, Murray B., Gladman, Dafna D., Bruce, Ian, Croca, Sara C., Pericleous, Charis, Yong, Harry, Isenberg, David, Giles, Ian, Rahman, Anisur, Ioannou, Yiannis, Warrell, Clare E., Dobarro, David, Handler, Clive, Denton, Christopher P., Schreiber, Benjamin E., Coghlan, John G., Betteridge, Zoe E., Woodhead, Felix, Bunn, Christopher, Abraham, David, Desai, Sujal, du Bois, Roland, Wells, Athol, McHugh, Neil, Abignano, Giuseppina, Aydin, Sibel, Castillo-Gallego, Conception, Woods, Daniel, Meekings, Adam, McGonagle, Dennis, Del Galdo, Francesco, Vila, Josephine, Mitchell, Sheryl, Bowman, Simon, Price, Elizabeth, Pease, Colin T., Andrews, Jacqueline, Bombardieri, Michele, Sutcliffe, Nurhan, Pitzalis, Constantino, Lanyon, Peter, Hunter, John, Gupta, Monica, McLaren, John, Regan, Marian, Cooper, Annie, Vadivelu, Saravanan, Coady, David, Griffiths, Bridget, Lendrem, Dennis, Foggo, Heather, Tarn, Jessica, Ng, Wan-Fai, Goodhead, Charlotte, Shekar, Priya, Kelly, Clive, Francis, Gail, Bailey, Ann-Marie, Thompson, Lynsey, Hamilton, Jennifer, Salisbury, Chris, Foster, Nadine E., Bishop, Annette, Coast, Jo, Franchini, Angelo, Hall, Jeanette, Hollinghurst, Sandra, Hopper, Cherida, Grove, Sean, Kaur, Surinder, Montgomery, Alan, Paskins, Zoe, Sanders, Tom, Croft, Peter R., Hassell, Andy B., Coxon, Domenica E., Frisher, Martin, Jordan, Kelvin P., Jinks, Clare, Peat, George, Monk, Helen L., Muller, Sara, Mallen, Christian, Hider, Samantha L., Roddy, Edward, and Hayward, Richard
- Abstract
Background: Juvenile Arthritis Disease Activity Score (JADAS) is a 4 variable composite disease activity (DA) score for JIA (including active 10, 27 or 71 joint count (AJC), physician global (PGA), parent/child global (PGE) and ESR). The validity of JADAS for all ILAR subtypes in the routine clinical setting is unknown. We investigated the construct validity of JADAS in the clinical setting in all subtypes of JIA through application to a prospective inception cohort of UK children presenting with new onset inflammatory arthritis. Methods: JADAS 10, 27 and 71 were determined for all children in the Childhood Arthritis Prospective Study (CAPS) with complete data available at baseline. Correlation of JADAS 10, 27 and 71 with single DA markers was determined for all subtypes. All correlations were calculated using Spearman's rank statistic. Results: 262/1238 visits had sufficient data for calculation of JADAS (1028 (83%) AJC, 744 (60%) PGA, 843 (68%) PGE and 459 (37%) ESR). Median age at disease onset was 6.0 years (IQR 2.6-10.4) and 64% were female. Correlation between JADAS 10, 27 and 71 approached 1 for all subtypes. Median JADAS 71 was 5.3 (IQR 2.2-10.1) with a significant difference between median JADAS scores between subtypes (p < 0.01). Correlation of JADAS 71 with each single marker of DA was moderate to high in the total cohort (see Table 1). Overall, correlation with AJC, PGA and PGE was moderate to high and correlation with ESR, limited JC, parental pain and CHAQ was low to moderate in the individual subtypes. Correlation coefficients in the extended oligoarticular, rheumatoid factor negative and enthesitis related subtypes were interpreted with caution in view of low numbers. Conclusions: This study adds to the body of evidence supporting the construct validity of JADAS. JADAS correlates with other measures of DA in all ILAR subtypes in the routine clinical setting. Given the high frequency of missing ESR data, it would be useful to assess the validity of JA
37. The performance of the European League Against Rheumatism/American College of Rheumatology idiopathic inflammatory myopathies classification criteria in an expert-defined 10 year incident cohort.
- Author
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Parker MJS, Oldroyd A, Roberts ME, Lilleker JB, Betteridge ZE, McHugh NJ, Herrick AL, Cooper RG, and Chinoy H
- Subjects
- Adult, Aged, Aged, 80 and over, Female, Humans, Incidence, Male, Mass Screening, Middle Aged, Myositis epidemiology, Sensitivity and Specificity, Young Adult, Myositis classification, Myositis diagnosis
- Abstract
Objectives: To assess the performance of the EULAR/ACR idiopathic inflammatory myopathies (IIMs) classification criteria in a cohort of incident IIM cases and examine how criteria-assigned IIM subtype correlates with expert opinion., Methods: Adults with newly diagnosed IIM attending Salford Royal NHS Foundation Trust were identified over a 10 year period. A retrospective review of all putative cases was performed and those fulfilling a consensus expert opinion diagnosis of IIM were included. Clinical, serological and histological data were collected and each case was assigned a single IIM subtype. The EULAR/ACR classification criteria were then applied and sensitivity, specificity and positive and negative predictive values were calculated, presented with 95% CIs., Results: A total of 1637 cases were screened, with 255 consensus expert opinion IIM cases ultimately identified. Applying the EULAR/ACR classification criteria, the sensitivity to diagnose an IIM was 99.6% (95% CI 97.2, 100) and 80.9% (95% CI 76.0, 85.8) for the criteria cut-points of probable and definite diagnoses, respectively. In 94/255 cases the IIM subtype differed between consensus expert opinion and classification criteria, most strikingly in the group subtyped as PM by the EULAR/ACR criteria, where there was discrepancy in the majority (i.e. in 87/161)., Conclusion: The EULAR/ACR criteria performed with high sensitivity in identifying IIM in this external cohort of incident IIM. However, substantial disagreements arose between consensus expert opinion and the criteria regarding IIM subtype assignments, resulting in a large proportion of criteria-assigned cases of PM having heterogeneous features. These results may have important implications for future use of these criteria in subsequent research., (© The Author(s) 2018. Published by Oxford University Press on behalf of the British Society for Rheumatology.)
- Published
- 2019
- Full Text
- View/download PDF
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