Registry
Background
MYONET now includes longitudinal patient data contributed by >20 centres in >16 countries. The registry is accessed using a web-based interface, enabling access from any computer with internet access. All data are encrypted and stored on secure and automatically backed-up servers.
The registry includes standardised data collection proforma and incorporates the International Myositis Assessment & Clinical Studies Group (IMACS) disease activity and disease damage core set measures.
(link to IMACS disease activity website)
Using the registry
Local ethical approvals are required at each centre where the registry is implemented. Informed consent is obtained from all included patients. The exact structures used to collect data vary from country to country and centre to centre. For example, in the UK, the project is coordinated from the University of Manchester, but >60 individual centres contribute data.
By default, each centre only has access to their individual dataset. Most data are input manually, usually during (or soon after) clinic appointments, but there are facilities for bulk uploads of data to the registry and the potential to synchronise with other systems, including electronic health records and smartphone apps.
Current capabilities
Within the registry, each patient record is arranged into two main sections. Firstly, a ‘core’ dataset includes demographics, diagnosis, clinical features, laboratory investigations, past medications, auto-antibodies, muscle biopsy and classification criteria details.
Secondly, ‘per visit’ data can then be added for each patient. This includes IMACs core set measures (physician’s global assessment, MMT, disease activity, muscle enzymes, patient’s global assessment & HAQ), lab and imaging results, prescriptions, myositis damage index, functionality index, dermatology life quality index, quality of life and SF36 questionnaires, which can be updated longitudinally.
Information added to this section populates a patient ‘scoreboard’ that summarises clinical outcome measures over time and can be used in the clinical setting to obtain a snapshot of disease activity and help facilitate discussions with patients and treatment decisions.
The MYONET registry and underlying data storage platform is also integral to the UK Medical Research Council funded ‘Prospective Cohort Study in Myositis’ (MYOPROSP - https://clinicaltrials.gov/ct2/show/NCT02468895) and the Swedish quality of care register (SRO). Both studies are collecting standardised longitudinal data regarding national inception cohorts of patients with IIM.
Future developments
The MYONET registry is currently undergoing modification to support the introduction of Fast Health Interoperability Resources (FHIR). FHIR is an emerging IT standard which facilitates exchange of health data by using agreed methods of describing data in different systems. This permits easier interoperability of IT systems and will support more widespread integration of the MYONET registry with local electronic health records, without the need for bespoke synchronisation solutions.
In the future there will also be an increasing emphasis on collection of longitudinal patient reported outcome measures. These data can be input directly into the registry by the patient using a smartphone ‘App’ or other device (including ‘wearable tech’).
Projects
2021
Clinical manifestations of extra muscular disease in dermatomyositis and anti- synthetase syndrome. Results from the EuroMyositis registry
2021
2020
Survival prediction in myositis associated interstitial lung disease using the interstitial lung disease – GAP model
2019
Cardiovascular consequences of systemic inflammation in IIM
2019
2018
Biomarkers as predictors to treatment response and outcome
2015
The Euromyositis Registry: Myositis Serology
2015
2015
The Euromyositis Registry: A Multinational Collaborative Approach to Rare Disease Research
2014
Prediction of disease progression in patients with polymyositis and dermatomyositis using the Euromyositis registry
2014
2014
Long term outcomes in childhood myositis
Publications
Lodin K, Espinosa-Ortega F, Dastmalchi M, Vencovsky J, Andersson H, Chinoy H, Lilleker JB, Shinjo SK, Maurer B, Griger Z, Ceribelli A, Torres-Ruiz J, Vasquez-Del Mercado M, Leonard D, Alexanderson H, Lundberg IE; MyoNet Registry Study Group. Patient global assessment and inflammatory markers in patients with idiopathic inflammatory myopathies - A longitudinal study. Semin Arthritis Rheum. 2024 Jan 14;65:152379. doi: 10.1016/j.semarthrit.2024.152379. Epub ahead of print. PMID: 38241913.
https://www.sciencedirect.com/science/article/pii/S0049017224000209
Mahler M, Betteridge Z, Bentow C, Richards M, Seaman A, Chinoy H, McHugh N.
Comparison of Three Immunoassays for the Detection of Myositis Specific
Antibodies. Front Immunol. 2019 Apr 30;10:848. doi: 10.3389/fimmu.2019.00848.
eCollection 2019. PubMed PMID: 31114570; PubMed Central PMCID: PMC6503053.
https://www.frontiersin.org/articles/10.3389/fimmu.2019.00848/full
Betteridge Z, Tansley S, Shaddick G, Chinoy H, Cooper RG, New RP, Lilleker JB,
Vencovsky J, Chazarain L, Danko K, Nagy-Vincze M, Bodoki L, Dastmalchi M, Ekholm
L, Lundberg IE, McHugh N; UKMyonet contributors. Frequency, mutual exclusivity
and clinical associations of myositis autoantibodies in a combined European
cohort of idiopathic inflammatory myopathy patients. J Autoimmun. 2019
Jul;101:48-55. doi: 10.1016/j.jaut.2019.04.001. Epub 2019 Apr 13. PubMed PMID:
30992170.
https://www.sciencedirect.com/science/article/pii/S0896841119301003?via%3Dihub
Lilleker JB, Vencovsky J, Wang G, Wedderburn LR, Diederichsen LP, Schmidt J, Oakley P, Benveniste O, Danieli MG, Danko K, Thuy NTP, Vazquez-Del Mercado M, Andersson H, De Paepe B, deBleecker JL, Maurer B, McCann LJ, Pipitone N, McHugh N, Betteridge ZE, New P, Cooper RG, Ollier WE, Lamb JA, Krogh NS, Lundberg IE, Chinoy H; all EuroMyositis contributors. The EuroMyositis registry: an international collaborative tool to facilitate myositis research. Ann Rheum Dis. 2018 Jan;77(1):30-39. doi: 10.1136/annrheumdis-2017-211868. Epub 2017 Aug 30. PubMed PMID: 28855174; PubMed Central PMCID: PMC5754739.
https://ard.bmj.com/content/77/1/30.long
Kryštůfková O, Barbasso Helmers S, Venalis P, Malmström V, Lindroos E,
Vencovský J, Lundberg IE. Expression of BAFF receptors in muscle tissue of
myositis patients with anti-Jo-1 or anti-Ro52/anti-Ro60 autoantibodies. Arthritis
Res Ther. 2014 Oct 10;16(5):454. doi: 10.1186/s13075-014-0454-8. PubMed PMID:
25301447; PubMed Central PMCID: PMC4234835.
https://arthritis-research.biomedcentral.com/articles/10.1186/s13075-014-0454-8
Jani M, Massey J, Wedderburn LR, Vencovský J, Danko K, Lundberg IE, Padyukov
L, Selva-O'Callaghan A, Radstake T, Platt H, Warren RB, Griffiths CE, Lee A,
Gregersen PK, Miller FW, Ollier WE, Cooper RG, Chinoy H, Lamb JA; EUMYONET.
Genotyping of immune-related genetic variants identifies TYK2 as a novel
associated locus for idiopathic inflammatory myopathies. Ann Rheum Dis. 2014
Sep;73(9):1750-2. doi: 10.1136/annrheumdis-2014-205440. Epub 2014 May 7. PubMed
PMID: 24812289; PubMed Central PMCID: PMC4471138.
https://ard.bmj.com/content/73/9/1750.long
De Bleecker JL, Lundberg IE, de Visser M; ENMC Myositis Muscle Biopsy Study
Group. 193rd ENMC International workshop Pathology diagnosis of idiopathic
inflammatory myopathies 30 November - 2 December 2012, Naarden, The Netherlands.
Neuromuscul Disord. 2013 Nov;23(11):945-51. doi: 10.1016/j.nmd.2013.07.007. Epub
2013 Sep 4. PubMed PMID: 24011698.
https://www.nmd-journal.com/article/S0960-8966(13)00927-9/fulltext
Labirua-Iturburu A, Selva-O'Callaghan A, Vincze M, Dankó K, Vencovsky J,
Fisher B, Charles P, Dastmalchi M, Lundberg IE. Anti-PL-7 (anti-threonyl-tRNA
synthetase) antisynthetase syndrome: clinical manifestations in a series of
patients from a European multicenter study (EUMYONET) and review of the
literature. Medicine (Baltimore). 2012 Jul;91(4):206-11. doi:
10.1097/MD.0b013e318260977c. Review. PubMed PMID: 22732951.
https://insights.ovid.com/pubmed?pmid=22732951
Chinoy H, Adimulam S, Marriage F, New P, Vincze M, Zilahi E, Kapitány A,
Gyetvai A, Ekholm L, Novota P, Remakova M, Charles P, McHugh NJ, Padyukov L,
Alfredsson L, Vencovsky J, Lundberg IE, Danko K, Ollier WE, Cooper RG.
Interaction of HLA-DRB1*03 and smoking for the development of anti-Jo-1
antibodies in adult idiopathic inflammatory myopathies: a European-wide case
study. Ann Rheum Dis. 2012 Jun;71(6):961-5. doi: 10.1136/annrheumdis-2011-200182.
Epub 2011 Dec 20. PubMed PMID: 22186711; PubMed Central PMCID: PMC3371226.
https://ard.bmj.com/content/71/6/961.long
Sultan SM, Allen E, Cooper RG, Agarwal S, Kiely P, Oddis CV, Vencovsky J,
Lundberg IE, Dastmalchi M, Hanna MG, Isenberg DA. Interrater reliability and
aspects of validity of the myositis damage index. Ann Rheum Dis. 2011
Jul;70(7):1272-6. doi: 10.1136/ard.2010.142117. PubMed PMID: 21622773.
https://ard.bmj.com/content/70/7/1272.long
Books
Chinoy H. & Cooper R.G. (ed). Myositis - Oxford Rheumatology Library. (Oxford University Press) 2017
https://global.oup.com/academic/product/myositis-9780198754121?cc=gb&lang=en&
Cooper R.G., Chinoy H., Lundberg I. Gene–Gene and Gene–Environment Interactions in Defining Risk and Spectrum of Phenotypes in Idiopathic Inflammatory Myopathies. Between the Lines of Genetic Code: Genetic Interactions in Understanding Disease and Complex Phenotypes. Ed Padyukov (Elsevier) 2014:115-132
https://www.sciencedirect.com/science/article/pii/B9780123970176000076