biostudies-literaturevan Dijkhuizen EHPThe Henry Smith Charity and Great Ormond Street Children's CharityAction Medical ResearchVersus ArthritisThe Myositis Support Group UKNational Institute for Health Research (NIHR) Translational Research Collaboration (TRC) Rare DiseasesFP7 People: Marie-Curie ActionsMedical Research CouncilNational Institute for Health Research (NIHR)Wellcome TrustNIHR Great Ormond Street Hospital for Children NHS Foundation Trust Biomedical Research Centre (NIHR-GOSH BRC)The Myositis Association180https://www.ebi.ac.uk/biostudies/studies/S-EPMC6094880biostudies-literatureUnknown20(1)BACKGROUND:It is currently impossible to predict the prognosis of patients with juvenile dermatomyositis (JDM). The aim of this study was to find clinical features most strongly associated with outcome variables in JDM as a first step towards tailor-made treatment. METHODS:In a large, prospectively followed, multicenter cohort study of 340 patients with JDM, each contributing multiple visits, a Bayesian model of disease activity was developed, using the four continuous outcome variables creatine kinase (CK), childhood myositis assessment score (CMAS), manual muscle testing of 8 muscle groups (MMT8) and the physician's global assessment of disease activity (PGA). Covariates were clinical signs and symptoms. Correlations among visits of the same patient were resolved by introducing subject-sArthritis research & therapyClinical signs and symptoms in a joint model of four disease activity parameters in juvenile dermatomyositis: a prospective, longitudinal, multicenter cohort study.PMC609488014518085860NF-SI-0616-1009920164SP4252289903V1268McCann LCollier APluess-Hall HRyder CSatyapal RFrost AJohnson-Moore CEllis-Gage JMosley EMartin NEnayat EMaillard SKendall EStafford SBriggs VLloyd OFriswell MBailey KQiao LThomas BMcMahon AMStevenson VRoper HLee HWaxman LStretton EHasson NDeakin CRiley PWedderburn LCrate LNistala KMiller DMacleod EWadeson SDuong CAl-Abadi EFerguson SHalkon EVenning HBaildam EVanRooyen VDe Iorio MDeakin CTLeach SAmin TSuffield LVallance LBeard LRoberts Ivan Dijkhuizen EHPWood MAkeroyd LKingshott RWatson SWarrier KCutts RWyatt SChisem HMurray KHanna LSen EMarques REtherton RVarsani HFoster HWilkinson NPratt DGardner-Medwin JIoannou JAlmeida BWade DDavidson BArmon KGlackin YSouthwood TDavidson JMcGovern AAl-Obaidi MBrowne MArnold KClinch JHartfree SDowle SDe Graaf HJDRGScott JJordan MMayers DSimou SWedderburn LRJackson GInness EBurton DLeahy APilkington CSmith HFineman NSmith EWatts JJuggins ASmith SYasin SLunt SKassoumeri LSwift APapadopoulou CJandial SBrown VRobinson EfalseClinical signs and symptoms in a joint model of four disease activity parameters in juvenile dermatomyositis: a prospective, longitudinal, multicenter cohort study.BACKGROUND:It is currently impossible to predict the prognosis of patients with juvenile dermatomyositis (JDM). The aim of this study was to find clinical features most strongly associated with outcome variables in JDM as a first step towards tailor-made treatment. METHODS:In a large, prospectively followed, multicenter cohort study of 340 patients with JDM, each contributing multiple visits, a Bayesian model of disease activity was developed, using the four continuous outcome variables creatine kinase (CK), childhood myositis assessment score (CMAS), manual muscle testing of 8 muscle groups (MMT8) and the physician's global assessment of disease activity (PGA). Covariates were clinical signs and symptoms. Correlations among visits of the same patient were resolved by introducing subject-s2018-01-01T00:00:00Z2018 Aug2025-04-18T14:26:47.055Z2019-03-26T23:52:17ZS-EPMC60948803011138010.1186/s13075-018-1687-8