title: A multi-biomarker score measures rheumatoid arthritis disease activity in the BeSt study.
abstract: OBJECTIVE
  To evaluate a multi-biomarker disease activity (MBDA) score, a novel index based on 12 serum proteins, as a tool to guide management of RA patients.
  
  
  METHODS
  A total of 125 patients with RA from the Behandel Strategieën study were studied. Clinical data and serum samples were available from 179 visits, 91 at baseline and 88 at year 1. In each serum sample, 12 biomarkers were measured by quantitative multiplex immunoassays and the concentrations were used as input to a pre-specified algorithm to calculate MBDA scores.
  
  
  RESULTS
  MBDA scores had significant correlation with DAS28-ESR (Spearman's ρ = 0.66, P < 0.0001) and also correlated with simplified disease activity index, clinical disease activity index and HAQ Disability Index (all P < 0.0001). Changes in MBDA between baseline and year 1 were also correlated with changes in DAS28-ESR (ρ = 0.55, P < 0.0001). Groups stratified by European League Against Rheumatism disease activity (DAS28-ESR ≤ 3.2, 3.2-5.1 and > 5.1) had significantly different MBDA scores (P < 0.0001) and MBDA score could discriminate ACR/EULAR Boolean remission with an area under the receiver operating characteristic curve of 0.83 (P < 0.0001).
  
  
  CONCLUSIONS
  The MBDA score reflects current clinical disease activity and can track changes in disease activity over time.
authors: Leiden University Medical Center, PO Box 9600, Albinusdreef 2, 2300 RC Leiden, The Netherlands.
authors: Shintaro
authors: S
authors: Hirata
authors: Linda
authors: L
authors: Dirven
authors: Yijing
authors: Y
authors: Shen
authors: Michael
authors: M
authors: Centola
authors: Guy
authors: G
authors: Cavet
authors: Willem F
authors: WF
authors: Lems
authors: Yoshiya
authors: Y
authors: Tanaka
authors: Thomas W J
authors: TW
authors: Huizinga
authors: Cornelia F
authors: CF
authors: Allaart
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D018501:Antirheumatic Agents / Q000627:therapeutic use; D001172:Arthritis, Rheumatoid / Q000097:blood / Q000175:diagnosis* / Q000188:drug therapy; D015415:Biomarkers / Q000097:blood*; D001799:Blood Sedimentation; D016207:Cytokines / Q000097:blood; D004185:Disability Evaluation; D018450:Disease Progression; D005260:Female; D006801:Humans; D018836:Inflammation Mediators / Q000097:blood; D008297:Male; D008875:Middle Aged; D015203:Reproducibility of Results; D012720:Severity of Illness Index; D055815:Young Adult
chemical_list: D018501:Antirheumatic Agents; D015415:Biomarkers; D016207:Cytokines; D018836:Inflammation Mediators
keywords: bioinformatics; biomarkers; cytokines and inflammatory mediators; disability evaluation; molecular biology; outcome measures; rheumatoid arthritis
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