Literature DB >> 30159791

Determination of the minimally important difference (MID) in multi-biomarker disease activity (MBDA) test scores: impact of diurnal and daily biomarker variation patterns on MBDA scores.

David Chernoff1, P Scott Eastman2, Ching Chang Hwang2, Darl D Flake3, Xingbin Wang2, Alan Kivitz4, Jeffrey R Curtis5.   

Abstract

The Multi-Biomarker Disease Activity (MBDA) score is a validated rheumatoid arthritis (RA) disease activity measure based on 12 serum biomarkers. Here, we evaluate short-term biological variability of MBDA scores to determine the magnitude of change that might be considered clinically meaningful. Twenty-eight adult seropositive RA patients with clinically stable disease and no changes in RA medications for 4 weeks prior to study were enrolled. Nine serum samples were obtained over four consecutive days (non-fasting). MBDA score variation was assessed day-to-day (daily) and within 24 h (diurnal). The standard deviation (SD) of MBDA scores was calculated by a linear mixed model including random effects for patient, day, and time of day. The minimally important difference (MID) was calculated as [Formula: see text]. A subgroup analysis was performed for patients with active RA (moderate or high MBDA score). The SD of MBDA score change in the full cohort was 4.7 in a combined daily-diurnal variation analysis, which corresponds with an MID of 11. The SD of MBDA score change in the subset of patients with active RA (moderate/high MBDA scores) was 3.6. This corresponds with an MID of 8 units in patients with active RA for whom clinicians are most likely to need guidance with respect to therapeutic decisions. Changes in MBDA score ≥ 8 represent a change in RA disease activity that clinicians can use as a benchmark for therapeutic drug efficacy and can be incorporated into a treat-to-target strategy.

Entities:  

Keywords:  Minimally important difference (MID); Multi-biomarker disease activity (MBDA); Rheumatoid arthritis; Vectra DA

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Year:  2018        PMID: 30159791     DOI: 10.1007/s10067-018-4276-y

Source DB:  PubMed          Journal:  Clin Rheumatol        ISSN: 0770-3198            Impact factor:   2.980


  4 in total

1.  Ultrasound and multi-biomarker disease activity score for assessing and predicting clinical response to tofacitinib treatment in patients with rheumatoid arthritis.

Authors:  Amir A Razmjou; Jenny Brook; David Elashoff; Gurjit Kaeley; Soo Choi; Tanaz Kermani; Veena K Ranganath
Journal:  BMC Rheumatol       Date:  2020-10-19

2.  Validation of the adjusted multi-biomarker disease activity score as a prognostic test for radiographic progression in rheumatoid arthritis: a combined analysis of multiple studies.

Authors:  Jeffrey R Curtis; Michael E Weinblatt; Nancy A Shadick; Cecilie H Brahe; Mikkel Østergaard; Merete Lund Hetland; Saedis Saevarsdottir; Megan Horton; Brent Mabey; Darl D Flake; Rotem Ben-Shachar; Eric H Sasso; T W Huizinga
Journal:  Arthritis Res Ther       Date:  2021-01-04       Impact factor: 5.156

Review 3.  Biomarker discovery studies for patient stratification using machine learning analysis of omics data: a scoping review.

Authors:  Enrico Glaab; Armin Rauschenberger; Rita Banzi; Chiara Gerardi; Paula Garcia; Jacques Demotes
Journal:  BMJ Open       Date:  2021-12-06       Impact factor: 2.692

4.  Predictive ability, validity, and responsiveness of the multi-biomarker disease activity score in patients with rheumatoid arthritis initiating methotrexate.

Authors:  Brent A Luedders; Tate M Johnson; Harlan Sayles; Geoffrey M Thiele; Ted R Mikuls; James R O'Dell; Bryant R England
Journal:  Semin Arthritis Rheum       Date:  2020-06-17       Impact factor: 5.532

  4 in total

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