Predicting outcomes in rheumatoid arthritis related interstitial lung disease
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Published version
Author(s)
Type
Journal Article
Abstract
Aims: To compare radiology-based prediction models in rheumatoid arthritis-related interstitial lung disease (RA-ILD) to identify patients with a progressive fibrosis phenotype.Methods: RAILD patients had CTs scored visually and by CALIPER and forced vital capacity (FVC) measurements. Outcomes were evaluated using three techniques: 1.Scleroderma system evaluating visual ILD extent and FVC values; 2.Fleischer Society IPF diagnostic guidelines applied to RAILD; 3.CALIPER scores of vessel-related structures (VRS). Outcomes were compared to IPF patients.Results: On univariable Cox analysis, all three staging systems strongly predicted outcome: Scleroderma System:HR=3.78, p=9×10-5; Fleischner System:HR=1.98, p=2×10-3; 4.4% VRS threshold:HR=3.10, p=4×10-4 When the Scleroderma and Fleischner Systems were combined, termed the Progressive Fibrotic System (C-statistic=0.71), they identified a patient subset (n=36) with a progressive fibrotic phenotype and similar 4-year survival to IPF.On multivariable analysis, with adjustment for patient age, gender and smoking status, when analysed alongside the Progressive Fibrotic System, the VRS threshold of 4.4% independently predicted outcome (Model C-statistic=0.77).Conclusions: The combination of two visual CT-based staging systems identified 23% of an RAILD cohort with an IPF-like progressive fibrotic phenotype. The addition of a computer-derived VRS threshold further improved outcome prediction and model fit, beyond that encompassed by RAILD measures of disease severity and extent.
Date Issued
2019-01-03
Date Acceptance
2018-11-21
Citation
European Respiratory Journal, 2019, 53 (1)
ISSN
0903-1936
Publisher
European Respiratory Society
Journal / Book Title
European Respiratory Journal
Volume
53
Issue
1
Copyright Statement
Copyright ©ERS 2019 This article is open access and distributed under the terms of the Creative Commons Attribution Licence 4.0. (https://creativecommons.org/licenses/by/4.0/)
Identifier
https://www.ncbi.nlm.nih.gov/pubmed/30487199
PII: 13993003.00869-2018
Subjects
Science & Technology
Life Sciences & Biomedicine
Respiratory System
IDIOPATHIC PULMONARY-FIBROSIS
PNEUMONIA
CLASSIFICATION
MORTALITY
CRITERIA
PATTERN
11 Medical And Health Sciences
Publication Status
Published
Coverage Spatial
England
Date Publish Online
2018-11-28