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Predicting outcomes in rheumatoid arthritis related interstitial lung disease.
Jacob, Joseph; Hirani, Nikhil; van Moorsel, Coline H M; Rajagopalan, Srinivasan; Murchison, John T; van Es, Hendrik W; Bartholmai, Brian J; van Beek, Frouke T; Struik, Marjolijn H L; Stewart, Gareth A; Kokosi, Maria; Egashira, Ryoko; Brun, Anne Laure; Cross, Gary; Barnett, Joseph; Devaraj, Anand; Margaritopoulos, George; Karwoski, Ronald; Renzoni, Elisabetta; Maher, Toby M; Wells, Athol U.
Afiliação
  • Jacob J; Dept of Respiratory Medicine, University College London, London, UK.
  • Hirani N; Centre for Medical Image Computing, University College London, London, UK.
  • van Moorsel CHM; MRC Centre for Inflammation Research, Edinburgh Royal Infirmary, Edinburgh, UK.
  • Rajagopalan S; St Antonius ILD Center of Excellence, Dept of Pulmonology, St Antonius Hospital, Nieuwegein, The Netherlands.
  • Murchison JT; Division of Heart and Lungs, University Medical Center Utrecht, Utrecht, The Netherlands.
  • van Es HW; Division of Radiology, Mayo Clinic Rochester, Rochester, MN, USA.
  • Bartholmai BJ; Dept of Radiology, Edinburgh Royal Infirmary, Edinburgh, UK.
  • van Beek FT; Dept of Radiology, St Antonius Hospital, Nieuwegein, The Netherlands.
  • Struik MHL; Division of Radiology, Mayo Clinic Rochester, Rochester, MN, USA.
  • Stewart GA; St Antonius ILD Center of Excellence, Dept of Pulmonology, St Antonius Hospital, Nieuwegein, The Netherlands.
  • Kokosi M; St Antonius ILD Center of Excellence, Dept of Pulmonology, St Antonius Hospital, Nieuwegein, The Netherlands.
  • Egashira R; Edinburgh Lung Fibrosis Clinic, Edinburgh Royal Infirmary, Edinburgh, UK.
  • Brun AL; Interstitial Lung Disease Unit, Royal Brompton Hospital, Royal Brompton and Harefield NHS Foundation Trust, London, UK.
  • Cross G; Dept of Radiology, Faculty of Medicine, Saga University, Saga City, Japan.
  • Barnett J; Imaging Dept, Hôpital Cochin, Paris-Descartes University, Paris, France.
  • Devaraj A; Dept of Radiology, Royal Free Hospital NHS Foundation Trust, London, UK.
  • Margaritopoulos G; Dept of Radiology, Royal Brompton Hospital, London, UK.
  • Karwoski R; Dept of Radiology, Royal Brompton Hospital, London, UK.
  • Renzoni E; Interstitial Lung Disease Unit, Royal Brompton Hospital, Royal Brompton and Harefield NHS Foundation Trust, London, UK.
  • Maher TM; Dept of Physiology and Biomedical Engineering, Mayo Clinic Rochester, Rochester, MN, USA.
  • Wells AU; Interstitial Lung Disease Unit, Royal Brompton Hospital, Royal Brompton and Harefield NHS Foundation Trust, London, UK.
Eur Respir J ; 53(1)2019 01.
Article em En | MEDLINE | ID: mdl-30487199
ABSTRACT
The aim of this study was to compare radiology-based prediction models in rheumatoid arthritis-related interstitial lung disease (RAILD) to identify patients with a progressive fibrosis phenotype.RAILD patients had computed tomography (CT) scans scored visually and using CALIPER and forced vital capacity (FVC) measurements. Outcomes were evaluated using three techniques, as follows. 1) Scleroderma system evaluating visual interstitial lung disease extent and FVC values; 2) Fleischner Society idiopathic pulmonary fibrosis (IPF) diagnostic guidelines applied to RAILD; and 3) CALIPER scores of vessel-related structures (VRS). Outcomes were compared to IPF patients.On univariable Cox analysis, all three staging systems strongly predicted outcome (scleroderma system hazard ratio (HR) 3.78, p=9×10-5; Fleischner system HR 1.98, p=2×10-3; and 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, sex and smoking status, when analysed alongside the progressive fibrotic system, the VRS threshold of 4.4% independently predicted outcome (model C-statistic 0.77).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.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Artrite Reumatoide / Doenças Pulmonares Intersticiais Tipo de estudo: Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Female / Humans / Male País como assunto: Europa Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Artrite Reumatoide / Doenças Pulmonares Intersticiais Tipo de estudo: Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Female / Humans / Male País como assunto: Europa Idioma: En Ano de publicação: 2019 Tipo de documento: Article