A Composite Serum Biomarker Index for the Diagnosis of Systemic Sclerosis–Associated Interstitial Lung Disease: A Multicenter, Observational Cohort Study

Author:

Jee Adelle S.1ORCID,Stewart Iain2,Youssef Peter3ORCID,Adelstein Stephen4,Lai Donna5,Hua Sheng5,Stevens Wendy6,Proudman Susanna7,Ngian Gene‐Siew8,Glaspole Ian N.9,Moodley Yuben P.10,Bleasel Jane F.11,Macansh Sacha12,Nikpour Mandana13,Sahhar Joanne8,Corte Tamera J.1,

Affiliation:

1. Department of Respiratory Medicine Royal Prince Alfred Hospital, School of Medicine, University of Sydney Faculty of Medicine and Health, and Australia National Health and Medical Research Council Centre of Research Excellence in Pulmonary Fibrosis Sydney New South Wales Australia

2. National Heart and Lung Institute, Imperial College, London, UK, and National Institute for Health Research Biomedical Research Centre, Respiratory Research Unit University of Nottingham Nottingham UK

3. School of Medicine, University of Sydney Faculty of Medicine and Health, and Institute of Rheumatology and Orthopaedics Royal Prince Alfred Hospital Sydney New South Wales Australia

4. School of Medicine, University of Sydney Faculty of Medicine and Health, and Department of Clinical Immunology and Allergy, Royal Prince Alfred Hospital, and Central Immunopathology Laboratory, NSW Health Pathology New South Wales Australia

5. Bosch Institute, Molecular Biology Facility University of Sydney Sydney New South Wales Australia

6. Department of Rheumatology St. Vincent's Hospital, Fitzroy Melbourne Victoria Australia

7. Rheumatology Unit, Royal Adelaide Hospital, and Discipline of Medicine University of Adelaide Adelaide South Australia Australia

8. Department of Inflammatory Diseases, Monash Health, Melbourne, Victoria, Australia, and Department of Medicine, Monash University, Department of Rheumatology Clayton Victoria Australia

9. Australia National Health and Medical Research Council Centre of Research Excellence in Pulmonary Fibrosis, Department of Medicine, Central Clinical School, Monash University, and Commercial Department of Respiratory Medicine Alfred Hospital Melbourne Victoria Australia

10. NHMRC Centre of Research Excellence in Pulmonary Fibrosis, Department of Respiratory Medicine, Fiona Stanley Hospital, and Institute for Respiratory Health University of Western Australia Perth Western Australia Australia

11. School of Medicine and Public Health, Faculty of Health Medicine and Wellbeing The University of Newcastle Callaghan New South Wales Australia

12. Lung Foundation Australia Milton Queensland Australia

13. Department of Rheumatology, St. Vincent's Hospital Melbourne, and Department of Medicine The University of Melbourne, St. Vincent's Hospital Melbourne Victoria Australia

Abstract

ObjectiveIn patients with systemic sclerosis (SSc), we investigated composite serum biomarker panels for the diagnosis and risk stratification of SSc–associated interstitial lung disease (SSc‐ILD).MethodsWe analyzed 28 biomarkers in 640 participants: 259 patients with SSc‐ILD and 179 SSc patients without ILD (Australian Scleroderma Cohort Study), 172 patients with idiopathic pulmonary fibrosis (IPF‐controls) (Australian IPF Registry), and 30 healthy controls. A composite index was developed from biomarkers associated with ILD in multivariable analysis derived at empirical thresholds. We evaluated the performance of the index to identify ILD, and specifically SSc‐ILD, and its association with lung function, disease extent on radiography, and patient health–related quality of life in derivation and validation cohorts. Biomarkers to distinguish SSc‐ILD from IPF‐controls were identified.ResultsA composite biomarker index, comprising surfactant protein D (SP‐D), Ca15‐3, and intercellular adhesion molecule 1 (ICAM‐1), was strongly associated with SSc‐ILD diagnosis, independent of age, sex, smoking history, and lung function (for biomarker index score 3, pooled adjusted odds ratio was 12.72 (95% confidence interval 4.59–35.21) (P < 0.001). The composite index strengthened the performance of individual biomarkers for SSc‐ILD identification. In SSc patients, a higher index was associated with worse baseline disease severity (for biomarker index score 3 relative to biomarker index score 0, the adjusted absolute change in forced vital capacity percent predicted was −17.84% and the diffusing capacity for carbon monoxide percent predicted was −20.16%; both P < 0.001).ConclusionA composite serum biomarker index, comprising SP‐D, Ca15‐3, and ICAM‐1, may improve the identification and risk stratification of ILD in SSc patients at baseline.

Funder

Arthritis Australia

Roche

Publisher

Wiley

Subject

Immunology,Rheumatology,Immunology and Allergy

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