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Multiple serum biomarkers associate with mortality and interstitial lung disease progression in systemic sclerosis.
Parker, Mattthew James Sinclair; Jee, Adelle S; Hansen, Dylan; Proudman, Susanna; Youssef, Peter; Kenna, Tony J; Stevens, Wendy; Nikpour, Mandana; Sahhar, Joanne; Corte, Tamera J.
Afiliação
  • Parker MJS; Faculty of Medicine and Health, The University of Sydney, Sydney, Australia.
  • Jee AS; Rheumatology Department, RPA Institute for Academic Medicine, Royal Prince Alfred Hospital, Sydney, Australia.
  • Hansen D; NHMRC Centre of Research Excellence in Pulmonary Fibrosis, Sydney, Australia.
  • Proudman S; Faculty of Medicine and Health, The University of Sydney, Sydney, Australia.
  • Youssef P; NHMRC Centre of Research Excellence in Pulmonary Fibrosis, Sydney, Australia.
  • Kenna TJ; Department of Respiratory Medicine, Royal Prince Alfred Hospital, Sydney, Australia.
  • Stevens W; Department of Rheumatology, St Vincent's Hospital, Melbourne, Australia.
  • Nikpour M; Rheumatology Unit, Royal Adelaide Hospital, Adelaide, Australia.
  • Sahhar J; Discipline of Medicine, University of Adelaide, Adelaide, Australia.
  • Corte TJ; Faculty of Medicine and Health, The University of Sydney, Sydney, Australia.
Article em En | MEDLINE | ID: mdl-38366632
ABSTRACT

OBJECTIVES:

To investigate the prognostic utility of 28 serum biomarkers in systemic sclerosis (SSc), SSc-associated interstitial lung disease (SSc-ILD) and clinically relevant disease subgroups.

METHODS:

Participants with sera, high-resolution computed tomography, and lung function within 12 months of baseline were identified from the Australian Scleroderma Cohort Study. Baseline was the time of serum collection. 27 of the prespecified 28 serum biomarkers were analysed and biomarker associations with mortality and ILD progression were investigated in univariable and multivariable analyses, including within disease subgroups and combined with established risk factors for poorer prognosis in SSc.

RESULTS:

407 participants were identified, 252 (61.9%) with SSc-ILD. The median follow up after biomarker measurement was 6.31 (3.11-9.22) years. 16 biomarkers were associated with increased mortality. High levels of VCAM-1 were most strongly associated with mortality (HR 3.55; 95%CI 2.37-5.33; p< 0.001). Five additional biomarkers had a HR > 2 SP-D (2.28, 1.57-3.31; p< 0.001), E-selectin (2.19; 1.53-3.14; p< 0.001), IL-6 (2.15 1.50-3.09; p< 0.001), MMP3 (1.42-2.95; p< 0.001) and ET-1 (2.03, 1.40-2.92; p< 0.001). 11 biomarkers were independently associated with mortality following adjustment for sex, age and baseline forced vital capacity (FVC%predicted). Three biomarkers were associated with ILD progression at one year follow up CXCL4 (OR 2.67, 1.46-4.88; p= 0.001), MMP-1 (2.56, 1.43-4.59; p= 0.002) and ET-1 (2.18, 1.24-3.83; p= 0.007).

CONCLUSION:

Multiple biomarkers, especially VCAM-1, E-Selectin, SP-D and CXCL4, provide prognostic utility beyond that of established risk factors for patients with SSc.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article