Predicting the Progression of Very Early Systemic Sclerosis: Current Insights.
Chiara BellocchiAugustine ChungElizabeth R VolkmannPublished in: Open access rheumatology : research and reviews (2022)
Systemic sclerosis (SSc) is a complex autoimmune connective tissue disease with distinct pathological hallmarks (ie, inflammation, vasculopathy, fibrosis) that may predominate at different stages in the disease course with varying severity. Initial efforts to classify patients with SSc identified a subset of patients with very early SSc. These patients possessed signs of SSc (eg, Raynaud phenomenon, SSc specific autoantibodies and/or nailfold capillary abnormalities) without fulfilling complete SSc classification criteria. Recognizing the inherent value in early diagnosis and intervention in SSc, researchers have endeavored to identify risk factors for progression from very early SSc to definite SSc. The present review summarizes the clinical phenotype of patients with very early and early SSc. Through a scoping review of recent literature, this review also describes risk factors for progression to definite SSc with a focus on the specific clinical features that arise early in the SSc disease course (eg, diffuse cutaneous sclerosis, interstitial lung disease, esophageal dysfunction, renal crisis, cardiac involvement). In addition to clinical risk factors, this review provides evidence for how biological data (ie, serological, genomic, proteomic profiles, skin bioengineering methods) can be integrated into risk assessment models in the future. Furthering our understanding of biological features of very early SSc will undoubtedly provide novel insights into SSc pathogenesis and may illuminate new therapeutic targets to prevent progression of SSc.
Keyphrases
- systemic sclerosis
- interstitial lung disease
- risk assessment
- risk factors
- oxidative stress
- randomized controlled trial
- end stage renal disease
- systemic lupus erythematosus
- rheumatoid arthritis
- left ventricular
- multiple sclerosis
- chronic kidney disease
- heart failure
- idiopathic pulmonary fibrosis
- public health
- newly diagnosed
- deep learning
- peritoneal dialysis
- heavy metals
- current status
- copy number
- liver fibrosis