AIM: To evaluate the clinical and antibody profile of systemic sclerosis (SSc) in a Malaysian cohort.
METHODS: Consecutive patients with SSc in University Malaya Medical Centre from March to November 2012 were included in this study. In addition to clinical characterization, all subjects underwent autoantibody testing using Euroline immunoblot assay. The association between clinical features and autoantibody profile was evaluated.
RESULTS: There were 31, predominantly Chinese (45.2%), subjects. Limited cutaneous disease was the most common subtype (71%). Raynaud's phenomenon was the most commonly observed feature (83.9%). Nine (29%) had esophageal dysmotility symptoms and 23 (74.2%), including all patients with diffuse SSc, had symptoms of gastro-esophageal reflux disease (GERD). Restrictive pattern on pulmonary function test and evidence of lung fibrosis were seen in more than 70% of patients. Echocardiographic evidence of pulmonary arterial hypertension was seen in 58.1%. Telangiectasia, calcinosis, digital ulcers, digital pulp loss or pitting were seen more commonly in the diffuse subtype. The two most prevalent autoantibodies were anti-Scl-70 and anti-Ro-52. The presence of anti-Scl-70 was significantly associated with restrictive lung disease (P = 0.05). Anti-Ro-52 was associated with control subjects with other autoimmune diseases (P = 0.043). The presence of anti-PM-Scl-75 was associated with overlap syndrome (P = 0.032). Patients with anticentromere antibodies were more likely to have vasculitic rash (P = 0.012).
CONCLUSION: In Malaysia, SSc most commonly affects the Chinese. Limited cutaneous is more common than diffuse subtype. Features of CREST (calcinosis, Reynaud disease, esophageal dysmotility, sclerodactyly, telangiectasia) are more commonly observed in the diffuse cutaneous subgroup. Anti-Scl-70 and anti-Ro-52 antibodies are promising biomarkers for pulmonary involvement in SSc.
KEYWORDS: Malaysia; autoantibodies; clinical profile; systemic sclerosis
* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.