Data-driven classification of primary Sjögren’s syndrome: From cluster analysis to clinical immune phenotypes and predictive biomarkers

pSS consists of distinct clinical phenotypes with varying pathophysiological characteristics. The data-driven classification system complements traditional severity grading and provides new insights into precision medicine approaches. RF is a key biomarker linking musculoskeletal manifestations with the severity of systemic inflammation and may serve as an important indicator for precise subtyping and targeted therapy.