New Risk Score Predicts Early Death in Systemic Sclerosis Patients

Systemic sclerosis is a rare autoimmune disease that hardens skin and organs, leading to increased mortality risk. While intensive therapies can help severe cases, they carry significant risks, making patient selection crucial for optimal outcomes.

Researchers analyzed 4,526 systemic sclerosis patients from the European EUSTAR network who were eligible for intensive therapy. They tracked survival over five years and identified key risk factors for early death using advanced statistical modeling.

The resulting RESIST score incorporates eight factors: male sex, diffuse skin involvement, age over 55, elevated inflammation markers, digital ulcers, severe skin thickening, reduced heart function, and impaired lung capacity. Patients were stratified into three groups with markedly different 5-year survival rates: 99% for low-risk, 96% for intermediate-risk, and 82% for high-risk patients.

This scoring system achieved excellent predictive accuracy, correctly identifying high-risk patients 79% of the time. The tool enables personalized treatment decisions by identifying patients who urgently need intensive therapy versus those who can safely continue standard treatments. For longevity optimization, early identification of high-risk patients allows for prompt intervention that could significantly extend lifespan. The score also prevents unnecessary exposure to risky treatments in lower-risk patients, supporting the principle of precision medicine in autoimmune disease management.