Systemic sclerosis & Raynaud's

Cytokine Profiling of Systemic Sclerosis–Related Pulmonary Hypertension

Arthritis RheumatolPublished Diagnostic accuracy study

Authors' conclusion

Using a single-center SSc cohort that reflects real-world heterogeneity, we generated a highly specific cytokine profile for SSc-PH through a random forest approach.

Study context

Population
Patients with SSc, 24 with SSc-PH by right heart catheterization; single centre24 with SSc-PH
Participants
106 patients
Comparison
48-cytokine random forest model vs collapsed six-cytokine model for identifying SSc-PH
Outcome
Discrimination of SSc-PH by cytokine profile (AUC, sensitivity, specificity, accuracy)
Methodological detailsobservational, single-center, random forest model, internal validation by train-test split
  • Observational
  • Single-center
  • Random forest model
  • Internal validation by train-test split

Performance

As reported in the abstract

Identification of SSc-PH
Test or modelAUCSensitivitySpecificityAccuracy
48-cytokine model0.82 (95% CI 0.62-1.00)— not stated in the abstract— not stated in the abstract— not stated in the abstract
Collapsed six-cytokine model0.83 (95% CI 0.72-1.00)0.14 (95% CI 0.00-0.58)0.96 (95% CI 0.80-1.00)0.78 (95% CI 0.60-0.91)

AUC

48-cytokine model0.82 (95% CI 0.62-1.00)
Collapsed six-cytokine model0.83 (95% CI 0.72-1.00)

Sensitivity

48-cytokine model— not stated in the abstract
Collapsed six-cytokine model0.14 (95% CI 0.00-0.58)

Specificity

48-cytokine model— not stated in the abstract
Collapsed six-cytokine model0.96 (95% CI 0.80-1.00)

Accuracy

48-cytokine model— not stated in the abstract
Collapsed six-cytokine model0.78 (95% CI 0.60-0.91)

— not stated in the abstract

Original publication

Cytokine Profiling of Systemic Sclerosis–Related Pulmonary Hypertension. Arthritis Rheumatol. Published 11 May 2026. doi:10.1002/art.70222

Composed by AI from the published abstract and checked against it. How Briefs are made →

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