Rheumatoid arthritis

A clinical-radiomics integrated nomogram for predicting 5-year survival in RA-associated interstitial lung disease

Rheumatology (Oxford)Published Prognostic model development and validation study

Authors' conclusion

The integrated nomogram (age, lymphocyte count, Rad-score) enables precise, user-friendly prediction of RA-ILD 5-year survival.

Study context

Population
Patients with RA-associated interstitial lung disease (RA-ILD) from two centres
Participants
230 patients2 centres
Comparison
Clinical, radiomics and integrated clinical-radiomics models for predicting overall survival (OS)
  • Trainingn = 144
  • Internal validationn = 37
  • External validationn = 49
Outcome
OS (5-year survival) prediction
Follow-up
5 years
Methodological detailstwo-centre, internal and external validation, LASSO-Cox regression, nomogram, Radiomics features (n = 1688) selected via variance thresholding, univariate selection and LASSO-Cox; 24 optimal features retained
  • Two-centre
  • Internal and external validation
  • LASSO-Cox regression
  • Nomogram
  • Radiomics features (n = 1688) selected via variance thresholding, univariate selection and LASSO-Cox; 24 optimal features retained

Performance

As reported in the abstract

Integrated model performance (C-index)
Test or modelConcordance index (C-index)
Training0.832
Internal validation0.816
External validation0.812

Concordance index (C-index)

Training0.832
Internal validation0.816
External validation0.812

Further findings

Independent OS predictors (multivariate Cox)

HR (95% CI)P value
Age1.046 (1.013–1.080)P = 0.006
Lymphocyte count1.385 (1.059–1.812)P = 0.018
OutcomeP value
OS by Rad-score (threshold 0.15)High-risk (Rad-score ≥ 0.15) vs Low-risk · significantly shorter OS in high-riskall P < 0.01

Original publication

A clinical-radiomics integrated nomogram for predicting 5-year survival in RA-associated interstitial lung disease. Rheumatology (Oxford). Published 13 April 2026. doi:10.1093/rheumatology/keag180

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