Figure 2.

The optimal features were selected using a LASSO logistics regression using 10-fold cross-validation via lambda.1se criteria in the development cohort (A). LASSO coefficient profiles of the candidate laboratory indicators (B). Summary of results obtained from the optimal logistic regression model selected by the stepwise multivariable logistics regression mode (C). CK, creatine kinase; CRP, C reactive protein; DLCO%, diffusing capacity of the lung for carbon monoxide predicted; ESR, erythrocyte sedimentation rate; FiO₂, fraction of inspiration O₂; FVC%, forced vital capacity predicted; HRCT, high-resolution CT; IgG, immunoglobulin G; LASSO, least absolute shrinkage and selection operator; LDH, lactate CT; MDA5, melanoma differentiation-associated gene 5; NSIP, non-specific interstitial pneumonia; OP, organising pneumonia; PLT, platelets; UIP, usual interstitial pneumonia; WBC, white cell counts.