Analysis of immune characteristics and inflammatory mechanisms in COPD patients: a multi-layered study combining bulk and single-cell transcriptome analysis and machine learning.

The ROC curve analysis revealed that TIMP1 (AUC = 0.8519, p -value < 0.0001), CLEC5A (AUC = 0.8287, p -value < 0.0001), and ADM (AUC = 0.8071, p -value = 0.0003) had AUC values exceeding 0.8 and highly significant p -values, indicating their high diagnostic efficiency in distinguishing COPD patients from non-COPD individuals ( Figures 4G – M ). 3.5.

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