In order to better predict Th2highCRSwNP using biomarkers in NasSec, two machine learning models were established based on clinical features and biomarkers in Group 2. A logistic regression model was expressed as y = 0.0070 × IL-5 in NasSec (pg/mL) + 0.00138 × CCL26 in NasSec (pg/mL) + 2.73 × asthma + 2.44 × blood eosinophil count (109/L) – 0.3 × previous sinus surgery (with presence of asthma as 1 and absence of asthma as 0; with previous sinus surgery as 1 and without previous sinus surgery as 0); and a decision tree model was established as shown in Figure 4A. This evidence concerns the gene CCL26 and asthma.