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Supplementary Material for: The Association between Tree and Weed Pollen Sensitization and Prediction Model for Artemisia Allergy in Grasslands Region of Inner Mongolia of China

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NIAID Data Ecosystem2026-05-10 收录
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https://figshare.com/articles/dataset/Supplementary_Material_for_The_Association_between_Tree_and_Weed_Pollen_Sensitization_and_Prediction_Model_for_Artemisia_Allergy_in_Grasslands_Region_of_Inner_Mongolia_of_China/30797810
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Background: This study aimed to investigate the distribution characteristics, sensitization patterns and potential correlation of airborne pollen allergens of physician-diagnosed pollen-induced allergic rhinitis (PiAR) patients in Ordos city in grasslands region. Methods: This retrospective study enrolled 234 patients with confirmed PiAR. Skin prick tests (SPT) of 12 common pollen allergens were used to detect and analyze the correlation of pollen allergens. Kendall's tau-b correlation was performed. The LASSO regression model was used to select the most important variables. Multi-adjusted logistic regression was performed to predict the risk of Artemisia sensitization. Results: Artemisia, sunflower and lambsquarters were the top three sensitizing pollen allergens, and the highest sensitization rate was for Artemisia (72.22%). The sensitization rate of weed-pollen was higher than that of tree-pollen. Kendall's tau-b correlation results showed a moderate (0.4< r<0.6) to strong (0.6
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2025-12-05
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