Figures & data
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Table 1 Differences Between Items and Scores of the Three Questionnaires
Figure 1 The flow of the study and results of screening.
Abbreviations: FEV1/FVC, forced expiratory volume in the first second/forced vital capacity; GOLD, Global Initiative for Chronic Obstructive Lung Disease.
![Figure 1 The flow of the study and results of screening.Abbreviations: FEV1/FVC, forced expiratory volume in the first second/forced vital capacity; GOLD, Global Initiative for Chronic Obstructive Lung Disease.](/cms/asset/acde4e00-dd0a-468a-baa8-54378e7adab2/dcop_a_12164123_f0001_b.jpg)
Table 2 Characteristics of Participants with Complete Questionnaire Data and Spirometry Results
Table 3 ROC Curve and Diagnostic Values of the Three COPD Screening Questionnaires
Figure 2 Comparison of ROC curves of the three COPD screening questionnaires. The blue curve is the ROC curve of COPD-PS, the green curve is ROC curve of COPD-SQ, and the Orange curve is of COPD-MH. The marker points are shown as empty circles representing the best cut-off values. Identification of COPD by the three questionnaires were similar.
![Figure 2 Comparison of ROC curves of the three COPD screening questionnaires. The blue curve is the ROC curve of COPD-PS, the green curve is ROC curve of COPD-SQ, and the Orange curve is of COPD-MH. The marker points are shown as empty circles representing the best cut-off values. Identification of COPD by the three questionnaires were similar.](/cms/asset/717898d3-e7b4-4a70-a846-d7d1e9c12b35/dcop_a_12164123_f0002_c.jpg)
Table 4 Effect of Gender Difference on Cut-off Value, AUC, and Validity of the Three Screening Questionnaires
Figure 3 Gender disparity on different screening questionnaires. A gender value of 1 represents male and 2 represents female. (A) shows the ROC curve of gender disparity for the COPD-PS and the sensitivity for females is higher than males; (B) is the ROC curve of gender disparity for the COPD-SQ; (C) is the ROC curve of gender disparity for the COPD-MH. The marker points are shown as empty circles representing the best cut-off values. The self-designed COPD-MH had higher diagnostic efficiency and higher sensitivity with gender-specific cut-off values for both males and females.
![Figure 3 Gender disparity on different screening questionnaires. A gender value of 1 represents male and 2 represents female. (A) shows the ROC curve of gender disparity for the COPD-PS and the sensitivity for females is higher than males; (B) is the ROC curve of gender disparity for the COPD-SQ; (C) is the ROC curve of gender disparity for the COPD-MH. The marker points are shown as empty circles representing the best cut-off values. The self-designed COPD-MH had higher diagnostic efficiency and higher sensitivity with gender-specific cut-off values for both males and females.](/cms/asset/360520d1-4d33-4127-82d5-206fe56d99ce/dcop_a_12164123_f0003_c.jpg)
Table 5 Impact of the Severity of COPD on Questionnaire Scores and Diagnostic Accuracy