To analyze the risk factors that lead to chronic obstructive pulmonary disease and establish a relevant prediction model to provide a reference for the comprehensive prevention and control of chronic obstructive pulmonary disease in Shaanxi Province.

A total of 1 160 patients who underwent pulmonary function examination in the Second Affiliated Hospital of Air Force Medical University from June 2021 to December 2021 were selected as subjects, including 580 patients with chronic obstructive pulmonary disease (observation group)and 580 control groups, requiring them to complete the relevant questionnaire. After comparing the single factors, it was analyzed that the relevant factors and established a column to establish a column. The nomogram predicts the model.

The risk factors of chronic obstructive pulmonary disease are the age (OR=9.908, 95%CI: 2.937-33.422), the history of smoking (OR= 2.074, 95%CI: 1.605-2.681), and the history of occupational dust contact (OR=1.934, 95%CI: 1.308-2.859), the history of family respiratory disease (OR=1.856, 95%CI: 1.303-2.643), the history of respiratory tract medical period (OR=1.804, 95%CI: 1.284-2.534), and the history of biomass fuel (OR=1.469, 95%CI: 1.048-2.061). According to the chronic obstructive pulmonary risk prediction model constructed by risk factors, the AUC value is 0.739; the calibration curve Y and X are similar; the decision-making curve is within the range of 0.0-1.0. The smoking period and daily smoking volume and chronic obstructive pulmonary disease have dosage-reaction correlation and can reduce the risk of chronic obstructive pulmonary disease for more than 1 year.

The risk factors of patients with chronic obstructive pulmonary disease are the history of age, the history of smoking, the history of occupational dust contact, the history of family respiratory diseases, the history of the respiratory tract disease, and the history of biomass fuel. Chronic obstructive pulmonary risk prediction model has certain predictive value.