Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi 2020 May;38(5):374-378
Occupational Health Institute, China Centers for Disease Prevention and Control, Beijing 100050, China.
To explore the clinical phenotypic characteristics of coal worker's pneumoconiosis for guiding the individualized treatment of various types of patients with coal worker's pneumoconiosis. Collect clinical data of 121 cases of coal worker's pneumoconiosis in different stages, and select 16 clinical variables (age, smoking index, years of underground dust exposure, stages of pneumoconiosis, types of work, family history, main symptoms, secondary symptoms, CAT score, imaging manifestations, FVC%, FEV(1)/FVC, FEV(1)%, DLCO%, respiratory failure complications, pulmonary heart disease complications) . Principal Component Factor Analysis (PCA) was used to analyze 16 clinical variables of 121 patients with coal worker's pneumoconiosis. Read More