期刊
OCCUPATIONAL AND ENVIRONMENTAL MEDICINE
卷 78, 期 7, 页码 516-521出版社
BMJ PUBLISHING GROUP
DOI: 10.1136/oemed-2020-106819
关键词
asbestos; pneumoconioses; lung function; respiratory
资金
- Research Foundation of the Pulmonary Diseases
- Foundation of the Finnish Anti-Tuberculosis Association
- Research Foundation of North Finland
- Jalmari and Rauha Ahokas Foundation
- Oulu University Hospital
The study investigated the pulmonary function test results of patients with asbestosis and found that baseline DLCO% predicted, age, and GAP stage were important predictors of survival. Restrictive lung function was the most common impairment, and the median estimated survival time for patients was 124 months.
Objectives Our aim was to investigate the pulmonary function test (PFT) results of patients with asbestosis and determine whether baseline PFTs and the risk-predicting models such as gender, age and physiologic (GAP) variables model and composite physiologic index (CPI) would be useful in predicting survival in these patients. Methods Demographics and PFTs of 100 patients with asbestosis were evaluated. The survival difference between the GAP stages was determined with Kaplan-Meier survival curves with statistical significance analysed with log-rank test. The suitability of the risk-predicting models and baseline PFTs to predict the survival of patients was analysed with Cox regression. Results At baseline, the mean value of diffusion capacity for carbon monoxide (DLCO) was 65%; for forced vital capacity it was 81%, with restrictive lung function being the most common impairment. The median estimated survival of the patients was 124 months, that is, 171 months in GAP stage I, 50 months in stage II and 21 months in stage III (p<0.001). CPI, DLCO% predicted, age at baseline and GAP stage were significant predictors of mortality (all p values under 0.001). Conclusions GAP and CPI as well as baseline DLCO% predicted were significant parameters in the evaluation of the prognosis of the patients with asbestosis; they may be useful in clinical practice when considering treatment strategies of individual patients.
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