Construction of disease assessment index of silicosis patients
10.3760/cma.j.cn121094-20181226-00569
- VernacularTitle:矽肺患者病情评估指数的构建
- Author:
Cuicui HOU
1
;
Dianfeng CAO
;
Na ZHAO
;
Ju QIU
;
Yongjian YAN
Author Information
1. 255000 淄博市职业病防治院；266000 青岛市市南区中山路街道河南路社区卫生服务中心
- Keywords:
Silicosis;
Pulmonary function;
Aggravation of the disease;
Complications;
British Medical Research Council Respiratory Questionnaire
- From:
Chinese Journal of Industrial Hygiene and Occupational Diseases
2020;38(7):512-516
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the establishment of disease assessment index model in silicosis patients.Methods:In October 2018, 171 silicosis patients who were hospitalized from November 2014 to November 2015 were selected as the study subjects. According to the standard of death risk, the subjects were divided into two groups, including the group without death risk (153 cases) and the group with death risk (18 cases) . Through literature analysis and clinical experience, the variables related to silicosis were preliminarily screened. Multifactorial logistic regression analysis variables were used to analyze the relationship between the variables and the risk of death. The variables associated with the risk of death were selected as the final variables to establish the disease assessment index model. And the receiver operating characteristic (ROC) curve was used to evaluate the clinical application of the disease assessment index.Results:Five variables of Modified British Medical Research Council Respiratory Questionnaire (mMRC) , pulmonary function injury, pneumoconiosis stage, aggravation of the disease and complications were selected as the variables of the disease assessment index, and the assessment index score ranged from 1 to 11 points. The area under the ROC curve of disease assessment index was 0.747 (95% CI: 0.590-0.904) , which could better identify the death risk of silicosis patients. With the increase of disease assessment index score, the death risk of silicosis patients increased. When the cutoff value was 7, the sensitivity and specificity were 0.667 and 0.876, respectively, for the risk of death of silicosis patients. The results of cross-validation showed that the correct discrimination rate of the disease assessment index to the risk of death was 66.7%. Conclusion:The disease assessment index can predict the death risk of patients with silicosis, and can evaluate the disease comprehensively.
