Department of Pediatric Respiratory, Gansu Provincial Maternity and Child-Care Hospital, Lanzhou City 730050, Gansu, China.
Comput Intell Neurosci. 2022 Mar 31;2022:1182114. doi: 10.1155/2022/1182114. eCollection 2022.
The diagnosis of asthma depends on the unprejudiced proof of the varying airflow obstruction. The pulmonary function tests are carried out to evaluate the clinical value of different types of respiratory diseases in children or infants. This study is focused on the clinical evaluation of the pulmonary function tests in the diagnosis of pediatric asthma and cough variant asthma. A differential diagnosis method for chronic obstructive pulmonary disease (COPD) and asthma-COPD overlap with complementary diagnostic value is proposed. For the pulmonary function tests, the COPD gene dataset was selected and feature selection was performed using the DBN-SVM scoring method. For analysis and comparison, the differential diagnosis models were built using ROC curves for the accuracy of the deep belief network model and the support vector machine model. The sensitive features associated with COPD and ACO classification using the deep belief network model were found to be in good agreement with known clinical diagnostic strategies. The clinical diagnosis tests for pulmonary pediatric asthma and cough variant asthma were conducted on two groups of children, with both groups containing a basis of comparison. 80 cases of pediatric asthma and cough variant asthma were admitted from 2013 to 2014 and 80 cases of children with a healthy physical examination. The results of the two groups were compared. The results showed that the levels of FEV1, PEF, and FVC were significantly lower ( < 0.05), in healthy children, and FEV1/FVC%, RV, and RV/TCL% were significantly higher ( < 0.05) in children with asthma and cough variant asthma during acute exacerbation and chronic persistence. There were no statistically significant differences in the duration of clinical remission ( > 0.05). Thus, the study suggests that confirmed cases of the diagnosis of pediatric asthma and cough variant asthma by pulmonary function tests were significantly higher than those of conventional tests ( < 0.05). From this study, we can conclude that pulmonary function tests can accurately diagnose pediatric asthma and cough variant asthma, and also accurately reflect the development of the child's disease, which is of high clinical value.
哮喘的诊断取决于对不同气流阻塞的无偏见证明。进行肺功能测试是为了评估儿童或婴儿不同类型呼吸道疾病的临床价值。本研究侧重于肺功能测试在小儿哮喘和咳嗽变异型哮喘诊断中的临床评估。提出了一种用于慢性阻塞性肺疾病（COPD）和哮喘-COPD 重叠的鉴别诊断方法，具有互补的诊断价值。对于肺功能测试，选择了 COPD 基因数据集，并使用 DBN-SVM 评分方法进行特征选择。为了进行分析和比较，使用 ROC 曲线为深度置信网络模型和支持向量机模型的准确性构建了差异诊断模型。使用深度置信网络模型发现与 COPD 和 ACO 分类相关的敏感特征与已知的临床诊断策略非常吻合。对两组儿童进行了小儿哮喘和咳嗽变异型哮喘的临床诊断测试，两组均有对照。2013 年至 2014 年共收治 80 例小儿哮喘和咳嗽变异型哮喘患儿，80 例健康体检儿童。比较两组结果。结果显示，在急性加重期和慢性持续期，哮喘和咳嗽变异型哮喘患儿的 FEV1、PEF 和 FVC 水平明显较低（<0.05），而 FEV1/FVC%、RV 和 RV/TCL%明显较高（<0.05）；临床缓解期持续时间无统计学差异（>0.05）。因此，该研究表明，肺功能测试对小儿哮喘和咳嗽变异型哮喘的确诊明显高于常规检查（<0.05）。由此可见，肺功能检查可以准确诊断小儿哮喘和咳嗽变异型哮喘，也能准确反映患儿疾病的发展，具有较高的临床价值。
