Cai S J, Zhang L L, Chen S Y, Zhu T T, Xu M, Zheng Y M, Zhang H L
Department of Pediatric Respiratory Medicine, the Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou 325027, ChinaCai Shujing is working at the Department of Neonatology, Jinhua Maternal and Child Health Care Hospital, Jinhua 321000, China.
Zhonghua Er Ke Za Zhi. 2024 Mar 25;62(4):331-336. doi: 10.3760/cma.j.cn112140-20231201-00403.
To investigate the diagnostic value of lung ultrasound in hospitalized children with community-acquired pneumonia (CAP). In the cross-sectional study, a total of 422 children with CAP who were hospitalized in the Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, from February 2021 to August 2022 and completed lung ultrasound examination within 48 hours after admission were enrolled. The clinical characteristics, lung ultrasound and chest CT were collected. The patients were divided into two groups according to the signs of pneumonia indicated by chest CT, and the signs of lung ultrasound with diagnostic value were screened according to the signs of pneumonia indicated by chest CT by least absolute shrinkage and selection operator (Lasso) regression. According to severity of the disease, the children were divided into the severe group and the mild group, and the differences of lung ultrasound signs between the two groups were compared. Kruskal-Wallis test, Fisher's exact test was selected for comparison between groups. Random forest classifier wes used to evaluate the value of lung ultrasound in the diagnosis of CAP and prediction of severe pneumonia in children. The receiver operating characteristic curve was used to evaluate the prediction effect. Use DeLong test to compare the area under the curve. Among the 422 cases of CAP, there were 258 males and 164 females, and the age of onset was 2.8 (1.3, 4.3) years. The confluent B-line, consolidation and pleural effusion detected by lung ultrasound were 309 cases (73.2%), 232 cases (55.0%) and 16 cases (3.8%), respectively, and the size of consolidation was 3.0 (0, 11.0) mm. One hundred and ten children (26.1%) with CAP completed chest CT. There were 90 cases with signs of pneumonia in chest CT and 20 cases without signs of pneumonia. Lasso was used for feature selection.Lung consolidation (=2.46), bilateral lung consolidation (=1.16) and confluent B-line (=1.34) were the main index. With random forest classifier, the accuracy of models using full variables and Lasso-selected variables were 0.79 (95% 0.70-0.86) and 0.79 (95% 0.70-0.86), the sensitivity were 0.81 and 0.81, and the specificity were 0.75 and 0.70, and the area under curve were 0.87 (95% 0.81-0.94, <0.001) and 0.84 (95% 0.76-0.91, <0.001), respectively. There were 97 cases in severe group and 325 cases in mild group. Compared with the mild group, the detection rate of consolidation, multiple consolidation, the size of consolidation and the size of consolidation was adjusted by body surface area (consolidation size/body surface area) in severe group were higher (66 cases (68.0%) 166 cases (51.1%), 42 cases (43.3%) 93 cases (28.6%), 8.0 (0, 17.0) 1.0 (0, 9.0) mm, 12.5 (0, 24.6) 2.1 (0, 17.6), =8.59, 9.98, =14.40, 12.79, all <0.05). Using lung ultrasound lung consolidation size and consolidation size/body surface area to predict the severe CAP, the optimal cut-off value were 6.7 mm and 10.2, the accuracy was 0.80 (95% 0.75-0.83) and 0.89 (95% 0.86-0.92), the sensitivity was 0.99 and 0.99, the specificity was 0.14 and 0.56, respectively, and the area under the curve was 0.66 (95% 0.60-0.72, <0.001) and 0.76 (95% 0.70-0.83, <0.001), respectively. The area under the curve of consolidation size/body surface area was higher than that of consolidation size (=5.50, <0.001). Consolidation and confluent B-line, are important index for lung ultrasound diagnosis of CAP in children. The actual consolidation size adjusted by body surface area is superior to the size of consolidation in predicting severe CAP.
探讨肺部超声对社区获得性肺炎(CAP)住院患儿的诊断价值。在这项横断面研究中,纳入了2021年2月至2022年8月在温州医科大学附属第二医院和育英儿童医院住院、入院后48小时内完成肺部超声检查的422例CAP患儿。收集其临床特征、肺部超声及胸部CT资料。根据胸部CT所示肺炎征象将患者分为两组,采用最小绝对收缩和选择算子(Lasso)回归根据胸部CT所示肺炎征象筛选出具有诊断价值的肺部超声征象。根据疾病严重程度将患儿分为重症组和轻症组,比较两组肺部超声征象的差异。组间比较采用Kruskal-Wallis检验、Fisher精确检验。采用随机森林分类器评估肺部超声在儿童CAP诊断及重症肺炎预测中的价值。采用受试者工作特征曲线评估预测效果。用DeLong检验比较曲线下面积。422例CAP患儿中,男258例,女164例,发病年龄为2.8(1.3,4.3)岁。肺部超声检测到的融合B线、实变及胸腔积液分别为309例(73.2%)、232例(55.0%)和16例(3.8%),实变大小为3.0(0,11.0)mm。110例(26.1%)CAP患儿完成了胸部CT检查。胸部CT有肺炎征象者90例,无肺炎征象者20例。采用Lasso进行特征选择。肺部实变(=2.46)、双侧肺部实变(=1.16)和融合B线(=1.34)为主要指标。采用随机森林分类器,使用全变量和Lasso选择变量的模型的准确率分别为0.79(95% 0.70 - 0.86)和0.79(95% 0.70 - 0.86),灵敏度分别为0.81和0.81,特异度分别为0.75和0.70,曲线下面积分别为0.87(95% 0.81 - 0.94,<0.001)和0.84(95% 0.76 - 0.91,<0.001)。重症组97例,轻症组325例。与轻症组相比,重症组实变、多发实变、实变大小及经体表面积校正的实变大小(实变大小/体表面积)的检出率更高(66例(68.0%)对166例(51.1%),42例(43.3%)对93例(28.6%),8.0(0,17.0)对1.0(0,9.0)mm,12.5(0,24.6)对2.1(0,17.6),=8.59,9.98,=14.40,12.79,均<0.05)。采用肺部超声实变大小及实变大小/体表面积预测重症CAP,最佳截断值分别为6.7 mm和