Chu Caiting, Wang Lijun, Wu Yuhang, Li Huajun, Xu Shanshan, Zhang Liya, Liu Quanhua, Zhang Xi, Xu Lei, Gao Chengjin, Huang Lisu
Department of Radiology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Department of Infectious Diseases, Xinhua Children's Hospital, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Quant Imaging Med Surg. 2023 Mar 1;13(3):1874-1886. doi: 10.21037/qims-22-508. Epub 2023 Jan 3.
It is unclear whether local pathological pulmonary changes truly reflect the severity of childhood infection, which is characterized by rapid progress and potential mortality. This study multi-dimensionally analyzed low-dose computed tomography findings to assess the severity of infection and predict its progress in such patients.
In all, 752 children with pneumonia (MPP) who underwent low-dose computed tomography examinations from February 2016 to July 2020 were retrospectively enrolled to conduct a cohort study. Clinical and radiological variables were analyzed using univariate analysis, and radiological variables were further analyzed using multivariable logistic regression in severe cases. Then, the correlation between the key computed tomography features and clinical symptoms, laboratory indicators, and medical costs were assessed using the chi-squared and Kruskal-Wallis H tests. Kaplan-Meier curves and Cox regression models were created to evaluate the correlations between the key computed tomography features, fever duration, and the length of hospital stay.
Of the 752 included patients, 16.2% (122/752) developed severe MPP. Atelectasis, pleural effusion, and lung consolidation occurred in 9.7% (73/752), 15.8% (119/752), and 90.3% (679/752) of patients, respectively. In addition to pleural effusion, the number of lobes of lung consolidation was the highest risk feature of severe MPP. Patients with consolidation in 2, 3, and 4 lobes had a 1.0-, 3.1-, and 7.5-fold increased risk of severe MPP, compared with patients with consolidation in fewer than 1 lobe. The duration of fever prior to admission had no effect on the proportions of the lobar consolidation (P=0.14) but did have significant effect on the incidence of pleural effusion (P=0.004). Levels of inflammatory markers and medical costs rose consistently with the increase in the number of lobar consolidations (P<0.001). After adjustments for pleural effusion, 1, 2, 3, and 4 lobes of consolidation remained positively associated with fever duration [1 lobe: hazard ratio (HR) =1.55, 95% CI: 1.10-2.18; 2 lobes: HR =1.65, 95% CI: 1.13-2.42l; 3 lobes: HR =1.82, 95% CI: 1.11-2.98; 4 lobes: HR =2.87, 95% CI: 1.25-6.61] compared to 0 lobes of consolidation. Compared to 0 lobes of consolidation, 1, 2, 3, and 4 lobes of consolidation were also positively correlated with the length of hospital stay (1 lobe: HR =2.24, 95% CI: 1.73-2.89; 2 lobes: HR =2.56, 95% CI: 1.91-3.43; 3 lobes: HR =2.87, 95% CI: 1.90-4.32; 4 lobes: HR =4.12, 95% CI: 2.01-8.46).
Lobar consolidation is a stable and reliable computed tomography feature that can be used to assess the severity of MPP in children. Quantitative analysis of lobar consolidation can comprehensively and accurately predict the progression of . Low-dose computed tomography is recommended for children with severe MPP with complicated courses.
尚不清楚局部肺部病理改变是否真的能反映儿童感染的严重程度,儿童感染具有进展迅速和潜在致死性的特点。本研究对低剂量计算机断层扫描(CT)结果进行多维度分析,以评估此类患者感染的严重程度并预测其进展情况。
回顾性纳入2016年2月至2020年7月期间接受低剂量CT检查的752例肺炎支原体肺炎(MPP)患儿进行队列研究。采用单因素分析临床和影像学变量,对重症病例的影像学变量进一步进行多因素逻辑回归分析。然后,使用卡方检验和Kruskal-Wallis H检验评估关键CT特征与临床症状、实验室指标及医疗费用之间的相关性。绘制Kaplan-Meier曲线并建立Cox回归模型,以评估关键CT特征、发热持续时间和住院时间之间的相关性。
752例纳入患者中,16.2%(122/752)发生重症MPP。肺不张、胸腔积液和肺实变分别发生在9.7%(73/752)、15.8%(119/752)和90.3%(679/752)的患者中。除胸腔积液外,肺实变的肺叶数是重症MPP的最高风险特征。与肺实变少于1个肺叶的患者相比,肺实变2个、3个和4个肺叶的患者发生重症MPP的风险分别增加1.0倍、3.1倍和7.5倍。入院前发热持续时间对肺叶实变比例无影响(P = 0.14),但对胸腔积液发生率有显著影响(P = 0.004)。炎症标志物水平和医疗费用随肺叶实变数量的增加而持续升高(P < 0.001)。在调整胸腔积液因素后,与0个肺叶实变相比,1个、2个、3个和4个肺叶实变仍与发热持续时间呈正相关[1个肺叶:风险比(HR)= 1.55,95%置信区间(CI):1.10 - 2.18;2个肺叶:HR = 1.65,95% CI:1.13 - 2.42;3个肺叶:HR = 1.82,95% CI:1.11 - 2.98;4个肺叶:HR = 2.87,95% CI:1.25 - 6.61]。与0个肺叶实变相比,1个、2个、3个和4个肺叶实变也与住院时间呈正相关(1个肺叶:HR = 2.24,95% CI:1.73 - 2.89;2个肺叶:HR = 2.56,95% CI:1.91 - 3.43;3个肺叶:HR = 2.87,95% CI:1.90 - 4.32;4个肺叶:HR = 4.12,95% CI:2.01 - 8.46)。
肺叶实变是一种稳定可靠的CT特征,可用于评估儿童MPP的严重程度。对肺叶实变进行定量分析可全面准确地预测病情进展。对于病程复杂的重症MPP患儿,推荐进行低剂量CT检查。