Department of Pediatrics, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.
China Hospital Development Institute, Shanghai Jiao Tong University, Shanghai, China.
J Clin Lab Anal. 2020 Jun;34(6):e23227. doi: 10.1002/jcla.23227. Epub 2020 Feb 10.
Asthma-like symptoms (ALS) often occur among children with lower respiratory tract infections (LRTIs). We aimed to determine the potential risk factors for ALS onset in LRTIs children.
A total of 102 LRTIs with ALS and 474 without ALS were enrolled. The relative risk (RR) was used to test the influence of the clinical factors on the ALS risk. We compared the differences of birth data, wheezing history, disease severity, inflammatory markers, infectious pathogens, allergic markers, cardiac, liver, and kidney injury markers between LRTIs with and without ALS onset. Receiver operating curve (ROC) analysis was applied to determine the predictive value of various markers in the ALS risk in LRTIs. Multivariate logistic regression analysis was performed to evaluate the association between various clinical and laboratory parameters and ALS onset in LRTIs.
The RRs of boys/girls ratio and wheezing history for ALS compared with non-ALS was 1.263 and 2.850, respectively (P = .026, <10 ). There were significant differences of age, WBC, PLT, EOS, and CK between LRTIs with and without ALS onset (P = .004, .041, .006, .049, and .035). ROC analysis showed that significant associations between the parameters of age, WBC, and PLT and ALS risk among LRTIs were observed. Multivariate logistic regression analysis showed that the clinical and laboratory parameters were not independently associated with the risk of ALS onset among LRTIs.
Lower age, male, inflammation, and allergic state were risk factors for ALS onset in LRTIs. Comprehensive monitoring and evaluation of these factors may be helpful for ALS prevention.
哮喘样症状（ALS）常发生于下呼吸道感染（LRTIs）患儿中。我们旨在确定 LRTIs 患儿中 ALS 发病的潜在危险因素。
共纳入 102 例 LRTIs 合并 ALS 和 474 例无 ALS 的患儿。采用相对危险度（RR）检验临床因素对 ALS 风险的影响。比较 LRTIs 合并与不合并 ALS 患儿的出生资料、喘息史、疾病严重程度、炎症标志物、感染病原体、过敏标志物、心、肝、肾损伤标志物的差异。应用受试者工作特征曲线（ROC）分析确定各种标志物在 LRTIs 中 ALS 风险预测中的价值。采用多因素逻辑回归分析评估各种临床和实验室参数与 LRTIs 中 ALS 发病的关系。
男孩/女孩比值和喘息史的 RR 分别为 1.263 和 2.850（P=0.026，<10）。LRTIs 合并与不合并 ALS 患儿的年龄、WBC、PLT、EOS 和 CK 差异有统计学意义（P=0.004，0.041，0.006，0.049，0.035）。ROC 分析显示，年龄、WBC 和 PLT 等参数与 LRTIs 中 ALS 风险之间存在显著相关性。多因素逻辑回归分析显示，临床和实验室参数与 LRTIs 中 ALS 发病风险无独立相关性。
年龄较小、男性、炎症和过敏状态是 LRTIs 中 ALS 发病的危险因素。综合监测和评估这些因素可能有助于 ALS 的预防。
