Cao Luying, Song Yuhong, Zhang Li, Liu Xiaolu, Yin Yiying, Yu Zhenrong, Zhang Yu, Feng Kun, Yue Weihong, Hu Ya, Hua Ziyu, Wei Hong
Department of Neonatology, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatric Metabolism and Inflammatory Diseases, Children's Hospital of Chongqing Medical University, Chongqing, China.
Front Pediatr. 2025 Jul 7;13:1603378. doi: 10.3389/fped.2025.1603378. eCollection 2025.
To evaluate the predictive and prognostic value of the subcutaneous-thoracic ratio (S/T) and capillary leakage index (CLI) for capillary leak syndrome (CLS) in neonatal sepsis.
A cohort of 196 neonates with sepsis, admitted to a tertiary children's hospital in southwestern China between January 2019 and March 2021, was included in the study. The neonates were divided into two groups: the CLS group ( = 55) and the non-CLS group ( = 55). Multivariate logistic regression and receiver operating characteristic (ROC) curve analysis were performed to identify key predictors of CLS.
Both S/T and CLI were found to be independent risk factors for CLS in neonatal sepsis ( < 0.05). The median S/T values for the CLS group and non-CLS group were 9.0% and 7.1%, respectively, while the median CLI values were 8.5 and 3.2. The optimal thresholds for predicting CLS were identified as 8.1% for S/T (sensitivity: 67.3%, specificity: 70.9%) and 3.3 for CLI (sensitivity: 78.2%, specificity: 56.4%). Notably, the combination of S/T and CLI yielded improved predictive performance, with a sensitivity of 81.8% and specificity of 60.0%. However, neither S/T nor CLI were significantly associated with prognosis, as no difference was observed between survivors and non-survivors ( > 0.05).
The combined application of S/T and CLI provides an effective tool for predicting the occurrence of CLS in neonatal sepsis. However, these indicators do not demonstrate prognostic value for survival outcomes.
评估皮下-胸廓比值(S/T)和毛细血管渗漏指数(CLI)对新生儿败血症中毛细血管渗漏综合征(CLS)的预测和预后价值。
纳入2019年1月至2021年3月在中国西南部一家三级儿童医院收治的196例败血症新生儿队列。将新生儿分为两组:CLS组(n = 55)和非CLS组(n = 55)。进行多因素逻辑回归和受试者工作特征(ROC)曲线分析以确定CLS的关键预测因素。
S/T和CLI均被发现是新生儿败血症中CLS的独立危险因素(P < 0.05)。CLS组和非CLS组的S/T中位数分别为9.0%和7.1%,而CLI中位数分别为8.5和3.2。预测CLS的最佳阈值确定为S/T为8.1%(敏感性:67.3%,特异性:70.9%),CLI为3.3(敏感性:78.2%,特异性:56.4%)。值得注意的是,S/T和CLI的组合产生了更好的预测性能,敏感性为81.8%,特异性为60.0%。然而,S/T和CLI均与预后无显著相关性,因为幸存者和非幸存者之间未观察到差异(P > 0.05)。
S/T和CLI的联合应用为预测新生儿败血症中CLS的发生提供了一种有效工具。然而,这些指标对生存结局不具有预后价值。