Zhu Yun, Li Lingyan, Wang Wenxiao, Liu Xiaodan, Zhang Meng Xue, Chen Xiumin, Hou Xiaofeng, Wang Weimei, Min Tuo, Liu Jinmei, Liu Lecui, Liu Chengjun, Jiang Zhong, Wang Yanping, Chang Dayun, Pan Hua
Department of Pediatric Intensive Care Unit, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, People's Republic of China.
Department of Pediatrics, Zibo Maternal and Child Health Hospital, Zibo, Shandong, People's Republic of China.
Infect Drug Resist. 2024 Sep 18;17:4067-4078. doi: 10.2147/IDR.S479580. eCollection 2024.
The Omicron variant is the present predominant COVID-19 strain worldwide. Accurate mortality prediction can facilitate risk stratification and targeted therapies. The study aimed to evaluate the feasibility of the difference in hematocrit and albumin (HCT-ALB) levels, alone or combined with the pediatric Sequential Organ Failure Assessment (pSOFA) score and lactate level, to predict the in-hospital mortality of COVID-19 Omicron variant-infected pediatric patients.
A multicenter retrospective cohort study was performed for children with COVID-19 Omicron variant infection between December 2021 and January 2022. The demographics, clinical characteristics, hospital admission laboratory test results, and treatments were recorded. The in-hospital mortality was documented. The associations between HCT-ALB levels and mortality, and between HCT-ALB+pSOFA+lactate and mortality were analyzed.
A total of 119 children were included. The median age was 1.6 (interquartile range: 0.5-6.2) years old. There were 70 boys and 49 girls. The mortality rate was 14.3% (17/119). The univariate and multivariate Cox regression analysis revealed that HCT-ALB was associated to in-hospital mortality (hazard ratio: 1.500, 95% confidence interval: 1.235-1.822, <0.001). The receiver operating characteristic curve analysis revealed that HCT-ALB can be used to accurately predict in-hospital mortality at a cut-off value of -0.7 (area under the curve: 0.888, sensitivity: 0.882, specificity: 0.225, Youden index: 0.657, <0.001). These patients were assigned into three groups based on the HCT-ALB level, pSOFA score, and lactate level (low-, medium-, and high-risk groups). The Kaplan-Meier analysis revealed that the mortality increased in the high-risk group, when compared to the medium-risk group (<0.01). The latter group had a higher mortality, when compared to the low-risk group (<0.01).
The HCT-ALB level can be applied to predict the in-hospital mortality of children infected with the COVID-19 Omicron variant. Its combination with other variables can improve prediction performance.
奥密克戎变异株是目前全球主要的新冠病毒毒株。准确的死亡率预测有助于进行风险分层和靶向治疗。本研究旨在评估单独使用血细胞比容和白蛋白(HCT-ALB)水平差异,或联合儿童序贯器官衰竭评估(pSOFA)评分及乳酸水平,预测感染新冠病毒奥密克戎变异株的儿科患者院内死亡率的可行性。
对2021年12月至2022年1月期间感染新冠病毒奥密克戎变异株的儿童进行了一项多中心回顾性队列研究。记录了人口统计学信息、临床特征、入院实验室检查结果及治疗情况。记录了院内死亡率。分析了HCT-ALB水平与死亡率之间以及HCT-ALB + pSOFA + 乳酸水平与死亡率之间的关联。
共纳入119名儿童。中位年龄为1.6(四分位间距:0.5 - 6.2)岁。有70名男孩和49名女孩。死亡率为14.3%(17/119)。单因素和多因素Cox回归分析显示,HCT-ALB与院内死亡率相关(风险比:1.500,95%置信区间:1.235 - 1.822,<0.001)。受试者工作特征曲线分析显示,HCT-ALB可用于在临界值为 -0.7时准确预测院内死亡率(曲线下面积:0.888,灵敏度:0.882,特异度:0.225,约登指数:0.657,<0.001)。根据HCT-ALB水平、pSOFA评分和乳酸水平将这些患者分为三组(低、中、高风险组)。Kaplan-Meier分析显示,与中风险组相比,高风险组的死亡率增加(<0.01)。与低风险组相比,中风险组的死亡率更高(<0.01)。
HCT-ALB水平可用于预测感染新冠病毒奥密克戎变异株儿童的院内死亡率。其与其他变量联合使用可提高预测性能。