Division of Critical Care Medicine, Cincinnati Children's Hospital Medical Center and Cincinnati Children's Research Foundation, Cincinnati, OH.
Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH.
Pediatr Crit Care Med. 2024 Jun 1;25(6):512-517. doi: 10.1097/PCC.0000000000003499. Epub 2024 Mar 11.
Identification of children with sepsis-associated multiple organ dysfunction syndrome (MODS) at risk for poor outcomes remains a challenge. We sought to the determine reproducibility of the data-driven "persistent hypoxemia, encephalopathy, and shock" (PHES) phenotype and determine its association with inflammatory and endothelial biomarkers, as well as biomarker-based pediatric risk strata.
We retrained and validated a random forest classifier using organ dysfunction subscores in the 2012-2018 electronic health record (EHR) dataset used to derive the PHES phenotype. We used this classifier to assign phenotype membership in a test set consisting of prospectively (2003-2023) enrolled pediatric septic shock patients. We compared profiles of the PERSEVERE family of biomarkers among those with and without the PHES phenotype and determined the association with established biomarker-based mortality and MODS risk strata.
Twenty-five PICUs across the United States.
EHR data from 15,246 critically ill patients with sepsis-associated MODS split into derivation and validation sets and 1,270 pediatric septic shock patients in the test set of whom 615 had complete biomarker data.
None.
The area under the receiver operator characteristic curve of the modified classifier to predict PHES phenotype membership was 0.91 (95% CI, 0.90-0.92) in the EHR validation set. In the test set, PHES phenotype membership was associated with both increased adjusted odds of complicated course (adjusted odds ratio [aOR] 4.1; 95% CI, 3.2-5.4) and 28-day mortality (aOR of 4.8; 95% CI, 3.11-7.25) after controlling for age, severity of illness, and immunocompromised status. Patients belonging to the PHES phenotype were characterized by greater degree of systemic inflammation and endothelial activation, and were more likely to be stratified as high risk based on PERSEVERE biomarkers predictive of death and persistent MODS.
The PHES trajectory-based phenotype is reproducible, independently associated with poor clinical outcomes, and overlapped with higher risk strata based on prospectively validated biomarker approaches.
确定具有脓毒症相关多器官功能障碍综合征 (MODS) 的儿童发生不良结局的风险仍然是一个挑战。我们试图确定数据驱动的“持续低氧血症、脑病和休克”(PHES)表型的重现性,并确定其与炎症和内皮生物标志物的关系,以及基于生物标志物的儿科风险分层。
我们使用源自 PHES 表型的 2012-2018 年电子健康记录 (EHR) 数据集的器官功能障碍子评分,重新训练和验证随机森林分类器。我们使用该分类器在一个测试集中分配表型成员,该测试集由前瞻性(2003-2023 年)纳入的儿科脓毒性休克患者组成。我们比较了具有和不具有 PHES 表型的 PERSEVERE 家族生物标志物的特征,并确定了与已建立的基于生物标志物的死亡率和 MODS 风险分层的关系。
美国 25 个 PICUs。
来自脓毒症相关 MODS 的 15246 名危重症患者的 EHR 数据分为推导集和验证集,以及 1270 名儿科脓毒性休克患者的测试集,其中 615 名患者具有完整的生物标志物数据。
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在 EHR 验证集中,修改后的分类器预测 PHES 表型成员的受试者工作特征曲线下面积为 0.91(95%CI,0.90-0.92)。在测试集中,PHES 表型成员与调整后的复杂病程(调整后的优势比[aOR]4.1;95%CI,3.2-5.4)和 28 天死亡率(调整后的优势比[aOR]4.8;95%CI,3.11-7.25)相关,同时控制了年龄、疾病严重程度和免疫抑制状态。属于 PHES 表型的患者表现出更高程度的全身炎症和内皮激活,并且更有可能根据 PERSEVERE 生物标志物分层为高风险,这些标志物可预测死亡和持续的 MODS。
基于 PHES 轨迹的表型具有可重复性,与不良临床结局独立相关,并与基于前瞻性验证生物标志物方法的更高风险分层重叠。