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儿科脓毒症生物标志物风险模型 生物标志物与儿科感染性休克心肌功能障碍的评估。

Pediatric Sepsis Biomarker Risk Model Biomarkers and Estimation of Myocardial Dysfunction in Pediatric Septic Shock.

机构信息

Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH.

Division of Critical Care Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, OH.

出版信息

Pediatr Crit Care Med. 2022 Jan 1;23(1):e20-e28. doi: 10.1097/PCC.0000000000002830.

DOI:10.1097/PCC.0000000000002830
PMID:34560770
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8738125/
Abstract

OBJECTIVES

Sepsis-associated myocardial dysfunction is common in pediatric septic shock and negatively impacts outcomes. Early estimation of sepsis-associated myocardial dysfunction risk has the potential to inform clinical care and improve clinical trial design. The Pediatric Sepsis Biomarker Risk Model II is validated as a biomarker-based enrichment algorithm to discriminate children with septic shock with high baseline mortality probability. The objectives were to determine if Pediatric Sepsis Biomarker Risk Model biomarkers are associated with risk for sepsis-associated myocardial dysfunction in pediatric septic shock and to develop a biomarker-based model to reliably estimate sepsis-associated myocardial dysfunction risk.

DESIGN

Secondary analysis of prospective cohort study.

SETTING

Single-center, quaternary-care PICU.

PATIENTS

Children less than 18 years old admitted to the PICU from 2003 to 2018 who had Pediatric Sepsis Biomarker Risk Model biomarkers measured for determination of Pediatric Sepsis Biomarker Risk Model II mortality probability and an echocardiogram performed within 48 hours of septic shock identification.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Pediatric Sepsis Biomarker Risk Model II mortality probability was calculated from serum biomarker concentrations and admission platelet count. Echocardiograms were reread by a single cardiologist blinded to Pediatric Sepsis Biomarker Risk Model II data, and sepsis-associated myocardial dysfunction was defined as left ventricular ejection fraction less than 45% for primary analyses. Multivariable logistic regression analyzed the association of Pediatric Sepsis Biomarker Risk Model II mortality probability with sepsis-associated myocardial dysfunction. Classification and regression tree methodology was employed to derive a Pediatric Sepsis Biomarker Risk Model biomarker-based model for sepsis-associated myocardial dysfunction. Thirty-two of 181 children with septic shock demonstrated sepsis-associated myocardial dysfunction. Pediatric Sepsis Biomarker Risk Model II mortality probability was independently associated with sepsis-associated myocardial dysfunction (odds ratio, 1.45; 95% CI, 1.17-1.81; p = 0.001). Modeling with Pediatric Sepsis Biomarker Risk Model biomarkers estimated sepsis-associated myocardial dysfunction risk with an area under the receiver operating characteristic curve of 0.90 (95% CI, 0.85-0.95). Upon 10-fold cross-validation, the derived model had a summary area under the receiver operating characteristic curve of 0.74. Model characteristics were similar when sepsis-associated myocardial dysfunction was defined by both low left ventricular ejection fraction and abnormal global longitudinal strain.

CONCLUSIONS

A newly derived Pediatric Sepsis Biomarker Risk Model biomarker-based model reliably estimates risk of sepsis-associated myocardial dysfunction in pediatric septic shock, but independent prospective validation is needed.

摘要

目的

脓毒症相关性心肌功能障碍在儿科脓毒性休克中很常见,对预后有负面影响。早期估计脓毒症相关性心肌功能障碍的风险有可能为临床治疗提供信息,并改善临床试验设计。儿科脓毒症生物标志物风险模型 II 是一种基于生物标志物的富集算法,用于区分基线死亡率高的脓毒性休克患儿。本研究的目的是确定儿科脓毒症生物标志物风险模型的生物标志物是否与儿科脓毒性休克患者发生脓毒症相关性心肌功能障碍的风险相关,并开发一种基于生物标志物的模型来可靠地估计脓毒症相关性心肌功能障碍的风险。

设计

前瞻性队列研究的二次分析。

地点

单中心、四级儿童重症监护病房。

患者

2003 年至 2018 年期间入住儿童重症监护病房的年龄小于 18 岁的儿童,这些儿童接受了儿科脓毒症生物标志物风险模型生物标志物的测量,以确定儿科脓毒症生物标志物风险模型 II 的死亡率概率,并在脓毒性休克确定后 48 小时内进行超声心动图检查。

干预

无。

测量和主要结果

根据血清生物标志物浓度和入院时血小板计数计算儿科脓毒症生物标志物风险模型 II 的死亡率概率。超声心动图由一位对儿科脓毒症生物标志物风险模型 II 数据盲法的单一心脏病专家重新阅读,左心室射血分数<45%为主要分析中脓毒症相关性心肌功能障碍的定义。多变量逻辑回归分析了儿科脓毒症生物标志物风险模型 II 死亡率概率与脓毒症相关性心肌功能障碍的关系。采用分类回归树方法从儿科脓毒症生物标志物风险模型生物标志物中得出一种用于脓毒症相关性心肌功能障碍的模型。在 181 例脓毒性休克患儿中,有 32 例出现脓毒症相关性心肌功能障碍。儿科脓毒症生物标志物风险模型 II 的死亡率概率与脓毒症相关性心肌功能障碍独立相关(比值比,1.45;95%置信区间,1.17-1.81;p=0.001)。使用儿科脓毒症生物标志物风险模型生物标志物进行建模可以估计脓毒症相关性心肌功能障碍的风险,其受试者工作特征曲线下面积为 0.90(95%置信区间,0.85-0.95)。经过 10 倍交叉验证,得出的模型的受试者工作特征曲线下面积汇总值为 0.74。当脓毒症相关性心肌功能障碍通过低左心室射血分数和异常整体纵向应变来定义时,模型特征相似。

结论

一种新的儿科脓毒症生物标志物风险模型基于生物标志物的模型可以可靠地估计儿科脓毒性休克患者脓毒症相关性心肌功能障碍的风险,但需要进行独立的前瞻性验证。

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