• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

评估细胞因子对危重症儿科患者器官损伤的预测作用:一项回顾性研究。

The evaluation of cytokines in predicting the organ injury of critically pediatric patients: a retrospective study.

作者信息

Zhu Ruixin, Cao Lu, Wu Tianyi, Zhang Zizhen, Han Meilin, Liu Huaqing, Huang Saihu, Bai Zhenjiang, Wu Shuiyan

机构信息

Pediatric Intensive Care Unit, Children's Hospital of Soochow University, Suzhou, China.

Soochow University, Suzhou, China.

出版信息

Transl Pediatr. 2024 Jul 31;13(7):1169-1178. doi: 10.21037/tp-24-95. Epub 2024 Jul 25.

DOI:10.21037/tp-24-95
PMID:39144435
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11320001/
Abstract

BACKGROUND

The current early warning model for organ damage in critically ill patients has certain limitations. Based on the pathological mechanism, the establishment of an early warning system for organ damage in critically ill children using cytokines profile has not been explored. The aim of this study is to explore the predicting value of cytokines in critically ill patients.

METHODS

There were 200 critically pediatric patients and 49 general patients between August 22, 2018 and April 28, 2023 from Children's Hospital of Soochow University enrolled in this study. The clinical information was retrospectively collected and analyzed. The cytokine profiles of these patients were detected by flow cytometry. Receiver operating characteristic (ROC) curves were plotted to determine the association between the cytokines and organ injury.

RESULTS

There were no statistically significant differences in gender, age and underlying disease between critically ill patients and general patients. The interleukin (IL)-6 (P<0.001), IL-10 (P<0.001), IL-17A (P=0.001), tumor necrosis factor-α (TNF-α) (P=0.02) and interferon-γ (IFN-γ) (P=0.02) level in the critically patients were significantly higher than those in the general patients. The results showed that the incidence of acute gastrointestinal injury (AGI) and acute kidney injury (AKI) in critically ill patients was 39% and 23.5%, respectively. Moreover, there were 4% and 3.5% patients with the occurrence of cardiac arrest and acute live injury. The IFN-γ level was increased in these patients with acute liver injury compared to those without these organ injuries, but reduced in the patients with AGI compared to those without. The patients with AKI showed a significant increase in IL-10 in contrast to those without. The IL-2, IL-4, IL-6, IL-10 and IL-17A were higher in patients with acute liver failure (ALF), but TNF-α was reduced, compared to those without. The IL-2, IL-4, IL-6 and IL-10 were significantly increased in the patients with cardiac arrest compared to those without. When IL-10 was higher than 279.45 pg/mL, the sensitivity and specificity for predicting cardiac arrest were 0.875 and 0.927, respectively. While the sensitivity and specificity of IL-6 (more than 1,425.6 pg/mL) were 0.625 and 0.844, respectively. However, no synergistic effect of IL-6 and IL-10 was observed for predicting cardiac arrest. Additionally, the IL-17A (more than 21.6 pg/mL) was a good predictor for the incidence of ALF (sensitivity =0.714, specificity =0.876).

CONCLUSIONS

The cytokines profile was different between critically ill patients with organ injury and those without organ injury. The IL-6 and IL-10 levels were good predictors for cardiac arrest in critically ill patients. Additionally, higher IL-17A predicted the incidence of ALF of the critically ill patients.

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e1f/11320001/b0330859284e/tp-13-07-1169-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e1f/11320001/bcb73124361a/tp-13-07-1169-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e1f/11320001/b0330859284e/tp-13-07-1169-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e1f/11320001/bcb73124361a/tp-13-07-1169-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e1f/11320001/b0330859284e/tp-13-07-1169-f2.jpg
摘要

背景

目前危重症患者器官损伤的早期预警模型存在一定局限性。基于病理机制,利用细胞因子谱建立危重症儿童器官损伤早期预警系统的研究尚未开展。本研究旨在探讨细胞因子在危重症患者中的预测价值。

方法

选取2018年8月22日至2023年4月28日苏州大学附属儿童医院的200例危重症儿科患者和49例普通患者纳入本研究。回顾性收集并分析临床资料。采用流式细胞术检测这些患者的细胞因子谱。绘制受试者工作特征(ROC)曲线以确定细胞因子与器官损伤之间的关联。

结果

危重症患者与普通患者在性别、年龄和基础疾病方面无统计学显著差异。危重症患者的白细胞介素(IL)-6(P<0.001)、IL-10(P<0.001)、IL-17A(P=0.001)、肿瘤坏死因子-α(TNF-α)(P=0.02)和干扰素-γ(IFN-γ)(P=0.02)水平显著高于普通患者。结果显示,危重症患者急性胃肠损伤(AGI)和急性肾损伤(AKI)的发生率分别为39%和23.5%。此外,有4%和3.5%的患者发生心脏骤停和急性肝损伤。与未发生这些器官损伤的患者相比,急性肝损伤患者的IFN-γ水平升高,但与未发生AGI的患者相比降低。与未发生AKI的患者相比,发生AKI的患者IL-10显著升高。与未发生急性肝衰竭(ALF)的患者相比,发生ALF的患者IL-2、IL-4、IL-6、IL-10和IL-17A升高,但TNF-α降低。与未发生心脏骤停的患者相比,发生心脏骤停的患者IL-2、IL-4、IL-6和IL-10显著升高。当IL-10高于279.45 pg/mL时,预测心脏骤停的敏感性和特异性分别为0.875和0.927。而IL-6(高于1425.6 pg/mL)的敏感性和特异性分别为0.625和0.844。然而,未观察到IL-6和IL-10对预测心脏骤停的协同作用。此外,IL-17A(高于21.6 pg/mL)是ALF发生率的良好预测指标(敏感性=0.714,特异性=0.876)。

结论

发生器官损伤的危重症患者与未发生器官损伤的危重症患者的细胞因子谱不同。IL-6和IL-10水平是危重症患者心脏骤停的良好预测指标。此外,较高的IL-17A可预测危重症患者ALF的发生率。

相似文献

1
The evaluation of cytokines in predicting the organ injury of critically pediatric patients: a retrospective study.评估细胞因子对危重症儿科患者器官损伤的预测作用:一项回顾性研究。
Transl Pediatr. 2024 Jul 31;13(7):1169-1178. doi: 10.21037/tp-24-95. Epub 2024 Jul 25.
2
[Clinical significance of acute gastrointestinal injury grades in inflammatory response of critically ill patients].[急性胃肠损伤分级在危重症患者炎症反应中的临床意义]
Zhonghua Yi Xue Za Zhi. 2017 Nov 14;97(42):3312-3315. doi: 10.3760/cma.j.issn.0376-2491.2017.42.008.
3
Acute gastrointestinal injury in critically ill patients with COVID-19 in Wuhan, China.中国武汉 COVID-19 危重症患者的急性胃肠损伤。
World J Gastroenterol. 2020 Oct 21;26(39):6087-6097. doi: 10.3748/wjg.v26.i39.6087.
4
Early Diagnosis and Prognostic Value of Acute Kidney Injury in Critically Ill Patients.危重症患者急性肾损伤的早期诊断及预后价值。
Medicina (Kaunas). 2019 Aug 20;55(8):506. doi: 10.3390/medicina55080506.
5
Persistent lymphocyte reduction and interleukin-6 levels are independently associated with death in patients with COVID-19.持续性淋巴细胞减少和白细胞介素 6 水平与 COVID-19 患者的死亡独立相关。
Clin Exp Med. 2023 Nov;23(7):3719-3728. doi: 10.1007/s10238-023-01114-0. Epub 2023 Jun 13.
6
Prognostic Value of Acute Gastrointestinal Injury Combined with Disease Severity Scores in Critically Ill Patients.急性胃肠损伤联合疾病严重程度评分在危重症患者中的预后价值
Indian J Crit Care Med. 2024 Jun;28(6):575-580. doi: 10.5005/jp-journals-10071-24733.
7
[Predictive value of four pediatric scores of critical illness and mortality on evaluating mortality risk in pediatric critical patients].[四种儿科危重症评分及死亡率对评估儿科危重症患者死亡风险的预测价值]
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue. 2018 Jan;30(1):51-56. doi: 10.3760/cma.j.issn.2095-4352.2018.01.010.
8
[Establishment of multiple organ dysfunction syndrome early warning score in patients with severe trauma and its clinical significance: a multicenter study].[严重创伤患者多器官功能障碍综合征预警评分的建立及其临床意义:一项多中心研究]
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue. 2018 Jan;30(1):41-46. doi: 10.3760/cma.j.issn.2095-4352.2018.01.008.
9
Longitudinal correlation of biomarkers of cardiac injury, inflammation, and coagulation to outcome in hospitalized COVID-19 patients.在住院的 COVID-19 患者中,心脏损伤、炎症和凝血生物标志物与结局的纵向相关性。
J Mol Cell Cardiol. 2020 Oct;147:74-87. doi: 10.1016/j.yjmcc.2020.08.008. Epub 2020 Aug 20.
10
Cytokine Levels in Critically Ill Children With Severe Sepsis and Their Relation With the Severity of Illness and Mortality.危重症严重脓毒症患儿细胞因子水平及其与疾病严重程度和死亡率的关系。
J Intensive Care Med. 2021 May;36(5):576-583. doi: 10.1177/0885066620912989. Epub 2020 Mar 24.

引用本文的文献

1
Multiplex Targeted Proteomic Analysis of Cytokine Ratios for ICU Mortality in Severe COVID-19.用于重症新型冠状病毒肺炎患者重症监护病房死亡率的细胞因子比值多重靶向蛋白质组学分析
Proteomes. 2025 Aug 2;13(3):35. doi: 10.3390/proteomes13030035.

本文引用的文献

1
[Relationship between cardiac output, heart rate and microcirculation in patients with multiorgan dysfunction syndrome].多器官功能障碍综合征患者的心输出量、心率与微循环的关系
Med Klin Intensivmed Notfmed. 2024 Oct;119(7):538-545. doi: 10.1007/s00063-023-01086-9. Epub 2023 Dec 1.
2
PCT, IL-6, and IL-10 facilitate early diagnosis and pathogen classifications in bloodstream infection.降钙素原(PCT)、白细胞介素 6(IL-6)和白细胞介素 10(IL-10)有助于早期诊断血流感染并进行病原体分类。
Ann Clin Microbiol Antimicrob. 2023 Nov 20;22(1):103. doi: 10.1186/s12941-023-00653-4.
3
High Levels of IL-1β, TNF-α and MIP-1α One Month after the Onset of the Acute SARS-CoV-2 Infection, Predictors of Post COVID-19 in Hospitalized Patients.
急性SARS-CoV-2感染发病后一个月,IL-1β、TNF-α和MIP-1α水平升高,是住院患者新冠后症状的预测指标。
Microorganisms. 2023 Sep 26;11(10):2396. doi: 10.3390/microorganisms11102396.
4
Oxygen Debt as Predictor of Mortality and Multiple Organ Dysfunction Syndrome in Severe COVID-19 Patients: A Retrospective Study.氧气债作为严重 COVID-19 患者死亡率和多器官功能障碍综合征的预测指标:一项回顾性研究。
J Intensive Care Med. 2024 Apr;39(4):358-367. doi: 10.1177/08850666231208433. Epub 2023 Oct 24.
5
Initial indicators for the prognosis of Acinetobacter Baumannii bacteremia in children.儿童鲍曼不动杆菌菌血症预后的初步指标。
BMC Infect Dis. 2023 Sep 29;23(1):640. doi: 10.1186/s12879-023-08639-5.
6
Transcriptomic profiles of multiple organ dysfunction syndrome phenotypes in pediatric critical influenza.儿童危重症流感中多器官功能障碍综合征表型的转录组特征
Front Immunol. 2023 Jul 18;14:1220028. doi: 10.3389/fimmu.2023.1220028. eCollection 2023.
7
Over-expression of programmed death-ligand 1 and programmed death-1 on antigen-presenting cells as a predictor of organ dysfunction and mortality during early sepsis: a prospective cohort study.抗原呈递细胞上程序性死亡配体1和程序性死亡1的过表达作为早期脓毒症期间器官功能障碍和死亡率的预测指标:一项前瞻性队列研究
World J Emerg Med. 2023;14(3):179-185. doi: 10.5847/wjem.j.1920-8642.2023.041.
8
Evaluating IL-6 and IL-10 as rapid diagnostic tools for Gram-negative bacteria and as disease severity predictors in pediatric sepsis patients in the intensive care unit.评估 IL-6 和 IL-10 作为革兰氏阴性菌的快速诊断工具,并作为重症监护病房中儿科脓毒症患者疾病严重程度的预测指标。
Front Immunol. 2022 Dec 5;13:1043968. doi: 10.3389/fimmu.2022.1043968. eCollection 2022.
9
Cytokine Storm-Definition, Causes, and Implications.细胞因子风暴-定义、原因及影响。
Int J Mol Sci. 2022 Oct 3;23(19):11740. doi: 10.3390/ijms231911740.
10
Clinically Interpretable Machine Learning Models for Early Prediction of Mortality in Older Patients with Multiple Organ Dysfunction Syndrome: An International Multicenter Retrospective Study.临床可解释的机器学习模型用于预测多器官功能障碍综合征老年患者的早期死亡率:一项国际多中心回顾性研究。
J Gerontol A Biol Sci Med Sci. 2023 Mar 30;78(4):718-726. doi: 10.1093/gerona/glac107.