Suppr超能文献

了解肺炎和脓毒症中的炎性细胞因子反应:脓毒症基因与炎性标志物(GenIMS)研究结果

Understanding the inflammatory cytokine response in pneumonia and sepsis: results of the Genetic and Inflammatory Markers of Sepsis (GenIMS) Study.

作者信息

Kellum John A, Kong Lan, Fink Mitchell P, Weissfeld Lisa A, Yealy Donald M, Pinsky Michael R, Fine Jonathan, Krichevsky Alexander, Delude Russell L, Angus Derek C

机构信息

Department of Critical Care Medicine, University of Pittsburgh School of Medicine, 604 Scaife Hall, 3550 Terrace St, Pittsburgh, PA15261, USA.

出版信息

Arch Intern Med. 2007;167(15):1655-63. doi: 10.1001/archinte.167.15.1655.

Abstract

BACKGROUND

Severe sepsis is common and frequently fatal, and community-acquired pneumonia (CAP) is the leading cause. Although severe sepsis is often attributed to uncontrolled and unbalanced inflammation, evidence from humans with infection syndromes across the breadth of disease is lacking. In this study we describe the systemic cytokine response to pneumonia and determine if specific patterns, including the balance of proinflammatory and anti-inflammatory markers, are associated with severe sepsis and death.

METHODS

This is a cohort study of 1886 subjects hospitalized with CAP through the emergency departments in 28 US academic and community hospitals. We defined severe sepsis as CAP complicated by new-onset organ dysfunction, following international consensus conference criteria. We measured plasma tumor necrosis factor, IL-6 (interleukin 6), and IL-10 levels daily for the first week and weekly thereafter. Our main outcome measures were severe sepsis and 90-day mortality.

RESULTS

A total of 583 patients developed severe sepsis (31%), of whom 149 died (26%). Systemic cytokine level elevation occurred in 82% of all subjects with CAP. Mean cytokine concentrations were highest at presentation, declined rapidly over the first few days, but remained elevated throughout the first week, beyond resolution of clinical signs of infection. Cytokine levels were highest in fatal severe sepsis and lowest in CAP with no severe sepsis. Unbalanced (high/low) cytokine patterns were unusual (4.6%) and not associated with decreased survival. Highest risk of death was with combined high levels of the proinflammatory IL-6 and anti-inflammatory IL-10 cytokine activity (hazard ratio, 20.5; 95% confidence interval, 10.8-39.0) (P<.001).

CONCLUSIONS

The circulating cytokine response to pneumonia is heterogeneous and continues for more than a week after presentation, with considerable overlap between those who do and do not develop severe sepsis. Unbalanced activation is uncommon, and mortality is highest when both proinflammatory and anti-inflammatory cytokine levels are high.

摘要

背景

严重脓毒症很常见且常常致命,社区获得性肺炎(CAP)是其主要病因。尽管严重脓毒症常被归因于失控和失衡的炎症反应,但缺乏来自各种感染综合征患者的证据。在本研究中,我们描述了肺炎患者的全身细胞因子反应,并确定特定模式,包括促炎和抗炎标志物的平衡,是否与严重脓毒症及死亡相关。

方法

这是一项对1886名通过美国28家学术和社区医院急诊科因CAP住院的患者进行的队列研究。按照国际共识会议标准,我们将严重脓毒症定义为并发新发器官功能障碍的CAP。在第一周每天测量血浆肿瘤坏死因子、IL-6(白细胞介素6)和IL-10水平,此后每周测量一次。我们的主要结局指标是严重脓毒症和90天死亡率。

结果

共有583例患者发生严重脓毒症(31%),其中149例死亡(26%)。82%的CAP患者出现全身细胞因子水平升高。平均细胞因子浓度在就诊时最高,在最初几天迅速下降,但在第一周内一直保持升高,超过感染临床症状消退时间。致命性严重脓毒症患者的细胞因子水平最高,无严重脓毒症的CAP患者的细胞因子水平最低。失衡(高/低)细胞因子模式不常见(4.6%),且与生存率降低无关。死亡风险最高的是促炎IL-6和抗炎IL-10细胞因子活性均高的患者(风险比,20.5;95%置信区间,10.8 - 39.0)(P <.001)。

结论

肺炎患者的循环细胞因子反应具有异质性,在就诊后持续超过一周,发生和未发生严重脓毒症的患者之间有相当大的重叠。失衡激活不常见,促炎和抗炎细胞因子水平均高时死亡率最高。

相似文献

2
Anti-inflammatory cytokine profile and mortality in febrile patients.
Lancet. 1998 Mar 28;351(9107):950-3. doi: 10.1016/S0140-6736(05)60606-X.
6
Inflammatory markers at hospital discharge predict subsequent mortality after pneumonia and sepsis.
Am J Respir Crit Care Med. 2008 Jun 1;177(11):1242-7. doi: 10.1164/rccm.200712-1777OC. Epub 2008 Mar 27.
7
Systemic cytokine levels in community-acquired pneumonia and their association with disease severity.
Eur Respir J. 2002 Oct;20(4):990-5. doi: 10.1183/09031936.02.00295102.

引用本文的文献

1
Multiplex Targeted Proteomic Analysis of Cytokine Ratios for ICU Mortality in Severe COVID-19.
Proteomes. 2025 Aug 2;13(3):35. doi: 10.3390/proteomes13030035.
2
Is "pre-sepsis" the new sepsis? A narrative review.
PLoS Pathog. 2025 Jul 31;21(7):e1013372. doi: 10.1371/journal.ppat.1013372. eCollection 2025 Jul.
3
Corticosteroids for treating sepsis in children and adults.
Cochrane Database Syst Rev. 2025 Jun 5;6(6):CD002243. doi: 10.1002/14651858.CD002243.pub5.
6
Proinflammatory Cytokines in Chronic Respiratory Diseases and Their Management.
Cells. 2025 Mar 9;14(6):400. doi: 10.3390/cells14060400.
7
Hemoadsorption in septic shock - PRO.
Intensive Care Med. 2025 Feb 24. doi: 10.1007/s00134-025-07834-z.
8
The use of machine learning based models to predict the severity of community acquired pneumonia in hospitalised patients: A systematic review.
J Intensive Care Soc. 2025 Feb 3;26(2):237-248. doi: 10.1177/17511437251315319. eCollection 2025 May.
9
A 5-transcript signature for discriminating viral and bacterial etiology in pediatric pneumonia.
iScience. 2025 Jan 4;28(2):111747. doi: 10.1016/j.isci.2025.111747. eCollection 2025 Feb 21.

本文引用的文献

1
Cytokine storm in a phase 1 trial of the anti-CD28 monoclonal antibody TGN1412.
N Engl J Med. 2006 Sep 7;355(10):1018-28. doi: 10.1056/NEJMoa063842. Epub 2006 Aug 14.
2
Sepsis in European intensive care units: results of the SOAP study.
Crit Care Med. 2006 Feb;34(2):344-53. doi: 10.1097/01.ccm.0000194725.48928.3a.
4
Hydrocortisone infusion for severe community-acquired pneumonia: a preliminary randomized study.
Am J Respir Crit Care Med. 2005 Feb 1;171(3):242-8. doi: 10.1164/rccm.200406-808OC. Epub 2004 Nov 19.
7
2001 SCCM/ESICM/ACCP/ATS/SIS International Sepsis Definitions Conference.
Crit Care Med. 2003 Apr;31(4):1250-6. doi: 10.1097/01.CCM.0000050454.01978.3B.
8
A tobit variance-component method for linkage analysis of censored trait data.
Am J Hum Genet. 2003 Mar;72(3):611-20. doi: 10.1086/367924. Epub 2003 Feb 13.
9
Surviving intensive care: a report from the 2002 Brussels Roundtable.
Intensive Care Med. 2003 Mar;29(3):368-77. doi: 10.1007/s00134-002-1624-8. Epub 2003 Jan 21.
10
The pathophysiology and treatment of sepsis.
N Engl J Med. 2003 Jan 9;348(2):138-50. doi: 10.1056/NEJMra021333.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验