• 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

循环T淋巴细胞亚群作为鉴定脓毒症诱导的急性肾损伤的有前景的生物标志物。

Circulating T-lymphocyte subsets as promising biomarkers for the identification of sepsis-induced acute kidney injury.

作者信息

Guo Xue-Ling, Lu Cheng-Xiang, Luo Yan, Wang Ping-Ping, Su Wen-Song, Yang Si-Jiu, Zhan Ling-Hui

机构信息

Department of Critical Care Medicine, Zhongshan Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian, China.

The School of Clinical Medicine, Fujian Medical University, Fuzhou, Fujian, China.

出版信息

J Chin Med Assoc. 2024 Dec 1;87(12):1068-1077. doi: 10.1097/JCMA.0000000000001177. Epub 2024 Oct 4.

DOI:10.1097/JCMA.0000000000001177
PMID:39363312
Abstract

BACKGROUND

This retrospective study investigated whether disturbances in circulating T-lymphocyte subsets could predict the incidence of acute kidney injury (AKI) and in-hospital mortality in patients with sepsis.

METHODS

Clinical data from patients with sepsis admitted to the intensive care unit were reviewed. Logistic regression analyses were used to identify independent predictors of in-hospital mortality and the development of AKI.

RESULTS

Of 81 patients with sepsis, 50 developed AKI. Both nonsurvivors and patients with septic AKI exhibited higher Sequential Organ Failure Assessment (SOFA) and Acute Physiology and Chronic Health Evaluation (APACHE) II scores. Nonsurvivors exhibited more organ damage, with significantly lower levels of peripheral T-lymphocyte subsets, including total circulating lymphocytes, and CD3 + , CD3 + CD4 + , and CD3 + CD8 + T-lymphocytes. Patients with septic AKI exhibited fewer total peripheral lymphocytes and fewer CD3 + , CD3 + CD4 + , and CD3 + CD8 + T-lymphocytes, with higher serum lactate levels and lower nadir platelet counts. Independent predictors of 30-day hospital mortality included maximum SOFA and APACHE II scores, occurrence of encephalopathy, and peripheral CD3 + and CD3 + CD8 + T-lymphocyte counts. Moreover, the maximum SOFA score and CD3 + and CD3 + CD8 + T-lymphocyte counts demonstrated good predictive power for AKI in receiver operating characteristic (ROC) curve analyses, with an area under the ROC curve of 0.810 (95% confidence interval [CI], 0.712-0.908) for SOFA score, 0.849 (95% CI, 0.764-0.934) for CD3 + T-lymphocytes, and 0.856 (95% CI, 0.772-0.941) for CD3 + CD8 + T-lymphocytes.

CONCLUSION

Patients with sepsis-induced AKI experienced T lymphopenia and increased in-hospital mortality. Higher maximum SOFA scores and reduced peripheral CD3 + and CD3 + CD8 + T-lymphocyte levels were associated with in-hospital mortality and the development of AKI in patients with sepsis.

摘要

背景

这项回顾性研究调查了循环T淋巴细胞亚群紊乱是否可预测脓毒症患者急性肾损伤(AKI)的发生率及住院死亡率。

方法

回顾了重症监护病房收治的脓毒症患者的临床资料。采用逻辑回归分析确定住院死亡率及AKI发生的独立预测因素。

结果

81例脓毒症患者中,50例发生了AKI。非存活者和脓毒症相关性AKI患者的序贯器官衰竭评估(SOFA)和急性生理与慢性健康状况评分系统(APACHE)II评分均更高。非存活者的器官损害更多,外周T淋巴细胞亚群水平显著更低,包括循环淋巴细胞总数以及CD3 +、CD3 + CD4 +和CD3 + CD8 + T淋巴细胞。脓毒症相关性AKI患者的外周淋巴细胞总数及CD3 +、CD3 + CD4 +和CD3 + CD8 + T淋巴细胞更少,血清乳酸水平更高,最低血小板计数更低。30天住院死亡率的独立预测因素包括最高SOFA评分和APACHE II评分、脑病的发生以及外周CD3 +和CD3 + CD8 + T淋巴细胞计数。此外,在受试者工作特征(ROC)曲线分析中,最高SOFA评分以及CD3 +和CD3 + CD8 + T淋巴细胞计数对AKI具有良好的预测能力,SOFA评分的ROC曲线下面积为0.810(95%置信区间[CI],0.712 - 0.908),CD3 + T淋巴细胞为0.849(95%CI,0.764 - 0.934),CD3 + CD8 + T淋巴细胞为0.856(95%CI,0.772 - 0.941)。

结论

脓毒症诱导的AKI患者出现T淋巴细胞减少及住院死亡率增加。脓毒症患者中,更高水平的最高SOFA评分以及更低的外周CD3 +和CD3 + CD8 + T淋巴细胞水平与住院死亡率及AKI的发生相关。

相似文献

1
Circulating T-lymphocyte subsets as promising biomarkers for the identification of sepsis-induced acute kidney injury.循环T淋巴细胞亚群作为鉴定脓毒症诱导的急性肾损伤的有前景的生物标志物。
J Chin Med Assoc. 2024 Dec 1;87(12):1068-1077. doi: 10.1097/JCMA.0000000000001177. Epub 2024 Oct 4.
2
[Predictive value of inflammatory indicator and serum cystatin C for the prognosis of patients with sepsis-associated acute kidney injury].炎症指标及血清胱抑素C对脓毒症相关性急性肾损伤患者预后的预测价值
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue. 2025 Mar;37(3):275-279. doi: 10.3760/cma.j.cn121430-20240908-00759.
3
Unveiling the role of sTLR2: A novel biomarker for predicting septic-associated AKI.揭示 sTLR2 的作用:预测脓毒症相关 AKI 的新型生物标志物。
Cytokine. 2024 Dec;184:156798. doi: 10.1016/j.cyto.2024.156798. Epub 2024 Nov 1.
4
A combination of SOFA score and biomarkers gives a better prediction of septic AKI and in-hospital mortality in critically ill surgical patients: a pilot study.SOFA 评分与生物标志物联合应用可更好地预测重症外科患者脓毒症急性肾损伤和住院病死率:一项初步研究。
World J Emerg Surg. 2018 Sep 10;13:41. doi: 10.1186/s13017-018-0202-5. eCollection 2018.
5
Platelet distribution width as a cost-effective marker for sepsis-associated acute kidney injury: A retrospective cross-section study.血小板分布宽度作为脓毒症相关急性肾损伤的一种经济有效的标志物:一项回顾性横断面研究。
PLoS One. 2025 May 13;20(5):e0321639. doi: 10.1371/journal.pone.0321639. eCollection 2025.
6
[A multicenter clinical study of critically ill patients with sepsis complicated with acute kidney injury in Beijing: incidence, clinical characteristics and outcomes].北京地区脓毒症合并急性肾损伤危重症患者的多中心临床研究:发病率、临床特征及预后
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue. 2024 Jun;36(6):567-573. doi: 10.3760/cma.j.cn121430-20240210-00124.
7
[Clinical value of renal artery resistance index and urinary angiotensinogen in early diagnosis of acute kidney injury in patients with sepsis].肾动脉阻力指数与尿血管紧张素原在脓毒症患者急性肾损伤早期诊断中的临床价值
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue. 2022 Nov;34(11):1183-1187. doi: 10.3760/cma.j.cn121430-20220302-00194.
8
[Clinical characteristics of elderly patients with sepsis and development and evaluation of death risk assessment scale].[老年脓毒症患者的临床特征及死亡风险评估量表的研制与评价]
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue. 2025 Jan;37(1):17-22. doi: 10.3760/cma.j.cn121430-20240103-00009.
9
Can neutrophil-lymphocyte ratio be independent risk factor for predicting acute kidney injury in patients with severe sepsis?中性粒细胞与淋巴细胞比值能否作为预测严重脓毒症患者急性肾损伤的独立危险因素?
Ren Fail. 2015 Mar;37(2):225-9. doi: 10.3109/0886022X.2014.982477. Epub 2014 Nov 14.
10
Investigate predictive capacity of in-hospital mortality of four severity score systems on critically ill patients with acute kidney injury.研究四种严重程度评分系统对急性肾损伤危重症患者院内死亡率的预测能力。
J Investig Med. 2019 Dec;67(8):1103-1109. doi: 10.1136/jim-2019-001003. Epub 2019 Oct 1.