• 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

危重症贫血脓毒症患者血液系统失调:一项回顾性队列研究。

Hematologic System Dysregulation in Critically Ill Septic Patients with Anemia-A Retrospective Cohort Study.

机构信息

Department of Anaesthesiology and Intensive Care, Faculty of Medical Sciences in Katowice, Medical University of Silesia, 40-752 Katowice, Poland.

Students' Scientific Society, Department of Anaesthesiology and Intensive Care, Faculty of Medical Sciences in Katowice, Medical University of Silesia, 40-752 Katowice, Poland.

出版信息

Int J Environ Res Public Health. 2022 May 29;19(11):6626. doi: 10.3390/ijerph19116626.

DOI:10.3390/ijerph19116626
PMID:35682209
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9180773/
Abstract

Sepsis can affect various organs as well as the hematologic system. Systemic dysregulation, present in sepsis, affects particularly red blood cells (RBCs). One of the widely available RBC indices is RBC distribution width (RDW). Sepsis may also affect hemostasis, with septic patients presenting with coagulopathy or disseminated intravascular coagulation. The aim of our study was to analyze the impact of sepsis on RBC indices and coagulation parameters on admission to the intensive care unit (ICU) and their association with presence of sepsis and sepsis outcomes in anemic critically ill patients. We performed a retrospective observational study covering consecutive patients admitted to a 10-bed mixed ICU in the years 2020−2021. We found significant differences between septic and non-septic patients for the following parameters: RDW (p = 0.02), INR (p < 0.01), aPTT (p < 0.01), D-dimers (p < 0.01), fibrinogen (p = 0.02), platelets (p = 0.04). International normalized ratio was the only parameter with adequate sepsis predictive value (AUROC = 0.70; 95% CI 0.63−0.76; p < 0.01), with an optimal cut-off value of >1.21. Combination of INR with fibrinogen and a severity of disease score improved INR’s predictive value (AUROC 0.74−0.77). Combination of INR with a severity of disease score was an adequate ICU mortality predictor in septic patients (AUROC 0.70−0.75). Sepsis significantly affects RDW and most coagulation parameters. Increased INR can be used for sepsis screening, whereas combination of INR with a severity of disease score can be a predictor of short-term mortality in septic patients.

摘要

败血症可影响多个器官和血液系统。败血症中的全身失调特别影响红细胞(RBC)。RBC 分布宽度(RDW)是广泛可用的 RBC 指标之一。败血症也可能影响止血,败血症患者表现出凝血功能障碍或弥漫性血管内凝血。我们的研究目的是分析败血症对入院时 ICU 中 RBC 指数和凝血参数的影响,以及它们与贫血危重症患者败血症和败血症结局的相关性。我们进行了一项回顾性观察研究,涵盖了 2020-2021 年入住 10 张混合 ICU 的连续患者。我们发现败血症和非败血症患者在以下参数方面存在显著差异:RDW(p=0.02)、INR(p<0.01)、aPTT(p<0.01)、D-二聚体(p<0.01)、纤维蛋白原(p=0.02)、血小板(p=0.04)。INR 是唯一具有足够败血症预测价值的参数(AUROC=0.70;95%CI 0.63-0.76;p<0.01),最佳截断值为>1.21。INR 与纤维蛋白原和疾病严重程度评分的组合提高了 INR 的预测价值(AUROC 0.74-0.77)。INR 与疾病严重程度评分的组合是败血症患者 ICU 死亡率的合适预测因子(AUROC 0.70-0.75)。败血症显著影响 RDW 和大多数凝血参数。INR 升高可用于败血症筛查,而 INR 与疾病严重程度评分的组合可预测败血症患者的短期死亡率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d06c/9180773/62aa37379a8f/ijerph-19-06626-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d06c/9180773/39de8d5a64e5/ijerph-19-06626-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d06c/9180773/62aa37379a8f/ijerph-19-06626-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d06c/9180773/39de8d5a64e5/ijerph-19-06626-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d06c/9180773/62aa37379a8f/ijerph-19-06626-g002.jpg

相似文献

1
Hematologic System Dysregulation in Critically Ill Septic Patients with Anemia-A Retrospective Cohort Study.危重症贫血脓毒症患者血液系统失调:一项回顾性队列研究。
Int J Environ Res Public Health. 2022 May 29;19(11):6626. doi: 10.3390/ijerph19116626.
2
Critical issues in hematology: anemia, thrombocytopenia, coagulopathy, and blood product transfusions in critically ill patients.血液学中的关键问题:危重症患者的贫血、血小板减少症、凝血病及血液制品输注
Clin Chest Med. 2003 Dec;24(4):607-22. doi: 10.1016/s0272-5231(03)00100-x.
3
Routine coagulation tests on ICU admission are associated with mortality in sepsis: an observational study.ICU入院时的常规凝血检查与脓毒症死亡率相关:一项观察性研究。
Acta Anaesthesiol Scand. 2017 Aug;61(7):790-796. doi: 10.1111/aas.12918.
4
Sepsis-associated coagulopathy in onco-hematology patients presenting with thrombocytopenia: a multicentric observational study.伴有血小板减少的肿瘤血液学患者的脓毒症相关性凝血病:一项多中心观察性研究。
Leuk Lymphoma. 2023 Jan;64(1):197-204. doi: 10.1080/10428194.2022.2136971. Epub 2022 Oct 28.
5
Diagnostic and Prognostic Significance of the Prothrombin Time/International Normalized Ratio in Sepsis and Septic Shock.凝血酶原时间/国际标准化比值在脓毒症和感染性休克中的诊断和预后意义。
Clin Appl Thromb Hemost. 2022 Jan-Dec;28:10760296221137893. doi: 10.1177/10760296221137893.
6
The reduced form of coagulation factor XI is associated with illness severity and coagulopathy in critically-ill septic patients.凝血因子 XI 的简化形式与危重症脓毒症患者的疾病严重程度和凝血病有关。
J Thromb Thrombolysis. 2019 Feb;47(2):186-191. doi: 10.1007/s11239-018-1797-9.
7
Red blood cell distribution width predicts long-term outcomes in sepsis patients admitted to the intensive care unit.红细胞分布宽度可预测入住重症监护病房的脓毒症患者的长期预后。
Clin Chim Acta. 2018 Dec;487:112-116. doi: 10.1016/j.cca.2018.09.019. Epub 2018 Sep 12.
8
Thromboelastography as a tool for monitoring blood coagulation dysfunction after adequate fluid resuscitation can predict poor outcomes in patients with septic shock.血栓弹力描记术作为一种监测充分液体复苏后凝血功能障碍的工具,可以预测感染性休克患者的不良预后。
J Chin Med Assoc. 2020 Jul;83(7):674-677. doi: 10.1097/JCMA.0000000000000345.
9
Thromboelastometry for the assessment of coagulation abnormalities in early and established adult sepsis: a prospective cohort study.血栓弹力图用于评估成年早期和确诊败血症患者的凝血异常:一项前瞻性队列研究。
Crit Care. 2009;13(2):R42. doi: 10.1186/cc7765. Epub 2009 Mar 30.
10
[Combined predictive value of the risk factors influencing the short-term prognosis of sepsis].[影响脓毒症短期预后的危险因素的联合预测价值]
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue. 2020 Mar;32(3):307-312. doi: 10.3760/cma.j.cn121430-20200306-00218.

引用本文的文献

1
Association of mean corpuscular volume with 28-day mortality in sepsis patients: A retrospective cohort study using eICU data.脓毒症患者平均红细胞体积与28天死亡率的关联:一项使用电子重症监护病房(eICU)数据的回顾性队列研究。
PLoS One. 2025 Apr 21;20(4):e0321213. doi: 10.1371/journal.pone.0321213. eCollection 2025.
2
Advanced biomarker clustering analysis reveals mortality predictors in burn patients with sepsis.高级生物标志物聚类分析揭示了脓毒症烧伤患者的死亡预测因子。
Sci Rep. 2024 Oct 1;14(1):22784. doi: 10.1038/s41598-024-74313-8.
3
Diagnostic and Prognostic Significance of the Prothrombin Time/International Normalized Ratio in Sepsis and Septic Shock.

本文引用的文献

1
Albumin and fibrinogen kinetics in sepsis: a prospective observational study.脓毒症中的白蛋白和纤维蛋白原动力学:一项前瞻性观察研究。
Crit Care. 2021 Dec 17;25(1):436. doi: 10.1186/s13054-021-03860-7.
2
Surviving sepsis campaign: international guidelines for management of sepsis and septic shock 2021.拯救脓毒症运动:2021年脓毒症和脓毒性休克国际管理指南
Intensive Care Med. 2021 Nov;47(11):1181-1247. doi: 10.1007/s00134-021-06506-y. Epub 2021 Oct 2.
3
Performance of D-dimer for predicting sepsis mortality in the intensive care unit.
凝血酶原时间/国际标准化比值在脓毒症和感染性休克中的诊断和预后意义。
Clin Appl Thromb Hemost. 2022 Jan-Dec;28:10760296221137893. doi: 10.1177/10760296221137893.
D-二聚体对 ICU 脓毒症患者死亡率的预测作用。
Biochem Med (Zagreb). 2021 Jun 15;31(2):020709. doi: 10.11613/BM.2021.020709.
4
Red Cell Distribution Width As a Predictor of Mortality in Patients With Sepsis.红细胞分布宽度作为脓毒症患者死亡率的预测指标
Cureus. 2021 Jan 25;13(1):e12912. doi: 10.7759/cureus.12912.
5
Consumptive coagulopathy is associated with a disturbed host response in patients with sepsis.消耗性凝血病与脓毒症患者的宿主反应紊乱有关。
J Thromb Haemost. 2021 Apr;19(4):1049-1063. doi: 10.1111/jth.15246. Epub 2021 Feb 17.
6
Platelets as a prognostic marker for sepsis: A cohort study from the MIMIC-III database.血小板作为脓毒症的预后标志物:一项来自MIMIC-III数据库的队列研究。
Medicine (Baltimore). 2020 Nov 6;99(45):e23151. doi: 10.1097/MD.0000000000023151.
7
Incidence and mortality of hospital- and ICU-treated sepsis: results from an updated and expanded systematic review and meta-analysis.医院和 ICU 治疗的脓毒症的发病率和死亡率:一项更新和扩展的系统评价和荟萃分析的结果。
Intensive Care Med. 2020 Aug;46(8):1552-1562. doi: 10.1007/s00134-020-06151-x. Epub 2020 Jun 22.
8
Diagnosis and management of sepsis-induced coagulopathy and disseminated intravascular coagulation.脓毒症诱导的凝血病和弥散性血管内凝血的诊断与管理
J Thromb Haemost. 2019 Nov;17(11):1989-1994. doi: 10.1111/jth.14578. Epub 2019 Aug 13.
9
Significance of plasma fibrinogen level and antithrombin activity in sepsis: A multicenter cohort study using a cubic spline model.血浆纤维蛋白原水平和抗凝血酶活性在脓毒症中的意义:使用三次样条模型的多中心队列研究。
Thromb Res. 2019 Sep;181:17-23. doi: 10.1016/j.thromres.2019.07.002. Epub 2019 Jul 2.
10
Prediction of sepsis patients using machine learning approach: A meta-analysis.基于机器学习的脓毒症患者预测:一项荟萃分析。
Comput Methods Programs Biomed. 2019 Mar;170:1-9. doi: 10.1016/j.cmpb.2018.12.027. Epub 2018 Dec 26.