• 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

炎症标志物在预测COVID-19死亡率中的动态变化

Dynamics of Inflammatory Markers in Predicting Mortality in COVID-19.

作者信息

Parimoo Aditi, Biswas Ashutosh, Baitha Upendra, Gupta Gaurav, Pandey Shivam, Ranjan Piyush, Gupta Vandana, Barman Roy Debarchan, Prakash Bindoo, Wig Naveet

机构信息

Department of Medicine, All India Institute of Medical Sciences, New Delhi, IND.

Department of Biostatistics, All India Institute of Medical Sciences, New Delhi, IND.

出版信息

Cureus. 2021 Oct 27;13(10):e19080. doi: 10.7759/cureus.19080. eCollection 2021 Oct.

DOI:10.7759/cureus.19080
PMID:34868744
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8629097/
Abstract

Introduction A cytokine storm is an important cause of morbidity and mortality in patients with coronavirus disease 2019 (COVID-19). The objective of the study was to determine the prognostic significance of pro-inflammatory cytokines with the overall final outcome of patients with COVID-19. Methods We conducted a retrospective study of 142 patients admitted with COVID-19 in the Department of Medicine at All India Institute of Medical Sciences, New Delhi, from May 2021 to June 2021. We obtained their demographic, clinical, and biochemical characteristics at baseline and 48-72 hours prior to the terminal event (survival/death). The data were analyzed to determine the prognostic significance of these markers on the final outcome. Results Higher levels of inflammatory markers were associated with a worse final outcome (ferritin p-value <0.001, c-reactive protein (CRP) p-value <0.001, interleukin 6 (IL-6) p-value 0.007, procalcitonin p-value 0.005, and lactic acid p-value 0.004). Optimal probability cut-offs for these markers for predicting mortality were: ferritin: 963 ng/mL (sensitivity - 67.35%, specificity - 67.50%), CRP: 66.3 mg/L (sensitivity - 78.43%, specificity - 74.12%), IL-6: 46.2 pg/mL (sensitivity - 59.26%, specificity - 59.57%), procalcitonin: 0.3ng/mL (sensitivity - 65.38 %, specificity - 66.67%), lactic acid: 1.5 mg/dL (sensitivity - 59.26%, specificity - 58.57%). Multivariate logistic regression analysis was done, which showed that pre-terminal event CRP was associated with a statistically significant higher risk of mortality (Unadjusted OR 18.89, Adjusted OR 1.008, p=0.002, 95% CI 6.815 - 47.541). Conclusion Inflammatory markers have a prognostic significance in patients with COVID-19, with higher levels being associated with worse outcomes.

摘要

引言 细胞因子风暴是2019冠状病毒病(COVID-19)患者发病和死亡的重要原因。本研究的目的是确定促炎细胞因子对COVID-19患者总体最终结局的预后意义。方法 我们对2021年5月至2021年6月在新德里全印度医学科学研究所医学部收治的142例COVID-19患者进行了回顾性研究。我们获取了他们在基线时以及终末事件(生存/死亡)前48 - 72小时的人口统计学、临床和生化特征。对数据进行分析以确定这些标志物对最终结局的预后意义。结果 较高水平的炎症标志物与较差的最终结局相关(铁蛋白p值<0.001,C反应蛋白(CRP)p值<0.001,白细胞介素6(IL-6)p值0.007,降钙素原p值0.005,乳酸p值0.004)。这些标志物预测死亡率的最佳概率截断值为:铁蛋白:963 ng/mL(敏感性 - 67.35%,特异性 - 67.50%),CRP:66.3 mg/L(敏感性 - 78.43%,特异性 - 74.12%),IL-6:46.2 pg/mL(敏感性 - 59.26%,特异性 - 59.57%),降钙素原:0.3ng/mL(敏感性 - 65.38 %,特异性 - 66.67%),乳酸:1.5 mg/dL(敏感性 - 59.26%,特异性 - 58.57%)。进行了多变量逻辑回归分析,结果显示终末事件前的CRP与统计学上显著更高的死亡风险相关(未调整的OR为18.89,调整后的OR为1.008,p = 0.002,95% CI为6.815 - 47.541)。结论 炎症标志物对COVID-19患者具有预后意义,水平越高与结局越差相关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/907f/8629097/474f8ee86b6e/cureus-0013-00000019080-i01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/907f/8629097/474f8ee86b6e/cureus-0013-00000019080-i01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/907f/8629097/474f8ee86b6e/cureus-0013-00000019080-i01.jpg

相似文献

1
Dynamics of Inflammatory Markers in Predicting Mortality in COVID-19.炎症标志物在预测COVID-19死亡率中的动态变化
Cureus. 2021 Oct 27;13(10):e19080. doi: 10.7759/cureus.19080. eCollection 2021 Oct.
2
[Combined prognostic value of serum lactic acid, procalcitonin and severity score for short-term prognosis of septic shock patients].[血清乳酸、降钙素原及严重程度评分对脓毒症休克患者短期预后的联合预测价值]
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue. 2021 Mar;33(3):281-285. doi: 10.3760/cma.j.cn121430-20201113-00715.
3
Increased levels of ferritin on admission predicts intensive care unit mortality in patients with COVID-19.入院时铁蛋白水平升高可预测 COVID-19 患者的重症监护病房死亡率。
Med Clin (Barc). 2021 Apr 9;156(7):324-331. doi: 10.1016/j.medcli.2020.11.030. Epub 2020 Dec 25.
4
Association of Inflammatory Markers with COVID-19 Outcome among Hospitalized Patients: Experience from a Tertiary Healthcare Center in Western India.住院患者中炎症标志物与COVID-19结局的关联:来自印度西部一家三级医疗中心的经验
Maedica (Bucur). 2021 Dec;16(4):620-627. doi: 10.26574/maedica.2021.16.4.620.
5
Prognosis of COVID-19: Red Cell Distribution Width, Platelet Distribution Width, and C-Reactive Protein.新型冠状病毒肺炎的预后:红细胞分布宽度、血小板分布宽度和C反应蛋白
Cureus. 2021 Feb 2;13(2):e13078. doi: 10.7759/cureus.13078.
6
The predictive value of epicardial fat volume for clinical severity of COVID-19.心外膜脂肪体积对新型冠状病毒肺炎临床严重程度的预测价值。
Rev Port Cardiol. 2022 Sep;41(9):729-737. doi: 10.1016/j.repc.2021.05.016. Epub 2022 Apr 29.
7
A Combination of Inflammatory and Hematological Markers is Strongly Associated with the Risk of Death in Both Mild and Severe Initial Disease in Unvaccinated Individuals with COVID-19 Infection.炎症和血液学标志物的组合与未接种疫苗的新冠病毒感染个体中轻症和重症初始疾病的死亡风险密切相关。
EJIFCC. 2023 Apr 18;34(1):42-56. eCollection 2023 Apr.
8
[Relationship between D-dimer concentration and inflammatory factors or organ function in patients with coronavirus disease 2019].2019冠状病毒病患者D-二聚体浓度与炎症因子或器官功能的关系
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue. 2020 May;32(5):559-563. doi: 10.3760/cma.j.cn121430-20200414-00518.
9
Analysis of Biochemical and Inflammatory Markers for Predicting COVID-19 Severity: Insights From a Tertiary Healthcare Institution of Eastern India.用于预测新冠病毒疾病严重程度的生化和炎症标志物分析:来自印度东部一家三级医疗机构的见解
Cureus. 2023 Jan 17;15(1):e33893. doi: 10.7759/cureus.33893. eCollection 2023 Jan.
10
Assessing the Impact of Inflammatory Markers and CT Severity Score on Disease Severity of COVID-19 Patients Admitted to ICU at a Tertiary Hospital.评估炎症标志物和 CT 严重程度评分对入住三级医院 ICU 的 COVID-19 患者疾病严重程度的影响。
J Assoc Physicians India. 2021 Jun;69(6):11-12.

引用本文的文献

1
Severity-specific immune landscape of COVID-19 revealed by single-cell sequencing.单细胞测序揭示的COVID-19严重程度特异性免疫图谱
Sci Rep. 2025 Aug 12;15(1):29596. doi: 10.1038/s41598-025-13888-2.
2
Macrophage Activation Syndrome in Coinciding Pandemics of Obesity and COVID-19: Worse than Bad.肥胖症与 COVID-19 大流行并发时的巨噬细胞活化综合征:雪上加霜。
Adv Exp Med Biol. 2024;1460:919-954. doi: 10.1007/978-3-031-63657-8_31.
3
Religiosity and Health Outcomes in a Cohort of Romanian Patients Hospitalized for COVID-19.一组因新冠肺炎住院的罗马尼亚患者的宗教信仰与健康结果

本文引用的文献

1
Attenuating the Effects of Novel COVID-19 (SARS-CoV-2) Infection-Induced Cytokine Storm and the Implications.减轻新型冠状病毒肺炎(SARS-CoV-2)感染诱导的细胞因子风暴的影响及其意义
J Inflamm Res. 2021 Apr 16;14:1487-1510. doi: 10.2147/JIR.S301784. eCollection 2021.
2
Ferritin is associated with the severity of lung involvement but not with worse prognosis in patients with COVID-19: data from two Italian COVID-19 units.铁蛋白与 COVID-19 患者肺部受累的严重程度相关,但与预后不良无关:来自意大利两个 COVID-19 单位的数据。
Sci Rep. 2021 Mar 1;11(1):4863. doi: 10.1038/s41598-021-83831-8.
3
Inflammatory markers as predictors of mortality in COVID-19 infection.
J Relig Health. 2025 Feb;64(1):672-684. doi: 10.1007/s10943-024-02120-6. Epub 2024 Sep 10.
4
Platelet Indices as Novel Surrogate Markers for the Prognosis of COVID-19 Infection: An Observational Study.血小板指标作为新型替代标志物用于预测新型冠状病毒肺炎感染的预后:一项观察性研究
Cureus. 2024 Jun 12;16(6):e62243. doi: 10.7759/cureus.62243. eCollection 2024 Jun.
5
Quantitative Computed Tomography Lung COVID Scores with Laboratory Markers: Utilization to Predict Rapid Progression and Monitor Longitudinal Changes in Patients with Coronavirus 2019 (COVID-19) Pneumonia.定量计算机断层扫描肺COVID评分与实验室指标:用于预测2019冠状病毒病(COVID-19)肺炎患者的快速进展并监测其纵向变化
Biomedicines. 2024 Jan 6;12(1):120. doi: 10.3390/biomedicines12010120.
6
Variant Genotype Affects the Risk of Developing Severe Forms of COVID-19.变异基因型会影响 COVID-19 重症形式的发病风险。
Int J Mol Sci. 2023 Nov 10;24(22):16151. doi: 10.3390/ijms242216151.
7
Being Eaten Alive: How Energy-Deprived Cells Are Disposed of, Mediated by C-Reactive Protein-Including a Treatment Option.被活活吞噬:能量匮乏的细胞如何被清除,由包括治疗方案在内的C反应蛋白介导。
Biomedicines. 2023 Aug 16;11(8):2279. doi: 10.3390/biomedicines11082279.
8
Home-based exercise alters pulmonary function and cellular stress markers in overweight middle-aged men during covid-19 Home quarantine.居家锻炼可改变新冠疫情居家隔离期间超重中年男性的肺功能和细胞应激标志物。
BMC Sports Sci Med Rehabil. 2023 Apr 20;15(1):61. doi: 10.1186/s13102-023-00673-9.
9
An Overview of the Impact of Bacterial Infections and the Associated Mortality Predictors in Patients with COVID-19 Admitted to a Tertiary Center from Eastern Europe.东欧一家三级中心收治的新冠肺炎患者细菌感染的影响及相关死亡预测因素概述
Antibiotics (Basel). 2023 Jan 11;12(1):144. doi: 10.3390/antibiotics12010144.
10
Role of cystatin C and calprotectin as potential early prognostic biomarkers in COVID-19 patients admitted to a dedicated COVID care facility.胱抑素C和钙卫蛋白作为入住专门新冠护理机构的新冠患者潜在早期预后生物标志物的作用。
J Family Med Prim Care. 2022 Jul;11(7):3971-3979. doi: 10.4103/jfmpc.jfmpc_545_22. Epub 2022 Jul 22.
炎症标志物作为新冠病毒感染死亡率的预测指标
Afr J Lab Med. 2020 Dec 21;9(1):1298. doi: 10.4102/ajlm.v9i1.1298. eCollection 2020.
4
Peripheral blood inflammatory markers in predicting prognosis in patients with COVID-19. Some differences with influenza A.外周血炎症标志物在预测 COVID-19 患者预后中的作用。与甲型流感的一些差异。
J Clin Lab Anal. 2021 Jan;35(1):e23657. doi: 10.1002/jcla.23657. Epub 2020 Nov 22.
5
Development of a prognostic model for mortality in COVID-19 infection using machine learning.基于机器学习的 COVID-19 感染死亡率预测模型的建立。
Mod Pathol. 2021 Mar;34(3):522-531. doi: 10.1038/s41379-020-00700-x. Epub 2020 Oct 16.
6
Serum Ferritin is an independent risk factor for Acute Respiratory Distress Syndrome in COVID-19.血清铁蛋白是新型冠状病毒肺炎中急性呼吸窘迫综合征的独立危险因素。
J Infect. 2020 Dec;81(6):979-997. doi: 10.1016/j.jinf.2020.09.006. Epub 2020 Sep 15.
7
Poor Prognostic Biochemical Markers Predicting Fatalities Caused by COVID-19: A Retrospective Observational Study From a Developing Country.预测新冠病毒疾病所致死亡的不良预后生化标志物:一项来自发展中国家的回顾性观察研究
Cureus. 2020 Aug 5;12(8):e9575. doi: 10.7759/cureus.9575.
8
Longitudinal changes of inflammatory parameters and their correlation with disease severity and outcomes in patients with COVID-19 from Wuhan, China.中国武汉 COVID-19 患者炎症参数的纵向变化及其与疾病严重程度和结局的相关性。
Crit Care. 2020 Aug 27;24(1):525. doi: 10.1186/s13054-020-03255-0.
9
C-reactive protein, procalcitonin, D-dimer, and ferritin in severe coronavirus disease-2019: a meta-analysis.C 反应蛋白、降钙素原、D-二聚体和铁蛋白在严重 2019 冠状病毒病中的meta 分析。
Ther Adv Respir Dis. 2020 Jan-Dec;14:1753466620937175. doi: 10.1177/1753466620937175.
10
Serum ferritin as an independent risk factor for severity in COVID-19 patients.血清铁蛋白作为新冠病毒肺炎患者病情严重程度的独立危险因素。
J Infect. 2020 Oct;81(4):647-679. doi: 10.1016/j.jinf.2020.06.053. Epub 2020 Jun 24.