• 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

探索新冠病毒病患者的淋巴细胞亚群:来自一家三级学术医疗中心的见解,该中心有高比例患者接受免疫抑制治疗

Exploring lymphocyte subsets in COVID-19 patients: insights from a tertiary academic medical center with a high proportion of patients on immunosuppression.

作者信息

Daenen Katrijn, van Hooijdonk Samantha, Tong-Minh Kirby, Dik Willem A, van Hagen Petrus M, Huijben Jilske A, Gommers Diederik, van Gorp Eric C M, Endeman Henrik, Dalm Virgil A S H

机构信息

Department of Intensive Care, Erasmus University Medical Center, Rotterdam, Netherlands.

Department of Viroscience, Erasmus University Medical Center, Rotterdam, Netherlands.

出版信息

Front Immunol. 2024 Dec 3;15:1436637. doi: 10.3389/fimmu.2024.1436637. eCollection 2024.

DOI:10.3389/fimmu.2024.1436637
PMID:39691720
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11649503/
Abstract

INTRODUCTION

Severe COVID-19 is associated with reduced absolute lymphocyte counts, suggesting that lymphocyte subsets may serve as predictors of clinical outcomes in affected patients. Early identification of patients at risk for severe disease is crucial for optimizing care, accurately informing patients and their families, guiding therapeutic interventions, and improving patient flow in the ED. Given that immunosuppressive drugs significantly impact lymphocyte profiles, we aimed to determine the association between prior use of immunosuppressive drugs, lymphocyte subsets, and COVID-19 severity in our population with a high prevalence of immunosuppression.

METHODS

In 2021, suspected COVID-19 patients were included in the ED. Lymphocyte subsets were determined in peripheral blood within 24 hours after presentation and comparative analyses was performed between SARS-CoV-2 negative and positive patients, mild versus severe disease and patients with and without prior immunosuppressive drug use. Mild cases were patients discharged home or admitted to a general ward, severe cases were patients with COVID-19-related mortality or necessitating ICU admission. Logistic regression analysis was performed to assess the association between lymphocyte subsets and COVID-19 severity, and between prior immunosuppressive drug use and COVID-19 severity.

RESULTS

Twenty-five SARS-CoV-2 negative and 77 SARS-CoV-2 positive patients were included, whereof 57 (74%) had mild and 20 (26%) severe COVID-19. No significant differences were observed in the absolute counts of CD3+, CD4+, and CD8+ T-lymphocytes, B-lymphocytes, and NK-cells between SARS-CoV-2 negative and positive patients or between mild and severe cases. The 36 patients with prior use of immunosuppressive drugs had significantly lower CD4+ T-lymphocytes (p<0.01). Prior use of immunosuppressive drugs was not associated with COVID-19 severity (adjusted OR 1.074, 0.355-3.194).

CONCLUSION

Lymphocyte subsets were not significantly different between SARS-CoV-2 negative and positive patients and between mild versus severe cases. Neither lymphocyte subsets nor prior immunosuppressive drug use were associated with COVID-19 severity.

摘要

引言

重症新型冠状病毒肺炎(COVID-19)与绝对淋巴细胞计数减少有关,这表明淋巴细胞亚群可能是受影响患者临床结局的预测指标。早期识别重症疾病风险患者对于优化治疗、准确告知患者及其家属、指导治疗干预以及改善急诊科患者流程至关重要。鉴于免疫抑制药物会显著影响淋巴细胞谱,我们旨在确定在免疫抑制患病率较高的人群中,既往使用免疫抑制药物、淋巴细胞亚群与COVID-19严重程度之间的关联。

方法

2021年,急诊科纳入疑似COVID-19患者。在就诊后24小时内测定外周血中的淋巴细胞亚群,并对严重急性呼吸综合征冠状病毒2(SARS-CoV-2)阴性和阳性患者、轻症与重症患者以及既往使用和未使用免疫抑制药物的患者进行比较分析。轻症患者为出院回家或入住普通病房的患者,重症患者为与COVID-19相关死亡或需要入住重症监护病房(ICU)的患者。进行逻辑回归分析以评估淋巴细胞亚群与COVID-19严重程度之间以及既往使用免疫抑制药物与COVID-19严重程度之间的关联。

结果

纳入25例SARS-CoV-2阴性和77例SARS-CoV-2阳性患者,其中57例(74%)为轻症COVID-19,20例(26%)为重症COVID-19。SARS-CoV-2阴性和阳性患者之间或轻症与重症病例之间,CD3⁺、CD4⁺和CD8⁺T淋巴细胞、B淋巴细胞和自然杀伤(NK)细胞的绝对计数无显著差异。3名既往使用免疫抑制药物的患者CD4⁺T淋巴细胞显著减少(p<0.01)。既往使用免疫抑制药物与COVID-19严重程度无关(调整后的比值比为1.074,95%置信区间为0.355-3.194)。

结论

SARS-CoV-2阴性和阳性患者之间以及轻症与重症病例之间,淋巴细胞亚群无显著差异。淋巴细胞亚群和既往使用免疫抑制药物均与COVID-19严重程度无关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f78f/11649503/aab6a3917efe/fimmu-15-1436637-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f78f/11649503/297982a0aab1/fimmu-15-1436637-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f78f/11649503/aab6a3917efe/fimmu-15-1436637-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f78f/11649503/297982a0aab1/fimmu-15-1436637-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f78f/11649503/aab6a3917efe/fimmu-15-1436637-g002.jpg

相似文献

1
Exploring lymphocyte subsets in COVID-19 patients: insights from a tertiary academic medical center with a high proportion of patients on immunosuppression.探索新冠病毒病患者的淋巴细胞亚群:来自一家三级学术医疗中心的见解,该中心有高比例患者接受免疫抑制治疗
Front Immunol. 2024 Dec 3;15:1436637. doi: 10.3389/fimmu.2024.1436637. eCollection 2024.
2
CD4 and CD8 Lymphocyte Counts as Surrogate Early Markers for Progression in SARS-CoV-2 Pneumonia: A Prospective Study.CD4 和 CD8 淋巴细胞计数作为 SARS-CoV-2 肺炎进展的替代早期标志物:一项前瞻性研究。
Viruses. 2020 Nov 9;12(11):1277. doi: 10.3390/v12111277.
3
Dynamic Changes in Lymphocyte Populations and Their Relationship with Disease Severity and Outcome in COVID-19.新型冠状病毒肺炎患者淋巴细胞亚群的动态变化及其与疾病严重程度和转归的关系。
Int J Mol Sci. 2024 Nov 6;25(22):11921. doi: 10.3390/ijms252211921.
4
Dynamic changes in lymphocyte subsets and parallel cytokine levels in patients with severe and critical COVID-19.重症和危重症新型冠状病毒肺炎患者淋巴细胞亚群及相关细胞因子水平的动态变化
BMC Infect Dis. 2021 Jan 18;21(1):79. doi: 10.1186/s12879-021-05792-7.
5
Lymphocyte subsets as a predictor of severity and prognosis in COVID-19 patients.淋巴细胞亚群作为 COVID-19 患者严重程度和预后的预测指标。
Int J Immunopathol Pharmacol. 2021 Jan-Dec;35:20587384211048567. doi: 10.1177/20587384211048567.
6
Baseline T-lymphocyte subset absolute counts can predict both outcome and severity in SARS-CoV-2 infected patients: a single center study.基线 T 淋巴细胞亚群绝对计数可预测 SARS-CoV-2 感染患者的结局和严重程度:一项单中心研究。
Sci Rep. 2021 Jun 17;11(1):12762. doi: 10.1038/s41598-021-90983-0.
7
Analysis of peripheral lymphocyte subsets and T-cell exhaustion in SARS-CoV-2 Infection.分析 SARS-CoV-2 感染中的外周血淋巴细胞亚群和 T 细胞耗竭。
Tuberk Toraks. 2024 Jun;72(2):152-166. doi: 10.5578/tt.202402929.
8
Characteristics of peripheral lymphocyte subsets and antibodies in COVID-19-infected kidney transplantation recipients.新型冠状病毒肺炎感染的肾移植受者外周血淋巴细胞亚群及抗体特征
Int Immunopharmacol. 2025 Jan 3;145:113755. doi: 10.1016/j.intimp.2024.113755. Epub 2024 Dec 12.
9
Lymphocyte Subset Alteration and Monocyte CD4 Expression Reduction in Patients with Severe COVID-19.严重 COVID-19 患者的淋巴细胞亚群改变和单核细胞 CD4 表达减少。
Viral Immunol. 2021 Jun;34(5):342-351. doi: 10.1089/vim.2020.0166. Epub 2020 Nov 23.
10
Immune cell profiling and antibody responses in patients with COVID-19.新型冠状病毒肺炎患者的免疫细胞谱和抗体反应。
BMC Infect Dis. 2021 Jul 5;21(1):646. doi: 10.1186/s12879-021-06278-2.

本文引用的文献

1
Characterizing Risk Factors for Hospitalization and Clinical Characteristics in a Cohort of COVID-19 Patients Enrolled in the GENCOV Study.描述 GENCOV 研究中 COVID-19 患者住院和临床特征的风险因素。
Viruses. 2023 Aug 18;15(8):1764. doi: 10.3390/v15081764.
2
Association of interleukin-6 and CD4+ T cells and two-week prognosis of patients with COVID-19: a predictive role.白细胞介素 6 和 CD4+T 细胞与 COVID-19 患者两周预后的相关性:预测作用。
Eur Rev Med Pharmacol Sci. 2023 May;27(10):4782-4791. doi: 10.26355/eurrev_202305_32489.
3
Coronavirus Disease-2019 in the Immunocompromised Host.
新型冠状病毒病在免疫功能低下宿主中的研究进展
Clin Chest Med. 2023 Jun;44(2):395-406. doi: 10.1016/j.ccm.2022.11.012. Epub 2022 Nov 22.
4
COVID-19 hospitalisations in immunocompromised individuals in the Omicron era: a population-based observational study using surveillance data in British Columbia, Canada.奥密克戎时代免疫功能低下个体的新冠病毒住院情况:一项基于加拿大不列颠哥伦比亚省监测数据的人群观察性研究
Lancet Reg Health Am. 2023 Mar 6;20:100461. doi: 10.1016/j.lana.2023.100461. eCollection 2023 Apr.
5
Steroid-induced secondary immune deficiency.类固醇诱导的继发性免疫缺陷。
Ann Allergy Asthma Immunol. 2023 Jun;130(6):713-717. doi: 10.1016/j.anai.2023.01.010. Epub 2023 Jan 18.
6
Interplay of Immunosuppression and Immunotherapy Among Patients With Cancer and COVID-19.癌症和 COVID-19 患者的免疫抑制与免疫治疗相互作用。
JAMA Oncol. 2023 Jan 1;9(1):128-134. doi: 10.1001/jamaoncol.2022.5357.
7
A New Early Predictor of Fatal Outcome for COVID-19 in an Italian Emergency Department: The Modified Quick-SOFA.意大利急诊科中 COVID-19 致死结局的一种新的早期预测指标:改良快速序贯器官衰竭评估(Modified Quick-SOFA)
Microorganisms. 2022 Apr 12;10(4):806. doi: 10.3390/microorganisms10040806.
8
Efficacy of covid-19 vaccines in immunocompromised patients: systematic review and meta-analysis.新冠疫苗在免疫功能低下患者中的有效性:系统评价和荟萃分析。
BMJ. 2022 Mar 2;376:e068632. doi: 10.1136/bmj-2021-068632.
9
Clinical Characteristics and Outcome of Patients with Suspected COVID-19 in Emergency Department (RESILIENCY Study II).急诊科疑似新型冠状病毒肺炎患者的临床特征与转归(弹性研究II)
Diagnostics (Basel). 2021 Jul 29;11(8):1368. doi: 10.3390/diagnostics11081368.
10
Immuno-inflammatory predictors of disease severity in COVID-19: A systematic review and meta-analysis.新冠病毒病(COVID-19)疾病严重程度的免疫炎症预测指标:一项系统综述与荟萃分析
J Family Med Prim Care. 2021 Mar;10(3):1102-1116. doi: 10.4103/jfmpc.jfmpc_2196_20. Epub 2021 Apr 8.