• 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

新型冠状病毒肺炎轻症、重症及死亡、存活患者实验室参数的比较:系统评价与Meta分析

Comparison of laboratory parameters in mild severe cases and died survived patients with COVID-19: systematic review and meta-analysis.

作者信息

Cao Budao, Jing Xuefen, Liu Yan, Wen Rong, Wang Cuifeng

机构信息

Department of Laboratory Medicine, the First Affiliated Hospital of Baotou Medical College, Inner Mongolia University of Science and Technology, Baotou, China.

Graduate School of Baotou Medical College, Inner Mongolia University of Science and Technology, Baotou, China.

出版信息

J Thorac Dis. 2022 May;14(5):1478-1487. doi: 10.21037/jtd-22-345.

DOI:10.21037/jtd-22-345
PMID:35693606
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9186220/
Abstract

BACKGROUND

This study aimed to summarize the available data on the association between the severity of (COVID-19) and routine blood indicators, inflammatory, biochemical parameters and coagulation parameter.

METHODS

A literature search was conducted of PubMed, EMBASE, and Web of Sciences, CNKI, WanFang database providing relevant data. Random-effects meta-analysis was used to pool effect sizes.

RESULTS

In patients with severe symptoms, interleukin-6, [IL-6; standardized mean difference (SMD) =1.15, 95% confidence interval (95% CI): 1.01, 1.29, P<0.001, n=1,121], interleukin-10 (IL-10; SMD =0.92, 95% CI: 0.75, 1.08, P<0.001, n=782), interleukin-4 (IL-4; SMD =0.2, 95% CI: 0.01, 0.39, P=0.04, n=500), procalcitonin (PCT; SMD =1.16, 95% CI: 0.99, 1.33, P<0.001, n=734), C-reactive protein (CRP; SMD =1.42, 95% CI: 1.27, 1.57, P<0.001, n=1,286), serum amyloid A (SAA; SMD =2.82, 95% CI: 2.53, 3.11, P<0.001, n=502) neutrophil count (SMD =0.63, 95% CI: 0.44, 0.82, P<0.001, n=558), alanine aminotransferase (ALT; SMD =2.72, 95% CI: 2.43, 3.02, P<0.001, n=538), aspartate aminotransferase (AST; SMD =2.75, 95% CI: 2.37, 3.12, P<0.001, n=313), lactate dehydrogenase (LDH; SMD =4.01, 95% CI: 3.79, 4.24, P<0.001, n=1,055), creatine kinase (CK; SMD =2.62, 95% CI: 2.2, 3.03, P<0.001, n=230;), CK-MB isoenzyme (CK-MB; SMD =3.07, 95% CI: 2.81, 3.34, P<0.001, n=600, activated partial thromboplastin time (APTT; SMD =0.63, 95% CI: 0.39, 0.87, P<0.001, n=351), and prothrombin time (P-T; SMD =1.83, 95% CI: 1.55, 2.11, P<0.001, n=351) were significantly higher than in patients with mild symptoms. On the contrary, lymphocyte count (SMD =-1.04, 95% CI: -1.21, -0.86, P<0.001, n=805) platelets (SMD =-1.47, 95% CI: -1.7, -1.24, P<0.001, n=653), monocyte count (SMD =-0.56, 95% CI: -0.8, -0.32, P<0.001, n=403), and albumin (SMD =-2.95, 95% CI: -3.21, -2.7, P<0.001, n=637) was significantly lower in patients with severe symptoms than in patients with mild symptoms. IL-6 (SMD =2.62, 95% CI: 2.15, 3.09, P<0.001, n=185), PCT (SMD =0.2, 95% CI: 0.16, 0.23, P<0.001, n=156), creatinine (SMD =2.29, 95% CI: 1.87, 2.7, P<0.001, n=213), and neutrophil counts (SMD =2.77, 95% CI: 2.38, 3.16, P<0.001, n=260) in patients with COVID-19 in the death group were significantly higher than that in patients in the survival group, while the lymphocyte count was significantly lower.

CONCLUSIONS

In summary, current evidence show that those laboratory indicators are associated with the severity of COVID-19 and thus could be used as prognostic risk stratification of patients with COVID-19.

摘要

背景

本研究旨在总结有关新型冠状病毒肺炎(COVID-19)严重程度与常规血液指标、炎症、生化参数及凝血参数之间关联的现有数据。

方法

对提供相关数据的PubMed、EMBASE、Web of Sciences、中国知网(CNKI)、万方数据库进行文献检索。采用随机效应荟萃分析来汇总效应量。

结果

在重症患者中,白细胞介素-6(IL-6;标准化均数差[SMD]=1.15,95%置信区间[95%CI]:1.01,1.29,P<0.001,n=1121)、白细胞介素-10(IL-10;SMD =0.92,95%CI:0.75,1.08,P<0.001,n=782)、白细胞介素-4(IL-4;SMD =0.2,95%CI:0.01,0.39,P=0.04,n=500)、降钙素原(PCT;SMD =1.16,95%CI:0.99,1.33,P<0.001,n=734)、C反应蛋白(CRP;SMD =1.42,95%CI:1.27,1.57,P<0.001,n=1286)、血清淀粉样蛋白A(SAA;SMD =2.82,95%CI:2.53,3.11,P<0.001,n=502)、中性粒细胞计数(SMD =0.63,95%CI:0.44,0.82,P<0.001,n=558)、丙氨酸氨基转移酶(ALT;SMD =2.72,95%CI:2.43,3.02,P<0.001,n=538)、天冬氨酸氨基转移酶(AST;SMD =2.75,95%CI:2.37,3.12,P<0.001,n=313)、乳酸脱氢酶(LDH;SMD =4.01,95%CI:3.79,4.24,P<0.001,n=1055)、肌酸激酶(CK;SMD =2.62,95%CI:2.2,3.03,P<0.001,n=230)、CK-MB同工酶(CK-MB;SMD =3.07,95%CI:2.81,3.34,P<0.001,n=600)、活化部分凝血活酶时间(APTT;SMD =0.63,95%CI:0.39,0.87,P<0.001,n=351)和凝血酶原时间(P-T;SMD =1.83,95%CI:1.55,2.11,P<0.001,n=351)显著高于轻症患者。相反,重症患者的淋巴细胞计数(SMD =-1.04,95%CI:-1.21,-0.86,P<0.001,n=805)、血小板(SMD =-1.47,95%CI:-1.7,-1.24,P<0.001,n=653)、单核细胞计数(SMD =-0.56,95%CI:-0.8,-0.32,P<0.001,n=403)和白蛋白(SMD =-2.95,95%CI:-3.21,-2.7,P<0.001,n=637)显著低于轻症患者。死亡组COVID-19患者的IL-6(SMD =2.62,95%CI:2.15,3.09,P<0.001,n=185)、PCT(SMD =0.2,95%CI:0.16,0.23,P<0.001,n=156)、肌酐(SMD =2.29,95%CI:1.87,2.7,P<0.001,n=213)和中性粒细胞计数(SMD =2.77,95%CI:2.38,3.16,P<0.001,n=260)显著高于存活组患者,而淋巴细胞计数显著更低。

结论

总之,现有证据表明,这些实验室指标与COVID-19的严重程度相关,因此可用于COVID-19患者的预后风险分层。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff66/9186220/85d0ed4f0e5d/jtd-14-05-1478-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff66/9186220/85d0ed4f0e5d/jtd-14-05-1478-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff66/9186220/85d0ed4f0e5d/jtd-14-05-1478-f1.jpg

相似文献

1
Comparison of laboratory parameters in mild severe cases and died survived patients with COVID-19: systematic review and meta-analysis.新型冠状病毒肺炎轻症、重症及死亡、存活患者实验室参数的比较:系统评价与Meta分析
J Thorac Dis. 2022 May;14(5):1478-1487. doi: 10.21037/jtd-22-345.
2
A meta-analysis of potential biomarkers associated with severity of coronavirus disease 2019 (COVID-19).一项关于与2019冠状病毒病(COVID-19)严重程度相关的潜在生物标志物的荟萃分析。
Biomark Res. 2020 Aug 31;8:37. doi: 10.1186/s40364-020-00217-0. eCollection 2020.
3
Laboratory features of severe vs. non-severe COVID-19 patients in Asian populations: a systematic review and meta-analysis.亚洲人群中重症与非重症 COVID-19 患者的实验室特征:系统评价和荟萃分析。
Eur J Med Res. 2020 Aug 3;25(1):30. doi: 10.1186/s40001-020-00432-3.
4
Routine laboratory testing to determine if a patient has COVID-19.进行常规实验室检测以确定患者是否感染新冠病毒。
Cochrane Database Syst Rev. 2020 Nov 19;11(11):CD013787. doi: 10.1002/14651858.CD013787.
5
Clinical and Immune Features of Hospitalized Pediatric Patients With Coronavirus Disease 2019 (COVID-19) in Wuhan, China.中国武汉 2019 年冠状病毒病(COVID-19)住院儿科患者的临床和免疫特征。
JAMA Netw Open. 2020 Jun 1;3(6):e2010895. doi: 10.1001/jamanetworkopen.2020.10895.
6
Predictive role of clinical features in patients with coronavirus disease 2019 for severe disease.2019冠状病毒病患者临床特征对重症疾病的预测作用
Zhong Nan Da Xue Xue Bao Yi Xue Ban. 2020 May 28;45(5):536-541. doi: 10.11817/j.issn.1672-7347.2020.200384.
7
[An analysis of laboratory results of parameters of organ function in patients with heat stroke].[中暑患者器官功能参数的实验室结果分析]
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue. 2015 Aug;27(8):658-61. doi: 10.3760/cma.j.issn.2095-4352.2015.08.008.
8
[Analysis of clinical characteristics and risk factors of early heat stroke-related acute liver injury].早期中暑相关性急性肝损伤的临床特征及危险因素分析
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue. 2023 Jul;35(7):724-729. doi: 10.3760/cma.j.cn121430-20230301-00128.
9
Clinical characteristics, early blood biochemical indicators, and prognostic status of children with bronchopneumonia.支气管肺炎患儿的临床特征、早期血液生化指标及预后状况。
Medicine (Baltimore). 2023 Nov 24;102(47):e36162. doi: 10.1097/MD.0000000000036162.
10
Crucial laboratory parameters in COVID-19 diagnosis and prognosis: An updated meta-analysis.新冠病毒诊断和预后的关键实验室参数:一项更新的荟萃分析。
Med Clin (Barc). 2020 Aug 28;155(4):143-151. doi: 10.1016/j.medcli.2020.05.017. Epub 2020 Jun 5.

引用本文的文献

1
Efficacy of monocyte distribution width in predicting critical illness in patients with COVID-19 pneumonia: a retrospective cohort study.单核细胞分布宽度在预测新型冠状病毒肺炎患者危重症中的效能:一项回顾性队列研究
BMC Infect Dis. 2025 Mar 24;25(1):400. doi: 10.1186/s12879-024-10391-3.
2
Biochemical differences based on sex and clusters of biomarkers in patients with COVID-19: analysis from the CARDIO COVID 19-20 registry.新型冠状病毒肺炎患者基于性别和生物标志物簇的生化差异:来自CARDIO COVID 19-20注册研究的分析
BMC Cardiovasc Disord. 2025 Mar 5;25(1):147. doi: 10.1186/s12872-025-04565-3.
3
Critical and non-critical coronavirus disease 2019 patients: which is the most predictive biomarker for disease severity and outcome?: A multicentre prospective cohort study comparing mid-regional pro-adrenomedullin, inflammatory and immunological patterns.

本文引用的文献

1
Cytokine profiling in Iranian patients with COVID-19; association with clinical severity.伊朗 COVID-19 患者的细胞因子分析;与临床严重程度的关联。
Iran J Immunol. 2021 Mar;18(1):54-64. doi: 10.22034/iji.2021.87630.1810.
2
Clinical characteristics of coronavirus disease 2019 (COVID-19) in patients out of Wuhan from China: a case control study.中国武汉以外地区 2019 年冠状病毒病(COVID-19)患者的临床特征:一项病例对照研究。
BMC Infect Dis. 2021 Feb 24;21(1):207. doi: 10.1186/s12879-021-05897-z.
3
Expressions of SAA, CRP, and FERR in different severities of COVID-19.
重症和非重症2019冠状病毒病患者:哪种生物标志物对疾病严重程度和预后最具预测性?一项比较中段肾上腺髓质素、炎症和免疫模式的多中心前瞻性队列研究
Eur J Anaesthesiol Intensive Care. 2023 Nov 21;2(6):e0039. doi: 10.1097/EA9.0000000000000039. eCollection 2023 Dec.
4
Baricitinib treatment for hospitalized patients with severe COVID-19 on invasive mechanical ventilation: a propensity score-matched and retrospective analysis.巴瑞替尼治疗接受有创机械通气的重症 COVID-19 住院患者:一项倾向评分匹配的回顾性分析。
Front Med (Lausanne). 2025 Jan 22;12:1445809. doi: 10.3389/fmed.2025.1445809. eCollection 2025.
5
Impact of Prolonged SARS-CoV-2 Viral Shedding on COVID-19 Disease Outcome and Viral Dynamics.严重急性呼吸综合征冠状病毒2(SARS-CoV-2)长期病毒脱落对冠状病毒病2019(COVID-19)疾病结局和病毒动力学的影响
Indian J Microbiol. 2024 Dec;64(4):1416-1424. doi: 10.1007/s12088-024-01238-1. Epub 2024 Mar 27.
6
Predictive value of hematocrit, serum albumin level difference, and fibrinogen-to-albumin ratio for COVID-19-associated acute respiratory failure.血细胞比容、血清白蛋白水平差异及纤维蛋白原与白蛋白比值对新型冠状病毒肺炎相关急性呼吸衰竭的预测价值
Heliyon. 2024 Jun 20;10(12):e33326. doi: 10.1016/j.heliyon.2024.e33326. eCollection 2024 Jun 30.
7
Clinical characteristics and prognostic factors of COVID-19 infection among cancer patients during the December 2022 - February 2023 Omicron variant outbreak.2022年12月至2023年2月奥密克戎变异株流行期间癌症患者中新型冠状病毒肺炎感染的临床特征及预后因素
Front Med (Lausanne). 2024 May 30;11:1401439. doi: 10.3389/fmed.2024.1401439. eCollection 2024.
8
Evaluation of Inflammation-Based Prognostic Risk Scores in Predicting in-Hospital Mortality Risk in COVID-19 Patients: A Cross-Sectional Retrospective Study.基于炎症的预后风险评分对COVID-19患者住院死亡风险的预测评估:一项横断面回顾性研究
Infect Dis Clin Microbiol. 2023 Mar 11;5(1):4-12. doi: 10.36519/idcm.2023.171. eCollection 2023 Mar.
9
Several laboratory variables indicate severity and prognosis of COVID-19.有几项实验室变量可以指示 COVID-19 的严重程度和预后。
J Int Med Res. 2024 Jan;52(1):3000605231222428. doi: 10.1177/03000605231222428.
10
Soluble TREM-1 plasma concentration predicts poor outcome in COVID-19 patients.可溶性髓系细胞触发受体-1血浆浓度可预测COVID-19患者的不良预后。
Intensive Care Med Exp. 2023 Aug 14;11(1):51. doi: 10.1186/s40635-023-00532-4.
SAA、CRP 和 FERR 在不同 COVID-19 严重程度下的表达。
Eur Rev Med Pharmacol Sci. 2020 Nov;24(21):11386-11394. doi: 10.26355/eurrev_202011_23631.
4
Hypercytokinemia in COVID-19: Tear cytokine profile in hospitalized COVID-19 patients.COVID-19 中的细胞因子过度反应:住院 COVID-19 患者的泪液细胞因子谱。
Exp Eye Res. 2020 Nov;200:108253. doi: 10.1016/j.exer.2020.108253. Epub 2020 Sep 16.
5
A meta-analysis of potential biomarkers associated with severity of coronavirus disease 2019 (COVID-19).一项关于与2019冠状病毒病(COVID-19)严重程度相关的潜在生物标志物的荟萃分析。
Biomark Res. 2020 Aug 31;8:37. doi: 10.1186/s40364-020-00217-0. eCollection 2020.
6
Associations between serum amyloid A, interleukin-6, and COVID-19: A cross-sectional study.血清淀粉样蛋白 A、白细胞介素-6 与 COVID-19 之间的关系:一项横断面研究。
J Clin Lab Anal. 2020 Oct;34(10):e23527. doi: 10.1002/jcla.23527. Epub 2020 Aug 28.
7
The value of serum amyloid A for predicting the severity and recovery of COVID-19.血清淀粉样蛋白A在预测新型冠状病毒肺炎严重程度及恢复情况中的价值
Exp Ther Med. 2020 Oct;20(4):3571-3577. doi: 10.3892/etm.2020.9114. Epub 2020 Aug 7.
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
Prompt Predicting of Early Clinical Deterioration of Moderate-to-Severe COVID-19 Patients: Usefulness of a Combined Score Using IL-6 in a Preliminary Study.在一项初步研究中,使用白细胞介素 6(IL-6)联合评分预测中重度 COVID-19 患者的早期临床恶化:有用性。
J Allergy Clin Immunol Pract. 2020 Sep;8(8):2575-2581.e2. doi: 10.1016/j.jaip.2020.06.013. Epub 2020 Jun 19.
10
Impact of Cardiovascular Disease on Clinical Characteristics and Outcomes of Coronavirus Disease 2019 (COVID-19).心血管疾病对 2019 年冠状病毒病(COVID-19)临床特征和结局的影响。
Circ J. 2020 Jul 22;84(8):1277-1283. doi: 10.1253/circj.CJ-20-0348. Epub 2020 Jun 13.