Increased Interleukin-6 is Associated with Long COVID-19: Evidence from a Systematic Review and Meta-analysis

Author:

Yin Jing-Xian1,Agbana Yannick Luther2,Sun Zhi-Shan1,Fei Si-Wei1,Zhao Han-Qing1,Zhou Xiao-Nong1,Chen Jun-Hu3,Kassegne Kokouvi1ORCID

Affiliation:

1. Shanghai Jiao Tong University School of Medicine

2. Pan African University Life and Earth Sciences Institute

3. National Institute of Parasitic Diseases

Abstract

Abstract Background: Coronavirus disease 2019 (COVID-19) can involve persistence, sequelae, and other clinical complications that last weeks to months to evolve into long COVID-19. Exploratory studies have suggested that interleukin-6 (IL-6) is related to COVID-19; however, no correlation between IL-6 and long COVID-19 is known. We designed a systematic review and meta-analysis to assess the relationship between IL-6 levels and long COVID-19. Methods: Databases were systematically searched for articles with data on long COVID-19 and IL-6 levels published before September 2022. A total of 22 published studies were eligible for inclusion following the PRISMA guidelines. Analysis of data was undertaken by using Cochran's Q test and the Higgins I-squared (I2) statistic for heterogeneity. Random-effect meta-analyses were conducted to pool the IL-6 levels of long COVID-19 patients and to compare the differences in IL-6 levels among the long COVID-19, healthy, non-post-acute sequelae of SARS-CoV-2 infection (non-PASC), and acute COVID-19 populations. The funnel plot and Egger's test were used to assess potential publication bias. Sensitivity analysis was used to test the stability of the results. Results: An increase in IL-6 levels was observed after severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. The pooled estimate of IL-6 revealed a mean value of 20.92 pg/ml (95% CI = 9.30 – 32.54 pg/ml, I2 = 100%, p < 0.01) for long COVID-19. The forest plot showed high levels of IL-6 for long COVID-19 compared with healthy controls (mean difference = 9.75 pg/ml, 95% CI = 5.75 – 13.75 pg/ml, I2 = 100%, p < 0.00001) and PASC category (mean difference = 3.32 pg/ml, 95% CI = 0.22 – 6.42 pg/ml, I2 = 88%, p = 0.04). The symmetry of the funnel plots was not obvious, and Egger’s test showed that there was no significant small study effect in all groups (long COVID-19 versus healthy controls, p = 0.24; long COVID-19 versus non-PASC, p = 0.31). Conclusions: This study showed that increased IL-6 correlates with long COVID-19. Such an informative revelation suggests IL-6 as a basic determinant to predict long COVID-19 or at least inform on “early stage” of long COVID-19.

Publisher

Research Square Platform LLC

Reference57 articles.

1. Identifying SARS-CoV-2-related coronaviruses in Malayan pangolins;Lam TT;Nature,2020

2. Assessment of performance for a key indicator of One Health: evidence based on One Health index for zoonoses in Sub-Saharan Africa;Zhao HQ;Infect Dis Poverty,2022

3. National Institute for Health and Care Excellence. Clinical Guidelines. In: COVID-19 rapid guideline: managing the long-term effects of COVID-19. National Institute for Health and Care Excellence (NICE); 2020.

4. Framework and Timeline of the Spectrum of Disease Due to SARS-CoV-2 Infection: Illness Beyond Acute Infection and Public Health Implications;Datta SD;JAMA,2020

5. Refining “Long-COVID” by a Prospective Multimodal Evaluation of Patients with Long-Term Symptoms Attributed to SARS-CoV-2 Infection;Scherlinger M;Infect Dis Therapy,2021

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3