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Li MX, Li YF, Xing X, Niu JQ, Yao L, Lu MY, Guo K, Ma MN, Wu XT, Ma N, Li D, Li ZJ, Guan L, Wang XM, Pan B, Shang WR, Ji J, Song ZY, Zhang ZM, Wang YF, Yang KH. Intravenous immunoglobulin for treatment of hospitalized COVID-19 patients: an evidence mapping and meta-analysis. Inflammopharmacology 2024; 32:335-354. [PMID: 38097885 DOI: 10.1007/s10787-023-01398-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Accepted: 11/17/2023] [Indexed: 03/03/2024]
Abstract
BACKGROUND The clinical efficacy and safety of intravenous immunoglobulin (IVIg) treatment for COVID-19 remain controversial. This study aimed to map the current status and gaps of available evidence, and conduct a meta-analysis to further investigate the benefit of IVIg in COVID-19 patients. METHODS Electronic databases were searched for systematic reviews/meta-analyses (SR/MAs), primary studies with control groups, reporting on the use of IVIg in patients with COVID-19. A random-effects meta-analysis with subgroup analyses regarding study design and patient disease severity was performed. Our outcomes of interest determined by the evidence mapping, were mortality, length of hospitalization (days), length of intensive care unit (ICU) stay (days), number of patients requiring mechanical ventilation, and adverse events. RESULTS We included 34 studies (12 SR/MAs, 8 prospective and 14 retrospective studies). A total of 5571 hospitalized patients were involved in 22 primary studies. Random-effects meta-analyses of very low to moderate evidence showed that there was little or no difference between IVIg and standard care or placebo in reducing mortality (relative risk [RR] 0.91; 95% CI 0.78-1.06; risk difference [RD] 3.3% fewer), length of hospital (mean difference [MD] 0.37; 95% CI - 2.56, 3.31) and ICU (MD 0.36; 95% CI - 0.81, 1.53) stays, mechanical ventilation use (RR 0.92; 95% CI 0.68-1.24; RD 2.8% fewer), and adverse events (RR 0.98; 95% CI 0.84-1.14; RD 0.5% fewer) of patients with COVID-19. Sensitivity analysis using a fixed-effects model indicated that IVIg may reduce mortality (RR 0.76; 95% CI 0.60-0.97), and increase length of hospital stay (MD 0.68; 95% CI 0.09-1.28). CONCLUSION Very low to moderate certainty of evidence indicated IVIg may not improve the clinical outcomes of hospitalized patients with COVID-19. Given the discrepancy between the random- and fixed-effects model results, further large-scale and well-designed RCTs are warranted.
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Affiliation(s)
- Mei-Xuan Li
- Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China
- Evidence-Based Social Science Research Center, Health Technology Assessment Center, School of Public Health, Lanzhou University, Lanzhou, China
- Key Laboratory of Evidence-Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, China
- WHO Collaborating Centre for Guideline Implementation and Knowledge Translation, Lanzhou University, Lanzhou, China
| | - Yan-Fei Li
- Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China
- Evidence-Based Social Science Research Center, Health Technology Assessment Center, School of Public Health, Lanzhou University, Lanzhou, China
- Key Laboratory of Evidence-Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, China
- WHO Collaborating Centre for Guideline Implementation and Knowledge Translation, Lanzhou University, Lanzhou, China
| | - Xin Xing
- Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China
- Evidence-Based Social Science Research Center, Health Technology Assessment Center, School of Public Health, Lanzhou University, Lanzhou, China
- Key Laboratory of Evidence-Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, China
- WHO Collaborating Centre for Guideline Implementation and Knowledge Translation, Lanzhou University, Lanzhou, China
- School of Public Health, Gansu University of Chinese Medicine, Lanzhou, China
| | - Jun-Qiang Niu
- Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China
- Evidence-Based Social Science Research Center, Health Technology Assessment Center, School of Public Health, Lanzhou University, Lanzhou, China
- Key Laboratory of Evidence-Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, China
- WHO Collaborating Centre for Guideline Implementation and Knowledge Translation, Lanzhou University, Lanzhou, China
- Department of Traditional Chinese Medicine, The First Hospital of Lanzhou University, Lanzhou, China
| | - Liang Yao
- Department of Health Research Methods, Evidence, and Impact, Faculty of Health Sciences, McMaster University, Hamilton, Canada
| | - Meng-Ying Lu
- Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, China
| | - Ke Guo
- Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China
- Evidence-Based Social Science Research Center, Health Technology Assessment Center, School of Public Health, Lanzhou University, Lanzhou, China
- Key Laboratory of Evidence-Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, China
- WHO Collaborating Centre for Guideline Implementation and Knowledge Translation, Lanzhou University, Lanzhou, China
| | - Mi-Na Ma
- Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China
- Evidence-Based Social Science Research Center, Health Technology Assessment Center, School of Public Health, Lanzhou University, Lanzhou, China
- Key Laboratory of Evidence-Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, China
- WHO Collaborating Centre for Guideline Implementation and Knowledge Translation, Lanzhou University, Lanzhou, China
| | - Xiao-Tian Wu
- Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, China
| | - Ning Ma
- Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China
- Evidence-Based Social Science Research Center, Health Technology Assessment Center, School of Public Health, Lanzhou University, Lanzhou, China
- Key Laboratory of Evidence-Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, China
- WHO Collaborating Centre for Guideline Implementation and Knowledge Translation, Lanzhou University, Lanzhou, China
| | - Dan Li
- Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China
- Evidence-Based Social Science Research Center, Health Technology Assessment Center, School of Public Health, Lanzhou University, Lanzhou, China
- Key Laboratory of Evidence-Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, China
- WHO Collaborating Centre for Guideline Implementation and Knowledge Translation, Lanzhou University, Lanzhou, China
| | - Zi-Jun Li
- Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China
- Evidence-Based Social Science Research Center, Health Technology Assessment Center, School of Public Health, Lanzhou University, Lanzhou, China
- Key Laboratory of Evidence-Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, China
- WHO Collaborating Centre for Guideline Implementation and Knowledge Translation, Lanzhou University, Lanzhou, China
| | - Ling Guan
- Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China
- School/Hospital of Stomatology, Lanzhou University, Lanzhou, China
| | - Xiao-Man Wang
- Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China
- Evidence-Based Social Science Research Center, Health Technology Assessment Center, School of Public Health, Lanzhou University, Lanzhou, China
- Key Laboratory of Evidence-Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, China
- WHO Collaborating Centre for Guideline Implementation and Knowledge Translation, Lanzhou University, Lanzhou, China
| | - Bei Pan
- Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China
- Evidence-Based Social Science Research Center, Health Technology Assessment Center, School of Public Health, Lanzhou University, Lanzhou, China
- Key Laboratory of Evidence-Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, China
- WHO Collaborating Centre for Guideline Implementation and Knowledge Translation, Lanzhou University, Lanzhou, China
| | - Wen-Ru Shang
- Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China
- Evidence-Based Social Science Research Center, Health Technology Assessment Center, School of Public Health, Lanzhou University, Lanzhou, China
- Key Laboratory of Evidence-Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, China
- WHO Collaborating Centre for Guideline Implementation and Knowledge Translation, Lanzhou University, Lanzhou, China
| | - Jing Ji
- Department of Rehabilitation, Gansu Provincial Hospital of Traditional Chinese Medicine, Lanzhou, China
| | - Zhong-Yang Song
- Affiliated Hospital of Gansu University of Chinese Medicine, Lanzhou, China
| | - Zhi-Ming Zhang
- Department of Rehabilitation, Gansu Provincial Hospital of Traditional Chinese Medicine, Lanzhou, China.
| | | | - Ke-Hu Yang
- Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China.
- Evidence-Based Social Science Research Center, Health Technology Assessment Center, School of Public Health, Lanzhou University, Lanzhou, China.
- Key Laboratory of Evidence-Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, China.
- WHO Collaborating Centre for Guideline Implementation and Knowledge Translation, Lanzhou University, Lanzhou, China.
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Fatemi B, Rezaei S, Peikanpour M, Dastan F, Saffaei A. Efficacy of intravenous immunoglobulins (IVIG) in COVID-19 patients: a systematic review and meta-analysis. Res Pharm Sci 2023; 18:346-357. [PMID: 37614613 PMCID: PMC10443666 DOI: 10.4103/1735-5362.378082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Revised: 10/22/2022] [Accepted: 05/01/2023] [Indexed: 08/25/2023] Open
Abstract
Background and purpose Though controversial, many clinical trials have been conducted to evaluate the efficacy of intravenous immunoglobulins (IVIG) in COVID-19 cases. Therefore, a systematic review and meta-analysis have been performed to evaluate the efficacy of IVIG in the treatment of COVID-19 patients. Experimental approach A systematic search was performed in electronic databases and preprint servers up to November 20, 2021. Since substantial heterogeneity was expected, a random-effects model was applied to pool effect size from included studies to calculate the standardized mean differences (SMDs) for the continuous variables and relative risks (RRs) for the dichotomous variable with 95% confidence intervals (CIs). Findings/Results Five randomized clinical trials and seven cohort studies were analyzed among the 12 eligible studies with a total of 2,156 patients. The pooled RR of mortality was 0.77 (CI 0.59-1.01, P-value = 0.06), and of mechanical ventilation was 1.50 (CI 0.29-7.83; P-value = 0.63) in the IVIG group compared with the standard care group. The pooled SMD of hospital length of stay was 0.84 (CI -0.43-2.11; P-value = 0.20) and of ICU length of stay was -0.07 (CI -0.92-0.78; P-value = 0.86) in the IVIG group compared with the standard care group. Conclusion and implications This meta-analysis found that the IVIG therapy was not statistically different from the standard care group. Mortality, ICU admission, mechanical ventilation, length of hospital stay, and length of ICU stay were not significantly improved among IVIG recipients. However, statistical indifference is not equal to clinical indifference.
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Affiliation(s)
- Behzad Fatemi
- Department of Pharmacoeconomics and Pharma Management, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran
| | - Soheila Rezaei
- Department of Pharmacoeconomics and Pharma Management, School of Pharmacy, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mohammad Peikanpour
- Department of Pharmacoeconomics and Pharma Management, School of Pharmacy, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Farzaneh Dastan
- Department of Clinical Pharmacy, School of Pharmacy, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Ali Saffaei
- Skull Base Research Center, Loghman Hakim Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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Kwapisz D, Bogusławska J. Intravenous immunoglobulins (IVIG) in severe/critical COVID-19 adult patients. Biomed Pharmacother 2023; 163:114851. [PMID: 37167723 PMCID: PMC10160523 DOI: 10.1016/j.biopha.2023.114851] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Revised: 04/30/2023] [Accepted: 05/04/2023] [Indexed: 05/13/2023] Open
Abstract
The coronavirus disease 2019 (COVID-19) pandemic has become a huge obstacle to the health system due to the high rate of contagion. It is postulated that intravenous immunoglobulins (IVIG) can lower the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-related inflammation and prevent the development of acute respiratory distress syndrome (ARDS). The main advantages of IVIG treatment might be targeting cytokine storm in severe and critical COVID-19 by influences on complement, innate immune cells, effector T-cells, and Tregs. Randomized clinical trials (RCTs) and non-RCTs evaluating the safety and efficacy of IVIG in patients with severe/critical COVID-19 were performed. It seems that early administration of high-dose IVIG (in the acceleration phase of the disease) in severe or especially critical COVID-19 may be an effective therapeutic option, but there are no strong data to use it routinely. The results regarding mortality reduction are inconclusive. Additionally, IVIG treatment carries a risk of complications that should be considered when initiating treatment. However, given the COVID-19 mortality rate and limited therapeutic options, the use of IVIG is worth considering. This review summarizes the development and highlights recent advances in treatment with IVIG of severe/critically ill COVID-19 patients.
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Affiliation(s)
- Dorota Kwapisz
- Department of Biochemistry and Molecular Biology, Centre of Postgraduate Medical Education, Marymoncka 99/103, 01-813 Warsaw, Poland.
| | - Joanna Bogusławska
- Department of Biochemistry and Molecular Biology, Centre of Postgraduate Medical Education, Marymoncka 99/103, 01-813 Warsaw, Poland
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Liu M, Gan H, Liang Z, Liu L, Liu Q, Mai Y, Chen H, Lei B, Yu S, Chen H, Zheng P, Sun B. Review of therapeutic mechanisms and applications based on SARS-CoV-2 neutralizing antibodies. Front Microbiol 2023; 14:1122868. [PMID: 37007494 PMCID: PMC10060843 DOI: 10.3389/fmicb.2023.1122868] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Accepted: 02/23/2023] [Indexed: 03/18/2023] Open
Abstract
COVID-19 pandemic is a global public health emergency. Despite extensive research, there are still few effective treatment options available today. Neutralizing-antibody-based treatments offer a broad range of applications, including the prevention and treatment of acute infectious diseases. Hundreds of SARS-CoV-2 neutralizing antibody studies are currently underway around the world, with some already in clinical applications. The development of SARS-CoV-2 neutralizing antibody opens up a new therapeutic option for COVID-19. We intend to review our current knowledge about antibodies targeting various regions (i.e., RBD regions, non-RBD regions, host cell targets, and cross-neutralizing antibodies), as well as the current scientific evidence for neutralizing-antibody-based treatments based on convalescent plasma therapy, intravenous immunoglobulin, monoclonal antibodies, and recombinant drugs. The functional evaluation of antibodies (i.e., in vitro or in vivo assays) is also discussed. Finally, some current issues in the field of neutralizing-antibody-based therapies are highlighted.
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Affiliation(s)
- Mingtao Liu
- National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China
| | - Hui Gan
- National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China
| | - Zhiman Liang
- National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China
| | - Li Liu
- Guangzhou Medical University, Guangzhou, China
| | - Qiwen Liu
- Guangzhou Medical University, Guangzhou, China
| | - Yiyin Mai
- Guangzhou Medical University, Guangzhou, China
| | | | - Baoying Lei
- Guangzhou Medical University, Guangzhou, China
| | - Shangwei Yu
- Guangzhou Medical University, Guangzhou, China
| | - Huihui Chen
- Guangzhou Medical University, Guangzhou, China
| | - Peiyan Zheng
- National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China
| | - Baoqing Sun
- National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China
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5
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Liu X, Zhang Y, Lu L, Li X, Wu Y, Yang Y, Li T, Cao W. Benefits of high-dose intravenous immunoglobulin on mortality in patients with severe COVID-19: An updated systematic review and meta-analysis. Front Immunol 2023; 14:1116738. [PMID: 36756131 PMCID: PMC9900022 DOI: 10.3389/fimmu.2023.1116738] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Accepted: 01/10/2023] [Indexed: 01/24/2023] Open
Abstract
Background The clinical benefits of high-dose intravenous immunoglobulin (IVIg) in treating COVID-19 remained controversial. Methods We systematically searched databases up to February 17, 2022, for studies examining the efficacy of IVIg compared to routine care. Meta-analyses were conducted using the random-effects model. Subgroup analysis, meta-regression, and trial series analysis w ere performed to explore heterogeneity and statistical significance. Results A total of 4,711 hospitalized COVID-19 patients (1,925 IVIg treated and 2786 control) were collected from 17 studies, including five randomized controlled trials (RCTs) and 12 cohort studies. The application of IVIg was not associated with all-cause mortality (RR= 0.89 [0.63, 1.26], P= 0.53; I2 = 75%), the length of hospital stays (MD= 0.29 [-3.40, 6.44] days, P= 0.88; I2 = 96%), the needs for mechanical ventilation (RR= 0.93 ([0.73, 1.19], P= 0.31; I2 = 56%), or the incidence of adverse events (RR= 1.15 [0.99, 1.33], P= 0.06; I2 = 20%). Subgroup analyses showed that overall mortality among patients with severe COVID-19 was reduced in the high-dose IVIg subgroup (RR= 0.33 [0.13, 0.86], P= 0.02, I2 = 68%; very low certainty). Conclusions Results of this study suggest that severe hospitalized COVID-19 patients treated with high-dose IVIg would have a lower risk of death than patients with routine care. Systematic review registration https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42021231040, identifier CRD42021231040.
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Affiliation(s)
- Xiaosheng Liu
- Tsinghua-Peking Center for Life Sciences, Beijing, China,Department of Basic Medical Sciences, School of Medicine, Tsinghua University, Beijing, China,Department of Infectious Diseases, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China
| | - Yuelun Zhang
- Medical research center, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China
| | - Lianfeng Lu
- Department of Infectious Diseases, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China
| | - Xiaodi Li
- Department of Infectious Diseases, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China
| | - Yuanni Wu
- Department of Infectious Diseases, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China
| | - Yang Yang
- Department of Infectious Diseases, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China
| | - Taisheng Li
- Tsinghua-Peking Center for Life Sciences, Beijing, China,Department of Infectious Diseases, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China,State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Wei Cao
- Department of Infectious Diseases, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China,State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China,*Correspondence: Wei Cao,
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Uruma Y, Manabe T, Fujikura Y, Iikura M, Hojo M, Kudo K. Effect of asthma, COPD, and ACO on COVID-19: A systematic review and meta-analysis. PLoS One 2022; 17:e0276774. [PMID: 36318528 PMCID: PMC9624422 DOI: 10.1371/journal.pone.0276774] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Accepted: 10/13/2022] [Indexed: 11/05/2022] Open
Abstract
Introduction The prevalence of asthma, chronic obstructive pulmonary disease (COPD), and asthma-COPD overlap (ACO) in patients with COVID-19 varies, as well as their risks of mortality. The present study aimed to assess the prevalence of asthma, COPD, and ACO as comorbidities, and to determine their risks of mortality in patients with COVID-19 using a systematic review and meta-analysis. Methods We systematically reviewed clinical studies that reported the comorbidities of asthma, COPD, and ACO in patients with COVID-19. We searched various databases including PubMed (from inception to 27 September 2021) for eligible studies written in English. A meta-analysis was performed using the random-effect model for measuring the prevalence of asthma, COPD, and ACO as comorbidities, and the mortality risk of asthma, COPD, and ACO in patients with COVID-19 was estimated. A stratified analysis was conducted according to country. Results One hundred one studies were eligible, and 1,229,434 patients with COVID-19 were identified. Among them, the estimated prevalence of asthma, COPD, and ACO using a meta-analysis was 10.04% (95% confidence interval [CI], 8.79–11.30), 8.18% (95% CI, 7.01–9.35), and 3.70% (95% CI, 2.40–5.00), respectively. The odds ratio for mortality of pre-existing asthma in COVID-19 patients was 0.89 (95% CI, 0.55–1.4; p = 0.630), while that in pre-existing COPD in COVID-19 patients was 3.79 (95% CI, 2.74–5.24; p<0.001). France showed the highest prevalence of asthma followed by the UK, while that of COPD was highest in the Netherlands followed by India. Conclusion Pre-existing asthma and COPD are associated with the incidence of COVID-19. Having COPD significantly increases the risk of mortality in patients with COVID-19. These differences appear to be influenced by the difference of locations of disease pathophysiology and by the daily diagnosis and treatment policy of each country.
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Affiliation(s)
- Yuka Uruma
- Nagoya City University Medical School, Aichi, Japan
| | - Toshie Manabe
- Nagoya City University Graduate School of Medical Sciences, Aichi, Japan
- Nagoya City University West Medical Center, Aichi, Japan
- * E-mail:
| | - Yuji Fujikura
- Division of Infectious Diseases and Respiratory Medicine, Department of Internal Medicine, National Defense Medical College, Saitama, Japan
- Department of Medical Risk Management and Infection Control, National Defense Medical College Hospital, Tokorozawa, Japan
| | - Motoyasu Iikura
- Department of Respiratory Medicine, National Center for Global Health and Medicine, Tokyo, Japan
| | - Masayuki Hojo
- Department of Respiratory Medicine, National Center for Global Health and Medicine, Tokyo, Japan
| | - Koichiro Kudo
- Yurin Hospital, Tokyo, Japan
- Waseda University, Institute for Asia Human Community, Tokyo, Japan
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7
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Strohl WR, Ku Z, An Z, Carroll SF, Keyt BA, Strohl LM. Passive Immunotherapy Against SARS-CoV-2: From Plasma-Based Therapy to Single Potent Antibodies in the Race to Stay Ahead of the Variants. BioDrugs 2022; 36:231-323. [PMID: 35476216 PMCID: PMC9043892 DOI: 10.1007/s40259-022-00529-7] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/21/2022] [Indexed: 12/15/2022]
Abstract
The COVID-19 pandemic is now approaching 2 years old, with more than 440 million people infected and nearly six million dead worldwide, making it the most significant pandemic since the 1918 influenza pandemic. The severity and significance of SARS-CoV-2 was recognized immediately upon discovery, leading to innumerable companies and institutes designing and generating vaccines and therapeutic antibodies literally as soon as recombinant SARS-CoV-2 spike protein sequence was available. Within months of the pandemic start, several antibodies had been generated, tested, and moved into clinical trials, including Eli Lilly's bamlanivimab and etesevimab, Regeneron's mixture of imdevimab and casirivimab, Vir's sotrovimab, Celltrion's regdanvimab, and Lilly's bebtelovimab. These antibodies all have now received at least Emergency Use Authorizations (EUAs) and some have received full approval in select countries. To date, more than three dozen antibodies or antibody combinations have been forwarded into clinical trials. These antibodies to SARS-CoV-2 all target the receptor-binding domain (RBD), with some blocking the ability of the RBD to bind human ACE2, while others bind core regions of the RBD to modulate spike stability or ability to fuse to host cell membranes. While these antibodies were being discovered and developed, new variants of SARS-CoV-2 have cropped up in real time, altering the antibody landscape on a moving basis. Over the past year, the search has widened to find antibodies capable of neutralizing the wide array of variants that have arisen, including Alpha, Beta, Gamma, Delta, and Omicron. The recent rise and dominance of the Omicron family of variants, including the rather disparate BA.1 and BA.2 variants, demonstrate the need to continue to find new approaches to neutralize the rapidly evolving SARS-CoV-2 virus. This review highlights both convalescent plasma- and polyclonal antibody-based approaches as well as the top approximately 50 antibodies to SARS-CoV-2, their epitopes, their ability to bind to SARS-CoV-2 variants, and how they are delivered. New approaches to antibody constructs, including single domain antibodies, bispecific antibodies, IgA- and IgM-based antibodies, and modified ACE2-Fc fusion proteins, are also described. Finally, antibodies being developed for palliative care of COVID-19 disease, including the ramifications of cytokine release syndrome (CRS) and acute respiratory distress syndrome (ARDS), are described.
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Affiliation(s)
| | - Zhiqiang Ku
- Texas Therapeutics Institute, Brown Foundation Institute of Molecular Medicine, The University of Texas Health Sciences Center, Houston, TX USA
| | - Zhiqiang An
- Texas Therapeutics Institute, Brown Foundation Institute of Molecular Medicine, The University of Texas Health Sciences Center, Houston, TX USA
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Focosi D, Franchini M, Tuccori M, Cruciani M. Efficacy of High-Dose Polyclonal Intravenous Immunoglobulin in COVID-19: A Systematic Review. Vaccines (Basel) 2022; 10:94. [PMID: 35062755 PMCID: PMC8779789 DOI: 10.3390/vaccines10010094] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2021] [Revised: 12/30/2021] [Accepted: 01/06/2022] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Although several therapeutic strategies have been investigated, the optimal treatment approach for patients with coronavirus disease (COVID-19) remains to be elucidated. This systematic review and meta-analysis aimed to evaluate the efficacy and safety of polyclonal intravenous immunoglobulin (IVIG) therapy in COVID-19. METHODS A systematic literature search using appropriate medical subject heading (MeSH) terms was performed through Medline (PubMed), EMBASE, SCOPUS, OVID and Cochrane Library electronic databases. The main outcomes considered were mortality and safety of IVIG versus placebo/standard of care. This review was carried out in accordance with Cochrane methodology including the risk bias assessment and grading of the quality of evidence. Measures of treatment effect were mean differences (MD) together with 95% confidence intervals (CIs) for continuous outcome measures and risk ratio (RR) or MD for binary outcomes. Two reviewers independently extracted data from individual studies, and disagreements were resolved by a third reviewer. RESULTS A total of 2401 COVID-19 patients from 10 studies (four randomized controlled trials (RCT) and six non-randomized controlled trials (non-RCTs)) were included in the analysis. Participants received IVIG or placebo/standard of care. The use of IVIG was not associated with a significantly reduced risk of death (RR 0.50, 95% CIs 0.18-1.36, p = 0.17 for RCTs; RR 0.95, 95% CIs 0.61-1.58, p = 0.94 for non-RCTs; low certainty of evidence). IVIG significantly reduced the length of hospital stay (MD -2.24, 95% CIs -3.20/-1.27; p = 0.00001; low certainty of evidence), although this difference was significant only for studies evaluating moderate COVID-19 patients. No significant difference was observed in the incidence of overall and serious adverse events between IVIG recipients and controls (very low certainty of evidence). CONCLUSIONS The current evidence from the literature does not support the use of IVIG in COVID-19 patients.
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Affiliation(s)
- Daniele Focosi
- North-Western Tuscany Blood Bank, Pisa University Hospital, 56124 Pisa, Italy;
| | - Massimo Franchini
- Department of Hematology and Transfusion Medicine, Carlo Poma Hospital, 46100 Mantua, Italy;
| | - Marco Tuccori
- Division of Pharmacology and Pharmacovigilance, University of Pisa, 56126 Pisa, Italy;
- Unit of Adverse Drug Reaction Monitoring, Pisa University Hospital, 56124 Pisa, Italy
| | - Mario Cruciani
- Department of Hematology and Transfusion Medicine, Carlo Poma Hospital, 46100 Mantua, Italy;
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Danieli MG, Piga MA, Paladini A, Longhi E, Mezzanotte C, Moroncini G, Shoenfeld Y. Intravenous immunoglobulin as an important adjunct in the prevention and therapy of coronavirus 2019 disease. Scand J Immunol 2021; 94:e13101. [PMID: 34940980 PMCID: PMC8646640 DOI: 10.1111/sji.13101] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Revised: 08/31/2021] [Accepted: 09/08/2021] [Indexed: 12/15/2022]
Abstract
The coronavirus disease-19 (COVID-19) pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) challenged globally with its morbidity and mortality. A small percentage of affected patients (20%) progress into the second stage of the disease clinically presenting with severe or fatal involvement of lung, heart and vascular system, all contributing to multiple-organ failure. The so-called 'cytokines storm' is considered the pathogenic basis of severe disease and it is a target for treatment with corticosteroids, immunotherapies and intravenous immunoglobulin (IVIg). We provide an overview of the role of IVIg in the therapy of adult patients with COVID-19 disease. After discussing the possible underlying mechanisms of IVIg immunomodulation in COVID-19 disease, we review the studies in which IVIg was employed. Considering the latest evidence that show a link between new coronavirus and autoimmunity, we also discuss the use of IVIg in COVID-19 and anti-SARS-CoV-2 vaccination related autoimmune diseases and the post-COVID-19 syndrome. The benefit of high-dose IVIg is evident in almost all studies with a rapid response, a reduction in mortality and improved pulmonary function in critically ill COVID-19 patients. It seems that an early administration of IVIg is crucial for a successful outcome. Studies' limitations are represented by the small number of patients, the lack of control groups in some and the heterogeneity of included patients. IVIg treatment can reduce the stay in ICU and the demand for mechanical ventilation, thus contributing to attenuate the burden of the disease.
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Affiliation(s)
- Maria Giovanna Danieli
- Clinica Medica, Dipartimento di Medicina Interna, AOU Ospedali Riuniti di Ancona and DISCLIMOUniversità Politecnica delle Marche, Clinica MedicaAnconaItaly
- School of Specialisation in Allergology and Clinical Immunology, Dipartimento di Medicina Interna, AOU Ospedali Riuniti di AnconaUniversità Politecnica delle MarcheAnconaItaly
| | - Mario Andrea Piga
- School of Specialisation in Allergology and Clinical Immunology, Dipartimento di Medicina Interna, AOU Ospedali Riuniti di AnconaUniversità Politecnica delle MarcheAnconaItaly
| | - Alberto Paladini
- School of Specialisation in Internal Medicine, Dipartimento di Medicina Interna, AOU Ospedali Riuniti di AnconaUniversità Politecnica delle MarcheAnconaItaly
| | - Eleonora Longhi
- Scuola di Medicina e ChirurgiaAlma Mater StudiorumUniversità degli Studi di BolognaBolognaItaly
| | - Cristina Mezzanotte
- School of Specialisation in Internal Medicine, Dipartimento di Medicina Interna, AOU Ospedali Riuniti di AnconaUniversità Politecnica delle MarcheAnconaItaly
| | - Gianluca Moroncini
- Clinica Medica, Dipartimento di Medicina Interna, AOU Ospedali Riuniti di Ancona and DISCLIMOUniversità Politecnica delle Marche, Clinica MedicaAnconaItaly
- School of Specialisation in Internal Medicine, Dipartimento di Medicina Interna, AOU Ospedali Riuniti di AnconaUniversità Politecnica delle MarcheAnconaItaly
| | - Yehuda Shoenfeld
- Ariel UniversityArielIsrael
- The Zabludowicz Center for Autoimmune DiseasesSheba Medical CenterRamat GanIsrael
- Saint Petersburg State UniversitySt. PetersburgRussia
- I.M. Sechenov First Moscow State Medical University of the Ministry of Health of the Russian Federation (Sechenov University)MoscowRussia
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10
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Shen Y, Chen D, Huang X, Cai G, Xu Q, Hu C, Yan J, Liu J. Novel phenotypes of coronavirus disease: a temperature-based trajectory model. Ann Intensive Care 2021; 11:121. [PMID: 34342755 PMCID: PMC8330187 DOI: 10.1186/s13613-021-00907-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2021] [Accepted: 07/21/2021] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND Coronavirus disease has heterogeneous clinical features; however, the reasons for the heterogeneity are poorly understood. This study aimed to identify clinical phenotypes according to patients' temperature trajectory. METHOD A retrospective review was conducted in five tertiary hospitals in Hubei Province from November 2019 to March 2020. We explored potential temperature-based trajectory phenotypes and assessed patients' clinical outcomes, inflammatory response, and response to immunotherapy according to phenotypes. RESULTS A total of 1580 patients were included. Four temperature-based trajectory phenotypes were identified: normothermic (Phenotype 1); fever, rapid defervescence (Phenotype 2); gradual fever onset (Phenotype 3); and fever, slow defervescence (Phenotype 4). Compared with Phenotypes 1 and 2, Phenotypes 3 and 4 had a significantly higher C-reactive protein level and neutrophil count and a significantly lower lymphocyte count. After adjusting for confounders, Phenotypes 3 and 4 had higher in-hospital mortality (adjusted odds ratio and 95% confidence interval 2.1, 1.1-4.0; and 3.3, 1.4-8.2, respectively), while Phenotype 2 had similar mortality, compared with Phenotype 1. Corticosteroid use was associated with significantly higher in-hospital mortality in Phenotypes 1 and 2, but not in Phenotypes 3 or 4 (p for interaction < 0.01). A similar trend was observed for gamma-globulin. CONCLUSIONS Patients with different temperature-trajectory phenotypes had different inflammatory responses, clinical outcomes, and responses to corticosteroid therapy.
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Affiliation(s)
- Yanfei Shen
- Department of Intensive Care, Zhejiang Hospital, Hangzhou, Zhejiang, China
| | - Dechang Chen
- Department of Intensive Care, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xinmei Huang
- Department of Internal Medicine, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Guolong Cai
- Department of Intensive Care, Zhejiang Hospital, Hangzhou, Zhejiang, China
| | - Qianghong Xu
- Department of Intensive Care, Zhejiang Hospital, Hangzhou, Zhejiang, China
| | - Caibao Hu
- Department of Intensive Care, Zhejiang Hospital, Hangzhou, Zhejiang, China
| | - Jing Yan
- Department of Intensive Care, Zhejiang Hospital, Hangzhou, Zhejiang, China.
| | - Jiao Liu
- Department of Internal Medicine, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
- Department of Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197 Ruijin 2nd Road, Shanghai, 200025, China.
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