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      Longitudinal Cytokine Profile in Patients With Mild to Critical COVID-19

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          Abstract

          The cytokine release syndrome has been proposed as the driver of inflammation in coronavirus disease 2019 (COVID-19). However, studies on longitudinal cytokine profiles in patients across the whole severity spectrum of COVID-19 are lacking. In this prospective observational study on adult COVID-19 patients admitted to two Hong Kong public hospitals, cytokine profiling was performed on blood samples taken during early phase (within 7 days of symptom onset) and late phase (8 to 12 days of symptom onset). The primary objective was to evaluate the difference in early and late cytokine profiles among patient groups with different disease severity. The secondary objective was to assess the associations between cytokines and clinical endpoints in critically ill patients. A total of 40 adult patients (mild = 8, moderate = 15, severe/critical = 17) hospitalized with COVID-19 were included in this study. We found 22 cytokines which were correlated with disease severity, as proinflammatory Th1-related cytokines (interleukin (IL)-18, interferon-induced protein-10 (IP-10), monokine-induced by gamma interferon (MIG), and IL-10) and ARDS-associated cytokines (IL-6, monocyte chemoattractant protein-1 (MCP-1), interleukin-1 receptor antagonist (IL-1RA), and IL-8) were progressively elevated with increasing disease severity. Furthermore, 11 cytokines were consistently different in both early and late phases, including seven (growth-regulated oncogene-alpha (GRO-α), IL-1RA, IL-6, IL-8, IL-10, IP-10, and MIG) that increased and four (FGF-2, IL-5, macrophage-derived chemokine (MDC), and MIP-1α) that decreased from mild to severe/critical patients. IL-8, followed by IP-10 and MDC were the best performing early biomarkers to predict disease severity. Among critically ill patients, MCP-1 predicted the duration of mechanical ventilation, highest norepinephrine dose administered, and length of intensive care stay.

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          Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China

          Summary Background A recent cluster of pneumonia cases in Wuhan, China, was caused by a novel betacoronavirus, the 2019 novel coronavirus (2019-nCoV). We report the epidemiological, clinical, laboratory, and radiological characteristics and treatment and clinical outcomes of these patients. Methods All patients with suspected 2019-nCoV were admitted to a designated hospital in Wuhan. We prospectively collected and analysed data on patients with laboratory-confirmed 2019-nCoV infection by real-time RT-PCR and next-generation sequencing. Data were obtained with standardised data collection forms shared by WHO and the International Severe Acute Respiratory and Emerging Infection Consortium from electronic medical records. Researchers also directly communicated with patients or their families to ascertain epidemiological and symptom data. Outcomes were also compared between patients who had been admitted to the intensive care unit (ICU) and those who had not. Findings By Jan 2, 2020, 41 admitted hospital patients had been identified as having laboratory-confirmed 2019-nCoV infection. Most of the infected patients were men (30 [73%] of 41); less than half had underlying diseases (13 [32%]), including diabetes (eight [20%]), hypertension (six [15%]), and cardiovascular disease (six [15%]). Median age was 49·0 years (IQR 41·0–58·0). 27 (66%) of 41 patients had been exposed to Huanan seafood market. One family cluster was found. Common symptoms at onset of illness were fever (40 [98%] of 41 patients), cough (31 [76%]), and myalgia or fatigue (18 [44%]); less common symptoms were sputum production (11 [28%] of 39), headache (three [8%] of 38), haemoptysis (two [5%] of 39), and diarrhoea (one [3%] of 38). Dyspnoea developed in 22 (55%) of 40 patients (median time from illness onset to dyspnoea 8·0 days [IQR 5·0–13·0]). 26 (63%) of 41 patients had lymphopenia. All 41 patients had pneumonia with abnormal findings on chest CT. Complications included acute respiratory distress syndrome (12 [29%]), RNAaemia (six [15%]), acute cardiac injury (five [12%]) and secondary infection (four [10%]). 13 (32%) patients were admitted to an ICU and six (15%) died. Compared with non-ICU patients, ICU patients had higher plasma levels of IL2, IL7, IL10, GSCF, IP10, MCP1, MIP1A, and TNFα. Interpretation The 2019-nCoV infection caused clusters of severe respiratory illness similar to severe acute respiratory syndrome coronavirus and was associated with ICU admission and high mortality. Major gaps in our knowledge of the origin, epidemiology, duration of human transmission, and clinical spectrum of disease need fulfilment by future studies. Funding Ministry of Science and Technology, Chinese Academy of Medical Sciences, National Natural Science Foundation of China, and Beijing Municipal Science and Technology Commission.
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            Characteristics of and Important Lessons From the Coronavirus Disease 2019 (COVID-19) Outbreak in China: Summary of a Report of 72 314 Cases From the Chinese Center for Disease Control and Prevention

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              Clinical and immunologic features in severe and moderate Coronavirus Disease 2019

              Journal of Clinical Investigation
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                Author and article information

                Contributors
                Journal
                Front Immunol
                Front Immunol
                Front. Immunol.
                Frontiers in Immunology
                Frontiers Media S.A.
                1664-3224
                06 December 2021
                2021
                06 December 2021
                : 12
                : 763292
                Affiliations
                [1] 1 Department of Anaesthesia and Intensive Care, The Chinese University of Hong Kong , Hong Kong, Hong Kong SAR, China
                [2] 2 Department of Microbiology, The Chinese University of Hong Kong , Hong Kong, Hong Kong SAR, China
                [3] 3 Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong , Hong Kong, Hong Kong SAR, China
                [4] 4 Stanley Ho Centre for Emerging Infectious Diseases, The Chinese University of Hong Kong , Hong Kong, Hong Kong SAR, China
                [5] 5 Department of Chemical Pathology, The Chinese University of Hong Kong , Hong Kong, Hong Kong SAR, China
                [6] 6 Department of Medicine and Geriatrics, United Christian Hospital , Hong Kong, Hong Kong SAR, China
                [7] 7 Department of Pathology, United Christian Hospital , Hong Kong, Hong Kong SAR, China
                Author notes

                Edited by: Jay Bream, Johns Hopkins University, United States

                Reviewed by: Shetty Ravi Dyavar, University of Nebraska Medical Center, United States; Paolo Fagone, University of Catania, Italy

                *Correspondence: Paul K. S. Chan, paulkschan@ 123456cuhk.edu.hk

                †These authors have contributed equally to this work and share first authorship

                This article was submitted to Viral Immunology, a section of the journal Frontiers in Immunology

                Article
                10.3389/fimmu.2021.763292
                8685399
                34938289
                a03886d4-de71-4c26-8bad-6f707acfa5be
                Copyright © 2021 Ling, Chen, Lui, Wong, Wong, Ng, Tso, Fung, Chan, Yeung, Hui and Chan

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 23 August 2021
                : 05 November 2021
                Page count
                Figures: 5, Tables: 1, Equations: 0, References: 58, Pages: 11, Words: 4731
                Funding
                Funded by: Health and Medical Research Fund , doi 10.13039/501100005847;
                Award ID: COVID190107
                Categories
                Immunology
                Original Research

                Immunology
                chemokine,immune,biomarker,sars-cov-2,coronavirus,host response
                Immunology
                chemokine, immune, biomarker, sars-cov-2, coronavirus, host response

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