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      Neutrophil–lymphocyte ratio as an early new marker in AIV-H7N9-infected patients: a retrospective study

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          Abstract

          Background: Avian AIV-H7N9 influenza progresses rapidly and has a high fatality rate. However, it lacks an early effective biomarker to predict disease severity and fatal outcomes successfully. Our study aimed to explore whether the neutrophil-to-lymphocyte ratio (NLR) taken within 24 h after admission can predict disease severity and fatality in AIV-H7N9-infected patients.

          Methods: We retrospectively studied 237 AIV-H7N9-infected patients from multiple centers from 2013 to 2015. We used univariate analysis and multivariate analysis to compare clinical variables between the survival and fatal groups to evaluate the prognostic value.

          Results: The NLR taken within 24 h after admission in the fatal group was significantly higher than that in the survival group ( P<0.01). Our study found that NLR was independently associated with fatality. The area under the curve (AUC) of the NLR was 0.70, and moreover, when the NLR =19.94, the specificity was 100%, and the sensitivity was 28.4%. The fatality in the NLR ≥19.94 group was significantly increased relative to the patients with an NLR <19.94 ( P<0.05).

          Conclusion: The NLR is potentially a predictive prognostic biomarker in patients infected with the AIV-H7N9 influenza virus.

          Most cited references44

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          Epidemiology of Human Infections with Avian Influenza A(H7N9) Virus in China

          New England Journal of Medicine, 370(6), 520-532
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            Neutrophil-Derived Cytokines: Facts Beyond Expression

            Polymorphonuclear neutrophils, besides their involvement in primary defense against infections – mainly through phagocytosis, generation of toxic molecules, release of enzymes, and formation of extracellular traps – are also becoming increasingly important for their contribution to the fine regulation in development of inflammatory and immune responses. These latter functions of neutrophils occur, in part, via their de novo production and release of a large variety of cytokines, including chemotactic cytokines (chemokines). Accordingly, the improvement in technologies for molecular and functional cell analysis, along with concomitant advances in cell purification techniques, have allowed the identification of a continuously growing list of neutrophil-derived cytokines, as well as the characterization of their biological implications in vitro and/or in vivo. This short review summarizes crucial concepts regarding the modalities of expression, release, and regulation of neutrophil-derived cytokines. It also highlights examples illustrating the potential implications of neutrophil-derived cytokines according to recent observations made in humans and/or in experimental animal models.
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              NET balancing: a problem in inflammatory lung diseases

              Neutrophil extracellular traps (NETs) are beneficial antimicrobial defense structures that can help fight against invading pathogens in the host. However, recent studies reveal that NETs exert adverse effects in a number of diseases including those of the lung. Many inflammatory lung diseases are characterized with a massive influx of neutrophils into the airways. Neutrophils contribute to the pathology of these diseases. To date, NETs have been identified in the lungs of cystic fibrosis (CF), acute lung injury (ALI), allergic asthma, and lungs infected with bacteria, virus, or fungi. These microbes and several host factors can stimulate NET formation, or NETosis. Different forms of NETosis have been identified and are dependent on varying types of stimuli. All of these pathways however appear to result in the formation of NETs that contain DNA, modified extracellular histones, proteases, and cytotoxic enzymes. Some of the NET components are immunogenic and damaging to host tissue. Innate immune collectins, such as pulmonary surfactant protein D (SP-D), bind NETs, and enhance the clearance of dying cells and DNA by alveolar macrophages. In many inflammatory lung diseases, bronchoalveolar SP-D levels are altered and its deficiency results in the accumulation of DNA in the lungs. Some of the other therapeutic molecules under consideration for treating NET-related diseases include DNases, antiproteases, myeloperoxidase (MPO) inhibitors, peptidylarginine deiminase-4 inhibitors, and anti-histone antibodies. NETs could provide important biological advantage for the host to fight against certain microbial infections. However, too much of a good thing can be a bad thing. Maintaining the right balance of NET formation and reducing the amount of NETs that accumulate in tissues are essential for harnessing the power of NETs with minimal damage to the hosts.
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                Author and article information

                Journal
                Ther Clin Risk Manag
                Ther Clin Risk Manag
                TCRM
                tcriskman
                Therapeutics and Clinical Risk Management
                Dove
                1176-6336
                1178-203X
                24 July 2019
                2019
                : 15
                : 911-919
                Affiliations
                [1 ]The State Key Laboratory for Diagnosis and Treatment of Infectious Disease, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Department of Infectious Disease, The First Affiliated Hospital, College of Medicine, Zhejiang University , Hangzhou, Zhejiang Province, People’s Republic of China
                [2 ]Department of Infectious Disease, Shulan Hospital , Hangzhou, Zhejiang Province, People’s Republic of China
                [3 ]Department of Infectious Disease, The First Affiliated Hospital, Medical College of Soochow University , Suzhou, Jiangsu Province, People’s Republic of China
                [4 ]Department of Infectious Disease, Shanghai Public Health Clinical Center, Fudan University , Shanghai, People’s Republic of China
                [5 ]Department of Infectious Disease, Central Hospital of Huzhou , Zhejiang, People’s Republic of China
                [6 ]Department of Infectious Disease, Huashan Hospital, Fudan University , Shanghai, People’s Republic of China
                [7 ]Department of Infectious Disease, Jiangsu Province People’s Hospital , Jiangsu, People’s Republic of China
                [8 ]Department of Infectious Disease, Ningbo No.2 Hospital , Ningbo, Zhejiang Province, People’s Republic of China
                Author notes
                Correspondence: Lanjuan LiThe State Key Laboratory for Diagnosis and Treatment of Infectious Disease, Department of Infectious Disease, The First Affiliated of Hospital, College of Medicine, Zhejiang University , Hangzhou 310000, People’s Republic of ChinaEmail ljli@ 123456zju.edu.cn
                Article
                206930
                10.2147/TCRM.S206930
                6661995
                31413580
                bd8854c6-881b-4535-84bf-3c035ca17e96
                © 2019 Zhang et al.

                This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License ( http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms ( https://www.dovepress.com/terms.php).

                History
                : 27 February 2019
                : 08 May 2019
                Page count
                Figures: 2, Tables: 2, References: 57, Pages: 9
                Categories
                Original Research

                Medicine
                nlr (neutrophil-to-lymphocyte ratio),influenza a,aiv-h7n9,biomarker
                Medicine
                nlr (neutrophil-to-lymphocyte ratio), influenza a, aiv-h7n9, biomarker

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