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      The stability of blood Eosinophils in chronic obstructive pulmonary disease

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          Abstract

          Blood eosinophils are a predictive biomarker of inhaled corticosteroid response in chronic obstructive pulmonary disease (COPD). We investigated blood eosinophil stability over 1 year using the Global Initiative for Chronic Obstructive Lung Disease (GOLD) 2019 thresholds of < 100, 100- < 300 and ≥ 300 eosinophils/μL in 225 patients from the COPDMAP cohort. Blood eosinophils showed good stability (rho: 0.71, p < 0.001, ICC 0.84), and 69.3% of patients remained in the same eosinophil category at 1 year. 85.3% of patients with eosinophils < 100 cells/μL had stable counts. The majority of blood eosinophil counts remain stable over 1 year using the GOLD 2019 thresholds.

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          Predictors of exacerbation risk and response to budesonide in patients with chronic obstructive pulmonary disease: a post-hoc analysis of three randomised trials.

          The peripheral blood eosinophil count might help identify those patients with chronic obstructive pulmonary disease (COPD) who will experience fewer exacerbations when taking inhaled corticosteroids (ICS). Previous post-hoc analyses have proposed eosinophil cutoffs that are both arbitrary and limited in evaluating complex interactions of treatment response. We modelled eosinophil count as a continuous variable to determine the characteristics that determine both exacerbation risk and clinical response to ICS in patients with COPD.
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            Blood and sputum eosinophils in COPD; relationship with bacterial load

            Background Sputum and blood eosinophil counts predict corticosteroid effects in COPD patients. Bacterial infection causes increased airway neutrophilic inflammation. The relationship of eosinophil counts with airway bacterial load in COPD patients is uncertain. We tested the hypothesis that bacterial load and eosinophil counts are inversely related. Methods COPD patients were seen at stable state and exacerbation onset. Sputum was processed for quantitative polymerase chain reaction detection of the potentially pathogenic microorganisms (PPM) H. influenzae, M. catarrhalis and S. pneumoniae. PPM positive was defined as total load ≥1 × 104copies/ml. Sputum and whole blood were analysed for differential cell counts. Results At baseline, bacterial counts were not related to blood eosinophils, but sputum eosinophil % was significantly lower in patients with PPM positive compared to PPM negative samples (medians: 0.5% vs. 1.25% respectively, p = 0.01). Patients with PPM positive samples during an exacerbation had significantly lower blood eosinophil counts at exacerbation compared to baseline (medians: 0.17 × 109/L vs. 0.23 × 109/L respectively, p = 0.008), while no blood eosinophil change was observed with PPM negative samples. Conclusions These findings indicate an inverse relationship between bacterial infection and eosinophil counts. Bacterial infection may influence corticosteroid responsiveness by altering the profile of neutrophilic and eosinophilic inflammation. Electronic supplementary material The online version of this article (doi:10.1186/s12931-017-0570-5) contains supplementary material, which is available to authorized users.
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              Stability of Blood Eosinophils in Patients with Chronic Obstructive Pulmonary Disease and in Control Subjects, and the Impact of Sex, Age, Smoking, and Baseline Counts.

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                Author and article information

                Contributors
                gabriella.long@postgrad.manchester.ac.uk
                Journal
                Respir Res
                Respir. Res
                Respiratory Research
                BioMed Central (London )
                1465-9921
                1465-993X
                10 January 2020
                10 January 2020
                2020
                : 21
                : 15
                Affiliations
                [1 ]ISNI 0000000121662407, GRID grid.5379.8, Division of Infection, Immunity and Respiratory Medicine, School of Biological Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, , The University of Manchester, ; Manchester, UK
                [2 ]GRID grid.498924.a, Medicines Evaluation Unit, , Manchester University NHS Foundation Trust, ; Manchester, UK
                [3 ]ISNI 0000 0001 2113 8111, GRID grid.7445.2, National Heart and Lung Institute, Imperial College London, ; London, UK
                [4 ]ISNI 0000 0004 1936 8411, GRID grid.9918.9, Institute for Lung Health, University of Leicester, ; Leicester, UK
                Author information
                http://orcid.org/0000-0001-9286-2887
                Article
                1279
                10.1186/s12931-020-1279-4
                6954589
                31924207
                acb3b8c0-86dd-42da-a19e-7d900ee3189a
                © The Author(s). 2020

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 26 August 2019
                : 5 January 2020
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100014653, Manchester Biomedical Research Centre;
                Categories
                Letter to the Editor
                Custom metadata
                © The Author(s) 2020

                Respiratory medicine
                copd,eosinophil,airway inflammation
                Respiratory medicine
                copd, eosinophil, airway inflammation

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