SynthesisRespiratory research2020
Blood eosinophil count, a marker of inhaled corticosteroid effectiveness in preventing COPD exacerbations in post-hoc RCT and observational studies: systematic review and meta-analysis.
Synthesis in Respiratory research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 2 of them syntheses that pooled it.
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Who cites it
46 citing papers in PubMed, 2 syntheses or guidelines pooled it, 91 citations in OpenAlex.
- Withdrawal of Inhaled Corticosteroids from Patients with COPD; Effect on Exacerbation Frequency and Lung Function: A Systematic Review.International journal of chronic obstructive pulmonary disease · 2024Pooled it
- The association between inhaled corticosteroid and the risks of SARS-COV-2 infection: A systematic review and meta-analysis.Journal of infection and public health · 2023Pooled it
- Withdrawal of inhaled corticosteroids from patients with COPD with mild or moderate airflow limitation in primary care: a feasibility randomised trial.BMJ open respiratory research · 2022Trial
- Multidimensional Inflammatory Biomarker Profiling in COPD: A Latent Inflammatory Construct Associated with Disease Severity and Exacerbation Burden.Diagnostics (Basel, Switzerland) · 2026Article
- Blood eosinophil count and intensive care unit admission in patients hospitalized for acute exacerbation of COPD: a retrospective cohort study.BMC pulmonary medicine · 2026Article
- Review
- Prevalence of blood eosinophilia and its impact on lung functions in stable chronic obstructive pulmonary disease patients.Lung India : official organ of Indian Chest Society · 2026Article
- Blood eosinophil counts and postoperative outcomes in early-stage lung cancer: a retrospective cohort study.Respiratory research · 2026Article
- Beyond Triple Therapy: Anti-Type 2 Biologic Therapies for Eosinophilic COPD and Respiratory Comorbidities - a Review of Clinical Evidence.Current allergy and asthma reports · 2026Review
- Blood eosinophil count as a biomarker for therapy guidance in COPD and asthma exacerbations.Breathe (Sheffield, England) · 2026Article
- Persistently low blood eosinophils identify a high-risk phenotype in COPD.BMC pulmonary medicine · 2026Article
- Inflammatory phenotype drives different immunosuppressive response in COPD exacerbations.BMC pulmonary medicine · 2026Article
- Identification of Clinically Distinct Clusters in Patients With Severe COPD Using Circulating Blood Cell Population Parameters.Respirology (Carlton, Vic.) · 2026Article
- Type 2 inflammation in chronic obstructive pulmonary disease: A promising treatable trait and practice recommendations.Chinese medical journal pulmonary and critical care medicine · 2025Article
- Toward precision medicine in COPD: phenotypes, endotypes, biomarkers, and treatable traits.Respiratory research · 2025Review
- Effect of benralizumab treatment on the airway microbiome in COPD.ERJ open research · 2025Article
- Εosinophilic Chronic Obstructive Pulmonary Disease. What Do We Know So Far?Pulmonary therapy · 2025Review
- Exploring the pathogenesis and clinical implications of asthma, chronic obstructive pulmonary disease (COPD), and asthma-COPD overlap (ACO): a narrative review.Frontiers in medicine · 2025Review
- Eosinophilic inflammation: a key player in COPD pathogenesis and progression.Annals of medicine · 2024Review
- Impact of blood eosinophil count on clinical outcomes in hospitalized Syrian patients with COPD exacerbation.The Journal of international medical research · 2024Article
Corrections and comments
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
Abstract
backgroundBlood eosinophil count has been proposed as a predictor of response to inhaled corticosteroid (ICS) in the prevention of acute exacerbations of COPD. An optimal threshold of blood eosinophil count for prescribing ICS has not been agreed. Doubt has been cast on the role by observational studies. The role of inhaled corticosteroids in this relationship, independent of long-acting bronchodilators, has not been examined.
methodsWe conducted a systematic review of post-hoc analyses of randomised controlled trials (RCTs) and observational studies examining three blood eosinophil thresholds and the independent role of ICS. Included studies were categorised by the form (relative or absolute count) and cut point of eosinophil threshold used. Thresholds assessed were relative eosinophil count of 2%, and absolute counts of 150 cells/μL and 300 cells/μL. Three meta-analyses of the effect of ICS use in post-hoc analyses of RCTs based on these counts were carried out. Initial analysis included all studies of ICS vs. any non-ICS regimen. Further analysis examined the effect of ICS, independent of the effect of long-acting bronchodilators.
resultsSixteen studies examined the association between blood eosinophil count and response of exacerbation risk to ICS, in COPD patients. Eleven studies (25,881 patients) were post-hoc analyses of RCTs. Five studies (109,704 patients) were retrospective observational studies. The independent effect of ICS on the reduction of exacerbation risk was 20% at ≥2% blood eosinophil threshold (RR, 0.80; 95% CI, 0.74-0.85), 35% at ≥150 cells/μL blood eosinophil threshold (RR, 0.65; 0.52-0.79), and 39% at ≥300 cells/μL blood eosinophil threshold (RR, 0.61; 0.44-0.78). No association was found in four out of five observational studies.
conclusionThis is the first systematic review to assess, in post-hoc analyses of RCTs, the independent effect of ICS in reducing the risk of COPD exacerbation across a range of blood eosinophil thresholds. Association between ICS prescription and reduced exacerbation risk at these thresholds was confirmed. The lack of association found in the observational studies questions the relevance of these observations to a "real world" COPD population. To clarify the clinical utility of this biomarker, the association should be tested in prospective effectiveness studies.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.