Inhaled corticosteroids in chronic obstructive pulmonary disease: a systematic review and meta-analysis on mortality protection - making a long story short

Chronic obstructive pulmonary disease (COPD) is a leading cause of mortality worldwide, primarily due to persistent airflow limitation from tobacco and biomass smoke exposure. While inhaled corticosteroids (ICS) combined with long-acting bronchodilators, namely long-acting β<sub>2</sub>-adrenoreceptor agonists (LABA) and long-acting muscarinic antagonists (LAMA), are recommended for symptom control and exacerbation reduction, their effect on mortality remains uncertain. Recent randomized controlled trials (RCTs) suggest potential mortality benefits with triple ICS/LABA/LAMA therapy, though findings are not definitive. We conducted a systematic review and network meta-analysis (NMA) to evaluate the impact of ICS-containing therapies on all-cause mortality in COPD. Searches were performed across ClinicalTrials.gov, Cochrane Library, EMBASE, MEDLINE, and SCOPUS, focusing on RCTs measuring mortality as an efficacy outcome. A total of 42,784 COPD patients from five high-quality studies were included. Pairwise meta-analysis showed a significant reduction in all-cause mortality with ICS-containing therapies (RR 0.80, 95% CI 0.68–0.95), particularly with ICS/LABA and ICS/LABA/LAMA combinations. The NMA ranked ICS/LABA/LAMA as the most effective treatment (SUCRA 0.89). This study provides compelling evidence that ICS-containing therapies, particularly triple therapy, significantly reduce all-cause mortality in COPD patients. Future research should identify patient subgroups most likely to benefit while minimizing adverse effects. PROSPERO registration ID: CRD42024607568

Publication Details

Journal
Figshare
Published
2025-01-01
DOI
https://doi.org/10.6084/m9.figshare.28380596.v1
Primary Topic
Chronic Obstructive Pulmonary Disease (COPD) Research
Type
article
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article

Inhaled corticosteroids in chronic obstructive pulmonary disease: a systematic review and meta-analysis on mortality protection - making a long story short

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Chronic Obstructive Pulmonary Disease (COPD) Research
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Inhaled corticosteroids in chronic obstructive pulmonary disease: a systematic review and meta-analysis on mortality protection - making a long story short

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Abstract

Chronic obstructive pulmonary disease (COPD) is a leading cause of mortality worldwide, primarily due to persistent airflow limitation from tobacco and biomass smoke exposure. While inhaled corticosteroids (ICS) combined with long-acting bronchodilators, namely long-acting β<sub>2</sub>-adrenoreceptor agonists (LABA) and long-acting muscarinic antagonists (LAMA), are recommended for symptom control and exacerbation reduction, their effect on mortality remains uncertain. Recent randomized controlled trials (RCTs) suggest potential mortality benefits with triple ICS/LABA/LAMA therapy, though findings are not definitive. We conducted a systematic review and network meta-analysis (NMA) to evaluate the impact of ICS-containing therapies on all-cause mortality in COPD. Searches were performed across ClinicalTrials.gov, Cochrane Library, EMBASE, MEDLINE, and SCOPUS, focusing on RCTs measuring mortality as an efficacy outcome. A total of 42,784 COPD patients from five high-quality studies were included. Pairwise meta-analysis showed a significant reduction in all-cause mortality with ICS-containing therapies (RR 0.80, 95% CI 0.68–0.95), particularly with ICS/LABA and ICS/LABA/LAMA combinations. The NMA ranked ICS/LABA/LAMA as the most effective treatment (SUCRA 0.89). This study provides compelling evidence that ICS-containing therapies, particularly triple therapy, significantly reduce all-cause mortality in COPD patients. Future research should identify patient subgroups most likely to benefit while minimizing adverse effects. PROSPERO registration ID: CRD42024607568

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Inhaled corticosteroids in chronic obstructive pulmonary disease: a systematic review and meta-analysis on mortality protection - making a long story short · Figshare (2025) | TGRS Research Map | TGRS