Short-Term Longitudinal Variation in FeNO Predicts Future Moderate-to-Severe Exacerbations in COPD Patients on Triple Therapy: A Prospective Cohort Study

Background Fractional exhaled nitric oxide (FeNO) reflects type 2 airway inflammation, yet the prognostic utility of longitudinal FeNO changes in chronic obstructive pulmonary disease (COPD) remains unclear. We aim to explore whether 6-month FeNO-variation patterns predict subsequent moderate-to-severe exacerbations in COPD patients receiving triple therapy. Methods We prospectively evaluated COPD patients receiving triple inhaled therapy from 2023 to 2024. Four FeNO-related variables used to derive FeNO-variation phenotypes via K-means unsupervised clustering. Results Three distinct FeNO-variation phenotypes were identified: a High FeNO–Persistently Elevated subtype (Cluster 1, 11.2%), a High FeNO–Declining subtype (Cluster 2, 20.3%), and a Low FeNO–Stable subtype (Cluster 3, 68.5%). During 6–12 months follow up, 75 patients (33.8%) experienced a moderate-to-severe exacerbation. Compared with Cluster 3, both Cluster 1 (OR 6.97, 95% CI 2.38–20.47) and Cluster 2 (OR 20.08, 95% CI 7.01–57.58) were independently associated with future exacerbations (P<0.001). The final prediction model incorporating FeNO variation phenotypes demonstrated excellent discrimination (AUC 0.889) and provided greater net clinical benefit than models using traditional clinical predictors alone (p=0.004). Subgroup analyses revealed consistent effect sizes across categories of age, prior-year exacerbations, baseline FEV 1 % predicted, symptom burden, smoking status, and proportion of days covered (PDC), supporting the robustness and internal consistency of the FeNO-variation phenotyping approach. Conclusion Short-term longitudinal FeNO variation over 6 months was independently associated with future moderate-to-severe exacerbations in COPD patients receiving triple therapy, supporting risk stratification and hypothesis generation for future interventional studies rather than direct treatment guidance.

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Journal
ERJ Open Research
Published
2026-04-16
DOI
https://doi.org/10.1183/23120541.01774-2025
Primary Topic
Chronic Obstructive Pulmonary Disease (COPD) Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Short-Term Longitudinal Variation in FeNO Predicts Future Moderate-to-Severe Exacerbations in COPD Patients on Triple Therapy: A Prospective Cohort Study

Yanmei Ye, Haijin Zhao, Junwen Huang, Zhaoqian Gong et al.
ERJ Open Research
Chronic Obstructive Pulmonary Disease (COPD) Research
article

Short-Term Longitudinal Variation in FeNO Predicts Future Moderate-to-Severe Exacerbations in COPD Patients on Triple Therapy: A Prospective Cohort Study

Yanmei Ye, Haijin Zhao, Junwen Huang, Zhaoqian Gong, Wenqu Zhao, Yuling Hu, H K Huang, Liyu Yang, Meijia Chen, Xueying Zhao, Guilin Xu, Ying Chen, Junrao Wang
article en

Abstract

Background Fractional exhaled nitric oxide (FeNO) reflects type 2 airway inflammation, yet the prognostic utility of longitudinal FeNO changes in chronic obstructive pulmonary disease (COPD) remains unclear. We aim to explore whether 6-month FeNO-variation patterns predict subsequent moderate-to-severe exacerbations in COPD patients receiving triple therapy. Methods We prospectively evaluated COPD patients receiving triple inhaled therapy from 2023 to 2024. Four FeNO-related variables used to derive FeNO-variation phenotypes via K-means unsupervised clustering. Results Three distinct FeNO-variation phenotypes were identified: a High FeNO–Persistently Elevated subtype (Cluster 1, 11.2%), a High FeNO–Declining subtype (Cluster 2, 20.3%), and a Low FeNO–Stable subtype (Cluster 3, 68.5%). During 6–12 months follow up, 75 patients (33.8%) experienced a moderate-to-severe exacerbation. Compared with Cluster 3, both Cluster 1 (OR 6.97, 95% CI 2.38–20.47) and Cluster 2 (OR 20.08, 95% CI 7.01–57.58) were independently associated with future exacerbations (P<0.001). The final prediction model incorporating FeNO variation phenotypes demonstrated excellent discrimination (AUC 0.889) and provided greater net clinical benefit than models using traditional clinical predictors alone (p=0.004). Subgroup analyses revealed consistent effect sizes across categories of age, prior-year exacerbations, baseline FEV 1 % predicted, symptom burden, smoking status, and proportion of days covered (PDC), supporting the robustness and internal consistency of the FeNO-variation phenotyping approach. Conclusion Short-term longitudinal FeNO variation over 6 months was independently associated with future moderate-to-severe exacerbations in COPD patients receiving triple therapy, supporting risk stratification and hypothesis generation for future interventional studies rather than direct treatment guidance.

ERJ Open Research
Chaohu Hospital of Anhui Medical University (CN), Southern Medical University (CN)
National Natural Science Foundation of China, Basic and Applied Basic Research Foundation of Guangdong Province
Reduced inequalities, Peace, Justice and strong institutions
Openalex Percentile: Top 20%
Chronic Obstructive Pulmonary Disease (COPD) Research
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