Description

The study aims to identify actionable clinical factors and develop predictive models that can enhance personalized management approaches for patients with refractory dyspnea in COPD.

This is a prospective observational cohort study designed to characterize patients with COPD who remain symptomatic despite standard inhaled therapy with LABA/LAMA combination. Participants will be enrolled from outpatient clinics and followed over time to assess changes in respiratory symptoms, lung function, exercise capacity, acute exacerbation frequency, and survival.

Key assessments include:

• Baseline demographic and clinical data (e.g., respiratory symptoms, comorbidities, smoking history).
• Pulmonary function tests (spirometry and lung volumes), exercise capacity evaluations, echocardiography, chest radiographs, and computed tomography (CT).
• Biomarker analysis (blood tests including inflammatory and cardiac markers).

Patients will be classified into two groups:

• Refractory COPD group - Patients with minimal improvement in dyspnea (defined as modified Medical Research Council (mMRC) ≥ 2 with <1 point reduction or COPD Assessment Test (CAT) ≥ 10 with <4 point reduction after ≥3 months of LABA/LAMA therapy).
• Control group - Patients showing symptomatic improvement with the same therapy (mMRC <2 or ≥1 point reduction, or CAT <10 or ≥4 point reduction).

The primary analyses will explore clinical and physiological predictors of poor outcomes, using advanced statistical modeling such as linear mixed-effects models for longitudinal lung function trends, negative binomial regression for exacerbation risk, and Cox proportional hazards models for survival analysis.

Assessments

Baseline and follow-up evaluations will include demographic and clinical data, comorbidities, smoking history, inhaler adherence and technique, spirometry, lung volume measurements, 6-minute walk tests, echocardiography, chest radiographs, and high-resolution CT scans. Blood tests will include complete blood count, inflammatory markers (C-reactive protein (CRP), fibrinogen), N-terminal pro-B-type natriuretic peptide (NT-proBNP), and cardiac enzymes.

Statistical Analysis:

Longitudinal trends: Changes in lung function, symptoms, and exercise capacity will be assessed using linear mixed-effects models to evaluate the influence of clinical factors.

Acute exacerbations: The frequency of moderate-to-severe exacerbations will be analyzed using negative binomial regression or zero-inflated models when appropriate.

Mortality: Logistic regression will estimate 1-, 3-, and 5-year mortality risk, while Cox proportional hazards models will evaluate time-to-event outcomes.

Predictive modeling: Candidate biomarkers and imaging features will be incorporated into multivariable predictive models to identify key determinants of poor prognosis.