MODELING COPD HETEROGENEITY THROUGH BAYESIAN META-ANALYSIS ACROSS LONGITUDINAL STUDIES

Abstract

The Global Initiative for Chronic Obstructive Lung Disease (GOLD) has introduced a novel multidimensional approach to assess and manage chronic obstructive pulmonary disease (COPD) patients. This approach combines patient-perceived disease impact, airflow limitation severity, and symptom severity, categorizing COPD patients into four groups (A: few symptoms, better lung function; B: more symptoms, better lung function; C: few symptoms, poor lung function; D: more symptoms, poor lung function). Additionally, potential comorbidities are considered to guide therapy decisions.
The traditional assessment of COPD severity based solely on forced expiratory volume in 1 s (FEV1) is deemed inadequate, as it poorly reflects other critical aspects of the disease. Recent clinical trials have indicated that FEV1 cutoff values do not align well with pharmacological treatment. The revised GOLD strategy, although primarily empirical and expert opinion-based, has prompted researchers to investigate its applicability in various COPD cohorts.
This multidimensional approach aims to provide more accurate and tailored therapeutic interventions for COPD patients, acknowledging the disease's heterogeneous nature. The proposed classification system and management guidelines represent a significant step toward improving COPD patient care