<2>New Risk Prediction Model for Managing COPD in Primary Care
<3>Chronic Obstructive Pulmonary Disease (COPD): A Leading Cause of Morbidity and Mortality
COPD is a leading cause of morbidity and mortality worldwide, frequently seen in primary care. Guidelines are moving towards risk stratified treatment recommendations, where patients with a greater risk of deteriorating over the next year should be offered more aggressive therapy, whereas those patients who will likely remain stable over the next year might do equally well on lighter touch therapy. Implementing this approach requires sufficiently accurate risk prediction tools.
<3>The Need for Accurate Risk Prediction Tools
Theoretically, accurate risk prediction tools would enable healthcare providers to tailor treatment plans to individual patients’ needs, improving outcomes and reducing healthcare costs. However, developing such tools is a complex task, requiring large datasets and sophisticated statistical analysis.
<3>The BLISS Score: A New Risk Prediction Model for COPD
In a linked study (doi:10.1136/bmj-2025-084521), Jordan and colleagues present the new BLISS score that can be used in primary care among patients with COPD to predict the risk of developing exacerbations severe enough to warrant hospital admission in the next two
