Improved COPD Mortality Prediction Using Machine Learning in the COPDGene and ECLIPSE Studies

Long-Term Outcome of Chronic Obstructive Pulmonary Disease: A Review

“…The Acute COPD Exacerbation Prediction Tool (ACCEPT), which includes demographic (e.g., sex and age), clinical data (e.g., smoking status, FEV 1 , SGRQ, BMI and oxygen therapy), and medications including inhalers and cardiovascular disease-related statins, showed better performance for exacerbations, regardless of severity, compared to the predictive ability of "previous history of exacerbation" alone62 . Moll et al,63 used the COPDGene and Evaluation of COPD Additionally, lung function decreases as the disease progresses, and exacerbation of respiratory symptoms can occur during the natural course of the disease.Treatment-related adverse effects, such as pneumonia, can also occur and negatively affect COPD prognosis. A decline in lung function, deterioration of respiratory symptoms and exacerbation, exercise intolerance, inactivity, and decreased quality of life influence each other and eventually lead to adverse outcomes over time, resulting in an increased mortality risk.…”