Drawing inspiration from advances in cardiovascular disease prevention, the respiratory field must adopt a holistic framework that considers the likely shared biologic mechanisms underpinning chronic lung diseases. Effective disease prevention depends on a multi-omic approach that integrates clinical, physiologic, imaging, and molecular data to identify individuals at increased risk for chronic respiratory disease. Prospective evaluation of these at-risk individuals can be utilized to evaluate the impact of targeted preventative strategies.
Selvan et al. (2026) studied this question. A multi-omic approach integrating clinical, imaging, and molecular data can identify individuals at increased risk for chronic respiratory disease to enable targeted prevention.