SPIROMICS HF: Rationale, Design, and Reproducibility of Measures

Area of Science:

• Cardiology
• Pulmonology
• Medical Imaging

Background:

• Chronic obstructive pulmonary disease (COPD) and heart failure with preserved ejection fraction (HFpEF) frequently coexist, presenting overlapping clinical symptoms.
• These conditions are often studied independently, hindering a comprehensive understanding of their interactions.
• The SPIROMICS HF study addresses this gap by investigating the complex relationship between pulmonary and cardiovascular phenotypes.

Purpose of the Study:

• To test hypotheses linking computed tomography (CT) emphysema subtypes to specific cardiovascular phenotypes like cor pulmonale.
• To examine associations between airway branch variants and right heart dysfunction.
• To identify signs of increased left ventricular afterload in individuals with preserved spirometry despite significant smoking history.

Main Methods:

• Utilized data from the SPIROMICS multicenter observational study, focusing on participants from visit 5.
• Employed comprehensive speckle-tracking echocardiography with physiological perturbations (leg raise, exercise) and cardiopulmonary magnetic resonance imaging (MRI) including myocardial fibrosis sequences.
• Integrated CT scans for coronary artery calcium assessment and administered the Kansas City Cardiomyopathy Questionnaire.

Main Results:

• The study included 753 participants: 57% with COPD (mild, moderate, severe), 18% with symptomatic preserved spirometry, 16% smoking controls, and 8% nonsmoking controls.
• Demonstrated good-to-excellent reproducibility for speckle-tracking echocardiography, exercise echocardiography, and MRI measures, even in severe COPD.
• Established a robust dataset for analyzing cardiopulmonary interactions.

Conclusions:

• SPIROMICS HF successfully characterized cardiopulmonary interactions in COPD and related phenotypes.
• The study provides a foundation for developing targeted treatments for combined cardiopulmonary failure.
• Understanding these interactions is crucial for improving patient outcomes in complex cardiorespiratory diseases.