Comorbidity Networks in Cardiovascular Diseases

Area of Science:

• Cardiovascular Medicine
• Medical Genetics
• Network Science

Background:

• Cardiovascular diseases (CVDs) are a leading global cause of mortality.
• CVD lethality is linked to systemic failure and metabolic connections, leading to comorbidities.
• Understanding genetic interactions in CVD comorbidities is crucial for complex disease management.

Purpose of the Study:

• To investigate comorbidity patterns and genetic interactions in cardiovascular diseases.
• To analyze disease networks and modules in a large cohort at a national reference hospital in Mexico.

Main Methods:

• Cross-sectional study of 34,099 discharged cases from the National Institute of Cardiology.
• Construction of cardiovascular comorbidity networks and identification of modules.
• Data mining of ClinVar database for genetic associations and pathway enrichment analysis.

Main Results:

• Comorbidity networks are centralized around prevalent diseases like arrhythmias, heart failure, CKD, hypertension, and ischemic diseases.
• Networks exhibit modular connectivity, grouping diseases with shared physiopathology (e.g., ischemic diseases, systemic diseases, congenital malformations).
• Identified genetic and environmental commonalities underlying relationships within these modules.

Conclusions:

• The methodology aids clinicians in identifying non-evident comorbidities for improved therapeutic designs.
• Continued analysis of these patterns offers clinical and basic insights into cardiovascular diseases.
• This approach can advance understanding and lead to better integrated therapeutic strategies.