Bayesian Model Projecting Cardiovascular Disease Related Mortality Trends in the United States

Area of Science:

• Epidemiology
• Public Health
• Biostatistics

Background:

• Cardiovascular disease mortality trends have significant public health implications.
• Accurate projections are needed for effective health resource allocation.
• Focus on ischemic heart disease (IHD), cerebrovascular disease (CeVD), and heart failure (HF) in adults aged 40-79.

Purpose of the Study:

• To project future mortality rates for IHD, CeVD, and HF in the US adult population (40-79 years).
• To inform public health strategies and resource allocation based on projected cardiovascular disease mortality trends.

Main Methods:

• Utilized population-level data from the CDC WONDER database (2000-2019).
• Linked mortality data with US population estimates (2000-2035).
• Employed Bayesian age-period-cohort models to project age-standardized mortality rates (aSMR) up to 2035.

Main Results:

• The US population aged 40-79 is projected to increase by 16% by 2035.
• IHD aSMR is expected to decrease from 111.9 in 2019 to 81.8 in 2035.
• CeVD aSMR is projected to remain stable (37.4 in 2019 to 38.6 in 2035).
• HF aSMR is projected to significantly increase from 16.5 in 2019 to 30.9 in 2035 across all age groups.

Conclusions:

• Projected decrease in IHD mortality and stable CeVD mortality rates between 2020 and 2035.
• Anticipated substantial increase in heart failure mortality rates necessitates proactive public health planning.
• Data provides crucial insights for future public health initiatives and resource allocation.