Abstract 4371106: Artificial Intelligence-Based Machine Learning to Understand the Future of Declining Myocardial Infarction-Related Mortality in the United States: A Time Series Modeling Approach

Introduction: CDC data indicate a steady decline in myocardial infarction (MI) mortality in the U.S. over the past 25 years. This study aims to forecast future MI mortality trends through 2040 and assess potential disparities across racial and gender groups. Accurate forecasting can inform public health strategies, improve resource allocation, and target high-risk populations. Methods: We analyzed MI-related mortality data from the CDC WONDER database from 1999 to 2023, identifying deaths using ICD-10 codes I21 and I22. Crude mortality rates (CMRs) per 100,000 population were calculated and stratified by age, sex, and race. Temporal trends were assessed using annual percent change (APC) and average annual percent change (AAPC), with confidence intervals derived via the empirical quantile method. A Seasonal Autoregressive Integrated Moving Average (SARIMA) model was used to forecast mortality trends through 2040. The model was trained on data from 1999 to 2018 and validated with data from 2019 to 2023 using time series cross-validation. Model accuracy was evaluated using root mean square error (RMSE), and projections were extended to 2040. Results: From 1999 to 2023, the age-adjusted mortality rate (AAMR) for MI declined from 135.04 to 48.55 per 100,000, with an AAPC of −4.32%. Annual MI deaths also dropped from 238,084 in 1999 to 134,187 in 2023. The SARIMA model projects the overall AAMR will decline to 32.33 by 2040, representing a relative reduction (RR) of 33.4% and an AAPC of −2.62% over the forecast period. Gender disparities are expected to widen. The AAMR for females is projected to decline to 16.47 by 2040, while males are expected to reach 35.00—more than twice the rate of females, up from a 1.69-fold difference in 1999 to 2.12-fold by 2040. Racial disparities will persist, though all groups are projected to experience declines. The AAMR for African Americans is forecasted to drop from 57.15 in 2023 to 35.00 in 2040 (AAPC: −2.70%, RR: −38.8%). Among White Americans, the AAMR is projected to decrease from 50.84 to 30.00 (AAPC: −2.81%, RR: −41.0%). Hispanic Americans will see the most significant decline, from 38.00 to 20.00 (AAPC: −3.60%, RR: −47.4%). Conclusions: MI-related mortality in the U.S. is projected to decline substantially through 2040. However, persistent and widening disparities—particularly among males and African Americans—highlight the need for targeted public health strategies to reduce the burden in these high-risk populations.

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Journal
Circulation
Published
2025-11-03
DOI
https://doi.org/10.1161/circ.152.suppl_3.4371106
Primary Topic
Cardiovascular Health and Risk Factors
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article
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Abstract 4371106: Artificial Intelligence-Based Machine Learning to Understand the Future of Declining Myocardial Infarction-Related Mortality in the United States: A Time Series Modeling Approach

Rubab Mansoor, Muhammad Umair Khawar, Ameer Haider Cheema, Salman Saleem Allana et al.
Circulation
Cardiovascular Health and Risk Factors
article

Abstract 4371106: Artificial Intelligence-Based Machine Learning to Understand the Future of Declining Myocardial Infarction-Related Mortality in the United States: A Time Series Modeling Approach

Rubab Mansoor, Muhammad Umair Khawar, Ameer Haider Cheema, Salman Saleem Allana, Hafiza Iman, Muhammad Bilal Hashmat, Mian Uman Anwer, Sana Murtaza, Dawood Ahmed, Tahreem Qasim
article en

Abstract

Introduction: CDC data indicate a steady decline in myocardial infarction (MI) mortality in the U.S. over the past 25 years. This study aims to forecast future MI mortality trends through 2040 and assess potential disparities across racial and gender groups. Accurate forecasting can inform public health strategies, improve resource allocation, and target high-risk populations. Methods: We analyzed MI-related mortality data from the CDC WONDER database from 1999 to 2023, identifying deaths using ICD-10 codes I21 and I22. Crude mortality rates (CMRs) per 100,000 population were calculated and stratified by age, sex, and race. Temporal trends were assessed using annual percent change (APC) and average annual percent change (AAPC), with confidence intervals derived via the empirical quantile method. A Seasonal Autoregressive Integrated Moving Average (SARIMA) model was used to forecast mortality trends through 2040. The model was trained on data from 1999 to 2018 and validated with data from 2019 to 2023 using time series cross-validation. Model accuracy was evaluated using root mean square error (RMSE), and projections were extended to 2040. Results: From 1999 to 2023, the age-adjusted mortality rate (AAMR) for MI declined from 135.04 to 48.55 per 100,000, with an AAPC of −4.32%. Annual MI deaths also dropped from 238,084 in 1999 to 134,187 in 2023. The SARIMA model projects the overall AAMR will decline to 32.33 by 2040, representing a relative reduction (RR) of 33.4% and an AAPC of −2.62% over the forecast period. Gender disparities are expected to widen. The AAMR for females is projected to decline to 16.47 by 2040, while males are expected to reach 35.00—more than twice the rate of females, up from a 1.69-fold difference in 1999 to 2.12-fold by 2040. Racial disparities will persist, though all groups are projected to experience declines. The AAMR for African Americans is forecasted to drop from 57.15 in 2023 to 35.00 in 2040 (AAPC: −2.70%, RR: −38.8%). Among White Americans, the AAMR is projected to decrease from 50.84 to 30.00 (AAPC: −2.81%, RR: −41.0%). Hispanic Americans will see the most significant decline, from 38.00 to 20.00 (AAPC: −3.60%, RR: −47.4%). Conclusions: MI-related mortality in the U.S. is projected to decline substantially through 2040. However, persistent and widening disparities—particularly among males and African Americans—highlight the need for targeted public health strategies to reduce the burden in these high-risk populations.

CirculationVol. 152(Suppl_3)
Punjab Medical College (PK), Southwestern Medical Center (US), Southwestern Medical Center (US), The University of Texas Southwestern Medical Center (US)
Openalex Percentile: Top 52%
Cardiovascular Health and Risk Factors
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