Abstract 4146331: Unraveling the Enigma of Acute Myocardial Infarction-Related Mortality in Malignancy Among Older Adults (≥65 years), A Decadal Dive into U.S Trends (1999-2020): A CDC WONDER Database Analysis

Background: Acute Myocardial Infarction (AMI) in malignancy is a significant cause of mortality globally. This study analyzed demographic trends and disparities in mortality rates due to AMI in malignancy among adults aged 65 and older from 1999 to 2020. Methods: A retrospective analysis was performed using death certificate data from the Centers for Disease Control and Prevention database from 1999 to 2020. The analysis utilized ICD* codes I21 for AMI and C00-C97 for malignancies. Age-adjusted mortality rates (AAMRs) were calculated per 100,000 persons, and trends were assessed using Average Annual Percentage Change (AAPC) and annual percent change (APC). Data were stratified by year, sex, race/ethnicity, and geographical regions. Results: Between 1999 and 2020, AMI in malignancy caused 172,691 deaths among U.S. older adults aged ≥65 years. The majority of deaths occurred in medical facilities (56.9%) and at decedents’ homes (24.2%). The overall AAMR for AMI in malignancy-related deaths decreased from 30.2 in 1999 to 14.2 in 2020, with an AAPC of -3.90 (p < 0.000001). Men showed higher AAMRs than women (28.6 vs. 12.3), with a more pronounced decrease in men (AAPC: -4.22, p < 0.000001) compared to women (AAPC: -3.78, p < 0.000001). Racial disparities were significant, with Black individuals having the highest AAMR (22.7), followed by Whites (19.3), American Indians or Alaska Natives (14.4), Hispanics (12.2), and Asians or Pacific Islanders (10.8). The decline in AAMR throughout the study was most pronounced in Black individuals (AAPC: -4.30, p < 0.000001). Geographically, the highest AAMRs were observed in Arkansas (32.3) and the lowest in Nevada (8.1). The Northeastern U.S. had the highest regional AAMR (20.2), followed by the Midwest (19.9), South (18.3), and West (17.4). Nonmetropolitan areas had higher AAMRs than metropolitan areas, though both saw significant declines from 1999 to 2020 (Metropolitan: AAPC: -3.97, p < 0.000001; Nonmetropolitan: AAPC: -2.64, p < 0.000001). Conclusion: This study reveals significant demographic disparities in mortality rates related to AMI in malignant older adults. These findings emphasize the need for targeted interventions and improved access to care to reduce mortality and enhance outcomes in this vulnerable population.

Authors

Institutions

Publication Details

Journal
Circulation
Published
2024-11-12
DOI
https://doi.org/10.1161/circ.150.suppl_1.4146331
Primary Topic
Cardiovascular Health and Risk Factors
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract 4146331: Unraveling the Enigma of Acute Myocardial Infarction-Related Mortality in Malignancy Among Older Adults (≥65 years), A Decadal Dive into U.S Trends (1999-2020): A CDC WONDER Database Analysis

Yasar Sattar, Mustafa Sajjad Cheema, Brijesh Patel, Muhammad Abdullah Naveed et al.
Circulation
Cardiovascular Health and Risk Factors
article

Abstract 4146331: Unraveling the Enigma of Acute Myocardial Infarction-Related Mortality in Malignancy Among Older Adults (≥65 years), A Decadal Dive into U.S Trends (1999-2020): A CDC WONDER Database Analysis

Yasar Sattar, Mustafa Sajjad Cheema, Brijesh Patel, Muhammad Abdullah Naveed, Faizan Ahmed, Muhammad Rehan, Bazil Azeem, Muhammad Saeed Ahmad, Ahila Ali, Rabia Iqbal
article en

Abstract

Background: Acute Myocardial Infarction (AMI) in malignancy is a significant cause of mortality globally. This study analyzed demographic trends and disparities in mortality rates due to AMI in malignancy among adults aged 65 and older from 1999 to 2020. Methods: A retrospective analysis was performed using death certificate data from the Centers for Disease Control and Prevention database from 1999 to 2020. The analysis utilized ICD* codes I21 for AMI and C00-C97 for malignancies. Age-adjusted mortality rates (AAMRs) were calculated per 100,000 persons, and trends were assessed using Average Annual Percentage Change (AAPC) and annual percent change (APC). Data were stratified by year, sex, race/ethnicity, and geographical regions. Results: Between 1999 and 2020, AMI in malignancy caused 172,691 deaths among U.S. older adults aged ≥65 years. The majority of deaths occurred in medical facilities (56.9%) and at decedents’ homes (24.2%). The overall AAMR for AMI in malignancy-related deaths decreased from 30.2 in 1999 to 14.2 in 2020, with an AAPC of -3.90 (p < 0.000001). Men showed higher AAMRs than women (28.6 vs. 12.3), with a more pronounced decrease in men (AAPC: -4.22, p < 0.000001) compared to women (AAPC: -3.78, p < 0.000001). Racial disparities were significant, with Black individuals having the highest AAMR (22.7), followed by Whites (19.3), American Indians or Alaska Natives (14.4), Hispanics (12.2), and Asians or Pacific Islanders (10.8). The decline in AAMR throughout the study was most pronounced in Black individuals (AAPC: -4.30, p < 0.000001). Geographically, the highest AAMRs were observed in Arkansas (32.3) and the lowest in Nevada (8.1). The Northeastern U.S. had the highest regional AAMR (20.2), followed by the Midwest (19.9), South (18.3), and West (17.4). Nonmetropolitan areas had higher AAMRs than metropolitan areas, though both saw significant declines from 1999 to 2020 (Metropolitan: AAPC: -3.97, p < 0.000001; Nonmetropolitan: AAPC: -2.64, p < 0.000001). Conclusion: This study reveals significant demographic disparities in mortality rates related to AMI in malignant older adults. These findings emphasize the need for targeted interventions and improved access to care to reduce mortality and enhance outcomes in this vulnerable population.

CirculationVol. 150(Suppl_1)
West Virginia University (US), CMH Lahore Medical College and Institute of Dentistry (PK), Shaheed Mohtarma Benazir Bhutto Medical University (PK), Dow University of Health Sciences (PK)
Good health and well-being
Openalex Percentile: Top 61%
Cardiovascular Health and Risk Factors
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.