Abstract 4144604: Evaluating the Risk of Cardiomyopathy in Breast Cancer Patients: A National Cohort Study

Introduction: Breast cancer and cardiovascular disease are significant global health concerns for women. Our study is a significant advancement in understanding cardiomyopathy risks associated with breast cancer in the U.S. population. Unlike previous studies focusing mainly on treatment-related cardiomyopathy, our research identifies risks across various cardiomyopathy subtypes in breast cancer patients. This novel approach reveals the intricate relationship between different cardiomyopathies and breast cancer, filling a crucial gap in existing medical research. Moreover, by considering racial disparities, our study offers vital insights into the differential health impacts on diverse demographic groups, enhancing our knowledge of the interplay between these medical fields. Methodology: The research was conducted as a retrospective cohort analysis using data from the National Inpatient Sample (NIS) spanning 2016 to 2019. It targeted female patients over 18 with a diagnosis of breast cancer, carcinoma in situ, or a personal history of breast cancer. Case identification relied on ICD-10 codes. A pivotal aspect of the methodology was implementing propensity score matching to ensure balanced comparison groups, considering variables like age, race, hypertension, and diabetes. Statistical analysis involved logistic regression, Chi-Square tests, and T-tests, executed using 9.4 SAS software. Results: The study compared 589,940 breast cancer patients with an equal number of controls, matched demographically. Comorbidity prevalence was similar in both groups, with slight variations in myocardial infarction and heart failure history. Breast cancer patients exhibited a higher prevalence of cardiomyopathy (4.0% vs. 3.2%), with an increased adjusted odds ratio (OR) especially for dilated, restrictive, and drug-related cardiomyopathies. Interestingly, they had lower odds of obstructive and hypertrophic cardiomyopathy. Racial disparities were evident, with Black patients facing higher risks for most cardiomyopathies, while Hispanic and Asian or Pacific Islander patients showed varied risks. Similar patterns were observed in the control group. Conclusion: The findings highlight a significant link between breast cancer and an elevated risk of cardiomyopathy, advocating for the integration of cardiovascular monitoring into breast cancer management.

Authors

Institutions

Publication Details

Journal
Circulation
Published
2024-11-12
DOI
https://doi.org/10.1161/circ.150.suppl_1.4144604
Primary Topic
Chemotherapy-induced cardiotoxicity and mitigation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract 4144604: Evaluating the Risk of Cardiomyopathy in Breast Cancer Patients: A National Cohort Study

Hashim Al‐Ani, Saeed Abughazaleh, Allison Tong, Mohammad Tarawneh et al.
Circulation
Chemotherapy-induced cardiotoxicity and mitigation
article

Abstract 4144604: Evaluating the Risk of Cardiomyopathy in Breast Cancer Patients: A National Cohort Study

Hashim Al‐Ani, Saeed Abughazaleh, Allison Tong, Mohammad Tarawneh, Mohd A. Daise, Omar S. Obeidat, Qusai Alqudah, M. Ben Ismail
article en

Abstract

Introduction: Breast cancer and cardiovascular disease are significant global health concerns for women. Our study is a significant advancement in understanding cardiomyopathy risks associated with breast cancer in the U.S. population. Unlike previous studies focusing mainly on treatment-related cardiomyopathy, our research identifies risks across various cardiomyopathy subtypes in breast cancer patients. This novel approach reveals the intricate relationship between different cardiomyopathies and breast cancer, filling a crucial gap in existing medical research. Moreover, by considering racial disparities, our study offers vital insights into the differential health impacts on diverse demographic groups, enhancing our knowledge of the interplay between these medical fields. Methodology: The research was conducted as a retrospective cohort analysis using data from the National Inpatient Sample (NIS) spanning 2016 to 2019. It targeted female patients over 18 with a diagnosis of breast cancer, carcinoma in situ, or a personal history of breast cancer. Case identification relied on ICD-10 codes. A pivotal aspect of the methodology was implementing propensity score matching to ensure balanced comparison groups, considering variables like age, race, hypertension, and diabetes. Statistical analysis involved logistic regression, Chi-Square tests, and T-tests, executed using 9.4 SAS software. Results: The study compared 589,940 breast cancer patients with an equal number of controls, matched demographically. Comorbidity prevalence was similar in both groups, with slight variations in myocardial infarction and heart failure history. Breast cancer patients exhibited a higher prevalence of cardiomyopathy (4.0% vs. 3.2%), with an increased adjusted odds ratio (OR) especially for dilated, restrictive, and drug-related cardiomyopathies. Interestingly, they had lower odds of obstructive and hypertrophic cardiomyopathy. Racial disparities were evident, with Black patients facing higher risks for most cardiomyopathies, while Hispanic and Asian or Pacific Islander patients showed varied risks. Similar patterns were observed in the control group. Conclusion: The findings highlight a significant link between breast cancer and an elevated risk of cardiomyopathy, advocating for the integration of cardiovascular monitoring into breast cancer management.

CirculationVol. 150(Suppl_1)
St. Elizabeth's Medical Center (US)
Good health and well-being
Openalex Percentile: Top 62%
Chemotherapy-induced cardiotoxicity and mitigation
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.