Article: Analysis of Epidemiological Characteristics of New Cardiovascular Diseases in Cancer Patients with Cardiovascular Disease.
2022 Volume 2022, Page(s) 5157398
Abstract: In cancer patients, a cardiovascular disease (CVD) is a prevalent occurrence. When a patient has both heart disease and cancer, the treatment can be complicated because treatment for one condition can have an adverse effect on the outcome of the other. A ...
Abstract | In cancer patients, a cardiovascular disease (CVD) is a prevalent occurrence. When a patient has both heart disease and cancer, the treatment can be complicated because treatment for one condition can have an adverse effect on the outcome of the other. A cardiovascular disease that involves heart failures, coronary artery disease (CAD), stroke, pericardial diseases, arrhythmias, and valve and vascular dysfunction is a serious worry for long-term cancer patients. Because preclinical research is limited, it is critical to comprehend the pathophysiology of CVD as a consequence of anticancerous therapies while taking into account the developing and expanding heart. As a result, in this research, we look at the epidemiological characteristics of cancer patients who also have cardiovascular illness. Low-dose chest computed tomography, cardiac CT, and cardiac magnetic resonance imaging (MRI) are used to acquire the data and perform the screening. Chemotherapeutic drugs such as anthracyclines and trastuzumab are used to treat the condition. Univariate analysis is used to examine risk factors and predict cardiovascular damage. Sensitivity, specificity, positive predictive value, negative predictive value, life expectancy, left ventricular ejection fraction (LVEF), and longitudinal strain are among the metrics examined. |
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Language | English |
Publishing date | 2022-08-31 |
Publishing country | Egypt |
Document type | Journal Article |
ZDB-ID | 2461349-6 |
ISSN | 1687-8469 ; 1687-8450 |
ISSN (online) | 1687-8469 |
ISSN | 1687-8450 |
DOI | 10.1155/2022/5157398 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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