ArticleTexas Heart Institute journal2009
Myocardial perfusion imaging and cardiovascular outcomes in a cancer population.
Article in Texas Heart Institute journal, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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Who cites it
9 citing papers in PubMed.
- Myocardial blood flow in newly diagnosed breast cancer patients at rest and during exercise.iScience · 2024Article
- Nuclear medicine in the assessment and prevention of cancer therapy-related cardiotoxicity: prospects and proposal of use by the European Association of Nuclear Medicine (EANM).European journal of nuclear medicine and molecular imaging · 2023Article
- Chemotherapeutic Agents and the Risk of Ischemia and Arterial Thrombosis.Current atherosclerosis reports · 2018Review
- Article
- Ischemic Heart Disease: Special Considerations in Cardio-Oncology.Current treatment options in cardiovascular medicine · 2017Review
- The utility of cardiac stress testing for detection of cardiovascular disease in breast cancer survivors: a systematic review.International journal of women's health · 2015Review
- Intima-media thickness, myocardial perfusion and laboratory risk factors of atherosclerosis in patients with breast cancer treated with anthracycline-based chemotherapy.Medical oncology (Northwood, London, England) · 2011Article
- Review
- Does myocardial perfusion imaging provide incremental prognostic information to left ventricular ejection fraction?Current cardiology reports · 2010Review
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Myocardial perfusion imaging can predict outcomes in cardiac patients. However, limited data exist regarding its prediction of cardiovascular outcomes in cancer patients. We sought to determine whether myocardial perfusion imaging predicts long-term cardiovascular outcomes in cancer patients.We performed a retrospective review of 787 consecutive patients at our institution who underwent myocardial perfusion imaging from January 2001 through March 2003. The Cox proportional hazard model was applied, and total cardiac events, cardiac death, and all-cause death were determined for 3 years. We considered P <0.05 to be statistically significant.Patients with abnormal myocardial perfusion imaging results were more likely to be male and older, with heart disease, more vascular risk factors, and lower left ventricular ejection fraction (0.52 +/- 0.14 vs 0.63 +/- 0.11; P <0.001) than patients with normal myocardial perfusion imaging results. Multivariate predictors of total cardiac events included age (P = 0.023), hyperlipidemia (P = 0.0021), pharmacologic myocardial perfusion imaging (P <0.01), left ventricular ejection fraction (P <0.001), and abnormal myocardial perfusion imaging (P = 0.012). Multivariate predictors of cardiac death included age (P = 0.026) and left ventricular ejection fraction (P = 0.0001). Multivariate predictors of all-cause death were age (P = 0.0001), atrial fibrillation (P = 0.0012), and smoking (P <0.001). Overall survival was improved when patients took aspirin (P = 0.0002) and upon each unit increase in left ventricular ejection fraction (P <0.001).Myocardial perfusion imaging in cancer patients can predict 3-year cardiac outcomes. Increasing age, atrial fibrillation, and smoking were associated with worse outcomes, whereas higher left ventricular ejection fraction and the taking of aspirin were protective.
Indexed as
Identifiers
19568389PMC2696498What OpenQuestion holds
Registered trials
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