e12540 Background: Cardiovascular disease is one of the leading causes of deaths in breast cancer patients. Pre-existing cardiac conditions and cardiovascular risks associated with chemotherapy affect the overall mortality of these patients. Cardio protective medications like beta-blocker, ACEIs, ARBs, statin, and potassium-sparing diuretics have shown to increase the survival odds. In our study, we investigated the survival of breast cancer patients who were on cardio protective medications. Methods: Our retrospective cohort study included breast cancer patients from Simmons Cancer Institute, Springfield, Illinois from January 1st, 2014 to December 31st, 2017. The first step comprised of screening patients using ICD code of breast cancer. Next, a retrospective chart review led to selecting eligible patients with biopsy proven breast cancer diagnosis within the aforementioned dates. We excluded patients who were diagnosed outside the give time frame. Data on age, gender, medical comorbidities, medications, and survival status were also collected. Comparisons between categorical variables were compared with the Chi-Squared test. Survival curves were estimated using Kaplan-Meier methodology and analyzed with a log rank test. Predictors of survival are assessed with Cox proportional hazards regression analyses. Results: Screening using ICD codes resulted in 1618 patients. Of those, 478 had biopsy proven diagnosis within the dates mentioned. 301 out of 478 patients were on some kind of cardio protective medication (88 on beta-blockers, 73 on ACEIs, 41 on ARBs, 87 on statins, and 12 on potassium sparing diuretics). We looked into survival analysis in patients on different cardioprotective medications. ARBs and potassium sparing diuretics showed increased likelihood of survival as the hazard ratio (HR) was found to be 0.512 (95% Cl: 0.068-3.832, p-value:0.0919) and HR 0.390 (95% CI: 0.130-1.66, p-value:0.514) respectively. In contrast, other cardio protective medications showed decreased trends for survival. The HR of beta blocker was 1.734 (95% CI: 0.508-5.919, p-value: 0.379) and of ACEIs was 1.350 (95% CI: 0.395-4.613, p-value: 0.632). Similarly, statins had a hazard ratio of 1.534 (95% CI: 0.512- 4.594, p-value:0. 444). Conclusions: We found that the cardio protective medications showed no statistically significant difference in survival in breast cancer patients. Given the smaller sample size and single center study, further multi-center clinical trial is warranted to establish a stronger association.
We report an interesting case of a patient presenting with cardiac arrest secondary to hypoxemia who was found to have bilateral pulmonary nodular opacities and idiopathic CD4 lymphopenia.
e12616 Background: The most common female malignancy diagnosed in the US is breast cancer. Early breast cancer therapy is often treated with radiation therapy; one of the unfortunate side effects of radiotherapy in the past has been cardiotoxicity, especially coronary artery disease. Recent usage of dose reduction techniques have helped reduce these effects. Here, we present our analysis of breast cancer patients that received radiation therapy and the likelihood of cardiotoxicity. Methods: An IRB-approved retrospective study was performed utilizing ICD codes to analyze patients diagnosed with biopsy-confirmed breast cancer between January 1, 2014 and December 31, 2017. 478 of 1618 de-identified patients qualified for this study. Statistical analysis was performed with SAS v9.4. Descriptive statistics were computed for all study variables. Continuous variables were described with measures of central tendency (mean, median) and dispersion (range, standard deviation). Categorical variables were summarized as frequencies and percentages. Comparisons between categorical variables were compared with the Chi-Square test (or Fisher’s Exact) where appropriate. Survival curves were estimated using Kaplan-Meier methodology and analyzed with a log rank test. Predictors of survival were assessed with Cox proportional hazards regression analyses. All significance is assumed at the p < 0.05 level. Results: Of the 478 eligible patients, heart failure (HF), HF hospitalizations, acute coronary syndrome and overall cardiac events were compared among breast cancer patients. Patients who received radiation experienced HF 6.02% compared to 4.61% without radiation (p = 0.574). HF hospitalization was recorded as 2.27% in radiotherapy compared to 1.23% in non-radiotherapy patients (p = 0.686). Patients who radiation experienced ACS 2.27% of the time as compared to 1.21% in patients who were not treated with radiation. Of note, 9.25% receiving radiation experienced cardiac events compared to 4.24% in patients without radiation (p = 0.068). While results were not statistically significant, the trend of elevated cardiac events in breast cancer patients receiving radiation is noteworthy. Conclusions: Per our study, although statistically insignificant, radiation therapy may result in higher incidence of cardiac events in breast cancer patients. Further large-scale, prospective studies should be performed to confirm the aforementioned trends with respect to survival outcomes in urban and rural populations.
e12549 Background: Breast cancer remains the number one threat to women’s health while cardiovascular disease (CVD) continues to be the leading cause of mortality in women worldwide. Adjuvant therapy with endocrine therapies (selective estrogen receptor modulators (SERM), estrogen receptor blockers (ERB), and aromatase inhibitors (AI) although known to reduce the recurrence of breast cancer in hormone receptor positive breast cancer patients, raise a concern for increased risk of cardiovascular disease. Our study aims to examine breast cancer survival outcomes on patients receiving endocrine therapy who have pre-existing CVD including heart failure. Methods: An institutional database of 478 patients with histologically confirmed hormone receptor positive breast cancer diagnosed between 01/01/2014 to 12/31/2017 was reviewed after IRB approval. Preexisting CVD included coronary artery disease (CAD), history of myocardial infarction (MI), and prior diagnosis of heart failure (HF). Patients were divided in groups depending on treatment with endocrine therapy and underlying CVD. Statistical analysis was performed with SAS v9.4. software. Survival curves were estimated using Kaplan-Meier methodology and analyzed with a log rank test. Predictors of survival were assessed with Cox proportional hazards regression analyses. All significance was assumed at the p < 0.05 level. Results: Of 478 patients who met the inclusion criteria, 336 (70%) patients were postmenopausal. Out of those 336 patients, 62.2 % (n = 209) received at least one of the endocrine therapies consisting of AI, SERM or an ERB. Of these patients, 2.9 % (n = 6), 9.6% (n = 20) and 5.7% (n = 12) had a significant medical history of underlying MI, HF and CAD, respectively. Survival analysis was performed on 80% (n = 168) patients of the 209 patients with 2.3% (n = 4), 8.9% (n = 15) and 5.2% (n = 11) with underlying MI, HF and CAD respectively. There was no statistically significant difference in survival in these postmenopausal women who received endocrine therapy despite preexisting cardiovascular disease (HR 3; 95% CI, 0.5-16, p > 0.05). Conclusions: A commonly known toxicity related to the adjuvant therapy including endocrine therapy of breast cancer is cardiac toxicity. Patients with history of CVD might be at the highest risk for such toxicity. Our finding is reassuring that endocrine therapy in patients with preexisting CVD including heart failure did not result in reduced survival for our patient cohort.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.