Mogollon, Renzo

Introduction: Exercise Stress Echocardiography (ESE) is recommended as a screening tool for the evaluation of Coronary Artery Disease (CAD) in patients with suspected Radiation-Induced Heart Disease (RIHD). Up to now, studies have only evaluated its association with the extent of CAD. Hypothesis Cancer survivors treated with chest Radiotherapy (RT) that undergo an ESE and have a +ESE develop more MACE than those who have -ESE. Methods: A retrospective, descriptive, cohort study was conducted. Patients who had chest RT and underwent ESE with Treadmill Bruce Stress Protocol, from 2000 to 2012, at Mayo Clinic Rochester and Mayo Clinic Health System were included. A univariate analysis was performed to characterize the population. An analysis including Kruskal Wallis and Pearson Chi-Squared tests was completed to identify variables associated with + SE (Table 1). Multivariable Cox Model for MACE was conducted and is shown in Table 2. A time-to-event curve using Kaplan-Meier estimates is shown in Figure 1. Results: We identified 113 patients, with a mean age of 67 years and a median follow-up of 15.1 years. Of those, 99% were female, 98% were breast cancer survivors, 59% had HTN, 14% DM, 11% AFib, 2% COPD, and 12% had a history of MI. All the patients received >3000cGy of Photon RT, and 57% were treated with systemic cancer therapies. A +ESE was seen in 20.3% of the patients with no significant difference in METS achieved compared with patients who had a -ESE. COPD, RT dose, and systemic therapies, specifically doxorubicin, were associated with a +ESE. The cumulative incidence of MACE was higher in the group of +ESE (p=0.029). After adjustment for HTN, DM, smoking history, hyperlipidemia, and prior MI, the HR for MACE associated with a +ESE was 1.97 (1.09-3.59). Conclusion: MACE was more frequent in patients with a +ESE who received chest RT and doxorubicin versus -ESE. These results support the usefulness of ESE in cancer survivors after RT as a cardiovascular screening tool.

Introduction: patients exposed to chest, breast or mediastinal RT, may present with accelerated atherosclerosis and CAD due to diffuse micro and macrovascular fibrosis. However, CAD risk has not been well established in a community-based study. Aims: Describe CAD risk in patients treated with chemotherapy with and without RT and evaluate the cumulative incidence of CAD (coronary revascularization, MI and abnormal stress test and coronary angiogram). Methods: From 1985-2010, we identified 744 patients with a new diagnosis of breast cancer or lymphoma, using the Rochester Epidemiology Project (REP) who received chemotherapy with or without RT. CAD risk was assessed by a proportional hazards model for time to event. RT was treated as a time dependent co-variable, with index date being chemotherapy start date, significance was considered as a p<.05. Characteristics were evaluated by a multivariable Cox model to consider RT and time censoring. Results: 744 patients treated with chemotherapy were identified, of these 488 (65.6%) had breast cancer, 256 (34.4%) lymphoma, and 367 (49%) also received RT. The mean total RT dose was 5.5 ± 1.2 (Gy) for those that had CAD and 5.4 (Gy) ± 1.1 for non-CAD patients, p=0.4. The cumulative incidence of CAD events (accounting for death as a competing risk) at 5 and 10 years of follow-up was 1.9% (CI 1.14-3.2) and 3.06% (CI 2.01-4.7), respectively p<.05 figure1. Baseline differences between those receiving RT or not, were not significant for DM and HTN; however, males and ages 70-79 were less likely to receive RT, table1. In a multivariable model, there was no difference in the CAD outcomes between those with and without RT, HR= 1.21 [0.48-3.06] p=.69, after adjusting for age, gender, DM, and HTN and those <49 y/o had a lower risk of CAD. Table2 Conclusion: In this REP retrospective cohort study, the risk of developing a CAD event was similar between chemotherapy plus RT and chemotherapy only regimens, even after considering gender, age, HTN and DM.

Abstract Background Speckle tracking echocardiography (STE) has shown to be a good tool to foresee early myocardial dysfunction in lymphoma patients who receive anthracycline based chemotherapy. Conventional STE such as global longitudinal strain (GLS) is a good predictor of cardiotoxicity in these patients, however, a more in-depth characterization of conventional and comprehensive STE parameters to predict a hard end-point as chemotherapeutic related heart failure (HF) has not been evaluated. Purpose The aim of this prospective study was to evaluate predictability of cancer therapeutic-related clinical HF by conventional and comprehensive STE. Methods We enrolled 269 Hodgkin & non-Hodgkin lymphoma patients who underwent chemotherapy at Mayo Clinic from 2013 through 2021. All patients had an echocardiogram performed at baseline (T0), during chemotherapy (T1) and after (T2). HF was diagnosed by a cardiologist and defined as the first occurrence after the initiation of chemotherapy. Conventional (GLS) and comprehensive strain analyses that included: global circumferential strain (GCS), global radial strain (GRS), global longitudinal early diastolic strain rate (GLSRe), global longitudinal systolic strain rate (GLSRs), global circumferential early diastolic strain rate (GCSRe), global circumferential systolic strain rate (GCSRs), global radial early diastolic strain rate (GRSRe), and global radial systolic strain rate (GRSRs), were performed offline. Logistic regression analyses were used to evaluate the association of 2D and 3D STE measurements with the development of clinical HF. Results Overall, 215 (79.9%) patients had non-Hodgkin lymphoma while 54 (20.1%) had Hodgkin lymphoma. Mean age was 58.4±16.1 years and 64.7% of the patients were males. The most prevalent comorbidities were hypertension (101/37.5%), dyslipidemia (87/32.3%) and diabetes (28/10.4%). HF occurred in 21 (7.8%) patients, including 9 (3.3%) during chemotherapy and 12 (4.5%) after chemotherapy. The best predictors of HF were: i) GLSRe and GCSRs performed at baseline (T0) to predict HF at T1 with an AUC of 0.85 each and p values of 0.0006 and 0.0005 respectively (Table 1); ii) GCSRs and GCS at baseline (T0) to predict HF at T1 or T2 with AUCs of 0.82 (p, &lt;0.0001) and 0.81 (p, 0.0004), respectively. Basic strain (GLS) was able to predict HF when measured at T0 but not when measured at T1. All the AUCs for GLS were below 0.75 (Figure 1). Conclusions To our knowledge this is the first study to evaluate the use of conventional and comprehensive STE to predict a hard end-point as heart failure in patients with lymphoma who received anthracyclines. Comprehensive STE measurements as GLSRs, GLSRe, GCS, GCSRs and GCSRe are better than GLS to predict HF in patients with lymphoma who received anthracycline based chemotherapy. These findings can be crucial for the management of these patients by guiding when to start cardioprotection and/or avoid interruptions of cancer treatment. Funding Acknowledgement Type of funding sources: Private hospital(s). Main funding source(s): Department of cardiovascular diseases, Mayo Clinic, Rochester, MN

Abstract Background Assessing cardiac performance of patients receiving chemotherapy is a cornerstone for adequate cardiovascular care. Mitral annular plane systolic excursion (MAPSE) has been considered as a surrogate for Ejection Fraction (EF). However, little is known about its role in predicting Cardiotoxicity or Heart Failure in Lymphoma patients, as its relationship with Global Longitudinal Strain (GLS) and EF. Purpose Our aims were: i) to evaluate if MAPSE and GLS can predict the development of CT and/or HF in lymphoma patients treated with anthracyclines and ii) to evaluate its correlation with GLS and EF. Methods For this prospective observational study, 325 Hodgkin (HL) & non-Hodgkin (NHL) lymphoma patients (n=325) treated with anthracyclines were recruited from 2013 to 2021 and followed for 1 year. MAPSE by M-mode and GLS by Speckle-Tracking (ST) were measured at baseline (T0), during treatment (T1), and up to 1 year after chemotherapy completion (T2). CT was defined as a decrease in EF by &gt;10% to a value &lt;50% and HF by a cardiologist as the first occurrence after the initiation of anthracyclines. Logistic regression analyses with Receiving operator characteristics (ROC) and Area under the curve (AUC) were performed. Pearson's correlation coefficient was also calculated. A p-value &lt;0.05 was considered statistically significant. Results Two hundred sixty-four patients (81.2%) had NHL and 61 (18.8%) HL. Of these, fifteen (4.6%) and 21 individuals (6.4%) developed CT at T1 and T2, respectively. Nine subjects (2.8%) developed HF at T1 and 14 (4.3%) at T2. MAPSE at T0 had the highest AUC to predict both HF at T1 (AUC=0.865, cut-off 14.9, sensitivity 100%, specificity 63%, p=0.008) and at T2 (AUC=0.757, cut-off 10.9, sensitivity 67%, specificity 93%, p=0.045). This same variable at T1 predicted HF at T2 with an AUC of 0.752 (cut-off 11.4, sensitivity 67%, specificity 94%, p=0.004). For CT prediction at T2, MAPSE at T1 had an AUC of 0.738 (cut-off 12.5, sensitivity 56%, specificity 85%, p&lt;0.0001). GLS at T0 predicted CT at T1 (AUC=0.657, cut-off −19, sensitivity 67%, specificity 63%, p=0.012) and when obtained at T1, it predicted CT at T2 (AUC=0.776, cut-off −17, sensitivity 74%, specificity 75%, p-value &lt;0.0001) (Table 1). Pearson's correlation between MAPSE and GLS at T0 (coefficient −0.25, p=0.023) at T1 (coefficient −0.38, p&lt;0.0001) at T2 (coefficient −0.037, p&lt;0.0001) and MAPSE with EF at T0 (coefficient 0.33, p=0.0002) at T1 (coefficient 0.28, p&lt;0.0001) and T2 (coefficient 0.29, p&lt;0.001). Conclusions To our best knowledge, this is the first time that MAPSE and GLS were compared to predict CT and HF in lymphoma patients receiving anthracycline-based chemotherapy; we have demonstrated that MAPSE measured at T0 was a very good predictor of HF at T1. Either MAPSE or GLS assessment at T0 and T1 were able to predict CT or HF. Future studies could explore the combination of these two variables to predict either CT or HF. Funding Acknowledgement Type of funding sources: Private hospital(s). Main funding source(s): Department of Cardiovascular Medicine. Mayo Clinic, Rochester-MN

Abstract Background Obesity, defined by the World Health Organization (WHO) as a BMI greater than 30k g/m2, has reached epidemic proportions worldwide, related to approximately 2.8 million deaths/year as of June 2021. WHO sub-classifies obesity based on BMI in Class 1: 30–34.9 kg/m2, Class 2: 35–39.9 kg/m2, and Class 3: ≥40 kg/m2. This state of increased body weight is associated with an increased risk of cardiovascular disease. Cardiac remodeling can be affected by obesity and/or other cardiovascular risk factors (CVRF) as an adaptive physiological response. The remodeling patterns, Normal Geometry (NG), Concentric Remodeling (CR), Concentric Hypertrophy (CH), and Eccentric Hypertrophy, are classified by changes in Relative Wall Thickness (RWT), ≤ or &gt;0.42, and/or Left Ventricular Mass Index (LVMI g/m2), ≤ or &gt;88 for women and ≤ or &gt;102 for men. Left Ventricular Ejection Fraction (LVEF) can remain within normal limits in patients with obesity with multiple CVRF and cardiac remodeling. Left Ventricular Global Longitudinal Strain (LV-GLS) and Right ventricular free wall strain (RV-FWS) can be useful to detect subclinical myocardial dysfunction. The aim of this study was to evaluate if these strain variables are affected in patients with obesity associated to other CVRF in relation to cardiac remodeling type when compared to controls. Methods 2859 patients with BMI ≥30 kg/m2 and 2616 normal-weight controls (BMI between 18.5 and 24.9 kg/m2), with normal and abnormal cardiac geometry, and normal ejection fraction by echocardiography performed between 01/01/2008 and 12/31/2018, were compared. Obesity was classified based on the World Health Organization. CVRF included were Hypertension (HTN), Diabetes Mellitus (DM), Dyslipidemia, history of Vascular Event (myocardial infarction and/or stroke), and Obstructive sleep apnea (OSA). Results BMI, cardiac geometry, CVRF, and the number of comorbidities independently affected GLS and RV-FWS (Figure 1 and Figure 2). LV-GLS and RV-FWS values [mean (SD)] in obesity classes 1, 2, and 3 were −19 (2.9), −18.9 (2.9), −18.7 (2.9) & −24.2 (5.2), −23.8 (6.2), −24.5 (5.9), respectively. In the control group LV-GLS and RV-FWS values [mean (SD)] were −20.1 (3.0) & −27 (5.6), respectively. CH was associated with the greatest decrease in LV-GLS and RV-FWS in males and females, regardless of BMI (Figure 2). LV-GLS values [mean (SD)] associated to CH for obesity class 1, 2, and 3, and controls in females were −18.4 (3.4), −18 (3.1) −17.6 (3.6), and −17.8 (4), respectively, and for obesity class 1, 2, and 3, and controls in males were −16.1 (3.5), 16.5 (3.2), −14.4 (2.7), and −16.6 (4.7), respectively (Figure 1). Conclusion Obesity associated to CVRF and CH have the lowest values of GLS in patients with normal ejection fraction. These values were exceedingly below average compared to other groups. These parameters should be used as reference values for this population. Funding Acknowledgement Type of funding sources: None.

AbstractAimsThe non-invasive calculation of right ventricular (RV) haemodynamics as pulmonary artery (PA) capacitance (PAC) and pulmonary vascular resistance (PVR) have proved to be feasible, easy to perform, and of high prognostic value. We, therefore, evaluated whether baseline PAC and PVR could predict clinical outcomes for patients with acute pulmonary embolism (PE).Methods and resultsWe prospectively followed 373 patients [mean (standard deviation) age, 64.1 (14.9) years; 58.4% were men, and 27.9% had cancer] who had acute PE and transthoracic echocardiography within 1 day of diagnosis from 1 March 2013 through 30 June 2020. Pulmonary artery capacitance was calculated as left ventricular stroke volume/(PA systolic pressure − PA diastolic pressure). Pulmonary vascular resistance was calculated as (tricuspid regurgitant velocity/RV outflow tract velocity time integral) × 10 + 0.16. These two variables were calculated retrospectively from the values obtained with transthoracic echocardiography. Pulmonary artery capacitance was acquired in 99 (27%) patients and PVR in 65 (17%) patients. Univariable and bivariable logistic regression analyses, and receiver operating characteristic curves were used to evaluate the ability of these haemodynamic measurements to predict mortality up to 6 months. After using bivariable models to adjust individually for age, cancer, and pulmonary hypertension. Pulmonary vascular resistance was associated with all-cause mortality at 3 months [area under the curve (AUC) 0.75, 95% confidence interval (CI) 0.61–0.86; P = 0.01], and 6 months (AUC 0.81; 95% CI 0.69–0.91; P≤ 0.03). Pulmonary artery capacitance was associated with all-cause mortality at 30 days (AUC 0.95; 95% CI 0.82–0.99; P &lt; 0.001) and 3 months (AUC 0.84; 95% CI 0.65–0.99; P = 0.003).ConclusionNon-invasive measurement of RV haemodynamics could provide prognostic information of patients with acute PE. Pulmonary artery capacitance and PVR are potentially important predictors of all-cause mortality in these patients and should be explored in future studies.