Cardio-Oncology: Vascular and Metabolic Perspectives: A Scientific Statement From the American Heart Association.

Cardio-oncology has organically developed as a new discipline within cardiovascular medicine as a result of the cardiac and vascular adverse sequelae of the major advances in cancer treatment. Patients with cancer and cancer survivors are at increased risk of vascular disease for a number of reasons. First, many new cancer therapies, including several targeted therapies, are associated with vascular and metabolic complications. Second, cancer itself serves as a risk factor for vascular disease, especially by increasing the risk for thromboembolic events. Finally, recent data suggest that common modifiable and genetic risk factors predispose to both malignancies and cardiovascular disease. Vascular complications in patients with cancer represent a new challenge for the clinician and a new frontier for research and investigation. Indeed, vascular sequelae of novel targeted therapies may provide insights into vascular signaling in humans. Clinically, emerging challenges are best addressed by a multidisciplinary approach in which cardiovascular medicine specialists and vascular biologists work closely with oncologists in the care of patients with cancer and cancer survivors. This novel approach realizes the goal of providing superior care through the creation of cardio-oncology consultative services and the training of a new generation of cardiovascular specialists with a broad understanding of cancer treatments.

Caregiver Strain and Heart Failure Patient Clinical Event Risk: An Extension of Previous Work.

BACKGROUND: In a study of Italian heart failure patient-caregiver dyads, greater caregiver strain significantly predicted lower patient clinical event risk. OBJECTIVE: The purpose of this secondary analysis was to examine this relationship in a sample from the United States. METHODS: Data came from 92 dyads who participated in a self-care intervention. Logistic regression was used to test the relationship between baseline strain (Bakas Caregiving Outcomes Scale, divided into tertiles) and patient likelihood of events (heart failure hospitalization/emergency visit or all-cause mortality) over 8 months. RESULTS: Nearly half of patients (n = 40, 43.5%) had an event. High (vs low) caregiver strain was associated with a 92.7% event-risk reduction, but with substantial variability around the effect (odds ratio, 0.07; 95% confidence interval, 0.01-0.63; P = .02). CONCLUSIONS: Although findings were similar to the Italian study, the high degree of variability and contrasting findings to other studies signal a level of complexity that warrants further investigation.

Relationship of Health Literacy of Heart Failure Patients and Their Family Members on Heart Failure Knowledge and Self-Care.

We explored the relationships among patients' and family members' (FMs) health literacy, heart failure (HF) knowledge, and self-care behaviors using baseline data from HF patients and their FMs ( N = 113 pairs) in a trial of a self-care intervention. Measures included Rapid Estimate of Adult Literacy in Medicine, Atlanta HF Knowledge Test, a heart failure Medication Adherence Scale, and sodium intake (24-hr urine and 3-day food record). Patients with low health literacy (LHL) were more likely to have lower HF knowledge ( p < .001) and trended to poorer medication adherence ( p = .077) and higher sodium intake ( p = .072). When FMs had LHL, FMs were more likely to have lower HF knowledge ( p = .001) and patients trended toward higher sodium intake ( p = .067). When both patients and FMs had LHL, lowest HF knowledge and poorest medication adherence were observed ( p < .027). The health literacy of both patient and FM needs to be considered when designing interventions to foster self-care.

Randomized clinical trial of an integrated self-care intervention for persons with heart failure and diabetes: quality of life and physical functioning outcomes.

OBJECTIVES: Persons with concomitant heart failure (HF) and diabetes mellitus (DM) have complicated, often competing, self-care expectations and treatment regimens that may reduce quality of life (QOL). This randomized controlled trial tested an integrated self-care intervention on outcomes of HF and DM QOL, physical function, and physical activity (PA). METHODS AND RESULTS: Participants with HF and DM (n = 134; mean age 57.4 ± 11 years, 66% men, 69% minority) were randomized to usual care (control) or intervention. The control group received standard HF and DM educational brochures with follow-up telephone contact. The intervention group received education and counseling on combined HF and DM self-care (diet, medications, self-monitoring, symptoms, and PA) with follow-up home visit and telephone counseling. Measures included questionnaires for HF- and DM-specific and overall QOL, PA frequency, and physical function (6-min walk test [6MWT]) and were obtained at baseline and 3 and 6 months. Analysis included mixed models with a priori post hoc tests. Adjusting for age, body mass index, and comorbidity, the intervention group improved in HF total (P = .002) and physical (P < .001) QOL scores at 3 months with retention of improvements at 6 months, improved in emotional QOL scores compared with control at 3 months (P = .04), and improved in health status ratings (P = .04) at 6 months compared with baseline. The intervention group improved in 6MWT distance (924 ft to 952 ft; P = .03) whereas the control group declined (834 ft to 775 ft; F1,63 = 6.86; P = .01). The intervention group increased self-reported PA between baseline and 6 months (P = .01). CONCLUSIONS: An integrated HF and DM self-care intervention improved perceived HF and general QOL but not DM QOL. Improved physical functioning and self-reported PA were also observed with the integrated self-care intervention. Further study of the HF and DM integrated self-care intervention on other outcomes, such as hospitalization and cost, is warranted.

Family context influences psychological outcomes of depressive symptoms and emotional quality of life in patients with heart failure.

BACKGROUND: Although family influences in heart failure (HF) care are considered important, little evidence is available regarding relationships between the family context and specific outcomes for patients with HF. OBJECTIVE: The aim of this study was to examine the relationships of patient perceptions of family functioning, autonomy support, and perceived criticism, as well as their family member's (FM) HF knowledge, with patient outcomes of depressive symptoms and HF quality of life (QOL). METHODS: Participants (n = 117) with HF were enrolled in a family partnership intervention study. Self-report questionnaires measuring the HF patient's perceptions of family context and the FM's knowledge were analyzed relative to the HF patient's outcomes using correlations and sequential multivariate regression analyses. Only preintervention, baseline data are reported here. RESULTS: Age, ethnicity, Charlson comorbidity index, global family functioning, and FM's HF knowledge accounted for 37.8% (P < .001) of the variance in the patient's depressive symptoms. An additional moderating effect of ethnicity on the association between global family functioning and patient's depressive symptoms was significant (change R2 = 0.06, P = .001), resulting in a final model that accounted for 43.3% of depressive symptom variance. Age, ethnicity, global family functioning, and autonomy support accounted for 24.9% (P < .001) of the variance in emotional HF QOL. An additional moderating effect of ethnicity on the association between global family functioning and patient's emotional HF QOL was significant (change R2 = 0.05, P = .009), resulting in a final model that accounted for 28.9% of emotional QOL variance. CONCLUSIONS: This study underscores the importance of the patient's perspective on family functioning and autonomy support, along with FM's HF knowledge, on HF patient outcomes moderated by ethnicity. Future interventions could target the modifiable patient-family context relationships for improving depressive symptoms and QOL in HF patients. These findings point to the need for greater family assessment to identify those at risk for worse outcomes and to guide family focused interventions.

A pilot test of an integrated self-care intervention for persons with heart failure and concomitant diabetes.

Studies show 30% to 47% of people with heart failure (HF) have concomitant diabetes mellitus (DM). Self-care for persons with both of these chronic conditions is conflicting, complex, and often inadequate. This pilot study tested an integrated self-care program for its effects on HF and DM knowledge, self-care efficacy, self-care behaviors, and quality of life (QOL). Hospitalized HF-DM participants (N = 71) were randomized to usual care or intervention using a 1:2 allocation and followed at 30 and 90 days after intervention. Intervention was an integrated education and counseling program focused on HF-DM self-care. Variables included demographic and clinical data, knowledge about HF and DM, HF- and DM-specific self-efficacy, standard HF and DM QOL scales, and HF and DM self-care behaviors. Analysis included descriptive statistics, multilevel longitudinal models for group and time effects, post hoc testing, and effect size calculations. Sidak adjustments were used to control for type 1 error inflation. The integrated HF-DM self-care intervention conferred effects on improved HF knowledge (30 days, p = .05), HF self-care maintenance (30 and 90 days, p < .001), HF self-care management (90 days, p = .05), DM self-efficacy (30 days, p = .03; 90 days, p = .004), general diet (30 days, p = .05), HF physical QOL (p = .04), and emotional QOL scores (p = .05) at 90 days within the intervention group. The participants in the usual care group also reported increased total and physical QOL. Greater percentages of participants in the intervention group improved self reported exercise between 0 and 30 days (p = .005 and moderate effect size ES = .47) and foot care between 0 and 90 days (p = .03, small ES = .36). No group differences or improvements in DM-specific QOL were observed. An integrated HF-DM self-care intervention was effective in improving essential components of self-care and had sustained (90 day) effects on selected self-care behaviors. Future studies testing HF-DM integrated self-care interventions in larger samples with longer follow-up and on other outcomes such as hospitalization and clinical markers are warranted.

A trial of family partnership and education interventions in heart failure.

BACKGROUND: Lowering dietary sodium and adhering to medication regimens are difficult for persons with heart failure (HF). Because these behaviors often occur within the family context, this study evaluated the effects of family education and partnership interventions on dietary sodium (Na) intake and medication adherence (MA). METHODS AND RESULTS: HF patient and family member (FM) dyads (n = 117) were randomized to: usual care (UC), patient-FM education (PFE), or family partnership intervention (FPI). Dietary Na (3-day food record), urinary Na (24-hour urine), and MA (Medication Events Monitoring System) were measured at baseline (BL) before randomization, and at 4 and 8 months. FPI and PFE reduced urinary Na at 4 months, and FPI differed from UC at 8 months (P = .016). Dietary Na decreased from BL to 4 months, with both PFE (P = .04) and FPI (P = .018) lower than UC. The proportion of subjects adherent to Na intake (≤2,500 mg/d) was higher at 8 months in PFE and FPI than in UC (χ(2)(2) = 7.076; P = .029). MA did not differ among groups across time. Both FPI and PFE groups increased HF knowledge immediately after intervention. CONCLUSIONS: Dietary Na intake, but not MA, was improved by PFE and FPI compared with UC. The UC group was less likely to be adherent with dietary Na. Greater efforts to study and incorporate family-focused education and support interventions into HF care are warranted.

Quality and adequacy of dietary intake in a southern urban heart failure population.

BACKGROUND: Few studies have examined the quality and adequacy of dietary intake in patients attempting to limit sodium. OBJECTIVE: The aim of this study was to provide a comprehensive analysis of the dietary intake of persons with heart failure (HF) in the Southern United States who have been advised to limit their sodium intake. METHODS: Three-day food diaries were completed by 114 New York Heart Association class II and III persons with HF enrolled in a family partnership intervention study, which were reviewed by a dietitian and analyzed using validated nutritional software. The Harris-Benedict equation for sedentary adults was used to determine macronutrient intake adequacy. Demographic information and clinical data were obtained through patient report and medical record review. RESULTS: Dietary sodium ingestion ranged from 522 to 9251 mg/d (mean [SD], 2671 [1432] mg/d), with 38 (33.3%) individuals consuming the recommended 2000 mg/d or less in this sample (age, 28-78 years; 64.0% men; 57.0% African American). Mean (SD) caloric intake for the total sample was 1674 (636) kcal/d, with participants eating 99% of the recommended daily allowance (RDA) of protein, 63% of the RDA of carbohydrates, and 89% of the RDA of fat. Participants eating 2000 mg or less of sodium consumed significantly less calories (P < .001), protein (P < .001), carbohydrates (P = .008), and fat (P < .001), but not fiber (P = .103), compared with those consuming more than 2000 mg of sodium after adjusting for body mass index. When analyzed by amount of sodium consumption, persons ingesting 2000 mg or less of sodium per day ate significantly less grains (P = .001) and meat and beans (P = .004) and had less intake of the micronutrients calcium (P < .001), zinc (P = .002), and thiamine (P = .05). CONCLUSION: Only one-third of participants with HF who have been instructed on a low-sodium diet reported consuming the RDA of 2000 mg or less, indicating the need for further dietary instruction with a particular focus on modifying the Southern US diet.

Sleep quality and sleepiness in persons with implantable cardioverter defibrillators: outcome from a clinical randomized longitudinal trial.

BACKGROUND: Patients receiving an implantable cardioverter defibrillator (ICD) report various types and degree of sleep disruptions, but little is known regarding their characteristics, duration, and associated factors. The purposes of this study were: (1) to describe the effect of a psychoeducational intervention on sleep quality and daytime sleepiness, (2) to describe patterns of sleep over time, and (3) to identify predictors of poor sleep in an ICD population. METHODS: A randomized longitudinal intervention trial was designed to test the effects of a psychoeducational intervention, which included a sleep education and counseling session in patients receiving their initial ICD. Patients (n=236; 75% men; mean age 58.4 [±11.2] from the PsychoEducationAl Intervention for ICD PatiEnts (PEACE) trial comprised the study population. Variables related to sleep were measured by the Pittsburgh Sleep Quality Inventory (PSQI) and Epworth Sleepiness Scale (ESS). RESULTS: No psychoeducational intervention effects on sleep outcomes were observed. However, 67.2% of the patients reported poor sleep quality at baseline, and 56.8% had low sleep quality at 6 months based on PSQI scores>5; one-third (32.6%) were excessively sleepy based on ESS scores≥10 at 6 months. Anxiety, depression, physical function, pain intensity, and pain severity were all highly correlated to each other across time. Female gender was a significant covariate for the PSQI. New York Heart Association (NYHA) class was a significant covariate for sleepiness (Epworth). CONCLUSIONS: Low sleep quality and daytime sleepiness are found at time of insertion and over time in patients with ICD. Female gender, higher NYHA class, as well as two latent factors encompassing increased anxiety, depressive symptoms, and decreased physical function and increased pain, were significant predictors of poor sleep quality and sleepiness over time. These data help identify those at higher risk for sleep problems after ICD.

Troponin is unrelated to outcomes in heart failure patients discharged from the emergency department.

Background: Prior data has demonstrated increased mortality in hospitalized patients with acute heart failure (AHF) and troponin elevation. No data has specifically examined the prognostic significance of troponin elevation in patients with AHF discharged after emergency department (ED) management. Objective: Evaluate the relationship between troponin elevation and outcomes in patients with AHF who are treated and released from the ED. Methods: This was a secondary analysis of the Get with the Guidelines to Reduce Disparities in AHF Patients Discharged from the ED (GUIDED-HF) trial, a randomized, controlled trial of ED patients with AHF who were discharged. Patients with elevated conventional troponin not due to acute coronary syndrome (ACS) were included. Our primary outcome was a composite endpoint: time to 30-day cardiovascular death and/or heart failure-related events. Results: Of the 491 subjects included in the GUIDED-HF trial, 418 had troponin measured during the ED evaluation and 66 (16%) had troponin values above the 99th percentile. Median age was 63 years (interquartile range, 54-70), 62% (n = 261) were male, 63% (n = 265) were Black, and 16% (n = 67) experienced our primary outcome. There were no differences in our primary outcome between those with and without troponin elevation (12/66, 18.1% vs 55/352, 15.6%; P = 0.60). This effect was maintained regardless of assignment to usual care or the intervention arm. In multivariable regression analysis, there was no association between our primary outcome and elevated troponin (hazard ratio, 1.00; 95% confidence interval,  0.49-2.01, P = 0.994). Conclusion: If confirmed in a larger cohort, these findings may facilitate safe ED discharge for a group of patients with AHF without ACS when an elevated troponin is the primary reason for admission.

Heart Failure Symptoms Profile Associated With Depressive Symptoms.

Heart failure (HF) symptoms are known to influence depressive symptoms, yet a symptom profile has not been identified. HF symptoms relative to symptom experience (frequency, severity, interference with physical activity and enjoyment of life) associated with depressive symptoms were examined. Data from three HF studies (N = 308) which used the Heart Failure Symptom Survey were included in this cross-sectional secondary analysis. Supervised classification for and identification of symptoms most associated with depressive symptoms were accomplished using random forest algorithms via conditional inference trees. The HF symptom profile associated with depressive symptoms across all four symptom experience domains included fatigue, dizziness, and forgetfulness/difficulty concentrating. Abdominal bloating, worsening cough, and difficulty sleeping were also important, but did not consistently rank in the top 5 for symptom importance relative to all symptom experience domains. Symptom profiling may enhance early identification of patients at risk for depressive symptoms and inform symptom management interventions.

Effect of a psychoeducational intervention on depression, anxiety, and health resource use in implantable cardioverter defibrillator patients.

BACKGROUND: Psychological responses have been reported for some patients after the insertion of an implantable cardioverter defibrillator (ICD). This study tested the effects of a psychoeducational intervention on anxiety, depressive symptoms, functional status, and health resource use during the first year after ICD implantation. METHODS: ICD patients (n = 246) were randomized to usual care (UC), group (GRP), or telephone counseling (TC) intervention that included education, symptom management, and coping skill training. Participants were 58 +/- 11 years, 73% men, and 23% minorities. Anxiety (State-Trait Anxiety Inventory [STAI]), depressive symptoms (Beck Depression Inventory II [BDI-II]), and functional status (Duke Activity Status Inventory [DASI]) were measured at baseline and after 1, 3, 6, and 12 months. Health resource use and disability days were tracked. Analyses were repeated-measures analysis of covariance to assess Group x Time effects,chi(2)for percentage with clinically significant anxiety and depression at each time point, and logistic regression. RESULTS: All groups experienced decreased anxiety and depressive symptoms over the 12 months; GRP intervention had lower STAI (P = 0.03) than UC at 3 months. Logistic regression revealed group differences for predicted probability of having depressive symptoms at 12 months (UC = 0.31, GRP = 0.17, TC = 0.13, P = 0.03). UC had greater calls to providers at 1 and 6 months (P < 0.05) and more sick/disability days at 12 months (P = 0.01) than intervention groups. CONCLUSIONS: A psychoeducational intervention reduced anxiety and depressive symptoms early after ICD implant, lowered probability of depressive symptoms at 1 year, and decreased disability days/calls to providers. These findings support further study and clinical use of both group and telephone interventions to yield better psychological outcomes after ICD implant.

Heart Failure in the Era of Precision Medicine: A Scientific Statement From the American Heart Association.

One of 5 people will develop heart failure over his or her lifetime. Early diagnosis and better understanding of the pathophysiology of this disease are critical to optimal treatment. The "omics"-genomics, pharmacogenomics, epigenomics, proteomics, metabolomics, and microbiomics- of heart failure represent rapidly expanding fields of science that have, to date, not been integrated into a single body of work. The goals of this statement are to provide a comprehensive overview of the current state of these omics as they relate to the development and progression of heart failure and to consider the current and potential future applications of these data for precision medicine with respect to prevention, diagnosis, and therapy.

Convolutional Neural Networks for the Detection of Diseased Hearts Using CT Images and Left Atrium Patches.

Cardiovascular disease is a leading cause of death in the United States. The identification of cardiac diseases on conventional three-dimensional (3D) CT can have many clinical applications. An automated method that can distinguish between healthy and diseased hearts could improve diagnostic speed and accuracy when the only modality available is conventional 3D CT. In this work, we proposed and implemented convolutional neural networks (CNNs) to identify diseased hears on CT images. Six patients with healthy hearts and six with previous cardiovascular disease events received chest CT. After the left atrium for each heart was segmented, 2D and 3D patches were created. A subset of the patches were then used to train separate convolutional neural networks using leave-one-out cross-validation of patient pairs. The results of the two neural networks were compared, with 3D patches producing the higher testing accuracy. The full list of 3D patches from the left atrium was then classified using the optimal 3D CNN model, and the receiver operating curves (ROCs) were produced. The final average area under the curve (AUC) from the ROC curves was 0.840 ± 0.065 and the average accuracy was 78.9% ± 5.9%. This demonstrates that the CNN-based method is capable of distinguishing healthy hearts from those with previous cardiovascular disease.

Heart Chamber Segmentation from CT Using Convolutional Neural Networks.

CT is routinely used for radiotherapy planning with organs and regions of interest being segmented for diagnostic evaluation and parameter optimization. For cardiac segmentation, many methods have been proposed for left ventricular segmentation, but few for simultaneous segmentation of the entire heart. In this work, we present a convolutional neural networks (CNN)-based cardiac chamber segmentation method for 3D CT with 5 classes: left ventricle, right ventricle, left atrium, right atrium, and background. We achieved an overall accuracy of 87.2% ± 3.3% and an overall chamber accuracy of 85.6 ± 6.1%. The deep learning based segmentation method may provide an automatic tool for cardiac segmentation on CT images.

Shared heart failure knowledge and self-care outcomes in patient-caregiver dyads.

BACKGROUND: Patient's knowledge about heart failure (HF) contributes to successful HF self-care, but less is known about shared patient-caregiver knowledge. OBJECTIVES: The purpose of this analysis was to: 1) identify configurations of shared HF knowledge in patient-caregiver dyads; 2) characterize dyads within each configuration by comparing sociodemographic factors, HF characteristics, and psychosocial factors; and 3) quantify the relationship between configurations and patient self-care adherence to managing dietary sodium and HF medications. METHODS: This was a secondary analysis of cross-sectional data (N = 114 dyads, 53% spousal). Patient and caregiver HF knowledge was measured with the Atlanta Heart Failure Knowledge Test. Patient dietary sodium intake was measured by 3-day food record and 24 h urine sodium. Medication adherence was measured by Medication Events Monitoring System caps. Patient HF-related quality of life was measured by the Minnesota Heart Failure Questionnaire; caregiver health-related quality of life was measured by the Short Form-12 Physical Component Summary. Patient and caregiver depression were measured with the Beck Depression Inventory-II. Patient and caregiver perceptions of caregiver-provided autonomy support to succeed in heart failure self-care were measured by the Family Care Climate Questionnaire. Multilevel and latent class modeling were used to identify dyadic knowledge configurations. T-tests and chi-square tests were used to characterize differences in sociodemographic, clinical, and psychosocial characteristics by configuration. Logistic/linear regression were used to quantify relationships between configurations and patient dietary sodium and medication adherence. RESULTS: Two dyadic knowledge configurations were identified: "Knowledgeable Together" (higher dyad knowledge, less incongruence; N = 85, 75%) and "Knowledge Gap" (lower dyad knowledge, greater incongruence; N = 29, 25%). Dyads were more likely to be in the "Knowledgeable Together" group if they were White and more highly educated, if the patient had a higher ejection fraction, fewer depressive symptoms, and better autonomy support, and if the caregiver had better quality of life. In unadjusted comparisons, patients in the "Knowledge Gap" group were less likely to adhere to HF medication and diet. In adjusted models, significance was retained for dietary sodium only. CONCLUSIONS: Dyads with higher shared HF knowledge are likely more successful with select self-care adherence behaviors.