The Tricuspid Valve: A Review of Pathology, Imaging, and Current Treatment Options: A Scientific Statement From the American Heart Association.

Tricuspid valve disease is an often underrecognized clinical problem that is associated with significant morbidity and mortality. Unfortunately, patients will often present late in their disease course with severe right-sided heart failure, pulmonary hypertension, and life-limiting symptoms that have few durable treatment options. Traditionally, the only treatment for tricuspid valve disease has been medical therapy or surgery; however, there have been increasing interest and success with the use of transcatheter tricuspid valve therapies over the past several years to treat patients with previously limited therapeutic options. The tricuspid valve is complex anatomically, lying adjacent to important anatomic structures such as the right coronary artery and the atrioventricular node, and is the passageway for permanent pacemaker leads into the right ventricle. In addition, the mechanism of tricuspid pathology varies widely between patients, which can be due to primary, secondary, or a combination of causes, meaning that it is not possible for 1 type of device to be suitable for treatment of all cases of tricuspid valve disease. To best visualize the pathology, several modalities of advanced cardiac imaging are often required, including transthoracic echocardiography, transesophageal echocardiography, cardiac computed tomography, and cardiac magnetic resonance imaging, to best visualize the pathology. This detailed imaging provides important information for choosing the ideal transcatheter treatment options for patients with tricuspid valve disease, taking into account the need for the lifetime management of the patient. This review highlights the important background, anatomic considerations, therapeutic options, and future directions with regard to treatment of tricuspid valve disease.

Heart Failure: Priorities for Transition to Home.

Nurses play a key role in promoting successful transitions of patients with heart failure (HF) from the hospital to the ambulatory setting. Engaging patients and caregivers in discharge teaching early in the hospitalization can enhance their understanding of HF as a clinical syndrome and identify precipitants of decompensation. Effective transitional care interventions for patient with HF include a phone call within 48 to 72 hours and a follow-up appointment within 7 days. Early symptom identification and treatment are key aspects of HF care to improve quality of life and minimize risk of hospitalization.

Early Intervention for Steal Syndrome in Patients on Hemodialysis.

Dialysis access-associated steal syndrome (DASS) is a serious, challenging complication related to diminished arterial blood flow to the hand. Patients may not be routinely assessed for this diagnosis, resulting in a delayed presentation with severe hand pain, nerve damage, and tissue loss. This pilot project examined the feasibility of implementing an assessment tool to routinely screen patients for steal syndrome. The tool was used for all patients in three participating dialysis centers. Positive patients had a streamlined referral to vascular surgery for assessment and possible treatment. This pilot project demonstrates that education and subsequent routine screening for DASS within the dialysis facility is feasible, and can be incorporated into the workflow for both the dialysis facility and the servicing vascular surgery office. Early recognition of DASS will prevent severe injuries and tissue loss.

Embracing Disruption: Measuring Effectiveness of Virtual Simulations in Advanced Practice Nurse Curriculum.

Changes in academia have occurred quickly in response to the COVID-19 pandemic. In-person simulation-based education has been adapted into a virtual format to meet course learning objectives. The methods and procedures leveraged to onboard faculty, staff, and graduate nurse practitioner students to virtual simulation-based education while ensuring simulation best practice standards and obtaining evaluation data using the Simulation Effectiveness Tool-Modified (SET-M) tool are described in this article.

Cardiovascular Disease and HIV: Pathophysiology, Treatment Considerations, and Nursing Implications.

HIV infection has progressed from an acute, terminal disease to a chronic illness with cardiovascular disease as the leading cause of death among persons living with HIV. As persons living with HIV infection continue to become older, traditional risk factors for atherosclerosis compounded by the pathophysiological effects of HIV infection and antiretroviral therapy markedly increase the risk for cardiovascular disease. Further, persons living with HIV are also at high risk for cardiomyopathy. Critical care nurses must recognize the risk factors for cardiovascular disease and the pathophysiology and complex treatment options in order to manage care of these patients and facilitate multidisciplinary collaboration. Two case studies are used to highlight the treatment options and nursing considerations associated with cardiovascular disease among persons living with HIV.

Implementing Electronic Tablet-Based Education of Acute Care Patients.

Poor education-related discharge preparedness for patients with heart failure is believed to be a major cause of avoidable rehospitalizations. Technology-based applications offer innovative educational approaches that may improve educational readiness for patients in both inpatient and outpatient settings; however, a number of challenges exist when implementing electronic devices in the clinical setting. Implementation challenges include processes for "on-boarding" staff, mediating risks of cross-contamination with patients' device use, and selling the value to staff and health system leaders to secure the investment in software, hardware, and system support infrastructure. Strategies to address these challenges are poorly described in the literature. The purpose of this article is to present a staff development program designed to overcome challenges in implementing an electronic, tablet-based education program for patients with heart failure.

Improving Congestive Heart Failure Care with a Clinical Decision Unit.

Evidence supporting the development of Clinical Decision Units (CDUs) to impact congestive heart failure readmission rates comes from several categories of the literature. In this study, a pre-post design with comparison group was used to evaluate the impact of the CDU. Early changes in clinical and financial outcome indicators are encouraging. Nurse leaders seek ways to improve clinical outcomes while managing the current financially challenging environment. Implementation of a CDU provides many opportunities for nurse leaders to positively impact clinical care and financial performance within their institutions.

Tools for Economic Analysis of Patient Management Interventions in Heart Failure Cost-Effectiveness Model: A Web-based program designed to evaluate the cost-effectiveness of disease management programs in heart failure.

BACKGROUND: Heart failure disease management programs can influence medical resource use and quality-adjusted survival. Because projecting long-term costs and survival is challenging, a consistent and valid approach to extrapolating short-term outcomes would be valuable. METHODS: We developed the Tools for Economic Analysis of Patient Management Interventions in Heart Failure Cost-Effectiveness Model, a Web-based simulation tool designed to integrate data on demographic, clinical, and laboratory characteristics; use of evidence-based medications; and costs to generate predicted outcomes. Survival projections are based on a modified Seattle Heart Failure Model. Projections of resource use and quality of life are modeled using relationships with time-varying Seattle Heart Failure Model scores. The model can be used to evaluate parallel-group and single-cohort study designs and hypothetical programs. Simulations consist of 10,000 pairs of virtual cohorts used to generate estimates of resource use, costs, survival, and incremental cost-effectiveness ratios from user inputs. RESULTS: The model demonstrated acceptable internal and external validity in replicating resource use, costs, and survival estimates from 3 clinical trials. Simulations to evaluate the cost-effectiveness of heart failure disease management programs across 3 scenarios demonstrate how the model can be used to design a program in which short-term improvements in functioning and use of evidence-based treatments are sufficient to demonstrate good long-term value to the health care system. CONCLUSION: The Tools for Economic Analysis of Patient Management Interventions in Heart Failure Cost-Effectiveness Model provides researchers and providers with a tool for conducting long-term cost-effectiveness analyses of disease management programs in heart failure.

Cardiovascular Health Among an Underserved Population: Clinical Implications.

Despite general efforts to reduce risk factors in cardiovascular disease in the United States over the previous decade, disparities in cardiovascular care remain more prevalent in the underserved population. Recent focus has shifted from treatment of disease to promotion of health. The impact goals for 2020 are improvement in 7 health metrics (smoking status, body mass index, physical activity, healthy dietary score, total cholesterol, blood pressure, and fasting plasma glucose) of cardiovascular health and reduction of cardiovascular disease and stroke by 20%. Identification of those at high risk for poor cardiovascular health in adulthood should begin during early adolescence.

Results of the Chronic Heart Failure Intervention to Improve MEdication Adherence study: A randomized intervention in high-risk patients.

BACKGROUND: Poor adherence to evidence-based medications in heart failure (HF) is a major cause of avoidable hospitalizations, disability, and death. To test the feasibility of improving medication adherence, we performed a randomized proof-of-concept study of a self-management intervention in high-risk patients with HF. METHODS: Patients with HF who screened positively for poor adherence (<6 Morisky Medication Adherence Scale 8-item) were randomized to either the intervention or attention control group. In the intervention group (n = 44), a nurse conducted self-management training before discharge that focused on identification of medication goals, facilitation of medication-symptom associations, and use of a symptom response plan. The attention control group (n = 42) received usual care; both groups received follow-up calls at 1 week. However, the content of follow-up calls for the attention control group was unrelated to HF medications or symptoms. General linear mixed models were used to evaluate the magnitude of change in adherence and symptom-related events at 3-, 6-, and 12-month follow-up clinic visits. Efficacy was measured as improved medication adherence using nurse-assessed pill counts at each time point. RESULTS: Pooled over all time points, patients in the intervention group were more likely to be adherent to medications compared with patients in the attention control group (odds ratio 3.92, t = 3.51, P = .0007). CONCLUSIONS: A nurse-delivered, self-care intervention improved medication adherence in patients with advanced HF. Further work is needed to examine whether this intervention can be sustained to improve clinical outcomes.

Introduction of the Tools for Economic Analysis of Patient Management Interventions in Heart Failure Costing Tool: a user-friendly spreadsheet program to estimate costs of providing patient-centered interventions.

BACKGROUND: Patient-centered health care interventions, such as heart failure disease management programs, are under increasing pressure to demonstrate good value. Variability in costing methods and assumptions in economic evaluations of such interventions limit the comparability of cost estimates across studies. Valid cost estimation is critical to conducting economic evaluations and for program budgeting and reimbursement negotiations. METHODS AND RESULTS: Using sound economic principles, we developed the Tools for Economic Analysis of Patient Management Interventions in Heart Failure (TEAM-HF) Costing Tool, a spreadsheet program that can be used by researchers and health care managers to systematically generate cost estimates for economic evaluations and to inform budgetary decisions. The tool guides users on data collection and cost assignment for associated personnel, facilities, equipment, supplies, patient incentives, miscellaneous items, and start-up activities. The tool generates estimates of total program costs, cost per patient, and cost per week and presents results using both standardized and customized unit costs for side-by-side comparisons. Results from pilot testing indicated that the tool was well-formatted, easy to use, and followed a logical order. Cost estimates of a 12-week exercise training program in patients with heart failure were generated with the costing tool and were found to be consistent with estimates published in a recent study. CONCLUSIONS: The TEAM-HF Costing Tool could prove to be a valuable resource for researchers and health care managers to generate comprehensive cost estimates of patient-centered interventions in heart failure or other conditions for conducting high-quality economic evaluations and making well-informed health care management decisions.

Is shock a key element in the pathology of sudden infant death syndrome (SIDS)?

In developed countries, sudden infant death syndrome (SIDS) is the most common cause of death for infants between 1 month and 1 year of age. The etiology of SIDS is likely to be multifactorial, and current paradigms often describe three overlapping elements of risk. Those elements are a critical developmental period, a vulnerable infant, and one or more exogenous stressors. In the triple-risk model, SIDS infants are described as having an underlying vulnerability in cardiorespiratory control in the central nervous system during a critical period when autonomic control is developing. This vulnerability might affect the response to exogenous stressors, including prone sleeping position, hypoxia, and increased carbon dioxide. In the common bacterial hypothesis and fatal triangle, the focus is on the stressors. In the first, a combination of common respiratory infections can cause SIDS in an infant during a developmentally vulnerable period. This theory also includes 3 factors of vulnerability: a genetic predisposition, a vulnerable developmental age, and infectious stressors. In the fatal triangle theory, infection, inflammation, and genetics each play a role in triggering a SIDS fatality. From our work in an animal model, we have found that rat pups die from a combination of infectious insults during a critical time of development. This is exacerbated by perinatal nicotine exposure, a condition shown to alter the autonomic response in exposed offspring. We are proposing that shock and cardiovascular collapse is a key element that links these theories.

Discordance between patient-predicted and model-predicted life expectancy among ambulatory patients with heart failure.

CONTEXT: Patients with chronic heart failure have impaired long-term survival, but their own expectations regarding prognosis have not been well studied. OBJECTIVES: To quantify expectations for survival in patients with heart failure, to compare patient expectations to model predictions, and to identify factors associated with discrepancies between patient-predicted and model-predicted prognosis. DESIGN, SETTING, AND PARTICIPANTS: Prospective face-to-face survey of patients from the single-center Duke Heart Failure Disease Management Program between July and December 2004, with follow-up through February 2008. Patient-predicted life expectancy was obtained using a visual analog scale. Model-predicted life expectancy was calculated using the Seattle Heart Failure Model. Actuarial-predicted life expectancy, based on age and sex alone, was calculated using life tables. Observed survival was determined from review of medical records and search of the Social Security Death Index. MAIN OUTCOME MEASURE: Life expectancy ratio (LER), defined as the ratio of patient-predicted to model-predicted life expectancy. RESULTS: The cohort consisted of 122 patients (mean age, 62 years; 47% African American, 42% New York Heart Association [NYHA] class III or IV). On average, patients overestimated their life expectancy relative to model-predicted life expectancy (median patient-predicted life expectancy, 13.0 years; model-predicted expectancy, 10.0 years). Median LER was 1.4 (interquartile range, 0.8-2.5). Younger age, increased NYHA class, lower ejection fraction, and less depression were the most significant predictors of higher LER. During a median follow-up of 3.1 years, 29% of the original cohort died. There was no association between higher LER and improved survival (adjusted hazard ratio for overestimated compared with concordant LER, 1.05; 95% confidence interval, 0.46-2.42). CONCLUSIONS: Ambulatory patients with heart failure tended to substantially overestimate their life expectancy compared with model-based predictions for survival. Because differences in perceived survival could affect decision making regarding advanced therapies and end-of-life planning, the causes of these discordant predictions warrant further study.

Delivering heart failure disease management in 3 tertiary care centers: key clinical components and venues of care.

BACKGROUND: Little data exist to assist to help those organizing and managing heart failure (HF) disease management (DM) programs. We aimed to describe the intensity of outpatient HF care (clinic visits and telephone calls) and medical and nonpharmacological interventions in the outpatient setting. METHODS: This was a prospective substudy of 130 patients enrolled in STARBRITE in HFDM programs at 3 centers. Follow-up occurred 10, 30, 60, 90, and 120 days after discharge. The number of clinic visits and calls made by HF cardiologists, nurse practitioners, and nurses were prospectively tracked. The results were reported as medians and interquartile ranges. RESULTS: There were a total of 581 calls with 4 (2, 6) per patient and 467 clinic visits with 3 (2, 5) per patient. Time spent per patient was 8.9 (6, 10.6) minutes per call and 23.8 (20, 28.3) minutes per clinic visit. Nurses and nurse practitioners spent 113 hours delivering care on the phone, and physicians and nurse practitioners spent 187.6 hours in clinic. Issues addressed during calls included HF education (341 times [52.6%]) and fluid overload (87 times [41.8%]). Medical interventions included adjustments to loop diuretics (calls 101 times, clinic 156 times); beta-blockers (calls 18 times, clinic 126 times); vasodilators (calls 8 times, clinic 55 times). CONCLUSIONS: More than a third of clinician time was spent on calls, during which >50% of patient contacts and HF education and >39% of diuretic adjustments occurred. Administrators and public and private insurers need to recognize the amount of medical care delivered over the telephone and should consider reimbursement for these activities.