Risk factor management of atrial fibrillation using mHealth: The Atrial Fibrillation – Helping Address Care with Remote Technology (AF-HEART) Pilot Study

Background

Personalized treatment of atrial fibrillation (AF) risk factors using mHealth and telehealth may improve patient outcomes.

Objective

The purpose of this study was to assess the feasibility of the Atrial Fibrillation Helping Address Care with Remote Technology (AF-HEART) intervention on the following patient outcomes: (1) heart rhythm tracking; (2) weight, alcohol, blood pressure (BP), and sleep apnea reduction; (3) AF symptom reduction; and (4) quality-of-life (QOL) improvement.

Methods

A total of 20 patients with AF undergoing antiarrhythmic therapy, cardioversion, and/or catheter ablation were enrolled and followed for 6 months. The AF-HEART intervention included remote heart rhythm, weight, and BP tracking; televisits with a dietician focusing on AF risk factors; and referrals for sleep apnea and hypertension treatment.

Results

Patients transmitted a median of 181 rhythm recordings during the 6-month follow-up period. Patients lost an average of 3.5 kilograms at 6 months (P = .005). Patients had improved SF-12 scores (P = .01), AFSS score (P = .01), EQ-5D score (P = .006), and AFEQT Global Score (P = .03). There was significant correlation between weight loss and decrease in symptom severity (r = -0.45, P = .05), and between % weight loss and decrease in symptom severity (r = -0.49, P = .03).

Conclusion

This study described the feasibility of the AF-HEART intervention for (1) consistent remote tracking of heart rhythm, weight, and BP; (2) achievement of weight loss; (3) reduction of symptoms; and (4) improvement in QOL. Expansion to a larger randomized study is planned.

Mobile Electrocardiogram Monitoring and Health-Related Quality of Life in Patients With Atrial Fibrillation: Findings From the iPhone Helping Evaluate Atrial Fibrillation Rhythm Through Technology (iHEART) Study

BACKGROUND

Atrial fibrillation (AF) is associated with high recurrence rates and poor health-related quality of life (HRQOL) but few effective interventions to improve HRQOL exist.

OBJECTIVE

The aim of this study was to examine the impact of the "iPhone Helping Evaluate Atrial Fibrillation Rhythm through Technology" (iHEART) intervention on HRQOL in patients with AF.

METHODS

We randomized English- and Spanish-speaking adult patients with AF to receive either the iHEART intervention or usual care for 6 months. The iHEART intervention used smartphone-based electrocardiogram monitoring and motivational text messages. Three instruments were used to measure HRQOL: the Atrial Fibrillation Effect on Quality of Life (AFEQT), the 36-item Short-Form Health survey, and the EuroQol-5D. We used linear mixed models to compare the effect of the iHEART intervention on HRQOL, quality-adjusted life-years, and AF symptom severity.

RESULTS

A total of 238 participants were randomized to the iHEART intervention (n = 115) or usual care (n = 123). Of the participants, 77% were men and 76% were white. More than half (55%) had an AF recurrence. Both arms had improved scores from baseline to follow-up for AFEQT and AF symptom severity scores. The global AFEQT score improved 18.5 and 11.2 points in the intervention and control arms, respectively (P < .05). There were no statistically significant differences in HRQOL, quality-adjusted life-years, or AF symptom severity between groups.

CONCLUSIONS

We found clinically meaningful improvements in AF-specific HRQOL and AF symptom severity for both groups. Additional research with longer follow-up should examine the influence of smartphone-based interventions for AF management on HRQOL and address the unique needs of patients diagnosed with different subtypes of AF.

A Nurse-led Approach to Improving Cardiac Lifestyle Modification in an Atrial Fibrillation Population

Atrial fibrillation (AF) is a major public health problem and the most common cardiac arrhythmia encountered in clinical practice at this time. AF is associated with numerous symptoms such as palpitations, shortness of breath, and fatigue, which can significantly reduce health-related quality of life and result in serious adverse cardiac outcomes. In light of this, the aim of the present pilot study was to test the feasibility of implementing a mobile health (mHealth) lifestyle intervention titled “Atrial Fibrillation and Cardiac Health: Targeting Improving Outcomes via a Nurse-Led Intervention (ACTION),” with the goal of improving cardiac health measures, AF symptom recognition, and self-management. As part of this study, participants self-identified cardiac health goals at enrollment. The nurse used web-based resources from the American Heart Association (Dallas, TX, USA), which included the Life’s Simple 7^® My Life Check^® assessment, to quantify current lifestyle behavior change needs. Furthermore, on the My AFib Experience™ website (American Heart Association, Dallas, TX, USA), the patient used a symptom tracker tool to capture the date, time, frequency, and type of AF symptoms, and these data were subsequently reviewed by the cardiac nurse. Throughout the six-month intervention period, the cardiac nurse used a motivational interviewing approach to support participants’ cardiac health goals. Ultimately, the ACTION intervention was tested in 53 individuals with AF (mean age: 59 ± 11 years; 76% male). Participants were predominantly overweight/obese (79%), had a history of hypertension (62%) or hyperlipidemia (61%), and reported being physically inactive/not preforming any type of regular exercise (52%). The majority (88%) of the participants had one or more Life’s Simple 7^® measures that could be improved. Most of the participants (98%) liked having a dedicated nurse to work with them on a biweekly basis via the mHealth portal. The most commonly self-reported symptoms were palpitations, fatigue/exercise intolerance, and dyspnea. Seventy percent of the participants had an improvement in their weight and blood pressure as documented within the electronic health record as well as a corresponding improvement in their Life’s Simple 7^® score at six months. On average, there was a three-pound (1.36-kg) decrease in weight and a 5-mmHg decrease in systolic blood pressure between baseline and at six months. In conclusion, this pilot work provides initial evidence regarding the feasibility of implementing the ACTION intervention and supports testing the ACTION intervention in a larger cohort of AF patients to inform existing AF guidelines and build an evidence base for reducing AF burden through lifestyle modification.

Precision health: A nursing perspective

Precision health refers to personalized healthcare based on a person’s unique genetic, genomic, or omic composition within the context of lifestyle, social, economic, cultural and environmental influences to help individuals achieve well-being and optimal health. Precision health utilizes big data sets that combine omics (i.e. genomic sequence, protein, metabolite, and microbiome information) with clinical information and health outcomes to optimize disease diagnosis, treatment and prevention specific to each patient. Successful implementation of precision health requires interprofessional collaboration, community outreach efforts, and coordination of care, a mission that nurses are well-positioned to lead. Despite the surge of interest and attention to precision health, most nurses are not well-versed in precision health or its implications for the nursing profession. Based on a critical analysis of literature and expert opinions, this paper provides an overview of precision health and the importance of engaging the nursing profession for its implementation. Other topics reviewed in this paper include big data and omics, information science, integration of family health history in precision health, and nursing omics research in symptom science. The paper concludes with recommendations for nurse leaders in research, education, clinical practice, nursing administration and policy settings for which to develop strategic plans to implement precision health.

Recurrent atrial fibrillation/flutter detection after ablation or cardioversion using the AliveCor KardiaMobile device: iHEART results

OBJECTIVE

This study evaluated the impact of daily ECG (electrocardiogram) self-recordings on time to documented recurrent atrial fibrillation (AF) or atrial flutter (AFL) and time to treatment of recurrent arrhythmia in patients undergoing catheter radiofrequency ablation (RFA) or direct current cardioversion (DCCV) for AF/AFL.

BACKGROUND

AF recurrence rates after RFA and DCCV are 20% to 45% and 60% to 80%, respectively. Randomized trials comparing mobile ECG devices to standard of care have not been performed in an AF/AFL population after treatment.

METHODS

Of 262 patients consented, 238 were randomized to either standard of care (123) or to receive the iHEART intervention (115). Patients in the intervention group were provided with and trained to use an AliveCor KardiaMobile ECG monitor, and were instructed to take and transmit daily ECG recordings. Data were collected from transmitted ECG recordings and patients' electronic health records.

RESULTS

In a multivariate Cox model, the likelihood of recurrence detection was greater in the intervention group (hazard ratio = 1.56, 95% confidence interval [CI]: 1.06-2.30, P = .024). Hazard ratios did not differ significantly for RFA and DCCV procedures. Recurrence during the first month after ablation strongly predicted later recurrence (hazard ratio = 4.53, 95% CI: 2.05-10.00, P = .0006). Time from detection to treatment was shorter for the control group (hazard ratio = 0.33, 95% CI: 0.57-2.92, P < .0001).

CONCLUSIONS

The use of mobile ECG self-recording devices allows for earlier detection of AF/AFL recurrence and may empower patients to engage in shared health decision-making.

The Use of Technology to Support Precision Health in Nursing Science

PURPOSE

This article outlines how current nursing research can utilize technology to advance symptom and self-management science for precision health and provides a roadmap for the development and use of technologies designed for this purpose.

APPROACH

At the 2018 annual conference of the National Institute of Nursing Research (NINR) Research Centers, nursing and interdisciplinary scientists discussed the use of technology to support precision health in nursing research projects and programs of study. Key themes derived from the presentations and discussion were summarized to create a proposed roadmap for advancement of technologies to support health and well-being.

CONCLUSIONS

Technology to support precision health must be centered on the user and designed to be desirable, feasible, and viable. The proposed roadmap is composed of five iterative steps for the development, testing, and implementation of technology-based/enhanced self-management interventions. These steps are (a) contextual inquiry, focused on the relationships among humans, and the tools and equipment used in day-to-day life; (b) value specification, translating end-user values into end-user requirements; (c) design, verifying that the technology/device can be created and developing the prototype(s); (d) operationalization, testing the intervention in a real-world setting; and (e) summative evaluation, collecting and analyzing viability metrics, including process data, to evaluate whether the technology and the intervention have the desired effect.

CLINICAL RELEVANCE

Interventions using technology are increasingly popular in precision health. Use of a standard multistep process for the development and testing of technology is essential.

Informatics and Data Science for the Precision in Symptom Self-Management Center

The goal of the Precision in Symptom Self-Management (PriSSM) Center is to advance the science of symptom self-management for Latinos through a social ecological lens that takes into account variability in individual, interpersonal, organizational, and environmental factors across the life course. Informatics and data science methods are foundational to PriSSM's research activities including its pilot studies and research resources. This work highlights three areas: Latino Data Repository, Information Visualization, and Center Evaluation.

Interdisciplinary Models for Research and Clinical Endeavors in Genomic Medicine: A Scientific Statement From the American Heart Association

The completion of the Human Genome Project has unleashed a wealth of human genomics information, but it remains unclear how best to implement this information for the benefit of patients. The standard approach of biomedical research, with researchers pursuing advances in knowledge in the laboratory and, separately, clinicians translating research findings into the clinic as much as decades later, will need to give way to new interdisciplinary models for research in genomic medicine. These models should include scientists and clinicians actively working as teams to study patients and populations recruited in clinical settings and communities to make genomics discoveries-through the combined efforts of data scientists, clinical researchers, epidemiologists, and basic scientists-and to rapidly apply these discoveries in the clinic for the prediction, prevention, diagnosis, prognosis, and treatment of cardiovascular diseases and stroke. The highly publicized US Precision Medicine Initiative, also known as All of Us, is a large-scale program funded by the US National Institutes of Health that will energize these efforts, but several ongoing studies such as the UK Biobank Initiative; the Million Veteran Program; the Electronic Medical Records and Genomics Network; the Kaiser Permanente Research Program on Genes, Environment and Health; and the DiscovEHR collaboration are already providing exemplary models of this kind of interdisciplinary work. In this statement, we outline the opportunities and challenges in broadly implementing new interdisciplinary models in academic medical centers and community settings and bringing the promise of genomics to fruition.

An intersectional approach to examine sleep duration in sexual minority adults in the United States: findings from the Behavioral Risk Factor Surveillance System

OBJECTIVES

Investigate sexual identity differences in sleep duration and the multiplicative effect of sexual identity and race/ethnicity among US adults.

DESIGN

Cross-sectional.

PARTICIPANTS

The sample consisted of 267,906 participants from the Behavioral Risk Factor Surveillance System.

MEASUREMENTS

Sleep duration was categorized as very short (≤4 hours), short (5-6 hours), adequate (7-8 hours), or long (≥9 hours). Sex-stratified multinomial logistic regressions were used to examine sexual identity differences in sleep duration. We then examined sleep duration by comparing sexual minorities to (1) same-race/-ethnicity heterosexuals and (2) White participants with the same sexual identity.

RESULTS

Sexual minority women had higher odds of very short sleep compared to heterosexual women, regardless of race/ethnicity. Black gay men had higher rates of very short sleep but lower rates of long sleep relative to Black heterosexual men. Latino and Asian/Pacific Islander bisexual men reported higher rates of short sleep than their heterosexual counterparts. Black lesbian and other-race bisexual women were more likely to have very short sleep than their heterosexual peers. Black lesbian women also had higher rates of long sleep. Analyses examining racial/ethnic differences by sexual identity found that Black and Latino gay men reported higher rates of very short sleep compared to White gay men. Black bisexual women had higher rates of short sleep duration than White bisexual women.

CONCLUSIONS

More research is needed to understand how to promote sleep health among sexual minorities, particularly racial/ethnic minorities, and the impact of inadequate sleep duration on health outcomes in this population.

Precision health: Advancing symptom and self-management science

BACKGROUND

Precision health considers individual lifestyle, genetics, behaviors, and environment context and facilitates interventions aimed at helping individuals achieve well-being and optimal health.

PURPOSE

To present the Nursing Science Precision Health (NSPH) Model and describe the integration of precision health concepts within the domains of symptom and self-management science as reflected in the National Institute of Nursing Research P30 Centers of Excellence and P20 Exploratory Centers.

METHODS

Center members developed the NSPH Model and the manuscript based on presentations and discussions at the annual NINR Center Directors Meeting and in follow-up telephone meetings.

DISCUSSION

The NSPH Model comprises four precision components (measurement; characterization of phenotype including lifestyle and environment; characterization of genotype and other biomarkers; and intervention target discovery, design, and delivery) that are underpinned by an information and data science infrastructure.

CONCLUSION

Nurse scientist leadership is necessary to realize the vision of precision health as reflected in the NSPH Model.

Lifetime Trauma and Cardiometabolic Risk in Sexual Minority Women

Background: Sexual minority women (SMW; such as lesbian, bisexual, and mostly lesbian) exhibit excess cardiometabolic risk, yet factors that contribute to cardiometabolic risk in this population are poorly understood. Trauma exposure has been posited as a contributor to cardiometabolic risk in SMW. Materials and Methods: An analysis of data from Wave 3 of the Chicago Health and Life Experiences of Women Study was conducted. Multinomial logistic regression was used to examine correlates of trauma. Next, multiple logistic regression was used to examine the associations of different forms of trauma throughout the life course (childhood, adulthood, and lifetime), with psychosocial and behavioral risk factors and self-reported cardiometabolic risk (obesity, hypertension, and diabetes) in SMW adjusted for relevant covariates. Results: A total of 547 participants were included. Older age was associated with higher rates of childhood and adulthood trauma. SMW of color reported higher rates of childhood trauma than white participants. Higher education was associated with lower rates of adulthood trauma. All forms of trauma were associated with probable diagnosis of post-traumatic stress disorder and lower perceived social support. Adult trauma was associated with anxiety, whereas childhood and lifetime trauma were associated with higher odds of depression. No significant associations between forms of trauma and behavioral risk factors were noted, except that childhood trauma was associated with higher odds of past-3-month overeating. Logistic regression models examining the association of trauma and cardiometabolic risk revealed that childhood trauma was an independent risk factor for diabetes. Adulthood and lifetime trauma were significantly associated with obesity and hypertension. Conclusions: Trauma emerged as an independent risk factor for cardiometabolic risk in SMW. These findings suggest that clinicians should screen for trauma as a cardiovascular risk factor in SMW, with special attention to SMW most at risk.

Device Therapy and Arrhythmia Management in Left Ventricular Assist Device Recipients: A Scientific Statement From the American Heart Association

Left ventricular assist devices (LVADs) are an increasingly used strategy for the management of patients with advanced heart failure with reduced ejection fraction. Although these devices effectively improve survival, atrial and ventricular arrhythmias are common, predispose these patients to additional risk, and complicate patient management. However, there is no consensus on best practices for the medical management of these arrhythmias or on the optimal timing for procedural interventions in patients with refractory arrhythmias. Although the vast majority of these patients have preexisting cardiovascular implantable electronic devices or cardiac resynchronization therapy, given the natural history of heart failure, it is common practice to maintain cardiovascular implantable electronic device detection and therapies after LVAD implantation. Available data, however, are conflicting on the efficacy of and optimal device programming after LVAD implantation. Therefore, the primary objective of this scientific statement is to review the available evidence and to provide guidance on the management of atrial and ventricular arrhythmias in this unique patient population, as well as procedural interventions and cardiovascular implantable electronic device and cardiac resynchronization therapy programming strategies, on the basis of a comprehensive literature review by electrophysiologists, heart failure cardiologists, cardiac surgeons, and cardiovascular nurse specialists with expertise in managing these patients. The structure and design of commercially available LVADs are briefly reviewed, as well as clinical indications for device implantation. The relevant physiological effects of long-term exposure to continuous-flow circulatory support are highlighted, as well as the mechanisms and clinical significance of arrhythmias in the setting of LVAD support.

Examining Sleep Duration and Sleep Health Among Sexual Minority and Heterosexual Adults: Findings From NHANES (2005-2014)

Objectives: This study proposed to examine sexual identity differences in sleep duration and sleep health (use of sleep medications or sedatives, trouble sleeping, and diagnosis of sleeping disorders) among American adults. Methods: Data from the National Health and Nutrition Examination Survey (2005-2014) were used. Sex-stratified multiple logistic regression models were used to compare sleep duration and sleep health between sexual minority (gay/lesbian, bisexual, not-sure) and heterosexual participants, adjusted for predetermined covariates. Heterosexual participants were the reference group. Results: The analytic sample included 16,332 participants. No differences in sleep duration or sleep health were detected when gay and bisexual men were compared to heterosexual men. Not-sure men had significantly higher rates of adequate sleep duration than heterosexual men (aOR 2.35 [1.16-4.79]. Compared to heterosexual women, bisexual women reported higher rates of short sleep duration (aOR 1.29 [95% CI = 1.01-1.65]). Bisexual women were also more likely than heterosexual women to use sleep medication or sedatives (aOR 1.85 [95% CI = 1.19-2.88]), to have ever told a health professional they had trouble sleeping (aOR 1.64 [95% CI = 1.15-2.34), and to have been told by a health professional they had a sleeping disorder (aOR 2.38 [95% CI = 1.50-3.80). Lesbian and not-sure women exhibited no differences in sleep duration or sleep health compared to heterosexual women. Conclusions: Findings suggest there is a need to promote sleep health and further investigate sleeping disorders among bisexual women. Additional research should incorporate objective measures of sleep health and examine whether sleep health is associated with chronic disease in sexual minorities.

Clinical Overview of Obesity and Diabetes Mellitus as Risk Factors for Atrial Fibrillation and Sudden Cardiac Death

The epidemics of obesity and diabetes mellitus are associated with an increased incidence of both atrial fibrillation (AF), the most common sustained arrhythmia in adults, and sudden cardiac death (SCD). Obesity and DM are known to have adverse effects on cardiac structure and function. The pathologic mechanisms are thought to involve cardiac tissue remodeling, metabolic dysregulation, inflammation, and oxidative stress. Clinical data suggest that left atrial size, epicardial fat pad thickness, and other modifiable risk factors such as hypertension, glycemic control, and obstructive sleep apnea may mediate the association with AF. Data from human atrial tissue biopsies demonstrate alterations in atrial lipid content and evidence of mitochondrial dysfunction. With respect to ventricular arrhythmias, abnormalities such as long QT syndrome, frequent premature ventricular contractions, and left ventricular hypertrophy with diastolic dysfunction are commonly observed in obese and diabetic humans. The increased risk of SCD in this population may also be related to excessive cardiac lipid deposition and insulin resistance. While nutritional interventions have had limited success, perhaps due to poor long-term compliance, weight loss and improved cardiorespiratory fitness may reduce the frequency and severity of AF.

Cardiovascular Disease Disparities in Sexual Minority Adults: An Examination of the Behavioral Risk Factor Surveillance System (2014-2016)

PURPOSE

Investigate sexual orientation differences in cardiovascular disease risk and cardiovascular disease.

DESIGN

Cross-sectional.

SETTING

The 2014 to 2016 Behavioral Risk Factor Surveillance System.

PARTICIPANTS

A total of 395 154 participants.

MEASURES

The exposure measure was sexual orientation. Self-report of cardiovascular disease risk factors and cardiovascular disease was assessed.

ANALYSIS

Sex-stratified logistic regression analyses to examine sexual orientation differences in cardiovascular disease risk and cardiovascular disease (heterosexuals = reference group).

RESULTS

Sexual minority men reported higher rates of mental distress (gay adjusted odds ratio [AOR]: 1.59; bisexual AOR: 1.88) and lifetime depression (gay AOR: 2.48; bisexual: AOR 2.67). Gay men reported higher rates of current smoking (AOR: 1.28), but lower rates of obesity (AOR: 0.82) compared to heterosexual men. Sexual minority women reported higher rates of several cardiovascular risk factors including mental distress (lesbian AOR: 1.37; bisexual AOR: 2.33), lifetime depression (lesbian AOR: 1.96; bisexual AOR: 3.26), current smoking (lesbian AOR: 1.65; bisexual AOR: 1.29), heavy drinking (lesbian AOR: 2.01; bisexual AOR: 2.04), and obesity (lesbian AOR: 1.50; bisexual AOR: 1.29), but were more likely to exercise than heterosexual women (lesbian AOR: 1.34; bisexual AOR: 1.24). Lesbian women reported lower rates of heart attack (AOR: 0.62), but bisexual women had higher rates of stroke than heterosexual women (AOR: 1.46).

CONCLUSIONS

Findings can inform the development of prevention efforts to reduce cardiovascular disease risk in sexual minorities.

Cardiac Channelopathies: Recognition, Treatment, Management

The discovery of the human genome has ushered in a new era of molecular testing, advancing our knowledge and ability to identify cardiac channelopathies. Genetic variations can affect the opening and closing of the potassium, sodium, and calcium channels, resulting in arrhythmias and sudden death. Cardiac arrhythmias caused by disorders of ion channels are known as cardiac channelopathies. Nurses are important members of many interdisciplinary teams and must have a general understanding of the pathophysiology of the most commonly encountered cardiac channelopathies, electrocardiogram characteristics, approaches to treatment, and care for patients and their families. This article provides an overview of cardiac channelopathies that nurses might encounter in an array of clinical and research settings, focusing on the clinically relevant features of long QT syndrome, short QT syndrome, Brugada syndrome, catecholaminergic polymorphic ventricular tachycardia, and arrhythmogenic right ventricular dysplasia/cardiomyopathy.

Factors Influencing Sustained Engagement with ECG Self-Monitoring: Perspectives from Patients and Health Care Providers

BACKGROUND

Patient-generated health data (PGHD) collected digitally with mobile health (mHealth) technology has garnered recent excitement for its potential to improve precision management of chronic conditions such as atrial fibrillation (AF), a common cardiac arrhythmia. However, sustained engagement is a major barrier to collection of PGHD. Little is known about barriers to sustained engagement or strategies to intervene upon engagement through application design.

OBJECTIVE

This article investigates individual patient differences in sustained engagement among individuals with a history of AF who are self-monitoring using mHealth technology.

METHODS

This qualitative study involved patients, health care providers, and research coordinators previously involved in a randomized, controlled trial involving electrocardiogram (ECG) self-monitoring of AF. Patients were adults with a history of AF randomized to the intervention arm of this trial who self-monitored using ECG mHealth technology for 6 months. Semistructured interviews and focus groups were conducted separately with health care providers and research coordinators, engaged patients, and unengaged patients. A validated model of sustained engagement, an adapted unified theory of acceptance and use of technology (UTAUT), guided data collection, and analysis through directed content analysis.

RESULTS

We interviewed 13 patients (7 engaged, 6 unengaged), 6 providers, and 2 research coordinators. In addition to finding differences between engaged and unengaged patients within each predictor in the adapted UTAUT model (perceived ease of use, perceived usefulness, facilitating conditions), four additional factors were identified as being related to sustained engagement in this population. These are: (1) internal motivation to manage health, (2) relationship with health care provider, (3) supportive environments, and (4) feedback and guidance.

CONCLUSION

Although it required some modification, the adapted UTAUT model was useful in understanding of the parameters of sustained engagement. The findings of this study provide initial requirement specifications for the design of applications that engage patients in this unique population of adults with AF.

Low health literacy: Implications for managing cardiac patients in practice

There are limited data on racial and ethnic disparities related to quality of life (QoL) and health literacy in adults with multiple cardiac conditions. This article evaluates the relationship between health literacy and QoL among patients with cardiac conditions in a multiethnic community in New York City.

Nursing genetics and genomics: The International Society of Nurses in Genetics (ISONG) survey

BACKGROUND

The International Society of Nursing in Genetics (ISONG) fosters scientific and professional development in the discovery, interpretation, and application of genomic information in nursing research, education, and clinical practice.

OBJECTIVES

Assess genomic-related activities of ISONG members in research, education and practice, and competencies to serve as global leaders in genomics.

DESIGN

Cross-sectional survey (21-items) assessing genomic-related training, knowledge, and practice.

SETTINGS

An email invitation included a link to the anonymous online survey.

PARTICIPANTS

All ISONG members (n = 350 globally) were invited to partake.

METHODS

Descriptive statistics and Wilcoxon Rank Sum Test for between-group comparisons.

RESULTS

Respondents (n = 231, 66%), were mostly Caucasian, female, with a master's degree or higher. Approximately 70% wanted to incorporate genomics in research, teaching, and practice. More than half reported high genomic competency, and over 95% reported that genomics is relevant the next 5 years.

CONCLUSIONS

Findings provide a foundation for developing additional educational programs for an international nursing workforce in genomics.

Biomarkers as Common Data Elements for Symptom and Self-Management Science

PURPOSE

Biomarkers as common data elements (CDEs) are important for the characterization of biobehavioral symptoms given that once a biologic moderator or mediator is identified, biologically based strategies can be investigated for treatment efforts. Just as a symptom inventory reflects a symptom experience, a biomarker is an indicator of the symptom, though not the symptom per se. The purposes of this position paper are to (a) identify a "minimum set" of biomarkers for consideration as CDEs in symptom and self-management science, specifically biochemical biomarkers; (b) evaluate the benefits and limitations of such a limited array of biomarkers with implications for symptom science; (c) propose a strategy for the collection of the endorsed minimum set of biologic samples to be employed as CDEs for symptom science; and (d) conceptualize this minimum set of biomarkers consistent with National Institute of Nursing Research (NINR) symptoms of fatigue, depression, cognition, pain, and sleep disturbance.

DESIGN AND METHODS

From May 2016 through January 2017, a working group consisting of a subset of the Directors of the NINR Centers of Excellence funded by P20 or P30 mechanisms and NINR staff met bimonthly via telephone to develop this position paper suggesting the addition of biomarkers as CDEs. The full group of Directors reviewed drafts, provided critiques and suggestions, recommended the minimum set of biomarkers, and approved the completed document. Best practices for selecting, identifying, and using biological CDEs as well as challenges to the use of biological CDEs for symptom and self-management science are described. Current platforms for sample outcome sharing are presented. Finally, biological CDEs for symptom and self-management science are proposed along with implications for future research and use of CDEs in these areas.

FINDINGS

The recommended minimum set of biomarker CDEs include pro- and anti-inflammatory cytokines, a hypothalamic-pituitary-adrenal axis marker, cortisol, the neuropeptide brain-derived neurotrophic factor, and DNA polymorphisms.

CONCLUSIONS

It is anticipated that this minimum set of biomarker CDEs will be refined as knowledge regarding biologic mechanisms underlying symptom and self-management science further develop. The incorporation of biological CDEs may provide insights into mechanisms of symptoms, effectiveness of proposed interventions, and applicability of chosen theoretical frameworks. Similarly, as for the previously suggested NINR CDEs for behavioral symptoms and self-management of chronic conditions, biological CDEs offer the potential for collaborative efforts that will strengthen symptom and self-management science.

CLINICAL RELEVANCE

The use of biomarker CDEs in biobehavioral symptoms research will facilitate the reproducibility and generalizability of research findings and benefit symptom and self-management science.

Electrocardiographic Correlates of Acute Allograft Rejection Among Heart Transplant Recipients

BACKGROUND

Acute allograft rejection appears to be associated with increases in QT/QTc intervals.

OBJECTIVES

To determine the relationship between acute allograft rejection and electrocardiogram changes in patients undergoing an orthotopic heart transplant.

METHODS

The study population comprised 220 adult patients undergoing heart transplant and enrolled in the NEW HEART study. Electrocardiograms obtained within 72 hours of endomyocardial biopsy were analyzed; electrocardiograms obtained fewer than 10 days after transplant surgery were excluded. Repeated-measures analysis was performed with statistical models including effects for rejection severity (mild and moderate/severe) and time trends independent of rejection status.

RESULTS

The 151 male and 69 female transplant recipients (mean age [SD], 54 [13] years) had 969 biopsy/electrocardiogram pairs: 677 with no rejection, 280 with mild rejection, and 12 with moderate/severe rejection. Moderate to severe organ rejection was associated with significant increases in QRS duration (P < .001), QT (P = .009), QTc (P = .003), and PR interval (P = .03), as well as increased odds of right bundle block branch (P = .002) and fascicular block (P = .009) occurring.

CONCLUSIONS

Moderate to severe acute allograft rejection was associated with electrocardiographic changes after transplant surgery. Studies are needed to assess the value of computerized electrocardiogram measurement algorithms for detecting acute allograft rejection.

Developing and Sustaining a Career as a Transdisciplinary Nurse Scientist

PURPOSE

The purpose of this article is to provide an overview of strategies to build and sustain a career as a nurse scientist. This article examines how to integrate technologies and precision approaches into clinical practice, research, and education of the next generation of nursing scholars.

DESIGN

This article presents information for shaping a sustainable transdisciplinary career. Programs of research that utilize self-management to improve quality of life are discussed throughout the article. The ongoing National Institute of Nursing Research-funded (R01 grant) iPhone Helping Evaluate Atrial Fibrillation Rhythm through Technology (iHEART) study is the first prospective, randomized controlled trial to evaluate whether electrocardiographic monitoring with the AliveCor™ device in the real-world setting will improve the time to detection and treatment of recurrent atrial fibrillation over a 6-month period as compared to usual cardiac care.

METHODS

Opportunities to sustain a career as a nurse scientist and build programs of transdisciplinary research are identified. These opportunities are focused within the area of research and precision medicine.

FINDINGS

Nurse scientists have the potential and ability to shape their careers and become essential members of transdisciplinary partnerships. Exposure to clinical research, expert mentorship, and diverse training opportunities in different areas are essential to ensure that contributions to nursing science are visible through publications and presentations as well as through securing grant funding to develop and maintain programs of research.

CONCLUSIONS

Transcending boundaries and different disciplines, nurses are essential members of many diverse teams.

CLINICAL RELEVANCE

Nurse scientists are strengthening research approaches, clinical care, and communication and improving health outcomes while also building and shaping the next generation of nurse scientists.

Genome Sequencing Technologies and Nursing: What Are the Roles of Nurses and Nurse Scientists?

BACKGROUND

Advances in DNA sequencing technology have resulted in an abundance of personalized data with challenging clinical utility and meaning for clinicians. This wealth of data has potential to dramatically impact the quality of healthcare. Nurses are at the focal point in educating patients regarding relevant healthcare needs; therefore, an understanding of sequencing technology and utilizing these data are critical.

AIM

The objective of this study was to explicate the role of nurses and nurse scientists as integral members of healthcare teams in improving understanding of DNA sequencing data and translational genomics for patients.

APPROACH

A history of the nurse role in newborn screening is used as an exemplar.

DISCUSSION

This study serves as an exemplar on how genome sequencing has been utilized in nursing science and incorporates linkages of other omics approaches used by nurses that are included in this special issue. This special issue showcased nurse scientists conducting multi-omic research from various methods, including targeted candidate genes, pharmacogenomics, proteomics, epigenomics, and the microbiome. From this vantage point, we provide an overview of the roles of nurse scientists in genome sequencing research and provide recommendations for the best utilization of nurses and nurse scientists related to genome sequencing.

Evaluating the Utility of mHealth ECG Heart Monitoring for the Detection and Management of Atrial Fibrillation in Clinical Practice

Background

Little attention has focused on the integration of mobile health (mHealth) technology with self-management approaches to improve the detection and management of atrial fibrillation (AF) in clinical practice.

Objective

The objective of this study was to investigate the differences between mHealth and usual care over a 6-month follow-up period among patients with a known history of atrial fibrillation.

Methods

A pilot cohort from within the larger ongoing randomized trial, iPhone® Helping Evaluate Atrial fibrillation Rhythm through Technology (iHEART), was evaluated to determine differences in detection of AF and atrial flutter (AFL) recurrence rates (following treatment to restore normal rhythm) between patients undergoing daily smartphone ECG monitoring and age and gender matched control patients. SF-36v2^TM QoL assessments were administered at baseline and 6 months to a subset of the patients undergoing daily ECG monitoring. Differences between groups were assessed by t-test, Fisher's exact test, and Cox proportional hazard models.

Results

Among the 23 patients with smartphone ECG monitors (16 males and 7 females, mean age 55 ± 10), 14 (61%) had detection of recurrent AF/AFL versus 30% of controls. During the follow-up period, patients given smartphone ECG monitors were more than twice as likely to have an episode of recurrent AF/AFL detected (hazard ratio: 2.55; 95% CI: 1.06 - 6.11; p = 0.04). Among the 13 patients with baseline and 6 month QoL assessments, significant improvements were observed in the physical functioning (p = 0.009), role physical (p = 0.007), vitality (p = 0.03), and mental health domains (p = 0.02).

Conclusions

Cardiac mHealth self-monitoring is a feasible and effective mechanism for enhancing AF/AFL detection that improves quality of life.

Improving Utilization of the Family History in the Electronic Health Record

PURPOSE

The purpose of this article is to provide an overview of Family History in the Electronic Health Record and to identify opportunities to advance the contributions of nurses in obtaining, updating and assessing family history in order to improve the health of all individuals and populations.

ORGANIZING CONSTRUCT

The article presents an overview of the obstacles to charting Family History within the Electronic Health Record and recommendations for using specific Family History tools and core Family History data sets.

METHODS

Opportunities to advance nursing contributions in obtaining, updating, and assessing family history in order to improve the health of all individuals were identified. These opportunities are focused within the area of promoting the importance of communication within families and between healthcare providers to obtain, document, and update family histories.

FINDINGS

Nurses can increase awareness of existing resources that can guide collection of a comprehensive and accurate family history and facilitate family discussions. In this paper, opportunities to advance nursing contributions in obtaining, updating, and assessing family history in order to improve the health of all individuals were identified.

CONCLUSIONS

Aligned with the clinical preparation of nurses, family health should be used routinely by nurses for risk assessment and to help inform patient and family members on screening, health promotion, and disease prevention. The quality of family health information is critical in order to leverage the use of genomic healthcare information and derive new knowledge about disease biology, treatment efficacy, and drug safety. These actionable steps need to be performed in the context of promoting evidence-based applications of family history that will be essential for implementing personalized genomic healthcare approaches and disease prevention efforts.

CLINICAL RELEVANCE

Family health history is one of the most important tools for identifying the risk of developing rare and chronic conditions, including cardiovascular disease, cancer, and diabetes, and represents an integration of disease risk from genetic, environmental, and behavioral/lifestyle factors. In fact, family history has long been recognized as a strong independent risk factor for disease and is the current best practice used in clinical practice to guide risk assessment.

Effect of Intensive Blood Pressure Lowering on Incident Atrial Fibrillation and P-Wave Indices in the ACCORD Blood Pressure Trial

BACKGROUND

There are no proven strategies to prevent atrial fibrillation (AF) in patients with type 2 diabetes (T2DM). We compared standard blood pressure (BP) lowering vs. intensive BP lowering in reducing incidence of AF or P-wave indices (PWI-ECG markers of left atrial abnormality that are considered intermediate phenotypes of AF) in patients with T2DM.

METHODS

We analyzed data from the ACCORD BP trial-a randomized controlled nonblinded trial (2001-2009) which randomized patients with T2DM and systolic BP (SBP) 130-180mm Hg on ≤3 antihypertensive medications aged 40-79 years with cardiovascular disease (CVD) or aged 55-79 years with subclinical CVD or ≥2 CVD risk factors to standard BP lowering (SBP <140mm Hg) vs. intensive BP lowering (SBP <120mm Hg). The primary outcome was a composite of incident AF and PWI.

RESULTS

Data from 3,087 participants (mean age, 62.2 years; women, 48.2%; non-White, 39.2%) were analyzed. During a mean follow-up of 4.4 years, the primary outcome occurred in 1,063 participants (incidence rate, 84.5 per 1,000 person-years in the standard-therapy group vs. 73.9 per 1,000 person-years in the intensive-therapy group). The adjusted hazard ratios (95% confidence intervals) of intensive-therapy group for the primary outcome and for incident PWI alone were 0.87 (0.77-0.98), P = 0.02 and 0.87 (0.76-0.98), P = 0.02, respectively. The effect of intensive therapy on the incidence of AF alone did not reach statistical significance.

CONCLUSIONS

In patients with T2DM, intensive BP lowering reduces the incidence of the composite outcome of AF and PWI, suggesting a potential benefit from stringent BP control in patients with T2DM. clinical trials registration Trial Number NCT00000620.

Enhancing Literacy in Cardiovascular Genetics: A Scientific Statement From the American Heart Association

Advances in genomics are enhancing our understanding of the genetic basis of cardiovascular diseases, both congenital and acquired, and stroke. These advances include finding genes that cause or increase the risk for childhood and adult-onset diseases, finding genes that influence how patients respond to medications, and the development of genetics-guided therapies for diseases. However, the ability of cardiovascular and stroke clinicians to fully understand and apply this knowledge to the care of their patients has lagged. This statement addresses what the specialist caring for patients with cardiovascular diseases and stroke should know about genetics; how they can gain this knowledge; how they can keep up-to-date with advances in genetics, genomics, and pharmacogenetics; and how they can apply this knowledge to improve the care of patients and families with cardiovascular diseases and stroke.

Gerontechnologies for Older Patients with Heart Failure: What is the Role of Smartphones, Tablets, and Remote Monitoring Devices in Improving Symptom Monitoring and Self-Care Management?

Older adults with heart failure have multiple chronic conditions and a large number and range of symptoms. A fundamental component of heart failure self-care management is regular symptom monitoring. Symptom monitoring can be facilitated by cost-effective, easily accessible technologies that are integrated into patients' lives. Technologies that are tailored to older adults by incorporating gerontological design principles are called gerontechnologies. Gerontechnology is an interdisciplinary academic and professional field that combines gerontology and technology with the goals of improving prevention, care, and enhancing the quality of life for older adults. The purpose of this article is to discuss the role of gerontechnologies, specifically the use of mobile applications available on smartphones and tablets as well as remote monitoring systems, for outpatient disease management among older adults with heart failure. While largely unproven, these rapidly developing technologies have great potential to improve outcomes among older persons.

A single-center randomized, controlled trial investigating the efficacy of a mHealth ECG technology intervention to improve the detection of atrial fibrillation: the iHEART study protocol

Background

Atrial fibrillation is a major public health problem and is the most common cardiac arrhythmia, affecting an estimated 2.7 million Americans. The true prevalence of atrial fibrillation is likely underestimated because episodes are often sporadic; therefore, it is challenging to detect and record an occurrence in a “real world” setting. To date, mobile health tools that promote earlier detection and treatment of atrial fibrillation and improvement in self-management behaviors and knowledge have not been evaluated. This study will be the first to address the epidemic problem of atrial fibrillation with a novel approach utilizing advancements in mobile health electrocardiogram technology to empower patients to actively engage in their healthcare and to evaluate impact on quality of life and quality-adjusted life years. Furthermore, sending a daily electrocardiogram transmission, coupled with receiving educational and motivational text messages aimed at promoting self-management and a healthy lifestyle may improve the management of chronic cardiovascular conditions (e.g., hypertension, diabetes, heart failure, etc.). Therefore, we are currently conducting a randomized controlled trial to assess the efficacy of a mobile health intervention, iPhone® Helping Evaluate Atrial fibrillation Rhythm through Technology (iHEART) versus usual cardiac care.

Methods

The iHEART study is a single center, prospective, randomized controlled trial. A total of 300 participants with a recent history of atrial fibrillation will be enrolled. Participants will be randomized 1:1 to receive the iHEART intervention, receiving an iPhone® equipped with an AliveCor® Mobile ECG and accompanying Kardia application and behavioral altering motivational text messages or usual cardiac care for 6 months.

Discussion

This will be the first study to investigate the utility of a mobile health intervention in a “real world” setting. We will evaluate the ability of the iHEART intervention to improve the detection and treatment of recurrent atrial fibrillation and assess the intervention's impact on improving clinical outcomes, quality of life, quality-adjusted life-years and disease-specific knowledge.

Trial registration

NCT02731326; Verified April 2016

Clinical and gender differences in heart transplant recipients in the NEW HEART study

BACKGROUND

Little attention has focused on gender differences in cardiac comorbidities and outcomes in patients undergoing orthotropic heart transplant.

OBJECTIVE

The objective of this study was to investigate gender differences at baseline and during follow-up among heart transplant patients.

METHODS

An observational cohort within the NEW HEART study was evaluated to determine gender differences in relation to age, coexisting cardiac comorbidities, and outcomes. Differences were assessed by t-test, Fisher's exact test, and logistic regression analysis.

RESULTS

Male transplant recipients ( n = 238) were significantly older than female recipients ( n = 92), with a greater percentage over 60 years of age (45% vs. 24%, p = 0.0006). Males were more likely to have hypertension (63% vs. 49%, p = 0.034), dyslipidemia (62% vs. 45%, p = 0.006), a history of smoking (52% vs. 35%, p = 0.009), and diabetes (42% vs. 21%, p = 0.0002). Analysis of endomyocardial biopsies obtained during the 1-year follow-up period demonstrated that women averaged more episodes of acute rejection than men (3.9 vs. 3.0, p = 0.009). While most episodes of rejection were mild, women were more likely than men to have episodes of moderate or severe rejection (14% vs. 5%, p = 0.012) and to be hospitalized for acute rejection (15% vs. 6%, p = 0.013). There were no significant differences in mortality.

CONCLUSIONS

Men were more likely than women to be older and to have diabetes, dyslipidemia, hypertension, and a history of smoking. Women were more likely to experience moderate or severe allograft rejection and to be hospitalized for acute rejection. Future investigation of the reasons for these gender differences is warranted and may improve clinical care of women undergoing cardiac transplantation.

Review and Analysis of Existing Mobile Phone Apps to Support Heart Failure Symptom Monitoring and Self-Care Management Using the Mobile Application Rating Scale (MARS)

Background

Heart failure is the most common cause of hospital readmissions among Medicare beneficiaries and these hospitalizations are often driven by exacerbations in common heart failure symptoms. Patient collaboration with health care providers and decision making is a core component of increasing symptom monitoring and decreasing hospital use. Mobile phone apps offer a potentially cost-effective solution for symptom monitoring and self-care management at the point of need.

Objective

The purpose of this review of commercially available apps was to identify and assess the functionalities of patient-facing mobile health apps targeted toward supporting heart failure symptom monitoring and self-care management.

Methods

We searched 3 Web-based mobile app stores using multiple terms and combinations (eg, “heart failure,” “cardiology,” “heart failure and self-management”). Apps meeting inclusion criteria were evaluated using the Mobile Application Rating Scale (MARS), IMS Institute for Healthcare Informatics functionality scores, and Heart Failure Society of America (HFSA) guidelines for nonpharmacologic management. Apps were downloaded and assessed independently by 2-4 reviewers, interclass correlations between reviewers were calculated, and consensus was met by discussion.

Results

Of 3636 potentially relevant apps searched, 34 met inclusion criteria. Most apps were excluded because they were unrelated to heart failure, not in English or Spanish, or were games. Interrater reliability between reviewers was high. AskMD app had the highest average MARS total (4.9/5). More than half of the apps (23/34, 68%) had acceptable MARS scores (>3.0). Heart Failure Health Storylines (4.6) and AskMD (4.5) had the highest scores for behavior change. Factoring MARS, functionality, and HFSA guideline scores, the highest performing apps included Heart Failure Health Storylines, Symple, ContinuousCare Health App, WebMD, and AskMD. Peer-reviewed publications were identified for only 3 of the 34 apps.

Conclusions

This review suggests that few apps meet prespecified criteria for quality, content, or functionality, highlighting the need for further refinement and mapping to evidence-based guidelines and room for overall quality improvement in heart failure symptom monitoring and self-care related apps.

A rolling-horizon pharmacokinetic pharmacodynamic model for warfarin inpatients in transient clinical states

Aim: To design a pharmacokinetic pharmacodynamic model to make individualized and adaptive international normalized ratio (INR) predictions for warfarin inpatients in changing clinical status. Methods: We tested a new model on 60 inpatients at Columbia University. The model personalizes four submodels and minimizes the number of parameters to be estimated. Prediction accuracy was assessed by prediction error, absolute prediction error and percentage absolute prediction error. Results: The INRs were accurately predicted 5 days into the future. Median prediction error: 0.01–0.12; median absolute prediction error: 0.17–0.5 and median percentage absolute prediction error: 9.85–26.06%. Conclusion: Patients exhibit interindividual and intertemporal variability. The model captures the variability and provides accurate and personalized INR predictions.

Cardiac genetic testing: a single-center pilot study of a Dominican population

The impact of undergoing genetic testing in a Dominican population is not well understood. The objective of this investigation was to evaluate the psychological well-being and perceived cardiac risk among Dominicans who underwent genetic testing. Participants completed a qualitative interview and the Short Form-36 (SF-36) questionnaire after cardiac genetic testing. There were 31 subjects evaluated (mean age 42 ± 11 years). Participants revealed three common themes: (a) fear of dying prematurely, (b) guilt of possibly passing on a mutation to their children, and (c) fear of having an implantable cardioverter defibrillator (ICD) shock. Physical components of the SF-36 were within normal limits (46.2 ± 6.6) but elevated for mental components (59.9 ± 5.3). The quality of life and specific themes results determined in this investigation warrant further research in the Dominican population.

Time and costs of preparing and submitting an NIH grant application at a school of nursing

BACKGROUND

Schools of nursing spend considerable time and finances pursuing federal research funding, yet the costs of such efforts are unknown.

PURPOSE

The purpose of this study was to determine the time and costs to a school of nursing to prepare a National Institutes of Health grant application.

METHOD

We prospectively recorded time and calculated costs in grant preparation undertaken by principal investigators and research administrators in one school of nursing.

RESULTS

Principal investigators' time ranged from 69.8 to 162.3 hr, research administrators' time ranged from 33.9 to 56.4 hr, and costs ranged from $4,784 to $13,512 per grant. With funding rates of 5% to 15%, costs for one funded R01 would be $72,460 to $270,240.

DISCUSSION

Grant writing activities represent a major time commitment to faculty and staff and costs to the school. To maximize potential for success, schools of nursing must provide costly resources to support its grant writing enterprise.

CONCLUSIONS

Less costly and more efficient models of attaining research funding are needed for the sustainability of the nursing profession.

Establishing a program of global initiatives for nursing education

In the global nursing community, schools of nursing are increasingly developing initiatives and networks across national boundaries. This article describes the process undertaken at a school of nursing to determine its global health priorities and develop a program of global initiatives for nursing education. A series of meetings were held to determine faculty global activities and gauge interest in designing a 5-year strategic plan for the program. A volunteer Strategic Planning Work-group was convened to formalize a mission, vision, and strategic plan for the program, which were presented to, refined by, and vetted by an advisory board and the faculty at large. We recommend this process to schools committed to developing or expanding a program dedicated to global initiatives and a global perspective in educational planning. Involving stakeholders, building on current strengths, and aligning with mission and vision are essential elements for developing a meaningful program of global initiatives for nursing education.

Initial evaluation of the Robert Wood Johnson Foundation Nurse Faculty Scholars program

BACKGROUND

The Robert Wood Johnson Foundation Nurse Faculty Scholars (RWJF NFS) program was developed to enhance the career trajectory of young nursing faculty and to train the next generation of nurse scholars. Although there are publications that describe the RWJF NFS, no evaluative reports have been published. The purpose of this study was to evaluate the first three cohorts (n = 42 scholars) of the RWJF NFS program.

METHODS

A descriptive research design was used. Data were derived from quarterly and annual reports, and a questionnaire (seven open-ended questions) was administered via Survey Monkey Inc. (Palo Alto, CA, USA).

RESULTS

During their tenure, scholars had on average six to seven articles published, were teaching/mentoring at the graduate level (93%), and holding leadership positions at their academic institutions (100%). Eleven scholars (26%) achieved fellowship in the American Academy of Nursing, one of the highest nursing honors. The average ratings on a Likert scale of 1 (not at all supportive) to 10 (extremely supportive) of whether or not RWJF had helped scholars achieve their goals in teaching, service, research, and leadership were 7.7, 8.0, 9.4, and 9.5, respectively. The majority of scholars reported a positive, supportive relationship with their primary nursing and research mentors; although, several scholars noted challenges in connecting for meetings or telephone calls with their national nursing mentors.

CONCLUSIONS

These initial results of the RWJF NFS program highlight the success of the program in meeting its overall goal-preparing the next generation of nursing academic scholars for leadership in the profession.

The effect of cardiac genetic testing on psychological well-being and illness perceptions

OBJECTIVE

To assess the effects of positive cardiac genetic diagnoses, ICD discharges, and arrhythmias on measures of psychological well-being.

METHODS

Fifty-eight adults with prior cardiac genetic testing were enrolled. Patient well-being was determined using the SF-36 (QoL), HADS-A and HADS-D (anxiety/depression), and IPQ-R (patients' perceptions of illness). Patients with positive and negative cardiac genetic test results were compared using non-parametric statistics.

RESULTS

Genetic testing yielded 76% with a positive diagnosis and 29% reported an ICD shock. QoL assessments (n = 33) were within normal ranges (mean of 50) with the exceptions of general health (44.1 ± 12.2, p < 0.01) and bodily pain (55.1 ± 9.1, p < 0.01) domains, but only the bodily pain domain showed differences between those with positive and negative cardiac genetic test results. Subjects with ICD discharges had higher scores than those without shocks in consequential and emotional IPQR subscales as well as greater perceived risks of experiencing a serious cardiac event, developing additional symptoms, or limitations in daily activities.

CONCLUSION

Positive genetic results did not negatively impact patient well-being with the exception of the bodily pain domain of the SF-36.

Detection of Recurrent Atrial Fibrillation Utilizing Novel Technology

The true prevalence of AF is likely underestimated because episodes are often sporadic and challenging to detect in a "real world" setting. This case report will describe a 58-year-old atrial fibrillation patient with multiple cardiac risk factors. After two ablations and one cardioversion, the patient failed to remain in normal sinus rhythm. Shortly after AF returned, the decision was made to perform a second cardioversion. Post-procedure, the patient was given a novel FDA-approved, wireless ECG monitoring device compatible with the iPhone®. This device has the capability of recording and transmitting a single-channel ECG. Within days, the patient began feeling symptomatic again and used his device to transmit an ECG to his healthcare provider. Recurrent AF was detected and the patient was directed to seek further evaluation. The success of this novel device to detect recurrent AF highlights the "real world" applicability of using mHealth technology more readily in patient care.

Hypertrophic cardiomyopathy: a clinical and genetic update

This article presents an overview of hypertrophic cardiomyopathy (HCM) and the associated clinical findings, treatment, and management for nurse practitioners. Topics include an overview of the condition, major and minor criteria for diagnosis, clinical course and pathophysiology, genetic inheritance and testing, and dysrhythmias associated with HCM.

Correlating perceived arrhythmia symptoms and quality of life in an older population with heart failure: a prospective, single centre, urban clinic study

AIMS AND OBJECTIVES

To determine the relationship between quality of life and perceived self-reported symptoms in an older, ambulatory, urban population living with heart failure.

BACKGROUND

While arrhythmias in older individuals with heart failure are well documented, the association between perceived arrhythmia symptoms and quality of life is not well-defined.

DESIGN

Prospective, cross-sectional single-centre study.

METHODS

A single-centre, prospective study was conducted with heart failure patients recruited from an urban outpatient cardiology clinic in the United States. Fifty-seven patients completed a baseline quality of life survey with 42 of these completing the six-month follow-up survey. Quality of life was evaluated with the SF-36v2(™) and frequency of symptoms with the Atrial Fibrillation Severity Scale. Subjects wore an auto triggered cardiac loop monitor (LifeStar AF Express(®) ) for two weeks to document arrhythmias. Data analysis utilised Spearman's rank correlation and logistic regression.

RESULTS

Baseline and six-month quality of life measures did not correlate with recorded arrhythmias. However, perceptions of diminished general health correlated significantly with symptoms of exercise intolerance, lightheadedness/dizziness, palpitations and chest pain/pressure. By multivariable logistic regression, more severe perceived episodes, symptoms of exercise intolerance and lightheadedness/dizziness were independently associated with diminished quality of life.

CONCLUSION

Quality of life was significantly worse in patients with perceptions of severe arrhythmic episodes and in those with symptoms of dizziness and exercise intolerance.

RELEVANCE TO CLINICAL PRACTICE

The findings of this study indicate that symptomatic heart failure patients suffer from poor quality of life and that interventions are needed to improve quality of life and decrease symptom severity. Nurses who care for heart failure patients play an essential role in symptom evaluation and management and could significantly improve overall quality of life in these patients by carefully evaluating symptomatology and testing interventions and educational programmes aimed at improving quality of life.

Cardiovascular genomics

PURPOSE

This article provides an update on cardiovascular genomics using three clinically relevant exemplars, including myocardial infarction (MI) and coronary artery disease (CAD), stroke, and sudden cardiac death (SCD). ORGANIZATIONAL CONSTRUCT: Recent advances in cardiovascular genomic research, testing, and clinical implications are presented.

METHODS

Genomic nurse experts reviewed and summarized recent salient literature to provide updates on three selected cardiovascular genomic conditions.

FINDINGS

Research is ongoing to discover comprehensive genetic markers contributing to many common forms of cardiovascular disease (CVD), including MI and stroke. However, genomic technologies are increasingly being used clinically, particularly in patients with long QT syndrome (LQTS) or hypertrophic cardiomyopathy (HCM) who are at risk for SCD.

CONCLUSIONS

Currently, there are no clinically recommended genetic tests for many common forms of CVD even though direct-to-consumer genetic tests are being marketed to healthcare providers and the general public. On the other hand, genetic testing for patients with certain single gene conditions, including channelopathies (e.g., LQTS) and cardiomyopathies (e.g., HCM), is recommended clinically.

CLINICAL RELEVANCE

Nurses play a pivotal role in cardiogenetics and are actively engaged in direct clinical care of patients and families with a wide variety of heritable conditions. It is important for nurses to understand current development of cardiovascular genomics and be prepared to translate the new genomic knowledge into practice.

Descriptive survey of Summer Genetics Institute nurse graduates in the USA

The purpose of this study was to describe the clinical, research, educational, and professional activities that nurses are engaged in following participation in a 2 month intramural genetics training program. An online survey was administered in 2010 to graduates of the program sponsored by the US National Institute of Nursing Research from 2000 to 2009, in Bethesda, Maryland, USA. The electronic, voluntary survey was sent to 189 graduates via email. The survey included demographic characteristics, educational preparation, professional roles and responsibilities, and attitudes about genetic testing and privacy issues. Of the 95 graduates responding to the survey, 74% had doctorates and 70% were advanced practice nurses. All respondents reported incorporating genetics knowledge into daily clinical, academic, or research practices since completing the program, with 72% reporting being involved in genetically-focused research (52% with research funding), 32% incorporating genetics into patient care, and 79% providing genetics education. Respondents working in a hospital setting or academic institution were more likely to desire additional training in genetics. National Institute of Nursing Research graduates have successfully integrated genomics into a variety of nursing practices.