Organellomic gradients in the fourth dimension.

Organelles function as hubs of cellular metabolism and elements of cellular architecture. In addition to 3 spatial dimensions that describe the morphology and localization of each organelle, the time dimension describes complexity of the organelle life cycle, comprising formation, maturation, functioning, decay, and degradation. Thus, structurally identical organelles could be biochemically different. All organelles present in a biological system at a given moment of time constitute the organellome. The homeostasis of the organellome is maintained by complex feedback and feedforward interactions between cellular chemical reactions and by the energy demands. Synchronized changes of organelle structure, activity, and abundance in response to environmental cues generate the fourth dimension of plant polarity. Temporal variability of the organellome highlights the importance of organellomic parameters for understanding plant phenotypic plasticity and environmental resiliency. Organellomics involves experimental approaches for characterizing structural diversity and quantifying the abundance of organelles in individual cells, tissues, or organs. Expanding the arsenal of appropriate organellomics tools and determining parameters of the organellome complexity would complement existing -omics approaches in comprehending the phenomenon of plant polarity. To highlight the importance of the fourth dimension, this review provides examples of organellome plasticity during different developmental or environmental situations.

Exploring Depressive Symptoms and Anxiety Among Patients With Atrial Fibrillation and/or Flutter at the Time of Cardioversion or Ablation.

BACKGROUND: Depression and anxiety in patients with atrial fibrillation (AF) and/or atrial flutter may influence the effectiveness of cardioversion and ablation. There is a lack of knowledge related to depressive symptoms and anxiety at the time of these procedures. OBJECTIVE: We aimed to describe the prevalence and explore potential covariates of depressive symptoms and anxiety in patients with AF at the time of cardioversion or ablation. We further explored the influence of depressive symptoms and anxiety on quality of life at the time of procedure and 6-month AF recurrence. METHODS: Depressive symptoms, anxiety, and quality of life were collected at the time of cardioversion or ablation using the Patient Health Questionnaire-9, State-Trait Anxiety Inventory, and Atrial Fibrillation Effect on Quality of Life questionnaire. Presence of AF recurrence within 6 months post procedure was evaluated. RESULTS: Participants (N = 171) had a mean (SD) age of 61.20 (11.23) years and were primarily male (80.1%) and white, non-Hispanic (81.4%). Moderate to severe depressive symptoms (17.2%) and clinically significant state (30.2%) and trait (23.6%) anxiety were reported. Mood/anxiety disorder diagnosis was associated with all 3 symptoms. Atrial fibrillation symptom severity was associated with both depressive symptoms and trait anxiety. Heart failure diagnosis and digoxin use were also associated with depressive symptoms. Trends toward significance between state and trait anxiety and participant race/ethnicity as well as depressive symptoms and body mass index were observed. Study findings support associations between symptoms and quality of life, but not 6-month AF recurrence. CONCLUSION: Depressive symptoms and anxiety are common in patients with AF. Healthcare providers should monitor patients with AF for depressive symptoms and anxiety at the time of procedures and intervene when indicated. Additional investigations on assessment, prediction, treatment, and outcome of depressive symptoms and anxiety in patients with AF are warranted.

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.

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.

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.

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.

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.

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.

Cardiovascular Nursing Science Priorities: A Statement From the American Heart Association Council on Cardiovascular and Stroke Nursing.

BACKGROUND: The American Heart Association's (AHA) Council on Cardiovascular and Stroke Nursing (CVSN) plays a critical role in advancing the mission of the AHA in the discovery of new scientific knowledge. The aim was to identify priority research topics that would promote and improve cardiovascular (CV) health, provide direction for the education of future nurse scientists, and serve as a resource and catalyst for federal and organizational funding priorities. METHODS: A Qualtrics survey, which included 3 questions about priorities for CVSN nurse researchers, was sent to the CVSN Leadership Committee and all CVSN Fellows of the AHA (n = 208). Responses to the questions were reviewed for word repetitions, patterns, and concepts and were then organized into thematic areas. The thematic areas were reviewed within small groups at the November (2016) in-person CVSN leadership meeting. RESULTS: Seventy-three surveys were completed. Five thematic areas were identified and included (1) developing and testing interventions, (2) assessment and monitoring, (3) precision CV nursing care, (4) translational and implementation science, and (5) big data. Topic areas noted were stroke, research methods, prevention of stroke and CV disease, self-management, and care and health disparities. CONCLUSION: Five thematic areas and 24 topic areas were identified as priorities for CV nursing research. These findings can provide a guide for CV nurse scientists and for federal and foundational funders to use in developing funding initiatives. We believe additional research and discovery in these thematic areas will help reduce the rising global burden of CV disease.

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.

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.

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.

Advanced nursing practice and research contributions to precision medicine.

BACKGROUND: Genomic discoveries in the era of precision medicine hold the promise for tailoring healthcare, symptom management, and research efforts including targeting rare and common diseases through the identification and implementation of genomic-based risk assessment, treatment, and management. However, the translation of these discoveries into tangible benefits for the health of individuals, families, and the public is evolving. PURPOSE: In this article, members of the Genetics Expert Panel identify opportunities for action to increase advanced practice nursing and research contributions toward improving genomic health for all individuals and populations. DISCUSSION: Identified opportunities are within the areas of: bolstering genomic focused advanced practice registered nurse practice, research and education efforts; deriving new knowledge about disease biology, risk assessment, treatment efficacy, drug safety and self-management; improving resources and systems that combine genomic information with other healthcare data; and advocating for patient and family benefits and equitable access to genomic healthcare resources.

Atrial Tachycardias After Atrial Fibrillation Ablation Manifest Different Waveform Characteristics: Implications for Characterizing Tachycardias.

INTRODUCTION: Atrial fibrillation (AF) ablation patients often manifest atrial tachycardias (AT) with atypical ECG morphologies that preclude accurate localization and mechanism. Diagnostic maneuvers used to define ATs during electrophysiology studies can be limited by tachycardia termination or transformation. Additional methods of characterizing post-AF ablation ATs are required. METHODS AND RESULTS: We evaluated the utility of noninvasive ECG signal analytics in postablation AF patients for the following features: (1) Localization of ATs (i.e., right vs. left atrium), and (2) Identification of common left AT mechanisms (i.e., focal vs. macroreentrant). Atrial waveforms from the surface ECG were used to analyze (1) spectral organization, including dominant amplitude (DA) and mean spectral profile (MP), and (2) temporospatial variability, using temporospatial correlation coefficients. We studied 94 ATs in 71 patients who had undergone prior pulmonary vein isolation for AF and returned for a second ablation: (1) right atrial cavotricuspid-isthmus dependent (CTI) ATs (n = 21); (2) left atrial macroreentrant ATs (n = 41) and focal ATs (n = 32). Right CTI ATs manifested higher DAs and lower MPs than left ATs, indicative of greater stability and less complexity in the frequency spectrum. Left macroreentrant ATs possessed higher temporospatial organization than left focal ATs. CONCLUSIONS: Noninvasively recorded atrial waveform signal analyses show that right ATs possess more stable activation properties than left ATs, and left macroreentrant ATs manifest higher temporospatial organization than left focal ATs. Further prospective analyses evaluating the role these novel ECG-derived tools can play to help localize and identify mechanisms of common ATs in AF ablation patients are warranted.

Assessing Health Literacy in Urban Patients With Implantable Cardioverter Defibrillators and Pacemakers.

Functional health literacy (FHL) has become an increasingly prevalent topic of discussion in patient health and well-being. Although FHL has been studied in a variety of populations, it has not been investigated in patients with pacemakers and implantable cardioverter defibrillators (ICDs).The purpose of this study was to evaluate FHL in a primarily older, urban-dwelling ICD/pacemaker population. A secondary objective was to compare 2 commonly used instruments for assessing FHL.A convenience sample of 116 patients was recruited from an urban ICD/pacemaker clinic. Participants were asked to complete the Short Test of Functional Health Literacy in Adults (STOFHLA) followed by the Test of Functional Health Literacy in Adults to assess reading comprehension and numeracy. Logistic regression was used to assess the association between FHL and patient descriptors.The population was 68 ± 13 years of age, and 62.7% were men. The sample was ethnically diverse: 37.1% white, 39.7% Hispanic, and 22.4% African American; 77.4% of the population reported finishing high school. Of the 109 completing the Test of Functional Health Literacy in Adults, 60.6% had adequate FHL, 10.1% had marginal FHL, and 29.4% had inadequate FHL. The presence of coexisting chronic conditions such as diabetes mellitus, hyperlipidemia, and hypertension was associated with inadequate/marginal FHL (P = .007, P = .004, and P = .02, respectively). Of the 113 completing STOFHLA, 67.3% had adequate FHL, 7.1% had marginal FHL, and 25.7% had inadequate FHL. The presence of diabetes mellitus, hyperlipidemia, and hypertension was also associated with inadequate/marginal FHL as assessed by STOFHLA (P = .009, P = .02, and P = .004, respectively).In this older, urban, ICD/pacemaker population, approximately 40% had inadequate/marginal FHL. These results warrant further investigation of FHL in other cardiovascular populations.

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.

Electrocardiographic abnormalities in the first year after heart transplantation.

STUDY AIM: Describe ECG abnormalities in the first year following transplant surgery. METHODS: Analysis of 12-lead ECGs from heart transplant subjects enrolled in an ongoing multicenter clinical trial. RESULTS: 585 ECGs from 98 subjects showed few with abnormal cardiac rhythm (99% of ECGs were sinus rhythm/tachycardia). A majority of subjects (69%) had either right intraventricular conduction delay (56%) or right bundle branch block (13%). A second prevalent ECG abnormality was atrial enlargement (64% of subjects) that was more commonly left atrial (55%) than right (30%). CONCLUSIONS: Right intraventricular conduction delay or right bundle branch block is prevalent in heart transplant recipients in the first year following transplant surgery. Whether this abnormality is related to acute allograph rejection or endomyocardial biopsy procedures is the subject of the ongoing clinical trial. Atrial enlargement ECG criteria (especially, left atrial) are also common and are likely due to transplant surgery with subsequent atrial remodeling.