Nursing science at Mayo Clinic: An alternative model to traditional hospital-based nurse scientist positions.

The role of the Nurse Scientist in clinical settings represents a relatively new career path that has garnered attention in recent literature. Although there is considerable variability in how this role is operationalized across institutions, Mayo Clinic stands out as one of the few health systems in the United States employing nurse scientists who are fully and exclusively engaged in their own programs of research. Given the need for practical information to guide development and implementation of a research-focused nurse scientist role, the purpose of this paper is to describe the infrastructure and resources supporting Mayo Clinic nurse scientists, share role expectations and metrics for success, discuss both the facilitators of success and ongoing challenges, and compare our current practices to those found in the literature.

Daytime symptom trajectories among adults with stable heart failure and insomnia: evidence from a randomised controlled trial of cognitive behavioural therapy for insomnia.

People with heart failure (HF) experience a high symptom burden and prevalent insomnia. However, little is known about daytime symptom trajectories after cognitive behavioural therapy for insomnia (CBT-I). In this study we describe: (1) daytime symptom trajectories among adults with insomnia and stable HF over 1 year, (2) how symptom trajectories differ between CBT-I versus HF self-management interventions, and (3) associations between demographic, clinical, and sleep characteristics, perceived stress, health-related quality of life (HRQoL), functional performance and daytime symptoms trajectories. We retrospectively analysed data from a randomised controlled trial of CBT-I versus HF self-management (NCT0266038). We measured sleep, perceived stress, HRQoL, and functional performance at baseline and symptoms at baseline, 3, 6, and 12 months. We conducted group-based trajectory modelling, analysis of variance, chi-square, and proportional odds models. Among 175 participants (mean [standard deviation] age 63.0 [12.9] years, 57.1% male, 76% White), we found four daytime symptom trajectories: (A) low improving symptoms (38.3%); (B) low psychological symptoms and high improving physical symptoms (22.8%); (C) high improving symptoms (24.0%); and (D) high not improving symptoms (14.9%). The CBT-I versus the HF self-management group had higher odds of belonging to Group A compared to other trajectories after controlling for baseline fatigue (odds ratio = 3.27, 95% confidence interval 1.39-7.68). The difference between the CBT-I and the HF self-management group was not statistically significant after controlling for baseline characteristics. Group D had the highest body mass index, perceived stress, and insomnia severity and the lowest cognitive ability, HRQoL, and functional performance. Research is needed to further evaluate factors contributing to symptom trajectories.

Correlates of cognition among people with chronic heart failure and insomnia.

PURPOSE: This study aimed to describe cognitive characteristics and their associations with demographic and clinical factors among adults with chronic heart failure (HF) and insomnia. METHODS: We performed a cross-sectional analysis of baseline data from the HeartSleep Study (NCT#02,660,385), a randomized controlled trial designed to evaluate the effects of cognitive-behavioral therapy for insomnia. Demographic characteristics and health history were obtained. We measured sleep characteristics with the Insomnia Severity Index, the PROMIS Sleep Disturbance Questionnaire, and wrist actigraphy. Sleepiness, stress, and quality of life were measured with validated questionnaires. Measures of cognition included frequency of lapses on the psychomotor vigilance test and the PROMIS cognitive abilities scale where ≥ 3 lapses and a score of ≤ 50, respectively, suggested impairment. These variables were combined into a composite score for multivariable analyses. RESULTS: Of a sample that included 187 participants (58% male; mean age 63.1 [SD = 12.7]), 77% had New York Heart Association class I or II HF and 66% had HF with preserved ejection fraction. Common comorbidities were diabetes (35%), hypertension (64%), and sleep apnea (54%). Impaired vigilant attention was associated with non-White race, higher body mass index, less education, and more medical comorbidities. Self-reported cognitive impairment was associated with younger age, higher body mass index, and pulmonary disease. On adjusted analysis, significant risk factors for cognitive impairment included hypertension (OR 1.94), daytime sleepiness (OR 1.09), stress (OR 1.08), and quality of life (OR 0.12). CONCLUSIONS: Impaired cognition is common among people with chronic HF and insomnia and associated with hypertension, daytime sleepiness, stress, and poor quality of life. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: Insomnia Self-management in Heart Failure; NCT#02,660,385.

Costs and Resource Utilization of People with Stable Heart Failure and Insomnia: Evidence from a Randomized Trial of Cognitive Behavioral Therapy for Insomnia.

OBJECTIVES: Nearly half of patients with chronic heart failure (HF) report insomnia symptoms. The purpose of this study was to examine the impact of CBT-I versus HF self-management on healthcare costs and resource utilization among patients with stable chronic HF who participated in a clinical trial of the effects of CBT-I compared to HF self-management education (attention control) over 1 year. METHODS: We measured resource utilization as self-reported (medical record review) physician office visits, emergency department visits, and inpatient admissions at 3-month intervals for 1 year after enrollment. Costs were estimated by applying price weights to visits and adding self-reported out-of-pocket and indirect costs. Univariate comparisons were made of resource utilization and costs between CBT-I and the HF self-management group. A generalized linear model (GLM) was used to model costs, controlling for covariates. RESULTS: The sample included 150 patients [79 CBT-I; 71 self-management (M age = 62 + 13 years)]. The CBT-I group had 4.2 inpatient hospitalizations vs 4.6 for the self-management group (p = .40). There were 13.1 outpatient visits, in the CBT-I compared with 15.4 outpatient visits (p-value range 0.39-0.81) for the self-management group. Total costs were not significantly different in univariate or ($7,813 CBT-I vs. $7,538 self-management), p = .96) or multivariable analyses. CONCLUSIONS: Among patients with both HF and insomnia, CBT-I and HF self-management were associated with similar resource utilization and total costs. Additional research is needed to estimate the value of CBT-I relative to usual care and other treatments for insomnia in patients with HF.

Symptom Cluster Profiles Among Adults with Insomnia and Heart Failure.

OBJECTIVE/BACKGROUND: Both heart failure (HF) and insomnia are associated with high symptom burden that may be manifested in clustered symptoms. To date, studies of insomnia have focused only on its association with single symptoms. The purposes of this study were to: (1) describe daytime symptom cluster profiles in adults with insomnia and chronic HF; and (2) determine the associations between demographic and clinical characteristics, insomnia and sleep characteristics and membership in symptom cluster profiles. PARTICIPANTS: One hundred and ninety-five participants [M age 63.0 (SD12.8); 84 (43.1%) male; 148 (75.9%) New York Heart Association Class I/II] from the HeartSleep study (NCT0266038), a randomized controlled trial of the sustained effects of cognitive behavioral therapy for insomnia (CBT-I). METHODS: We analyzed baseline data, including daytime symptoms (fatigue, pain, anxiety, depression, dyspnea, sleepiness) and insomnia (Insomnia Severity Index), and sleep characteristics (Pittsburgh Sleep Quality Index, wrist actigraphy). We conducted latent class analysis to identify symptom cluster profiles, bivariate associations, and multinomial regression. RESULTS: We identified three daytime symptom cluster profiles, physical (N = 73 participants; 37.4%), emotional (N = 12; 5.6%), and all-high symptoms (N = 111; 56.4%). Body mass index, beta blockers, and insomnia severity were independently associated with membership in the all-high symptom profile, compared with the other symptom profile groups. CONCLUSIONS: Higher symptom burden is associated with more severe insomnia in people with stable HF. There is a need to understand whether treatment of insomnia improves symptom burden as reflected in transition from symptom cluster profiles reflecting higher to lower symptom burden.

Sleep, Stress, and Symptoms Among People With Heart Failure During the COVID-19 Pandemic.

BACKGROUND: The COVID-19 pandemic raised concerns about the effects of stress on sleep and mental health, particularly among people with chronic conditions, including people with heart failure (HF). OBJECTIVE: The aim of this study was to examine changes in sleep, sleep-related cognitions, stress, anxiety, and depression among people with HF who participated in a randomized controlled trial of cognitive behavioral therapy for insomnia before the COVID-19 pandemic. METHODS: Participants self-reported sleep characteristics, symptoms, mood, and stress at baseline, 6 months after cognitive behavioral therapy for insomnia or HF self-management education (attention control), and during the pandemic. RESULTS: The sample included 112 participants (mean age, 63 ± 12.9 years; 47% women; 13% Black; 68% New York Heart Association class II or III). Statistically significant improvements in sleep, stress, mood, and symptoms that occurred 6 months post treatment were sustained during the pandemic. CONCLUSIONS: Improving sleep and symptoms among people with HF may improve coping during stressful events, and cognitive behavioral therapy for insomnia may be protective.

Disability research must be a priority for nurses to advance health equity.

Disability results from an interplay between health conditions and environmental and personal factors. People with disabilities face substantial and ongoing health inequities; however, research to mitigate these inequalities is lacking. There is an urgent need for a better understanding of the multilevel factors that influence health outcomes in people with visible and invisible disabilities across all the lenses of the National Institute of Nursing Research strategic plan. Disability research must be a priority of nurses and the National Institute of Nursing Research to advance health equity for all.

Treatment Fidelity in a Randomized Controlled Trial of Cognitive Behavioral Therapy for Insomnia in Heart Failure.

BACKGROUND: Cognitive behavioral therapy for insomnia (CBT-I) is an efficacious treatment for people with chronic insomnia, including those with heart failure (HF). Treatment fidelity evaluation is needed to ensure study validity and reliability. OBJECTIVE: The aim of this study was to apply the National Institutes of Health Behavioral Change Consortium framework to ensure adequate treatment fidelity in a randomized controlled trial of CBT-I for people with stable HF. METHODS: We describe strategies to ensure treatment fidelity in study design, provider training, and treatment delivery. We measured treatment receipt (observation and self-report) and enactment of CBT-I strategies (self-report and actigraphy). We used the Dysfunctional Beliefs and Attitudes About Sleep Scale and the Sleep Disturbance Questionnaire to indicate sleep-related beliefs and cognitions. We computed descriptive statistics for demographic characteristics, treatment receipt, and enactment variables. We compared baseline and post-intervention dichotomous sleep behaviors using the two-sided Wilcoxon rank-sum test. We calculated the root mean square of successive difference in time of sleep onset and midpoint (actigraphy) to indicate day-by-day variability in bed and wake times. RESULTS: Most participants completed the CBT-I intervention and follow-up assessments and attended each group or make-up session. Most correctly computed their sleep efficiency and completed their homework. Most participants used the sleep tracker and reported using strategies to improve their sleep schedules. There was a significant decrease in actigraph-measured light intensity during the 30 minutes and 1 hour before bedtime between baseline and post-intervention and no statistically significant changes in light intensity after waking or in nap frequency. Most of those who woke during the night got out of bed, consistent with recommendations. There were significant improvements on all of the Dysfunctional Beliefs and Attitudes About Sleep items and total score and all but one item on the Sleep Disturbance Questionnaire. DISCUSSION: Preserved treatment fidelity may explain the large and sustained effects in people with HF found in our trial. Further research is needed to evaluate CBT-I's effectiveness and implementation strategies among people with HF in real-world clinical settings.

Sleep Characteristics, Mood, Somatic Symptoms, and Self-Care Among People With Heart Failure and Insomnia.

BACKGROUND: Almost 50% of people with heart failure (HF) experience chronic insomnia and must perform self-care to manage their day-to-day healthcare needs. Understanding multifactorial influences on self-care, including demographic, clinical, and sleep characteristics, and mood and somatic symptoms will help identify people at highest risk for poor self-care. However, past research focused only on the associations of single symptoms and self-care. Multivariate approaches are needed to account for the synergistic associations of self-care with sleep, mood, and somatic symptoms among people with HF. OBJECTIVES: The aims of the study were to (a) evaluate the levels of self-care maintenance and self-care confidence among people with stable HF and chronic insomnia; (b) identify the clinical and demographic correlates of self-care maintenance and confidence among people with stable HF and chronic insomnia; and (c) identify the associations between sleep characteristics, mood and somatic symptoms, and self-care maintenance and confidence among people with stable HF and chronic insomnia. METHODS: We utilized a cross-sectional design with 195 adult participants who had chronic HF and insomnia. We assessed for symptoms of anxiety; depression; dyspnea; fatigue; stress; insomnia severity; and sleep disturbance, impairment, and quality. Self-care was measured using the Self-Care for Heart Failure Index v6.2. We used generalized linear models to test the associations between the demographic and clinical factors and self-care maintenance and confidence; exploratory and confirmatory factor analysis to identify the factor structure underlying the symptoms; and structural equation modeling to test the combined associations of the demographic and clinical factors and latent factors with self-care maintenance and confidence. RESULTS: Self-care maintenance, confidence, and management were inadequate in most participants. We identified three latent factors among the nine symptoms: "sleep characteristics," "mood," and "somatic symptoms." In the structural equation model, "sleep characteristics," White race, and having a left ventricular ejection fraction of <45 were associated with self-care maintenance. Age was negatively associated with self-care confidence. DISCUSSION: Poor sleep characteristics negatively influence the ability of people with HF and insomnia to perform self-care behaviors. Knowledge of the associations among age, left ventricular ejection fraction, and race with self-care will help clinicians and future researchers identify those at risk for poor self-care.

Factors associated with sleep health in young women after breast cancer treatment.

Young women with breast cancer (YWBC) report physical and psychological symptom distress after therapy but little is known about their sleep health. The purpose of this study was to identify sociodemographic, clinical, and psychosocial factors associated with sleep health and assess the potential role of appraisal of illness and coping on sleep health. An adapted cognitive appraisal and coping conceptual framework guided the study. We used a cross-sectional design with 159 women who were diagnosed with stage I-III breast cancer ≤50 years old. Sleep health was measured by the Pittsburgh Sleep Quality Index (PSQI). The mean age was 43.6 years (SD = 6.8), the majority of whom were non-Hispanic White (84%) and completed chemotherapy or radiotherapy (>70%). More than half of participants (55%) reported poor sleep health (PSQI > 8), and those with worse family functioning and from a racial/ethnic minority group were significantly more likely to have poor sleep health. Cognitive appraisal had a minimal mediation effect for anxiety on sleep health, and coping did not mediate the effect of any psychosocial variables on sleep health. Poor sleep health is a significant clinical problem in YWBC. Further research is needed to explore sleep health disparities among diverse cancer survivors and to examine sleep health in the context of family. Sleep assessment, management, and appropriate referrals to sleep providers should be part of routine survivorship care.

Sleep Characteristics and Rest-Activity Rhythms Are Associated with Gastrointestinal Symptoms Among Adults with Inflammatory Bowel Disease.

BACKGROUND: Sleep disturbance is common in inflammatory bowel disease (IBD) and is associated with poorer quality of life and increased disease activity; however, sleep is a multidimensional process, and little is known about specific sleep characteristics and rest-activity rhythms (RARs) in this population. AIMS: The purposes were to (1) describe sleep characteristics and RARs; (2) compare sleep characteristics and RARs and GI symptoms by disease activity; and (3) describe associations between sleep characteristics, RARs, and GI symptoms among adults with IBD. METHODS: We conducted a cross-sectional study of adults with IBD. We measured sleep characteristics and RARs (continuous wrist actigraphy); GI symptoms (PROMIS-GI); and disease activity (physicians' global assessment). We conducted cosinor and nonparametric analyses to compute RAR variables and bivariate analyses to address the aims. RESULTS: The sample included 37 participants [age M = 38 years (SD = 13.8) and 21 (56.8%) female], of whom 23 (60.6%) were in remission. Sleep efficiency [M = 82.91% (SD 5.35)] and wake after sleep onset (WASO) [M = 42.26 min (SD 18.57)] were not associated with disease activity. Inter-daily stability of the RAR was associated with heartburn/reflux (r = - .491, p = .005) and gas/bloating (r = - .469, p = .008). Intra-daily variability of the RAR was associated with heartburn/reflux (r = .421, p = .018). CONCLUSIONS: People with IBD may have disrupted RARs, which are associated with GI symptoms. Research is needed to improve understanding of these associations and to develop interventions to improve these characteristics in adults with IBD.

Perceived Stress, Subjective, and Objective Symptoms of Disturbed Sleep in Men and Women with Stable Heart Failure.

Objective/Background: Sleep disturbance is prevalent among patients with heart failure (HF) and is associated with increased morbidity and mortality. Stress also affects health and quality of life among patients with cardiovascular disease and likely plays a prominent role in HF. However, little is known about the associations between stress and sleep among HF patients.Participants: One hundred fifty-three stable New York Heart Association (NYHA) Classification I-IV HF patients with at least low symptoms of insomnia (Mage:63.0 ± 12.8, 42% Women).Methods: We examined baseline stress, sleep disturbance, and sleep-related characteristics from a randomized controlled trial of cognitive behavioral therapy for insomnia, including the Perceived Stress Scale, Insomnia Severity Index, Pittsburgh Sleep Quality Index, Epworth Sleepiness Scale, Sleep Disturbance Questionnaire, Dysfunctional Beliefs about Sleep Scale, PROMIS Cognitive Ability, SF-36 Mental Health, and wrist actigraphy. We used Pearson correlations and general linear models to assess stress-sleep associations, including the potential moderating effects of sex and symptom severity (NYHA).Results: There were moderate-to-large correlations between stress and self-reported sleep disturbance, dysfunctional beliefs about sleep, cognitive ability, and mental health (p's < 0.01). High stress was associated with more objectively-measured (i.e., actigraph-assessed) awakenings and sleep fragmentation among women than men (ß = - 0.04, p < 0.01; ß = - 0.71, p = 0.04). Relationships between stress and objectively-measured sleep did not vary by symptom severity.Conclusions: Perceived stress is related to sleep disturbance among HF patients, and effects may be sex-dependent. Subsequent research should determine the temporal links between sleep and stress, and optimal opportunities for intervention among HF patients.

Day-to-day Relationships between Physical Activity and Sleep Characteristics among People with Heart Failure and Insomnia.

OBJECTIVE: Examine the bidirectional relationships between within-person day-to-day fluctuations in physical activity (PA) and sleep characteristics among people with heart failure (HF) and insomnia. PARTICIPANTS: Ninety-seven community-dwelling adults [median age 61.9 (interquartile range 55.3,70.9) years, female 41%] with stable HF and insomnia (insomnia severity index >7). METHODS: This sub-study longitudinally analyzed 15 consecutive days and nights of wrist actigraphy recordings, that were collected for baseline data prior to participation in a randomized controlled trial of cognitive behavioral therapy for insomnia. We used two-level mixed models of within- (daily) and between-participants variation to predict daytime PA counts/minutes from sleep variables (total sleep time, sleep efficiency) and predict sleep variables from PA. RESULTS: PA counts/minutes were low compared to prior cohorts that did not have HF (209 (166,259)) and negatively associated with NYHA class (standardized coefficient ßs = -0.14, p < .01), age (ßs = -0.13, p = .01), comorbidities (ßs = -0.19, p < .01), and body mass index (ßs = -0.12, p = .04). After adjustment for all significant covariates, the within-participant association of total sleep time with next-day PA was estimated to be positive among participants with NYHA class II-IV HF (ßs = 0.09, p = .01), while the within-participant association of PA with same-night total sleep time was estimated to be positive among participants aged ≥60 years (ßs = 0.10, p = .03). CONCLUSIONS: Depending upon age and HF class, daytime PA was associated with longer same-night sleep and/or longer sleep was associated with greater next-day PA. Among those with more advanced HF, realistic sleep improvements were associated with clinically meaningful PA gains the next day.

Symptom cluster profiles following traumatic orthopedic injuries: A protocol.

Traumatic injuries affect millions of Americans annually, resulting in $671 billion in healthcare costs and lost productivity. Postinjury symptoms, like pain, sleep disturbance, anxiety, depression, and stressor-related disorders are highly prevalent following traumatic orthopedic injuries (TOI) and may contribute to negative long-term outcomes. Symptoms rarely present in isolation, but in clusters of two or more symptoms that co-occur to affect health in aggregate. Identifying symptom cluster profiles following TOI may identify those at highest risk for negative outcomes. Dysregulation of brain-derived neurotrophic factor (BDNF) is a potential biological mechanism responsible for symptom cluster profile membership after TOI and may be targeted in future precision-health applications. The purpose of this paper is to present the protocol of a cross-sectional study designed to identify symptom cluster profiles and measure the extent to which the BDNF val66met mutation and serum concentration of BDNF are associated with membership in symptom cluster profiles. We plan to recruit 150 TOI survivors within the first 72 h of injury. The study aims are to (1) describe TOI survivors' membership in symptom cluster profiles, indicated by pain, sleep disturbance, and symptoms of anxiety, depression, and stressor-related disorders, immediately following a TOI; (2) examine associations between demographic and clinical factors and symptom cluster profile membership among TOI survivors; (3) test the hypothesis that low serum concentrations of BDNF are associated with membership among symptom cluster profiles following TOI; and (4) test the hypothesis that the presence of the val66met mutation on one or both alleles of the BDNF gene is associated with membership among symptom cluster profiles following TOI.

Anxiety Symptoms After Orthopedic Injury: A Systematic Review.

BACKGROUND: Millions of Americans are injured each year, with 75% suffering orthopedic injuries. Those with orthopedic injury often experience postinjury symptoms, such as anxiety, that negatively influence long-term outcomes. The purpose of this systematic review was to evaluate (1) the prevalence of anxiety symptoms chronologically in relation to time of orthopedic injury, (2) the associations of anxiety symptoms with other symptoms in individuals with orthopedic injury, and (3) the associations between anxiety symptoms and functional performance and mental health outcomes in individuals with orthopedic injury. METHODS: The databases CINAHL, Ovid MEDLINE, Ovid PsycInfo, Ovid Embase, ProQuest, and ClinicalTrials.gov were searched on June 25, 2020. Studies were selected for review if (1) participants were 16 years or older, (2) the prevalence of anxiety symptoms was listed, (3) anxiety symptoms were assessed using a validated instrument, (4) the study was published in English, and (5) more than 50% of the participants suffered orthopedic injury to the appendicular skeleton or pelvic ring. RESULTS: Anxiety symptoms were present in 11.5%-55.9% of individuals up to 10 years after orthopedic injury and often co-occurred with those of depression, pain, and posttraumatic stress disorder to negatively influence functional performance and mental health outcomes. CONCLUSIONS: Anxiety symptoms post-orthopedic injury are highly prevalent and persistent. Anxiety symptoms are associated with other distressing symptoms and influence long-term outcomes. These findings highlight the need to screen for and treat anxiety symptoms following orthopedic injury and may help in designing future self-management interventions.

Effects of Cognitive Behavioral Therapy for Insomnia on Sleep, Symptoms, Stress, and Autonomic Function Among Patients With Heart Failure.

Background: Insomnia is common among patients with stable heart failure (HF) and associated with inflammation and altered autonomic function. Purpose: The purposes of this study were to examine the effects of cognitive behavioral therapy for insomnia (CBT-I) on the Hypothalamic Pituitary (HPA) Axis, autonomic function, inflammation, and circadian rhythmicity and the associations between these biomarkers and insomnia, sleep characteristics, symptoms, functional performance, and sleep-related cognitions. Methods: We conducted a subanalysis of a pilot randomized controlled trial (RCT, NCT02827799) whose primary aim was to test the effects of CBT-I on insomnia. We randomized 51 patients with stable Class II-IV HF to CBT-I (n = 30) or attention control (n = 21). Participants completed wrist actigraphy and self-reported insomnia severity, sleep characteristics, sleep-related cognitions, daytime symptoms, and functional performance. We measured day and nighttime urinary free cortisol, melatonin sulfate, epinephrine, and norepinephrine at baseline, and two weeks after CBT-I and computed general linear models and partial correlations. Results: CBT-I had no effects on the biomarkers, but there were statistically significant negative cross-sectional correlations between the ratio of day and night urinary free cortisol and sleep disturbance, anxiety, fatigue, depression, and negative sleep cognitions. Increases in the ratio between day and night cortisol were associated with statistically significant improvements in fatigue, depression, sleep duration, and sleep-related cognitions. Conclusions: Biomarkers of stress and autonomic function are associated with sleep, sleep-related symptoms, and cognitions among people with chronic HF. Future studies are needed to identify potential causal relationships and the impact of sleep interventions.

Discrepancy between wrist-actigraph and polysomnographic measures of sleep in patients with stable heart failure and a novel approach to evaluating discrepancy.

Wrist-actigraphy is often used to measure sleep characteristics in a variety of populations, but discrepancies between actigraphic and polysomnographic measures have been noted in populations experiencing poor sleep quality. The purpose of this study is to examine the discrepancy between these measures and risk factors for discrepancy in people with heart failure using a novel index. We used sleep measures simultaneously recorded by actigraphy and polysomnography, and clinical data from a cross-sectional study of 155 patients with heart failure (age = 60.5 [16.1] years; 65.2% male) recruited from evidence-based heart failure disease management programmes. The discrepancy and consistency between the two measures were evaluated using Bland-Altman plots, intra-class correlations and a newly developed index that represents activity counts in wake episodes. Overall, participants had short total sleep time (327.7 [95.9] min) and poor sleep efficiency (71.3 [16.0]%) on polysomnography. The discrepancies between sleep measures were small in patients less than 60 years old, and there was excellent consistency (intra-class correlation = 0.81) compared with older patients who had poorer consistency (intra-class correlation = 0.53) on total sleep time. Higher daytime motor activity, poor sleep quality and more severe insomnia were associated with smaller discrepancies in older, but not younger, patients, and associations were more sensitively detected by the new index. These findings suggest the importance of aging, disability and co-morbidity that may influence motor activity from which sleep estimates are scored with actigraphy. The new index may be useful in identifying factors associated with the correspondence between actigraphy and polysomnography.

Daytime and Nighttime Sleep Characteristics and Pain Among Adults With Stable Heart Failure.

BACKGROUND: Pain and sleep disturbance are common among patients with heart failure (HF) and are associated with symptom burden, disability, and poor quality of life. Little is known about the associations between specific sleep characteristics and pain in people with HF. OBJECTIVE: The aim of this study was to describe the relationships between nocturnal sleep characteristics, use of sleep medication, and daytime sleep characteristics and pain among people with HF. METHODS: We conducted a cross-sectional study of stable participants with HF. We administered the SF36 Bodily Pain Scale, Pittsburgh Sleep Quality Index, and Sleep Habits Questionnaire and obtained 3 days of wrist actigraphy and 1 night of home unattended polysomnography. We conducted bivariate analyses and generalized linear models. RESULTS: The sample included 173 participants (mean [SD] age, 60 [16.1] years; 65.3% [n = 113] male). Insomnia symptoms (P = .0010), sleep duration (P = .0010), poor sleep quality (P = .0153), use of sleep medications (P = .0170), napping (P = .0029), and daytime sleepiness (P = .0094) were associated with increased pain. Patients with the longest sleep duration, who also had insomnia, had more pain (P = .0004), fatigue (P = .0028), daytime sleepiness (P = .0136), and poorer sleep quality (P < .0001) and took more sleep medications (P = .0029) than did those without insomnia. CONCLUSIONS: Pain is associated with self-reported poor sleep quality, napping, daytime sleepiness, and use of sleep medication. The relationship between pain and sleep characteristics differs based on the presence of insomnia and sleep duration. Studies are needed to evaluate the causal relationships between sleep and pain and test interventions for these cooccurring symptoms.

Identification of genetic variants associated with dengue or West Nile virus disease: a systematic review and meta-analysis.

BACKGROUND: Dengue and West Nile viruses are highly cross-reactive and have numerous parallels in geography, potential vector host (Aedes family of mosquitoes), and initial symptoms of infection. While the vast majority (> 80%) of both dengue and West Nile virus infections result in asymptomatic infections, a minority of individuals experience symptomatic infection and an even smaller proportion develop severe disease. The mechanisms by which these infections lead to severe disease in a subset of infected individuals is incompletely understood, but individual host differences including genetic factors and immune responses have been proposed. We sought to identify genetic risk factors that are associated with more severe disease outcomes for both viruses in order to shed light on possible shared mechanisms of resistance and potential therapeutic interventions. METHODS: We applied a search strategy using four major databases (Medline, PubMed, Embase, and Global Health) to find all known genetic associations identified to date with dengue or West Nile virus disease. Here we present a review of our findings and a meta-analysis of genetic variants identified. RESULTS: We found genetic variations that are significantly associated with infections of these viruses. In particular we found variation within the OAS1 (meta-OR = 0.83, 95% CI: 0.69-1.00) and CCR5 (meta-OR = 1.29, 95% CI: 1.08-1.53) genes is significantly associated with West Nile virus disease, while variation within MICB (meta-OR = 2.35, 95% CI: 1.68-3.29), PLCE1 (meta-OR = 0.55, 95% CI: 0.42-0.71), MBL2 (meta-OR = 1.54, 95% CI: 1.02-2.31), and IFN-γ (meta-OR = 2.48, 95% CI: 1.30-4.71), is associated with dengue disease. CONCLUSIONS: Despite substantial heterogeneity in populations studied, genes examined, and methodology, significant associations with genetic variants were found across studies within both diseases. These gene associations suggest a key role for immune mechanisms in susceptibility to severe disease. Further research is needed to elucidate the role of these genes in disease pathogenesis and may reveal additional genetic factors associated with disease severity.

Longitudinal Changes in Symptom Cluster Membership in Inflammatory Bowel Disease.

PURPOSE: To describe changes in symptom cluster membership over 1 year and to examine which demographic and clinical factors predict changes in symptom cluster membership among adults with inflammatory bowel disease. DESIGN: A retrospective longitudinal study of the Crohn's & Colitis Foundation of America Partners Cohort from 2012 to 2015. METHODS: We measured symptoms of pain interference, fatigue, sleep disturbance, depression, and anxiety. We used latent transition analysis to describe changes in symptom cluster membership (baseline, 6 months, and 12 months) and multinomial regressions to examine factors associated with symptom cluster membership transition. FINDINGS: Four groups were identified (N = 5,296): high symptom burden (32.3%-35.3%), low symptom burden (24.2%-27.1%), physical symptoms (19.0%-20.9%; pain, fatigue, sleep disturbance), and psychological symptoms (20.0%-21.5%; depression, anxiety). The probability of staying in the same group was .814 to .905. Moving from active disease into remission was associated with moving from the high burden to low burden and psychological symptom groups. CONCLUSIONS: Symptom cluster membership was quite stable over 1 year. Research is needed to understand the underlying etiology of symptom clusters better and to develop interventions to reduce symptom burden in this vulnerable population. CLINICAL RELEVANCE: Careful consideration of symptom management options should be done with patients to select options that are effective and potentially target multiple symptoms.