Novel physiologic predictors of positive airway pressure effectiveness (NICEPAP) study: rationale, design and methods.

PURPOSE: Continuous positive airway pressure (CPAP) is the primary therapy for obstructive sleep apnea (OSA); however the effectiveness of CPAP remains suboptimal. We describe the Novel PhysIologiC prEdictors of Positive Airway Pressure Effectiveness (NICEPAP) study. Its purpose is to determine whether physiological traits of OSA contribute to CPAP effectiveness. METHODS: NICEPAP (NCT05067088) is a prospective, observational cohort study conducted at an academic sleep center. Adults newly diagnosed with OSA (n = 267) are assessed for OSA traits of loop gain, arousal threshold, pharyngeal collapsibility, and muscle compensation from baseline polysomnography. We perform a comprehensive assessment of covariates relevant to CPAP adherence, efficacy, and patient-centered outcomes. Participants are followed for 12 months. Primary outcomes include (1) CPAP adherence (hours/night), (2) CPAP efficacy (apneas-hypopneas/hour), and (3) quality of life at six months measured by objective CPAP data and Functional Outcomes of Sleep Questionnaire. Secondary outcomes include sleep quality, sleepiness, insomnia, and neurocognitive function. RESULTS: Data on covariates, including demographics, sleep symptoms, medical history, medications, sleep quality, OSA and treatment self-efficacy, decisional balance, and socio-economic and social and partner support, are collected using validated instruments. The analysis for primary outcomes includes a generalized linear mixed model for an outcome (e.g., CPAP adherence) with OSA traits as exposures followed by the addition of relevant covariates. CONCLUSION: The findings of the NICEPAP study will inform research aimed to enhance CPAP effectiveness. Understanding the role of physiological OSA traits in CPAP effectiveness is a crucial step toward a precision medicine approach to OSA.

The CARING study: Examining biological, behavioral, and genetic mechanisms in the intergenerational transmission of toxic stress.

When children experience extreme or persistent stressors (e.g., maltreatment, housing insecurity, intimate partner violence), prolonged elevation of the stress-response system can lead to disrupted development of multiple physiological systems. This response, known as toxic stress, is associated with poor physical and mental health across the life course. Emerging evidence suggests that the effects of toxic stress may be transmitted through generations, but the biological and behavioral mechanisms that link caregivers' childhood history with the health of the children they care for remain poorly understood. The purpose of this report is to describe the research protocol for The CARING (Childhood Adversity and Resilience In the Next Generation) Study, a cross-sectional study of caregivers with children aged 3-5 years designed to (1) examine the intergenerational transmission of toxic stress and protective factors; (2) explore three hypothesized pathways of transmission: parenting, daily routines, stressors, and supports; and (3) explore the extent to which genotypic variation in candidate genes related to caregiving and stress contribute to caregivers' and children's susceptibility to the effects of early childhood experiences (i.e., gene × environment interactions). We expect that findings from this study will provide critical data needed to identify targets for precision health interventions, reduce health disparities related to toxic stress, and prevent cycles of adversity among families at risk.

Variation in Specialist Palliative Care Reach and Associated Factors Among People With Advanced Heart Failure in the Department of Veterans Affairs.

CONTEXT: Clinical practice guidelines recommend palliative care for people with advanced heart failure (aHF), yet it remains underutilized. OBJECTIVES: We examined medical center variation in specialist palliative care (SPC) and identified factors associated with variation among people with aHF. METHODS: We conducted a retrospective cohort study of 21,654 people with aHF who received healthcare in 83 Veterans Affairs Medical Centers (VAMCs) from 2018-2020. We defined aHF with ICD-9/10 codes and hospitalizations. We used random intercept multilevel logistic regression to derive SPC reach (i.e., predicted probability) for each VAMC adjusting for demographic and clinical characteristics. We then examined VAMC-level SPC delivery characteristics associated with predicted SPC reach including the availability of outpatient SPC (proportion of outpatient consultations), cardiology involvement (number of outpatient cardiology-initiated referrals), and earlier SPC (days from aHF identification to consultation). RESULTS: Of the sample the mean age = 72.9+/-10.9 years, 97.9% were male, 61.6% were White, and 32.2% were Black. The predicted SPC reach varied substantially across VAMCs from 9% to 57% (mean: 28% [95% Confidence Interval: 25%-30%]). Only the availability of outpatient SPC was independently associated with higher SPC reach. VAMCs, in which outpatient delivery made up the greatest share of SPC consultations (9% or higher) had 11% higher rates of SPC reach relative to VAMCs with a lower proportion of outpatient SPC. CONCLUSION: SPC reach varies widely across VAMCs for people with aHF. Outpatient palliative is common among high-reach VAMCs but its role in reach warrants further investigation. Strategies used by high-reach VAMCs may be potential targets to test for implementation and dissemination.

Experiences of Stigma and Discrimination Compounded by Intersecting Identities among Individuals Receiving Medication for Opioid Use Disorder.

Stigma and discrimination create barriers to care among people receiving medication for opioid use disorder (MOUD). We report qualitative findings from a mixed methods study guided by three aims: to explore (1) intersecting identities of people receiving MOUD (2) how individuals experience stigma and discrimination and (3) helpful resources in addressing cumulative experiences of multiple forms of disadvantage. We conducted interviews with 25 individuals in three treatment centers in the Northeast United States and identified six themes: (1) Living with multiple socially marginalized identities and addiction; (2) Loss; (3) "It's everywhere": Discrimination and stigma; (4) A "damaged" identity, (5) Positive responses to negative experiences: Facing reality and becoming accountable, and (6) Experiencing treatment and identifying supportive interventions. Findings highlight the complexity of intersecting, marginalized social positions. Future work should look beyond one-size-fits-all approaches to care and recognize individual vulnerabilities and strengths for improving outcomes among those experiencing OUD.

Screen time, sleep, brain structural neurobiology, and sequential associations with child and adolescent psychopathology: Insights from the ABCD study.

Background and Aims: The precise roles of screen media activity (SMA) and sleep problems in relation to child/adolescent psychopathology remain ambiguous. We investigated temporal relationships among sleep problems, SMA, and psychopathology and potential involvement of thalamus-prefrontal-cortex (PFC)-brainstem structural covariation. Methods: This study utilized data from the Adolescent Brain Cognitive Development study (n = 4,641 ages 9-12) at baseline, Year1, and Year2 follow-up. Cross-Lagged Panel Models (CLPMs) investigated reciprocal predictive relationships between sleep duration/problems, SMA, and psychopathology symptoms. A potential mediating role of baseline Thalamus-PFC-brainstem covariation on SMA-externalizing relationships was examined. Results: Participants were divided into discovery (n = 2,359, 1,054 girls) and replication (n = 2,282, 997 girls) sets. CLPMs showed 1) bidirectional associations between sleep duration and SMA in late childhood, with higher frequency SMA predicting shorter sleep duration (ß = -0.10 [95%CI: -0.16, -0.03], p = 0.004) and vice versa (ß = -0.11 [95%CI: -0.18, -0.05], p < 0.001); 2) externalizing symptoms at age 10-11 predicting sleep problems (ß = 0.11 [95%CI: 0.04, 0.19], p = 0.002), SMA (ß = 0.07 [95%CI: 0.01, 0.13], p = 0.014), and internalizing symptoms (ß = 0.09 [95%CI: 0.05, 0.13], p < 0.001) at age 11-12; and 3) externalizing behavior at age 10-11 partially mediating the relationship between baseline thalamus-PFC-brainstem covariation and SMA at age 11-12 (indirect effect = 0.032 [95%CI: 0.003, 0.067], p-value = 0.030). Findings were replicable. Conclusion: We found bi-directional SMA-sleep-duration associations in late childhood. Externalizing symptoms preceded future SMA and sleep disturbances and partially mediated relationships between structural brain covariation and SMA. The findings emphasize the need for understanding individual differences and developing and implementing integrated strategies addressing both sleep concerns and screen time to mitigate potential impacts on psychopathology.

Investigating brain dynamics and their association with cognitive control in opioid use disorder using naturalistic and drug cue paradigms.

Objectives: Opioid use disorder (OUD) impacts millions of people worldwide. The prevalence and debilitating effects of OUD present a pressing need to understand its neural mechanisms to provide more targeted interventions. Prior studies have linked altered functioning in large-scale brain networks with clinical symptoms and outcomes in OUD. However, these investigations often do not consider how brain responses change over time. Time-varying brain network engagement can convey clinically relevant information not captured by static brain measures. Methods: We investigated brain dynamic alterations in individuals with OUD by applying a new multivariate computational framework to movie-watching (i.e., naturalistic; N=76) and task-based (N=70) fMRI. We further probed the associations between cognitive control and brain dynamics during a separate drug cue paradigm in individuals with OUD. Results: Compared to healthy controls (N=97), individuals with OUD showed decreased variability in the engagement of recurring brain states during movie-watching. We also found that worse cognitive control was linked to decreased variability during the rest period when no opioid-related stimuli were present. Conclusions: These findings suggest that individuals with OUD may experience greater difficulty in effectively engaging brain networks in response to evolving internal or external demands. Such inflexibility may contribute to aberrant response inhibition and biased attention toward opioid-related stimuli, two hallmark characteristics of OUD. By incorporating temporal information, the current study introduces novel information about how brain dynamics are altered in individuals with OUD and their behavioral implications.

Impact of Sleep Disorders and Disturbed Sleep on Brain Health: A Scientific Statement From the American Heart Association.

Accumulating evidence supports a link between sleep disorders, disturbed sleep, and adverse brain health, ranging from stroke to subclinical cerebrovascular disease to cognitive outcomes, including the development of Alzheimer disease and Alzheimer disease-related dementias. Sleep disorders such as sleep-disordered breathing (eg, obstructive sleep apnea), and other sleep disturbances, as well, some of which are also considered sleep disorders (eg, insomnia, sleep fragmentation, circadian rhythm disorders, and extreme sleep duration), have been associated with adverse brain health. Understanding the causal role of sleep disorders and disturbances in the development of adverse brain health is complicated by the common development of sleep disorders among individuals with neurodegenerative disease. In addition to the role of sleep disorders in stroke and cerebrovascular injury, mechanistic hypotheses linking sleep with brain health and biomarker data (blood-based, cerebrospinal fluid-based, and imaging) suggest direct links to Alzheimer disease-specific pathology. These potential mechanisms and the increasing understanding of the "glymphatic system," and the recognition of the importance of sleep in poststroke recovery, as well, support a biological basis for the indirect (through the worsening of vascular disease) and direct (through specific effects on neuropathology) connections between sleep disorders and brain health. Given promising evidence for the benefits of treatment and prevention, sleep disorders and disturbances represent potential targets for early treatment that may improve brain health more broadly. In this scientific statement, we discuss the evidence supporting an association between sleep disorders and disturbances and poor brain health ranging from stroke to dementia and opportunities for prevention and early treatment.

"It's all connected:" A mixed methods study of insomnia, stigma, and discrimination among individuals on medication for opioid use disorder.

OBJECTIVES: Insomnia is one of the most common sleep disorders among those with opioid use disorder (OUD), including those on medication for OUD. There is a dearth of literature exploring the role of social stressors on sleep outcomes among this group. The purpose of this study was to explore the association between OUD-related stigma and intersectional discrimination with insomnia among individuals on medication for OUD. METHODS: Participants were recruited from treatment clinics in the Northeast United States. Using a convergent mixed-methods research design, we explored associations with stigma (The Brief Opioid Stigma Scale), intersectional discrimination (Intersectional Discrimination Index), and insomnia (Insomnia Severity Index) through quantitative survey data and qualitative data from interviews for participant experiences. Data from the quantitative (n = 120) and qualitative (n = 25) components of the study were integrated for interpretation. RESULTS: Quantitative analysis indicated weak to moderate positive correlations between intersectional discrimination, and exploratory variables including pain, perceived stress, and psychological distress with insomnia severity. The qualitative analysis generated 4 main themes, which highlighted negative emotions and ruminations as factors that participants connected experiences with stigma and discrimination to poor sleep outcomes. Integration of data identified concordant and discordant findings. CONCLUSIONS: Stigma, discrimination, physical symptoms, and psychological distress appear to contribute to poor sleep outcomes among those with OUD. Future research should target maladaptive outcomes of rumination and negative emotions to improve sleep outcomes among those with OUD.

Focus Group Study of Heart Failure Nurses' Perceptions of the Feasibility of Cognitive Behavioral Therapy for Insomnia.

BACKGROUND: People with heart failure (HF) often report insomnia with daytime consequences, including fatigue and decreased functional performance. Cognitive behavioral therapy for insomnia is an efficacious treatment, but few have access because of a shortage of trained sleep specialists. Access may be improved by offering it where people with HF receive care. OBJECTIVES: The purpose of this study was to explore the perceptions of nurses who specialize in HF regarding the value of cognitive behavioral therapy for insomnia to their patients, the feasibility of offering it in HF clinical settings, its delivery by nurses, and preferences for modes of delivery. METHODS: We used a descriptive qualitative study design. We recruited focus group participants via e-mail to American Association of Heart Failure Nurses members and through requests for nurse collaborators to distribute within their networks. We conducted focus groups via Zoom. After describing cognitive behavioral therapy for insomnia and its efficacy for people with HF, we elicited perceptions about its value if provided in the HF outpatient clinical setting, facilitators and barriers to implementation, and other ways to increase access. We audio-recorded and transcribed the discussions. Two researchers coded the data and performed thematic analysis. RESULTS: Four focus groups included 23 registered nurses and advanced practice nurses employed in outpatient HF clinics. We identified five themes: "Insomnia Overlooked," "Cognitive Behavioral Therapy for Insomnia Works," "Nurses' Role," "Barriers and Supports," and "Modes of Delivery." Nurses endorsed the importance of insomnia to people with HF and the value of providing cognitive behavioral therapy. They expressed interest in evaluating and addressing sleep, the need for increased resources to address it, and multiple modes of delivery. All nurses believed they had a role in promoting sleep health but differed in their views about providing cognitive behavioral therapy for insomnia. DISCUSSION: Nurses specializing in HF support the implementation of cognitive behavioral therapy for insomnia. Implementation studies are needed to identify effective methods to increase access to this efficacious treatment in outpatient HF clinical settings, including support and training for nurses who are interested and able to deliver it.

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.

An observational pilot study of sleep disruption and delirium in critically ill children.

BACKGROUND: Sleep disruption is frequently observed in children with delirium in the pediatric intensive care unit (PICU). OBJECTIVES: This observational pilot study explores relationships among modifiable characteristics of the PICU environment (i.e., light, sound, clinician caregiving patterns), sleep disruption, and delirium. METHODS: Ten children, 1 to 4 years old, were recruited within 48 h of PICU admission and followed until discharge. A light meter, dosimeter, and video camera were placed at bedside to measure PICU environmental exposures. Sleep was measured via actigraphy. Twice daily delirium screening was conducted. Descriptive statistics were used to describe the PICU environment, sleep, and delirium experienced by children. Bivariate analyses were performed to determine relationships among variables. RESULTS: Average participant age was 21 (SD = 9.6) months. Eight (80%) were admitted for respiratory failure. Median PICU length of stay was 36.7 (IQR[29.6, 51.5]) hours, which limited data collection duration. Delirium prevalence was 60% (n = 6). Children experienced low daytime light levels (x¯ = 112.8 lux, SD = 145.5) and frequent peaks (x¯ = 1.9/hr, SD = 0.5) of excessive sound (i.e., ≥ 45 A-weighted decibels). Clinician caregiving episodes were frequent (x¯ = 4.5/hr, SD = 2.6). Children experienced 7.3 (SD = 2.1) awakenings per hour of sleep and a median sleep episode duration of 1.4 (IQR[0.6, 2.3]) hours. On average, children with delirium experienced 1.1 more awakenings per sleep hour and 42 fewer minutes of sleep per sleep episode during the night shift. Increased clinician care frequency and duration were associated with worse sleep quality and delirium. CONCLUSIONS: Study results will inform future, large-scale research and nurse-driven sleep promotion interventions.

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.

Wake-up Call: Night Shifts Adversely Affect Nurse Health and Retention, Patient and Public Safety, and Costs.

The purpose of this mini review is to (1) summarize the findings on the impact of night shift on nurses' health and wellness, patient and public safety, and implications on organizational costs and (2) provide strategies to promote night shift nurses' health and improve organizational costs. The night shift, compared with day shift, results in poorer physical and mental health through its adverse effects on sleep, circadian rhythms, and dietary and beverage consumption, along with impaired cognitive function that increases nurse errors. Nurse administrators and health care organizations have opportunities to improve nurse and patient safety on night shifts. Low-, moderate-, and higher-cost measures that promote night nurses' health and well-being can help mitigate these negative outcomes. The provided individual and organizational recommendations and innovations support night shift nurses' health, patient and public safety, and organizational success.

Early emergence of racial and ethnic differences in sleep health among toddlers living in low-income families.

OBJECTIVES: Emerging evidence suggests racial and ethnic and socioeconomic differences in children's sleep health, yet few have examined these differences among very young children. The purpose of this study is to identify potential racial, ethnic, and sociodeomographic factors associated with multiple dimensions of sleep health in toddlers living in very low-income families. PARTICIPANTS: Sample included 110 racially and ethnically diverse dyads with toddlers aged 12-15 months living in low-income families. METHODS: Actigraph data (9 days and nights), caregiver completed sleep diaries, Brief Infant Sleep Questionnaire-extended, and caregiver-reported socioeconomic characteristics were collected. RESULTS: Toddlers' average sleep duration (10.25 hours; SD = 0.76) was less than the age-based recommendations. There were significant race and ethnic differences in toddler's actigraph-measured bedtime (p < .001) and variability in bedtimes (p = .004). Non-LatinX White toddlers had earlier bedtimes and less variability than Black and LatinX children. These between-group differences remained statistically significant after controlling for measured socioeconomic variables (p's < 0.001). Within racial and ethnic group differences in bedtime and bedtime variability by education, employment, and marital status were identified with medium to large effect sizes. CONCLUSIONS: Racial and ethnic between-group differences in sleep occurred as early as 12 months of age and were not explained by sociodemographic variables (eg, income-to-needs, education, housing). Further research is necessary to determine structural and contextual factors that explain the racial and ethnic differences in sleep health in early childhood. Identifying these factors may inform the development of socially and culturally tailored interventions to reduce sleep health disparities.

Correlates of Perceived Discrimination Related to Substance Use Disorders Among Patients in Methadone Maintenance Treatment.

This study sought to examine demographic, treatment-related, and diagnosis-related correlates of substance use disorder (SUD)-related perceived discrimination among patients receiving methadone maintenance treatment (MMT). Participants were 164 patients at nonprofit, low-barrier-to-treatment-access MMT programs. Participants completed measures of demographics, diagnosis-related characteristics (Brief Symptom Inventory (BSI-18) and Depressive Experiences Questionnaire (DEQ)), and treatment-related characteristics. Perceived discrimination was measured on a seven-point Likert-type scale ranging from 1 ("Not at all") to 7 ("Extremely") in response to the item: "I often feel discriminated against because of my substance abuse." Given the variable's distribution, a median split was used to categorize participants into "high" and "low" discrimination groups. Correlates of high and low discrimination were analyzed with bivariate and logistic regression models. Ninety-four participants (57%) reported high SUD-related perceived discrimination. Bivariate analyses identified six statistically significant correlates of SUD-related perceived discrimination (P < .05): age, race, age of onset of opioid use disorder, BSI-18 Depression, DEQ Dependency, and DEQ Self-Criticism. In the final logistic regression model, those with high (versus low) SUD-related perceived discrimination were more likely to report depressive symptoms and be self-critical. Patients in MMT with high compared to low SUD-related perceived discrimination may be more likely to report being depressed and self-critical.

Something Has to Give: An Urban Community-Engaged Focus Group Study of Teen Sleep.

Sleep is critical to teen physical and mental health, daily function, and school performance. Yet, sleep deficiency is prevalent among ethnoracially diverse teens. The purpose of this community-engaged focus group study was to explore multilevel influences on teen sleep from teen and community stakeholder perspectives and to use this information to develop a tailored sleep health intervention. We conducted seven focus groups (N = 46) and analyzed data via content analysis. Five themes, each with subthemes, described sleep knowledge/attitudes, sleep habits, the multilevel causes and consequences of decreased nighttime sleep and suggestions for improving teen sleep. Teen health, mood, and school engagement were all impacted by inadequate nighttime sleep. Exhaustion emerged as an overarching theme and coincided with the transition to high school. The data from this study provide insight into important areas of focus for a sleep intervention tailored to the needs of ethnoracially diverse teens living in an urban community.

Validation of Electronic Health Record-Based Algorithms to Identify Specialist Palliative Care Within the Department of Veterans Affairs.

BACKGROUND: The measurement of specialist palliative care (SPC) across Department of Veterans Affairs (VA) facilities relies on algorithms applied to administrative databases. However, the validity of these algorithms has not been systematically assessed. MEASURES: In a cohort of people with heart failure identified by ICD 9/10 codes, we validated the performance of algorithms to identify SPC consultation in administrative data and differentiate outpatient from inpatient encounters. INTERVENTION: We derived separate samples of people by receipt of SPC using combinations of stop codes signifying specific clinics, current procedural terminology (CPT), a variable representing encounter location, and ICD-9/ICD-10 codes for SPC. We calculated sensitivity, specificity, and positive and negative predictive values (PPV, NPV) for each algorithm using chart review as the reference standard. OUTCOMES: Among 200 people who did and did not receive SPC (mean age = 73.9 years (standard deviation [SD] = 11.5), 98% male, 73% White), the validity of the stop code plus CPT algorithm to identify any SPC consultation was: Sensitivity = 0.89 (95% Confidence Interval [CI] 0.82-0.94), Specificity = 1.0 [0.96-1.0], PPV = 1.0 [0.96-1.0], NPV = 0.93 [0.86-0.97]. The addition of ICD codes increased sensitivity but decreased specificity. Among 200 people who received SPC (mean age = 74.2 years [SD = 11.8], 99% male, 71% White), algorithm performance in differentiating outpatient from inpatient encounters was: Sensitivity = 0.95 (0.88-0.99), Specificity = 0.81 (0.72-0.87), PPV = 0.38 (0.29-0.49), and NPV = 0.99 (0.95-1.0). Adding encounter location improved the sensitivity and specificity of this algorithm. CONCLUSIONS: VA algorithms are highly sensitive and specific in identifying SPC and in differentiating outpatient from inpatient encounters. These algorithms can be used with confidence to measure SPC in quality improvement and research across the VA.

Rest-activity rhythms predict time to hospitalizations and emergency department visits among participants in a randomized control of adults with heart failure and insomnia.

BACKGROUND: We examined the effects of insomnia and diurnal rest-activity rhythms (RARs) on time to hospitalizations and emergency department (ED) visits in a randomized controlled trial of cognitive behavioral therapy for insomnia among people with chronic heart failure (HF) and insomnia. METHODS: Among 168 HF patients, we measured insomnia, CPAP use, sleep, symptoms, and 24-h wrist actigraphy and computed the circadian quotient (strength of the RAR) from wrist actigraphy and computed cox-proportional hazard and frailty models. RESULTS: Eighty-five (50.1%) and ninety-one (54.2%) participants had at least one hospitalization or ED visit, respectively. NYHA class and comorbidity predicted time to hospitalizations and ED visits, while younger age and male sex predicted earlier hospitalizations. Low ejection fraction predicted time to first cardiac event and composite events. Independent of clinical and demographic predictors, a lower circadian quotient and more severe pain significantly predicted earlier hospitalizations. A more robust circadian quotient, more severe insomnia, and fatigue predicted earlier ED visits independent from clinical and demographic factors. Pain and fatigue predicted composite events. CONCLUSION: Insomnia severity and RARs independently predicted hospitalizations and ED visits independent of clinical and demographic variables. Further research is necessary to determine whether improving insomnia and strengthening RARs improves outcomes among people with HF. CLINICAL TRIALS REGISTRATION: NCT02660385.

An Evolutionary Concept Analysis in People With Heart Failure-Symptom Clusters or Symptom Cluster Profiles?

The concept of symptom clusters in heart failure (HF) has been defined and measured inconsistently. We used Rodgers' evolutionary method to review related concepts in the HF literature. Symptom clusters and symptom cluster profiles are characterized by multiple symptoms, a synergistic relationship, and result in a myriad of poor outcomes. Researchers should carefully consider the conceptual differences underpinning symptom clusters and symptom cluster profiles and choose the appropriate concept aligned with their research questions, empirical methods, and target HF population.