Physical Heart Failure Symptom Clusters Predictive of Delay in Seeking Treatment.

BACKGROUND: Recent research has focused on the relationship between heart failure (HF) symptom clusters and outcomes, including mortality, hospitalization, functional status, and quality of life. No known studies to date have explored the role of physical HF symptom clusters and delays in seeking treatment. OBJECTIVES: Describe physical symptom clusters in a population of HF patients and determine if a specific cluster is predictive of delay in seeking treatment for HF symptoms. METHOD: We analyzed combined data from two studies (n = 406) collected during acute HF hospitalization. The Heart Failure Somatic Awareness Scale quantified physical HF symptoms. Delay, measured in days, was collected from the medical record and confirmed by interview. Hierarchical agglomerative clustering techniques determined physical HF symptom clusters. Hierarchical multiple regression analysis was computed to explore predictors of delay. RESULTS: Participants were primarily White, male sex older adults. Three physical HF symptom clusters were identified: discordant, edema-related symptoms, and dyspnea-related symptoms. Hierarchical multiple regression analysis revealed in Step 1 that age was a significant predictor of delay. DISCUSSION: Our findings provide valuable insight into the role of physical symptom clusters on delay in persons with HF. Through agglomerative hierarchical clustering techniques, we found three physical HF symptom clusters that were then used to determine differences in cluster membership by demographic and clinical variables. Significant age differences were noted by cluster membership with youngest older adults in a discordant symptom cluster.

Psychometric Evaluation of the Heart Failure Somatic Perception Scale in a Middle Eastern Heart Failure Population.

BACKGROUND: The Heart Failure Somatic Perception Scale (HFSPS) is an 18-item instrument used to assess how bothersome are common signs and symptoms of heart failure (HF). To date, the psychometric properties of the HFSPS have been tested in American, Italian, and Japanese samples. OBJECTIVE: The aim of this study was to evaluate the validity and reliability of the HFSPS in a population of Lebanese patients living with HF. METHODS: A rigorous translation and back-translation process was performed. Cultural appropriateness ratings were assessed by an expert panel. Exploratory factor analysis was conducted to confirm construct validity, whereas an independent t test using the Minnesota Living With HF Questionnaire's scores was conducted to confirm convergent validity. Pearson correlation was performed to confirm discriminant validity using the Self-Care in HF Index Management subscale, whereas predictive validity was evaluated using the Control Attitudes Scale-Revised. Internal consistency reliability was evaluated using Cronbach α. RESULTS: A total of 109 patients (mean age, 63.66 ± 10.55 years; 69.7% male) were included. A series of exploratory factor analyses was conducted and resulted in a 4-factor model. Cronbach α was 0.869. Convergent (high correlation with total Minnesota Living With HF Questionnaire; r = 0.762, P < .0001), discriminant (no correlation with self-care management; r = 0.180, P = .078), and predictive (significant correlation with the Control Attitudes Scale-Revised; r = -0.523, P < .0001) validity was supported. CONCLUSION: The reliability and validity of the HFSPS were supportive in this Middle Eastern sample. The HFSPS can be used to assess how bothersome HF symptoms are to improve their management.

Cluster analysis of heart failure patients based on their psychological and physical symptoms and predictive analysis of cluster membership.

AIM: Patients with heart failure experience multiple co-occurring symptoms that lower their quality of life and increase hospitalization and mortality rates. So far, no heart failure symptom cluster study recruited patients from community settings or focused on symptoms predicting most clinical outcomes. Considering physical and psychological symptoms together allows understanding how they burden patients in different combinations. Moreover, studies predicting symptom cluster membership using variables other than symptoms are lacking. We aimed to (a) cluster heart failure patients based on physical and psychological symptoms and (b) predict symptom cluster membership using sociodemographic/clinical variables. DESIGN: Secondary analysis of MOTIVATE-HF trial, which recruited 510 heart failure patients from a hospital, an outpatient and a community setting in Italy. METHODS: Cluster analysis was performed based on the two scores of the Hospital Anxiety-Depression scale and two scores of the Heart-Failure Somatic Perception Scale predicting most clinical outcomes. ANOVA and chi-square test were used to compare patients' characteristics among clusters. For the predictive analysis, we split the data into a training set and a test set and trained three classification models on the former to predict patients' symptom cluster membership based on 11 clinical/sociodemographic variables. Permutation analysis investigated which variables best predicted cluster membership. RESULTS: Four clusters were identified based on the intensity and combination of psychological and physical symptoms: mixed distress (high psychological, low physical symptoms), high distress, low distress and moderate distress. Clinical and sociodemographic differences were found among clusters. NYHA-class (New York Heart Association) and sleep quality were the most important variables in predicting symptom cluster membership. CONCLUSIONS: These results can support the development of tailored symptom management intervention and the investigation of symptom clusters' effect on patient outcomes. The promising results of the predictive analysis suggest that such benefits may be obtained even when direct access to symptoms-related data is absent. IMPLICATIONS: These results may be particularly useful to clinicians, patients and researchers because they highlight the importance of addressing clusters of symptoms, instead of individual symptoms, to facilitate symptom detection and management. Knowing which variables best predict symptom cluster membership can allow to obtain such benefits even when direct access to symptoms-data is absent. IMPACT: Four clusters of heart failure patients characterized by different intensity and combination of psychological and physical symptoms were identified. NYHA class and sleep quality appeared important variables in predicting symptom cluster membership. REPORTING METHOD: The authors have adhered to the EQUATOR guidelines STROBE to report observational cross-sectional studies. PATIENT OR PUBLIC CONTRIBUTION: Patients were included only for collecting their data.

State of the Science: The Relevance of Symptoms in Cardiovascular Disease and Research: A Scientific Statement From the American Heart Association.

Symptoms of cardiovascular disease drive health care use and are a major contributor to quality of life. Symptoms are of fundamental significance not only to the diagnosis of cardiovascular disease and appraisal of response to medical therapy but also directly to patients' daily lives. The primary purpose of this scientific statement is to present the state of the science and relevance of symptoms associated with cardiovascular disease. Symptoms as patient-reported outcomes are reviewed in terms of the genesis, manifestation, and similarities or differences between diagnoses. Specifically, symptoms associated with acute coronary syndrome, heart failure, valvular disorders, stroke, rhythm disorders, and peripheral vascular disease are reviewed. Secondary aims include (1) describing symptom measurement methods in research and application in clinical practice and (2) describing the importance of cardiovascular disease symptoms in terms of clinical events and other patient-reported outcomes as applicable.

Predictors of Fertility-Awareness-Based Method Use Among Women Trying to Conceive and Women Contemplating Pregnancy.

BACKGROUND: Fertility-awareness-based methods have been linked to shorter time to conception; however, little is known about the predictors of fertility-awareness-based method use among women who are currently or will soon be trying to conceive. OBJECTIVES: The aim of this study was to identify predictors of fertility-awareness-based methods use among women trying to conceive or contemplating pregnancy within the next year. METHODS: Women participating in the Nurses' Health Study 3 were asked if they were trying to become pregnant or contemplating pregnancy and whether they are using fertility-awareness-based methods. Multivariable negative binomial regression was used to identify predictors for a number of fertility-awareness-based methods used. RESULTS: Among the 23,418 women asked about pregnancy intention since 2015, 955 were trying to conceive, and 2,282 were contemplating pregnancy within the next year. The three most used fertility-awareness-based methods among women trying to conceive were menstrual cycle tracking, ovulation prediction kits, and cervical mucus monitoring. Among women contemplating pregnancy, the three most commonly used methods were menstrual cycle tracking, cervical mucus monitoring, and basal body temperature monitoring. The ongoing duration of pregnancy attempts and gravidity were associated with the number of methods used among women actively trying to conceive. When compared with women who were trying for 2 months or less, the number of methods was 29% higher when trying for 3-5 months, 45% higher when trying for 6-12 months, and 38% higher when trying for more than 1 year. Compared with nulligravid women, the number of methods was lower for women with a history of two or more pregnancies. Among women contemplating pregnancy, those who were married or in a domestic partnership used more fertility-awareness-based methods than unpartnered women. No other significant predictors of fertility-awareness-based method use were identified. DISCUSSION: Duration of ongoing pregnancy attempt and gravidity were the only significant predictors for the number of fertility-awareness-based methods used among women actively trying to conceive, whereas partnership was the only significant predictor of the number of fertility-awareness-based methods among women contemplating pregnancy.

The Influence of Caregiver Contribution to Self-care on Symptom Burden in Patients With Heart Failure and the Mediating Role of Patient Self-care: A Longitudinal Mediation Analysis.

BACKGROUND: Patients with heart failure experience high symptom burden, which can be mitigated with adequate self-care. Caregiver contribution to self-care has been theorized to improve patient symptom burden. The mediating role of patient self-care in this relationship has not been tested yet. OBJECTIVES: The aim of this study was to test whether (a) caregiver contribution to self-care influences patient self-care, (b) patient self-care influences symptom burden, and (c) patient self-care mediates the relationship between caregiver contribution to self-care and symptom burden. METHODS: In this study, the authors conducted a secondary analysis of the baseline and 3-month data from the MOTIVATE-HF trial, which enrolled 510 dyads (patient with heart failure and caregiver) in Italy. Multigroup confirmatory factor analysis was used to test measurement invariance. Autoregressive longitudinal path analysis with contemporaneous mediation was used to test our hypotheses. RESULTS: On average, caregivers were 54 years old and mainly female, whereas patients were 72.4 years old and mainly male. Better caregiver contribution to self-care maintenance was associated with better patient self-care maintenance (ß = 0.280, P < .001), which, in turn, was associated with lower symptom burden (ß = -0.280, P < .001). Patient self-care maintenance mediated the effect of caregiver contribution to self-care maintenance on symptom burden (ß = -0.079; 95% bias-corrected bootstrapped confidence interval, -0.130 to -0.043). Better caregiver contribution to self-care management was associated with better patient self-care management (ß = 0.238, P = .006). The model significantly accounted for 37% of the total variance in symptom burden scores (P < .001). CONCLUSIONS: This study expands the situation-specific theory of caregiver contribution to heart failure self-care and provides new evidence on the role of caregiver contribution to self-care and patient self-care on symptom burden in heart failure.

Nurse Performance Metrics: A Scoping Review.

OBJECTIVE: The purposes of this scoping review are: 1) to identify instances in the literature that describe measuring individual nurse performance and 2) characterize those metrics. BACKGROUND: The impact of nurses on patient outcomes has been demonstrated at the unit or hospital level, with nurses measured in aggregate. There is an opportunity to evaluate individual nurse performance by creating metrics that capture it. METHODS: A scoping review based on the framework published by the Joanna Briggs Institute was performed. RESULTS: Researchers identified 12 articles. Three themes were trended: the emerging nature of these metrics in the literature, variability in their applications, and performance implications. CONCLUSIONS: Individual nurse performance metrics is an emerging body of research with variability in the types of metrics developed. There is an opportunity for future researchers to work with nurse leaders and staff nurses to optimize these metrics and to use them to support nursing practice and patient care.

Exploring Relationships Between State-Level LGBTQ Inclusivity and BRFSS Indicators of Mental Health and Risk Behaviors: A Secondary Analysis.

OBJECTIVES: Minority Stress Theory suggests that repeated exposure to enacted stigma adversely affects mental health. States have wide authority to enact policies affecting the level of inclusivity experienced by lesbian, gay, bisexual, transgender, and queer/questioning (LGBTQ) residents. The purpose of this study was to explore relationships between states' level of LGBTQ inclusivity and indicators of mental health/risk behaviors among an LGBTQ sample. METHODS: The 2018 Human Rights Campaign State Equality Index (SEI) and the 2018 Behavioral Risk Factor Surveillance Survey (BRFSS) were used to examine relationships between states' levels of LGBTQ inclusivity (predictor variable) and indicators of mental health/risk behaviors (outcome variables). Relationships were explored using descriptive statistics and survey-weighted logistic regression. RESULTS: Lower state inclusivity increased odds of fair/poor general health (adjusted odds ratio [AOR]: 1.22, 95% confidence interval [CI]: 1.01-1.48), increased odds of poor mental health days (AOR: 1.34, 95% CI: 1.11-1.62), increased odds of smoking (AOR: 1.62, 95% CI: 1.27-2.07), and increased odds of heavy drinking (AOR: 1.54, 95% CI: 1.26-1.86) and binge drinking (AOR: 1.23, 95% CI: 1.01-1.49). State inclusivity did not influence odds of a depressive disorder diagnosis or driving under the influence of alcohol. CONCLUSIONS: LGBTQ persons in restrictive states had increased odds of experiencing several indicators of mental health and risk behaviors. More research is needed to determine whether state policies affect other domains of LGBTQ persons' health. Health care providers should be mindful of LGBTQ persons' mental health/risk behaviors and the state policy environment, and should seek to implement mitigating health care strategies such as the use of validated assessment.

Persistent Heart Failure Symptoms at Hospital Discharge Predicts 30-Day Clinical Events.

BACKGROUND: The relationship between heart failure (HF) symptoms at hospital discharge and 30-day clinical events is unknown. Variability in HF symptom assessment may affect ability to predict readmission risk. OBJECTIVE: The aim of this study was to describe HF symptom profiles and burden at hospital discharge. A secondary aim was to examine the relationship between symptom burden at discharge and 30-day clinical events. METHODS: An exploratory descriptive design was used. Patients with HF (n = 186) were enrolled 24 to 48 hours pre hospital discharge. The HF Somatic Perception Scale quantified 18 HF physical signs and symptoms. Scores were divided into tertiles (0-10, 11-19, and 20 and higher). The Patient Health Questionnaire-9 quantified depressive symptoms. Self-assessed health, comorbid illnesses, and 30-day clinical events were documented. Chi-square and logistic regression were used to examine clinical events. RESULTS: The sample (n = 186) was predominantly White (87.6%), male (59.1%), elderly (mean [SD], 74.2 [12.5]), and symptomatic (92.5%) at discharge. Heart Failure Somatic Perception Scale scores ranged from 0 to 53, with a mean (SD) of 13.7 (10.1). Symptoms reported most frequently were fatigue (67%), nocturia (62%), need to rest (53%), and inability to do usual activities due to shortness of breath (52%). Thirty-day event rate was 28%, with significant differences between Heart Failure Somatic Perception Scale tertiles (9.4% vs 37.7% in the second and third tertiles, respectively; χ2(N = 186) = 16.73, P < .001). Heart Failure Somatic Perception Scale tertile 2 or 3 (odds ratio [OR], 5.7; P = .003; and OR, 4.3; P = .021), self-assessed health (OR, 2.6; P = .029), and being in a relationship predicted clinical events. CONCLUSIONS: Heart failure symptom burden at discharge predicted 30-day clinical events. Comprehensive symptom assessment is important when determining readmission risk.

Health-Related Quality of Life in Patients With a Left Ventricular Assist Device (QOLVAD) Questionnaire: Initial Psychometrics of a New Instrument.

BACKGROUND: Patients with a left ventricular assist device are a unique and growing population who deserve their own valid, reliable instrument for health-related quality of life. OBJECTIVE: We developed and tested the Health-Related Quality of Life with a Left Ventricular Assist Device (QOLVAD) questionnaire. METHODS: In a prospective, descriptive study, patients from 7 sites completed the QOLVAD and comparator questionnaires. Construct validity was tested using confirmatory factor analysis. Convergent validity was tested using correlations of QOLVAD scores to well-established measures of subjective health status, depression, anxiety, and meaning/faith. Reliability and test-retest reliability were quantified. RESULTS: Patients (n = 213) were 58.7 ± 13.9 years old; 81.0% were male, 73.7% were White, and 48.0% had bridge to transplant. Questionnaires were completed at a median time of 44 weeks post ventricular assist device. The 5 QOLVAD domains had acceptable construct validity (root mean square error of approximation = 0.064, comparative and Tucker-Lewis fit indices > 0.90, weighted root mean square residual = 0.95). The total score and domain-specific scores were significantly correlated with the instruments to which they were compared. Internal consistency reliability was acceptable for all subscales (α = .79-.83) except the cognitive domain (α = .66). Unidimensional reliability for the total score was acceptable (α = .93), as was factor determinacy for multidimensional reliability (0.95). Total test-retest reliability was 0.875 (P < .001). CONCLUSION: Our analysis provided initial support for validity and reliability of the QOLVAD for total score, physical, emotional, social, and meaning/spiritual domains. The QOLVAD has potential in research and clinical settings to guide decision making and referrals; further studies are needed.

Renin-Angiotensin Inhibition and Outcomes in Nursing Home Residents With Heart Failure.

BACKGROUND: Angiotensin-converting enzyme inhibitors or angiotensin receptor blockers (ACEIs-ARBs) improve outcomes in heart failure (HF). Less is known about this association in nursing home (NH) residents. METHODS: Of the 8024 hospitalized HF patients, 542 were NH residents, of whom 250 received ACEIs-ARBs. We assembled a propensity score-matched cohort of 157 pairs of NH residents receiving and not receiving ACEIs-ARBs balanced on 29 baseline characteristics (mean age, 83 years, 74% women, 17% African American), in which we estimated hazard ratios (HRs) and 95% confidence intervals (CIs) for outcomes associated with ACEI-ARB use. We then checked for interaction in a matched cohort of 5130 patients (378 were NH residents) assembled from the 8024 patients. RESULTS: Among 314 matched NH residents, HRs (95% CIs) for 30-day all-cause readmission, HF readmission, and all-cause mortality were 0.78 (0.47-1.28), 0.68 (0.29-1.60), and 1.26 (0.70-2.27), respectively. Respective HRs (95% CIs) at 1 year were 0.76 (0.56-1.02), 0.68 (0.42-1.09), and 1.04 (0.78-1.38). Among 5130 matched patients, ACEI-ARB use was associated with a significantly lower risk of all outcomes at both times, with no significant interactions, except for 1-year mortality, which was only significant in the non-NH subgroup (P for interaction, 0.026). CONCLUSIONS: We found no evidence that the use of ACEIs or ARBs is associated with improved outcomes in patients with HF in the NH setting. However, we also found no evidence that this association is different in NH residents with HF versus non-NH patients with HF. Future larger studies are needed to demonstrate effectiveness of these drugs in the NH setting.

Heart Failure Symptom Biology in Response to Ventricular Assist Device Implantation.

BACKGROUND: We have a limited understanding of the biological underpinnings of symptoms in heart failure (HF), particularly in response to left ventricular assist device (LVAD) implantation. OBJECTIVE: The aim of this study was to quantify the degree to which symptoms and biomarkers change in parallel from before implantation through the first 6 months after LVAD implantation in advanced HF. METHODS: This was a prospective cohort study of 101 patients receiving an LVAD for the management of advanced HF. Data on symptoms (dyspnea, early and subtle symptoms [HF Somatic Perception Scale], pain severity [Brief Pain Inventory], wake disturbance [Epworth Sleepiness Scale], depression [Patient Health Questionnaire], and anxiety [Brief Symptom Inventory]) and peripheral biomarkers of myocardial stretch, systemic inflammation, and hypervolumetric mechanical stress were measured before implantation with a commercially available LVAD and again at 30, 90, and 180 days after LVAD implantation. Latent growth curve and parallel process modeling were used to describe changes in symptoms and biomarkers and the degree to which they change in parallel in response to LVAD implantation. RESULTS: In response to LVAD implantation, changes in myocardial stretch were closely associated with changes in early and subtle physical symptoms as well as depression, and changes in hypervolumetric stress were closely associated with changes in pain severity and wake disturbances. Changes in systemic inflammation were not closely associated with changes in physical or affective symptoms in response to LVAD implantation. CONCLUSIONS: These findings provide new insights into the many ways in which symptoms and biomarkers provide concordant or discordant information about LVAD response.

Phenotype of Same-Day-Discharge Patients After Percutaneous Coronary Intervention.

BACKGROUND: Overnight observation is the standard of care for uncomplicated elective percutaneous coronary intervention (PCI). However, same-day discharge (SDD) is reportedly safe using predetermined criteria and patient risk categories. Characteristics of patients with SDD have not yet been described. OBJECTIVE: The purpose of this study was to describe the phenotype of patients appropriate for SDD after PCI without predetermined criteria and patient risk categories. METHODS: Analysis of PCI registry data was conducted on patients (n = 2174) who underwent elective and nonelective PCI between January 2012 and June 2014. Preliminary analysis included descriptive statistics, t tests, and χ tests. All variables were analyzed using random forest plot to determine importance of predictors of SDD followed by confirmatory logistic regression. RESULTS: Random forest plot indicated 6 predictors of SDD. Confirmatory logistic regression using a model with all 6 predictors indicated that the model was able to distinguish between patients with SDD and overnight observation after PCI and was statistically significant (χ(7.12, N = 2174) = 511.12, P < .005). Strongest predictors of SDD were stable angina (odds ratio, 5.93 [95% confidence interval, 1.316-26.712]; P = .020) followed by non-ST elevation myocardial infarction/high-risk unstable angina (odds ratio, 1.66 [95% confidence interval, 1.239-2.225]; P = .001). Readmission within 24 hours of SDD after PCI was low at 0.91%. CONCLUSIONS: Age, access site, complexity, and number of lesions stented did not preclude SDD. A broader range of patients, particularly patients in higher risk categories (non-ST elevation myocardial infarction and unstable angina), are candidates for SDD.

Psychometric Analysis of the Heart Failure Somatic Perception Scale as a Measure of Patient Symptom Perception.

BACKGROUND: Symptoms are known to predict survival among patients with heart failure (HF), but discrepancies exist between patients' and health providers' perceptions of HF symptom burden. OBJECTIVE: The purpose of this study is to quantify the internal consistency, validity, and prognostic value of patient perception of a broad range of HF symptoms using an HF-specific physical symptom measure, the 18-item HF Somatic Perception Scale v. 3. METHODS: Factor analysis of the HF Somatic Perception Scale was conducted in a convenience sample of 378 patients with chronic HF. Convergent validity was examined using the Physical Limitation subscale of the Kansas City Cardiomyopathy Questionnaire. Divergent validity was examined using the Self-care of HF Index self-care management score. One-year survival based on HF Somatic Perception Scale scores was quantified using Cox regression controlling for Seattle HF Model scores to account for clinical status, therapeutics, and lab values. RESULTS: The sample was 63% male, 85% white, 67% functionally compromised (New York Heart Association class III-IV) with a mean (SD) age of 63 (12.8) years. Internal consistency of the HF Somatic Perception Scale was α = .90. Convergent (r = -0.54, P < .0001) and divergent (r = 0.18, P > .05) validities were supported. Controlling for Seattle HF scores, HF Somatic Perception Scale was a significant predictor of 1-year survival, with those most symptomatic having worse survival (hazard ratio, 1.012; 95% confidence interval, 1.001-1.024; P = .038). CONCLUSIONS: Perception of HF symptom burden as measured by the HF Somatic Perception Scale is a significant predictor of survival, contributing additional prognostic value over and above objective Seattle HF Risk Model scores. This analysis suggests that assessment of a broad range of HF symptoms, or those related to dyspnea or early and subtle symptoms, may be useful in evaluating therapeutic outcomes and predicting event-free survival.

Predictors of delay in heart failure patients and consequences for outcomes.

Persons with heart failure (HF) symptoms delay up to 7 days before seeking treatment. Delay can result in worse symptoms and potentially impact outcomes. The purpose of this review was to describe predictors and outcomes of delay in HF patients. Demographic factors, increased symptom number, social factors, greater HF knowledge, lower anxiety, and depression predicted increased delay. HF patients had difficulty recognizing and interpreting symptoms of HF. Results are conflicting related to symptom pattern, time of care seeking, and history of HF as predictors of delay. The only outcome predicted by delay was length of stay with those delaying longer reporting longer lengths of stay. Future research related to delay should include theoretical frameworks and larger, more ethnically diverse samples from multiple sites and link delay to outcomes. Valid and reliable instruments are needed to measure delay and related factors. HF education should include supportive others.

Physical and psychological symptom profiling and event-free survival in adults with moderate to advanced heart failure.

UNLABELLED: : Heart failure (HF) is a heterogeneous symptomatic disorder. The goal of this study was to identify and link common profiles of physical and psychological symptoms to 1-year event-free survival in adults with moderate to advanced HF. METHODS: Multiple valid, reliable, and domain-specific measures were used to assess physical and psychological symptoms. Latent class mixture modeling was used to identify distinct symptom profiles. Associations between observed symptom profiles and 1-year event-free survival were quantified using Cox proportional hazards modeling. RESULTS: The mean age of the participants (n = 202) was 57 ± 13 years, 50% were men, and 60% had class III/IV HF. Three distinct profiles, mild (41.7%), moderate (30.2%), and severe (28.1%), that captured a gradient of both physical and psychological symptom burden were identified (P < .001 for all comparisons). Controlling for the Seattle HF Score, adults with the moderate symptom profile were 82% more likely (hazard ratio, 1.82; 95% confidence interval, 1.07-3.11; P = .028) and adults with the severe symptom profile were more than twice as likely (hazard ratio, 2.06; 95% confidence interval, 1.21-3.52; P = .001) to have a clinical event within 1 year than patients with the mild symptom profile. CONCLUSIONS: Profiling patterns among physical and psychological symptoms identifies HF patient subgroups with significantly worse 1-year event-free survival independent of prognostication based on objective clinical HF data.

Self-care trajectories of patients with coronary heart disease: a longitudinal, observational study.

AIMS: To determine if distinct trajectories of coronary heart disease (CHD) self-care behaviours could be identified, linked to differences in quality of life (QoL), and predicted based on baseline characteristics. METHODS AND RESULTS: A secondary analysis of a prospective, longitudinal, observational study. Patients with CHD answered questionnaires at study enrolment and six months later: Self-Care of Coronary Heart Disease Inventory (three subscales: maintenance, management and confidence, scored 0-100, higher score = better self-care), Hospital Anxiety and Depression Scale, 12-Item Short Form Survey, 16-Item European Health Literacy Survey Questionnaire, CHD Education Questionnaire. Latent growth mixture modelling was used to identify distinct self-care trajectories over time.On average, patients (n = 430, mean age 64.3 ± 8.9, 79% male) reported inadequate self-care (maintenance 61.6 ± 15.4, management 53.5 ± 18.5) at enrolment. Two distinct trajectories of self-care behaviours were identified: First, an "inadequate-and-worsening" (IN-WORSE) trajectory (57.2%), characterised by inadequate self-care, improvement in maintenance (4.0 ± 14.5-point improvement, p < 0.001) and worsening of management over time (6.3 ± 24.4-point worsening, p = 0.005). Second, an "inadequate-but-maintaining" (IN-MAIN) trajectory (42.8%), characterised by inadequate self-care, improvement in maintenance (5.0 ± 16.2-point improvement, p < 0.001) and stability in management over time (0.8 ± 21.9-point worsening, p = 0.713). In comparison, patients in the IN-WORSE trajectory had less favourable characteristics (including lower health literacy, knowledge, confidence) and significantly lower QoL. Not attending rehabilitation (OR 2.175; CI 1.020-4.637, p = 0.044) and older age (OR 0.959; CI 0.924-0.994, p = 0.024) predicted (IN-WORSE) trajectory inclusion. CONCLUSION: Two self-care trajectories were identified, both suboptimal. Rehabilitation predicted membership in the more favorable trajectory and some positive characteristics were identified among patients in that group. Therefore, interventions supporting these factors may benefit patients' self-care and QoL.

Body listening in the link between symptoms and self-care management in cardiovascular disease: A cross-sectional correlational descriptive study.

OBJECTIVE: The aim of this study was to quantify relationships among symptoms, interoceptive sensibility (i.e. the conscious level of sensing, interpreting and integrating signals from the body), and self-care management behaviors (i.e. the response to symptoms when they occur) among adults with cardiovascular disease. We hypothesized that better interoceptive sensibility would increase the positive behavior-driving effects of symptoms on self-care management. METHODS: Adult patients with cardiovascular disease who experienced recent symptoms were recruited to participate in this cross-sectional correlational descriptive study. Patient-Reported Outcomes Measurement Information System measures were used to capture dyspnea, pain interference, fatigue, sleep disturbances, nausea and vomiting, anxiety and depressive symptoms. Interoceptive sensibility was measured using the Multidimensional Assessment of Interoceptive Awareness Version 2. The Self-Care of Chronic Illness Inventory was used to measure self-care management. Network analysis was used to identify domains of interoceptive sensibility that were most central. Linear regression with interaction terms was used to test the moderating effect of interoceptive sensibility on the relationship between symptoms and self-care management. RESULTS: The age of participants in the sample (n = 387) ranged from 18 to 88 years, a slight majority (53.5 %) were female, and a majority were Caucasian (66.4 %) or African American (32.0 %). Hypertension was the most common disorder (n = 238 (61.5 %)), followed by rhythm disorders (n = 124 (32.0 %)), coronary artery disease (n = 94 (24.3 %)), heart failure (n = 89 (23.0 %)), valve disease (n = 69 (17.8 %)), stroke (n = 62 (16.0 %)) and peripheral vascular disease (n = 49 (12.7 %)). Based on network analysis, body listening (i.e. active listening to the body for insights) was the most central interoceptive domain, and distracting (i.e. tendency to ignore or distract oneself from sensations of discomfort) was the least central. Noticing (i.e. greater awareness of body sensations), distracting, and body listening were significant in moderating relationships between dyspnea, sleep disturbances and anxiety and the outcome of self-care management behaviors (all p < 0.001). Better noticing and body listening were associated with better self-care management across symptoms, whereas ignoring or distracting oneself from discomfort was associated with worse self-care management behaviors. CONCLUSION: Among adults with cardiovascular disease, interventions designed to augment the identified interoceptive sensibility domains like body listening, and mitigate the tendency to ignore or distract oneself from discomfort may support adults with cardiovascular disease through the development of future interventions that optimize patient behaviors in response to symptoms when they occur.

Sympathetic dysfunction is associated with worse fatigue and early and subtle symptoms in heart failure: an exploratory sex-stratified analysis.

AIMS: Physical symptoms impact patients with heart failure (HF) despite treatment advancements; however, our understanding of the pathogenic mechanisms underlying HF symptoms remains limited, including sex differences therein. The objective of this study was to quantify associations between sympathetic markers [norepinephrine (NE) and 3,4-dihydroxyphenylglycol (DHPG)] and physical symptoms in patients with HF and to explore sex differences in these associations. METHODS AND RESULTS: We performed a secondary analysis of combined data from two studies: outpatients with HF (n = 111), and patients prior to left ventricular assist device implantation (n = 38). Physical symptoms were measured with the Heart Failure Somatic Perception Scale (HFSPS) dyspnoea and early/subtle symptom subscales and the Functional Assessment in Chronic Illness Therapy Fatigue Scale (FACIT-F) to capture dyspnoea, early symptoms of decompensation, and fatigue. Norepinephrine and DHPG were measured with high-performance liquid chromatography with electrochemical detection. Multivariate linear regression was used to quantify associations between symptoms and sympathetic markers. The sample (n = 149) was 60.8 ± 15.7 years, 41% women, and 71% non-ischaemic aetiology. Increased plasma NE and NE:DHPG ratio were associated with worse FACIT-F scores (P = 0.043 and P = 0.013, respectively). Increased plasma NE:DHPG ratio was associated with worse HFSPS early/subtle symptoms (P = 0.025). In sex-stratified analyses, increased NE:DHPG ratio was associated with worse FACIT-F scores (P = 0.011) and HFSPS early/subtle scores (P = 0.022) among women but not men. CONCLUSION: In patients with HF, sympathetic dysfunction is associated with worse fatigue and early/subtle physical symptoms with associations stronger in women than men.