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

Characteristics and predictors of persistent somatic symptoms in patients with cardiac disease

Persistent somatic symptoms (PSS) are a diagnostic core criterion of the somatic symptom disorder. This longitudinal study aims to determine the frequency of PSS in patients with cardiac disease, identify potential predictive factors, and investigate its impact on healthcare utilization. Somatic symptoms were assessed with the Somatic Symptom Scale-8 four times over the course of three months in consecutively approached cardiac outpatients. Patients were grouped having PSS vs. not having PSS following a psychometric-driven approach based on the SSS-8 cut-off score and a data-driven approach applying cluster analysis. T-tests were performed to compare the characteristics between patients having vs. not having PSS. To identify predictors of group affiliation, we conducted multivariable logistic regressions. Additionally, analyses of covariance were used to further examine associations between healthcare utilization and group affiliation. The study included 95 patients (30.5% female) with a mean age of 60.5 years (SD = 8.7). All patients had at least one of the following cardiac diseases recorded in their medical history: coronary heart disease (n = 51), myocardial infarction (n = 21), valve disease (n = 22), cardiomyopathy (n = 15), cardiac dysrhythmia (n = 43), and heart failure (n = 12). 30 (32%) were grouped having PSS according to the psychometric-driven approach and 27 (28%) according to the data-driven approach. For both approaches, patients with PSS were more likely to be female, unemployed, reporting angina pectoris, having higher depression, and higher anxiety severity (for all: p ≤ 0.05). Predictors of PSS group affiliation were female gender, higher age, depression severity, and angina pectoris (for all: p ≤ 0.015). Patients with PSS more frequently visited general practitioners and cardiologists compared to patients without PSS (p ≤ 0.013). Enhancing our knowledge of PSS in patients with cardiac disease could help to improve identification of patients' specific needs and the factors to consider in diagnosis and individualized treatment.

Somatic symptom disorder symptoms in individuals at risk for heart failure: A cluster analysis with cross-sectional data from a population-based cohort study

OBJECTIVE

Identifying whether experienced symptom burden in individuals with medical predisposition indicates somatic symptom disorder (SSD) is challenging, given the high overlap in the phenomenology of symptoms within this group. This study aimed to enhance understanding SSD in individuals at risk for heart failure.

SUBJECTS AND METHODS

Cross-sectional data from the Hamburg City Health Study was analyzed including randomly selected individuals from the general population of Hamburg, Germany recruited from February 2016 to November 2018. SSD symptoms assessed with the Somatic Symptom Scale-8 and the Somatic Symptom Disorder-12 scale were categorized by applying cluster analysis including 412 individuals having at least 5% risk for heart failure-related hospitalization within the next ten years. Clusters were compared for biomedical and psychological factors using ANOVA and chi-square tests. Linear regressions, adjusting for sociodemographic, biomedical, and psychological factors, explored associations between clusters with general practitioner visits and quality of life.

RESULTS

Three clusters emerged: none (n = 215; 43% female), moderate (n = 151; 48% female), and severe (n = 46; 54% female) SSD symptom burden. The SSS-8 mean sum scores were 3.4 (SD = 2.7) for no, 6.4 (SD = 3.4) for moderate, and 12.4 (SD = 3.7) for severe SSD symptom burden. The SSD-12 mean sum scores were 3.1 (SD = 2.6) for no, 12.2 (SD = 4.2) for moderate, and 23.5 (SD = 6.7) for severe SSD symptom burden. Higher SSD symptom burden correlated with biomedical factors (having diabetes: p = .005 and dyspnea: p ≤ .001) and increased psychological burden (depression severity: p ≤ .001; anxiety severity: p ≤ .001), irrespective of heart failure risk (p = .202). Increased SSD symptoms were associated with more general practitioner visits (β = 0.172; p = .002) and decreased physical quality of life (β = -0.417; p ≤ .001).

CONCLUSION

Biomedical factors appear relevant in characterizing individuals at risk for heart failure, while psychological factors affect SSD symptom experience. Understanding SSD symptom diversity and addressing subgroup needs could prove beneficial.

Psychometric Analysis of the Heart Failure Somatic Perception Scale in Japanese Patients With Heart Failure

BACKGROUND

Patients with heart failure (HF) experience a wide variety of symptoms. Appropriate recognition of symptoms is important in HF care. The Heart Failure Somatic Perception Scale (HFSPS) measures the presence of HF symptoms and the degree to which physical symptoms are bothersome.

OBJECTIVE

The aim of this study was to assess the validity and reliability of the Japanese version of the HFSPS.

METHODS

Confirmatory factor analysis was used to assess structural validity. Construct validity was assessed using Spearman's rank correlation coefficient to evaluate the association between HFSPS total and subscale scores and global physical health on the Patient-Reported Outcomes Measurement Information System. Internal consistency was assessed using the model-based internal consistency for the HFSPS as a whole and Cronbach α for the subscales.

RESULTS

Participants were 315 Japanese outpatients (72.1% male), with a mean age of 72.9 ± 12.9 years. The result of confirmatory factor analysis was an adequate model fit by adding error correlations. Construct validity was significant for the correlation with global physical health of the Patient-Reported Outcomes Measurement Information System. The model-based internal consistency was 0.95. Cronbach αs for each subscale were 0.88 for dyspnea, 0.60 for chest discomfort, 0.77 for early and subtle symptoms, and 0.77 for edema.

CONCLUSIONS

The findings support the use of the HFSPS in a more diverse population, suggesting that it is a reliable and valid instrument in Japanese patients with HF. The HFSPS may provide an accurate assessment of the symptoms experienced by patients with HF in daily life in future educational intervention studies to improve symptom perception and coping behaviors.

Are Physical and Depressive Symptoms Different Between Women and Men With Heart Failure?: An Exploration Using Two Analytic Techniques

BACKGROUND

Adults with heart failure (HF) experience a constellation of symptoms; however, understanding of gender differences in HF symptoms remain elusive. The aim of this study was to determine whether there are gender differences in physical and depressive symptoms and symptom patterns in HF using 2 different analytic techniques.

METHODS

We performed a secondary analysis of combined data from 6 studies of adults with HF. Physical symptoms were measured with the HF Somatic Perception Scale, and depressive symptoms were measured with the Patient Health Questionnaire-9. First, we performed propensity matching with the nearest neighbor to examine the average treatment effect for HF Somatic Perception Scale and Patient Health Questionnaire-9 in the matched sample of women and men. Next, we used the entire data set in a latent class mixture model to determine patterns of symptoms. Finally, we calculated predictors of class membership with multinomial logistic regression.

RESULTS

The sample (n = 524, 86.5% systolic HF) was 37% women with a mean age of 58.3 ± 13.9 years and mean number of years with HF of 6.9 ± 6.9. Three hundred sixty-six participants were matched on propensity scores; there were no significant gender differences in symptom scores between matched women (n = 183) and men (n = 183). Among all 524 participants, 4 distinct latent classes of symptom patterns indicate that many patients with HF are fatigued, some have more depressive symptoms, and others have significantly more edema or cough. Gender did not predict membership to any symptom pattern.

CONCLUSIONS

There were significant gender differences in sociodemographics, health behaviors, and clinical characteristics, but not HF symptoms or symptom patterns, using either analytic technique.

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.

Chapter 1: The Burden of Heart Failure

Heart failure (HF) affects an estimated 6 million American adults, and the prevalence continues to increase, driven in part by the aging of the population and by increases in the prevalence of diabetes. In recent decades, improvements in the survival of patients with HF have resulted in a growing number of individuals living longer with HF. HF and its comorbidities are associated with substantial impairments in physical functioning, emotional well-being, and quality of life, and also with markedly increased rates of morbidity and mortality. As a result, the management of patients with HF has a substantial economic impact on the health care system, with most costs arising from hospitalization. Clinicians have an important role in helping to reduce the burden of HF through timely diagnosis of HF as well as increasing access to effective treatments to minimize symptoms, delay progression, and reduce hospital admissions. Prevention and early diagnosis of HF will play a fundamental role in efforts to reduce the large and growing burden of HF. Recent advances in pharmacotherapies for HF have the potential to radically change the management of HF, offering the possibility of improved survival and quality of life for patients.

Spanish version of the Heart Failure Somatic Perception Scale (HFSPS v.3) - psychometric properties

Background

The Heart Failure Somatic Perception Scale (HFSPS) is an instrument that examine the existence and gravity of physical signs and symptoms in patients with heart failure, as well as early and subtle symptoms of HF that have clinical value, we aimed to translate and adapt the HFSPS from English to Spanish and evaluate the psychometric properties.

Method

HFSPS translation and back translation were carried out according to the method established by of Beaton et al. A confirmatory factor analysis (CFA) was performed to test the factor structures. To assess criterion-related validity, HFSPS factor scores were correlated with Kansas City Cardiomyopathy Questionnaire (KCCQ) scores using the Spearman correlation method. The reliability of the internal consistency of the HFSPS was determined by calculating the Cronbach's alpha coefficient and the factor score determination coefficient.

Results

Data from 173 patients with a mean age of 80.7 years (SD 9.1), women (51.1%), were analyzed. The majority (74.7%) were NYHA class II/III. The confirmatory factor analysis of four factors after eliminating one item showed fit indices close to the recommended indices: χ2 = 169.237, p < 0.001, CFI = 0.920, TLI = 0.901, RMSEA = 0.057 and SRMR = 0.061. Regarding the validity related to the criterion, all the scores of the HFSPS dimensions were correlated with all the scores of the KCCQ dimensions and were statistically significant. The reliability of the HFSPS factors of the coefficient of determination obtained scores of 0.73 for the dyspnea factor and early and subtle and lower for edema and chest discomfort with fewer items. Cronbach's alpha was acceptable for three of the scales >0.71 and poor 0.52 for chest discomfort with two items. The internal consistency index based on the model was 0.850.

Conclusion

The Spanish version of the HFSPS is a valid and reliable instrument that that would be feasible to use in clinical and research setting to evaluate in the perception of symptoms in patients with heart failure.

Mismatch identified in symptom burden profiles in lung transplantation

BACKGROUND

There is considerable heterogeneity in symptom burden among lung transplant candidates that may not be explained by objective measures of illness severity.

OBJECTIVES

This study aimed to characterize symptom burden, identify distinct profiles based on symptom burden and illness severity, and determine whether observed profiles are defined by differences in social determinates of health (SDOH).

METHODS

This was a prospective study of adult lung transplant candidates. Symptoms were assessed within 3 months of transplant with the Memorial Symptom Assessment Scale (MSAS). MSAS subscale (physical and psychological) scores range 0-4 (higher=more symptom burden). The lung allocation score (LAS) (range 0-100) was our proxy measure of illness severity. The MSAS subscales and LAS were used as continuous indicators in a latent profile analysis to identify distinct symptom-illness severity profiles. Comparative statistics were used to identify SDOH differences among observed profiles.

RESULTS

Among 93 candidates, 3 distinct symptom-illness severity profiles were identified: 71% had a mild profile in which mild symptoms (MSAS physical 0.49; MSAS psychological 0.57) paired with mild illness severity (LAS 38.59). Of the 29% mismatched participants, 9% had moderate symptoms (MSAS physical 0.88; MSAS psychological 1.47) but severe illness severity (LAS 88.02) and 20% had severe symptoms (MSAS physical 1.30; MSAS psychological 1.94) but mild illness severity (LAS 42.13). The two mismatch profiles were younger, more racially diverse, and had higher psychosocial risk scores.

CONCLUSION

Symptom burden is heterogenous, does not always reflect objective measures of illness severity, and may be linked to SDOH.

The association between physical symptoms and self-care behaviours in heart failure patients with inadequate self-care behaviours: a cross-sectional study

BACKGROUND

Patients with heart failure frequently report inadequate self-care behaviours. Physical symptoms can impact patients' ability to perform self-care behaviours. However, studies investigating the association between physical symptoms and heart failure self-care behaviours have produced inconsistent findings, potentially due to variations in the determinants of self-care behaviours among patients with differing levels of self-care proficiency. Understanding the association between physical symptoms and self-care behaviours in heart failure patients with inadequate self-care behaviours could improve care for this subpopulation. The study aimed to explore the association between physical symptoms and self-care behaviours in Chinese heart failure patients with inadequate self-care behaviours.

METHODS

This analysis was based on primary data from a cross-sectional study that aimed to investigate factors associated with self-care in heart failure patients. Physical symptoms were measured using the Heart Failure Somatic Perception Scale. Self-care behaviours (i.e., self-care maintenance and management) of heart failure were measured using the Self-Care of Heart Failure Index (version 6.2). Patients who reported scores < 70 on both self-care maintenance and management behaviours were eligible and included in the analysis. Hierarchical regression analysis was performed to explore the association between physical symptoms and self-care behaviours.

RESULTS

A total of 189 patients were included in the analysis, with a mean age of 65 years and a median duration of living with heart failure of 24 months. Most participants were classified as New York Heart Association class III or IV. Dyspnoea symptoms were the most frequently reported physical symptoms. The results of the hierarchical regression analysis showed that the severity of physical symptoms was positively associated with self-care management behaviours (β = 0.157, 95% CI: 0.010, 0.368, p = 0.039) but not significantly associated with self-care maintenance behaviours (β = -0.133, 95% CI: -0.316, 0.026, p = 0.097).

CONCLUSIONS

Based on the data collected in Changsha, China, we found that patients with HF with poor self-care experienced more dyspnoea symptoms. Severe HF physical symptoms might serve as drivers for better self-care management in patients with inadequate self-care behaviours. Effective care and support should be provided when physical symptoms worsen to facilitate patients' engagement in self-care behaviour in this subpopulation.

Survival analysis 101: an easy start guide to analysing time-to-event data

Survival analysis, also called time-to-event analysis, is a common approach to handling event data in cardiovascular nursing and health-related research. Survival analysis is used to describe, explain, and/or predict the occurrence and timing of events. There is a specific language used and methods designed to handle the unique nature of event data. In this methods paper, we provide an 'easy start guide' to using survival analysis by (i) providing a step-by-step guide and (ii) applying the steps with example data. Specifically, we analyse cardiovascular event data over 6 months in a sample of patients with heart failure.

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.

Taking Care of Us© (TCU) study protocol: feasibility and acceptability of a dyadic intervention for couples living with heart failure

BACKGROUND

There are more than 1 million hospital admissions and 3 million emergency visits for heart failure in the USA annually. Although spouse/partners make substantial contributions to the management of heart failure and experience poor health and high levels of care strain, they are rarely the focus of heart failure interventions. This protocol describes a pilot randomized controlled trial that tests the feasibility, acceptability, and preliminary change in outcomes of a seven-session couple-based intervention called Taking Care of Us© (TCU). The TCU© intervention is grounded in the theory of dyadic illness management and was developed to promote collaborative illness management and better physical and mental health of adults with heart failure and their partners.

METHODS

A two-arm randomized controlled trial will be conducted. Eligible adults with heart failure and their co-residing spouse/partner will be recruited from a clinical site in the USA and community/social media outreach and randomized to either the TCU© intervention or to a control condition (SUPPORT©) that offers education around heart failure management. The target sample is 60 couples (30 per arm). TCU© couples will receive seven sessions over 2 months via Zoom; SUPPORT© couples will receive three sessions over 2 months via Zoom. All participants will complete self-report measures at baseline (T1), post-treatment (T2), and 3 months post-treatment (T3). Acceptability and feasibility of the intervention will be examined using both closed-ended and open-ended questions as well as enrollment, retention, completion, and satisfaction metrics. Preliminary exploration of change in outcomes of TCU© on dyadic health, dyadic appraisal, and collaborative management will also be conducted.

DISCUSSION

Theoretically driven, evidence-based dyadic interventions are needed to optimize the health of both members of the couple living with heart failure. Results from this study will provide important information about recruitment and retention and benefits and drawbacks of the TCU© program to directly inform any needed refinements of the program and decision to move to a main trial.

TRIAL REGISTRATION

ClinicalTrials.gov (NCT04737759) registered on 27 January 2021.

Symptom Classes in Decompensated Liver Disease

BACKGROUND & AIMS

Patients with decompensated liver disease have been categorized by disease severity. This analysis sought to classify patients with end-stage liver disease based on symptoms rather than disease state and to identify distinct severity classes of physical and psychological symptoms.

METHODS

Patients with a model for end-stage liver disease-sodium score of 15 or higher were recruited from liver clinics in 2 health care organizations. They completed the Condensed Memorial Symptom Assessment Scale, Revised Ways of Coping Checklist, Patient Health Questionnaire, Life Orientation Test-Revised, and the Short-Form Health Survey. Cross-sectional data were analyzed using latent class mixture modeling.

RESULTS

The sample (N = 191; age, 56.6 ± 11.1 y; 33.5% ETOH; 28.3% nonalcoholic fatty liver disease; 13.1% autoimmune/primary biliary cholangitis/primary sclerosing cholangitis) was predominantly male (64.2%), Child-Turcotte-Pugh class C (49.5%), with an average model for end-stage liver disease-sodium score of 18.7 ± 4.9. Three distinct classes of symptoms were identified, as follows: mild (26.7%), moderate (41.4%), or severe (31.9%) symptoms. Symptom classes were independent of disease severity and demographic characteristics, except age. All Condensed Memorial Symptom Assessment Scale symptoms and Patient Health Questionnaire scores were significantly different across the 3 classes (P < .05). The symptom classes also differed significantly in physical and mental quality of life, optimism, and avoidance coping behaviors (all P < .001).

CONCLUSIONS

Patient-reported symptom severity occurred independent of disease severity, contrary to common assumptions. Focusing on the moderate and severe symptom classes as well as patient history of end-stage liver disease complications may enhance providers' ability to improve symptom management for this population.

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.

The prognostic impact of symptom clusters in patients with heart failure: A systematic review and meta-analysis

AIM

To determine the impact of symptom clusters on clinical outcomes among heart failure patients.

DESIGN

Systematic review and meta-analysis.

DATA SOURCES

Peer-reviewed articles were searched from 12 English and Chinese language databases from inception to August 2021.

REVIEW METHODS

Narrative syntheses were first conducted to integrate symptom clusters reported in the identified studies. This was followed by meta-analysis to synthesize the evidence on the association or predictive effects of symptom clusters on clinical outcomes.

RESULTS

Twelve studies were identified. Among studies which identified highly correlated symptoms as in a cluster, meta-analysis indicated that severe congestive (r = .45, 95% CI = 0.38-0.52), weary (r = .41, 95% CI = 0.33-0.50), ischaemic (r = .29, 95% CI = 0.04-0.51) and stress-related (r = .62, 95% CI = 0.31-0.81) symptom clusters were correlated with a poorer health-related quality of life. As for studies used latent class to identified patient cohorts of similar symptom pattern, high symptom cohorts (hazard ratio = 1.86, 95% CI = 1.39-2.48) and incongruent physical and psycho-cognitive symptom cohorts was associated with a significantly higher risk (hazard ratio = 2.10, 95% CI = 1.44-3.07) of combined event rate relative to low symptom presentation.

CONCLUSIONS

This review has identified the impact of symptom clusters on clinical outcomes in heart failure patients. In addition to the classical physical symptoms highlighted in the clinical management guidelines, our findings suggested the important predictive role of psycho-cognitive and weary symptoms in determining the clinical outcomes of HF patients.

IMPACT

This review concluded the promising prospect of symptom clusters in shaping clinical outcomes of heart failure. The findings highlighted the importance of integrating care to minimize the disease impact on psycho-cognitive function and weary symptoms among this clinical cohort. The review also inform the direction on how to advance the knowledge on symptom clusters among this clinical cohort.

SYMptoms in chronic heart failure imPACT on burden of treatment (SYMPACT): a cross-sectional survey

Aims

This study aimed to describe patient‐reported symptoms and burden of treatment (BoT) experienced by patients with chronic heart failure (CHF). BoT describes the illness workload, individual capacity to perform that work, and resultant impact on the individual. Overwhelming BoT is related to poor quality of life and worse clinical outcomes. This research is the first to explore symptoms and BoT in people with CHF, in the UK.

Methods and results

This is a cross‐sectional questionnaire survey of CHF patients. Participants completed the Heart Failure Symptom Survey (HFSS; max score 10) and the Minnesota Living with Heart Failure Questionnaire (MLHFQ; max scores: physical 40, emotional 25, and total 105), which measured symptoms. BoT was measured with the Patient Experience with Treatment and Self‐management (PETS; max score 100) questionnaires. Participant characteristics and questionnaire results were summarized using descriptive statistics. Relationships between symptoms and BoT, summarized by the workload and impact indices, were explored using Spearman's and Pearson's correlation coefficients together with scatter plots. The survey was completed by 333 participants, mean age of 71 (±13) years old. The majority (89%) were recruited from secondary care NHS trusts, and 25% were female. All types of heart failure were represented. Mean symptom scores were as follows: HFSS burden score: 2.4 (±2.1), and MLHFQ scores: physical score 20 (±12.4), emotional score 9.9 (±8.1), and total score 41.3 (±26.3). The highest mean PETS domain scores were exercise [51.3 (±24.7)], diet [40.3 (±22.7)], difficulty with healthcare services [39.9 (±21.3)], and physical and mental fatigue [36.0 (±25.7)]. Pairwise correlations were observed between HFSS scores and MLHFQ physical and emotional sub‐scores with PETS workload and impact indices. Positive correlations were weak to moderate (0.326–0.487) between workload index and symptoms, and moderate to strong between impact index and symptoms (0.553–0.725). The P value was 0.006, adjusted by Bonferroni's correction.

Conclusions

Symptoms are associated with BoT in CHF patients. Although symptom burden was low, CHF patients reported higher levels of burden around self‐care activities of exercise, diet, healthcare interaction, as well as physical and mental fatigue due to engagement with self‐care regimens. Observed higher levels of burden were in key self‐care areas for CHF and suggest areas where service delivery and support of CHF patients may be improved to reduce BoT. Clinicians could individualize their consultations by focusing on troublesome symptoms, as well as alleviating illness workload, which may better enable patients to live well with CHF.

Background and Design of the Biological and Physiological Mechanisms of Symptom Clusters in Heart Failure (BIOMES-HF) Study

BACKGROUND

Symptoms, which often cluster together, are a significant problem in heart failure (HF). There is considerable heterogeneity in symptom burden, particularly in the vulnerable transition period after a hospitalization for HF, and the biological underpinnings of symptom during transitions are unclear. The purpose of this paper is to describe the background and design of a study that addresses these knowledge gaps, entitled "Biological and Physiological Mechanisms of Symptom Clusters in Heart Failure" (BIOMES-HF).

STUDY DESIGN AND METHODS

BIOMES-HF is a prospective gender- and age-balanced longitudinal study of 240 adults during the 6-month transition period after a HF hospitalization. The aims are to: 1) identify clusters of change in physical symptoms, 2) quantify longitudinal associations between biomarkers and physical symptoms, and 3) quantify longitudinal associations between physical frailty and physical symptoms among adults with heart failure. We will measure multiple symptoms, biomarkers, and physical frailty at discharge and then at 1 week and 1, 3, and 6 months post-hospitalization. We will use growth mixture modeling and longitudinal mediation modeling to examine changes in symptoms, biomarkers, and physical frailty post-HF hospitalization and associations therein.

CONCLUSIONS

This innovative study will advance HF symptom science by utilizing a multi-biomarker panel and the physical frailty phenotype to capture the multifaceted nature of HF. Using advanced quantitative modeling, we will characterize heterogeneity and identify potential mechanisms of symptoms in HF. As a result, this research will pinpoint amenable targets for intervention to provide better, individualized treatment to improve symptom burden in HF.

BRIEF LAY SUMMARY

Adults with heart failure may have significant symptom burden. This study is designed to shed light on our understanding of the role of biological and physiological mechanisms in explaining heart failure symptoms, particularly groups of co-occurring symptoms, over time. We will explore how symptoms, biomarkers, and physical frailty changes after a heart failure hospitalization. The knowledge generated from this study will be used to guide the management and self-care for adults with heart failure.

Do patient-reported outcome measures measure up? A qualitative study to examine perceptions and experiences with heart failure proms among diverse, low-income patients

Background

The Kansas City Cardiomyopathy Questionnaire (KCCQ) is a Patient-Reported Outcome Measure (PROM) used to evaluate the health status of patients with heart failure (HF) but has predominantly been tested in settings serving predominately white, male, and economically well-resourced populations. We sought to examine the acceptability of the shorter version of the KCCQ (KCCQ-12) among racially and ethnically diverse patients receiving care in an urban, safety-net setting.

Methods

We conducted cognitive interviews with a diverse population of patients with heart failure in a safety net system to assess their perceptions of the KCCQ-12. We conducted a thematic analysis of the qualitative data then mapped themes to the Capability, Opportunity, Motivation Model of Behavior framework.

Results

We interviewed 18 patients with heart failure and found that patients broadly endorsed the concepts of the KCCQ-12 with minor suggestions to improve the instrument’s content and appearance. Although patients accepted the KCCQ-12, we found that the instrument did not adequately measure aspects of health care and quality of life that patients identified as being important components of managing their heart failure. Patient-important factors of heart failure management coalesced into three main themes: social support, health care environment, and mental health.

Conclusions

Patients from this diverse, low-income, majority non-white population experience unique challenges and circumstances that impact their ability to manage disease. In this study, patients were receptive to the KCCQ-12 as a tool but perceived that it did not adequately capture key health components such as mental health and social relationships that deeply impact their ability to manage HF. Further study on the incorporation of social determinants of health into PROMs could make them more useful tools in evaluating and managing HF in diverse, underserved populations.

Supplementary Information

The online version contains supplementary material available at 10.1186/s41687-022-00410-9.

Do chronic heart failure symptoms interact with burden of treatment? Qualitative literature systematic review

OBJECTIVE

Explore the interaction between patient experienced symptoms and burden of treatment (BoT) theory in chronic heart failure (CHF). BoT explains how dynamic patient workload (self-care) and their capacity (elements influencing capability), impacts on patients' experience of illness.

DESIGN

Review of qualitative research studies.

DATA SOURCES

CINAHL, EMBASE, MEDLINE, PsycINFO, Scopus and Web of Science were searched between January 2007 and 2020.

ELIGIBILITY CRITERIA

Journal articles in English, reporting qualitative studies on lived experience of CHF.

RESULTS

35 articles identified related to the lived experience of 720 patients with CHF. Symptoms with physical and emotional characteristics were identified with breathlessness, weakness, despair and anxiety most prevalent. Identifying symptoms' interaction with BoT framework identified three themes: (1) Symptoms appear to infrequently drive patients to engage in self-care (9.2% of codes), (2) symptoms appear to impede (70.5% of codes) and (3) symptoms form barriers to self-care engagement (20.3% of codes). Symptoms increase illness workload, making completing tasks more difficult; simultaneously, symptoms alter a patient's capacity, through a reduction in their individual capabilities and willingness to access external resources (ie, hospitals) often with devasting impact on patients' lives.

CONCLUSIONS

Symptoms appear to be integral in the patient experience of CHF and BoT, predominately acting to impede patients' efforts to engage in self-care. Symptoms alter illness workload, increasing complexity and hardship. Patients' capacity is reduced by symptoms, in what they can do and their willingness to ask for help. Symptoms can lower their perceived self-value and roles within society. Symptoms appear to erode a patient's agency, decreasing self-value and generalised physical deconditioning leading to affective paralysis towards self-care regimens. Together describing a state of overwhelming BoT which is thought to be a contributor to poor engagement in self-care and may provide new insights into the perceived poor adherence to self-care in the CHF population.

PROSPERO REGISTRATION NUMBER

CRD42017077487.

Uncertainty levels differ by physical heart failure symptom cluster

BACKGROUND

The role of uncertainty, unpredictable symptoms, and unknown illness trajectory are frequent concerns reported in heart failure (HF) literature. Illness uncertainty can lead to difficulty interpreting symptoms, potentially impacting outcomes. Impaired functional status, quality of life, all-cause mortality, rehospitalization, and event-free survival are predicted by symptom clusters. No studies to date describe levels of uncertainty by physical symptom cluster in HF.

AIMS

Describe physical HF symptom clusters and determine if uncertainty levels differ by symptom cluster.

METHODS

Results are based on a secondary analysis of data from patients hospitalized with an acute exacerbation of HF. The Heart Failure Somatic Perception Scale (HFSPS) and Mishel's Uncertainty in Illness Scale (MUIS-C) were completed. Symptom clusters were determined by hierarchical agglomerative clustering. Controlling for age and gender, ANCOVA (post hoc LSD) analyses explored uncertainty levels by symptom cluster group.

RESULTS

One hundred and thirty-three primarily older (76.4 ± 12.1), Caucasian (92.5%) adults (55.2% male), with an ischemic HF etiology (71.6%) were enrolled. Three clusters were found: 1. Shortness of breath, n = 47, 2. Edema, n = 39, and 3. Cardiac, n = 43. Adjusting for age and gender, uncertainty levels differed by cluster group (p ≤ 0.001), with edema cluster members reporting greater illness uncertainty than cardiac cluster members (74.6 vs 69.5, respectively, p = 0.033).

CONCLUSIONS

Differences exist in illness uncertainty levels based on the symptom experience of patients with HF. Care and management of HF symptoms should include a complete assessment of unique symptom cluster profiles.

Prospective Evaluation of Association Between Negative Emotions and Heart Failure Symptom Severity

Background

Prior studies of symptoms in heart failure (HF) were largely cross-sectional and symptoms were measured using retrospective recall. Because negative emotions influence information processing, retrospective symptom reports by patients with depressive symptoms and anxiety may be biased. The purpose of this study was to determine whether there are differences in patterns of symptom changes, measured prospectively, over 15 days by levels of depressive symptoms and anxiety.

Methods

HF patients (N=52) rated daily symptom severity for shortness of breath (SOB), fatigue, sleep disturbance, and edema over 15 days on a 10-point visual analogue scale. Patients were grouped into higher vs lower levels of depressive symptoms and anxiety, respectively, based on median scores of Brief Symptom Inventory subscales. Latent growth curve modeling was used to examine whether patterns of symptom changes over 15 days differed in higher vs lower levels of depressive symptom and anxiety groups.

Results

Those in the higher depressive symptom group had lower levels of baseline symptom severity in SOB (β: -1.46), fatigue (β: -1.71), sleep disturbance (β: -1.78), and edema (β: -1.97) than those in the lower depressive symptom group. However, there were no significant differences in rates of changes in the severity of any of the four symptoms between groups. Anxiety was not associated with baseline severity of symptoms or rates of changes in any of the four symptoms.

Conclusion

Depressive symptoms, but not anxiety, were associated with daily symptom experience. HF patients with higher levels of depressive symptoms may perceive their symptom severity differently than patients with lower levels of depressive symptoms.

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; [chi]22(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.

Identifying unique profiles of perceived dyspnea burden in heart failure

BACKGROUND

Dyspnea is a common symptom of heart failure (HF) but dyspnea burden is highly variable.

OBJECTIVES

Identify distinct profiles of dyspnea burden and identify predictors of dyspnea symptom profile.

METHODS

A secondary analysis of data from five studies completed at Oregon Health and Science University was conducted. The Heart Failure Somatic Perception Scale was used to measure dyspnea burden. Latent class mixture modeling identified distinct profiles of dyspnea burden in a sample of HF patients (n = 449). Backwards stepwise multinomial logistic regression identified predictors of latent profile membership.

RESULTS

Four profiles of dyspnea burden were identified: no dyspnea/not bothered by dyspnea, mild dyspnea, moderate exertional dyspnea, and moderate exertional dyspnea with orthopnea and PND. Higher age was associated with greater likelihood of not being bothered by dyspnea than having moderate exertional dyspnea with orthopnea and PND. Higher NYHA class, anxiety, and depression were associated with greater likelihood of greater dyspnea burden.

CONCLUSIONS

Burden of dyspnea is highly variable among HF patients. Clinicians should account for the nuances of dyspnea and the activities that induce dyspnea when assessing HF patients.

Social cognitive intervention following an initial implantable cardioverter defibrillator: Better treatment response for secondary versus primary prevention

BACKGROUND

The patient + partner (P+P) is a patient/partner-focused social cognitive intervention with demonstrated efficacy to improve outcomes following an initial implantable cardioverter defibrillator (ICD). Little is known about how the patient response may differ by ICD implant indication. The aim of this study was to examine the response to intervention for patients with an initial ICD by reasons for primary versus secondary ICD indication.

METHOD

A longitudinal secondary analysis of data from a randomized clinical trial testing the P+P intervention examined patient health outcomes over 12 months, stratified by the indication for the ICD: primary prevention without cardiac resynchronization therapy (CRT) (1o No CRT, n = 100), primary prevention with CRT (1o CRT, n = 78), secondary prevention after cardiac arrest (2° Cardiac Arrest, n = 66), and secondary prevention for other arrhythmias (2o Other, n = 57). Outcomes included physical and mental health status (Short-Form-36 Physical Component Summary and Mental Component Summary), physical symptoms (Patient Concerns Assessment), depression (Patient-Health-Questionniare-9), and anxiety (State-Trait Anxiety Inventory).

RESULTS

Participants (n = 301) were on average 64 years old, primarily male (73.7%) and Caucasian (91%) with reduced ejection fraction (34%). There were no baseline differences between ICD groups for all outcomes (P > .05). Patients in the 2° Cardiac Arrest group showed greater improvement from baseline to 3 months in physical and mental health outcomes. The 2° Cardiac Arrest group had better physical (F = 11.48, P = .004) and mental health (F = 4.34, P = .038) and less severe physical (z = 2.24, P = 0.013) and depressive symptoms (z = 2.71, P = .003) at 12 months compared to the 1o No CRT group.

CONCLUSION

The P+P intervention was more effective for promoting physical and psychological health outcomes for individuals receiving an ICD for 2o prevention after cardiac arrest.

Identifying subgroups: Part 1: Patterns among cross-sectional data

Non-experimental designs are common in nursing and allied health research wherein study participants often represent more than a single population or interest. Hence, methods used to identify subgroups and explore heterogeneity have become popular. Latent class mixture modeling is a versatile and person-centered analytic strategy that allows us to study questions about subgroups within samples. In this article, a worked example of latent class mixture modeling is presented to help expose researchers to the nuances of this analytic strategy.

Cross-classification of physical and affective symptom clusters and 180-day event-free survival in moderate to advanced heart failure

BACKGROUND

The relationship between physical and affective symptom clusters in heart failure (HF) is unclear.

OBJECTIVES

To identify associations between physical and affective symptom clusters in HF and to quantify outcomes and determinants of symptom subgroups.

METHODS

This was a secondary analysis of data from two cohort studies among adults with HF. Physical and affective symptom clusters were compared using cross-classification modeling. Cox proportional hazards modeling and multinomial logistic regression were used to identify outcomes and determinants of symptom subgroups, respectively.

RESULTS

In this young, mostly male sample (n = 274), physical and affective symptom clusters were cross-classified in a model with acceptable fit. Three symptom subgroups were identified: congruent-mild (69.3%), incongruent (13.9%), and congruent-severe (16.8%). Compared to the congruent-mild symptom group, the incongruent symptom group had significantly worse 180-day event-free survival.

CONCLUSION

Congruence between physical and affective symptom clusters should be considered when identifying patients at higher risk for poor outcomes.

Multimorbidity and the Risk of All-Cause 30-Day Readmission in the Setting of Multidisciplinary Management of Chronic Heart Failure: A Retrospective Analysis of 830 Hospitalized Patients in Australia

BACKGROUND

Multimorbidity has an adverse effect on health outcomes in hospitalized individuals with chronic heart failure (CHF), but the modulating effect of multidisciplinary management is unknown.

OBJECTIVE

The aim of this study was to test the hypothesis that increasing morbidity would independently predict an increasing risk of 30-day readmission despite multidisciplinary management of CHF.

METHODS

We studied patients hospitalized for any reason with heart failure receiving nurse-led, postdischarge multidisciplinary management. We profiled a matrix of expected comorbidities involving the most common coexisting conditions associated with CHF and examined the relationship between multimorbidity and 30-day all-cause readmission.

RESULTS

A total of 830 patients (mean age 73 ± 13 years and 65% men) were assessed. Multimorbidity was common, with an average of 6.6 ± 2.4 comorbid conditions with sex-based differences in prevalence of 4 of 10 conditions. Within 30 days of initial hospitalization, 216 of 830 (26%) patients were readmitted for any reason. Greater multimorbidity was associated with increasing readmission (4%-44% for those with 0-1 to 8-9 morbid conditions; adjusted odds ratio, 1.25; 95% confidence interval, 1.13-1.38) for each additional condition. Three distinct classes of patient emerged: class 1-diabetes, metabolic, and mood disorders; class 2-renal impairment; and class 3-low with relatively fewer comorbid conditions. Classes 1 and 2 had higher 30-day readmission than class 3 did (adjusted P < .01 for both comparisons).

CONCLUSIONS

These data affirm that multimorbidity is common in adult CHF inpatients and in potentially distinct patterns linked to outcome. Overall, greater multimorbidity is associated with a higher risk of 30-day all-cause readmission despite high-quality multidisciplinary management. More innovative approaches to target-specific clusters of multimorbidity are required to improve health outcomes in affected individuals.

Self-care Moderates the Relationship Between Symptoms and Health-Related Quality of Life in Heart Failure

BACKGROUND

Physical symptoms and depression in heart failure (HF) are key drivers of health-related quality of life (HRQOL). Heart failure self-care behaviors are believed to influence how symptoms affect HRQOL.

OBJECTIVE

The goal of this study was to determine if HF self-care behaviors moderate the relationships between physical and depressive symptoms and HRQOL.

METHODS

In a cohort of adults with moderate to advanced HF, multivariate linear regression was used to evaluate the interaction between self-care behaviors (Self-care of HF index maintenance and management scales) and physical HF symptoms (HF Somatic Perception Scale) on emotional HRQOL (emotional dimension of Minnesota Living With HF Questionnaire). The interaction between self-care behaviors and depression (9-item Patient Health Questionnaire) was evaluated on physical HRQOL (physical dimension of Minnesota Living With HF Questionnaire).

RESULTS

The mean age of the sample (N = 202) was 57 ± 13 years, 50% were women, and 61% had New York Heart Association class III or IV HF. Controlling for age, Seattle HF score, functional ability, and comorbidities, self-care maintenance and management moderated the relationship between physical HF symptoms and emotional HRQOL. Only self-care maintenance moderated the relationship between depression and physical HRQOL.

CONCLUSION

In HF, HRQOL is dependent on both the severity of physical and depressive symptoms and the level of engagement in HF self-care behaviors. Future research should consider both self-care behaviors and symptoms when examining patient HRQOL.

Psychometric evaluation of the Heart Failure Somatic Perception Scale in a European heart failure population

Background:

The Heart Failure Somatic Perception Scale (HFSPS) is a four-factor instrument used to assess how bothersome are 18 physical signs and symptoms of heart failure. To date, construct validity and reliability of the HFSPS have been evaluated in only one American study and never in a European population.

Aim:

To evaluate psychometric properties (validity and reliability) of the HFSPS in a European heart failure population.

Methods:

This was an Italian multicentre study in which the HFSPS factorial structure was assessed using confirmatory factor analysis. Criterion related validity of the HFSPS was evaluated by correlating its factor scores with the Kansas City Cardiomyopathy Questionnaire (KCCQ) scores using Pearson’s r. The HFSPS internal consistency reliability was evaluated using the factor score determinacy coefficient, Cronbach’s α and model-based internal consistency index.

Results:

Most of the participants ( n=321) were male (56.6%), with a mean age of 71.48 years (SD, 12.75) and in New York Heart Association class II (61.8%). The confirmatory factor analysis, testing the original HFSPS four-factor structure (dyspnoea, chest discomfort, early and subtle, and oedema), resulted in the following supportive fit indices: χ2 (126, N=321)=337.612, p<0.001, comparative fit index =0.920, Tucker–Lewis index =0.903, root mean square error of approximation =0.072 and standardized root mean square residual =0.045. With regard to the criterion related validity, all the correlations with the KCCQ were statistically significant. The HFSPS reliability resulted in factor score determinacy coefficients ⩾ 0.87 and Cronbach’s α ⩾ 0.75, with the exception of the two-item chest discomfort subscale; the model-based reliability coefficient was 0.914.

Conclusion:

The validity and reliability of the HFSPS were supportive in this European sample. The HFSPS can be used to assess how bothersome heart failure signs and symptoms are in order to improve their management.

Physiologic childbirth and active management of the third stage of labor: A latent class model of risk for postpartum hemorrhage

BACKGROUND

Postpartum hemorrhage (PPH) is a threat to maternal mortality worldwide. Evidence supports active management of third stage labor (AMTSL) for preventing PPH. However, trials of AMTSL include women at varying risk levels, such as women undergoing physiologic labor and those with labor complications. Counseling women about their risk for PPH and AMTSL is difficult as many women who appear low-risk can still have PPH.

METHODS

This study uses outcomes of 2322 vaginal births from a hospital midwifery service in the United States to examine risks for PPH and effectiveness of AMTSL. Using a latent class analysis approach, physiologic birth practices and other risk factors for PPH were analyzed to understand if discrete classes of clinical characteristics would emerge. The effect of AMTSL on the PPH outcome was also considered by class.

RESULTS

A four-class solution best fit the data; each class was clinically distinct. The two largest Classes (A and B) represented women with term births and lower average parity, with higher rates of nulliparity in Class B. Class A women had more physiologic birth elements and less labor induction or labor dysfunction compared with Class B. PPH and AMTSL use was higher in Class B. In Class B, AMTSL lowered risk for PPH. However, in Class A, AMTSL was associated with higher risk for PPH and delayed placental delivery (>30 minutes).

DISCUSSION

AMTSL may not be as beneficial to women undergoing physiologic birth. Further study of the etiology of PPH in these women is indicated to inform preventive care.

Heart Failure and Problems with Frailty Syndrome: Why it is Time to Care About Frailty Syndrome in Heart Failure

Frailty syndrome (FS) is an independent predictor of mortality in cardiovascular disease and is found in 15–74% of patients with heart failure (HF). The syndrome has a complex, multidimensional aetiology and contributes to adverse outcomes. Proper FS diagnosis and treatment determine prognosis and support the evaluation of treatment outcomes. Routine FS assessment for HF patients should be included in daily clinical practice as an important prognostic factor within a holistic process of diagnosis and treatment. Multidisciplinary team members, particularly nurses, play an important role in FS assessment in hospital and primary care settings, and in the home care environment. Raising awareness of concurrent FS in patients with HF patients and promoting targeted interventions may contribute to a decreased risk of adverse events, and a better prognosis and quality of life.

Patterns of heart failure symptoms are associated with self-care behaviors over 6 months

BACKGROUND

Both heart failure symptoms and self-care are associated with patient outcomes. Although it is thought that symptoms drive self-care, there is limited evidence to support this assumption over time.

AIMS

To determine whether patterns of physical symptoms are significantly associated with heart failure self-care over time.

METHOD

Latent mixture analysis was used to identify subgroups based on physical symptoms of dyspnea, sleepiness and edema (using the heart failure somatic perception and Epworth sleepiness scales). Growth modeling was used to determine if symptom subgroups were associated with self-care behaviors (using the self-care in heart failure index) over 6 months. Sociodemographic and clinical variables predicting the likelihood of subgroup membership were identified using logistic regression.

RESULTS

The sample ( n=146) was on average 57 years old, 70% were men and 59% had class III/IV heart failure. Two symptom subgroups were identified (entropy 0.91): a high symptom group ( n=24; 16%) with no significant change in symptoms over time (high sustained), and a low symptom group ( n=122; 84%) with no significant change in symptoms over time (low sustained). The high sustained group was associated significantly with better self-care behaviors at baseline and over 6 months. Women (odds ratio (OR) 3.67, P=0.023) and patients with more depressive symptoms (OR 1.16, P=0.015) were more likely to be in the high sustained symptom group. Those treated with a renin-angiotensin-aldosterone system agent were less likely to be in the high symptom group (OR 0.17, P=0.015).

CONCLUSION

Patients bothered more by symptoms are consistently more engaged in self-care behaviors over time. The results of this study support symptoms as an important driver of self-care behaviors.

Symptom burden in heart failure: assessment, impact on outcomes, and management

Evidence-based management has improved long-term survival in patients with heart failure (HF). However, an unintended consequence of increased longevity is that patients with HF are exposed to a greater symptom burden over time. In addition to classic symptoms such as dyspnea and edema, patients with HF frequently suffer additional symptoms such as pain, depression, gastrointestinal distress, and fatigue. In addition to obvious effects on quality of life, untreated symptoms increase clinical events including emergency department visits, hospitalizations, and long-term mortality in a dose-dependent fashion. Symptom management in patients with HF consists of two key components: comprehensive symptom assessment and sufficient knowledge of available approaches to alleviate the symptoms. Successful treatment addresses not just the physical but also the emotional, social, and spiritual aspects of suffering. Despite a lack of formal experience during cardiovascular training, symptom management in HF can be learned and implemented effectively by cardiology providers. Co-management with palliative medicine specialists can add significant value across the spectrum and throughout the course of HF.

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.

Heart Failure Symptoms Profile Associated With Depressive Symptoms

Heart failure (HF) symptoms are known to influence depressive symptoms, yet a symptom profile has not been identified. HF symptoms relative to symptom experience (frequency, severity, interference with physical activity and enjoyment of life) associated with depressive symptoms were examined. Data from three HF studies (N = 308) which used the Heart Failure Symptom Survey were included in this cross-sectional secondary analysis. Supervised classification for and identification of symptoms most associated with depressive symptoms were accomplished using random forest algorithms via conditional inference trees. The HF symptom profile associated with depressive symptoms across all four symptom experience domains included fatigue, dizziness, and forgetfulness/difficulty concentrating. Abdominal bloating, worsening cough, and difficulty sleeping were also important, but did not consistently rank in the top 5 for symptom importance relative to all symptom experience domains. Symptom profiling may enhance early identification of patients at risk for depressive symptoms and inform symptom management interventions.

Symptom Diary Use and Improved Survival for Patients With Heart Failure

BACKGROUND

Attention to symptoms of weight gain and dyspnea are central tenets of patient education in heart failure (HF). However, it is not known whether diary use improves patient outcomes. The aims of this study were to compare mortality among rural patients with HF who completed versus did not complete a daily diary of weight and symptom self-assessment and to identify predictors of diary use.

METHODS AND RESULTS

This is a secondary analysis of a 3-arm randomized controlled trial on HF education of self-care with 2 intervention groups versus control who were given diaries for 24 months to track daily weight, HF symptoms, and response to symptom changes. Mean age was 66±13, 58% were men, and 67% completed diaries (n=393). We formed 5 groups (no use, low, medium, high, and very high) based on the first 3 months of diary use and then analyzed time to event (cardiac mortality, all-cause mortality, and HF-related readmission) starting at 3 months. Compared with patients with no diary use, high and very high diary users were less likely to experience all-cause mortality (P=0.02 and P=0.01, respectively). Self-reported sedentary lifestyle was associated with less diary use in an adjusted model (odds ratio, 0.66; 95% confidence interval, 0.46-0.95; P=0.03). Depression and sex were not significant predictors of diary use in the adjusted model.

CONCLUSIONS

In this study of 393 rural patients with HF, we found that greater diary use was associated with longer survival. These findings suggest that greater engagement in self-care behaviors is associated with better HF outcomes.

CLINICAL TRIAL REGISTRATION

URL: https://www.clinicaltrials.gov. Unique Identifier: NCT00415545.

Exploring Symptom Clusters in People With Heart Failure

Patients with heart failure (HF) experience multiple symptoms or symptom clusters. The purposes of this study were to (a) determine if distinct latent classes of HF symptoms could be identified, and (b) explore whether sociodemographic and clinical characteristics influenced symptom cluster membership. A total of 4,011 HF patients recruited from outpatient setting completed the Minnesota Living With Heart Failure Questionnaire (MLHFQ), including five physical symptoms (edema, shortness of breath, fatigue-increased need to rest, fatigue-low energy, and sleep difficulties) and three psychological symptoms (worrying, feeling depressed, and cognitive problems). Four distinct classes using latent class profile analysis were identified: low distress (Class 1), physical distress (Class 2), psychological distress (Class 3), and high distress (Class 4). Significant differences among the four latent classes were found for age, education level, and comorbidities. Symptom clusters are useful for recognition of HF symptoms, allowing for the development of strategies that target symptom groups.

Patterns, relevance and predictors of heart failure dyadic symptom appraisal

BACKGROUND

Caregivers are thought to play a major role in helping patients first appraise and then respond to heart failure (HF) symptoms.

AIMS

The aims of this study were to: (a) characterise distinct patterns of HF patient-caregiver dyads with respect to symptom appraisal; and (b) link dyadic symptom appraisal to contributions to self-care and caregiver strain.

METHODS AND RESULTS

A cross-sectional dyadic descriptive design was used to capture patient and caregiver appraisal of patient HF symptoms (i.e. dyspnoea, fatigue, pain and anxiety). Contributions to self-care were measured using patient and caregiver versions of the Self-Care of Heart Failure Index and the European Heart Failure Self-care Behaviour Scale. Caregiver strain was measured using the Multidimensional Caregiver Strain Index. Multilevel and latent class mixture modelling (LCMM) were used to examine distinct patterns of symptom appraisal. Two patterns of dyadic symptom appraisal were identified: one pattern ( n = 24; 38.7%) wherein caregivers appraised patients' symptoms as being significantly worse than did the patient (labelled as 'Caregiver > Patient'); and a second pattern ( n = 38; 61.3%) wherein patients appraised their symptoms similar to or worse than that as perceived by their caregiver (labelled as 'Patient ⩾ Caregiver'). Dyads in the Caregiver > Patient pattern of symptom appraisal reported much better contributions to self-care (symptom response behaviours only), but also greater caregiver strain, compared with dyads in the Patient ⩾ Caregiver pattern. Greater patient depression and older caregiver age were significant determinants of fitting the Patient ⩾ Caregiver pattern.

CONCLUSION

Differences in how HF patients and caregivers appraise symptoms together must be taken into consideration when examining contributions to HF care and caregiver outcomes.

Gender-Specific Physical Symptom Biology in Heart Failure

BACKGROUND

There are several gender differences that may help explain the link between biology and symptoms in heart failure (HF).

OBJECTIVE

The aim of this study was to examine gender-specific relationships between objective measures of HF severity and physical symptoms.

METHODS

Detailed clinical data, including left ventricular ejection fraction and left ventricular internal end-diastolic diameter, and HF-specific physical symptoms were collected as part of a prospective cohort study. Gender interaction terms were tested in linear regression models of physical symptoms.

RESULTS

The sample (101 women and 101 men) averaged 57 years of age and most participants (60%) had class III/IV HF. Larger left ventricle size was associated with better physical symptoms for women and worse physical symptoms for men.

CONCLUSION

Decreased ventricular compliance may result in worse physical HF symptoms for women and dilation of the ventricle may be a greater progenitor of symptoms for men with HF.

Symptom-Hemodynamic Mismatch and Heart Failure Event Risk

BACKGROUND

Heart failure (HF) is a heterogeneous condition of both symptoms and hemodynamics.

OBJECTIVE

The goals of this study were to identify distinct profiles among integrated data on physical and psychological symptoms and hemodynamics and quantify differences in 180-day event risk among observed profiles.

METHODS

A secondary analysis of data collected during 2 prospective cohort studies by a single group of investigators was performed. Latent class mixture modeling was used to identify distinct symptom-hemodynamic profiles. Cox proportional hazards modeling was used to quantify difference in event risk (HF emergency visit, hospitalization, or death) among profiles.

RESULTS

The mean age (n = 291) was 57 ± 13 years, 38% were female, and 61% had class III/IV HF. Three distinct symptom-hemodynamic profiles were identified: 17.9% of patients had concordant symptoms and hemodynamics (ie, moderate physical and psychological symptoms matched the comparatively good hemodynamic profile), 17.9% had severe symptoms and average hemodynamics, and 64.2% had poor hemodynamics and mild symptoms. Compared with those in the concordant profile, both profiles of symptom-hemodynamic mismatch were associated with a markedly increased event risk (severe symptoms hazards ratio, 3.38; P = .033; poor hemodynamics hazards ratio, 3.48; P = .016).

CONCLUSIONS

A minority of adults with HF have concordant symptoms and hemodynamics. Either profile of symptom-hemodynamic mismatch in HF is associated with a greater risk of healthcare utilization for HF or death.

Physical and psychological symptom biomechanics in moderate to advanced heart failure

BACKGROUND

There is a common dissociation between objective measures and patient symptomatology in heart failure (HF).

OBJECTIVE

The aim of this study was to explore the relationship between cardiac biomechanics and physical and psychological symptoms in adults with moderate to advanced HF.

METHODS

We performed a secondary analysis of data from 2 studies of symptoms among adults with HF. Stepwise regression modeling was performed to examine the influence of cardiac biomechanics (left ventricular internal diastolic diameter, right atrial pressure [RAP], and cardiac index) on symptoms.

RESULTS

The average age of the sample (n = 273) was 57 ± 16 years, 61% were men, and 61% had class III or IV HF. Left ventricular internal diastolic diameter (β = 4.22 ± 1.63, P = .011), RAP (β = 0.71 ± 0.28, P = .013), and cardiac index (β = 7.11 ± 3.19, P = .028) were significantly associated with physical symptoms. Left ventricular internal diastolic diameter (β = 0.10 ± 0.05, P = .038) and RAP (β = 0.03 ± 0.01, P = .039) were significantly associated with anxiety. There were no significant biomechanical determinants of depression.

CONCLUSION

Cardiac biomechanics were related to physical symptoms and anxiety, providing preliminary evidence of the biological underpinnings of symptomatology among adults with HF.

Background and design of the profiling biobehavioral responses to mechanical support in advanced heart failure study

BACKGROUND

Unexplained heterogeneity in response to ventricular assist device (VAD) implantation for the management of advanced heart failure impedes our ability to predict favorable outcomes, provide adequate patient and family education, and personalize monitoring and symptom management strategies. The purpose of this article was to describe the background and the design of a study entitled "Profiling Biobehavioral Responses to Mechanical Support in Advanced Heart Failure" (PREMISE).

STUDY DESIGN AND METHODS

PREMISE is a prospective cohort study designed to (1) identify common and distinct trajectories of change in physical and psychological symptom burden; (2) characterize common trajectories of change in serum biomarkers of myocardial stress, systemic inflammation, and endothelial dysfunction; and (3) quantify associations between symptoms and biomarkers of pathogenesis in adults undergoing VAD implantation. Latent growth mixture modeling, including parallel process and cross-classification modeling, will be used to address the study aims and will entail identifying trajectories, quantifying associations between trajectories and both clinical and quality-of-life outcomes, and identifying predictors of favorable symptom and biomarker responses to VAD implantation.

CONCLUSIONS

Research findings from the PREMISE study will be used to enhance shared patient and provider decision making and to shape a much-needed new breed of interventions and clinical management strategies that are tailored to differential symptom and pathogenic responses to VAD implantation.

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.

Dimensionality and reliability of the self-care of heart failure index scales: further evidence from confirmatory factor analysis

The Self-Care of Heart Failure Index (SCHFI) is used widely, but issues with reliability have been evident. Cronbach alpha coefficient is usually used to assess reliability, but this approach assumes a unidimensional scale. The purpose of this article is to address the dimensionality and internal consistency reliability of the SCHFI. This was a secondary analysis of data from 629 adults with heart failure enrolled in three separate studies conducted in the northeastern and northwestern United States. Following testing for scale dimensionality using confirmatory factor analysis, reliability was tested using coefficient alpha and alternative options. Confirmatory factor analysis demonstrated that: (a) the Self-Care Maintenance Scale has a multidimensional four-factor structure; (b) the Self-Care Management Scale has a two-factor structure, but the primary factors loaded on a common higher-order factor; and (c) the Self-Care Confidence Scale is unidimensional. Reliability estimates for the three scales, obtained with methods compatible with each scale's dimensionality, were adequate or high. The results of the analysis demonstrate that issues of dimensionality and reliability cannot be separated. Appropriate estimates of reliability that are consistent with the dimensionality of the scale must be used. In the case of the SCHFI, coefficient alpha should not be used to assess reliability of the self-care maintenance and the self-care management scales, due to their multidimensionality. When performing psychometric evaluations, we recommend testing dimensionality before assessing reliability, as well using multiple indices of reliability, such as model-based internal consistency, composite reliability, and omega and maximal reliability coefficients.

Profiles of self-care management versus consulting behaviors in adults with heart failure

INTRODUCTION

Patients with heart failure (HF) vary in their ability to respond to symptoms when they occur. The goal of this study was to classify common patterns of symptom response behaviors among adults with HF and identify biobehavioral determinants thereof.

METHODS

Consulting behaviors (i.e. contacting a provider for guidance) were measured using the European Heart Failure Self-care Behavior Scale consulting behaviors subscale, and self-care management (i.e. recognizing and engaging in self-initiated treatment of symptoms) was measured with the Self-Care of HF Index self-care management scale in a prospective cohort study. Latent class mixture modeling was used to identify distinct profiles of consulting and of self-care management behaviors.

RESULTS

The mean age (n=146) was 57±13 years, 30% were female, and 59% had class III/IV HF. Two distinct profiles of consulting behaviors (novice and expert) and three distinct profiles of self-care management (novice, inconsistent and expert) were identified. There was a weak association between profiles of consulting behaviors and self-care management (Kendall's tau-b=0.211). Higher levels of anxiety were associated with worse consulting behaviors (β=1.67±0.60) and worse self-care management (β= -5.82±3.12) and lower odds of exhibiting expert level consulting behaviors (odds ratio (OR)=0.50; 95% confidence interval (CI)=0.26-0.95) and self-care management (OR=0.47; 95% CI=0.24-0.92) (all p<0.05). Higher levels of physical symptoms were associated with better self-care management (β=0.50±0.12; OR =1.02, 95% CI=1.00-1.05; both p<0.05).

CONCLUSIONS

Expertise in consulting behaviors does not necessarily confer expertise in symptom self-care management and vice versa. Physical and psychological symptoms are strong determinants of symptom response behaviors.