Daily Variability in Dyspnea, Edema and Body Weight in Heart Failure Patients

Symptom characteristics, perceived causal attributions, and contextual factors influencing self-care behaviors: An ecological daily assessment study of adults with chronic illness

OBJECTIVE

Insights into how symptoms influence self-care can guide patient education and improve symptom control. This study examined symptom characteristics, causal attributions, and contextual factors influencing self-care of adults with arthritis, asthma, chronic obstructive pulmonary disease, diabetes, or heart failure.

METHODS

Adults (n = 81) with a symptomatic chronic illness participated in a longitudinal observational study. Using Ecological Daily Assessment, participants described one symptom twice daily for two weeks, rating its frequency, severity, bothersomeness, duration, causes, and self-care.

RESULTS

The most frequent symptoms were fatigue and shortness of breath. Pain, fatigue, and joint stiffness were the most severe and bothersome. Most participants engaged in active self-care, but those with fatigue and pain engaged in passive self-care (i.e., rest or do nothing), especially when symptoms were infrequent, mild, somewhat bothersome, and fleeting. In people using passive self-care, thoughts, feelings, and the desire to conceal symptoms from others interfered with self-care.

CONCLUSION

Most adults with a chronic illness take an active role in managing their symptoms but some conceal or ignore symptoms until the frequency, severity, bothersomeness, or duration increases.

PRACTICE IMPLICATIONS

When patients report symptoms, asking about self-care behaviors may reveal inaction or ineffective approaches. A discussion of active self-care options may improve symptom control.

Belly fat or bloating? New insights into the physical appearance of St Anthony of Padua

Over the centuries, iconographic representations of St Anthony of Padua, one of the most revered saints in the Catholic world, have been inspired by literary sources, which described the Saint as either naturally corpulent or with a swollen abdomen due to dropsy (i.e. fluid accumulation in the body cavities). Even recent attempts to reconstruct the face of the Saint have yielded discordant results regarding his outward appearance. To address questions about the real appearance of St Anthony, we applied body mass estimation equations to the osteometric measurements taken in 1981, during the public recognition of the Saint’s skeletal remains. Both the biomechanical and the morphometric approach were employed to solve some intrinsic limitations in the equations for body mass estimation from skeletal remains. The estimated body mass was used to assess the physique of the Saint with the body mass index. The outcomes of this investigation reveal interesting information about the body type of the Saint throughout his lifetime.

Weighing the Association Between BMI Change and Suicide Mortality

OBJECTIVE

Suicide rates continue to rise, necessitating the identification of risk factors. Obesity and suicide mortality rates have been examined, but associations among weight change, death by suicide, and depression among adults in the United States remain unclear.

METHODS

Data from 387 people who died by suicide in 2000-2015 with a recorded body mass index (BMI) in the first and second 6 months preceding their death ("index date") were extracted from the Mental Health Research Network. Each person was matched with five people in a control group (comprising individuals who did not die by suicide) by age, sex, index year, and health care site (N=1,935).

RESULTS

People who died by suicide were predominantly male (71%), White (69%), and middle aged (mean age=57 years) and had a depression diagnosis (55%) and chronic health issues (57%) (corresponding results for the control group: 71% male, 66% White, 14% with depression diagnosis, and 43% with chronic health issues; mean age=56 years). Change in BMI within the year before the index date statistically significantly differed between those who died by suicide (mean change=-0.72±2.42 kg/m²) and the control group (mean change=0.06±4.99 kg/m²) (p<0.001, Cohen's d=0.17). A one-unit BMI decrease was associated with increased risk for suicide after adjustment for demographic characteristics, mental disorders, and Charlson comorbidity score (adjusted odds ratio=1.11, 95% confidence interval=1.05-1.18, p<0.001). For those without depression, a BMI change was significantly associated with suicide (p<0.001).

CONCLUSIONS

An increased suicide mortality rate was associated with weight loss in the year before a suicide after analyses accounted for general and mental health indicators.

Evaluation of the Accuracy of a Video and AI Solution to Measure Lower Leg and Foot Volume

Background and Objectives

Peripheral edema, change in foot volume, is a marker of congestion which is regularly assessed in routine clinical care. A novel video and Artificial Intelligence (AI)-based solution used to measure anatomical parameters, including volume and foot length, Heartfelt HF-1, is compared to the laboratory gold standard (water displacement) and a medical disposable measuring tape.

Design Setting Participants and Measurements

58 healthy volunteers were measured with the Heartfelt device; 22 were also measured with the water displacement method and 19 with the medical tape. Bland-Altman analysis was performed for both volumes and foot lengths. Left/right foot differences provided covariance-corrected standard error of measurement (ccSEM) and minimum detectable difference (MDD) for each measurement method.

Results

Heartfelt device measured volumes displayed excellent correlation to the gold standard (water displacement), with Bland-Altman bias of +32mL ±81mL (1 std.dev). Clinically important change in foot volume is approximately 13%. Water displacement yielded ccSEM of ± 32.1mL and MDD of 90mL (6.7% of average foot volume), while the Heartfelt device measurements yielded ccSEM of ±12.6mL and MDD of 35.3mL (2.6% of average foot volume). The majority of differences were attributable to manual positioning of the patient foot in the waterbath.

Conclusion

This study finds that in clinical and non-clinical settings, the Heartfelt device measures foot volume and length more precisely than either the water displacement technique or manual foot length measurements using a medical disposable tape, while having an excellent agreement with these methods.

Navigating Symptom Management in Heart Failure: The Crucial Role of the Critical Care Nurse

High-acuity, progressive care, and critical care nurses often provide care for patients with heart failure during an exacerbation of acute disease or at the end of life. Identifying and managing heart failure symptoms is complex and requires early recognition and early intervention. Because symptoms of heart failure are not disease specific, patients may not respond to them appropriately, resulting in treatment delays. This article reviews the complexities and issues surrounding the patient's ability to recognize heart failure symptoms and the critical care nurse's role in facilitating early intervention. It outlines the many barriers to symptom recognition and response, including multimorbidities, age, symptom intensity, symptom escalation, and health literacy. The influence of self-care on heart failure management is also described. The critical care nurse plays a crucial role in teaching heart failure patients to identify and respond appropriately to their symptoms, thus promoting early intervention.

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.

Utilizing an Artificial Neural Network to Predict Self-Management in Patients With Chronic Obstructive Pulmonary Disease: An Exploratory Analysis

PURPOSE

The main objective of this study was to utilize an artificial neural network in an exploratory fashion to predict self-management behaviors based on reported symptoms in a sample of stable patients with chronic obstructive pulmonary disease (COPD).

DESIGN AND METHODS

Patient symptom data were collected over 21 consecutive days. Symptoms included distress due to cough, chest tightness, distress due to mucus, dyspnea with activity, dyspnea at rest, and fatigue. Self-management abilities were measured and recorded periodically throughout the study period and were the dependent variable for these analyses. Self-management ability scores were broken into three equal tertiles to signify low, medium, and high self-management abilities. Data were entered into a simple artificial neural network using a three-layer model. Accuracy of the neural network model was calculated in a series of three models that respectively used 7, 14, and 21 days of symptom data as input (independent variables). Symptom data were used to determine if the model could accurately classify participants into their respective self-management ability tertiles (low, medium, or high scores). Through analysis of synaptic weights, or the strength or amplitude of a connection between variables and parts of the neural network, the most important variables in classifying self-management abilities could be illuminated and served as another outcome in this study.

FINDINGS

The artificial neural network was able to predict self-management ability with 93.8% accuracy if 21 days of symptom data were included. The neural network performed best when predicting the low and high self-management abilities but struggled in predicting those with medium scores. By analyzing the synaptic weights, the most important variables determining self-management abilities were gender, followed by chest tightness, age, cough, breathlessness during activity, fatigue, breathlessness at rest, and phlegm.

CONCLUSIONS

The results of this study suggest that self-management abilities could potentially be predicted through understanding and reporting of patient's symptoms and use of an artificial neural network. Future research is clearly needed to expand on these findings.

CLINICAL RELEVANCE

Symptom presentation in chronically ill patients directly impacts self-management behaviors. Patients with COPD experience a number of symptoms that have the potential to impact their ability to manage their chronic disease, and artificial neural networks may help clinicians identify patients at risk for poor self-management abilities.

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.

Effects of a Digital Self-care Intervention in Adults with COPD: A Pilot Study

Self-care improves quality of life, and reduces exacerbations and mortality risk in people with chronic obstructive pulmonary disease (COPD). The purpose of this report is to describe the development and testing of the feasibility and acceptability of a digital, educational self-care intervention designed to improve self-care ability, adherence, knowledge, somatic symptoms, anxiety, and depressive symptoms.

This pilot study was a quasi-experimental, repeated measures design. Self-care behaviors were identified, and educational modules were developed and built into a web-based platform. Twenty participants were enrolled to determine feasibility, acceptability, and preliminary efficacy.

The intervention was deemed acceptable and feasible as evidenced by > 95% completion rates and high degree of participation. Overall, the intervention was well received and is feasible for future home-based interventions in those with COPD. Results included significant improvements in adherence and knowledge, and significant associations between self-care ability, adherence, and depressive symptoms.

Symptom perception in heart failure: a scoping review on definition, factors and instruments

Background:

Symptom perception in heart failure has been identified as crucial for effective self-care that is a modifiable factor related to decreased hospital readmission and improved survival.

Aims:

To review systematically the heart failure symptom perception literature and synthesise knowledge on definition, description, factors and instruments.

Methods:

We conducted a scoping review including studies reporting patient-reported symptom perception in adults with heart failure. Structured searches were conducted in Medline, PubMed, Embase, CINAHL, PsychINFO, Web of Science, Cochrane, JBI and grey literature. Two authors independently reviewed references for eligibility. Data were charted in tables and results narratively summarised.

Results:

The search yielded 3057 references, of which 106 were included. The definition of heart failure symptom perception comprised body listening, monitoring signs, recognising, interpreting and labelling symptoms, and furthermore awareness of and assigning meaning to the change. Symptom monitoring, recognition and interpretation were identified as challenging. Symptom perception facilitators include prior heart failure hospitalisation, heart failure self-care maintenance, symptom perception confidence, illness uncertainty and social support. Barriers include knowledge deficits, symptom clusters and lack of tools/materials. Factors with inconsistent impact on symptom perception include age, sex, education, experiences of living with heart failure, comorbidities, cognitive impairment, depression and symptom progression. One instrument measuring all dimensions of heart failure symptom perception was identified.

Conclusion:

Heart failure symptom perception definition and description have been elucidated. Several factors facilitating or hampering symptom perception are known. Further research is needed to determine a risk profile for poor symptom perception – which can then be taken into consideration when supporting heart failure self-care.

The Role of Dyadic Confidence on Engagement in Heart Failure Care Behaviors

Background and Objectives

Increasingly, older adults and their families are expected to manage complex conditions with little support. In the case of heart failure (HF), symptom monitoring and management are critical in preventing acute exacerbations and poor clinical outcomes. The current study examined the role of dyadic confidence on engagement in HF care behaviors by patients and their spouses.

Research Design and Methods

A cross-sectional design was used to examine 60 couples living with HF. Three dyadic confidence variables were created to represent average level of confidence, gap in confidence, and direction of gap within each couple. A series of multilevel models were used to examine dyadic engagement in HF maintenance, management, and consulting behaviors and the role of dyadic confidence.

Results

Patients were significantly more engaged in HF maintenance behaviors than spouses; couples were more collaborative in their engagement in HF management and consulting behaviors. Average level of confidence in the dyad was significantly associated with patient engagement in all three HF behaviors. Spouse engagement was associated with more congruence in confidence and having higher levels of confidence than their partners with HF. Women were significantly more engaged in HF behaviors than men, regardless of role.

Discussion and Implications

The study employed a dyadic approach to HF care and a novel approach to confidence. Findings confirm the social nature of confidence and its important role in HF. Clinicians have opportunities to optimize patient outcomes by fostering greater collaboration within couples.

A mixed methods study of symptom perception in patients with chronic heart failure

BACKGROUND

Early heart failure (HF) symptoms are frequently unrecognized for reasons that are unclear. We explored symptom perception in patients with chronic HF.

METHODS

We enrolled 36 HF out-patients into a longitudinal sequential explanatory mixed methods study. We used objectively measured thoracic fluid accumulation and daily reports of signs and symptoms to evaluate accuracy of detected changes in fluid retention. Patterns of symptom interpretation and response were explored in telephone interviews conducted every 2 weeks for 3-months.

RESULTS

In this sample, 44% had a mismatch between objective and subjective fluid retention; younger persons were more likely to have mismatch. In interviews, two patterns were identified: those able to interpret and respond appropriately to symptoms were higher in decision-making skill and the quality of social support received.

CONCLUSION

Many HF patients were poor at interpreting and managing their symptoms. These results suggest a subgroup of patients to target for intervention.

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.

Clinical significance of bilateral leg edema and added value of monitoring weight gain during follow-up of patients with established heart failure

PURPOSE

This study evaluated the clinical characteristics of bilateral leg edema during follow-up of heart failure (HF) patients and determined the added value of monitoring fluid weight gain for deciding whether this non-specific sign is a more clinically relevant sign.

METHODS

Retrospective analysis was performed on 1826 visits from 83 ambulatory patients with established mild-to-moderate HF. Evaluated HF-related signs included leg edema, pulmonary crackles, S3, weight gain, and ultrasound pleural effusion.

RESULTS

During follow-up, 75 patients with 161 visits had at least one of the following HF-related events: weight gain (n = 107), leg edema (n = 90), ultrasound pleural effusion (n = 85), pulmonary crackles (n = 29), and S3 (n = 16). Compared with the events of sole leg edema (n = 23), leg edema events with additional HF-related sign(s) (n = 67) accompanied more symptomatic worsening (7% vs. 55%, P < 0.0001), and a higher incidence (61% vs. 96%, P = 0.0002) and magnitude of increased serum B-type natriuretic peptide. Sole leg edema events rarely progressed to worsening HF before the next regular clinic visit. Patients with the event of both leg edema and weight gain more often experienced worsening HF requiring extra clinic visits and/or hospitalization. Amongst a total of 67 leg edema events with additional HF-related signs, 56 (84%) coexisted with weight gain. Therefore, additional monitoring of weight gain efficiently distinguished the clinically significant leg edema events from insignificant sole leg edema events.

CONCLUSIONS

During follow-up of mild-to-moderate HF patients, sole leg edema appeared around 30% of the leg edema events, which is considered clinically insignificant. Additional checking for weight gain could be useful for determining whether this sign is a clinically relevant HF-related sign. The appearance of these both signs during follow-up of established HF patients should be intentionally watched or treated by extra diuretics and/or drug adjustment to prevent worsening of HF.

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

: 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.

Prediction of Heart Failure Decompensation Events by Trend Analysis of Telemonitoring Data

This paper aims to assess the predictive value of physiological data daily collected in a telemonitoring study in the early detection of heart failure (HF) decompensation events. The main hypothesis is that physiological time series with similar progression (trends) may have prognostic value in future clinical states (decompensation or normal condition). The strategy is composed of two main steps: a trend similarity analysis and a predictive procedure. The similarity scheme combines the Haar wavelet decomposition, in which signals are represented as linear combinations of a set of orthogonal bases, with the Karhunen-Loève transform, that allows the selection of the reduced set of bases that capture the fundamental behavior of the time series. The prediction process assumes that future evolution of current condition can be inferred from the progression of past physiological time series. Therefore, founded on the trend similarity measure, a set of time series presenting a progression similar to the current condition is identified in the historical dataset, which is then employed, through a nearest neighbor approach, in the current prediction. The strategy is evaluated using physiological data resulting from the myHeart telemonitoring study, namely blood pressure, respiration rate, heart rate, and body weight collected from 41 patients (15 decompensation events and 26 normal conditions). The obtained results suggest, in general, that the physiological data have predictive value, and in particular, that the proposed scheme is particularly appropriate to address the early detection of HF decompensation.

Trajectories of heart failure self-care management and changes in quality of life

INTRODUCTION

Heart failure patients vary considerably in their self-care management behaviors (i.e. recognizing and responding to symptoms). The goal of this study was to identify unique patterns of change in heart failure self-care management and quantify associations between self-care management and quality of life (HRQOL) over time.

METHODS

A prospective cohort study among adults with symptomatic heart failure was designed to measure changes in self-care management (Self-care of Heart Failure Index) and HRQOL (Kansas City Cardiomyopathy Questionnaire) over six months. Growth mixture modeling was used to identify unique trajectories of change in self-care management.

RESULTS

The mean age (n=146) was 57 years, 70% were male, and 41% had class II heart failure. Two trajectories of self-care management were identified (entropy = 0.88). The larger trajectory (73.3%) was characterized by a significant decline in self-care management over time and no change in HRQOL. The smaller trajectory (26.7%) was characterized by marked improvements in self-care management and HRQOL. Changes in heart failure self-care management occurred in the absence of change in routine self-care maintenance behaviors, functional classification, and physical and psychological symptoms. Patients with greater physical symptoms at enrollment (odds ratio (OR) =1.04, p=0.037), larger left ventricles (OR=1.50, p=0.044), and ischemic heart failure (OR=3.84, p=0.014) were more likely to have the declining trajectory of self-care management. Higher levels of depression at enrollment were associated with reduced odds of having a decline in self-care management over time (OR=0.85, p<0.001).

CONCLUSIONS

There are unique and clinically-relevant trajectories of change in heart failure self-care management that are associated with differences in HRQOL.

Effects of tailored telemonitoring on heart failure patients' knowledge, self-care, self-efficacy and adherence: a randomized controlled trial

BACKGROUND

The education of patients with heart failure (HF) is an essential part of disease management. The perspectives of an increasing number of patients and a shortage of professionals force healthcare to explore new strategies in supporting patients to be better informed and more active.

METHODS

Three hundred and eighty-two patients with HF (age 71±SD 11.2 years) were randomly assigned to either a telemonitoring or a usual care group. Patients received four postal questionnaires to assess their levels of self-reported knowledge, self-care, self-efficacy and adherence. Generalized estimating equations analysis was performed to assess the effects of telemonitoring during the 1-year follow-up. Corrections for baseline were performed if needed.

RESULTS

Baseline differences between groups were found for self-care (p=0.001) and self-efficacy (p=0.024). Knowledge of patients in the telemonitoring group significantly improved with 0.9 point on a 15-points scale (p<0.001). Their self-care abilities improved with 1.5 point on a 10-item scale whereas no changes were found in patients receiving usual care (p<0.001). Self-efficacy of patients in the intervention group improved significantly after 6 months yet was not significantly different after 3 months and 1 year. For patients in the intervention group adherence improved for daily weighing (p<0.001) during the whole follow-up and for fluid intake (p=0.019) after 3 months and after 12 months (p=0.086). Adherence for activity recommendations improved (p=0.023) after 3 months and importance of medication adherence increased after 6 (p=0.012) and 12 months (p=0.037). No effects were found regarding appointments, diet, smoking and use of alcohol.

CONCLUSIONS

Tailored telemonitoring was found to educate patients with HF and to improve their self-care abilities and sense of self-efficacy.

Repeated assessment of physical biomeasures or blood biomarkers for the definition of volume status and cardiac loading in LVSD

The application of biomarker technology can be usefully implemented in areas where current techniques are inadequate and where a clinical issue, which affects outcome, can be defined. The definition of the loading status of the heart where there is pre-existent impairment of contractile function is a key target. Heart failure is a complex clinical presentation with many varied etiologies, but at the essence of its successful management is the reliable definition of cardiac volume loading. Traditional and many current technological measures are applied to define this relationship, yet their accuracy and performance in individual patients is either basically inadequate or poorly understood and applied. There is a wide range of both physical measurements and blood biomarkers that can be considered to better define this key issue in patients with ventricular systolic impairment. Their performance is considered in detail in this review.

Fluid management strategies in heart failure

In patients with chronic heart failure, fluid retention (or hypervolemia) is often the stimulus for acute decompensated heart failure that requires hospitalization. The pathophysiology of fluid retention is complex and involves both hemodynamic and clinical congestion. Signs and symptoms of both hemodynamic and clinical congestion should be assessed serially during hospitalization. Core heart failure drug and cardiac device therapies should be provided, and ultrafiltration may be warranted. Critical care, intermediate care, and telemetry nurses have roles in both assessment and management of patients hospitalized with acute decompensated heart failure and fluid retention. Nurse administrators and managers have heightened their attention to fluid retention because the Medicare performance measure known as the risk-standardized 30-day all-cause readmission rate after heart failure hospitalization can be attenuated by fluid management strategies initiated by nurses during a patient's hospitalization.

The psychometric properties of the Brief Symptom Inventory depression and anxiety subscales in patients with heart failure and with or without renal dysfunction

More than 5 million Americans have heart failure (HF); approximately one third have concomitant renal dysfunction. Anxiety and depressive symptoms are the most common psychological responses of these individuals and may influences outcomes; thus a reliable valid instrument to measure these is needed. This article reports a psychometric evaluation of the Brief Symptom Inventory (BSI) depression and anxiety subscales in patients with HF and with or without renal dysfunction, as these scales are commonly used in this population for research studies. This rigorous psychometric analysis used existing data from 590 patients with HF with an average ejection fraction of 35% ± 15% and average age of 63 ± 13 years. Patients were categorized as normal renal function (n = 495) or renal dysfunction (n = 95), and groups were compared and analyzed separately. Cronbach's alpha for the BSI subscales was .82 for those with normal renal function and .88 for those with renal dysfunction. Factor analysis determined that the subscales evaluated one dimension, psychological distress, in both groups. Construct validity was examined using hypothesis testing, and construct validity was supported in patients with HF and with normal renal function by significant associations of the BSI subscales with another measure of depression and a measure of perceived control. Construct validity in patients with HF and renal dysfunction was not strongly supported. Only the BSI depression subscale predicted poorer outcomes in patients with HF and with normal renal function; neither subscale was associated with event-free survival at 12 months in those with renal dysfunction. The BSI anxiety and depression subscales provide reliable and valid data in patients HF and normal renal function. Although reliability is excellent, construct validity was weak in those patients with HF and with concomitant renal dysfunction, which may reduce the validity of those data.

Effect of a telemonitoring-facilitated collaboration between general practitioner and heart failure clinic on mortality and rehospitalization rates in severe heart failure: the TEMA-HF 1 (TElemonitoring in the MAnagement of Heart Failure) study

AIMS

Chronic heart failure (CHF) patients are frequently rehospitalized within 6 months after an episode of fluid retention. Rehospitalizations are preventable, but this requires an extensive organization of the healthcare system. In this study, we tested whether intensive follow-up of patients through a telemonitoring-facilitated collaboration between general practitioners (GPs) and a heart failure clinic could reduce mortality and rehospitalization rate.

METHODS AND RESULTS

One hunderd and sixty CHF patients [mean age 76 ± 10 years, 104 males, mean left ventricular ejection fraction (LVEF) 35 ± 15%] were block randomized by sealed envelopes and assigned to 6 months of intense follow-up facilitated by telemonitoring (TM) or usual care (UC). The TM group measured body weight, blood pressure, and heart rate on a daily basis with electronic devices that transferred the data automatically to an online database. Email alerts were sent to the GP and heart failure clinic to intervene when pre-defined limits were exceeded. All-cause mortality was significantly lower in the TM group as compared with the UC group (5% vs. 17.5%, P = 0.01). The total number of follow-up days lost to hospitalization, dialysis, or death was significantly lower in the TM group as compared with the UC group (13 vs. 30 days, P = 0.02). The number of hospitalizations for heart failure per patient showed a trend (0.24 vs. 0.42 hospitalizations/patient, P = 0.06) in favour of TM.

CONCLUSION

Telemonitoring-facilitated collaboration between GPs and a heart failure clinic reduces mortality and number of days lost to hospitalization, death, or dialysis in CHF patients. These findings need confirmation in a large trial.

A critical link between heart failure self-care and intrathoracic impedance

BACKGROUND

Effective self-care is regarded as essential to the management of heart failure (HF). The influence of self-care on HF decompensation, however, is not well understood. Accordingly, we examined the relationship between self-care and fluid accumulation accompanying worsening HF as indexed by decreasing intrathoracic impedance (Z).

METHODS

Z data were collected from 58 HF patients with OptiVol enabled devices (Medtronic Inc, Minneapolis, Minnesota). Heart failure self-care was measured with the European Heart Failure Self-care Behaviour Scale. Regression modeling was used to describe the influence of HF self-care on the likelihood of a fluid index (FI) threshold crossing, the number of threshold crossings, and number of days spent above threshold.

RESULTS

Patients were elderly (74.98 [SD, 8.12] years), with a mean left ventricular ejection fraction of 26.21% (SD, 9.77%), and 63.7% had class New York Heart Association III HF. Patients were followed up for 317 (SD, 96) days; 65.5% had FI threshold crossings (mean 1.45 [SD, 1.56] crossings), spending an average of 33.8 (SD, 42.4) days above FI threshold. Controlling for age, sex, left ventricular ejection fraction, functional class, and duration of follow-up, each additional point on the European Heart Failure Self-care Behaviour Scale was associated with an increase in the odds of having had an FI threshold crossing (adjusted odds ratio, 1.201; 95% confidence interval, 1.013-1.424; P<.05) and more days spent above FI threshold (incidence rate ratio, 1.051; 95% confidence interval, 1.002-1.102; P<.05).

CONCLUSION

Intrathoracic impedance measurements obtained from implantable devices provide important information regarding the influence of self-care on fluid accumulation in patients with HF.

Detection of preclinical body fluid retention in established heart failure patients during follow-up by a digital weight scale incorporating a bioelectrical impedance analyzer

This study examined the characteristics of asymptomatic worsening heart failure (HF) events and validated the role of a novel HF monitoring method (measuring body weight [BW] and percent body fat [BF%]) to identify such worsening HF events. A clinician determined worsening HF status by evaluating symptoms, physical signs, and pleural effusion on ultrasonography. A criterion of significant fluid weight gain was defined as BW gain ≥1.5 kg with a concomitant decrease in BF%. A total of 74 HF patients were included. During a mean follow-up of 20.8 months, 1588 visits were evaluated. A total of 79 worsening HF events occurred in 50 patients, in which worsening was symptomatic in 46 events (58%) and asymptomatic in 33 events (42%). Novel method eliminated 42 of 73 (58%) false-positive indications of worsening HF events based only on the BW criterion (≥1.5 kg) without excluding true worsening HF events. The test characteristics of this method in the diagnosis of overall HF events were sensitivity 65.8% (95% confidence interval [CI], 54.3-76.1), specificity 97.9% (95%, CI 97.1-98.6), positive predictive value 62.7% (95% CI, 51.3-73.0), and negative predictive value 98.2% (95% CI, 97.4-98.8). Preclinical fluid retention occurs frequently in established HF patients, and novel monitoring method can specifically identify preclinical worsening HF.

Symptom clusters predict event-free survival in patients with heart failure

BACKGROUND

Physical symptoms are likely to occur in clusters that may be associated with adverse outcome in patients with heart failure (HF). Despite the importance of early recognition of worsening symptoms in HF management, the impact of physical symptoms on adverse outcome has not been explored in the context of symptom clusters.

PURPOSE

The purposes of this study were to explore which physical symptom clusters occur in HF patients and to determine the impact of symptom clusters on event-free survival.

METHODS

A total of 421 patients (60% male; 62 [SD, 14] years; 72% New York Heart Association class II/III) completed the modified Memorial Symptom Assessment Scale-Heart Failure to measure physical symptoms during an index hospitalization in Seoul, Korea. Times to first event of cardiac rehospitalization and cardiac death were collected for 12 months after discharge and confirmed by review of hospital records. An agglomerative hierarchical clustering approach with Ward's method was used to identify symptom clusters. Hierarchical Cox hazard regression was used to determine the impact of symptom clusters on cardiac rehospitalization and cardiac mortality.

RESULTS

Two distinct symptom clusters, the dyspneic and the weary symptom clusters, occurred in patients with HF. Shortness of breath, difficulty breathing when lying flat, and waking up breathless at night comprised the dyspneic symptom cluster. Lack of energy, lack of appetite, and difficulty sleeping comprised the weary symptom cluster. In hierarchical Cox hazard regression, elevated distress from the weary symptom cluster independently predicted cardiac rehospitalization (hazard ratio, 1.45; 95% confidence interval, 1.09-1.93), and increased distress from the dyspneic symptom cluster independently predicted cardiac mortality (hazard ratio, 2.00; 95% confidence interval, 1.16-3.34).

CONCLUSION

The weary and the dyspneic symptom clusters predicted cardiac rehospitalization and cardiac mortality, respectively. Patient education for self-monitoring of symptoms should focus on symptom clusters rather than single symptom.

Symptom variability, not severity, predicts rehospitalization and mortality in patients with heart failure

BACKGROUND

Inability of heart failure (HF) patients to recognize worsening symptoms that herald an exacerbation is a common reason for HF readmissions.

AIMS

To examine the relationship between patterns of HF symptom variability, and HF event-free survival.

METHODS

Patients with HF (N=71) rated HF symptoms daily for 30 days. Symptoms were rated on a 10 point scale anchored at the extreme ends by "worst symptom could be" and "best symptom could be". Patients were followed for an average of 1 year to track HF and cardiac rehospitalizations and all-cause mortality.

RESULTS

Cox regression comparing event-free survival between patients who had highly variable symptom ratings across the 30-days and those whose symptoms were less variable revealed worse event-free survival in patients with more variable symptoms of shortness of breath or edema. Symptom variability predicted event-free survival independently of severity of symptoms, ejection fraction, comorbidities, age and gender. Symptom severity did not predict rehospitalization or mortality.

CONCLUSION

Regardless of symptom severity, patients whose symptoms fluctuated in an improving and worsening pattern were at substantially greater risk for poorer event-free survival. These patients may become accustomed to this pattern such that they expect symptoms to improve and thus do not seek treatment with worsening symptoms.

Self management, symptom monitoring and associated factors in people with heart failure living in the community

BACKGROUND

Regular symptom monitoring enables early detection and treatment of heart failure exacerbations, reducing preventable hospital admissions.

AIM

To determine the level of self management and frequency of symptom monitoring and factors associated in patients with moderate severity HF living in the community.

METHODS

A correlation study of a convenience sample of patients recently admitted or enrolled in treatment for heart failure were interviewed twice, one month apart, on self management and the frequency of monitoring five key heart failure symptoms.

RESULTS

Participants (n=63) had an age mean of 78.38 years (SD 8.54 years), and approximately half were male (57%) and married (56%). Daily monitoring occurred in 69.8% for peripheral oedema, 65% for weight and 41.3% for fatigue, 38.9% for dyspnea during normal activity and 28.6% for dyspnea at night or at rest. At baseline, better self management was predicted by more comorbid conditions (ss=-2.64) and stronger sense of coherence (ss=-0.24), and one month later, by the baseline self management score (ss=.65). The only predictor of symptom monitoring at one month was the frequency of monitoring at baseline (OR=9.18).

CONCLUSIONS

Neither self management nor symptom monitoring is ideal in people with HF. As these behaviours did not change with time, interventions are needed early in the illness course.

The influence of heart failure self-care on health outcomes: hypothetical cardioprotective mechanisms

Lapses in self-care are commonly cited as a major cause of poor outcomes in persons with heart failure (HF). Not surprisingly, self-care is assumed to be central to improving health outcomes in this patient population. Empirically, however, this assumption is not well supported, and mechanistically, relationships between self-care and outcomes in HF have not yet been described. In this review, it is proposed that effective self-care maintenance (adherence) and self-care management (symptom evaluation and management) practices are complementary to optimal medical management in delaying HF progression and improving health outcomes in this population. Potential mechanisms through which effective HF self-care practices are complementary to pharmacological therapy in improving outcomes include (a) facilitating partial blockade and partial deactivation of deleterious neurohormones, (b) limiting inflammatory processes, (c) decreasing the need for administration of detrimental pharmacological agents, and (d) minimizing myocardial hibernation. Because these mechanisms are hypothetical, research findings are required to establish their validity. Several strategic research questions are proposed.

Clinical assessment of heart failure: utility of symptoms, signs, and daily weights

Heart failure is a clinical syndrome defined by the presence of characteristic signs and symptoms. History taking and physical examination have particular utility in assessing patients who have heart failure. In recent years the validity of conventional signs and symptoms of heart failure has been tested in large population studies and in clinical trials, providing an evidence basis for their utility in the clinical assessment of the patient who has known or suspected heart failure. There also has been progress in characterizing the process of acute decompensation from a previously chronic stable state. This article addresses the usefulness of signs and symptoms and daily weights in the assessment and management of patients who have heart failure.