Determinants of Heart Failure Self-Care Maintenance and Management in Patients and Caregivers: A Dyadic Analysis

Disease self-management is a critical component of maintaining clinical stability for patients with chronic illness. This is particularly evident in the context of heart failure (HF), which is the leading cause of hospitalization for older adults. HF self-management, commonly known as HF self-care, is often performed with the support of informal caregivers. However, little is known about how a HF dyad manages the patient\u27s care together. The purpose of this study was to identify determinants of patient and caregiver contributions to HF self-care maintenance (daily adherence and symptom monitoring) and management (appropriate recognition and response to symptoms), utilizing an approach that controls for dyadic interdependence. This was a secondary analysis of cross-sectional data from 364 dyads of Italian HF patients and caregivers. Multilevel modeling was used to identify determinants of HF self-care within patient-caregiver dyads. Patients averaged 76.2 (SD = 10.7) years old, and a slight majority (56.9%) was male, whereas caregivers averaged 57.4 (SD = 14.6) years old, and about half (48.1%) were male. Most caregivers were adult children (48.4%) or spouses (32.7%) of patients. Both patients and caregivers reported low levels of HF maintenance and management behaviors. Significant individual and dyadic determinants of self-care maintenance and self-care management included gender, quality of life, comorbid burden, impaired ADLs, cognition, hospitalizations, HF duration, relationship type, relationship quality, and social support. These comprehensive dyadic models assist in elucidating the complex nature of patient-caregiver relationships and their influence on HF self-care, leading to more effective ways to intervene and optimize outcomes

A Dyadic Approach to Managing Heart Failure with Confidence

Background: The majority of heart failure (HF) self-care research remains focused on patients, despite the important involvement of family caregivers. Although self-care confidence has been found to play an important role in the effectiveness of HF self-care management on patient outcomes, no known research has examined self-care confidence within a dyadic context. Objective: The purpose of this study was to identify individual and dyadic determinants of self-care confidence in HF care dyads. Methods: Multilevel modeling, which controls for the interdependent nature of dyadic data, was used to examine 329 Italian HF dyads (caregivers were either spouses or adult children). Results: Both patients and caregivers reported lower-than-adequate levels of confidence, with caregivers reporting slightly higher confidence than patients. Patient and caregiver levels of confidence were significantly associated with greater patient-reported relationship quality and better caregiver mental health. Patient confidence in self-care was significantly associated with patient female gender, nonspousal care dyads, poor caregiver physical health, and low care strain. Caregiver confidence to contribute to self-care was significantly associated with poor emotional quality of life in patients and greater perceived social support by caregivers. Conclusions: Findings are supportive of the need for a dyadic perspective of HF self-care in practice and research as well as the importance of addressing the needs of both members of the dyad to maximize optimal outcomes for both

Identifying a relationship between physical frailty and heart failure symptoms

Background: Heart failure (HF) is a complex clinical syndrome associated with significant symptom burden; however, our understanding of the relationship between symptoms and physical frailty in HF is limited. Objective: The aim of this study was to quantify associations between symptoms and physical frailty in adults with HF. Methods: A sample of adults with symptomatic HF were enrolled in a cross-sectional study. Physical symptoms were measured with the HF Somatic Perception Scale–Dyspnea subscale, the Epworth Sleepiness Scale, and the Brief Pain Inventory short form. Affective symptoms were measured with the Patient Health Questionnaire-9 and the Brief Symptom Inventory–Anxiety scale. Physical frailty was assessed according to the Frailty Phenotype Criteria: shrinking, weakness, slowness, physical exhaustion, and low physical activity. Comparative statistics and generalized linear modeling were used to quantify associations between symptoms and physical frailty, controlling for Seattle HF Model projected 1-year survival. Results: The mean age of the sample (n = 49) was 57.4 ± 9.7 years, 67% were male, 92% had New York Heart Association class III/IV HF, and 67% had nonischemic HF. Physically frail participants had more than twice the level of dyspnea (P < .001), 75% worse wake disturbances (P < .001), and 76% worse depressive symptoms (P = .003) compared with those who were not physically frail. There were no differences in pain or anxiety. Conclusions: Physically frail adults with HF have considerably worse dyspnea, wake disturbances, and depression. Targeting physical frailty may help identify and improve physical and affective symptoms in HF

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

Identifying a Relationship Between Physical Frailty and Heart Failure Symptoms

Background: Heart failure (HF) is a complex clinical syndrome associated with significant symptom burden; however, our understanding of the relationship between symptoms and physical frailty in HF is limited. Objective: The aim of this study was to quantify associations between symptoms and physical frailty in adults with HF. Methods: A sample of adults with symptomatic HF were enrolled in a cross-sectional study. Physical symptoms were measured with the HF Somatic Perception Scale–Dyspnea subscale, the Epworth Sleepiness Scale, and the Brief Pain Inventory short form. Affective symptoms were measured with the Patient Health Questionnaire-9 and the Brief Symptom Inventory–Anxiety scale. Physical frailty was assessed according to the Frailty Phenotype Criteria: shrinking, weakness, slowness, physical exhaustion, and low physical activity. Comparative statistics and generalized linear modeling were used to quantify associations between symptoms and physical frailty, controlling for Seattle HF Model projected 1-year survival. Results: The mean age of the sample (n = 49) was 57.4 ± 9.7 years, 67% were male, 92% had New York Heart Association class III/IV HF, and 67% had nonischemic HF. Physically frail participants had more than twice the level of dyspnea (P < .001), 75% worse wake disturbances (P < .001), and 76% worse depressive symptoms (P = .003) compared with those who were not physically frail. There were no differences in pain or anxiety. Conclusions: Physically frail adults with HF have considerably worse dyspnea, wake disturbances, and depression. Targeting physical frailty may help identify and improve physical and affective symptoms in HF

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

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

Device-detected congestion is associated with worse patient-reported outcomes in heart failure

Background Congestion is a common cause of symptoms in heart failure (HF). Yet, intrathoracic impedance, an objective marker of cardiopulmonary congestion, has not been examined in relation to HF symptoms. Objective To determine whether device-detected cardiopulmonary congestion is a predictor of physical and psychological symptoms and health-related quality of life (HRQOL) in adults with HF over 3 months. Methods Multivariate generalized linear modeling was used to quantify the association of cardiopulmonary congestion (Optivol® Index exceeding 60 Ω threshold) with HRQOL (12-item Kansas City Cardiomyopathy Questionnaire) and both physical symptoms (Functional Assessment of Chronic Illness Therapy-Fatigue Scale; HF Somatic Perception Scale Dyspnea and Early & Subtle Symptoms subscales) and affective symptoms (9-item Patient Health Questionnaire; 6-item Patient-Reported Outcomes Measurement Information System Anxiety Scale). Results The mean age of the sample (n = 49) was 62years old, 39% were women, and 63% had NYHA class III/IV HF. Participants who experienced threshold crossings in the previous 90days reported on average, 130% higher dyspnea (p = 0.017; confidence interval (CI) 10.2%, 437%), 40% higher early & subtle symptoms (p = 0.029; CI 3.4%, 89.7%), 106% higher depressive symptoms (p = 0.003; CI 19.1%, 257%) and 40% higher anxiety (p = 0.028; CI 3.7%, 89.1%). Threshold crossings in the previous 90days were also significantly associated with a clinically meaningful decrease in HRQOL (β = −16.16 ± 6.32; p = 0.01). Conclusions Intrathoracic impedance measured with the Optivol Index can provide additional information regarding the patient experience of hallmark physical and psychological HF symptoms and HRQOL over 3months

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