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\u27 and health providers\u27 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 \u3c .0001) and divergent (r = 0.18, P \u3e .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

Motivational Interviewing to Improve Self-Care for Patients with Chronic Heart Failure: MITI-HF Randomized Controlled Trial

OBJECTIVE: The purpose of this study was to test the efficacy of a tailored motivational interviewing (MI) intervention versus usual care for improving HF self-care behaviors, physical HF symptoms and quality of life. METHODS: This is a single-center, randomized controlled trial. Participants were enrolled in the hospital. Immediately after discharge, those in the intervention group received a single home visit and 3-4 follow-up phone calls by a nurse over 90 days. RESULTS: A total of 67 participants completed the study (mean age 62±12.8 years), of which 54% were African American, 30% were female, 84% had class III/IV symptoms, and 63% were educated at a high school level or less. There were no differences between the groups in self-care maintenance, self-care confidence, physical HF symptoms, or quality of life at 90 days. CONCLUSION: Patients who received the MI intervention had significant and clinically meaningful improvements in HF self-care maintenance over 90 days that exceeded that of usual care. PRACTICE IMPLICATIONS: These data support the use of a nurse-led MI intervention for improving HF self-care. Identifying methods to improve HF self-care may lead to improved clinical outcomes

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

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

Heart failure symptom monitoring and response training

Objective: The purpose of this study was to test the efficacy of a heart failure ( HF ) training program on patients' ability to recognize and respond to changes in HF symptoms. The primary aim was to compare event-free survival at 90 days. Methods: A total of 99 HF patients randomized to the HF symptom training intervention or usual care completed instruments about self-care ( Self-Care of HF Index ) and at baseline and 3 months. Demographic, clinical, and comorbidity data were collected by interview and chart review. Time to first event ( death or a HF-related hospitalization ) was tracked by electronic records and patient interview. Results: The sample was predominately male ( 67.7% ), elderly ( 67.7 yrs ± 12.1 ) and Caucasian ( 88.9% ). The intervention group reported more events but the difference was not significantly different ( χ2 = 1.18, p = 0.26 ). There was no difference in survival time between groups ( χ2 = 1.53, p = 0.216 ). In paired t-tests, the intervention group had significantly improved self-care maintenance, management and confidence scores ( all p < 0.01 ). The usual care group had significantly improved self-care maintenance and management ( both p < 0.01 ). Improvements in self-care maintenance and confidence were higher in the intervention group compared with usual care ( 18.0 vs. 12.9 points ). Conclusions: HF symptom awareness training appeared to have an early but not sustained benefit resulting in no difference in 90-day event-free survival. However, larger improvement in self-care maintenance and confidence scores in the intervention group compared to usual care is promising. Embedding meaningful symptom monitoring strategies in self-care maintenance interventions requires further investigation

Symptom Perception and Influencing Factors in Chinese Patients with Heart Failure: A Preliminary Exploration

A growing body of evidence supports the fact that optimal health-related quality of life is largely dependent on patient competence in symptom perception. However, many studies have reported poor symptom perception in patients with heart failure. In China, there has been no previous research on assessing the symptom perception ability of patients with heart failure. This study aimed to describe how Chinese patients with heart failure perceive their symptoms, as well as to explore their influencing factors. A theory-based, descriptive, correlational cross-sectional design was used in this study. Data on symptom perception and factors related to symptom perception were collected via structured interviews and medical records. A convenience sample of 208 hospitalized patients was enrolled. The degree of symptom perception in this study was at a high level. The results showed that the level of depression, the New York Heart Association functional class, the left ventricular ejection fraction, and educational background were identified as independent factors of symptom perception in Chinese patients with heart failure. The degree of symptom perception of patients with heart failure was affected by personal, psychological, and physiological factors. Health policy and healthcare providers should pay more attention and deepen the understanding to Chinese patients with heart failure to provide better healthcare

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.<br/

Symptom clusters of heart failure

Patients with heart failure (HF) report multiple symptoms. Change in symptoms is an indicator of HF decompensation. Patients have difficulty differentiating HF symptoms from comorbid illness or aging. The study purpose was to identify the number, type, and combination of symptoms in hospitalized HF patients and test relationships with comorbid illness and age. A secondary analysis from a HF registry (N=687) was conducted. The sample was 51.7% female, mean age 71±12.5 years. The theory of unpleasant symptoms informed the study regarding the multidimensional nature of symptoms. Factor analysis of 9 items from the Minnesota Living with HF Questionnaire resulted in three factors, acute and chronic volume overload and emotional distress. Clusters occurred more frequently in older patients, but caused less impact