Correlates of Fatigue in Patients With Heart Failure

This study was conducted to determine the prevalence of fatigue and identify its demographic, clinical, and psychological correlates in 150 heart failure (HF) patients (73% men, 66% Caucasian, mean age 55 years, mean ejection fraction 26.7%±11%), from a single HF center, using the Profile of Mood States-Fatigue Subscale, the Minnesota Living With Heart Failure Questionnaire, and the Beck Depression Inventory. Sociodemographic and clinical data were obtained through self-report and chart abstraction. High levels of fatigue were reported in 50.4% of men and 51.2% of women. In a multivariate model, maximal workload, physical health, emotional health, and depression explained 51% of the variance in fatigue (P<.001). Fatigue in patients with HF is associated with both clinical and psychosocial variables, offering a number of targets for intervention. These findings suggest the need for multiple risk factor intervention strategies that improve physical and emotional health to decrease fatigue. Patients with depression warrant particular scrutiny

Dose-Response Relationships between Exercise Intensity, Mood States, and Quality of Life in Heart Failure Patients

BackgroundWe conducted a secondary analysis to (1) compare changes in mood disorders and quality of life (QOL) among 4 groups of patients with heart failure in a home-based exercise program who had varying degrees of change in their exercise capacity and (2) determine whether there was an association between exercise capacity, mood disorders, and QOL.MethodsSeventy-one patients were divided into 4 groups based on changes in exercise capacity from baseline to 6 months: group 1showed improvements of greater than 10% (n = 19), group 2 showed improvements of 10% or less (n = 16), group 3 showed reductions of 10% or less (n = 9), and group 4 showed reductions of greater than 10% (n = 27).ResultsOver time, patients in all 4 groups demonstrated significantly lower levels of depression and hostility (P &lt; .001) and higher levels of physical and overall quality of life (P = .046). Group differences over time were noted in anxiety (P = .009), depression (P = .015), physical quality of life (P &lt; .001), and overall quality of life (P = .002). Greater improvement in exercise capacity was strongly associated with lower depression scores (r = -0.49, P = .01).ConclusionsAn improvement in exercise capacity with exercise training was associated with a decrease in depression and anxiety and an increase in QOL in patients with heart failure

Examining Older Adults\u27 Perceptions of Usability and Acceptability of Remote Monitoring Systems to Manage Chronic Heart Failure

Objective: This study was conducted to evaluate the feasibility, usability, and acceptability of using remote monitoring systems (RMS) in monitoring health status (e.g., vital signs, symptom distress) in older adults (≥ 55) with chronic heart failure (HF). Method: Twenty-one patients (52.4% women, mean age 73.1 ± 9.3) were trained to measure and transmit health data with an RMS. Data transmissions were tracked for 12 weeks. Results: All participants initiated use of RMS within 1 week; 71%, 14%, and 14% of patients transmitted daily health data 100%, ≥ 75%, and \u3c 75% of the time, respectively, for 12 weeks. Overall usability and acceptability of the RMS were 4.08 ± 0.634 and 4.10 ± 0.563, respectively (when scored on a range of 1-5, where 1 = strongly disagree and 5 = strongly agree). Discussion: Findings show that an RMS-based intervention can be successfully implemented in a group of older patients with chronic HF

A Remote Patient Monitoring System for Congestive Heart Failure

Congestive heart failure (CHF) is a leading cause of death in the United States affecting approximately 670,000 individuals. Due to the prevalence of CHF related issues, it is prudent to seek out methodologies that would facilitate the prevention, monitoring, and treatment of heart disease on a daily basis. This paper describes WANDA (Weight and Activity with Blood Pressure Monitoring System); a study that leverages sensor technologies and wireless communications to monitor the health related measurements of patients with CHF. The WANDA system is a three-tier architecture consisting of sensors, web servers, and back-end databases. The system was developed in conjunction with the UCLA School of Nursing and the UCLA Wireless Health Institute to enable early detection of key clinical symptoms indicative of CHF-related decompensation. This study shows that CHF patients monitored by WANDA are less likely to have readings fall outside a healthy range. In addition, WANDA provides a useful feedback system for regulating readings of CHF patients