Since the situation-specific theory of heart failure (HF) self-care was published in 2008, we have learned much about how and why patients with HF take care of themselves. This knowledge was used to revise and update the theory. The purpose of this article was to describe the revised, updated situation-specific theory of HF self-care. Three major revisions were made to the existing theory: (1) a new theoretical concept reflecting the process of symptom perception was added; (2) each self-care process now involves both autonomous and consultative elements; and (3) a closer link between the self-care processes and the naturalistic decision-making process is described. In the revised theory, HF self-care is defined as a naturalistic decision-making process with person, problem, and environmental factors that influence the everyday decisions made by patients and the self-care actions taken. The first self-care process, maintenance, captures those behaviors typically referred to as treatment adherence. The second self-care process, symptom perception, involves body listening, monitoring signs, as well as recognition, interpretation, and labeling of symptoms. The third self-care process, management, is the response to symptoms when they occur. A total of 5 assumptions and 8 testable propositions are specified in this revised theory. Prior research illustrates that all 3 self-care processes (ie, maintenance, symptom perception, and management) are integral to self-care. Further research is greatly needed to identify how best to help patients become experts in HF self-care.

Background/Aim: Pathological processes associated with aging increase the risk of cognitive deficits. Frailty syndrome may significantly accelerate these pathological processes in elderly patients with heart failure. The objective of this review was to better understand the association between frailty syndrome and co-occurring cognitive decline in patients with heart failure.Methods: We conducted a systematic review based on PubMed/MEDLINE, Scopus, EMBASE, and CINAHL as databases. The search followed the method described by Webb and Roe. For inclusions, the studies were selected employing cross-sectional and longitudinal designs. The included studies had to evaluate frailty syndrome and cognitive impairments among participants with heart failure. As we were interested in older adults, the search was limited to individuals >65 years of age. The search was limited to primary research articles written in English published since the year 2000.Results: Of the 1,245 studies retrieved by the systematic review, 8 relevant studies were enclosed for the full-text review. Our review revealed that most studies of patients with HF demonstrated evidence of an association between greater frailty and cognitive impairment. In particular, six studies reported evidence for the significant association between higher levels of frailty and cognitive impairment in patients with heart failure. The remaining two studies failed to find an association between frailty and cognitive impairment.Conclusions: The development of frailty and cognitive impairment in heart failure is particularly important because this cardiovascular disease is a common cause of both morbidity and mortality in the world. The results of this review fill the existing gap in the literature related to the identification of clinical factors linked with frailty syndrome that contribute to cognitive impairment in patients with a diagnosis of heart failure. The prevalence of overlapping frailty and cognitive impairment in patients with heart failure, therefore, necessitates a routine assessment of these components in the care of patients with cardiovascular disease.

Self-care behaviors are essential for the effective treatment of heart failure (HF), and poor self-care may lead to adverse clinical events in patients with HF. A growing body of literature addresses the need to analyze the characteristics of both patient and caregiver since they are in mutual, long-term interaction, and their reactions to events are dependent on each other. One of the most common approaches for analyzing data on HF self-care dyads is the Actor–Partner Interdependence Model (APIM). The purpose of this study was to conduct a scoping review to answer the following question: what did we learn from HF dyadic studies based on the APIM approach? Medline, Academic Search Ultimate, and CINAHL Complete databases were searched, using the terms “dyad,” “dyadic,” and “heart failure,” for studies published between 2009 and April 2021. Fifteen studies were reviewed from a pool of 106 papers. Studies using the APIM approach revealed interrelated patient and caregiver characteristics that influence self-care and explain many complex dyadic behaviors. Our analysis provided evidence that (1) APIM is a useful analytical approach; (2) a family-oriented approach can improve the functioning of a patient with HF; and (3) social support from caregivers significantly enhances patients’ adaptation to illness.

Background: Cognitive impairment is prevalent in heart failure and is associated with higher mortality rates. The mechanism behind cognitive impairment in heart failure with preserved ejection fraction (HFpEF) has not been established. Objective: The aim of this study was to evaluate associations between abnormal cardiac hemodynamics and cognitive impairment in individuals with HFpEF. Methods: A secondary analysis of Atherosclerosis Risk in Communities (Atherosclerosis Risk in Communities) study data was performed. Participants free of stroke or dementia who completed in-person assessments at visit 5 were included. Neurocognitive test scores among participants with HFpEF, heart failure with reduced ejection fraction (HFrEF), and no heart failure were compared. Sociodemographics, comorbid illnesses, medications, and echocardiographic measures of cardiac function that demonstrated significant (P < .10) bivariate associations with neurocognitive test scores were included in multivariate models to identify predictors of neurocognitive test scores among those with HFpEF. Multiple imputation by chained equations was used to account for missing values. Results: Scores on tests of attention, language, executive function, and global cognitive function were worse among individuals with HFpEF than those with no heart failure. Neurocognitive test scores were not significantly different among participants with HFpEF and HFrEF. Worse diastolic function was weakly associated with worse performance in memory, attention, and language. Higher cardiac index was associated with worse performance on 1 test of attention. Conclusions: Cognitive impairment is prevalent in HFpEF and affects several cognitive domains. The current study supports the importance of cognitive screening in patients with heart failure. An association between abnormal cardiac hemodynamics and cognitive impairment was observed, but other factors are likely involved.

Background: Little is known about frailty among patients hospitalized with heart failure (HF). To date, the limited information on frailty in HF is based on a unidimensional view of frailty, in which only physical aspects are considered when determining frailty. The aims of this study were to study different dimensions of frailty (physical, psychological and social) in patients with HF and the effect of different dimensions of frailty on the incidence of heart failure. Methods: The study used a cross-sectional design and included 965 patients hospitalized for heart failure and 164 healthy controls. HF was defined according to the ESC guidelines. The Tilburg Frailty Indicator (TFI) was used to assess frailty. Probit regression analyses and chi-square statistics were used to examine associations between the occurrence of heart failure and TFI domains of frailty. Results: Patients diagnosed with frailty were 15.3% more likely to develop HF compared to those not diagnosed with frailty (p < 0.001). An increase in physical, psychological and social frailty corresponded to an increased risk of HF of 2.9% (p < 0.001), 4.4% (p < 0.001) and 6.6% (p < 0.001), respectively. Conclusions: We found evidence of the association between different dimensions of frailty and incidence of HF.