Depressive Symptoms and Incident Hospitalization for Heart Failure: Findings From the REGARDS Study

Prognostic Value of Depressive Symptoms for Cardiovascular Events in Female Patients With Heart Failure With Reduced Ejection Fraction and Heart Failure With Preserved Ejection Fraction

BACKGROUND

Among those with heart failure (HF), women are more likely to develop depression than men. Few studies have focused on the outcomes of female patients with HF with depressive symptoms.

METHODS AND RESULTS

A total of 506 female patients with HF with preserved ejection fraction were included in this secondary analysis from the TOPCAT (Treatment of Preserved Cardiac Function Heart Failure With an Aldosterone Antagonist) cohort, and 439 female patients with HF with reduced ejection fraction were included from the HF-ACTION (Heart Failure: A Controlled Trial Investigating Outcomes of Exercise Training) cohort. Depressive symptoms were measured using the Patient Health Questionnaire-9 and Beck Depression Inventory-II. The depression class was categorized by severity, and the change in clinical depression class was defined as aggravated (1-grade increase) or improved (1-grade decrease). The prognostic value of depressive symptoms was determined by using multivariable Cox proportional hazards models. Female patients with improved depressive symptoms had worse depressive status at baseline and lower baseline Kansas City Cardiomyopathy Questionnaire scores. Depression class at the 12-month visit and depression class change were the dominant prognostic factors for cardiovascular death in female patients with HF with preserved ejection fraction (hazard ratio [HR], 1.43 [95% CI, 1.02-2.01], P=0.036; HR, 1.71 [95% CI, 1.14-2.55], P=0.009). Among the patients with HF with reduced ejection fraction, both the depression class at baseline and depression class change had significant prognostic effects on cardiovascular death (HR, 3.30 [95% CI, 1.70-6.39], P<0.001; HR, 2.21 [95% CI, 1.28-3.80], P=0.004). However, the prognostic value of depressive assessments for hospitalization in patients with HF is unclear.

CONCLUSIONS

In female patients with HF with reduced ejection fraction, the depression class at baseline was most strongly associated with cardiovascular death, whereas in female patients with HF with preserved ejection fraction, the change in depression class exhibited a more significant prognostic trend.

Physical Symptoms, Depressive Symptoms, and Quality of Life in Patients With Heart Failure: Cluster Analysis

BACKGROUND

Physical and psychological symptoms are prevalent in patients with heart failure (HF) and are associated with poor quality of life (QOL) and high hospitalization rates. Thus, it is critical to identify symptom clusters to better manage patients with high-risk symptom cluster(s) and to reduce adverse effects.

OBJECTIVE

The aims of this study were to identify clusters of physical HF symptoms (ie, dyspnea during daytime, dyspnea when lying down, fatigue, chest pain, edema, sleeping difficulty, and dizziness) and depressive symptoms and to examine their association with QOL in patients with HF.

METHODS

In this secondary analysis of a cross-sectional study, data on physical HF symptoms (Symptom Status Questionnaire), depressive symptoms (Patient Health Questionnaire-9), and general QOL (European Quality of Scale-Visual Analog Scale) were collected. We identified clusters based on the physical HF symptoms and depressive symptoms using 2-step and k -means cluster analysis methods.

RESULTS

Chest pain was removed from the model because of the low importance value. Two clusters were revealed (cluster 1, severe symptom cluster, vs cluster 2, less severe symptom cluster) based on the 7 symptoms. In cluster 1, all of the 7 symptoms were more severe, and QOL was poorer than those in cluster 2 (all P s < .001). All the mean and median scores of the 7 symptoms in cluster 1 were higher than those in cluster 2.

CONCLUSIONS

Patients with HF were clearly divided into 2 clusters based on physical HF symptoms and depressive symptoms, which were associated with QOL. Clinicians should assess these symptoms to improve patient outcomes.