OBJECTIVE: The purpose of this paper is to review the literature on the impact of antidepressants on depressive symptom severity, quality of life (QoL), morbidity, and mortality in patients with heart failure (HF). METHODS: Following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) Reporting Items for Systematic Reviews and Meta-Analyses guidelines, studies published from December 1969 to December 2019 that pertain to depression and HF were identified through the use of the PubMed and PsycINFO databases, using the keywords: antidepressant* and heart failure. Two authors independently conducted a focused analysis and reached a final consensus on 17 studies that met the specific selection criteria and passed the study quality checks. RESULTS: Studies varied in types of antidepressants used as well as in study designs. Ten studies were analyzed for the impact of antidepressant medications on depressive symptom severity. Five of these were randomized controlled trials (RCTs), out of which sertraline and paroxetine showed a significant reduction in depressive symptoms despite the small samples utilized. Four of the 17 studies addressed QoL as part of their outcomes showing no difference for escitalopram (RCT), significantly greater improvements for paroxetine controlled release (RCT), statistical significance for sertraline compared to control (pilot study), and showing significant improvement before and after treatment (open-label trial) for nefazodone. Thirteen of the 17 studies included measures of morbidity and mortality. Although early analyses have pointed to an association of antidepressant use and mortality particularly with fluoxetine, the reviewed studies showed no increase in mortality for antidepressants, and secondary analyses showed improved mortality in patients who achieved remission of depressive symptoms. CONCLUSION: Out of the various antidepressants studied, which included sertraline, paroxetine, escitalopram, citalopram, bupropion, nefazodone, and nortriptyline, selective serotonin reuptake inhibitors seem to be a safe treatment option for patients with depression and HF. However, due to the variety of study designs as well as the mixed results for each antidepressant, more information for reducing depression severity, morbidity, and mortality and improving quality of life in patients with HF should be examined using robust large sample RCTs.

Objective: This paper sought to identify the instruments used to measure depression in heart failure (HF) and elucidate the impact of treatment interventions on depression in HF. Methods: The Preferred Reporting Items for Systematic Reviews and Meta-analyses guidelines were followed. Studies published from 1988 to 2018 covering depression and HF were identified through the review of the PubMed and PsycINFO databases using the keywords: "depres*" AND "heart failure." Two authors independently conducted a focused analysis, identifying 27 studies that met the specific selection criteria and passed the study quality checks. Results: Patient-reported questionnaires were more commonly adopted than clinician-rated questionnaires, including the Beck Depression Inventory, the Patient Health Questionnaire (PHQ-9), and the Hospital Anxiety and Depression Scale. Six common interventions were observed: antidepressant medications, collaborative care, psychotherapy, exercise, education, and other nonpharmacological interventions. Except for paroxetine, selective serotonin reuptake inhibitors failed to show a significant difference from placebo. However, the collaborative care model including the use of antidepressants showed a significant decrease in PHQ-9 score after one year. All of the psychotherapy studies included a variation of cognitive behavioral therapy and patients showed significant improvements. The evidence was mixed for exercise, education, and other nonpharmacological interventions. Conclusion: This study suggests which types of interventions are more effective in addressing depression in heart failure patients.

Background

Noninvasive telemonitoring and nurse telephone coaching (NTM-NTC) is a promising postdischarge strategy in heart failure (HF). Comorbid conditions and disease burden influence health outcomes in HF, but how comorbidity burden modulates the effectiveness of NTM-NTC is unknown. This study aims to identify patients with HF who may benefit from postdischarge NTM-NTC based on their burden of comorbidity.

Methods and results

In the Better Effectiveness After Transition - Heart Failure trial, patients hospitalized for acute decompensated HF were randomized to postdischarge NTM-NTC or usual care. In this secondary analysis of 1313 patients with complete data, comorbidity burden was assessed by scoring complication and coexisting diagnoses from index admissions. Clinical outcomes included 30-day and 180-day readmissions, mortality, days alive, and combined days alive and out of the hospital. Patients had a mean of 5.7 comorbidities and were stratified into low (0-2), moderate (3-8), and high comorbidity (≥9) subgroups. Increased comorbidity burden was associated with worse outcomes. NTM-NTC was not associated with readmission rates in any comorbidity subgroup. Among high comorbidity patients, NTM-NTC was associated with significantly lower mortality at 30 days (hazard ratio 0.25, 95% confidence interval 0.07-0.90) and 180 days (hazard ratio 0.51, 95% confidence interval 0.27-0.98), as well as more days alive (160.1 vs 140.3, P = .029) and days alive out of the hospital (152.0 vs 133.2, P = .044) compared with usual care.

Conclusions

Postdischarge NTM-NTC improved survival among patients with HF with a high comorbidity burden. Comorbidity burden may be useful for identifying patients likely to benefit from this management strategy.

Objectives

Heart Failure is a chronic syndrome affecting over 5.7 million in the US and 26 million adults worldwide with nearly 50% experiencing depressive symptoms. The objective of the study is to compare the effects of two evidence-based treatment options for adult patients with depression and advanced heart failure, on depressive symptom severity, physical and mental health related quality of life (HRQoL), heart-failure specific quality of life, caregiver burden, morbidity, and mortality at 3, 6 and 12-months.

Methods

Trial design. Pragmatic, randomized, comparative effectiveness trial. Interventions. The treatment interventions are: (1) Behavioral Activation (BA), a patient-centered psychotherapy which emphasizes engagement in enjoyable and valued personalized activities as selected by the patient; or (2) Antidepressant Medication Management administered using the collaborative care model (MEDS). Participants. Adults aged 18 and over with advanced heart failure (defined as New York Heart Association (NYHA) Class II, III, and IV) and depression (defined as a score of 10 or above on the PHQ-9 and confirmed by the MINI International Neuropsychiatric Interview for the DSM-5) selected from all patients at Cedars-Sinai Medical Center who are admitted with heart failure and all patients presenting to the outpatient programs of the Smidt Heart Institute at Cedars-Sinai Medical Center. We plan to randomize 416 patients to BA or MEDS, with an estimated 28% loss to follow-up/inability to collect follow-up data. Thus, we plan to include 150 in each group for a total of 300 participants from which data after randomization will be collected and analyzed.

Conclusions

The current trial is the first to compare the impact of BA and MEDS on depressive symptoms, quality of life, caregiver burden, morbidity, and mortality in patients with depression and advanced heart failure. The trial will provide novel results that will be disseminated and implemented into a wide range of current practice settings.

Registration

ClinicalTrials.Gov Identifier: NCT03688100.

Importance

It remains unclear whether telemonitoring approaches provide benefits for patients with heart failure (HF) after hospitalization.

Objective

To evaluate the effectiveness of a care transition intervention using remote patient monitoring in reducing 180-day all-cause readmissions among a broad population of older adults hospitalized with HF.

Design, setting, and participants

We randomized 1437 patients hospitalized for HF between October 12, 2011, and September 30, 2013, to the intervention arm (715 patients) or to the usual care arm (722 patients) of the Better Effectiveness After Transition-Heart Failure (BEAT-HF) study and observed them for 180 days. The dates of our study analysis were March 30, 2014, to October 1, 2015. The setting was 6 academic medical centers in California. Participants were hospitalized individuals 50 years or older who received active treatment for decompensated HF.

Interventions

The intervention combined health coaching telephone calls and telemonitoring. Telemonitoring used electronic equipment that collected daily information about blood pressure, heart rate, symptoms, and weight. Centralized registered nurses conducted telemonitoring reviews, protocolized actions, and telephone calls.

Main outcomes and measures

The primary outcome was readmission for any cause within 180 days after discharge. Secondary outcomes were all-cause readmission within 30 days, all-cause mortality at 30 and 180 days, and quality of life at 30 and 180 days.

Results

Among 1437 participants, the median age was 73 years. Overall, 46.2% (664 of 1437) were female, and 22.0% (316 of 1437) were African American. The intervention and usual care groups did not differ significantly in readmissions for any cause 180 days after discharge, which occurred in 50.8% (363 of 715) and 49.2% (355 of 722) of patients, respectively (adjusted hazard ratio, 1.03; 95% CI, 0.88-1.20; P = .74). In secondary analyses, there were no significant differences in 30-day readmission or 180-day mortality, but there was a significant difference in 180-day quality of life between the intervention and usual care groups. No adverse events were reported.

Conclusions and relevance

Among patients hospitalized for HF, combined health coaching telephone calls and telemonitoring did not reduce 180-day readmissions.

Trial registration

clinicaltrials.gov Identifier: NCT01360203.