Depression and Multiple Rehospitalizations in Patients With Heart Failure

Low Rates of Psychotherapy Referrals in Patients With Heart Failure With Depression

BACKGROUND

Depression is common among patients with heart failure (HF) and can impact patients' outcomes. In this study, we evaluated the rates of psychotherapy referrals for patients with HF with depression.

METHODS AND RESULTS

Using the National Ambulatory Medical Care Survey from 2008 to 2018, we examined visits for patients with depression and concurrent HF or coronary artery disease. We estimated the likelihood of referral for psychotherapy using survey weights to provide nationally representative estimates. Among 1797 visits for patients with HF or coronary artery disease and depression, only 9.4% (95% confidence interval 7.2%-12.2%) were referred for psychotherapy, including mental health counseling and stress management. Rates of referral were lowest among patients with depression and HF at 7.5% (95% confidence interval 4.1%-13.2%). The odds of referral decreased over the years from 2008 to 2018 (odds ratio per additional year 0.87, 95% confidence interval 0.77-0.98, P = .022), with referral rates in 2008 of 12.8% compared with 4.8% in 2018.

CONCLUSIONS

In this nationally representative study of ambulatory visits, patients with HF and depression were referred for psychotherapy in only 7.5% of visits and referral rates have decreased over the years. Magnifying the value of psychotherapy and increasing referral rates are essential steps to improve care for patients with HF with depression.

Depression Subtypes in Systolic Heart Failure: A Secondary Analysis From a Randomized Controlled Trial

BACKGROUND

Heart failure (HF) is associated with an elevated risk of morbidity, mortality, hospitalization, and impaired quality of life. One potential contributor to these poor outcomes is depression. Yet the effectiveness of treatments for depression in patients with HF is mixed, perhaps due to the heterogeneity of depression.

METHODS

This secondary analysis applied latent class analysis (LCA) to data from a clinical trial to classify patients with systolic HF and comorbid depression into LCA subtypes based on depression symptom severity, and then examined whether these subtypes predicted treatment response and mental and physical health outcomes at 12 months follow-up.

RESULTS

In LCA of 629 participants (mean age 63.6 ± 12.9; 43% females), we identified 4 depression subtypes: mild (prevalence 53%), moderate (30%), moderately severe (12%), and severe (5%). The mild subtype was characterized primarily by somatic symptoms of depression (e.g., energy loss, sleep disturbance, poor appetite), while the remaining LCA subtypes additionally included nonsomatic symptoms of depression (e.g., depressed mood, anhedonia, worthlessness). At 12 months, LCA subtypes with more severe depressive symptoms reported significantly greater improvements in mental quality of life and depressive symptoms compared to the LCA mild subtype, but the incidence of cardiovascular- and noncardiovascular-related readmissions, and mortality was similar among all subtypes.

CONCLUSIONS

In patients with depression and systolic heart failure those with the LCA mild depression subtype may not meet full criteria for major depressive disorder, given the overlap between HF and somatic symptoms of depression. We recommend requiring depressed mood or anhedonia as a necessary symptom for major depressive disorder in patients with HF.

DASH-HF Study: A Pragmatic Quality Improvement Randomized Implementation Trial for Patients With Heart Failure With Reduced Ejection Fraction

BACKGROUND

Heart failure is a prevailing diagnosis of hospitalization and readmission within 6 months, and nearly a quarter of these patients die within a year. Guideline-directed medication therapies reduce risk of mortality by 73% over 2 years; however, the implementation of these therapies to their target dose in clinical practice continues to be challenging. In 2020, the Veterans Affairs (VA) Health Care System developed a HF dashboard to monitor and improve outpatient HF management. The DASH-HF (Dashboard Activated Services and Telehealth for Heart Failure) study is a randomized, pragmatic clinical trial to evaluate proactive dashboard-directed telehealth clinics to improve the use and dosing of guideline-directed medication therapy for patients with heart failure with reduced ejection fraction not on optimal guideline-directed medication therapy within the VA.

METHODS

Three hundred veterans with heart failure with reduced ejection fraction met inclusion criteria with an optimization potential score (OPS) of 5 or less out of 10, representing nonoptimal guideline-directed medication therapy. The primary outcome was a composite score of guideline-directed medical therapy, the OPS, 6 months after the end of the intervention. Secondary outcomes included active prescriptions for each individual guideline-directed medical therapy class, HF-related hospitalizations, deaths, and clinician time per patient during the intervention clinics.

RESULTS

There was no significant difference between the intervention arm and usual care group in the primary outcome (OPS, 2.9; SD=2.1 versus OPS, 2.6, SD=2.1); adjusted mean difference 0.3 (95% CI, -0.1 to 0.7) or in the prespecified secondary outcomes for hospitalization and all-cause mortality for the intervention of proactive dashboard-based clinics.

CONCLUSIONS

A dashboard-based clinic intervention did not improve the OPS or secondary outcomes of hospitalization and all-cause mortality. There remains a larger opportunity to better target patients and provide more intensive follow-up to further evaluate the utility of proactive dashboard-based clinics for HF management and quality improvement.

REGISTRATION

URL: https://www.

CLINICALTRIALS

gov; Unique identifier: NCT05001165.

Treatment of depression and inadequate self-care in patients with heart failure: One-year outcomes of a randomized controlled trial

OBJECTIVE

Both depression and inadequate self-care are common in patients with heart failure. This secondary analysis examines the one-year outcomes of a randomized controlled trial of a sequential approach to treating these problems.

METHODS

Patients with heart failure and major depression were randomly assigned to usual care (n = 70) or to cognitive behavior therapy (n = 69). All patients received a heart failure self-care intervention starting 8 weeks after randomization. Patient-reported outcomes were assessed at Weeks 8, 16, 32, and 52. Data on hospital admissions and deaths were also obtained.

RESULTS

One year after randomization, Beck Depression Inventory (BDI-II) scores were - 4.9 (95% C.I., -8.9 to -0.9; p < .05) points lower in the cognitive therapy than the usual care arm, and Kansas City Cardiomyopathy scores were 8.3 (95% C.I., 1.9 to 14.7; p < .05) points higher. There were no differences on the Self-Care of Heart Failure Index or in hospitalizations or deaths.

CONCLUSIONS

The superiority of cognitive behavior therapy relative to usual care for major depression in patients with heart failure persisted for at least one year. Cognitive behavior therapy did not increase patients' ability to benefit from a heart failure self-care intervention, but it did improve HF-related quality of life during the follow-up period.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier NCT02997865.

Consequences of Psychological Aspects: From Jordanian Heart Failure Patients' Beliefs

Introduction

Psychological aspects are common in patients with heart failure (HF). Psychological aspects have negative consequences in patients with HF.

Objective

This study was conducted to gain a deeper understanding of the consequences of psychological aspects in Jordanian patients with HF.

Methods

This study is a qualitative study conducted with the participation of 24 patients with HF. Data were collected using semi-structured interviews.

Results

The main theme of the findings can be expressed as "Consequences of psychological aspects of HF." The following four sub-themes emerged from the data: social isolation, disturbance of feelings, being non-compliant, and growing burden on the health care system.

Conclusion

The findings revealed the need for informing healthcare providers about the negative consequences of psychological aspects and develop clinical guidelines to evaluate psychological aspects to support these patients.

Influence of Neighborhood Conditions on Recurrent Hospital Readmissions in Patients with Heart Failure: A Cohort Study

PURPOSE

This study examined how certain aspects of residential neighborhood conditions (ie, observed built environment, census-based area-level poverty, and perceived disorder) affect readmission in urban patients with heart failure.

METHODS

A total of 400 patients with heart failure who were discharged alive from an urban-university teaching hospital were enrolled. Data were collected about readmissions during a 2-year follow-up. The impact of residential neighborhood conditions on readmissions was examined with adjustment for 7 blocks of covariates: 1) patient demographic characteristics; 2) comorbidities; 3) clinical characteristics; 4) depression; 5) perceived stress; 6) health behaviors; and 7) hospitalization characteristics.

RESULTS

A total of 83.3% of participants were readmitted. Participants from high-poverty census tracts (≥20%) were at increased risk of readmission compared with those from census tracts with <10% poverty (hazard ratio [HR]: 1.53; 95% confidence interval: 1.03-2.27; P < .05) when adjusted for demographic characteristics. None of the built environmental or perceived neighborhood conditions were associated with the risk of readmission. The poverty-related risk of readmission was reduced to nonsignificance after including diabetes (HR: 1.33) and hypertension (HR: 1.35) in the models.

CONCLUSIONS

The effect of high poverty is partly explained by high rates of hypertension and diabetes in these areas. Improving diabetes and blood pressure control or structural aspects of impoverished areas may help reduce hospital readmissions.

Sequential Interventions for Major Depression and Heart Failure Self-Care: A Randomized Clinical Trial

BACKGROUND

Major depression and inadequate self-care are common in patients with heart failure (HF). Little is known about how to intervene when both problems are present. This study examined the efficacy of a sequential approach to treating these problems.

METHODS

Stepped Care for Depression in HF was a single-site, single-blind, randomized controlled trial of cognitive behavior therapy (CBT) versus usual care (UC) for major depression in patients with HF. The intensive phase of the CBT intervention lasted between 8 and 16 weeks, depending upon the rate of improvement in depression. All participants received a tailored HF self-care intervention that began 8 weeks after randomization. The intensive phase of the self-care intervention ended at 16 weeks post-randomization. The coprimary outcome measures were the Beck Depression Inventory (version 2) and the Maintenance scale of the Self-Care of HF Index (v6.2) at week 16.

RESULTS

One hundred thirty-nine patients with HF and major depression were enrolled; 70 were randomized to UC and 69 to CBT. At week 16, the patients in the CBT arm scored 4.0 points ([95% CI, -7.3 to -0.8]; P=0.02) lower on the Beck Depression Inventory, version 2 than those in the usual care arm. Mean scores on the Self-Care of HF Index Maintenance scale were not significantly different between the groups ([95% CI, -6.5 to 1.5]; P=0.22).

CONCLUSIONS

CBT is more effective than usual care for major depression in patients with HF. However, initiating CBT before starting a tailored HF self-care intervention does not increase the benefit of the self-care intervention.

REGISTRATION

URL: https://www.

CLINICALTRIALS

gov; Unique identifier: NCT02997865.

Predicting 31- to 60-Day Heart Failure Rehospitalization Among Older Women

The current study sought to identify social, hemodynamic, and comorbid risk factors associated with 31-to 60-day heart failure (HF) rehospitalization in African American and Caucasian older (aged >65 years) women. A non-equivalent, case-control, quantitative design study using secondary data analysis of medical records from a local community hospital in the Southeast region of the United States was performed over a 3-year period. Relationships between predictor variables and the outcome variable, 31- to 60-day HF rehospitalization, were explored. The full model containing all predictors was not able to distinguish between predictors (χ²[21, N = 188] = 35.77, p = 0.12). However, a condensed model showed that body mass index (BMI) level 1 (<25 kg/m²), BMI level 2 (>25 and <30 kg/m²), age 75 to 80 years, and those taking lipid-lowering agents were significant predictors. Subtype of HF (reduced or preserved) and race did not predict HF rehospitalization within the specified time period. Multiple comorbid risk factors failed to consistently predict rehospitalization, which may reflect dated HF-specific approaches and therapies. Future studies should evaluate contributions of current targeted post-discharge methods or therapies. [Research in Gerontological Nursing, xx(x), xx-xx.].

Role of depressive symptoms in the prognosis of heart failure and its potential clinical predictors

Aims

This study aims to analyse the factors associated with prognosis in hospitalized patients with heart failure, particularly the role of depressive symptoms, and to develop a prediction model for depressive symptoms based on clinical characteristics in hospitalized patients with heart failure.

Methods and results

Baseline information was collected at admission, and patients were followed up after discharge. The endpoint events were being hospitalized for heart failure or all‐cause death. Depressive symptoms were evaluated and defined via the Patient Health Questionnaire (PHQ)‐2 and PHQ‐9. The bidirectional elimination was used to screen independent predictors of heart failure with depression symptoms. The least absolute shrinkage and selection operator (LASSO) optimized the predictor variables, and the prediction model was constructed. The model was internally validated by the bootstrap sampling method (Bootstrap), and its performance was assessed by discrimination and calibration. The mean age of patients with heart failure was 69.43 ± 12.15 years, and the proportion of males was 66.67%. The prevalence of depressive symptoms in hospitalized patients with heart failure was 46.83%, and the prevalence of moderate/severe depressive symptoms was 11.62%. Eighty cases (30.30%) were readmitted for heart failure, and 13 cases (4.92%) were all‐cause deaths. Depressive symptoms (HR = 2.43, 95% CI: 1.55–3.80) and the PHQ‐9 score (HR = 1.11, 95% CI: 1.06–1.16) were both independent risk factors for endpoint events (P < 0.001). For heart failure patients combined with depressive symptoms, obesity (OR = 0.27, 95% CI: 0.09–0.77, P = 0.015), N‐terminal brain natriuretic peptide precursor (NT‐proBNP) level (lnNT‐proBNP: OR = 1.55, 95% CI: 1.20–2.01, P < 0.001) and red blood cell distribution width (RDW) (OR = 1.26, 95% CI: 1.08–1.47, P = 0.004) were the independent factors. Six variables, including cardiovascular disease hospitalization history, obesity, renal insufficiency, NT‐proBNP level, neutrophil ratio and RDW, were included to construct the prediction model. The area under the curve (AUC) was 0.730 in the original data, and the calibration curve was approximately distributed along the reference line in Bootstrap (500 resamplings), indicating the high level of discrimination and calibration of this model.

Conclusions

Depressive symptoms and the PHQ‐9 score are both independent risk factors for the prognosis of hospitalized patients with heart failure. In hospitalized patients with heart failure, the risk prediction model developed in this study has good predictive power for depressive symptoms.

2022 AHA/ACC/HFSA Guideline for the Management of Heart Failure: A Report of the American College of Cardiology/American Heart Association Joint Committee on Clinical Practice Guidelines

AIM

The "2022 AHA/ACC/HFSA Guideline for the Management of Heart Failure" replaces the "2013 ACCF/AHA Guideline for the Management of Heart Failure" and the "2017 ACC/AHA/HFSA Focused Update of the 2013 ACCF/AHA Guideline for the Management of Heart Failure." The 2022 guideline is intended to provide patient-centric recommendations for clinicians to prevent, diagnose, and manage patients with heart failure.

METHODS

A comprehensive literature search was conducted from May 2020 to December 2020, encompassing studies, reviews, and other evidence conducted on human subjects that were published in English from MEDLINE (PubMed), EMBASE, the Cochrane Collaboration, the Agency for Healthcare Research and Quality, and other relevant databases. Additional relevant clinical trials and research studies, published through September 2021, were also considered. This guideline was harmonized with other American Heart Association/American College of Cardiology guidelines published through December 2021. Structure: Heart failure remains a leading cause of morbidity and mortality globally. The 2022 heart failure guideline provides recommendations based on contemporary evidence for the treatment of these patients. The recommendations present an evidence-based approach to managing patients with heart failure, with the intent to improve quality of care and align with patients' interests. Many recommendations from the earlier heart failure guidelines have been updated with new evidence, and new recommendations have been created when supported by published data. Value statements are provided for certain treatments with high-quality published economic analyses.

2022 AHA/ACC/HFSA Guideline for the Management of Heart Failure

AIM

The "2022 AHA/ACC/HFSA Guideline for the Management of Heart Failure" replaces the "2013 ACCF/AHA Guideline for the Management of Heart Failure" and the "2017 ACC/AHA/HFSA Focused Update of the 2013 ACCF/AHA Guideline for the Management of Heart Failure." The 2022 guideline is intended to provide patient-centric recommendations for clinicians to prevent, diagnose, and manage patients with heart failure.

METHODS

A comprehensive literature search was conducted from May 2020 to December 2020, encompassing studies, reviews, and other evidence conducted on human subjects that were published in English from MEDLINE (PubMed), EMBASE, the Cochrane Collaboration, the Agency for Healthcare Research and Quality, and other relevant databases. Additional relevant clinical trials and research studies, published through September 2021, were also considered. This guideline was harmonized with other American Heart Association/American College of Cardiology guidelines published through December 2021.

STRUCTURE

Heart failure remains a leading cause of morbidity and mortality globally. The 2022 heart failure guideline provides recommendations based on contemporary evidence for the treatment of these patients. The recommendations present an evidence-based approach to managing patients with heart failure, with the intent to improve quality of care and align with patients' interests. Many recommendations from the earlier heart failure guidelines have been updated with new evidence, and new recommendations have been created when supported by published data. Value statements are provided for certain treatments with high-quality published economic analyses.

Depression and Hospital Readmissions in Patients with Heart Failure

Depression increases the risk of mortality in patients with heart failure (HF). Less is known about whether depression predicts multiple readmissions or whether multiple hospitalizations worsen depression in patients with HF. This study aimed to test the hypotheses that depression predicts multiple readmissions in patients hospitalized with HF, and conversely that multiple readmissions predict persistent or worsening depression. All-cause readmissions were ascertained over a 2-year follow-up of a cohort of 400 patients hospitalized with HF. The Patient Health Questionnaire-9 was used to assess depression at index and 3-month intervals. At enrollment in the study, 21% of the patients were mildly depressed and 22% were severely depressed. Higher Patient Health Questionnaire-9 depression scores predicted a higher rate of readmissions (adjusted hazard ratio 1.02, 95% confidence interval 1.00 to 1.04, p = 0.03). The readmission rate was higher in those who were severely depressed than in those without depression (p = 0.0003), but it did not differ between patients who were mildly depressed and patients without depression. Multiple readmissions did not predict persistent or worsening depression, but younger patients in higher New York Heart Association classes were more depressed than other patients. Depression is an independent risk factor for multiple all-cause readmissions in patients hospitalized with HF. Severe depression is a treatable psychiatric co-morbidity that warrants ongoing clinical attention in patients with HF.

Role of leukocytes, gender, and symptom domains in the influence of depression on hospitalization and mortality risk: Findings from the Moli-sani study

BACKGROUND

Major depressive disorder is a mental illness associated with chronic conditions like cardiovascular disease (CVD). Circulating inflammation has been proposed as a potential mechanism underlying this link, although the role of specific biomarkers, gender, and symptom domains is not well elucidated.

METHODS

We performed multivariable Cox regressions of first hospitalization/all-cause mortality and CVD, ischemic heart (IHD), and cerebrovascular disease (CeVD) causes vs. depression severity in an Italian population cohort (N = 13,191; age ≥ 35 years; 49.3% men; 4,856 hospitalizations and 471 deaths, median follow-up 7.28 and 8.24 years, respectively). In models adjusted for age, sex, and socioeconomic status, we estimated the proportion of association explained by C-reactive protein (CRP), platelet count, granulocyte-to-lymphocyte ratio (GLR), and white blood cell count (WBC). Gender-by-depression interaction and gender-stratified analyses were performed. Associations of polychoric factors tagging somatic and cognitive symptoms with incident clinical risks were also tested, as well as the proportion explained by a composite index of circulating inflammation (INFLA score).

RESULTS

Significant proportions of the influence of depression on clinical risks were explained by CRP (4.8% on IHD hospitalizations), GLR (11% on all-cause mortality), and WBC (24% on IHD/CeVD hospitalizations). Gender-by-depression interaction was significantly associated only with all-cause mortality (p = 0.03), with moderate depression showing a + 60% increased risk in women, but not in men. Stable associations of somatic, but not of cognitive, symptoms with increased hospitalization risk were observed (+ 16% for all causes, + 14% for CVD causes), with INFLA score explaining small but significant proportions of these associations (2.5% for all causes, 8.6% for IHD causes).

CONCLUSIONS

These findings highlight the importance of cellular components of inflammation, gender, and somatic depressive symptoms in the link between depression and clinical (especially CVD) risks, pointing to the existence of additional pathways through which depression may play a detrimental effect on the cardiovascular system.

Efficacy of Blended Collaborative Care for Patients With Heart Failure and Comorbid Depression: A Randomized Clinical Trial

IMPORTANCE

Depression is often comorbid in patients with heart failure (HF) and is associated with worse clinical outcomes. However, depression generally goes unrecognized and untreated in this population.

OBJECTIVE

To determine whether a blended collaborative care program for treating both HF and depression can improve clinical outcomes more than collaborative care for HF only and physicians' usual care (UC).

DESIGN, SETTING, AND PARTICIPANTS

This 3-arm, single-blind, randomized effectiveness trial recruited 756 participants with HF with reduced left ventricular ejection fraction (<45%) from 8 university-based and community hospitals in southwestern Pennsylvania between March 2014 and October 2017 and observed them until November 2018. Participants included 629 who screened positive for depression during hospitalization and 2 weeks postdischarge and 127 randomly sampled participants without depression to facilitate further comparisons. Key analyses were performed November 2018 to March 2019.

INTERVENTIONS

Separate physician-supervised nurse teams provided either 12 months of collaborative care for HF and depression ("blended" care) or collaborative care for HF only (enhanced UC [eUC]).

MAIN OUTCOMES AND MEASURES

The primary outcome was mental health-related quality of life (mHRQOL) as measured by the Mental Component Summary of the 12-item Short Form Health Survey (MCS-12). Secondary outcomes included mood, physical function, HF pharmacotherapy use, rehospitalizations, and mortality.

RESULTS

Of the 756 participants (mean [SD] age, 64.0 [13.0] years; 425 [56%] male), those with depression reported worse mHRQOL, mood, and physical function but were otherwise similar to those without depression (eg, mean left ventricular ejection fraction, 28%). At 12 months, blended care participants reported a 4.47-point improvement on the MCS-12 vs UC (95% CI, 1.65 to 7.28; P = .002), but similar scores as the eUC arm (1.12; 95% CI, -1.15 to 3.40; P = .33). Blended care participants also reported better mood than UC participants (Patient-Reported Outcomes Measurement Information System-Depression effect size, 0.47; 95% CI, 0.28 to 0.67) and eUC participants (0.24; 95% CI, 0.07 to 0.41), but physical function, HF pharmacotherapy use, rehospitalizations, and mortality were similar by both baseline depression and randomization status.

CONCLUSIONS AND RELEVANCE

In this randomized clinical trial of patients with HF and depression, telephone-delivered blended collaborative care produced modest improvements in mHRQOL, the primary outcome, on the MCS-12 vs UC but not eUC. Although blended care did not differentially affect rehospitalization and mortality, it improved mood better than eUC and UC and thus may enable organized health care systems to provide effective first-line depression care to medically complex patients.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT02044211.

Patient-centered mobile health technology intervention to improve self-care in patients with chronic heart failure: Protocol for a feasibility randomized controlled trial

This randomized controlled trial aims to determine the feasibility and preliminary efficacy of a patient-centered, mobile health technology intervention (iCardia4HF) in patients with chronic Heart Failure (HF). Participants (n = 92) are recruited and randomized 1:1 to the intervention or control group. The intervention group receives a commercial HF self-care app (Heart Failure Storylines), three connected health devices that interface with the app (Withings weight scale and blood pressure monitor, and Fitbit activity tracker), and a program of individually tailored text-messages targeting health beliefs, self-care self-efficacy, HF-knowledge, and physical activity. The control group receives the same connected health devices, but without the HF self-care app and text messages. Follow-up assessments occur at 30 days and 12 weeks. The main outcome of interest is adherence to HF self-care assessed objectively through time-stamped data from the electronic devices and also via patient self-reports. Primary measures of HF self-care include medication adherence and adherence to daily weight monitoring. Secondary measures of HF self-care include adherence to daily self-monitoring of HF symptoms and blood pressure, adherence to low-sodium diet, and engagement in physical activity. Self-reported HF self-care and health-related quality of life are assessed with the Self-care Heart Failure Index and the Kansas City Cardiomyopathy Questionnaire, respectively. Hospitalizations and emergency room visits are tracked in both groups over 12 weeks as part of our safety protocol. This study represents an important step in testing a scalable mHealth solution that has the potential to bring about a new paradigm in self-management of HF.

The Impact of Depression on Outcomes in Patients With Heart Failure and Reduced Ejection Fraction Treated in the GUIDE-IT Trial

BACKGROUND

It remains unclear why depression is associated with adverse outcomes in patients with heart failure (HF). We examine the relationship between depression and clinical outcomes among patients with HF with reduced ejection fraction managed with guideline-directed medical therapy (GDMT).

METHODS AND RESULTS

Using the GUIDE-IT trial, 894 patients with HF with reduced ejection fraction were stratified according to a history of depression, and Cox proportional hazards regression modeling was used to examine the association with outcomes. There were 140 patients (16%) in the overall cohort who had depression. They tended to be female (29% vs 46%, P < .001) and White (67% vs 53%, P = .002). There were no differences in GDMT rates at baseline or at 90 days; nor were there differences in target doses of these therapies achieved at 90 days (NS, all). amino-terminal pro-B-type natriuretic peptide levels at all time points were similar between the cohorts (P > .05, all). After adjustment, depression was associated with all-cause hospitalizations (hazard ratio, 1.42, 95% confidence interval 1.11-1.81, P < .01), cardiovascular death (hazard ratio, 1.69, 95% confidence interval 1.07-2.68, P = .025), and all-cause mortality (hazard ratio, 1.54, 95% confidence interval 1.03-2.32, P = .039).

CONCLUSIONS

Depression impacts clinical outcomes in HF regardless of GDMT intensity and amino-terminal pro-B-type natriuretic peptide levels. This finding underscores the need for a focus on mental health in parallel to achievement of optimal GDMT in these patients.

TRIAL REGISTRATION

NCT01685840, https://clinicaltrials.gov/ct2/show/NCT01685840.

Psychosocial Syndemics and Multimorbidity in Patients with Heart Failure †

Heart failure (HF) is a common cause of hospitalization and mortality in older adults. HF is almost always embedded within a larger pattern of multimorbidity, yet many studies exclude patients with complex psychiatric and medical comorbidities or cognitive impairment. This has left significant gaps in research on the problems and treatment of patients with HF. In addition, HF is only one of multiple challenges facing patients with multimorbidity, stressful socioeconomic circumstances, and psychosocial problems. The purpose of this study is to identify combinations of comorbidities and health disparities that may affect HF outcomes and require different mixtures of medical, psychological, and social services to address. The syndemics framework has yielded important insights into other disorders such as HIV/AIDS, but it has not been applied to the complex psychosocial problems of patients with HF. The multimorbidity framework is an alternative approach for investigating the effects of multiple comorbidities on health outcomes. The specific aims are: (1) to determine the coprevalence of psychiatric and medical comorbidities in patients with HF (n = 535); (2) to determine whether coprevalent comorbidities have synergistic effects on readmissions, mortality, self-care, and global health; (3) to identify vulnerable subpopulations of patients with HF who have high coprevalences of syndemic comorbidities; (4) to determine the extent to which syndemic comorbidities explain adverse HF outcomes in vulnerable subgroups of patients with HF; and (5) to determine the effects of multimorbidity on readmissions, mortality, self-care, and global health.

Association between depressive symptoms and quality of life in outpatients and inpatients with heart failure

OBJECTIVE

To analyze sociodemographic and clinical characteristics, depressive symptoms and quality of life of patients with heart failure and associate quality of life with depressive symptoms.

METHOD

A cross-sectional study conducted with outpatients and inpatients. Sociodemographic data were collected and questionnaires were applied to assess quality of life (Minnesota Living with Heart Failure Questionnaire) and depressive symptoms (Beck Depression Inventory).

RESULTS

The sample consisted of 113 patients. Outpatients were retired (p=0.004), with better education (p=0.034) and higher ventricular ejection fraction (p=0.001). The inpatient group had greater depressive symptoms (18.1±10 vs 14.6±1.3; p=0.036) and lower quality of life (74.1±18.7 vs 40.5±3.4; p<0.001) than the outpatient group. Outpatients with depressive symptom scores from 18 points had worse quality of life scores in 17 of the 21 questions.

CONCLUSION

Inpatients had worse depressive symptoms and quality of life, which was more affected in the physical dimension in those with moderate/severe depressive symptoms. Outpatients with more severe depressive symptoms had worse quality of life in all dimensions.

Marital status and outcomes in chronic heart failure: Does it make a difference of being married, widow or widower?

OBJECTIVE:

We aimed to compare the outcomes of chronic heart failure (HF) patients with reduced ejection fraction (CHFrEF) in the Turkish Research Team in HF (TREAT-HF) registry according to marital status with a specific focus on being the widowed (widow/widower) versus the married.

METHODS:

TREAT-HF is a network, enrolling CHFrEF with a follow up for HF-related hospitalization (HFrH) and all-cause mortality (ACM). In this cohort, the widowed patients were compared with patients who were married before and after propensity score (PS) matching analysis.

RESULTS:

There were 723 cHFrEF patients with a complete dataset, including reported marital status at baseline for this analysis. Out of 723 patients with HF, 37 “never-married” and “divorced” patients were excluded from the analysis. Then, out of 686 remaining patients with HF, who had at least one reported marriage in the database, widowed patients with HF (n=124) were compared with married patients (n=562). The mean follow up period was 21±12 months up to 48 months. The widowed patients had a higher risk of HFrH (p=0.047), although ACM remained similar compared to married patients (p=0.054). After PS matching, HFrH remained more frequent among the widowed compared with the married (p=0.039) although ACM yielded similar rates. Of note, it was shown that being a widower (p=0.419) was not linked to increased risk of HFrH during follow up contrary to being a widow (p=0.037) despite similar age, ejection fraction, creatinine, NYHA functional class distribution and a similar rate of life-saving medications.

CONCLUSION:

PS matching analysis yielded that the widowed had increased the risk for HFrH. Of note, widowers did not seem to have an increased risk for HFrH, contrary to widows.

Depression and Rehospitalization in Patients With Heart Failure After Discharge From Hospital to Home: An Integrative Review

Patients with heart failure are known to be particularly vulnerable to depression resulting in adverse health outcomes. However, there has been no literature review on current evidence regarding the relationship between depression and rehospitalization. This review aims to explore the relationship between depression and rehospitalization in patients with heart failure. A systematic review employing the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines included articles published between 2001 and 2019 taken from Scopus, PubMed, CINAHL, and PsycINFO databases. We identified 12 relevant studies with participants ranging from 115 to 160,169 patients. Heart failure patients with depression were more likely to be rehospitalized than those without. To explain this, few reasons have been proposed. First, depression could disrupt the regulation of autonomic nervous system, neurohormonal activation, and body’s natural rhythm. Second, depressed patients tend to have poor adherence to medication. Healthcare providers should not only focus on drug and dietary management but also on implementing effective interventions to manage depression, in order to reduce the risk of rehospitalization. Moreover, palliative care should start at the stage of heart failure diagnosis to improve quality of life, better outcomes, and lower cost of care for the patients.

Combined influence of depression severity and low-grade inflammation on incident hospitalization and mortality risk in Italian adults

BACKGROUND

Depression and low-grade systemic inflammation are associated risk factors for hospitalizations and mortality, although the nature of this relationship is under-investigated.

METHODS

We performed multivariable Cox regressions of first hospitalization/mortality for all and specific causes vs depression severity, in an Italian population cohort (N=13,176; age≥35 years; 49.4% men), incrementally adjusting for sociodemographic, health and lifestyle factors. We tested potential mediation, additive and interactive effects of INFLA-score, a composite circulating inflammation index, and potential concurrent mediations of main lifestyles and chronic conditions.

RESULTS

Over 4,856 hospitalizations (median follow-up 7.28 years), we observed an increased incident risk of events by 24% (CI=17-32%) and 59% (30-90%) for moderate and severe depression, which also showed a 125% (33-281%) increased risk of all-cause mortality (over 471 deaths, 8.24 years). These remained stable after adjustment for lifestyles, health conditions and INFLA-score, which explained 2.1%, 7.6%, 16.3% and 8%, 14.9% and 12% of depression influence on hospitalizations and mortality risk, respectively. These proportions remained substantially stable after reciprocal adjustments. INFLA-score showed significant additive (but not interactive) effects on both hospitalizations and mortality risk.

LIMITATIONS

Depression severity was defined using a sub-version of Patient Health Questionnaire 9, which was validated here. Directionality links among exposures could not be established since they were collected simultaneously.

CONCLUSIONS

These findings suggest a combined influence of depression and low-grade inflammation on health, which is partly intertwined and dependent on lifestyles and chronic conditions. This suggests the existence of pathways other than inflammation through which depression may play its detrimental effect.

Factors Related to 30-day Readmission following Hospitalization for Any Medical Reason among Patients with Mental Disorders: Facteurs liés à la réhospitalisation à 30 jours suivant une hospitalisation pour une raison médicale chez des patients souffrant de troubles mentaux

OBJECTIVE

This study evaluated the contributions of clinical, sociodemographic, and service use variables to the risk of early readmission, defined as readmission within 30 days of discharge following hospitalization for any medical reason (mental or physical illnesses), among patients with mental disorders in Quebec (Canada).

METHODS

In this longitudinal study, 2,954 hospitalized patients who had visited 1 of 6 Quebec emergency departments (ED) in 2014 to 2015 (index year) were identified through clinical administrative databanks. The first hospitalization was considered that may have occurred at any Quebec hospital. Data collected between 2012 and 2013 and 2013 and 2014 on clinical, sociodemographic, and service use variables were assessed as related to readmission/no readmission within 30 days of discharge using hierarchical binary logistic regression.

RESULTS

Patients with co-occurring substance-related disorders/chronic physical illnesses, serious mental disorders, or adjustment disorders (clinical variables); 4+ outpatient psychiatric consultations with the same psychiatrist; and patients hospitalized for any medical reason within 12 months prior to index hospitalization (service use variables) were more likely to be readmitted within 30 days of discharge. Patients who made 1 to 3 ED visits within 1 year prior to the index hospitalization, had their index hospitalization stay of 16 to 29 days, or consulted a physician for any medical reason within 30 days after discharge or prior to the readmission (service use variables) were less likely to be rehospitalized.

CONCLUSIONS

Early hospital readmission was more strongly associated with clinical variables, followed by service use variables, both playing a key role in preventing early readmission. Results suggest the importance of developing specific interventions for patients at high risk of readmission such as better discharge planning, integrated and collaborative care, and case management. Overall, better access to services and continuity of care before and after hospital discharge should be provided to prevent early hospital readmission.

Persistent Heart Failure Symptoms at Hospital Discharge Predicts 30-Day Clinical Events

Background

The relationship between heart failure (HF) symptoms at hospital discharge and 30-day clinical events is unknown. Variability in HF symptom assessment may affect ability to predict readmission risk.

Objective

The aim of this study was to describe HF symptom profiles and burden at hospital discharge. A secondary aim was to examine the relationship between symptom burden at discharge and 30-day clinical events.

Methods

An exploratory descriptive design was used. Patients with HF (n = 186) were enrolled 24 to 48 hours pre hospital discharge. The HF Somatic Perception Scale quantified 18 HF physical signs and symptoms. Scores were divided into tertiles (0-10, 11-19, and 20 and higher). The Patient Health Questionnaire-9 quantified depressive symptoms. Self-assessed health, comorbid illnesses, and 30-day clinical events were documented. Chi-square and logistic regression were used to examine clinical events.

Results

The sample (n = 186) was predominantly White (87.6%), male (59.1%), elderly (mean [SD], 74.2 [12.5]), and symptomatic (92.5%) at discharge. Heart Failure Somatic Perception Scale scores ranged from 0 to 53, with a mean (SD) of 13.7 (10.1). Symptoms reported most frequently were fatigue (67%), nocturia (62%), need to rest (53%), and inability to do usual activities due to shortness of breath (52%). Thirty-day event rate was 28%, with significant differences between Heart Failure Somatic Perception Scale tertiles (9.4% vs 37.7% in the second and third tertiles, respectively; [chi]22(N = 186) = 16.73, P < .001). Heart Failure Somatic Perception Scale tertile 2 or 3 (odds ratio [OR], 5.7; P = .003; and OR, 4.3; P = .021), self-assessed health (OR, 2.6; P = .029), and being in a relationship predicted clinical events.

Conclusions

Heart failure symptom burden at discharge predicted 30-day clinical events. Comprehensive symptom assessment is important when determining readmission risk.

Association between depression and increased risk of readmission in patients with heart failure: a systematic review and meta-analysis

INTRODUCTION

Heart failure (HF) is one of the world leading causes of admission and readmission. Recent studies have shown that the presence of depression is associated with hospital readmission in patients after an index admission for heart failure (HF). However, there is disagreement between published studies regarding this finding. We performed a systematic review and meta-analysis to evaluate the effect of depression on readmission rates in HF patients.

EVIDENCE ACQUISITION

We searched the databases of MEDLINE and EMBASE from inception to March 2020. Included studies were published study evaluating readmission rate of HF patients, with and without depression. Data from each study were combined using a random-effects model, generic inverse variance method of DerSimonian and Laird to calculate risk ratios and 95% confidence intervals.

EVIDENCE SYNTHESIS

Ten studies were included in the meta-analysis with a total of 53,165 patients (6194 patients with depression). The presence of depression was associated with an increased risk of readmission in patients with HF (pooled HR=1.54, 95% CI: 1.22-1.94, P<0.001, I²=55.4%). In a subgroup analysis, depression was associated with an increased risk of readmission in patients with HF in both short-term (≤90 days) follow-up (pooled HR=1.75, 95% CI: 1.07-2.85, P=0.025, I²=76.0%) and long-term (>90 days) follow-up (pooled HR=1.58, 95% CI: 1.32-1.90, P<0.001, I²=0.0%).

CONCLUSIONS

Our meta-analysis demonstrated that depression is associated with an increased risk of hospital readmission in patients with HF.

Antidepressant use in patients with heart failure

OBJECTIVE

There is little evidence that antidepressants are efficacious for depression in patients with heart failure (HF), and equivocal evidence that they are safe. This study identified characteristics that are associated with antidepressant use in hospitalized patients with HF.

METHOD

Logistic regression models were used to identify independent correlates of antidepressant use in 400 patients hospitalized with HF between 2014 and 2016. The measure of depression in the primary analysis was a DSM-5 diagnosis based on a structured interview; this was replaced by a PHQ-9 depression score in a secondary analysis.

RESULTS

In the primary analysis, there were positive associations between antidepressant use and white race, younger age, unemployment, non-ischemic HF, number of other prescribed medications, current minor depression, history of major depression, and functional impairment. In the secondary analysis, there were positive associations with white race, unemployment, number of other prescribed medications, and functional impairment; the effect of current severity of depression differed between patients with vs. without a history of major depression.

CONCLUSIONS

Current depression is only one of several factors that influence the use of antidepressant medications in patients with HF. Further research is needed to ensure that these agents are being used appropriately in this patient population.

Association between depression and readmission of heart failure: A national representative database study

INTRODUCTION

Depression is a recognized predictor of adverse outcomes in patients with heart failure (HF) and is associated with poor quality of life, functional limitation, increased morbidity and mortality, decreased adherence to treatment, and increased rehospitalization. To understand the impact of depression on HF readmission, we conducted a retrospective cohort study using the Nationwide Readmission Database (NRD) 2010-2014.

METHODS

We identified all patients with the primary discharge diagnosis of HF by ICD-9-CM codes. The primary outcome of the study was to identify 30-day all-cause readmission and causes of readmission in patients with and without depression. Multivariate Cox regression analysis was used to estimate the adjusted hazard ratio for the primary and secondary outcomes.

RESULTS

Among, 3,500,570 patients admitted with HF, 9.7% had concomitant depression. Patients with depression were more likely to be readmitted within 30 days (19.7% vs. 18.5%; P < 0.001). Concomitant depression was associated with higher risk of all-cause readmissions within 30 days and 90 days [P < 0.001] but was not associated with increased readmissions due to cardiovascular (CV) cause at 30 days and 90 days. The hazard of psychiatric causes of readmission was higher in patients with depression, both at 30 days [P < 0.001], and 90 days [P < 0.001]. Most of the readmissions were due to CV causes, with HF being the most common cause.

CONCLUSION

Among patients hospitalized with HF, the presence of depression is associated with increased all-cause readmission driven mainly by psychiatric causes but not CV-related readmission. Standard interventions targeted toward HF are unlikely to modify this portion of all-cause readmission.

Psychological Disorders in Heart Failure

The occurrence of depression, anxiety, and insomnia is strikingly high in patients with heart failure and is linked to increased morbidity and mortality. However, symptoms are frequently unrecognized and the integration of mental health into cardiology care plans is not routine. This article describes the prevalence, identification, and treatment of common comorbid psychological disorders.

Functional support and burden among out-of-home supporters of heart failure patients with and without depression

OBJECTIVE

Over 20% of patients with heart failure (HF) experience clinical depression, which is associated with higher rates of mortality, morbidity, and hospitalization. Support from family members or friends (whom we refer to as care partners [CPs]) can lower the risk of these outcomes. We examined whether HF patients with depression received assistance from CPs living outside of their homes. Further, we examined whether patient depression was associated with support-related strain among out-of-home CPs.

METHOD

We analyzed baseline survey data from 348 HF patients with reduced ejection fraction and their CPs. Patients with scores on the Center for Epidemiological Studies Depression Scale-10 (Kohout, Berkman, Evans, & Cornoni-Huntley, 1993) of ≥10 were classified as having clinically significant depressive symptoms (i.e., depression). Outcomes included CP-reported hr per week helping with health care and talking with patients via telephone and scores on the Modified Caregiver Strain Index. Negative binomial regression models examined differences in the amount of in-person and telephone support for patients with and without depression, controlling for patients' comorbidities, living alone, CP geographic distance, and CP emotional closeness to the patient.

RESULTS

CPs provided more in-person support to HF patients with depression (M = 3.64 hr) compared with those without depression (M = 2.60 hr per week, incident rate ratio [IRR] = 1.40, p = .019). CPs provided more telephone support to patients with depression (M = 3.02 hr) compared with those without depression (M = 2.09 hr per week, IRR = 1.42, p < .001). Patient depression had no effect on caregiver burden (IRR = 1.00, p = .843).

CONCLUSION

Patients with clinically significant depressive symptoms receive more in-person assistance and telephonic support from CPs. Despite that additional contact, caregiver burden was not greater among the supporters of depressed patients. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

One-year rehospitalisations for congestive heart failure in Portuguese NHS hospitals: a multilevel approach on patterns of use and contributing factors

OBJECTIVES

Identification of rehospitalisations for heart failure and contributing factors flags health policy intervention opportunities designed to deliver care at a most effective and efficient level. Recognising that heart failure is a condition for which timely and appropriate outpatient care can potentially prevent the use of inpatient services, we aimed to determine to what extent comorbidities and material deprivation were predictive of 1 year heart failure specific rehospitalisation.

SETTING

All Portuguese mainland National Health Service (NHS) hospitals.

PARTICIPANTS

A total of 68 565 hospitalisations for heart failure principal cause of admission, from 2011 to 2015, associated to 45 882 distinct patients aged 18 years old or over.

OUTCOME MEASURES

We defined 1 year specific heart failure rehospitalisation and time to rehospitalisation as outcome measures.

RESULTS

Heart failure principal diagnosis admissions accounted for 1.6% of total hospital NHS budget, and over 40% of this burden is associated to patients rehospitalised at least once in the 365-day follow-up period. 22.1% of the patients hospitalised for a principal diagnosis of heart failure were rehospitalised for the same cause at least once within 365 days after previous discharge. Nearly 55% of rehospitalised patients were readmitted within 3 months. Results suggest a mediation effect between material deprivation and the chance of 1 year rehospitalisation through the effect that material deprivation has on the prevalence of comorbidities. Heart failure combined with chronic kidney disease or chronic obstructive pulmonary disease increases by 2.8 and 2.2 times, respectively, the chance of the patient becoming a frequent user of inpatient services for heart failure principal cause of admission.

CONCLUSIONS

One-fifth of patients admitted for heart failure are rehospitalised due to heart failure exacerbation. While the role of material deprivation remained unclear, comorbidities considered increased the chance of 1 year heart failure specific rehospitalisation, in particular, chronic kidney disease and chronic obstructive pulmonary disease.

Effects of a structured heart failure program on quality of life and frequency of hospital admission in Saudi Arabia

Objectives:

To compare the quality of life (QOL) and frequency of hospital admission (FHA) in the past 4 months between congestive heart failure (CHF) patients involved in a structured heart failure program (HFP) compared with waitlisted controls.

Methods:

This study, employing an ex-post-facto comparative cross-sectional design, involved 80 patients with CHF (40 in the HFP and 40 controls). Those in the HFP had been enrolled for at least 4 months. Controls were waiting to be enrolled in the program. Participants completed a questionnaire assessing demographic, social/cultural, psychological, and CHF-related physical health characteristics, along with the primary dependent variables, QOL and FHA. Bivariate and multivariate analyses assessed differences between those in the HFP and controls.

Results:

Congestive heart failure patients in the HFP were significantly less likely than the control group to score below the median on heart failure-specific QOL, controlling for other variables (OR=0.83, 95% CI: 0.82-0.95, p=0.007). Those in the HFP were also significantly less likely than controls to be hospitalized within the past 4 months (OR=0.78, 95% CI: 0.69-0.88, p<0.001). Multivariate analyses indicated that CHF patients in the HFP were 95% less likely than controls to be admitted to the hospital during that period, independent of other risk factors for hospital admission.

Conclusion:

Involvement by patients with CHF in a structured HFP at King Abdulaziz University in Jeddah, Kingdom of Saudi Arabia, is associated with significantly higher quality of life and lower likelihood of being hospitalized compared to CHF patients not involved.

Local Health Departments' Promotion of Mental Health Care and Reductions in 30-Day All-Cause Readmission Rates in Maryland

BACKGROUND

Individuals affected with mental health conditions, including mood disorders and substance abuse, are at an increased risk of hospital readmission.

OBJECTIVES

The objective of this study is to examine whether local health departments' (LHDs) active roles of promoting mental health are associated with reductions in 30-day all-cause readmission rates, a common quality metric.

METHODS

Using datasets linked from multiple sources, including 2012-2013 State Inpatient Databases for the State of Maryland, the National Association of County and City Health Officials Profiles Survey, the Area Health Resource File, and US Census data, we employed multivariate logistic models to examine whether LHDs' active provision of mental health preventive care, mental health services, and health promotion were associated with the likelihood of having any 30-day all-cause readmission.

RESULTS

Multivariate logistic regressions showed that LHDs' provision of mental health preventive care, mental health services, and health promotion were negatively associated with the likelihoods of having any 30-day readmission for adults 18-64 years old (odds ratios=0.71-0.82, P<0.001), and adults 65 and above (odds ratios=0.61-0.63, P<0.001, preventive care and services, respectively). These estimated associations were more prominent among individuals with mental illness and/or substance use disorders, African Americans, Medicare, and Medicaid enrollees.

CONCLUSIONS

Our results suggest that LHDs in Maryland that engage in mental health prevention, promotion, and coordination activities are associated with benefits for residents and for the health care system at large. Additional research is needed to evaluate LHD activities in other states to determine if these results are generalizable.

Patient Experiences of Web-Based Cognitive Behavioral Therapy for Heart Failure and Depression: Qualitative Study

Background

Web-based cognitive behavioral therapy (wCBT) has been proposed as a possible treatment for patients with heart failure and depressive symptoms. Depressive symptoms are common in patients with heart failure and such symptoms are known to significantly worsen their health. Although there are promising results on the effect of wCBT, there is a knowledge gap regarding how persons with chronic heart failure and depressive symptoms experience wCBT.

Objective

The aim of this study was to explore and describe the experiences of participating and receiving health care through a wCBT intervention among persons with heart failure and depressive symptoms.

Methods

In this qualitative, inductive, exploratory, and descriptive study, participants with experiences of a wCBT program were interviewed. The participants were included through purposeful sampling among participants previously included in a quantitative study on wCBT. Overall, 13 participants consented to take part in this study and were interviewed via telephone using an interview guide. Verbatim transcripts from the interviews were qualitatively analyzed following the recommendations discussed by Patton in Qualitative Research & Evaluation Methods: Integrating Theory and Practice. After coding each interview, codes were formed into categories.

Results

Overall, six categories were identified during the analysis process. They were as follows: “Something other than usual health care,” “Relevance and recognition,” “Flexible, understandable, and safe,” “Technical problems,” “Improvements by real-time contact,” and “Managing my life better.” One central and common pattern in the findings was that participants experienced the wCBT program as something they did themselves and many participants described the program as a form of self-care.

Conclusions

Persons with heart failure and depressive symptoms described wCBT as challenging. This was due to participants balancing the urge for real-time contact with perceived anonymity and not postponing the work with the program. wCBT appears to be a valuable tool for managing depressive symptoms.

Comorbidities and Consequences in Hospitalized Heart Failure Patients with Depression

Objective

To evaluate the demographic predictors of major depressive disorder (MDD) in hospitalized congestive heart failure (CHF) patients and measure the differences in hospital stay and cost per comorbidities and the associated risk of in-hospital mortality.

Methods

This retrospective cross-sectional study used nationwide inpatient data from the healthcare cost and utilization project (HCUP). We identified patients with CHF as the primary diagnosis and MDD as the secondary diagnosis using ICD-9-CM codes and compared with the CHF patient without MDD. The differences in comorbidities were quantified using chi-square tests and the logistic regression model was used to evaluate mortality risk among comorbidities using odds ratio (OR).

Results

Elder CHF patients, 36–50-year-old (OR: 1.324) and whites (OR: 1.673), have a higher likelihood of a co-diagnosis of MDD. Females with heart failure have two-fold higher odds of MDD (OR: 2.332). Majority of the medical comorbidities were seen in a higher proportion of CHF patients without MDD. Hypothyroidism (10.2%) and drug abuse (15.2%) were seen more in depressed patients comparatively. Among substance use disorder, patients with drug abuse stayed longer and had a higher hospitalization total cost ($51,828). And, hypothyroidism was associated with longer inpatient stay (5.6 days) and cost ($64,726), and four-fold higher odds of in-hospital mortality (OR: 4.405). Though alcohol abuse was seen only in 7.4% of CHF patients with MDD, it was associated with the three-fold higher likelihood of deaths during hospitalization (OR: 3.195).

Conclusion

A middle-aged, white female with comorbid depression has a higher risk of hospitalization for heart failure. Depressed CHF patients with comorbid hypothyroidism were hospitalized for a longer duration with higher inpatient cost and four times higher risk of mortality during hospitalization stay. Further studies are required to evaluate the underlying cause of worse hospital outcomes in depressed CHF patients with alcohol abuse and hypothyroidism. An integrated healthcare model is required for early diagnosis and treatment of depression and associated comorbidities in CHF patients to reduce mortality and improve post-CHF outcomes.

Type D Personality, Social Support, and Depression Among Ethnic Chinese Coronary Artery Disease Patients Undergoing a Percutaneous Coronary Intervention: An Exploratory Study

This study investigated the relationships between Type D personality, depression, and social support among ethnic Chinese coronary artery disease (CAD) patients undergoing percutaneous coronary interventions. Type D personality is associated with CAD, and may increase patients' depression and mortality rate. However, very few studies have explored the relationships between depression and social support among ethnic Chinese Type D CAD patients. A longitudinal, repeated-measures design was used; 105 Taiwanese CAD patients undergoing a percutaneous coronary intervention were recruited between January and December 2015. A demographic questionnaire, Type D Scale, ENRICHD Social Support Inventory, and Patient Health Questionnaire-9 were completed by 102 participants (mean age = 64.42, SD = 13.67 years) at hospitalization, and at the second week and third month after discharge. Data were analyzed using t tests and a generalized estimating equation. Results indicated that 46.7% of participants who had Type D personality had lower social support and higher depression than did the remaining (non-Type D) participants. At two weeks after discharge, the improvement in social support was higher among Type D patients than non-Type D participants; the same was true for depression at two weeks and three months after discharge each. Type D Taiwanese CAD patients showed lower perceived social support and higher depression during hospitalization than did non-Type D participants. Furthermore, the more social support patients received at home, the lower was their depression. Health-care providers should provide continuous mental health care, conduct early screening of mental health issues, and ensure that patients receive sufficient social support to reduce depression.

Neuroimmune Mechanisms of Depression in Adults with Heart Failure

Heart failure (HF) is a major and costly public health concern, and its prognosis is grim-with high hospitalization and mortality rates. HF affects millions of individuals across the world, and this condition is expected to become "the epidemic" of the twenty-first century (Jessup et al., 2016). It is well documented that individuals with HF experience disproportionately high rates of depression and that those who are depressed have worse clinical outcomes than their nondepressed counterparts. The purpose of this chapter is to introduce the reader to the study of depression in HF, and how psychoneuroimmunologic principles have been applied to further elucidate mechanisms (i.e., neurohormonal and cytokine activation) linking these comorbid disorders.

Risk factors for hospitalizations among patients with cirrhosis: A prospective cohort study

This study was designed to assess unique baseline factors associated with subsequent hospitalizations in a cohort of outpatients with cirrhosis. A cohort of 193 patients with cirrhosis was recruited from an outpatient liver disease clinic at a single, tertiary medical center. Comorbidities, prescription medications, liver disease symptoms and severity, and psychiatric and pain symptoms were assessed at baseline using validated instruments. Inflammatory markers were measured using standardized Luminex assays. Subsequent hospitalizations and the primary admission diagnoses were collected via chart review. Multivariable models were used to evaluate which baseline factors were associated with time to hospitalization and number of hospitalizations. The cohort consisted of 193 outpatients, with an average age of 58±9 and model for end-stage liver disease (MELD) score of 12±5. Over follow-up, 57 (30%) were admitted to the hospital. The factors associated with time to hospitalization included the severity of liver disease (HR/MELD point:1.10, 95% CI:1.04,1.16), ascites (HR: 1.90, 95% CI: 1.01, 3.58), baseline symptoms of depression (HR:2.34, 95% CI:1.28,4.25), sleep medications (HR:1.81, 95% CI:1.01, 3.22) and IL-6 (HR:1.43, 95% CI: 1.10, 1.84). Similarly the number admissions was significantly associated with MELD (IIR: 1.08, CI: 1.07,1.09), ascites (IIR: 4.15, CI:3.89, 4.43), depressive symptoms (IIR:1.54, CI:1.44,1.64), IL-6 (IIR:1.26, CI:1.23,1.30), sleep medications (IIR:2.74, CI:2.57, 2.93), and widespread pain (IIR: 1.61, CI: 1.50, 1.73). In conclusion, consistent with prior studies, MELD and ascites were associated with subsequent hospitalization. However, this study also identified other factors associated with hospitalization including inflammation, depressive symptoms, sleep medication use, and pain.

Self-Care for the Prevention and Management of Cardiovascular Disease and Stroke: A Scientific Statement for Healthcare Professionals From the American Heart Association

Self-care is defined as a naturalistic decision-making process addressing both the prevention and management of chronic illness, with core elements of self-care maintenance, self-care monitoring, and self-care management. In this scientific statement, we describe the importance of self-care in the American Heart Association mission and vision of building healthier lives, free of cardiovascular diseases and stroke. The evidence supporting specific self-care behaviors such as diet and exercise, barriers to self-care, and the effectiveness of self-care in improving outcomes is reviewed, as is the evidence supporting various individual, family-based, and community-based approaches to improving self-care. Although there are many nuances to the relationships between self-care and outcomes, there is strong evidence that self-care is effective in achieving the goals of the treatment plan and cannot be ignored. As such, greater emphasis should be placed on self-care in evidence-based guidelines.

Undiagnosed depression: A community diagnosis

Many large provider networks are investing heavily in preventing disease within the communities that they serve. We explore the potential benefits and challenges associated with tackling depression at the community level using a unique dataset designed for one such provider network. The economic costs of having depression (increased medical care use, lower quality of life, and decreased workplace productivity) are among the highest of any disease. Depression often goes undiagnosed, yet many believe that depression can be treated or prevented altogether. We explore the prevalence, distribution, economic burden, and the psychosocial and economic factors associated with undiagnosed depression in a lower-income neighborhood in northern Manhattan. Even using state-of-the art data to "diagnose" the risk factors within a community, it can be challenging for provider networks to act against such risk factors.

It is a painful somatic symptom, not the history of cancer/malignancy that is associated with depression: findings from multiple national surveys

Medical case management has improved in the past few decades, changing the dynamic interaction between depression and prevalent medical diseases. It is relevant to describe the comorbidity between depression and medical diseases to further improve the effectiveness of case management. We analyzed the data of adults aged 20 years and older, who completed depression screening as a part of the National Health and Nutrition Examination Survey, 2005 to 2012. Depression was ascertained using the Patient Health Questionnaire, a 9-item screening instrument asking about the frequency of depression symptoms over the past 2 weeks. Comorbid diseases were assessed in a self-reported personal interview on doctor-diagnosed health conditions. The associations between depression and medical diseases were limited to the diseases with painful somatic symptoms. Reported from 19.78% of men and 27.84% of women, arthritis was the most prevalent chronic disease, and was the only one consistently associated with depression. The odds ratio of moderate to severe depression was 1.65 (95% confidence interval = 1.12-2.44) for men and 2.11 (1.63-2.99) for women with arthritis compared with their counterparts free of arthritis. Moderate/severe depression was associated with a history of heart disease among men (2.45 [1.19-5.06]) and angina/angina pectoris among women (2.13 [1.07-4.26]). No associations were found between depression and cancer/malignancy, either among men or women. The potential impact of pain management on depression prevention among general population is substantial; more efforts are needed to assess chronic pain to facilitate timely prevention and treatment of depression and comorbid medical conditions.

Depression in heart failure: Intricate relationship, pathophysiology and most updated evidence of interventions from recent clinical studies

Heart failure (HF) is a burgeoning chronic health condition affecting more than 20million people worldwide. Patients with HF have a significant (17.1%) 30-day readmission rate, which invites substantial penalty in payment to hospitals from Centers for Medicare and Medicaid Services, as per the newly introduced Hospital Readmissions Reduction Program. Depression is one of the important risk factors for readmission in HF patients. It has a significant prevalence in patients with HF and contributes to the overall poor quality of life in them. Several behavioral (smoking, obesity, lack of exercise and medication noncompliance) and pathophysiological factors (hypercortisolism, elevated inflammatory biomarkers, fibrinogen, and atherosclerosis) have been found responsible for the adverse outcome in patients with HF and concomitant depression. Hippocampal volume loss noted in patients with acute HF exacerbations may contribute to the development of depressive symptoms in them. Screening for depression in HF patients continues to be challenging due to a considerable overlap in symptoms. Published trials on the use of antidepressants and cognitive behavioral therapy (CBT) have shown variable outcomes. Newer modalities like internet-based CBT have been tried in small studies, with promising results. A recent meta-analysis observed the beneficial role of aerobic exercise training in patients with HFrEF. Future long-term prospective studies may contribute to the formulation of a detailed screening and management guideline for patients with HF and depression. Our review is aimed to summarize the intricate relationship between depression and heart failure, with respect to their epidemiology, pathophysiological aspects, and optimal management approach.

Alterations in the corticotropin-releasing hormone (CRH) neurocircuitry: Insights into post stroke functional impairments

Although it is well accepted that changes in the regulation of the hypothalamic-pituitary adrenal (HPA) axis may increase susceptibility to affective disorders in the general population, this link has been less examined in stroke patients. Yet, the bidirectional association between depression and cardiovascular disease is strong, and stress increases vulnerability to stroke. Corticotropin-releasing hormone (CRH) is the central stress hormone of the HPA axis pathway and acts by binding to CRH receptors (CRHR) 1 and 2, which are located in several stress-related brain regions. Evidence from clinical and animal studies suggests a role for CRH in the neurobiological basis of depression and ischemic brain injury. Given its importance in the regulation of the neuroendocrine, autonomic, and behavioral correlates of adaptation and maladaptation to stress, CRH is likely associated in the pathophysiology of post stroke emotional impairments. The goals of this review article are to examine the clinical and experimental data describing (1) that CRH regulates the molecular signaling brain circuit underlying anxiety- and depression-like behaviors, (2) the influence of CRH and other stress markers in the pathophysiology of post stroke emotional and cognitive impairments, and (3) context and site specific interactions of CRH and BDNF as a basis for the development of novel therapeutic targets. This review addresses how the production and release of the neuropeptide CRH within the various regions of the mesocorticolimbic system influences emotional and cognitive behaviors with a look into its role in psychiatric disorders post stroke.