Depression predicts repeated heart failure hospitalizations

Network analysis of symptoms, physiological, psychological and environmental risk factors based on unpleasant symptom theory in patients with chronic heart failure

BACKGROUND

Somatic symptoms and related factors in patients with chronic heart failure have been extensively researched. However, more insight into the complex interconnections among these constructs is needed, as most studies focus on them independently from each other.

AIMS

The aim of this study is to gain a comprehensive understanding of how somatic symptoms and related factors are interconnected among patients with chronic heart failure.

METHODS

A total of 379 patients were enrolled. Network analysis was used to explore the interconnections among the somatic symptoms and related risk factors.

RESULTS

The four core symptoms of chronic heart failure were daytime dyspnea, dyspnea when lying down, fatigue and difficulty sleeping. Within the network, the edge weights of depression-anxiety, subjective social support-objective social support, and subjective social support-social support availability were more significant than others. Among physiological, psychological and environmental factors, the edge weights of NYHA-dyspnea, depression-difficulty sleeping, and social support availability-dyspnea when lying down were more significant than others. Depression and anxiety had the highest centrality, indicating stronger and closer connections with other nodes.

CONCLUSIONS

Psychological and environmental factors stood out in the network, suggesting the potential value of interventions targeting these factors to improve overall health.

The association between proportion of night shifts and musculoskeletal pain and headaches in nurses: a cross-sectional study

BACKGROUND AND PURPOSE

Shift work is associated with musculoskeletal pain and headaches, but little is known about how the intensity of shift work exposure is related to musculoskeletal pain and headaches. This study aimed to investigate whether a higher proportion of night shifts is associated with a higher occurrence of musculoskeletal pain and headaches. Furthermore, to investigate whether sleep duration can mediate this potential association.

METHOD

The study included 684 nurses in rotating shift work who responded to a daily questionnaire about working hours, sleep, and pain for 28 consecutive days. The data were treated cross-sectionally.

RESULTS

A negative binomial regression analysis adjusted for age and BMI revealed that working a higher proportion of night shifts is not associated with a higher occurrence of musculoskeletal pain and headaches. On the contrary, those working ≥ 50% night shifts had a significantly lower occurrence of pain in the lower extremities than those who worked < 25% night shifts (IRR 0.69 95% CI 0.51, 0.94). There was no indication of a mediation effect with total sleep time (TST).

CONCLUSION

The results of this study indicate that working a higher proportion of night shifts is not associated with a higher occurrence of musculoskeletal pain and headaches.

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.

Association of psychological distress with reasons for delay in seeking medical care in rural patients with worsening heart failure symptoms

BACKGROUND

The impact of depressive symptoms and anxiety on rural patients' decisions to seek care for worsening heart failure (HF) symptoms remains unknown. The purposes of this study were (1) to describe rural patients' reasons for delay in seeking care for HF, and (2) to determine whether depressive symptoms or anxiety was associated with patients' reasons for delay in seeking medical care for worsening symptoms.

METHODS

A total of 611 rural HF patients were included. Data on reasons for patient delay in seeking medical care (The Reasons for Delay Questionnaire), depressive symptoms (PHQ-9), and anxiety (BSI-ANX) were collected. Statistical analyses included chi-square and multiple regression.

RESULTS

A total of 85.4% of patients reported at least 1 reason for delay. Patients with higher levels of depressive symptoms were more likely to cite embarrassment, problems with transportation, and financial concerns as a reason for delay. Patients with anxiety not only cited nonsymptom-related reasons but also reported symptom-related reasons for delay in seeking care (ie, symptoms seemed vague, not sure of symptoms, symptoms didn't seem to be serious enough, and symptoms were different from the last episode). In multiple regression, patients with greater depressive symptoms and anxiety had a greater number of reasons for delay in seeking care (P = .003 and P = .023, respectively).

CONCLUSIONS

Our findings suggest that enhancement of patients' symptom appraisal abilities and improvement in psychological distress may result in a reduction in delay in seeking medical care for worsening symptoms in rural patients with HF.

Depressive Symptoms and Incident Heart Failure Risk in the Southern Community Cohort Study

OBJECTIVES

This study aims to examine whether greater frequency of depressive symptoms associates with increased risk of incident heart failure (HF).

BACKGROUND

Depressive symptoms associate with adverse prognosis in patients with prevalent HF. Their association with incident HF is less studied, particularly in low-income and minority individuals.

METHODS

We studied 23,937 Black or White Southern Community Cohort Study participants (median age: 53 years, 70% Black, 64% women) enrolled between 2002 and 2009, without prevalent HF, receiving Centers for Medicare and Medicaid Services coverage. Cox models adjusted for traditional HF risk factors, socioeconomic and behavioral factors, social support, and antidepressant medications were used to quantify the association between depressive symptoms assessed at enrollment via the Center for Epidemiologic Studies Depression Scale (CESD-10) and incident HF ascertained from Centers for Medicare and Medicaid Services International Classification of Diseases-9th Revision (ICD-9) (code: 428.x) and ICD-10 (codes: I50, I110) codes through December 31, 2016.

RESULTS

The median CESD-10 score was 9 (IQR: 5 to 13). Over a median 11-year follow-up, 6,081 (25%) participants developed HF. The strongest correlates of CESD-10 score were antidepressant medication use, age, and socioeconomic factors, rather than traditional HF risk factors. Greater frequency of depressive symptoms associated with increased incident HF risk (per 8-U higher CESD-10 HR: 1.04; 95% CI: 1.00 to 1.09; P = 0.038) without variation by race or sex. The association between depressive symptoms and incident HF varied by antidepressant use (interaction-P = 0.03) with increased risk among individuals not taking antidepressants.

CONCLUSIONS

In this high-risk, low-income, cohort of predominantly Black participants, greater frequency of depressive symptoms significantly associates with higher risk of incident HF.

The effect of persistent anxiety and depressive symptoms on quality of life among patients with heart failure

BACKGROUND

Anxiety and depressive symptoms interfere with physical and psychological status, worsening symptoms and quality of life (QoL) among patients with heart failure (HF). This study assesses the impact of persistent anxiety and depressive symptoms on QoL among patients with HF in Jordan.

METHODS

This was a prospective observational study of a consecutive sample with a confirmed diagnosis of HF, recruited from four hospitals in Jordan during the period 1-31 March 2020. QoL was measured using the Arabic version of the Short Form 36 Health Survey, while anxiety and depressive symptoms were measured using the Hospital Anxiety and Depression Scale. Data were analyzed using descriptive statistics and stepwise multiple regression.

RESULTS

Of 127 patients who participated in the study, 72 (56.7%) were persistently anxious and 60 (47.3%) were persistently depressed. In multiple regression models, persistent anxiety, persistent depression, and higher levels of New York Heart Association functional class were independent predictors for both Physical Component Summary (of which history of DM was another predictor) and Mental Component Summary. The model explained 78.4% of the variance for PCS, P < 0.05. These predictors reduced QoL/(PCS) by 0.261, 0.398, 0.09, and 0.325 units respectively. Mental Component Summary (MCS) regression model explained 76.1% of the variance, P < 0.001. These predictors reduced QoL/(MCS) by 0.286, 0.346, and 0.359 units respectively.

CONCLUSIONS

Persistent anxiety and depressive symptoms were associated with poor QoL among patients with HF. It is highly recommended to assess psychological health for the patients with HF, especially anxiety and depression, and to include this dimension in treatment protocols.

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.

Physical Rehabilitation for Older Patients Hospitalized for Heart Failure

BACKGROUND

Older patients who are hospitalized for acute decompensated heart failure have high rates of physical frailty, poor quality of life, delayed recovery, and frequent rehospitalizations. Interventions to address physical frailty in this population are not well established.

METHODS

We conducted a multicenter, randomized, controlled trial to evaluate a transitional, tailored, progressive rehabilitation intervention that included four physical-function domains (strength, balance, mobility, and endurance). The intervention was initiated during, or early after, hospitalization for heart failure and was continued after discharge for 36 outpatient sessions. The primary outcome was the score on the Short Physical Performance Battery (total scores range from 0 to 12, with lower scores indicating more severe physical dysfunction) at 3 months. The secondary outcome was the 6-month rate of rehospitalization for any cause.

RESULTS

A total of 349 patients underwent randomization; 175 were assigned to the rehabilitation intervention and 174 to usual care (control). At baseline, patients in each group had markedly impaired physical function, and 97% were frail or prefrail; the mean number of coexisting conditions was five in each group. Patient retention in the intervention group was 82%, and adherence to the intervention sessions was 67%. After adjustment for baseline Short Physical Performance Battery score and other baseline characteristics, the least-squares mean (±SE) score on the Short Physical Performance Battery at 3 months was 8.3±0.2 in the intervention group and 6.9±0.2 in the control group (mean between-group difference, 1.5; 95% confidence interval [CI], 0.9 to 2.0; P<0.001). At 6 months, the rates of rehospitalization for any cause were 1.18 in the intervention group and 1.28 in the control group (rate ratio, 0.93; 95% CI, 0.66 to 1.19). There were 21 deaths (15 from cardiovascular causes) in the intervention group and 16 deaths (8 from cardiovascular causes) in the control group. The rates of death from any cause were 0.13 and 0.10, respectively (rate ratio, 1.17; 95% CI, 0.61 to 2.27).

CONCLUSIONS

In a diverse population of older patients who were hospitalized for acute decompensated heart failure, an early, transitional, tailored, progressive rehabilitation intervention that included multiple physical-function domains resulted in greater improvement in physical function than usual care. (Funded by the National Institutes of Health and others; REHAB-HF ClinicalTrials.gov number, NCT02196038.).

New horizons in cardiogeriatrics: geriatricians and heart failure care-the custard in the tart, not the icing on the cake

Heart failure (HF) can be considered a disease of older people. It is a leading cause of hospitalisation and is associated with high rates of morbidity and mortality in the over-65s. In 2012, an editorial in this journal detailed the latest HF research and guidelines, calling for greater integration of geriatricians in HF care. This current article reflects upon what has been achieved in this field in recent years, highlighting some future challenges and promising areas. It is written from the perspective of one such integrated team and explores the new role of cardiogeriatrician, working in a multidisciplinary team to deliver and improve care to increasingly complex, older, frail patients with multiple comorbidities who present with primary cardiology problems, especially decompensated HF. Geriatric liaison has improved the care of frail patients in orthopaedics, cancer services, stroke, acute medicine and numerous community settings. We propose that this vital role should now be extended to cardiology teams in general and to HF in particular.

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.

A Randomized Study Examining the Effects of Mild-to-Moderate Group Exercises on Cardiovascular, Physical, and Psychological Well-being in Patients With Heart Failure

PURPOSE

To compare 2 mild-to-moderate group exercises and treatment as usual (TAU) for improvements in physical function and depressive symptoms.

METHODS

Patients with heart failure (n = 70, mean age = 66 yr, range = 45-89 yr) were randomized to 16 wk of tai chi (TC), resistance band (RB) exercise, or TAU.

RESULTS

Physical function differed by group from baseline to follow-up, measured by distance walked in the 6-min walk test (F = 3.19, P = .03). Tai chi participants demonstrated a nonsignificant decrease of 162 ft (95% confidence interval [CI], 21 to -345, P = .08) while distance walked by RB participants remained stable with a nonsignificant increase of 70 ft (95% CI, 267 to -127, P = .48). Treatment as usual group significantly decreased by 205 ft (95% CI, -35 to -374, P = .02) and no group differences occurred over time in end-systolic volume (P = .43) and left ventricular function (LVEF) (P = .67). However, groups differed over time in the Beck Depression Inventory (F = 9.2, P < .01). Both TC and RB groups improved (decreased) by 3.5 points (95% CI, 2-5, P < .01). Treatment as usual group decreased insignificantly 1 point (95% CI, -1 to 3, P = .27).

CONCLUSIONS

Tai chi and RB participants avoided a decrease in physical function decrements as seen with TAU. No groups changed in cardiac function. Both TC and RB groups saw reduced depression symptoms compared with TAU. Thus, both TC and RB groups avoided a decrease in physical function and improved their psychological function when compared with TAU.

The Associations of Diagnoses of Fatigue and Depression With Use of Medical Services in Patients With Heart Failure

BACKGROUND

Fatigue and depression based on self-report and diagnosis are prevalent in patients with heart failure and adversely affect high rates of hospitalization and emergency department visits, which can impact use of medical services. The relationships of fatigue and depression to use of medical services in patients with preserved and reduced left ventricular ejection fraction (LVEF) may differ.

PURPOSE

We examined the associations of diagnoses of fatigue and depression with use of medical services in patients with preserved and reduced LVEF, controlling for covariates.

METHODS

Data were collected on fatigue, depression, covariates, and use of medical services. Patients (N = 582) were divided into 2 groups based on LVEF (<40%, reduced LVEF; ≥40%, preserved LVEF). Multiple linear regression analyses were used to analyze the data.

RESULTS

A diagnosis of fatigue was a significant factor associated with more use of medical services in the total sample (β = .18, P < .001, R = 54%) and patients with reduced LVEF (β = .13, P = .008, R = 54%) and also preserved LVEF (β = .21, P < .001, R = 54%), controlling for all covariates, but a diagnosis of depression was not.

CONCLUSIONS

This study demonstrates the important roles of a diagnosis of fatigue in use of medical services. Thus, fatigue needs to be assessed, diagnosed, and managed effectively.

Prevalence of depressive symptoms in patients with Heart Failure in China: a meta-analysis of comparative studies and epidemiological surveys

BACKGROUND

Although depressive symptoms is a frequent psychiatric comorbidity in people with Heart Failure (HF) in China, its prevalence was not estimated. This is a meta-analysis of studies examining depressive symptoms in HF patients in China.

METHODS

The following databases including PubMed, the Cochrace Library, Embase, China National Knowledge Infrastructure (CNKI), WanFang and VIP were independently and systematically searched from inception until March 31, 2019. Statistical analyses were performed using the Stata 13.0 software. The pooled prevalence of depressive symptoms was performed using a random-effects model. In addition, subgroup analysis was conducted based on the New York Heart Association (NYHA) functional class, the assessment tools of depression and gender.

RESULTS

Altogether 53 studies (10649 participants) met the inclusion criteria for the analysis. The point prevalence of depressive symptoms in HF was 43%. In subgroup analyses, the prevalence of depressive symptoms was higher in females than in males (46% vs 34%, respectively), and the prevalence of depressive symptoms positively correlated with New York Heart Association functional classes (II 28%, III 46%, IV 52%) . Rates of depression were highest when measured using BDI scale (62%), and lowest when measured using the CES-D (31%).

CONCLUSIONS

This meta-analysis confirmed that the prevalence of depressive symptoms was common in HF patients in China and it is related to the severity of heart failure, gender and the diversity of assessment tools. Appropriate strategies for prevention and treatment of depressive symptoms in this population need greater attention.

Frequency of Utilization of Beta Blockers in Patients With Heart Failure and Depression and Their Effect on Mortality

Beta blockers reduce mortality and morbidity in patients with heart failure. Early reports linking β-blockers with depression may have limited their use in heart failure patients with co-morbid depression. Although more recent studies have challenged the association between β-blocker therapy and depression, patient and physicians remain concerned. The goal of this study is to evaluate the utilization and outcomes of β-blocker therapy in heart failure patients with depression. This is a retrospective cohort study of patients at a multicenter integrated healthcare system with a diagnosis of heart failure from 2008 to 2014. Among 6,915 patients with heart failure with left ventricular ejection fraction of <50%, 1,252 (18.1%) had a diagnosis of depression. Patients with depression were more likely to be women and had a higher prevalence of cardiovascular risk factors. Depression was associated with decreased odds of β-blocker treatment (adjusted odds ratio [OR], 0.77; 95% confidence interval [CI], 0.62 to 0.95; p = 0.016). During a mean follow-up of 2.6 years, 439 (35.1%) patients with depression died compared with 1,549 (27.4%) patients without depression. Depressed patients not treated with β-blocker had higher mortality compared with nondepressed patients (adjusted hazard ratio [HR], 1.4, 95% CI 1.09 to 1.7, p = 0.005). When treated with β-blockers, their risk of mortality was attenuated (HR 1.1, 95% CI 0.97 to 1.2, p = 0.14). In conclusion, β-blocker therapy remains underutilized in heart failure patients with depression, and its underutilization contributes to the reduced survival rate observed in this cohort.

Palliative care for people living with heart failure: European Association for Palliative Care Task Force expert position statement

Contrary to common perception, modern palliative care (PC) is applicable to all people with an incurable disease, not only cancer. PC is appropriate at every stage of disease progression, when PC needs emerge. These needs can be of physical, emotional, social, or spiritual nature. This document encourages the use of validated assessment tools to recognize such needs and ascertain efficacy of management. PC interventions should be provided alongside cardiologic management. Treating breathlessness is more effective, when cardiologic management is supported by PC interventions. Treating other symptoms like pain or depression requires predominantly PC interventions. Advance Care Planning aims to ensure that the future treatment and care the person receives is concordant with their personal values and goals, even after losing decision-making capacity. It should include also disease specific aspects, such as modification of implantable device activity at the end of life. The Whole Person Care concept describes the inseparability of the physical, emotional, and spiritual dimensions of the human being. Addressing psychological and spiritual needs, together with medical treatment, maintains personal integrity and promotes emotional healing. Most PC concerns can be addressed by the usual care team, supported by a PC specialist if needed. During dying, the persons’ needs may change dynamically and intensive PC is often required. Following the death of a person, bereavement services benefit loved ones. The authors conclude that the inclusion of PC within the regular clinical framework for people with heart failure results in a substantial improvement in quality of life as well as comfort and dignity whilst dying.

Anxiety and depression predicted quality of life among patients with heart failure

Purpose

Anxiety and depression are prevalent among patients with heart failure. However, their effect on the quality of life (QoL) is not well investigated in developing countries. Therefore, the purpose of this study was to test the effect of anxiety and depression on QoL among Jordanian patients with heart failure.

Patients and methods

Two hundred patients with a confirmed diagnosis of heart failure from 1 governmental and 1 private hospital in Amman, Jordan, were recruited between March and August, 2017. A descriptive, cross-sectional design was used. Anxiety and depression were measured using the Arabic version of the Hospital Anxiety and Depression Scale. QoL was measured using the Arabic version of the Short Form-36.

Results

Patients reported poor QoL in both physical component summary (M ± SD; 35.8±9.6) and mental component summary (M ± SD; 41.5±11.3). Prevalence rates for anxiety and depression were 62% and 65%, respectively. In stepwise regression analysis, anxiety and depression were independent predictors for poor QoL in both summaries, p<0.001.

Conclusion

Patients with heart failure have poor QoL and high anxiety and high depression prevalence rates. Inclusion of routine assessment and management of anxiety and depression in heart failure protocols is highly recommended.

Design of a bilevel clinical trial targeting adherence in heart failure patients and their providers: The Congestive Heart Failure Adherence Redesign Trial (CHART)

BACKGROUND

Socioeconomically disadvantaged patients are at an increased risk for adverse heart failure (HF) outcomes based upon nonadherence to medications and diet. Physicians are also suboptimally adherent to prescribing evidence-based therapy for HF.

METHODS

Congestive Heart Failure Adherence Redesign Trial (CHART) (NCT01698242) is a multicenter, bilevel, cluster randomized behavioral efficacy trial designed to assess the impact of intervening simultaneously on physicians and their socioeconomically disadvantaged patients (annual income <$30,000) having HF with reduced ejection fraction. Treatment arm physicians received individualized feedback on their adherence to prescribing evidence-based therapy. Their patients received weekly home visits from community health workers aimed at promoting understanding of HF and integrating adherence into daily life. Control arm physicians received regular updates on advances in HF management, and patients received monthly HF educational tip sheets produced by the American Heart Association. The primary outcome was all-cause hospital days over 30 months.

RESULTS

A total of 72 physicians (treatment, 35; control, 37) and their 320 patients (treatment, 157; control, 163) were recruited within 2 years. Randomization of physicians with all of their patients being assigned to the same arm was feasible and did not compromise the comparability of patients by arm. Using 5 recruiting hospitals located within disadvantaged neighborhoods produced a cohort that was primarily African American and representative of low-income urban patients with HF with reduced ejection fraction.

CONCLUSION

CHART will determine the value of intervening on low adherence simultaneously in physicians and their socioeconomically disadvantaged patients in reducing all-cause hospitalization days.

Self-Care Behaviors in Heart Failure

OBJECTIVE

To identify self-care behaviors, instruments, techniques, parameters for the assessment of self-care behaviors in people with heart failure, compare these behaviors with the indicators of the Nursing Outcomes Classification outcome, Self Management: Cardiac Disease.

METHOD

Integrative literature review performed in Lilacs, Medline, CINAHL, and Cochrane, including publications from 2009 to 2015. One thousand six hundred ninety-one articles were retrieved from the search, of which 165 were selected for analysis.

RESULTS

Ten self-care behaviors and several different assessment instruments, techniques, and parameters were identified. The addition and removal of some indicators are proposed, based on this review. The data provide substrate for the development of conceptual and operational definitions of the indicators, making the outcome more applicable for use in clinical practice.

Relationship between depression and medication adherence in cardiovascular disease: the perfect challenge for the integrated care team

Many individuals with cardiovascular disease (CVD) experience depression that is associated with poor health outcomes, which may be because of medication nonadherence. Several factors influence medication adherence and likely influence the relationship between depression and medication adherence in CVD patients. This comprehensive study reviews the existing literature on depression and medication adherence in CVD patients, addresses the methods of and problems with measuring medication adherence, and explains why the integrated care team is uniquely situated to improve the outcomes in depressed CVD patients. This paper also explores how the team can collaboratively target depressive symptoms and medication-taking behavior in routine clinical care. Finally, it suggests the limitations to the integrated care approach, identifies targets for future research, and discusses the implications for CVD patients and their families.

Differing Effects of Fatigue and Depression on Hospitalizations in Men and Women With Heart Failure

BACKGROUND

In patients with heart failure, worsening of signs and symptoms and depression can affect hospitalization and also each other, resulting in synergistic effects on hospitalizations. A patient's sex may play a role in these effects.

OBJECTIVES

To determine the effects of fatigue and depression on all-cause hospitalization rates in the total sample and in subgroups of men and women.

METHODS

A secondary analysis was done of data collected January 1, 2010, through December 31, 2012 (N = 582; mean age, 63.2 years [SD, 14.4]). Data were collected on fatigue, depression, sample characteristics, vital signs, results of laboratory tests, medications, and frequency of hospitalization. Patients were categorized into 4 groups on the basis of the International Classification of Diseases, Ninth Revision: no fatigue or depression, fatigue only, depression only, and both fatigue and depression. General linear regression was used to analyze the data.

RESULTS

In both the total sample and the subgroups, the number of hospitalizations in patients with both fatigue and depression was greater than the number in patients without either symptom. Among women, the number of hospitalizations in the fatigue-only group and in the depression-only group was greater than that in the group with neither symptom. In men, the number of hospitalizations in the fatigue-only group was greater than that in the group without either symptom.

CONCLUSION

Fatigue and depression do not have synergistic effects on hospitalization, but men and women differ in the effects of these symptoms on hospitalization.

Timing and Causes of Readmission After Acute Heart Failure Hospitalization-Insights From the Heart Failure Network Trials

BACKGROUND

Readmission or death after heart failure (HF) hospitalization is a consequential and closely scrutinized outcome, but risk factors may vary by population. We characterized the risk factors for post-discharge readmission/death in subjects treated for acute heart failure (AHF).

METHODS AND RESULTS

A post hoc analysis was performed on data from 744 subjects enrolled in 3 AHF trials conducted within the Heart Failure Network (HFN): Diuretic Optimization Strategies Evaluation in Acute Heart Failure (DOSE-AHF), Cardiorenal Rescue Study in Acute Decompensated Heart Failure (CARRESS-HF), and Renal Optimization Strategies Evaluation in Acute Heart Failure (ROSE-AHF). All-cause readmission/death occurred in 26% and 38% of subjects within 30 and 60 days of discharge, respectively. Non-HF cardiovascular causes of readmission were more common in the ≤30-day timeframe than in the 31-60-day timeframe (23% vs 10%, P = .016). In a Cox proportional hazards model adjusting a priori for left ventricular ejection fraction <50% and trial, the risk factors for all-cause readmission/death included: elevated baseline blood urea nitrogen, angiotensin-converting enzyme inhibitor (ACEI)/angiotensin receptor blocker (ARB) non-use, lower baseline sodium, non-white race, elevated baseline bicarbonate, lower systolic blood pressure at discharge or day 7, depression, increased length of stay, and male sex.

CONCLUSIONS

In an AHF population with prominent congestion and prevalent renal dysfunction, early readmissions were more likely to be due to non-HF cardiovascular causes compared with later readmissions. The association between use of ACEI/ARB and lower all-cause readmission/death in Cox proportional hazards model suggests a role for these drugs to improve post-discharge outcomes in AHF.

Diagnosis of Dilated Cardiomyopathy: Patient Reaction and Adaptation-Case Study and Review of the Literature

Objective. Heart failure remains a major cause of morbidity and mortality. Given that heart failure generally has a chronic course, it is important to appreciate the impact it can have on the quality of life of patients and also their partners or family carers. Method. Questionnaires were given to a patient newly diagnosed with dilated cardiomyopathy, during his hospital admission, as well as after discharge. The responses are summarised and explored in the discussion section, where we used review of the literature to discuss the implications of a new diagnosis of heart failure. Results. The patient's responses to the questionnaires suggest certain anxieties that are part of his adaptation to the diagnosis of heart failure. Conclusion. Depression is a common comorbid condition in patients with heart failure. Various tools can be used to screen for depression in patients with heart failure. Both pharmacological and nonpharmacological options are available. Rapid evaluation of ongoing problems and active participation by a psychiatrist can ensure that the patient receives the best possible clinical care.

Depression and Multiple Rehospitalizations in Patients With Heart Failure

BACKGROUND

There have been few studies of the effect of depression on rehospitalization in patients with heart failure (HF), and even fewer on its role in multiple rehospitalizations.

HYPOTHESIS

Depression is an independent risk factor for multiple readmissions in patients with HF.

METHODS

A cohort of 662 patients with HF who were discharged alive after hospitalization were interviewed to evaluate symptoms of depression and were followed for 1 year. All-cause readmissions were documented by chart review. A marginal proportional rates model was used to model the effect of depression on the rate of rehospitalization with adjustment for known predictors of HF outcomes.

RESULTS

Depression symptoms predicted multiple readmissions (adjusted hazard ratio [HR]: 1.08, 95% confidence interval [CI]: 1.03-1.13, P = 0.0008). Compared with patients without depression, those who met the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV) criteria for major depression at index were at the highest risk for multiple rehospitalizations (HR: 1.51, 95% CI: 1.15-1.97, P = 0.003).

CONCLUSIONS

Depression is an independent risk factor for multiple all-cause readmissions in patients with HF.

The prognostic impact and optimal timing of the Patient Health Questionnaire depression screen on 4-year mortality among hospitalized patients with systolic heart failure

OBJECTIVE

An American Heart Association (AHA) Science Advisory recommends patients with coronary heart disease undergo routine screening for depressive symptoms with the two-stage Patient Health Questionnaire (PHQ). However, little is known on the prognostic impact of a positive PHQ screen on heart failure (HF) mortality.

METHODS

We screened hospitalized patients with systolic HF (left ventricle ejection fraction≤40%) for depression with the two-item Patient Health Questionnaire (PHQ-2) and administered the follow-up nine-item Patient Health Questionnaire (PHQ-9) both immediately following the PHQ-2 and by telephone 1 month after discharge. Later, we ascertained vital status at 4-year follow-up on all patients who completed the inpatient PHQ-9 and calculated mortality incidence and risk by baseline PHQ.

RESULTS

Of the 520 HF patients we enrolled, 371 screened positive for depressive symptoms on the PHQ-2. Of these, 63% scored PHQ-9≥10 versus 24% of those who completed the PHQ-9 1 month later (P<.001). PHQ-2 positive status was an independent predictor of 4-year all-cause mortality (HR: 1.50; P=.04), and mortality incidence was similar by baseline PHQ-9 score.

CONCLUSIONS

Among hospitalized patients with systolic HF, a positive PHQ-2 screen for depressive symptoms is an independent risk factor for increased 4-year all-cause mortality. Our findings extend the AHA's Science Advisory for depression to hospitalized patients with systolic HF.

Psychosocial Factors and Risk of Incident Heart Failure: The Multi-Ethnic Study of Atherosclerosis

BACKGROUND

Heart failure (HF) is a major source of morbidity and mortality in the United States. Psychosocial factors have frequently been studied as risk factors for coronary heart disease but not for HF.

METHODS AND RESULTS

We examined the relationship between psychological status and incident HF among 6782 individuals from the Multi-Ethnic Study of Atherosclerosis (MESA). Anger, anxiety, chronic stress, depressive symptoms, and hostility were measured using validated scales, and physician reviewers adjudicated incident HF events. Cox proportional hazards models were used to adjust for relevant demographic, behavioral, and physiological covariates. Interactions by age, race, sex, and self-reported health were examined in exploratory analyses. During a mean follow-up of 9.3 years, 242 participants developed incident HF. There was no association between psychosocial factors and HF hazard ratios (95% confidence interval) for the highest versus lowest quartile: anger=1.14 (0.81-1.60), anxiety=0.74 (0.51-1.07), chronic stress=1.25 (0.90-1.72), depressive symptoms=1.19 (0.76-1.85), and hostility=0.95 (0.62-1.42). In exploratory analysis, among the participants reporting fair/poor health at baseline, those reporting high versus low levels of anxiety, chronic stress, and depressive symptoms had 2-fold higher risk of incident HF, but there was no association for those with good/very good/excellent self-reported health.

CONCLUSIONS

Overall, these psychosocial factors were not significantly associated with incident HF. However, for participants reporting poor health at baseline, there was evidence that anxiety, chronic stress, and depressive symptoms were associated with increased risk of HF. Future research with greater statistical power is necessary to replicate these findings and seek explanations.

Preliminary Investigation on the Association between Depressive Symptoms and Driving Performance in Heart Failure

Heart failure (HF) patients commit many errors on driving simulation tasks and cognitive dysfunction appears to be one important contributor to impaired driving in HF. Clinical modifiers of cognition may also play a key role. In particular, depression is common in HF patients, linked with cognitive dysfunction, and contributes to reduced driving fitness in non-HF samples. However, the associations among depressive symptoms, cognition, and driving in HF are unclear. Eighteen HF patients completed a validated simulated driving scenario, the Beck Depression Inventory-II (BDI-II), and a cognitive test battery. Partial correlations controlling for demographic and medical confounds showed higher BDI-II score correlated with greater number of collisions, centerline crossings, and % time out of lane. Increased depressive symptoms correlated with lower attention/executive function, and reduced performance in this domain was associated with a greater number of collisions, centerline crossing, and % time out of lane. Depressive symptoms may be related to poorer driving performance in HF, perhaps through association with cognitive dysfunction. However, larger studies with on-road testing are needed to replicate our preliminary findings before recommendations for clinical practice can be made.

The relationship between frailty, anxiety and depression, and health-related quality of life in elderly patients with heart failure

Objective

Elderly people constitute over 80% of the population of patients with heart failure (HF). Frailty is a distinct biological syndrome that reflects decreased physiologic reserve and resistance to stressors. Moreover, frailty can serve as an independent predictor of visits to the emergency department, hospitalizations, and mortality. The purpose of this paper was to assess the relationship between frailty, anxiety and depression, and the health-related quality of life (HRQoL) of elderly patients with HF.

Patients and methods

The study included 100 patients (53 men and 47 women) with a diagnosis of HF. Frailty was measured using the Tilburg Frailty Indicator (TFI) scale. HRQoL was measured using the 36-Item Short Form Medical Outcomes Study Survey. To determine the prevalence of anxiety and depression, the Hospital Anxiety and Depression Scale was used.

Results

Frailty was found in 89% of the studied population. The study showed significant inverse correlations between the values of the physical component scale (PCS) domain results and TFI score, and a significant inverse correlation between the values of the mental component scale (MCS) domain and TFI score. When participants showed increased levels of frailty as measured by the TFI scale, there was also an increase in the levels of anxiety and depression. With increased anxiety and depression, there was deterioration in the quality of life of patients with HF.

Conclusion

Frailty has a negative impact on the HRQoL results of elderly patients with HF. The assessment of frailty syndrome, and anxiety and depression should be taken into account when estimating risk and making therapeutic decisions for cardiovascular disease treatment and care.

Using Administrative Mental Health Indicators in Heart Failure Outcomes Research: Comparison of Clinical Records and International Classification of Disease Coding

BACKGROUND

Use of mental indication in health outcomes research is of growing interest to researchers. This study, as part of a larger research program, quantified agreement between administrative International Classification of Disease (ICD-9) coding for, and "gold standard" clinician documentation of, mental health issues (MHIs) in hospitalized heart failure (HF) patients to determine the validity of mental health administrative data for use in HF outcomes research.

METHODS

A 13% random sample (n = 504) was selected from all unique patients (n = 3,769) hospitalized with a primary HF diagnosis at 4 San Diego County community hospitals during 2009-2012. MHI was defined as ICD-9 discharge diagnostic coding 290-319. Records were audited for clinician documentation of MHI.

RESULTS

A total of 43% (n = 216) had mental health clinician documentation; 33% (n = 164) had ICD-9 coding for MHI. ICD-9 code bundle 290-319 had 0.70 sensitivity, 0.97 specificity, and kappa 0.69 (95% confidence interval 0.61-0.79). More specific ICD-9 MHI code bundles had kappas ranging from 0.44 to 0.82 and sensitivities ranging from 42% to 82%.

CONCLUSIONS

Agreement between ICD-9 coding and clinician documentation for a broadly defined MHI is substantial, and can validly "rule in" MHI for hospitalized patients with heart failure. More specific MHI code bundles had fair to almost perfect agreement, with a wide range of sensitivities for identifying patients with an MHI.

Health Literacy Predicts Morbidity and Mortality in Rural Patients With Heart Failure

BACKGROUND

Patients hospitalized with heart failure are often readmitted. Health literacy may play a substantial role in the high rate of readmissions. The purpose of this study was to examine the association of health literacy with the composite end point of heart failure readmission rates and all-cause mortality in patients with heart failure living in rural areas.

METHODS AND RESULTS

Rural adults (n = 575), hospitalized for heart failure within the past 6 months, completed the Short Test of Functional Health Literacy in Adults (STOFHLA) to measure health literacy and were followed for ≥2 years. The percentage of patients with the end point of heart failure readmission or all-cause death was different (P = .001) among the 3 STOFHLA score levels. Unadjusted analysis revealed that patients with inadequate and marginal health literacy were 1.94 (95% confidence interval [CI] 1.43-2.63; P < .001) times, and 1.91 (95% CI 1.36-2.67; P < .001) times, respectively, more likely to experience the outcome. After adjustment for covariates, health literacy remained a predictor of outcomes. Of the other covariates, worse functional class, higher comorbidity burden, and higher depression score predicted worse outcomes.

CONCLUSIONS

Inadequate or marginal health literacy is a risk factor for heart failure rehospitalization or all-cause mortality among rural patients with heart failure.

Assessment of Coping Strategies and Their Associations With Health Related Quality of Life in Patients With Chronic Heart Failure: the Brief COPE Restructured

Background

Individuals with chronic heart failure (CHF) need to cope with both the physical limitations and the psychological impacts of the disease. Since some coping strategies are beneficial and others are linked to increased mortality and worse health-related quality of life (HRQoL), it is important to have a reliable and valid instrument to detect different coping styles. Brief COPE, a self-reporting questionnaire, has been previously used in the context of CHF. There is, however, currently a lack of consensus about the theoretical or empirical foundations for grouping the multiple coping strategies assessed by Brief COPE into higher order categories of coping. The main purpose of this study was to examine the structure of Brief COPE, founded on the higher order grouping of its subscales in order to establish an assessment model supported by theoretical considerations. Furthermore, the associations between these higher order categories of coping and HRQoL were examined to establish the predictive validity of the selected model in the context of CHF.

Method

One hundred eighty-three patients diagnosed with CHF were recruited at a heart failure outpatient clinic or at a cardiac ward. Self-reported questionnaires were filled in to measure coping strategies and HRQoL. Confirmatory factor analyses were performed to investigate different hierarchical structures of Brief COPE found in the literature to assess coping strategies in patients with CHF. Regression analyses explored associations of aggregated coping strategies with HRQoL.

Results

A four factorial structure of Brief COPE displayed the most adequate psychometric properties, consisting of problem focused coping, avoidant coping, socially supported coping and emotion focused coping. Avoidant coping was associated with worse HRQoL in CHF.

Conclusions

This study provides support for a four-factor model of coping strategies in patients with CHF. This could facilitate assessment of coping both in clinical and research settings.

The Role of Gratitude in Spiritual Well-being in Asymptomatic Heart Failure Patients

Spirituality and gratitude are associated with wellbeing. Few if any studies have examined the role of gratitude in heart failure (HF) patients or whether it is a mechanism through which spirituality may exert its beneficial effects on physical and mental health in this clinical population. This study examined associations bet ween gratitude, spiritual wellbeing, sleep, mood, fatigue, cardiac-specific self-efficacy, and inflammation in 186 men and women with Stage B asymptomatic HF (age 66.5 years ±10). In correlational analysis, gratitude was associated with better sleep (r=-.25, p<0.01), less depressed mood (r=-.41, p<0.01), less fatigue (r=-.46, p<0.01), and better self-efficacy to maintain cardiac function (r=.42, p<0.01). Patients expressing more gratitude also had lower levels of inflammatory biomarkers (r=-.17, p<0.05). We further explored relationships among these variables by examining a putative pathway to determine whether spirituality exerts its beneficial effects through gratitude. We found that gratitude fully mediated the relationship between spiritual wellbeing and sleep quality (z=-2.35, SE=.03, p=.02) and also the relationship between spiritual wellbeing and depressed mood (z=-4.00, SE=.075, p<.001). Gratitude also partially mediated the relationships between spiritual wellbeing and fatigue (z=-3.85, SE=.18, p<.001), and between spiritual wellbeing and self-efficacy (z=2.91, SE=.04, p=.003). In sum, we report that gratitude and spiritual wellbeing are related to better mood and sleep, less fatigue, and more self-efficacy, and that gratitude fully or partially mediates the beneficial effects of spiritual wellbeing on these endpoints. Efforts to increase gratitude may be a treatment for improving wellbeing in HF patients' lives and be of potential clinical value.

Management of Heart Failure in Patients Nearing the End of Life-There is So Much More To Do

As the population of patients living with heart failure increases, the number of patients who will die with and from heart failure increases as well. End-of-life care in patients with heart failure is an additive process, whereby therapies to treat symptoms not alleviated by guideline-based medical therapy are integrated into the care of these individuals. This review focuses on providing clinicians with a basic framework for administration of end-of-life care in patients with heart failure, specifically focusing on decision-making, symptom management and functional management.

Depressive symptoms and spiritual wellbeing in asymptomatic heart failure patients

Depression adversely predicts prognosis in individuals with symptomatic heart failure. In some clinical populations, spiritual wellness is considered to be a protective factor against depressive symptoms. This study examined associations among depressive symptoms, spiritual wellbeing, sleep, fatigue, functional capacity, and inflammatory biomarkers in 132 men and women with asymptomatic stage B heart failure (age 66.5 years ± 10.5). Approximately 32 % of the patients scored ≥10 on the Beck Depression Inventory, indicating potentially clinically relevant depressive symptoms. Multiple regression analysis predicting fewer depressive symptoms included the following significant variables: a lower inflammatory score comprised of disease-relevant biomarkers (p < 0.02), less fatigue (p < 0.001), better sleep (p < 0.04), and more spiritual wellbeing (p < 0.01) (overall model F = 26.6, p < 0.001, adjusted R square = 0.629). Further analyses indicated that the meaning (p < 0.01) and peace (p < 0.01) subscales, but not the faith (p = 0.332) subscale, of spiritual wellbeing were independently associated with fewer depressive symptoms. Interventions aimed at increasing spiritual wellbeing in patients lives, and specifically meaning and peace, may be a potential treatment target for depressive symptoms asymptomatic heart failure.

Can valid and practical risk-prediction or casemix adjustment models, including adjustment for comorbidity, be generated from English hospital administrative data (Hospital Episode Statistics)? A national observational study

Background

NHS hospitals collect a wealth of administrative data covering accident and emergency (A&E) department attendances, inpatient and day case activity, and outpatient appointments. Such data are increasingly being used to compare units and services, but adjusting for risk is difficult.

Objectives

To derive robust risk-adjustment models for various patient groups, including those admitted for heart failure (HF), acute myocardial infarction, colorectal and orthopaedic surgery, and outcomes adjusting for available patient factors such as comorbidity, using England’s Hospital Episode Statistics (HES) data. To assess if more sophisticated statistical methods based on machine learning such as artificial neural networks (ANNs) outperform traditional logistic regression (LR) for risk prediction. To update and assess for the NHS the Charlson index for comorbidity. To assess the usefulness of outpatient data for these models.

Main outcome measures

Mortality, readmission, return to theatre, outpatient non-attendance. For HF patients we considered various readmission measures such as diagnosis-specific and total within a year.

Methods

We systematically reviewed studies comparing two or more comorbidity indices. Logistic regression, ANNs, support vector machines and random forests were compared for mortality and readmission. Models were assessed using discrimination and calibration statistics. Competing risks proportional hazards regression and various count models were used for future admissions and bed-days.

Results

Our systematic review and empirical analysis suggested that for general purposes comorbidity is currently best described by the set of 30 Elixhauser comorbidities plus dementia. Model discrimination was often high for mortality and poor, or at best moderate, for other outcomes, for examplec = 0.62 for readmission andc = 0.73 for death following stroke. Calibration was often good for procedure groups but poorer for diagnosis groups, with overprediction of low risk a common cause. The machine learning methods we investigated offered little beyond LR for their greater complexity and implementation difficulties. For HF, some patient-level predictors differed by primary diagnosis of readmission but not by length of follow-up. Prior non-attendance at outpatient appointments was a useful, strong predictor of readmission. Hospital-level readmission rates for HF did not correlate with readmission rates for non-HF; hospital performance on national audit process measures largely correlated only with HF readmission rates.

Conclusions

Many practical risk-prediction or casemix adjustment models can be generated from HES data using LR, though an extra step is often required for accurate calibration. Including outpatient data in readmission models is useful. The three machine learning methods we assessed added little with these data. Readmission rates for HF patients should be divided by diagnosis on readmission when used for quality improvement.

Future work

As HES data continue to develop and improve in scope and accuracy, they can be used more, for instance A&E records. The return to theatre metric appears promising and could be extended to other index procedures and specialties. While our data did not warrant the testing of a larger number of machine learning methods, databases augmented with physiological and pathology information, for example, might benefit from methods such as boosted trees. Finally, one could apply the HF readmissions analysis to other chronic conditions.

Funding

The National Institute for Health Research Health Services and Delivery Research programme.

Identification of symptom clusters among patients with heart failure: an international observational study

BACKGROUND

Virtually all patients with heart failure experience multiple symptoms simultaneously, yet clinicians and researchers usually consider symptoms in isolation. Recognizing and responding early to escalating symptoms is essential to preventing hospitalizations in heart failure, yet patients have considerable difficulty recognizing symptoms. Identification of symptom clusters could improve symptom recognition, but cultural differences may be present that must be considered.

OBJECTIVES

To identify and compare symptom clusters in heart failure patients from the United States, Europe and Asia.

DESIGN

Cross-sectional, observational study.

SETTINGS

In- and out-patient settings in three regions of the world: Asia (i.e., China and Taiwan); Europe (i.e., the Netherlands and Sweden); and the United States.

PARTICIPANTS

A total of 720 patients with confirmed heart failure. Propensity scoring using New York Heart Association Classification was used to match participants from each of the three regions.

METHODS

Symptoms were identified using the Minnesota Living with Heart Failure Questionnaire. To identify symptom clusters we used cluster analysis with the hierarchical cluster agglomerative approach. We used the Euclidean distance to measure the similarity of variables. Proximity between groups of variables was measured using Ward's method. The resulting clusters were displayed with dendrograms, which show the proximity of variables to each other on the basis of semi-partial R-squared scores.

RESULTS

There was a core group of symptoms that formed two comparable clusters across the countries. Dyspnea, difficulty in walking or climbing, fatigue/increased need to rest, and fatigue/low energy were grouped into a cluster, which was labeled as a physical capacity symptom cluster. Worrying, feeling depressed, and cognitive problems were grouped into a cluster, which was labeled as an emotional/cognitive symptom cluster. The symptoms of edema and trouble sleeping were variable among the countries and fell into different clusters.

CONCLUSION

Despite the diversity in cultures studied, we found that symptoms clustered similarly among the cultural groups. Identification of similar symptoms clusters among patients with heart failure may improve symptom recognition in both patients and healthcare providers.

Poor social support is associated with increases in depression but not anxiety over 2 years in heart failure outpatients

BACKGROUND

Heart failure (HF) is a major health problem in the United States, affecting 5.7 million American adults. Psychosocial distress, in particular depression, contributes to morbidity and mortality in patients with HF. Little is known about the interrelationship among disease severity, social support, and depression.

OBJECTIVE

The aim of this study was to examine the contributions of social support and disease severity to longitudinal changes in depression and anxiety of outpatients with HF.

METHODS

Patients (N = 108) enrolled in the Psychosocial Factors Outcome Study completed the Beck Depression Inventory-II, the State Trait Anxiety Inventory, and the Social Support Questionnaire-6 at study entry and every 6 months for up to 2 years.

RESULTS

At baseline, 30% of the patients were depressed and 42% were anxious. Social support amount contributed to changes in depression (P = .044) but not anxiety (P = .856). Depression increased over time for patients who had lower initial social support amount. Depression did not increase for those with higher initial social support amount. Neither New York Heart Association class nor treatment group (placebo or implantable cardioverter defibrillator) interacted with time to predict depression, which indicates that changes in depression were parallel for patients with New York Heart Association class II and class III HF and for those who received implantable cardioverter defibrillators and those who did not. Assessment of patients with HF should include depression and social support. Interventions to enhance social support among patients with HF who have low social support may help alleviate the development of depression.

CONCLUSIONS

Reducing psychological distress and increasing social support may improve health outcomes among HF outpatients. It is important for studies of HF to include assessment of depression, anxiety, and social support and evaluate their contributions to health outcomes.

Depression after heart failure and risk of cardiovascular and all-cause mortality: a meta-analysis

OBJECTIVES

The aim of this study is to investigate whether depression after heart failure (HF) was a predictor for subsequent cardiovascular and all-cause mortality in prospective observational studies.

METHODS

Pubmed, Embase, and PsycInfo databases were searched for prospective studies reported depression after HF and subsequent risk of cardiovascular or all-cause mortality (prior to May 2013). Pooled adjust hazard ratio (HR) and corresponding 95% confidence intervals (CI) were calculated separately for categorical risk estimates.

RESULTS

Nine studies with 4012 HF patients were identified and analyzed. Pooled HR of all-cause mortality was 1.51 (95% CI 1.19-1.91) for depression compared with non-depressive patients. Subgroup analyses showed that major depression significantly increased all-cause mortality (HR=1.98, 95% CI 1.23-3.19), but not mild depression (HR=1.04, 95% CI 0.75-1.45). Pooled HR of cardiovascular mortality was 2.19 (95% CI 1.46-3.29) for depression compared with non-depressive patients.

CONCLUSION

Major depression after HF was a predictor for subsequent all-cause mortality, but not mild depression. More well-designed studies are needed to explore the influence of depression and antidepressant medication use on cardiovascular and all-cause mortality in HF patients.

Association of anxiety disorders and depression with incident heart failure

OBJECTIVE

Depression has been associated with increased risk of heart failure (HF). Because anxiety is highly comorbid with depression, we sought to establish if anxiety, depression, or their co-occurrence is associated with incident HF.

METHODS

A retrospective cohort (N = 236,079) including Veteran's Administration patients (age, 50-80 years) free of cardiovascular disease (CVD) at baseline was followed up between 2001 and 2007. Cox proportional hazards models were computed to estimate the association between anxiety disorders alone, major depressive disorder (MDD) alone, and the combination of anxiety and MDD, with incident HF before and after adjusting for sociodemographics, CVD risk factors (Type 2 diabetes, hypertension, hyperlipidemia, obesity), nicotine dependence/personal history of tobacco use, substance use disorders (alcohol and illicit drug abuse/dependence), and psychotropic medication.

RESULTS

Compared with unaffected patients, those with anxiety only, MDD only, and both disorders were at increased risk for incident HF in age-adjusted models (hazard ratio [HR] = 1.19 [ 95% confidence interval {CI} = 1.10-1.28], HR = 1.21 [95% CI = 1.13-1.28], and HR = 1.24 [95% CI = 1.17-1.32], respectively). After controlling for psychotropics in a full model, the association between anxiety only, MDD only, and both disorders and incident HF increased (HRs = 1.46, 1.56, and 1.74, respectively).

CONCLUSIONS

Anxiety disorders, MDD, and co-occurring anxiety and MDD are associated with incident HF in this large cohort of Veteran's Administration patients free of CVD at baseline. This risk of HF is greater after accounting for protective effects of psychotropic medications. Prospective studies are needed to clarify the role of depression and anxiety and their pharmacological treatment in the etiology of HF.

Depression screening in uninsured patients in a primary care setting

There is a strong correlation between chronic disease and depression; however, screening patients for depression is not typical in the primary care setting due to factors such as time constraints and the provider's ability to diagnose and manage depression. This study sought to: (1) determine the prevalence of depression in uninsured or underinsured patients with chronic diseases using a screening instrument validated for use in the primary care setting, (2) provide a referral to the patient's primary care provider (PCP) for depression management prior to disease management as needed, and (3) enroll patients for chronic disease management services. The study utilized a cross-sectional design consisting of a self-administered survey and medical record review after physician and nursing appointments. Patients completed the Beck Depression Inventory for Primary Care (BDI-PC) upon program enrollment. Patients that screened positively for depression were referred to the PCP for follow-up services prior to entry into one of the disease management programs. After PCP appointments took place, medical records were reviewed to obtain medical and depression diagnoses, along with mediation recommendations. Forty-one patients were enrolled in the clinic program and completed the depression screening. Eight patients were found to have mild depression and two patients had moderate depression as determined by the BDI-PC, which accounted for 24% of the clinic patients. Four of the patients with mild depression and both patients with moderate depression initiated antidepressant therapy. Additionally, three patients with minimal scores on the screening began medication therapy based on symptoms reported to the PCP. The results of this study suggest that it is feasible to incorporate a depression-screening tool in a primary care setting with further evaluation and follow-up by primary care providers.

The effect of a lung cancer care coordination program on timeliness of care

BACKGROUND

Timeliness of care improves patient satisfaction and might improve outcomes. The CCCP was established in November 2007 to improve timeliness of care of NSCLC at the Veterans Affairs Connecticut Healthcare System (VACHS).

PATIENTS AND METHODS

We performed a retrospective cohort analysis of patients diagnosed with NSCLC at VACHS between 2005 and 2010. We compared timeliness of care and stage at diagnosis before and after the implementation of the CCCP.

RESULTS

Data from 352 patients were analyzed: 163 with initial abnormal imaging between January 1, 2005 and October 31, 2007, and 189 with imaging conducted between November 1, 2007 and December 31, 2010. Variables associated with a longer interval between the initial abnormal image and the initiation of therapy were: (1) earlier stage (mean of 130 days for stages I/II vs. 87 days for stages III/IV; P < .0001); (2) lack of cancer-related symptoms (145 vs. 60 days; P < .0001); (3) presence of more than 1 medical comorbidity (123 vs. 82; P = .0002); and (4) depression (126 vs. 98 days; P = .029). The percent of patients diagnosed at stages I/II increased from 32% to 48% (P = .006) after establishment of the CCCP. In a multivariate model adjusting for stage, histology, reason for imaging, and presence of primary care provider, implementation of the CCCP resulted in a mean reduction of 25 days between first abnormal image and the initiation of treatment (126 to 101 days; P = .015).

CONCLUSION

A centralized, multidisciplinary, hospital-based CCCP can improve timeliness of NSCLC care, and help ensure that early stage lung cancers are diagnosed and treated.

Economics of psychosocial factors in patients with cardiovascular disease

Growing evidence supports a causal relationship between cardiovascular disease and psychosocial factors such as mental health and behavioral disorders, acute and chronic stress, and low socioeconomic status. While this has enriched our understanding of the interaction between cardiovascular risk factors, much less is known about its economic implications. In this review, we evaluate the economic impact of psychosocial factors in persons at risk for or diagnosed with cardiovascular disease. Most studies have focused on depression and almost uniformly conclude that patients with cardiovascular disease and comorbid depression use a greater number of ambulatory and hospital services and incur higher overall costs. Additionally, comorbid depression may also reduce employment productivity in patients with cardiovascular disease, further magnifying its economic impact. Recent randomized trials have demonstrated that innovative care delivery models that target depression may reduce costs or at least be cost neutral while improving quality of life. The growing population burden and overlap of cardiovascular disease, comorbid mental illness, and other psychosocial factors suggest that future research identifying cost-effective or cost-saving treatment models may have significant health and economic implications.

Psychiatric co-morbidity is associated with increased risk of surgery in Crohn's disease

BACKGROUND

Psychiatric co-morbidity, in particular major depression and anxiety, is common in patients with Crohn's disease (CD) and ulcerative colitis (UC). Prior studies examining this may be confounded by the co-existence of functional bowel symptoms. Limited data exist examining an association between depression or anxiety and disease-specific endpoints such as bowel surgery.

AIMS

To examine the frequency of depression and anxiety (prior to surgery or hospitalisation) in a large multi-institution electronic medical record (EMR)-based cohort of CD and UC patients; to define the independent effect of psychiatric co-morbidity on risk of subsequent surgery or hospitalisation in CD and UC, and to identify the effects of depression and anxiety on healthcare utilisation in our cohort.

METHODS

Using a multi-institution cohort of patients with CD and UC, we identified those who also had co-existing psychiatric co-morbidity (major depressive disorder or generalised anxiety). After excluding those diagnosed with such co-morbidity for the first time following surgery, we used multivariate logistic regression to examine the independent effect of psychiatric co-morbidity on IBD-related surgery and hospitalisation. To account for confounding by disease severity, we adjusted for a propensity score estimating likelihood of psychiatric co-morbidity influenced by severity of disease in our models.

RESULTS

A total of 5405 CD and 5429 UC patients were included in this study; one-fifth had either major depressive disorder or generalised anxiety. In multivariate analysis, adjusting for potential confounders and the propensity score, presence of mood or anxiety co-morbidity was associated with a 28% increase in risk of surgery in CD (OR: 1.28, 95% CI: 1.03-1.57), but not UC (OR: 1.01, 95% CI: 0.80-1.28). Psychiatric co-morbidity was associated with increased healthcare utilisation.

CONCLUSIONS

Depressive disorder or generalised anxiety is associated with a modestly increased risk of surgery in patients with Crohn's disease. Interventions addressing this may improve patient outcomes.

Effect of psychosocial interventions on quality of life in patients with chronic heart failure: a meta-analysis of randomized controlled trials

BACKGROUND

Patients with chronic heart failure (CHF) usually experience poor quality of life (QoL). Psychosocial interventions tend to affect QoL in CHF. The aim of this study was to explore: 1) the effectiveness of psychosocial interventions on patients' QoL; 2) the magnitude of this effect; and 3) factors that appear to moderate the reported effect on QoL.

METHODS AND RESULTS

Meta-analysis of the data of 1,074 intervention patients and 1,106 control patients from 16 randomized controlled trials (RCTs) that reported QoL measures in treatment and control groups before and after a psychosocial intervention. Subgroup analyses were conducted between: 1) face-to-face versus telephone interventions; 2) interventions that included only patients versus those that included patients and their caregivers; and 3) interventions conducted by a physician and a nurse only, versus those conducted by a multidisciplinary team. Psychosocial interventions improved QoL of CHF patients (standardized mean difference 0.46, confidence interval [CI] 0.19-0.72; P < .001). Face-to-face interventions showed greater QoL improvement compared with telephone interventions (χ(2) = 5.73; df = 1; P < .02). Interventions that included caregivers did not appear to be significantly more effective (χ(2) = 1.12; df = 1; P > .29). A trend was found for multidisciplinary team approaches being more effective compared with nonmultidisciplinary approaches (χ(2) = 1.96; df = 1; P = .16).

CONCLUSIONS

A significant overall QoL improvement emerged after conducting psychosocial interventions with CHF patients. Interventions based on a face-to-face approach showed greater benefit for patients' QoL compared with telephone-based approaches. No significant advantage was found for interventions conducted by a multidisciplinary team compared with a physician and nurse approach, or for psychosocial interventions which included patients' caregivers compared with patient-only approaches.

Cardiac Depression Scale: Mokken scaling in heart failure patients

Background

There is a high prevalence of depression in patients with heart failure (HF) that is associated with worsening prognosis. The value of using a reliable and valid instrument to measure depression in this population is therefore essential. We validated the Cardiac Depression Scale (CDS) in heart failure patients using a model of ordinal unidimensional measurement known as Mokken scaling.

Findings

We administered in face-to-face interviews the CDS to 603 patients with HF. Data were analysed using Mokken scale analysis. Items of the CDS formed a statistically significant unidimensional Mokken scale of low strength (H<0.40) and high reliability (Rho>0.8).

Conclusions

The CDS has a hierarchy of items which can be interpreted in terms of the increasingly serious effects of depression occurring as a result of HF. Identifying an appropriate instrument to measure depression in patients with HF allows for early identification and better medical management.