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Zuluaga MC, Guallar-Castillón P, Rodríguez-Pascual C, Conde-Herrera M, Conthe P, Rodríguez-Artalejo F. Mechanisms of the association between depressive symptoms and long-term mortality in heart failure. Am Heart J 2010; 159:231-7. [PMID: 20152221 DOI: 10.1016/j.ahj.2009.11.011] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/17/2009] [Accepted: 11/12/2009] [Indexed: 11/24/2022]
Abstract
BACKGROUND The long-term prognostic influence of depression on patients hospitalized for heart failure (HF) is unknown. No previous study has examined systematically the mechanisms of the relationship between depression and mortality in HF. METHODS Prospective study of 433 patients hospitalized for HF-related emergencies in 4 Spanish hospitals. Baseline depressive symptoms were assessed with the 10-item Geriatric Depression Scale (GDS). The association between depressive symptoms and mortality was summarized with hazard ratios (HRs) obtained from Cox regression, with sequential adjustment for possible mechanisms of the association. RESULTS Of the 433 study participants, 103 (23.8%) had major depression (GDS-10 > or =5) at baseline. During a mean follow-up of 5.7 years, 305 deaths (70%) occurred. Compared with those who were not depressed, subjects with major depression showed higher mortality (age and sex-adjusted HR 1.52, 95% CI 1.15-2.01). Subsequent adjustment for comorbidity reduced the HR to 1.45 (95% CI 1.10-1.93). Additional adjustment for severity of cardiac lesion and for lifestyles, foremost physical inactivity, led to a HR of 1.27 (95% CI 0.95-1.70). After further adjustment for pharmacologic treatment of HF and particularly for disability in instrumental activities of daily living, the HR dropped almost to the null value (HR 1.10, 95% CI 0.82-1.49). CONCLUSIONS Depressive symptoms in patients hospitalized for HF are associated with higher long-term mortality; this association is largely explained by the frequent comorbidity, physical inactivity, and disability of these patients.
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Blecker S, Zhang Y, Ford DE, Guallar E, dosReis S, Steinwachs DM, Dixon LB, Daumit GL. Quality of care for heart failure among disabled Medicaid recipients with and without severe mental illness. Gen Hosp Psychiatry 2010; 32:255-61. [PMID: 20430228 PMCID: PMC3049927 DOI: 10.1016/j.genhosppsych.2010.02.002] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/03/2009] [Revised: 02/01/2010] [Accepted: 02/03/2010] [Indexed: 01/15/2023]
Abstract
OBJECTIVE To examine the association between severe mental illness (SMI) and quality of care in heart failure. METHODS We conducted a cohort study between 2001 and 2004 of disabled Maryland Medicaid participants with heart failure. Quality measures and clinical outcomes were compared for individuals with and without SMI. RESULTS Of 1801 individuals identified with heart failure, 341 had comorbid SMI. SMI was not associated with differences in quality measures, including left ventricular assessment [adjusted relative risk (aRR) 0.99; 95% CI 0.91-1.07], utilization of angiotensin converting enzyme (ACE) inhibitor or angiotensin receptor blocker (ARB) (aRR 1.04; 95% CI 0.92-1.17), or beta-blocker use (aRR 1.13; 95% CI 0.99-1.29). During the study period, 52.2% of individuals in the cohort filled a prescription for an ACE inhibitor or ARB and 45.5% filled a beta-blocker prescription. Individuals with and without SMI had similar rates of clinical outcomes, including hospitalizations, readmissions, and mortality. Both medication interventions were associated with improved mortality. CONCLUSIONS In this sample of disabled Medicaid recipients with heart failure, persons with SMI received similar quality of care as those without SMI. Both groups had low rates of beneficial medical treatments. Quality improvement programs should consider how best to target these vulnerable populations.
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Affiliation(s)
- Saul Blecker
- Division of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA.
| | - Yiyi Zhang
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, Maryland, Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Daniel E. Ford
- Division of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, Maryland, Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Eliseo Guallar
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, Maryland, Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Susan dosReis
- Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Donald M. Steinwachs
- Division of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Lisa B. Dixon
- Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD
| | - Gail L. Daumit
- Division of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, Maryland, Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, Maryland
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104
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Hayes SN. Broken-Hearted Women: The Complex Relationship between Depression and Cardiovascular Disease. WOMENS HEALTH 2009; 5:709-25. [DOI: 10.2217/whe.09.56] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
The importance of mind–body health relationships has been recognized for decades, but only recently has the wider medical and cardiovascular community become engaged in understanding and addressing the complex, bidirectional risk relationship between cardiovascular disease (CVD) and depression. Furthermore, it has become increasingly clear that there are incompletely understood sex differences in incidence and outcomes for both conditions that should guide treatment and future research efforts. This review will explore the role of depression in women as a risk factor for incident CVD, its impact on women already suffering from CVD, proposed psychobiologic mechanisms and links, and the implications of sex differences on diagnosis and treatment.
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Affiliation(s)
- Sharonne N Hayes
- Sharonne N Hayes, Cardiovascular Disease & Internal Medicine, Mayo Clinic College of Medicine, 200 First Street SW, Rochester, MN 55905, USA, Tel.: +1 507 284 3683, Fax: +1 507 266 9142,
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107
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May HT, Horne BD, Carlquist JF, Sheng X, Joy E, Catinella AP. Depression after coronary artery disease is associated with heart failure. J Am Coll Cardiol 2009; 53:1440-7. [PMID: 19371828 DOI: 10.1016/j.jacc.2009.01.036] [Citation(s) in RCA: 45] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/19/2008] [Revised: 12/16/2008] [Accepted: 01/14/2009] [Indexed: 10/20/2022]
Abstract
OBJECTIVES The purpose of this study was to evaluate the influence of post-coronary artery disease (CAD) depression diagnosis on heart failure (HF) incidence. BACKGROUND Depression has been shown to be a risk factor for poor outcomes among CAD patients. However, little is known about the influence of depression on HF development in CAD patients. METHODS Patients (n = 13,708) without a diagnosis of HF and depression (International Classification of Diseases-Ninth Revision [ICD-9] codes: 296.2 to 296.36 and 311) and who were not prescribed antidepressant medication (ADM) at the time of CAD diagnosis (>or=70% stenosis) were studied. For those with available medication records (n = 7,719), patients subsequently diagnosed with depression were stratified by use of ADM. Patients were followed until HF diagnosis (physician-diagnosed or ICD-9 code: 428) or death. Results were analyzed by Cox proportional hazards regression models. RESULTS A total of 1,377 patients (10.0%) had a post-CAD clinical depression diagnosis. The incidence of HF among those without a post-CAD depression diagnosis was 3.6 per 100 compared with 16.4 per 100 for those with a post-CAD depression diagnosis. Depression was associated with an increased risk for HF incidence (adjusted hazard ratio [HR]: 1.50, p < 0.0001). Results were similar among those with available follow-up medication information (vs. no depression: depression without ADM use [HR: 1.68, p < 0.0001]; depression with ADM use [HR: 2.00, p < 0.0001]). No difference was found between depressed patients with and without ADM treatment (HR: 0.84, p = 0.24). CONCLUSIONS Depression diagnosis was shown to be associated with an increased incidence of HF after CAD diagnosis, regardless of ADM treatment. This finding suggests the need to further study the effect of depression on HF risk among CAD patients.
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Affiliation(s)
- Heidi T May
- Intermountain Medical Center, Cardiovascular Research, Murray, Utah 84157, USA.
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