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      Depression increases the risk of mortality in patients with heart failure: A meta-analysis

      , , ,
      Journal of Psychosomatic Research
      Elsevier BV

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          Abstract

          <div class="section"> <a class="named-anchor" id="S1"> <!-- named anchor --> </a> <h5 class="section-title" id="d14710350e153">Background</h5> <p id="P2">Depression is a risk factor for mortality in cardiovascular diseases. Prior studies confirm that depression predicts adverse outcomes in patients with heart failure (HF). However, data were inconclusive regarding the effect of depression on mortality. This meta-analysis examines the relationship between depression and mortality in HF. </p> </div><div class="section"> <a class="named-anchor" id="S2"> <!-- named anchor --> </a> <h5 class="section-title" id="d14710350e158">Methods</h5> <p id="P3">Prospective studies of depression and mortality in HF published between 1999 and April 2016 were located using PubMed, PsychINFO, and <i>MEDLINE</i>. Comprehensive Meta-Analysis software was used to compute an aggregated effect size estimates of hazard ratios and to conduct subgroup analyses. </p> </div><div class="section"> <a class="named-anchor" id="S3"> <!-- named anchor --> </a> <h5 class="section-title" id="d14710350e166">Results</h5> <p id="P4">Eighteen studies met inclusion criteria. For 8 aggregated univariate and 14 multivariate estimates, depressive symptoms were related to all-cause mortality. A pooled HR of 3 multivariate analyses indicated that depressive symptoms were not linked to cardiovascular mortality. In subgroup analyses, depression predicted all-cause mortality in samples with a mean age &gt; 65. The impact of depression on all-cause mortality also differed by follow-up duration, with samples with shorter follow-up durations demonstrating a larger effect. </p> </div><div class="section"> <a class="named-anchor" id="S4"> <!-- named anchor --> </a> <h5 class="section-title" id="d14710350e171">Conclusions</h5> <p id="P5">In HF, depression is related to increased all-cause mortality risk, with stronger effects in samples with shorter follow-up and in older adults. In older adults, depression may serve as a marker of more severe HF. However, this possibility is difficult to examine given inconsistent adjustment for HF severity. Additional studies may assist in determining the relationship between depression and cardiovascular mortality, as the low number of studies examining cardiovascular mortality may have precluded detection of an effect. </p> </div>

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          Most cited references26

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          Depression in heart failure a meta-analytic review of prevalence, intervention effects, and associations with clinical outcomes.

          This article describes a meta-analysis of published associations between depression and heart failure (HF) in regard to 3 questions: 1) What is the prevalence of depression among patients with HF? 2) What is the magnitude of the relationship between depression and clinical outcomes in the HF population? 3) What is the evidence for treatment effectiveness in reducing depression in HF patients? Key word searches of the Medline and PsycInfo databases, as well as reference searches in published HF and depression articles, identified 36 publications meeting our criteria. Clinically significant depression was present in 21.5% of HF patients, and varied by the use of questionnaires versus diagnostic interview (33.6% and 19.3%, respectively) and New York Heart Association-defined HF severity (11% in class I vs. 42% in class IV), among other factors. Combined results suggested higher rates of death and secondary events (risk ratio = 2.1, 95% confidence interval 1.7 to 2.6), trends toward increased health care use, and higher rates of hospitalization and emergency room visits among depressed patients. Treatment studies generally relied on small samples, but also suggested depression symptom reductions from a variety of interventions. In sum, clinically significant depression is present in at least 1 in 5 patients with HF; however, depression rates can be much higher among patients screened with questionnaires or with more advanced HF. The relationship between depression and poorer HF outcomes is consistent and strong across multiple end points. These findings reinforce the importance of psychosocial research in HF populations and identify a number of areas for future study.
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            Trends in heart failure incidence and survival in a community-based population.

            The epidemic of heart failure has yet to be fully investigated, and data on incidence, survival, and sex-specific temporal trends in community-based populations are limited. To test the hypothesis that the incidence of heart failure has declined and survival after heart failure diagnosis has improved over time but that secular trends have diverged by sex. Population-based cohort study using the resources of the Rochester Epidemiology Project conducted in Olmsted County, Minnesota. Patients were 4537 Olmsted County residents (57% women; mean [SD] age, 74 [14] years) with a diagnosis of heart failure between 1979 and 2000. Framingham criteria and clinical criteria were used to validate the diagnosis Incidence of heart failure and survival after heart failure diagnosis. The incidence of heart failure was higher among men (378/100 000 persons; 95% confidence interval [CI], 361-395 for men; 289/100 000 persons; 95% CI, 277-300 for women) and did not change over time among men or women. After a mean follow-up of 4.2 years (range, 0-23.8 years), 3347 deaths occurred, including 1930 among women and 1417 among men. Survival after heart failure diagnosis was worse among men than women (relative risk, 1.33; 95% CI, 1.24-1.43) but overall improved over time (5-year age-adjusted survival, 43% in 1979-1984 vs 52% in 1996-2000, P<.001). However, men and younger persons experienced larger survival gains, contrasting with less or no improvement for women and elderly persons. In this community-based cohort, the incidence of heart failure has not declined during 2 decades, but survival after onset of heart failure has increased overall, with less improvement among women and elderly persons.
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              Prognostic association of depression following myocardial infarction with mortality and cardiovascular events: a meta-analysis of 25 years of research.

              A meta-analysis of over 25 years of research into the relationship between post-myocardial infarction (MI) depression and cardiac prognosis was conducted to investigate changes in this association over time and to investigate subgroup effects. A systematic literature search was performed (Medline, Embase and PsycINFO; 1975–2011) without language restrictions. Studies investigating the impact of post-MI depression on cardiovascular outcome, defined as all-cause mortality, cardiac mortality and cardiac events within 24 months after the index MI, were identified. Depression had to be assessed within 3 months after MI using established instruments. Pooled odds ratios (ORs) were calculated using a random effects model. A total of 29 studies were identified, resulting in 41 comparisons. Follow-up (on average 16 months) was described for 16,889 MI patients. Post-MI depression was associated with an increased risk of all-cause mortality [(OR), 2.25; 95% confidence interval [CI], 1.73-2.93; P<.001], cardiac mortality (OR, 2.71; 95% CI, 1.68–4.36; P<.001) and cardiac events (OR, 1.59; 95% CI, 1.37-1.85; P<.001). ORs proved robust in subgroup analyses but declined over the years for cardiac events. Post-MI depression is associated with a 1.6- to 2.7-fold increased risk of impaired outcomes within 24 months. This association has been relatively stable over the past 25 years. Copyright © 2011 Elsevier Inc. All rights reserved.
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                Author and article information

                Journal
                Journal of Psychosomatic Research
                Journal of Psychosomatic Research
                Elsevier BV
                00223999
                March 2017
                March 2017
                : 94
                :
                : 82-89
                Article
                10.1016/j.jpsychores.2017.01.010
                5370194
                28183407
                021f4363-9f14-45fb-a88f-82c1ccb7cb62
                © 2017
                History

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