Longitudinal Relationships Between Heart Failure Self-care and All-Cause Hospital Readmissions.

BACKGROUND: Many patients with heart failure (HF) are repeatedly hospitalized. Heart failure self-care may reduce readmission rates. Hospitalizations may also affect self-care. OBJECTIVE: The purpose of this secondary analysis was to test the hypotheses that better HF self-care is associated with a lower rate of all-cause readmissions and that readmissions motivate patients to improve their self-care. METHODS: This was a prospective cohort study of patients with HF (N = 400) who were enrolled during a stay at an urban teaching hospital between 2014 and 2016. The Self-Care of Heart Failure Index v6.2 was administered during the hospital stay, along with other questionnaires, and repeated at 6-month intervals after discharge. All-cause readmissions and deaths were ascertained for 24 months. RESULTS: A total of 333 (83.3%) were readmitted at least once, and 117 (29.3%) of the patients died during the follow-up period. A total of 1581 readmissions were ascertained. Higher Self-Care of Heart Failure Index Maintenance scores predicted more rather than fewer readmissions (adjusted hazard ratio, 1.09; 95% confidence interval, 1.01-1.17; P < .01). Conversely, more readmissions predicted higher Maintenance scores (b = 0.29; 95% confidence interval, 0.02-0.56; P < .05). CONCLUSIONS: These findings do not support the hypothesis that HF self-care maintenance or management helps to reduce the rate of all-cause readmissions, but they do suggest that the experience of multiple readmissions may help to motivate improvements in HF self-care.

New Perspectives on Treatment of Depression in Coronary Heart Disease.

ABSTRACT: It has been 35 years since we published a study in Psychosomatic Medicine showing that patients with coronary heart disease (CHD) and major depression were at twice the risk of having a cardiac event as were nondepressed patients (Carney et al. Psychosom Med. 1988;50:627-33). This small study was followed a few years later by a larger, more convincing report from Frasure-Smith et al. (JAMA. 1993;270:1819-25) showing that depression increased the rate of mortality in patients with a recent acute myocardial infarction. Since the 1990s, there have been many more studies of depression as a risk factor for cardiac events and cardiac-related mortality from all over the world, and many clinical trials designed to determine whether treating depression improves medical outcomes in these patients. Unfortunately, the effects of depression treatment in patients with CHD remain unclear. This article considers why it has been difficult to determine whether treatment of depression improves survival in these patients. It also proposes several lines of research to address this question, with the goal of definitively establishing whether treating depression can extend cardiac event-free survival and enhance quality of life in patients with CHD.

A multi- and mixed-method adaptation study of a patient-centered perioperative mental health intervention bundle.

BACKGROUND: Anxiety and depression are common among older adults and can intensify during perioperative periods, but few mental health interventions are designed for older surgical patients' unique needs. As part of the feasibility trial, we developed and adapted a perioperative mental health (PMH) bundle for older patients comprised of behavioral activation (BA) and medication optimization (MO) to ameliorate anxiety and depressive symptoms before, during, and after cardiac, orthopedic, and oncologic surgery. METHODS: We used mixed-methods including workshop studios with patients, caregivers, clinicians, researchers, and interventionists; intervention refinement and reflection meetings; patient case review meetings; intervention session audio-recordings and documentation forms; and patient and caregiver semi-structured interviews. We used the results to refine our PMH bundle. We used multiple analytical approaches to report the nature of adaptations, including hybrid thematic analysis and content analysis informed by the Framework for Reporting Adaptations and Modifications - Expanded. RESULTS: Adaptations were categorized by content (intervention components), context (how the intervention is delivered, based on the study, target population, intervention format, intervention delivery mode, study setting, study personnel), training, and evaluation. Of 51 adaptations, 43.1% involved content, 41.2% involved context, and 15.7% involved training and evaluation. Several key adaptations were noted: (1) Intervention content was tailored to patient preferences and needs (e.g., rewording elements to prevent stigmatization of mental health needs; adjusting BA techniques and documentation forms to improve patient buy-in and motivation). (2) Cohort-specific adaptations were recommended based on differing patient needs. (3) Compassion was identified by patients as the most important element. CONCLUSIONS: We identified evidence-based mental health intervention components from other settings and adapted them to the perioperative setting for older adults. Informed by mixed-methods, we created an innovative and pragmatic patient-centered intervention bundle that is acceptable, feasible, and responsive to the needs of older surgical populations. This approach allowed us to identify implementation strategies to improve the reach, scalability, and sustainability of our bundle, and can guide future patient-centered intervention adaptations. CLINICAL TRIALS REGISTRATION: NCT05110690 (11/08/2021).

Development and testing of an instrument to measure contextual factors influencing self-care decisions among adults with chronic illness.

BACKGROUND: Decisions about how to manage bothersome symptoms of chronic illness are complex and influenced by factors related to the patient, their illness, and their environment. Naturalistic decision-making describes decision-making when conditions are dynamically evolving, and the decision maker may be uncertain because the situation is ambiguous and missing information. Contextual factors, including time stress, the perception of high stakes, and input from others may facilitate or complicate decisions about the self-care of symptoms. There is no valid instrument to measure these contextual factors. The purpose of this study was to develop and test a self-report instrument measuring the contextual factors that influence self-care decisions about symptoms. METHODS: Items were drafted from the literature and refined with patient input. Content validity of the instrument was evaluated using a Delphi survey of expert clinicians and researchers, and cognitive interviews with adults with chronic illness. Psychometric testing included exploratory factor analysis to test dimensionality, item response theory-based approaches for item recalibration, confirmatory factor analysis to generate factor determinacy scores, and evaluation of construct validity. RESULTS: Ten contextual factors influencing decision-making were identified and multiple items per factor were generated. Items were refined based on cognitive interviews with five adults with chronic illness. After a two round Delphi survey of expert clinicians (n = 12) all items had a content validity index of > 0.78. Five additional adults with chronic illness endorsed the relevance, comprehensiveness, and comprehensibility of the inventory during cognitive interviews. Initial psychometric testing (n = 431) revealed a 6-factor multidimensional structure that was further refined for precision, and high multidimensional reliability (0.864). In construct validity testing, there were modest associations with some scales of the Melbourne Decision Making Questionnaire and the Self-Care of Chronic Illness Inventory. CONCLUSION: The Self-Care Decisions Inventory is a 27-item self-report instrument that measures the extent to which contextual factors influence decisions about symptoms of chronic illness. The six scales (external, urgency, uncertainty, cognitive/affective, waiting/cue competition, and concealment) reflect naturalistic decision making, have excellent content validity, and demonstrate high multidimensional reliability. Additional testing of the instrument is needed to evaluate clinical utility.

Effects of Depression on Heart Failure Self-Care.

BACKGROUND: Depression has been identified as a barrier to effective heart failure self-care, but recent studies suggest that the relationship between depression and self-care is more complex than was previously believed. This study was designed to clarify the relationship between depression and self-care in hospitalized patients with HF. METHODS AND RESULTS: During hospitalization with a confirmed clinical diagnosis of HF, 400 patients completed a structured interview to diagnose Diagnostic and Statistical Manual, 5th edition (DSM-5) depressive disorders, the Patient Health Questionnaire (PHQ-9) depression questionnaire, the Self-Care of Heart Failure Index (SCHFI), and several psychosocial questionnaires. Multivariable models were fitted to each SCHFI scale; separate models were run with DSM-5 disorders and PHQ-9 depression scores. Higher PHQ-9 depression scores were independently associated with lower (worse) scores on the SCHFI Maintenance (P < .05), Management (P < .01), and Confidence (P < .01) scales. No independent associations with DSM-5 depressive disorders were detected. Measures of perceived stress, anxiety, and low perceived social support were also significantly associated with poor HF self-care. CONCLUSIONS: Patients with a combination of psychosocial problems, including symptoms of depression, stress, anxiety, and inadequate social support, may be more likely than other patients to display difficulties with HF self-care that can increase their risk for hospitalization. Research is needed on "broad-spectrum" psychosocial interventions for patients with HF self-care deficits.

Left Ventricular Dysfunction and Depression in Hospitalized Patients with Heart Failure.

OBJECTIVE: This study examined whether the severity of left ventricular systolic dysfunction is associated with depression in patients with heart failure (HF). Other factors were also studied to identify independent correlates of depression in HF. METHODS: The sample consisted of 400 hospitalized patients with HF. Left ventricular ejection fraction and other medical data were obtained from medical records. Depression and other psychosocial characteristics were assessed by an interview and questionnaires. Proportional odds models were used to test the relationships of these characteristics to Diagnostic and Statistical Manual of Mental Disorders (Fifth Edition) depressive disorders, and analysis of covariance was used to test relationships with continuous measures of depression in secondary models. RESULTS: The models produced no evidence of an association between left ventricular ejection fraction and depression. The adjusted odds ratio (95% confidence interval) was 1.00 (0.98-1.01; p = .87) for depression diagnosis. Analysis of covariance estimates (standard errors) were -0.01 (0.02; p = .54) for the Hamilton Rating Scale for Depression and -0.01 (0.01; p = .59) for the Patient Health Questionnaire. The odds of depression were higher in African American patients and in those with high levels of anxiety or stress. Other characteristics that have been associated with depression in previous studies, including sex and age, were not consistently associated with depression in this study. CONCLUSIONS: There is no relationship between the severity of left ventricular systolic dysfunction and depression in hospitalized patients with HF. In contrast, African American patients and those with a high level of anxiety or perceived stress are more likely than other patients to have a comorbid depressive disorder.

Hybrid Systematic Review and Network Meta-Analysis of Randomized Controlled Trials of Interventions for Depressive Symptoms in Patients With Coronary Artery Disease.

OBJECTIVE: Depression is common in patients with coronary artery disease (CAD) and is associated with poor outcomes. Although different treatments are available, it is unclear which are best or most acceptable to patients, so we conducted a network meta-analysis of evidence from randomized controlled trials (RCTs) of different depression treatments to ascertain relative efficacy. METHODS: We searched for systematic reviews of RCTs of depression treatments in CAD and updated these with a comprehensive search for recent individual RCTs. RCTs comparing depression treatments (pharmacological, psychotherapeutic, combined pharmacological/psychotherapeutic, exercise, collaborative care) were included. Primary outcomes were acceptability (dropout rate) and change in depressive symptoms 8 week after treatment commencement. Change in 26-week depression and mortality were secondary outcomes. Frequentist, random-effects network meta-analysis was used to synthesize the evidence, and evidence quality was evaluated following Grading of Recommendations, Assessment, Development and Evaluations recommendations. RESULTS: Thirty-three RCTs (7240 participants) provided analyzable data. All treatments were equally acceptable. At 8 weeks, combination therapy (1 study), exercise (1 study), and antidepressants (10 studies) yielded the strongest effects versus comparators. At 26 weeks, antidepressants were consistently effective, but psychotherapy was only effective versus usual care. There were no differences in treatment groups for mortality. Grading of Recommendations, Assessment, Development and Evaluations ratings ranged from very low to low. CONCLUSIONS: Overall, the evidence was limited and biased. Although all treatments for post-CAD depression were equally acceptable, antidepressants have the most robust evidence base and should be the first-line treatment. Combinations of antidepressants and psychotherapy, along with exercise, could be more effective than antidepressants alone but require further rigorous, multiarm intervention trials.Systematic Review Registration: CRD42018108293 (International Prospective Register of Systematic Reviews).

Precision clinical trials: a framework for getting to precision medicine for neurobehavioural disorders.

The goal of precision medicine (individually tailored treatments) is not being achieved for neurobehavioural conditions such as psychiatric disorders. Traditional randomized clinical trial methods are insufficient for advancing precision medicine because of the dynamic complexity of these conditions. We present a pragmatic solution: the precision clinical trial framework, encompassing methods for individually tailored treatments. This framework includes the following: (1) treatment-targeted enrichment, which involves measuring patients' response after a brief bout of an intervention, and then randomizing patients to a full course of treatment, using the acute response to predict long-term outcomes; (2) adaptive treatments, which involve adjusting treatment parameters during the trial to individually optimize the treatment; and (3) precise measurement, which involves measuring predictor and outcome variables with high accuracy and reliability using techniques such as ecological momentary assessment. This review summarizes precision clinical trials and provides a research agenda, including new biomarkers such as precision neuroimaging, transcranial magnetic stimulation-electroencephalogram digital phenotyping and advances in statistical and machine-learning models. Validation of these approaches - and then widespread incorporation of the precision clinical trial framework - could help achieve the vision of precision medicine for neurobehavioural conditions.

Improving Quality of Life in Heart Failure.

PURPOSE OF REVIEW: Heart failure has substantial effects on health-related quality of life. Maintaining or improving quality of life is an important goal of heart failure therapy, and many patients value better quality of life over greater longevity. RECENT FINDINGS: The symptoms and functional severity of heart failure, medical comorbidities, and depression are the strongest predictors of poor quality of life. Guideline-recommended medical and behavioral interventions for HF, including exercise training and cardiac rehabilitation, self-care interventions, and treatment of depression, can help to improve quality of life. Heart failure is, in most cases, a progressive condition with a poor prognosis. However, poor quality of life is not inevitable, and a variety of medical, surgical, and nonpharmacological interventions can help to maintain or improve quality of life in patients with heart failure.

A Trial of Sertraline or Cognitive Behavior Therapy for Depression in Epilepsy.

OBJECTIVE: Limited evidence is available to guide treatment of depression for persons with epilepsy. We evaluated the comparative effectiveness of sertraline and cognitive behavior therapy (CBT) for depression, quality of life, seizures, and adverse treatment effects. METHODS: We randomly assigned 140 adult outpatients with epilepsy and current major depressive disorder to sertraline or weekly CBT for 16 weeks. The primary outcome was remission from depression based on the Mini International Neuropsychiatric Interview (MINI). Secondary outcomes included the Quality of Life in Epilepsy Inventory-89 (QOLIE-89) seizure rates, the Adverse Events Profile (AEP), the Beck Depression Inventory, and MINI Suicide Risk Module. RESULTS: In the intention-to-treat analysis, 38 (52.8%; 95% confidence interval [CI] = ±12) of the 72 subjects assigned to sertraline and 41 (60.3%; 95% CI = ±11.6) of the 68 subjects in the CBT group achieved remission; the lower bound of efficacy for both groups was greater than our historical placebo control group upper bound of 33.7%. Difference in time to remission between groups was 2.8 days (95% CI = ±0.43; p = 0.79). The percent improvement of mean QOLIE-89 scores was significant for both the CBT (25.7%; p < 0.001) and sertraline (28.3%; p < 0.001) groups. The difference in occurrence of generalized tonic-clonic seizures between groups was 0.3% (95% CI = ±8.6; p = 0.95). Suicide risk at final assessment was associated with persistent depression (p < 0.0001) but not seizures or sertraline. INTERPRETATION: Depression remitted in just over one-half of subjects following sertraline or CBT. Despite the complex psychosocial disability associated with epilepsy, improving depression benefits quality of life. Serotonin reuptake inhibition does not appear to increase seizures or suicidality in persons with epilepsy. ANN NEUROL 2019;86:552-560.

Moderators of Response to Cognitive Behavior Therapy for Major Depression in Patients With Heart Failure.

OBJECTIVE: Although cognitive behavior therapy (CBT) is efficacious for major depression in patients with heart failure (HF), approximately half of patients do not remit after CBT. To identify treatment moderators that may help guide treatment allocation strategies and serve as new treatment targets, we performed a secondary analysis of a randomized clinical trial. Based on evidence of their prognostic relevance, we evaluated whether clinical and activity characteristics moderate the effects of CBT. METHODS: Participants were randomized to enhanced usual care (UC) alone or CBT plus enhanced UC. The single-blinded outcomes were 6-month changes in Beck Depression Inventory total scores and remission (defined as a Beck Depression Inventory ≤ 9). Actigraphy was used to assess daily physical activity patterns. We performed analyses to identify the specific activity and clinical moderators of the effects of CBT in 94 adults (mean age = 58, 49% female) with HF and major depressive disorder. RESULTS: Patients benefited more from CBT (versus UC) if they had the following: more medically severe HF (i.e., a higher New York Heart Association class or a lower left ventricular ejection fraction), more stable activity patterns, wider active periods, and later evening settling times. These individual moderator effects were small (|r| = 0.10-0.21), but combining the moderators yielded a medium moderator effect size (r = 0.38; 95% CI = 0.20-0.52). CONCLUSIONS: These findings suggest that increasing the cross-daily stability of activity patterns, and prolonging the daily active period, might help increase the efficacy of CBT. Given moderating effects of HF severity measures, research is also needed to clarify and address factors in patients with less severe HF that diminish the efficacy of CBT. CLINICAL TRIAL REGISTRATION: clinicaltrials.gov identifier: NCT01028625.

The evolution of professional societies in behavioral medicine.

The Academy of Behavioral Medicine Research, the American Psychosomatic Society, the Society for Health Psychology, and the Society of Behavioral Medicine are the four largest behavioral medicine research organizations in North America. All four of these organizations have evolved over the past 40 years, in response to changing times and conditions. They have done so independently, and each one occupies a unique niche in the field of behavioral medicine. However, all four recognize the need for cooperation to address challenges of mutual concern and to capitalize on opportunities for behavioral medicine research to have a greater impact on preventive services and health care. The recent formation of the Behavioral Medicine Research Council (BMRC) is a prime example. As an autonomous joint committee of all four organizations, the BMRC will promote large, definitive, randomized controlled trials to address some of the highest-priority problems in behavioral medicine. This cooperative venture will help the entire field, along with the major behavioral medicine research organizations, continue to evolve in productive ways over the next 40 years.

Residual Symptoms After Treatment for Depression in Patients With Coronary Heart Disease.

OBJECTIVE: Depression is associated with an increased risk of mortality in patients with coronary heart disease (CHD). The risk may be reduced in patients who remit with adequate treatment, but few patients achieve complete remission. The purpose of this study was to identify the symptoms that persist despite aggressive treatment for depression in patients with CHD. METHODS: One hundred twenty-five patients with stable CHD who met the DSM-IV criteria for a moderate-to-severe major depressive episode completed treatment with cognitive behavior therapy, either alone or combined with an antidepressant, for up to 16 weeks. Depression symptoms were assessed at baseline and after 16 weeks of treatment. RESULTS: The M (SD) Beck Depression Inventory scores were 30.0 (8.6) at baseline and 8.3 (7.5) at 16 weeks. Seventy seven (61%) of the participants who completed treatment met remission criteria (Hamilton Rating Scale for Depression ≤7) at 16 weeks. Loss of energy and fatigue were the most common posttreatment symptoms both in remitters (n = 44, 57%; n = 34, 44.2%) and nonremitters (n = 42, 87.5%; n = 35, 72.9%). These symptoms were not predicted by baseline depression severity, anxiety, demographic, or medical variables including inflammatory markers or cardiac functioning or by medical events during depression treatment. CONCLUSIONS: Fatigue and loss of energy often persist in patients with CHD even after otherwise successful treatment for major depression. These residual symptoms may increase the risks of relapse and mortality. Development of effective interventions for these persistent symptoms is a priority for future research.

Cardiac Risk Markers and Response to Depression Treatment in Patients With Coronary Heart Disease.

BACKGROUND: Depression is associated with an increased risk of mortality in patients with coronary heart disease. There is evidence that this risk may be reduced in patients who respond to depression treatment. The purpose of this study was to determine whether cardiac risk markers predict poor response to depression treatment and, second, whether they improve with successful treatment. METHODS: One hundred fifty-seven patients with stable coronary heart disease who met the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, criteria for a moderate to severe major depressive episode were treated with cognitive behavior therapy, either alone or combined with an antidepressant, for up to 16 weeks. Depression, physical activity, sleep quality, thyroid hormones (total thyroxine [T4] and free T4), and inflammatory blood markers (C-reactive protein, interleukin-6, tumor necrosis factor) were assessed at baseline and after 16 weeks of treatment. RESULTS: The mean (SD) Beck Depression Inventory scores were 30.2 (8.5) at baseline and 8.5 (7.8) at 16 weeks. More than 50% of the participants met the criteria for depression remission (17-item Hamilton Rating Scale for Depression ≤ 7) at 16 weeks. Only free T4 thyroid hormone at baseline predicted poor response to depression treatment after adjustment for potential confounders (p = .004). Improvement in sleep quality (p = .012) and physical activity level (p = .041) correlated with improvement in depression. None of the inflammatory markers predicted posttreatment depression or changed with depression. CONCLUSIONS: Thyroid hormone (T4) level predicted depression treatment outcome, and improvement in depression correlated with improvement in sleep and physical activity. More detailed studies of thyroid function and objective assessments of sleep and physical activity in relation to depression improvement and cardiac outcomes are needed.

Major Depression and Long-Term Survival of Patients With Heart Failure.

OBJECTIVES: Previous studies have found that depression predicts all-cause mortality in heart failure (HF), but little is known about its effect on long-term survival. This study examined the effects of depression on long-term survival in patients with HF. METHODS: Patients hospitalized with HF (n = 662) at an urban academic medical center were enrolled in a prospective cohort study between January 1994 and July 1999. Depression was assessed on a structured interview during the index hospitalization and on quarterly interviews for 1 year after discharge. Patients were classified at index as having Diagnostic and Statistical Manual, Fourth Edition major depressive disorder (n = 131), minor depression (n = 106), or no depression (n = 425). Clinical data and the National Death Index were used to identify date of death or last known contact through December 19, 2014, up to 20 years after the index hospitalization. The main outcome was time from enrollment to death from any cause. RESULTS: A total of 617 (94.1%) patients died during the follow-up period. Major depressive disorder was associated with higher all-cause mortality compared with no depression (adjusted hazard ratio = 1.64, 95% confidence interval = 1.27-2.11, p = .0001). This association was stronger than that of any of the established predictors of mortality that were included in the fully adjusted model. Patients with persistent or worsening depressive symptoms during the year after discharge were at greatest risk for death. The association between minor depression and survival was not significant. CONCLUSIONS: Major depression is an independent risk factor for all-cause mortality in patients with HF. Its effect persists for many years after the diagnosis of depression.

Depression as a risk factor for poor prognosis among patients with acute coronary syndrome: systematic review and recommendations: a scientific statement from the American Heart Association.

BACKGROUND: Although prospective studies, systematic reviews, and meta-analyses have documented an association between depression and increased morbidity and mortality in a variety of cardiac populations, depression has not yet achieved formal recognition as a risk factor for poor prognosis in patients with acute coronary syndrome by the American Heart Association and other health organizations. The purpose of this scientific statement is to review available evidence and recommend whether depression should be elevated to the status of a risk factor for patients with acute coronary syndrome. METHODS AND RESULTS: Writing group members were approved by the American Heart Association's Scientific Statement and Manuscript Oversight Committees. A systematic literature review on depression and adverse medical outcomes after acute coronary syndrome was conducted that included all-cause mortality, cardiac mortality, and composite outcomes for mortality and nonfatal events. The review assessed the strength, consistency, independence, and generalizability of the published studies. A total of 53 individual studies (32 reported on associations with all-cause mortality, 12 on cardiac mortality, and 22 on composite outcomes) and 4 meta-analyses met inclusion criteria. There was heterogeneity across studies in terms of the demographic composition of study samples, definition and measurement of depression, length of follow-up, and covariates included in the multivariable models. Despite limitations in some individual studies, our review identified generally consistent associations between depression and adverse outcomes. CONCLUSIONS: Despite the heterogeneity of published studies included in this review, the preponderance of evidence supports the recommendation that the American Heart Association should elevate depression to the status of a risk factor for adverse medical outcomes in patients with acute coronary syndrome.

Systematic Review and Individual Patient Data Meta-Analysis of Sex Differences in Depression and Prognosis in Persons With Myocardial Infarction: A MINDMAPS Study.

OBJECTIVE: Using combined individual patient data from prospective studies, we explored sex differences in depression and prognosis post-myocardial infarction (MI) and determined whether disease indices could account for found differences. METHODS: Individual patient data analysis of 10,175 MI patients who completed diagnostic interviews or depression questionnaires from 16 prospective studies from the MINDMAPS study was conducted. Multilevel logistic and Cox regression models were used to determine sex differences in prevalence of depression and sex-specific effects of depression on subsequent outcomes. RESULTS: Combined interview and questionnaire data from observational studies showed that 36% (635/1760) of women and 29% (1575/5526) of men reported elevated levels of depression (age-adjusted odds ratio = 0.68, 95% confidence interval [CI] = 0.60-0.77). The risk for all-cause mortality associated with depression was higher in men (hazard ratio = 1.38, 95% CI = 1.30-1.47) than in women (hazard ratio = 1.22, 95% CI = 1.14-1.31; sex by depression interaction: p < .001). Low left ventricular ejection fraction (LVEF) was associated with higher depression scores in men only (sex by LVEF interaction: B = 0.294, 95% CI = 0.090-0.498), which attenuated the sex difference in the association between depression and prognosis. CONCLUSIONS: The prevalence of depression post-MI was higher in women than in men, but the association between depression and cardiac prognosis was worse for men. LVEF was associated with depression in men only and accounted for the increased risk of all-cause mortality in depressed men versus women, suggesting that depression in men post-MI may, in part, reflect cardiovascular disease severity.

Sex dependent risk factors for mortality after myocardial infarction: individual patient data meta-analysis.

BACKGROUND: Although a number of risk factors are known to predict mortality within the first years after myocardial infarction, little is known about interactions between risk factors, whereas these could contribute to accurate differentiation of patients with higher and lower risk for mortality. This study explored the effect of interactions of risk factors on all-cause mortality in patients with myocardial infarction based on individual patient data meta-analysis. METHODS: Prospective data for 10,512 patients hospitalized for myocardial infarction were derived from 16 observational studies (MINDMAPS). Baseline measures included a broad set of risk factors for mortality such as age, sex, heart failure, diabetes, depression, and smoking. All two-way and three-way interactions of these risk factors were included in Lasso regression analyses to predict time-to-event related all-cause mortality. The effect of selected interactions was investigated with multilevel Cox regression models. RESULTS: Lasso regression selected five two-way interactions, of which four included sex. The addition of these interactions to multilevel Cox models suggested differential risk patterns for males and females. Younger women (age<50) had a higher risk for all-cause mortality than men in the same age group (HR 0.7 vs. 0.4), while men had a higher risk than women if they had depression (HR 1.4 vs. 1.1) or a low left ventricular ejection fraction (HR 1.7 vs. 1.3). Predictive accuracy of the Cox model was better for men than for women (area under the curves: 0.770 vs. 0.754). CONCLUSIONS: Interactions of well-known risk factors for all-cause mortality after myocardial infarction suggested important sex differences. This study gives rise to a further exploration of prediction models to improve risk assessment for men and women after myocardial infarction.

Nocturnal patterns of heart rate and the risk of mortality after acute myocardial infarction.

BACKGROUND: The purposes of this study were to identify nocturnal patterns of heart rate (HR) in depressed and nondepressed patients after an acute myocardial infarction (MI) and to determine which patterns, if any, are associated with all-cause mortality or recurrent infarction. METHODS: Functional data analysis and model-based clustering methods were used to identify nocturnal HR patterns in 245 depressed and 247 nondepressed patients with a recent MI. All-cause mortality and recurrent infarctions were ascertained over a median follow-up of 24 months. RESULTS: Three HR activity patterns were identified. In the first, HR gradually declined during the nighttime and increased the next morning. The second pattern was similar, but with a higher overall HR during the recording interval. The third showed almost no decrease in HR at night (ie, "nondipping"). All-cause mortality was higher among patients with pattern 3 than pattern 1 (P = .007), and the combined end point of recurrent MI or all-cause mortality was higher in pattern 3 than pattern 2 (P = .05). Patterns 2 and 3 were more common in the depressed than in the nondepressed patients. CONCLUSIONS: The nondipping nocturnal HR independently predicts all-cause mortality and recurrent MI. Future studies should examine the underlying causes of nondipping nocturnal HR and its association with depression and investigate the effects of treatment on survival.