Antilipidemic adherence post-coronary artery disease diagnosis among those with and without an ICD-9 diagnosis of depression

Screening for Emotional Distress in Patients with Cardiovascular Disease

PURPOSE OF REVIEW

In this article, we discuss the relationship between emotional distress and common cardiovascular disease condition, including coronary artery disease, atrial fibrillation, congestive heart failure, mechanical circulatory support, and heart transplant. We review screening measures that have been studied and used in clinical practice for each condition, as well as priorities for future research.

RECENT FINDINGS

Studies consistently demonstrate failing to identify and treat emotional distress in patients with cardiovascular disease is associated with adverse outcomes. However, routine emotional distress screening is not formally recommended for all cardiovascular disease conditions and is limited to depression screening in select patient populations. Future research should focus on evaluating the validity and reliability of standardized screening measures across the scope of emotional distress in patients with or at risk for cardiovascular disease. Other areas of future research include implementation of evidence-based pharmaceutical treatments and integrated behavioral health approaches and interventions.

Mental health conditions and adherence to direct oral anticoagulants in patients with incident atrial fibrillation: A nationwide cohort study

OBJECTIVE

Medication adherence is essential for effective stroke prevention in patients with atrial fibrillation (AF). We aimed to assess whether adherence to direct oral anticoagulants (DOACs) in AF patients is affected by the presence of mental health conditions (MHCs).

METHODS

The nationwide FinACAF cohort covered 74,222 AF patients from all levels of care receiving DOACs during 2011-2018 in Finland. Medication possession ratio (MPR) was used to quantify adherence. Patients with MPR ≥0.90 were defined adherent. MHCs of interest were depression, bipolar disorder, anxiety disorder and schizophrenia.

RESULTS

The patients' (mean age 75.4 ± 9.5 years, 50.8% female) mean MPR was 0.84 (SD 0.22), and 59.5% had MPR ≥0.90. Compared to patients without MHC, the adjusted ORs (95% CI) for adherent DOAC use emerged slightly lower in patients with depression (0.92 (0.84-0.99)) and bipolar disorder (0.77 (0.61-0.97)) and unsignificant in patients with anxiety disorder (1.08 (0.96-1.21)) and schizophrenia (1.13 (0.90-1.43)). However, when only persistent DOAC therapy was analyzed, no MHC was associated with poor adherence, and instead anxiety disorder was associated with adherent DOAC use (1.18 (1.04-1.34)).

CONCLUSION

Adherence to DOACs in AF patients in Finland was relatively high, and no meaningful differences between patients with and without MHCs were observed.

Prevalence and predictors of medication non-adherence among people living with multimorbidity: a systematic review and meta-analysis

OBJECTIVES

This systematic review aimed to describe medication non-adherence among people living with multimorbidity according to the current literature, and synthesise predictors of non-adherence in this population.

METHODS

A systematic review was conducted according to the Preferred Reporting Items for Systematic reviews and Meta-Analyses. PubMed, EMBASE, CINAHL and PsycINFO were searched for relevant articles published in English language between January 2009 and April 2019. Quantitative studies reporting medication non-adherence and/or predictors of non-adherence among people with two or more chronic conditions were included in the review. A meta-analysis was conducted with a subgroup of studies that used an inclusive definition of multimorbidity to recruit participants, rather than seeking people with specific conditions. Remaining studies reporting prevalence and predictors of non-adherence were narratively synthesised.

RESULTS

The database search produced 10 998 records and a further 75 were identified through other sources. Following full-text screening, 178 studies were included in the review. The range of reported non-adherence differed by measurement method, at 76.5% for self-report, 69.4% for pharmacy data, and 44.1% for electronic monitoring. A meta-analysis was conducted with eight studies (n=8949) that used an inclusive definition of multimorbidity to recruit participants. The pooled prevalence of non-adherence was 42.6% (95% CI: 34.0 - 51.3%, k=8, I²=97%, p<0.01). The overall range of non-adherence was 7.0%-83.5%. Frequently reported correlates of non-adherence included previous non-adherence and treatment-related beliefs.

CONCLUSIONS

The review identified a heterogeneous literature in terms of conditions studied, and definitions and measures of non-adherence used. Results suggest that future attempts to improve adherence among people with multimorbidity should determine for which conditions individuals require most support. The variable levels of medication non-adherence highlight the need for more attention to be paid by healthcare providers to the impact of multimorbidity on chronic disease self-management.

PROSPERO REGISTRATION NUMBER

CRD42019133849.

Role of psychosocial factors in long-term adherence to secondary prevention measures after myocardial infarction: a longitudinal analysis

PURPOSE

Psychosocial factors have been linked to myocardial infarction (MI) outcomes. Whether psychosocial factors affect post-MI long-term adherence to secondary prevention recommendations remains uncertain.

METHODS

Patients ≤65 years (n = 616) were assessed for optimism, perceived social support (PSS), sense of coherence (SOC), anxiety, and depression at initial hospitalization for acute MI (1992-1993). Adherence to secondary prevention measures was recorded in interviews 3-6 months, 1-2, 5, and 10-13 years after MI. Prevention score (proportion of recommendations met) was developed based on: (1) medication adherence; (2) exercise; (3) nonsmoking; (4) healthy diet; (5) maintaining recommended body weight. Associations between psychosocial factors and prevention scores were estimated using Generalized Estimating Equation models. The role of the prevention score in long-term survival was assessed using time-dependent Cox regression analysis.

RESULTS

Average follow-up prevention scores ranged from 0.70 to 0.80 (SD, ≈0.20). After multivariable adjustment, PSS (β = 0.087, P = .002, per 1 SD increase) and SOC (β = 0.082, P = .006, per 1 SD increase) were positively associated with secondary prevention adherence. The prevention score predicted survival over 23-year follow-up (adjusted hazard ratio = 0.79; 95% CI: 0.68-0.91, per 1 SD increase).

CONCLUSIONS

Psychosocial factors following MI, particularly PSS and SOC, were associated with long-term adherence to secondary prevention measures.

Depression Related Pathophysiologies Relevant in Heart Disease: Insights into the Mechanism Based on Pharmacological Treatments

Depressive symptoms are highly prevalent in patients with cardiac diseases. Co-morbid Depression in cardiac patients causes a significant reduction in health-related quality of life for the patients and inflicts an economic burden on the society. Two types of mechanisms that may explain the link between depression and cardiac diseases are the psychosocial and physiopathological mechanisms. Physiopathological mechanisms are direct biological mechanisms, which include hyperactivity of non-adrenergic and Hypothalamic Pituitary Adrenal Axis (HPA), abnormal platelet activation, endothelial dysfunction, and inflammatory process. Psychosocial factors include behavioral or lifestyle factors like smoking alcoholism and physical inactivity. Pharmacologic and therapeutic interventions are effective at reducing symptoms of depression in patients with cardiac disorders. Among pharmacological treatment, SSRIs seems to be effective for the reduction of depressive symptoms among patients with cardiac disorders because of their good efficacy and minimal cardiovascular side effects. Mechanisms of action of SSRI’s in depressive patients with cardiac disorders are associated with their ability to reduce inflammation, platelet, and endothelial dysfunction. This review focuses on the potential pathophysiological and psychosocial links between cardiac diseases and depression, the treatment options, and the importance of routine screening of depressive symptoms in cardiac settings.

Association Between Depression and Outcomes in Chinese Patients With Myocardial Infarction and Nonobstructive Coronary Arteries

Background Myocardial infarction with nonobstructive coronary arteries ( MINOCA ) occurs in ≈10% of all patients with myocardial infarction. Studies on effects of depression on MINOCA outcomes are lacking. Therefore, the aim of this study was to examine the association of depression with clinical outcomes in Chinese patients with MINOCA . Methods and Results We conducted a prospective cohort study of 633 participants with MINOCA and followed up for 3 years. End points were defined as all-cause mortality and cardiovascular events. Diagnosis of depression was ascertained using the psychiatric interview based on the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5). During the follow-up period, all-cause death occurred in 93 individuals and cardiovascular events developed in 170 individuals. Kaplan-Meier curves showed a significant association of depression with all-cause mortality (log-rank P<0.001) and cardiovascular events (log-rank P<0.001). Multiple Cox regression identified the new diagnosis of depression as an independent prognostic factor for all-cause mortality as well as cardiovascular events (adjusted hazard ratio, 7.250; 95% CI, 4.735-11.100; P<0.001; and hazard ratio, 3.411; 95% CI , 2.490-4.674; P<0.001, respectively). Conclusions The new diagnosis of depression at the time of myocardial infarction is associated with increased risk of adverse clinical outcomes in patients with MINOCA.

Are Cardiovascular Risk Factors Stronger Predictors of Incident Cardiovascular Disease in U.S. Adults With Versus Without a History of Clinical Depression?

Background

Several mechanisms underlying the depression-to-cardiovascular disease (CVD) relationship have been proposed; however, few studies have examined whether depression promotes CVD through potentiating traditional cardiovascular risk factors.

Purpose

To test the combined influence of three cardiovascular risk factors and lifetime depressive disorder on incident CVD in a large, diverse, and nationally representative sample of U.S. adults.

Methods

Respondents were 26,840 adults without baseline CVD who participated in Waves 1 (2001-2002) and 2 (2004-2005) of the National Epidemiologic Survey on Alcohol and Related Conditions. Lifetime depressive disorder, tobacco use, hypertension, and incident CVD were determined from structured interviews, and body mass index (BMI) was computed from self-reported height and weight.

Results

Logistic regression models predicting incident CVD (1,046 cases) revealed evidence of moderation, as the interactions between lifetime depressive disorder and current tobacco use (p = .002), hypertension (p < .001), and BMI (p = .031) were significant. The Former Tobacco Use × Lifetime Depressive Disorder interaction was not significant (p = .85). In models stratified by lifetime depressive disorder, current tobacco use (OR = 1.78, 95% CI = 1.36-2.32, p < .001 vs. OR = 1.41, 95% CI = 1.24-1.60, p < .001), hypertension (OR = 2.46, 95% CI = 1.98-3.07, p < .001 vs. OR = 1.39, 95% CI = 1.28-1.51, p < .001), and BMI (OR = 1.10, 95% CI = 1.01-1.20, p = .031 vs. OR = 1.03, 95% CI = 0.99-1.07, p = .16) were stronger predictors of incident CVD in adults with versus without a lifetime depressive disorder.

Conclusions

Our findings suggest that amplifying the atherogenic effects of traditional cardiovascular risk factors may be yet another candidate mechanism that helps to explain the excess CVD risk of people with depression.

Psychological distress and medication use for secondary prevention of cardiovascular events: Evidence from a large-scale population-based cohort study

OBJECTIVE

Cardiac patients with psychological distress have a poorer prognosis than patients without distress, potentially reflecting differences in preventive care. We aimed to examine distress-related variation in guideline-recommended medication use for secondary prevention of cardiovascular disease (CVD).

METHODS

Baseline questionnaire data from the 45 and Up Study (collected 2006-2009) were linked to hospitalisation, pharmaceutical dispensing and death records (to exclude those who died). Among participants hospitalised with myocardial infarction, angina, stroke/transient ischaemic attack in the six years before the questionnaire, Modified Poisson regression was used to estimate relative risks (RR) for distress (Kessler 10 scores: low[10- < 12], mild[12- < 16], moderate[16- < 22] and high[22-50]) and use of both blood pressure- and lipid-lowering medications, and use of neither medication in the three months following the questionnaire, adjusting for sociodemographic and health characteristics.

RESULTS

Among 7598 participants, 34.0% had low, 35.4% mild, 18.3% moderate and 12.3% high psychological distress. Around two-thirds (63.4%) were using both medications and the proportion declined with increasing levels of distress: RRs were 1.01(95%CI:0.97-1.05), 0.95(0.90-1.00) and 0.91(0.86-0.97) for mild, moderate and high compared to low distress, respectively (p(trend) = 0.001). The proportion using neither medication was 9.1% and increased with increasing distress: RRs for mild, moderate and high compared to low distress were 0.99(0.82-1.19), 1.30(1.06-1.59) and 1.60(1.28-1.98), respectively (p(trend) < 0.001).

CONCLUSION

Patients with psychological distress may need more support to optimise their use of secondary CVD prevention medications. Increasing the use of these medications for distressed patients may improve prognosis for patients with distress and improve population-level secondary prevention of CVD more broadly.

Depression and Anxiety in Heart Failure: A Review

LEARNING OBJECTIVES

After participating in this activity, learners should be better able to:• Identify the relationships between depression, anxiety, and heart failure (HF).• Assess methods for accurately diagnosing depression and anxiety disorders in patients with HF.• Evaluate current evidence for treatment of anxiety and depression in patients with HF.

BACKGROUND

In patients with heart failure (HF), depression and anxiety disorders are common and associated with adverse outcomes such as reduced adherence to treatment, poor function, increased hospitalizations, and elevated mortality. Despite the adverse impact of these disorders, anxiety and depression remain underdiagnosed and undertreated in HF patients.

METHODS

We performed a targeted literature review to (1) identify associations between depression, anxiety, and HF, (2) examine mechanisms mediating relationships between these conditions and medical outcomes, (3) identify methods for accurately diagnosing depression and anxiety disorders in HF, and (4) review current evidence for treatments of these conditions in this population.

RESULTS

Both depression and anxiety disorders are associated with the development and progression of HF, including increased rates of mortality, likely mediated through both physiologic and behavioral mechanisms. Given the overlap between cardiac and psychiatric symptoms, accurately diagnosing depression or anxiety disorders in HF patients can be challenging. Adherence to formal diagnostic criteria and utilization of a clinical interview are the best courses of action in the evaluation process. There is limited evidence for the efficacy of pharmacologic and psychotherapy in patients with HF. However, cognitive-behavioral therapy has been shown to improve mental health outcomes in patients with HF, and selective serotonin reuptake inhibitors appear safe in this cohort.

CONCLUSIONS

Depression and anxiety disorders in HF patients are common, underrecognized, and linked to adverse outcomes. Further research to improve detection and develop effective treatments for these disorders in HF patients is badly needed.

Lower vitamin D levels are associated with depression in patients with gout

BACKGROUND

Depression is commonly observed among patients with gout. Low levels of vitamin D have been associated with depression in non-gout subjects. We examined the association of vitamin D levels with depression in patients with gout.

METHODS

We conducted a cross-sectional study of 186 gout patients at the Endocrinology Department of First Affiliated Hospital of Jiaxing University. Levels of serum 25-hydroxyvi-tamin D (25(OH)D) were determined using a competitive protein-binding assay. The 17-item Hamilton Depression Scale was used for screening for depressive symptoms. Diagnosis of depression in gout patients was made in accordance with Diagnostic and Statistical Manual of Mental Disorders, fifth edition criteria for depression. Multivariate analysis was performed using logistic regression models.

RESULTS

Thirty-two gout patients (17.2%) were diagnosed as having depression. Patients with depression showed significantly lower 25(OH)D levels as compared to patients without depression (46.4±19.0 vs 57.0±17.3 nmol/L, P<0.001). Significant differences in 25(OH)D quartiles of gout patients were observed between the patients with depression and the patients without depression (P=0.003). In multivariate analyses, serum 25(OH)D levels (≤40.0 nmol/L) were independently associated with depression in patients with gout (OR 3.833, 95% CI 1.406-10.453, P=0.009).

CONCLUSION

Our study demonstrates an important association between serum vitamin D levels and depression in patients with gout.

Medication regimen complexity and its impact on medication adherence and glycemic control among patients with type 2 diabetes mellitus in an Ethiopian general hospital

BACKGROUND

Different studies reported that higher diabetes-specific Medication Regimen Complexity Index (MRCI) has a negative impact on glycemic control potentially by decreasing medication adherence. However, information about regimen complexity and its association with adherence and glycemic control in Ethiopian patients with diabetes is unknown.

AIM

To evaluate medication regimen complexity and to assess its impact on medication adherence and glycemic control among patients with type 2 diabetes Mellitus (T2DM).

METHODS

A hospital-based cross-sectional design was conducted at Debre Tabor General Hospital from 1 May 2018 to 30 June 2018. Medication regimen complexity was evaluated using the 65-item validated tool called Medication Complexity Index (MRCI). Adherence was measured using Morisky Medication Adherence Scale while patients were classified as having poor or good glycemic control based on the recent record of their fasting blood glucose. Multivariable logistic regression analysis was applied to determine the association between predictive variables and outcome variables.

RESULTS

A total of 275 patients with T2DM who meet the inclusion criteria were included in the final analysis. About 22.2% of the participants were classified as having high diabetes-specific MRCI, whereas 35.6% of the participants were classified as having high patient-level MRCI. The majority (70.5%) of the respondents were adherent to their medications, and 42.9% of the total population were categorized as having good glycemic control. According to the result of the multivariate analysis, patients with low-level and moderate-level MRCI of both diabetes-specific and patient-level MRCI were more adherent to their medication compared with patients with high MRCI. High diabetes medication regimen complexity was associated with poor glycemic control in the adjusted analyses (adjusted OR = 0.276; 95% CI = 0.100 o 0.759).

CONCLUSION

The prevalence of high MRCImedication regimen complexity index is high among patients with T2DM. Patients with low and moderate regimen complexity had improved adherence. High diabetes-specific medication regimen complexity was associated with poor glycemic control. Simplification of a complex medication regimen for patients with diabetes should be sought by physicians and pharmacists to improve medication adherence and subsequent improvement in glycemic control.

Non-adherence to cardiovascular drugs in older patients with depression: A population-based cohort study

BACKGROUND

Depression is common among patients with cardiovascular disease and has been associated with both drug non-adherence and increased mortality. Non-adherence can occur because of non-initiation, suboptimal implementation, or non-persistence. We aimed to determine if depression increased the risk of any of these components of non-adherence among older patients prescribed cardiovascular drugs in primary care.

METHODS

A longitudinal analysis of routine primary care data from the Nivel Primary Care Database was performed using data for 2011-2013. A total of 1512 patients aged ≥60 years diagnosed with depression in 2012 were compared with age- and sex-matched groups with either other psychological diagnoses (N = 1457) or mentally healthy controls (N = 1508), resulting in the inclusion of 4477 patients. Non-adherence was classified as non-initiation, suboptimal implementation, or non-persistence. Regression analyses were performed to determine the association between mental health status and non-initiation, suboptimal implementation, and non-persistence.

RESULTS

Mixed-effects logistic regression analyses showed increased odds for suboptimal implementation of beta-blockers among depressed patients (2.18; 95% CI 1.29-3.69). For non-persistence, a clustered Cox regression analysis demonstrated that, compared with controls, there was an increased hazard ratio for depressed patients to discontinue beta-blockers (2.31; 95% CI 1.58-3.37) and calcium antagonists (1.74; 95% CI 1.23-2.46).

CONCLUSIONS

It is likely that older patients in primary care diagnosed with depression are at increased risk of non-persistence with cardiovascular drug therapy. Because non-adherence is associated with increased cardiovascular mortality, it is important that physicians ensure that older depressed patients persevere with therapy.

Trends in diagnosis-specific work disability before and after ischaemic heart disease: a nationwide population-based cohort study in Sweden

OBJECTIVES

We examined trends of diagnosis-specific work disability before and after ischaemic heart disease (IHD).

DESIGN

Participants were followed 4 years before and 4 years after an IHD event for diagnosis-specific work disability (sickness absence and disability pension).

SETTING AND PARTICIPANTS

A Swedish population-based cohort study using register data on all individuals aged 25-60 years, living in Sweden, and who suffered their first IHD event in 2006-2008 (n=23 971) was conducted.

RESULTS

Before the event, the most common diagnoses of work disability were musculoskeletal disorders (21 annual days for men and 44 for women) and mental disorders (19 men and 31 for women). After multivariable adjustments, we observed a fivefold increase (from 12 to 60 days) in work disability due to diseases of the circulatory system in the first postevent year compared with the last pre-event year among men. Among women, the corresponding increase was fourfold (from 14 to 62 days). By the second postevent year, the number of work disability days decreased significantly compared with the first postevent year among both sexes (to 19 days among men and 23 days among women). Among women, mean days of work disability due to diseases of the circulatory system remained at a higher level than among men during the postevent years. Work disability risk after versus before an IHD event was slightly higher among men (rate ratio (RR) 2.49; 95% CI 2.36 to 2.62) than among women (RR 2.29, 95% CI 2.12 to 2.49). When pre-event long-term work disability was excluded, diseases of the circulatory system were the most prevalent diagnosis for work disability after an IHD event among both men and women.

CONCLUSIONS

An IHD event was strongly associated with an increase in work disability due to diseases of the circulatory system, especially among men and particularly in the first postevent year.

Prophylactic antidepressant treatment following acute coronary syndrome: A systematic review of randomized controlled trials

Major depressive disorder is significantly increased in patients following acute coronary syndrome resulting in twofold increased mortality compared with patients without depression. The depression diagnosis is often missed leading to considerable undertreatment. This systematic review assesses the current evidence of primary prophylactic treatment of depression in patients after acute coronary syndrome. The study protocol was prospectively registered at PROSPERO (registration number CRD42015025587). A systematic review were conducted and reported according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. PubMed, Embase, PsychINFO, CINAHL, and Cochran Library was searched. Two independent reviewers screened the records. The inclusion criteria were randomized controlled trials on adult patients with acute coronary syndrome treated prophylactically with an antidepressant intervention of any kind. A validated assessment tool should measure depression and depressive symptoms. Languages were limited to articles written in English. Six articles were included. Four studies utilized different components of case and disease management, health coaching, or relaxational audiotapes as intervention compared with usual care or with no formal program of rehabilitation. None of the studies showed any significant prophylactic effect against depression. One study with a program of health education and counselling and another study with a pharmacological antidepressant showed significant prophylactic effect on depression and depressive symptoms. All six included studies were associated with high risk of bias. There is not strong evidence of the effects of any type of routine antidepressant prophylaxis in patients following acute coronary syndrome. Further high quality studies are warranted.

Emotional distress as a predictor of statin non-adherence among Swedish first-time myocardial infarction patients, 2006-2013

BACKGROUND

Emotional distress (depression and anxiety) has been known to affect mortality after a myocardial infarction (MI). One possible mechanism is through medication non-adherence. Few studies have investigated the link between statin adherence and emotional distress, and results are not consistent. We aimed to explore whether emotional distress affects adherence among first-time MI patients younger than 75years old receiving a prescription for the first time.

METHODS

We identified first-MI individuals younger than 75years from the SWEDEHEART national quality registers discharged with a statin prescription. The main exposure was the anxiety/depression portion of the EQ-5D from Interview 1 (6-10weeks post-MI) and Interview 2 (12-14months post-MI). We calculated adherence from the Swedish Prescribed Drugs Register during three observation periods (OP): [1] Interview 1 to Interview 2, [2] one year post Interview 2, and [3] two years post Interview 1.

RESULTS

Emotional distress at Interview 1 was not associated with statin adherence for OP1 (RR: 0.99, 95% CI: 0.98, 1.01). Emotional distress at Interview 2 was associated with lower adherence one year later (RR: 0.95, 95% CI: 0.93, 0.98). Emotional distress at Interview 1 was associated with a small decrease in adherence in the complete OP for adherence (RR: 0.98, 95% CI: 0.96, 0.99).

CONCLUSION

Emotional distress was marginally, but independently, associated with lower adherence to statin two years after the MI. Our study suggests that emotional distress may be an important factor for long-term statin adherence, and, thus, may play a clinically important role in long-term outcome.

Identifying psychosocial predictors of medication non-adherence following acute coronary syndrome: A systematic review and meta-analysis

OBJECTIVE

Medication non-adherence following acute coronary syndrome (ACS) is associated with poor clinical outcomes. A systematic review and meta-analysis were undertaken to identify psychosocial factors associated with medication adherence in patients with ACS.

METHODS

A search of electronic databases (Cochrane Library, Medline, EMBASE, PsycINFO, Web of Science, International Pharmaceutical Abstracts, CINAHL, ASSIA, OpenGrey, EthOS and WorldCat) was undertaken to identify relevant articles published in English between 2000 and 2014. Articles were screened against our inclusion criteria and data on study design, sample characteristics, predictors, outcomes, analyses, key findings and study limitations were abstracted.

RESULTS

Our search identified 3609 records, of which 17 articles met our inclusion criteria (15 independent studies). Eight out of ten studies found an association between depression and non-adherence. A meta-analysis revealed that depressed patients were twice as likely to be non-adherent compared to patients without depression (OR=2.00, 95% CI 1.57-3.33, p=0.015). Type D personality was found to predict non-adherence in both studies in which it was measured. Three out of three studies reported that treatment beliefs based on the Necessity-Concerns Framework predicted medication non-adherence and there was some evidence that social support was associated with better adherence. There was insufficient data to meta-analyse all other psychosocial factors identified.

CONCLUSION

There was some evidence that psychosocial factors, particularly depression, were associated with medication adherence following ACS. Targeting depressive symptoms, screening for Type D personality, challenging maladaptive treatment beliefs, and providing better social support for patients may be useful strategies to improve medication adherence.

Total daily pill burden in HIV-infected patients in the southern United States

The need for antiretroviral therapy coupled with treatment of chronic co-morbidities places HIV-infected patients at risk for polypharmacy. However, few studies have described overall pill burden among HIV-infected patients. HIV-infected outpatients of the UNC Infectious Diseases Clinic were enrolled in this cross-sectional study. Subjects were contacted prior to a scheduled appointment and asked to bring all their medications to the visit. Daily total pill burden and medication type were recorded. 151 subjects were recruited: 76% male, 58% African American, 97% receiving antiretrovirals (ARVs). Median age was 48 (IRQ: 42-54) years. The median number of medications per subject was 8 (IQR: 6-11), and the median individual daily pill burden was 8 pills (IQR: 5-15): 3 pills (range: 2-5) for ARVs and 6 (range: 3-12.5) pills for non-ARVs. Duration of ART (per 2 years increase) and more than 3 co-morbidities was significantly associated with high pill burden (over 10 pills per day) with adjusted OR of 2.09 (95% CI, 1.14-3.84) and 8.04 (95% CI, 2.30-28.15), respectively. As patients with HIV age, strategies to reduce pill burden and number of medications will become increasingly critical to maintaining adherence, preventing medication errors, and serious drug-drug interactions.

Psychosocial factors and medication adherence among patients with coronary heart disease: A text messaging intervention

OBJECTIVE

Medication adherence is a complex behavior that is influenced by numerous factors. Applying self-efficacy theory, the primary aim of this randomized controlled trial was to compare medication self-efficacy among patients with coronary heart disease who received: (a) text messages (TMs) for medication reminders and education, (b) TMs for education, or (c) no TMs. The second aim was to identify the personal (sociodemographic and clinical characteristics) and psychosocial factors that were associated with and predicted medication adherence.

METHODS

Customized TMs were delivered over 30 days. Repeated measures analysis of variance was used to analyze medication self-efficacy. A multiple regression analysis was performed at baseline and follow-up to determine variables that were associated with and predicted self-reported medication adherence.

RESULTS

Among 90 subjects with mean age 59.2 years (standard deviation (SD) 9.4, range 35-83), total scores for medication self-efficacy improved over 30 days; however, there was no significant difference in this improvement as a function of the different treatment groups (p=0.64). Controlling for other variables in the model (age, education, depression, and social support), less depression (p=0.004) and higher social support (p=0.02) positively predicted higher medication adherence in the final model.

CONCLUSIONS

TM medication reminders and/or health education did not improve medication self-efficacy. Further theory testing of current and future models and interventions are required to understand variables related to self-efficacy and medication adherence. Addressing psychosocial factors such as depression and social support should be a priority to improve medication adherence among patients with coronary heart disease.

Adjusted prognostic association of depression following myocardial infarction with mortality and cardiovascular events: individual patient data meta-analysis

BACKGROUND

The association between depression after myocardial infarction and increased risk of mortality and cardiac morbidity may be due to cardiac disease severity.

AIMS

To combine original data from studies on the association between post-infarction depression and prognosis into one database, and to investigate to what extent such depression predicts prognosis independently of disease severity.

METHOD

An individual patient data meta-analysis of studies was conducted using multilevel, multivariable Cox regression analyses.

RESULTS

Sixteen studies participated, creating a database of 10 175 post-infarction cases. Hazard ratios for post-infarction depression were 1.32 (95% CI 1.26-1.38, P<0.001) for all-cause mortality and 1.19 (95% CI 1.14-1.24, P<0.001) for cardiovascular events. Hazard ratios adjusted for disease severity were attenuated by 28% and 25% respectively.

CONCLUSIONS

The association between depression following myocardial infarction and prognosis is attenuated after adjustment for cardiac disease severity. Still, depression remains independently associated with prognosis, with a 22% increased risk of all-cause mortality and a 13% increased risk of cardiovascular events per standard deviation in depression z-score.

Depression as a Predictor of Length of Stay in Patients Admitted to the Cardiovascular Intensive Care Unit at a University Medical Center

Depression is a predictor of length of stay (LOS) and adverse outcomes in patients with cardiac disease. Our objective was to assess the impact of depression on LOS in a Hispanic population admitted to a cardiovascular intensive care unit (CVICU). This was a prospective study of 151 consecutive patients admitted to the CVICU. Patients were administered the Center for Epidemiologic Studies Depression (CES-D) scale survey within 24 hours of admission. Patients were followed until discharge to determine LOS and adverse outcomes. Depression was more prevalent in Hispanic patients than in nonHispanic patients based on the CES-D scores (41% vs 14%). Using multivariate analysis, the presence of depression was a significant predictor of increased LOS ( P = .001). Depression has a significant impact on LOS in a Hispanic population. Appropriate treatment of depression may decrease LOS and has the potential to be cost effective in the current health care environment.

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.

Depression and cardiac disease: epidemiology, mechanisms, and diagnosis

In patients with cardiovascular disease (CVD), depression is common, persistent, and associated with worse health-related quality of life, recurrent cardiac events, and mortality. Both physiological and behavioral factors—including endothelial dysfunction, platelet abnormalities, inflammation, autonomic nervous system dysfunction, and reduced engagement in health-promoting activities—may link depression with adverse cardiac outcomes. Because of the potential impact of depression on quality of life and cardiac outcomes, the American Heart Association has recommended routine depression screening of all cardiac patients with the 2- and 9-item Patient Health Questionnaires. However, despite the availability of these easy-to-use screening tools and effective treatments, depression is underrecognized and undertreated in patients with CVD. In this paper, we review the literature on epidemiology, phenomenology, comorbid conditions, and risk factors for depression in cardiac disease. We outline the associations between depression and cardiac outcomes, as well as the mechanisms that may mediate these links. Finally, we discuss the evidence for and against routine depression screening in patients with CVD and make specific recommendations for when and how to assess for depression in this high-risk population.

Association of anxious and depressive symptoms with medication nonadherence in patients with stable coronary artery disease

OBJECTIVE

Depression and anxiety lead to increased morbidity and mortality in patients with coronary artery disease (CAD). Medication nonadherence is one possible pathway contributing to adverse outcome, but it is unknown how either depression or anxiety itself influences adherence compared to combined depressive-anxious comorbidity. The aim of the study was to evaluate the influence of simultaneous depressive and anxious symptoms on medication adherence in patients with stable CAD.

METHODS

Between 02/2009 and 06/2010 we examined the association between current depressive and anxious symptoms with medication nonadherence in a cross-sectional study of 606 inpatients with stable CAD. Symptoms were assessed by using the Hospital Anxiety and Depression Scale. Morisky Medical Adherence Scale measured medication adherence.

RESULTS

Depressive and anxious symptoms were weakly and independently associated with medication nonadherence (r=0.28, p<0.01 and r=0.27, p<0.01 respectively). Compared to non-depressed, patients with depressive symptoms had an up to 3.6-fold odds, those with anxious symptoms an up to 3.2-fold odds of nonadherence. The presence of combined anxiety and depressive symptoms was also weakly correlated with adherence (r=0.30, p<0.01). The risk for nonadherence in patients suffering from both anxiety and depression was up to 4.4 times higher compared to patients without symptoms.

CONCLUSION

Apart from depressive symptoms, anxiety is a second important and independent marker for nonadherence in patients with coronary artery disease. The negative effect of anxiety on medication adherence increases in case of comorbid depressive symptoms. Future studies addressing medication adherence should focus more on anxious-depressive comorbidity than on singular depressive or anxious symptoms.

Comparing Medication Adherence Methods in Lipid-Modifying Therapy

Background:

Investigators have employed a number of different methods to calculate adherence estimates for patients taking lipid-modifying therapy (LMT), including measures with different numerator and denominator options. Although at least one method is known to correlate well with cardiovascular outcomes, most have not been evaluated in outcomes studies.

Objectives:

To evaluate different methods for measuring adherence, using LMT as a case example, and to determine whether estimates for adherence differ statistically and/or whether different methods can lead to different conclusions about patient adherence.

Methods:

Adherence ratios were calculated using 8 different methods for 12,448 patients who were in a managed-care system and were considered new starts with statin therapy. The calculated measures were compared and tested for differences. Patients were categorized as adherent by each method, using a threshold of 0.8, and the proportions of patients categorized as adherent were compared for differences between adherence calculation methods.

Results:

Adherence ratios calculated with like observation intervals did not vary substantially, regardless of which method for measuring medication availability was used. Those calculated with different observation intervals had substantial variability. Mean adherence ratios ranged between 0.777 and 0.798 for difference in days' observation intervals; they ranged between 0.618 and 0.630 for the predefined interval. Differences between ratios calculated using these different denominators were statistically significant (p < 0.008). Correlations between ratios were statistically significant for all comparisons (p < 0.001). Correlation coefficients ( r) were 0.64 for comparisons between ratios with different denominators versus 1.0 for comparisons with like denominators. Categorization as adherent or nonadherent differed between the methods for about 20% of patients.

Conclusions:

Significant differences were found to be based on observation period but not on medication availability. Studies of adherence should be interpreted with caution depending on which method is used, and particular interest should be paid to whether the choice of methods is consistent with study objectives and to the observation interval, as different methods may lead to different conclusions about patient adherence. Further research in LMT and other therapeutic areas is needed to determine which methods correlate best with positive patient outcomes, such as reductions in low-density lipoprotein cholesterol and cardiovascular events.

Depression and cardiac disease: a review

Depression is highly prevalent in cardiac patients, with 20% to 40% of patients meeting criteria for major depressive disorder or experiencing an elevation in depressive symptoms. These depressive symptoms are often chronic and persistent, and they have been associated with the development and progression of coronary artery disease, worse health-related quality of life, poor physical functioning, recurrent cardiac events, and a 2- to 2.5-fold increased risk of mortality. Impaired adherence to health behaviors and adverse physiological effects of depression, including inflammation, endothelial dysfunction, platelet hyperactivity, and autonomic nervous system abnormalities, may link depression with adverse cardiac outcomes. Pharmacologic and psychotherapeutic interventions appear to be safe and effective at reducing depressive symptoms in patients with cardiovascular disease and may impact cardiac outcomes. Unfortunately, depression often is unrecognized and untreated in this population, despite the availability of brief screening tools that can be used for this purpose. We recommend the routine screening of cardiac patients for depression when there are adequate mechanisms for management and referral, such as available consulting psychiatrists or care management programs that facilitate the delivery of pharmacologic and psychotherapeutic treatments in this vulnerable population.