Adherence to Pharmacotherapies After Heart Transplantation in Relation to Multimorbidity and Socioeconomic Position: A Nationwide Register-Based Study.

No studies have examined the impact of multimorbidity and socioeconomic position (SEP) on adherence to the pharmacological therapies following heart transplantation (HTx). Using nationwide Danish registers, we tested the hypothesis that multimorbidity and SEP affect treatment patterns and adherence to pharmacological therapies in first-time HTx recipients. Pharmacological management included cost-free immunosuppressants and adjuvant medical treatment (preventive and hypertensive pharmacotherapies; loop diuretics). We enrolled 512 recipients. The median (IQR) age was 51 years (38-58 years) and 393 recipients (77%) were males. In recipients with at least two chronic diseases, prevalence of treatment with antihypertensive pharmacotherapies and loop diuretics was higher. The overall prevalence of adherence to treatment with tacrolimus or mycophenolate mofetil was at least 80%. Prevalence of adherence to preventive pharmacotherapies ranged between 65% and 95% and between 66% and 88% for antihypertensive pharmacotherapies and loop diuretics, respectively. In socioeconomically disadvantaged recipients, both the number of recipients treated with and adherence to cost-free everolimus, lipid modifying agents, angiotensin-converting enzyme/angiotensin II inhibitors, calcium channel blockers, and loop diuretics were lower. In recipients with multimorbidity, prevalence of treatment with antihypertensive pharmacotherapies and loop diuretics was higher. Among socioeconomically disadvantaged recipients, both number of patients treated with and adherence to cost-free everolimus and adjuvant pharmacotherapies were lower.

Individual-Level Socioeconomic Position and Long-Term Prognosis in Danish Heart-Transplant Recipients.

Socioeconomic deprivation can limit access to healthcare. Important gaps persist in the understanding of how individual indicators of socioeconomic disadvantage may affect clinical outcomes after heart transplantation. We sought to examine the impact of individual-level socioeconomic position (SEP) on prognosis of heart-transplant recipients. A population-based study including all Danish first-time heart-transplant recipients (n = 649) was conducted. Data were linked across complete national health registers. Associations were evaluated between SEP and all-cause mortality and first-time major adverse cardiovascular event (MACE) during follow-up periods. The half-time survival was 15.6 years (20-year period). In total, 330 (51%) of recipients experienced a first-time cardiovascular event and the most frequent was graft failure (42%). Both acute myocardial infarction and cardiac arrest occurred in ≤5 of recipients. Low educational level was associated with increased all-cause mortality 10-20 years post-transplant (adjusted hazard ratio [HR] 1.95, 95% confidence interval [CI] 1.19-3.19). During 1-10 years post-transplant, low educational level (adjusted HR 1.66, 95% CI 1.14-2.43) and low income (adjusted HR 1.81, 95% CI 1.02-3.22) were associated with a first-time MACE. In a country with free access to multidisciplinary team management, low levels of education and income were associated with a poorer prognosis after heart transplantation.

Supplementing prediction by EuroSCORE with social and patient-reported measures among patients undergoing cardiac surgery.

OBJECTIVES: The risk of poor outcomes is traditionally attributed to biological and physiological processes in cardiac surgery. However, evidence exists that other factors, such as emotional, behavioral, social, and functional, are predictive of poor outcomes. Objectives were to evaluate the predictive value of several emotional, social, functional, and behavioral factors on four outcomes: death within 90 days, prolonged stay in intensive care, prolonged hospital admission, and readmission within 90 days following cardiac surgery. METHODS: This prospective study included adults undergoing cardiac surgery 2013-2014, including information on register-based socioeconomic factors and self-reported health in a nested subsample. Logistic regression analyses to determine the association and incremental value of each candidate predictor variable were conducted. Multiple regression analyses were used to determine the incremental value of each candidate predictor variable, as well as discrimination and calibration based on the area under the curve (AUC) and Brier score. RESULTS: Of 3217 patients, 3% died, 9% had prolonged intensive care stay, 51% had prolonged hospital admission, and 39% were readmitted to hospital. Patients living alone (odds ratio, 1.19; 95% confidence interval, 1.02-1.38), with lower educational levels (1.27; 1.04-1.54) and low health-related quality of life (1.43; 1.02-2.01) had prolonged hospital admission. Analyses revealed living alone as predictive of prolonged intensive care unit (ICU) stay (Brier, 0.08; AUC, 0.68), death (0.03; 0.71), and prolonged hospital admission (0.24; 0.62). CONCLUSION: Living alone was found to supplement EuroSCORE in predicting death, prolonged hospital admission, and prolonged ICU stay following cardiac surgery. Low educational level and impaired health-related quality of life were, furthermore, predictive of prolonged hospital admission.

Educational inequality in patient-reported outcomes but not mortality among cardiac patients: Results from the national DenHeart survey with register follow-up.

Aims: This study aimed to explore whether educational level is associated with mental and physical health status, anxiety and depression symptoms and quality of life at hospital discharge and predicts cardiac events and all-cause mortality 1 year after hospital discharge in patients with ischaemic heart disease, arrhythmias, heart failure or heart valve disease. Methods: The DenHeart survey is cross-sectional and combined with data from national registers. Information on educational level and co-morbidity at hospital discharge and cardiac events and mortality 1-year post-discharge was obtained from registers. Patient-reported outcomes included SF-12, Hospital Anxiety and Depression Scale and HeartQoL. Multivariate linear and logistic regression and Cox proportional hazards regression models were used. Results: A total of 13,145 patients were included. A significant educational gradient was found in patient-reported mental and physical health status, anxiety and depression symptoms and quality of life, with lower educational groups reporting worse outcomes in adjusted analyses. No association was found between educational level and risk of cardiac events or all-cause mortality within 1 year after hospital discharge in adjusted analyses. Conclusions: In a large population of patients with cardiac disease a significant educational gradient was found in mental and physical health and quality of life at hospital discharge. There was, however, no association between educational level and risk of cardiac events or mortality 1 year after hospital discharge.

Socio-economic position, multimorbidity, and health care utilization among Danish left ventricular assist device patients.

AIMS: Increasing numbers of patients with advanced heart failure and significant comorbidity and social barriers are considered for left ventricular assist devices (LVADs). We sought to examine health care utilization post-LVAD implantation, including the influence of individual-level socio-economic position and multimorbidity. METHODS AND RESULTS: We conducted a Danish nationwide cohort study linking individual-level data from clinical LVAD databases, the Scandiatransplant Database, and Danish national medical and administrative registries. Socio-economic position included cohabitation status, educational level, and employment status. Multimorbidity was defined as two or more chronic conditions from at least two chronic disease groups. Health care utilization (hospital activity, general practice activity, and redeemed medical prescriptions) within 2 years post-discharge after LVAD implantation was evaluated using descriptive statistics at 0.5 year intervals. We identified 119 patients discharged alive with first-time LVAD implanted between 2006 and 2018. The median age of the patients was 56.1 years, and 88.2% were male. Patients were followed until heart transplantation, LVAD explantation, death, 31 December 2018, or for 2 years. The median follow-up was 0.8 years. The highest median use of health care services was observed 0-0.5 years post-LVAD discharge compared with the subsequent follow-up intervals: 0.5-1, 1-1.5, and 1.5-2 years, respectively. The median (interquartile range) number of hospitalizations was 10 (7-14), bed days 14 (9-28), outpatient visits 8 (5-12), telephone contacts with a general practitioner 4 (2-8), and total redeemed medical prescriptions 26 (19-37) within 0-0.5 years post-LVAD discharge compared with the median utilization within the consecutive follow-up periods [e.g. within 0.5-1 year: hospitalizations 5 (3-8), bed days 8 (4-14), outpatient visits 5 (3-8), telephone contacts 2 (0-5), and redeemed medical prescriptions 24 (18-30)]. The median use of health care services was stable from 0.5 years onwards. The median number of hospitalizations and bed days was slightly higher in patients living alone with a low educational level or low employment status within 0-0.5 years post-LVAD implantation. Finally, the median number of in-hospital days and redeemed prescriptions was higher among patients with pre-existing multimorbidity. CONCLUSIONS: Among patients who underwent LVAD implantation, health care utilization was high in the early post-LVAD discharge phase and was influenced by socio-economic position. Multimorbidity influenced the number of in-hospital days and redeemed prescriptions during the 2 year follow-up.

The Ability of Comorbidity Indices to Predict Mortality After Heart Transplantation: A Validation of the Danish Comorbidity Index for Acute Myocardial Infarction, Charlson Comorbidity Index, and Elixhauser Comorbidity Index.

Advanced heart failure patients often have comorbidities of prognostic importance. However, whether total pretransplantation comorbidity burden predicts mortality in patients treated with heart transplantation (HTx) is unknown. We used population-based hospital and prescription data to examine the ability of the Danish Comorbidity Index for Acute Myocardial Infarction (DANCAMI), DANCAMI restricted to noncardiovascular diseases, Charlson Comorbidity Index, and Elixhauser Comorbidity Index to predict 30-d, 1-y, 5-y, and 10-y all-cause and cardiovascular mortality after HTx. Methods: We identified all adult Danish patients with incident HTx from the Scandiatransplant Database between March 1, 1995, and December 31, 2018 (n = 563). We calculated Harrell's C-Statistics to examine discriminatory performance. Results: The C-Statistic for predicting 1-y all-cause mortality after HTx was 0.58 (95% confidence interval [CI], 0.50-0.65) for a baseline model including age and sex. Adding comorbidity score to the baseline model did not increase the C-Statistics for DANCAMI (0.58; 95% CI, 0.50-0.65), DANCAMI restricted to noncardiovascular diseases (0.57; 95% CI, 0.50-0.64), Charlson Comorbidity Index (0.59; 95% CI, 0.51-0.66), or Elixhauser Comorbidity Index (0.58; 95% CI, 0.51-0.65). The results for 30-d, 5-y, and 10-y all-cause and cardiovascular mortality were consistent. Conclusions: After accounting for patient age and sex, none of the commonly used comorbidity indices added predictive value to short- or long-term all-cause or cardiovascular mortality after HTx.

Long-Term Medical Treatment and Adherence in Patients With Left Ventricular Assist Devices: A Danish Nationwide Cohort Study.

The use of a left ventricular assist device (LVAD) in treating advanced heart failure has increased. However, data regarding medical treatment and adherence following LVAD implantation is sparse, particularly whether socioeconomic factors (cohabitation status, educational level, employment status, and income) and multimorbidity influence these aspects, which are known to impact adherence in heart failure patients. We performed a nationwide cohort study of 119 patients with LVAD implanted between January 1, 2006, and December 31, 2018, who were discharged alive with LVAD therapy. We linked individual-level data from clinical LVAD databases, the Scandiatransplant Database, and Danish medical and administrative registers. Medical treatment 90-day pre-LVAD and 720-day post-LVAD were assessed using descriptive statistics in 90-day intervals. Medication adherence (proportion of days covered ≥80%) was assessed 181- to 720-day post-LVAD. The proportions of patients using angiotensin-converting enzyme inhibitors/angiotensin receptor blockers (88.7%), beta-blockers (67.0%), mineralocorticoid receptor antagonists (62.9%), warfarin (87.6%), and aspirin (55.7%) within 90-day post-LVAD were higher than pre-LVAD and were stable during follow-up. Medication adherence ranged from 86.7% (aspirin) to 97.8% (warfarin). Socioeconomic factors and multimorbidity did not influence medical medication use and adherence. Among LVAD patients, medical treatment and adherence are at high levels, regardless of socioeconomic background and multimorbidity.

Patient-reported outcome is associated with health care costs in patients with ischaemic heart disease and arrhythmia.

AIMS: Systematic use of patient-reported outcomes (PROs) have the potential to improve quality of care and reduce costs of health care services. We aimed to describe whether PROs in patients diagnosed with heart disease are directly associated with health care costs. METHODS AND RESULTS: A national cross-sectional survey including PROs at discharge from a heart centre with 1-year follow-up using data from national registers. We included patients with either ischaemic heart disease (IHD), arrhythmia, heart failure (HF), or valvular heart disease (VHD). The Hospital Anxiety and Depression Scale, the heart-specific quality of life, the EuroQol five-dimensional questionnaire, and the Edmonton Symptom Assessment Scale were used. The economic analysis was based on direct costs including primary, secondary health care, and medical treatment. Patient-reported outcomes were available from 13 463 eligible patients out of 25.241 [IHD (n = 7179), arrhythmia (n = 4322), HF (n = 987), or VHD (n = 975)]. Mean annual total direct costs in all patients were €23 228 (patients with IHD: €19 479, patients with arrhythmia: €21 076, patients with HF: €34 747, patients with VDH: €48 677). Hospitalizations contributed overall to the highest part of direct costs. For patients discharged with IHD or arrhythmia, symptoms of anxiety or depression, worst heart-specific quality of life or health status, and the highest symptom burden were associated with increased economic expenditure. We found no associations in patients with HF or VHD. CONCLUSION: Patient-reported outcomes at discharge from a heart centre were associated with direct health care costs in patients with IHD and arrhythmia. REGISTRATION: ClinicalTrials.gov: NCT01926145.

Influence of multimorbidity and socioeconomic factors on long-term cross-sectional health care service utilization in heart transplant recipients: A Danish cohort study.

BACKGROUND: Survival after heart transplantation has increased due to continuously refined and effective care management. Knowledge is sparse on the influence of multimorbidity and social vulnerability on management. We assessed the long-term influence of multimorbidity and socioeconomic factors on cross-sectional health care service utilization in heart transplant recipients. METHODS: First-time heart transplant recipients, from the Transplant Center at Aarhus University Hospital, were followed from transplant until December 31, 2018. We linked individual-level data from the Scandiatransplant Database to Danish national registers. We followed recipients for 15 years using descriptive statistic. RESULTS: We identified 325 recipients; 79% were male and 60% were between 41 and 60 years of age. The median (IQR) number of chronic conditions at baseline was 1.0 (1.0-2.0). The prevalence of recipients with ≥3 chronic conditions in the follow-up period 0 to 1 year was 10% and 65% within 10 to 15 years. The median use of cross-sectional health care services was higher in recipients with ≥3 chronic conditions compared to <3 chronic conditions during follow-up intervals. The median utilization of hospital outpatient visits and consultations in general practice were higher in recipients with low educational level, low employment status, or low income, respectively. We observed lower median number of redeemed prescriptions for medical therapies in recipients living alone or within the lowest income group. CONCLUSIONS: The use of cross-sectional health care services was higher in heart transplant recipients with increased incidence of comorbidities during follow-up intervals. A socioeconomic influence was observed in the utilization of services.

Predictors of patient-reported outcomes at discharge in patients with heart failure.

BACKGROUND: It is well-established that heart failure has a negative impact on quality of life. However, little is known about patient-related predictors of health-related quality of life, anxiety and depression, symptoms and illness perception among patients with heart failure. AIM: To study the association between patient-related predictors and patient-reported outcome measures at discharge from hospital in a cohort of patients with heart failure. METHODS: We used data from 1506 patients with heart failure, participating in the national DenHeart Survey of patient-reported outcome measures in patients with heart disease. The potential patient-related predictors included demographic, administrative, clinical and socioeconomic factors. The patient-reported outcome measures included six questionnaires: the Short Form-12, the Hospital Anxiety and Depression Scale, the EuroQol five-dimensional, five-level questionnaire, the HeartQoL, the Brief Illness Perception Questionnaire and the Edmonton Symptom Assessment Scale. Data were linked to national patient registry data and medical records. We performed multivariable linear and logistic regression analyses. RESULTS: In adjusted linear regression analyses we found that a length of hospital stay of >2 days was associated with worse scores across questionnaires, except for the Brief Illness Perception Questionnaire. Higher comorbidity level was associated with worse scores across all questionnaires, whereas low social support was associated with worse scores across questionnaires, except for the physical domain of the Short Form-12 and the HeartQoL global score. CONCLUSIONS: This study identified length of hospital stay > 2 days, a higher comorbidity level and low social support to be associated with worse scores across questionnaires at discharge from a cardiac-related hospitalisation in patients with heart failure.

Visualization of Coronary Artery Calcification: Influence on Risk Modification.

OBJECTIVES: Direct health provider to patient presentation of coronary computed tomography angiography findings may increase adherence to preventive therapy and risk modification. The purpose of this study was to assess the influence of visualization of coronary artery calcification and lifestyle recommendations on cholesterol concentrations and other risk variables in symptomatic patients with nonobstructive coronary artery disease and hyperlipidemia. METHODS: We performed a prospective 2-center randomized controlled trial. Patients were randomized 1:1 to intervention or standard follow-up in general practice. The primary end point was change in plasma total cholesterol concentration at 6 months follow-up. RESULTS: We included 189 patients (mean [± standard deviation] age 61 [12] years, 57% were male). Median (range) Agatston score was 166 (70-2054). The reduction in plasma total cholesterol concentrations tended to be higher in the intervention group than in the control group, 51.04 mg/dL versus 45.63 mg/dL (P = .181). In a subgroup including patients continuing statin therapy during follow-up (n = 147), the reduction in plasma total cholesterol concentrations was more pronounced in the intervention group than in the control group, 66.13 mg/dL versus 55.68 mg/dL (P = .027). In the intervention group, there was a higher degree of statin adherence and a higher proportion of patients who stopped smoking and commenced healthier dietary behavior than in the control group. CONCLUSIONS: Visualization of coronary artery calcification and brief recommendations about risk modification after coronary computed tomography angiography in symptomatic patients with nonobstructive coronary artery disease and hyperlipidemia may have a favorable influence on plasma total cholesterol concentration, adherence to statin therapy, and risk behavior. Further investigations are needed.