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.

Influence of socioeconomic status on rates of advanced heart failure therapies

BACKGROUND

Socioeconomic deprivation is associated with a lower likelihood of referral for advanced heart failure (HF) evaluation, but it is not known whether it influences rates of advanced HF therapies independently of key hemodynamic measures and comorbidity following advanced HF evaluation in a universal healthcare system.

METHODS

We linked data from a single-center Danish clinical registry of consecutive patients evaluated for advanced HF with patient-level information on socioeconomic status. Patients were divided into groups based on the level of education (low, medium, and high), combined degree of socioeconomic deprivation (low, medium, and high), and household income quartiles. Rates of the combined outcome of left ventricular assist device implantation or heart transplantation (advanced HF therapy) with death as a competing risk were estimated with cumulative incidence functions, and Cox proportional hazards models adjusted for age, sex, central venous pressure, cardiac index, and comorbidities.

RESULTS

We included 629 patients, median age 53 years, of whom 77% were men. During a median follow-up of 5 years, 179 (28%) underwent advanced HF therapy. The highest level of education was associated with higher rates (high vs low, adjusted HR 1.81 95% CI 1.14-2.89, p = 0.01), whereas household income quartile groups (Q4 vs Q1, adjusted HR 1.37 95% CI 0.76-2.47, p = 0.30) or groups of combined socioeconomic deprivation (high vs low degree of deprivation, adjusted HR 0.86 95% CI 0.50-1.46, p = 0.56) were not significantly associated with rates of advanced HF therapy.

CONCLUSIONS

Patients with a lower level of education might be disfavored for advanced HF therapies and could require specific attention in the advanced HF care center.

The different risk of new-onset, chronic, worsening, and advanced heart failure: A systematic review and meta-regression analysis

AIMS

Heart failure (HF) is a chronic and progressive syndrome associated with a poor prognosis. While it may seem intuitive that the risk of adverse outcomes varies across the different stages of HF, an overview of these risks is lacking. This study aims to determine the risk of all-cause mortality and HF hospitalizations associated with new-onset HF, chronic HF (CHF), worsening HF (WHF), and advanced HF.

METHODS AND RESULTS

We performed a systematic review of observational studies from 2012 to 2022 using five different databases. The primary outcomes were 30-day and 1-year all-cause mortality, as well as 1-year HF hospitalization. Studies were pooled using random effects meta-analysis, and mixed-effects meta-regression was used to compare the different HF groups. Among the 15 759 studies screened, 66 were included representing 862 046 HF patients. Pooled 30-day mortality rates did not reveal a significant distinction between hospital-admitted patients, with rates of 10.13% for new-onset HF and 8.11% for WHF (p = 0.10). However, the 1-year mortality risk differed and increased stepwise from CHF to advanced HF, with a rate of 8.47% (95% confidence interval [CI] 7.24-9.89) for CHF, 21.15% (95% CI 17.78-24.95) for new-onset HF, 26.84% (95% CI 23.74-30.19) for WHF, and 29.74% (95% CI 24.15-36.10) for advanced HF. Readmission rates for HF at 1 year followed a similar trend.

CONCLUSIONS

Our meta-analysis of observational studies confirms the different risk for adverse outcomes across the distinct HF stages. Moreover, it emphasizes the negative prognostic value of WHF as the first progressive stage from CHF towards advanced HF.

Mortality differences by race over 20 years in individuals with peripheral artery disease

INTRODUCTION

Racial disparities exist in patients with peripheral artery disease (PAD), with Black individuals having worse PAD-specific outcomes. However, mortality risk in this population has been mixed. As such, we sought to evaluate all-cause mortality by race among individuals with PAD.

METHODS

We analyzed data from the National Health and Nutrition Examination Survey (NHANES). Baseline data were obtained from 1999 to 2004. Patients with PAD were grouped according to self-reported race. Multivariable Cox proportional hazards regression was performed to calculate adjusted hazard ratios (HR) by race. A separate analysis was performed to study the effect of burden of social determinants of health (SDoH) on all-cause mortality.

RESULTS

Of 647 individuals identified, 130 were Black and 323 were White. Black individuals had more premature PAD (30% vs 20%, p < 0.001) and a higher burden of SDoH compared to White individuals. Crude mortality rates were higher in Black individuals in the 40-49-year and 50-69-year age groups compared to White individuals (6.7% vs 6.1% and 8.8% vs 7.8%, respectively). Multivariable analysis demonstrated that Black individuals with both PAD and coronary artery disease (CAD) had a 30% higher hazard of death over 20 years compared to White individuals (HR = 1.3, 95% CI: 1.0-2.1). The cumulative burden of SDoH marginally (10-20%) increased the risk of all-cause mortality.

CONCLUSIONS

In a nationally representative sample, Black individuals with PAD and CAD had higher rates of mortality compared to their White counterparts. These findings add further proof to the ongoing racial disparities among Black individuals with PAD and highlight the necessity to identify ways to mitigate these differences.

Global burden of heart failure: a comprehensive and updated review of epidemiology

Heart Failure (HF) is a multi-faceted and life-threatening syndrome characterized by significant morbidity and mortality, poor functional capacity and quality of life, and high costs. HF affects more than 64 million people worldwide. Therefore, attempts to decrease its social and economic burden have become a major global public health priority. While the incidence of HF has stabilized and seems to be declining in industrialized countries, the prevalence is increasing due to the ageing of the population, improved treatment of and survival with ischaemic heart disease, and the availability of effective evidence-based therapies prolonging life in patients with HF. There are geographical variations in HF epidemiology. There is substantial lack of data from developing countries, where HF exhibits different features compared with that observed in the Western world. In this review, we provide a contemporary overview on the global burden of HF, providing updated estimates on prevalence, incidence, outcomes, and costs worldwide.

Variability in Cardiovascular Risk Factor Control in Patients with Heart Failure According to Gender and Socioeconomic Status

Background: Despite considerable evidence concerning heart failure (HF) risk factors, there is scarce information about the effect and degree of control regarding socioeconomic and gender inequalities. Methods: Cohort study including HF patients >40 years of age attended in 53 primary health care centers in Barcelona (Spain). Socioeconomic status (SES) was determined by an aggregated deprivation index (MEDEA) according to the neighborhood of residence. Logistic multivariable regression was performed to analyze differences in cardiovascular risk factor control, stratifying by SES and sex. Results: A total of 8235 HF patients were included. Mean age was 78.1 (standard deviation 10.2) years, and 56.0% were women. The most prevalent cardiovascular risk factors were hypertension, diabetes, and dyslipidemia. Blood pressure was the worst controlled factor in both genders with the lowest SES (odds ratio [OR] 0.56 95% confidence interval [CI] 0.56-0.71) and (OR 0.52, 0.46-0.71), respectively. In women, a social gradient was observed for glycemic and body mass index control, which were worse in the most unfavorable socioeconomic position (OR 0.54, 95% CI 0.38-0.77), and (OR 0.45, 95% CI 0.32-0.64), respectively. Men presented worse control of blood pressure (OR 0.55, 95% CI 0.42-0.71) and smoking habit (OR 0.67, 95% CI 0.47-0.90) in the most deprived socioeconomic bracket. Conclusions: Patients with HF in the most disadvantaged socioeconomic levels presented the worst degree of control for cardiovascular risk factors, and this negative effect was stronger in women.

Socio-economic status and 1 year mortality among patients hospitalized for heart failure in China

AIMS

This study explored the association between socio-economic status (SES) and mortality among patients hospitalized for heart failure (HF) in China.

METHODS AND RESULTS

We used data from the China Patient-centred Evaluative Assessment of Cardiac Events-Prospective Heart Failure Study (China PEACE 5p-HF Study), which enrolled patients hospitalized primarily for HF from 52 hospitals between 2016 and 2018. SES was measured using the income, employment status, educational attainment, and partner status. Individual socio-economic risk factor (SERF) scores were assigned based on the number of coexisting SERFs, including low income, unemployed status, low education, and unpartnered status. We assessed the effects of SES on 1 year all-cause mortality using Cox models. We used the Harrell c statistic to investigate whether SES added incremental prognostic information for mortality prediction. A total of 4725 patients were included in the analysis. The median (interquartile range) age was 67 (57-76) years; 37.6% were women. In risk-adjusted analyses, patients with low/middle income [low income: hazard ratio (HR) 1.61, 95% confidence interval (CI) 1.21-2.14; middle income: HR 1.32, 95% CI 1.00-1.74], unemployment status (HR 1.43, 95% CI 1.10-1.86), low education (HR 1.25, 95% CI 1.03-1.53), and unpartnered status (HR 1.22, 95% CI 1.03-1.46) had a higher risk of death than patients with high income, who were employed, who had a high education level, and who had a partner, respectively. Compared with the patients without SERFs, those with 1, 2, 3, and 4 SERFs had 1.52-, 2.01-, 2.45-, and 3.20-fold increased risk of death, respectively. The addition of SES to fully adjusted model improved the mortality prediction, with increments in c statistic of 0.01 (P < 0.01).

CONCLUSIONS

In a national Chinese cohort of patients hospitalized for HF, low income, unemployment status, low education, and unpartnered status were all associated with a higher risk of death 1 year following discharge. In addition, incorporating SES into a clinical-based model could better identify patients at risk for death. Tailored clinical interventions are needed to mitigate the excess risk experienced by those socio-economic deprived HF patients.

Comparative Analysis of Stroke Patients with and without Sequelae: A Cross-Sectional Analysis Using the KOREA National Health and Nutrition Examination Survey (2016-2019)

(1) Background: We aimed to evaluate the association between sociodemographic factors and mental health problems and the sequelae of stroke in South Korea by analyzing the annual Korea National Health and Nutrition Examination Surveys (KNHANES) conducted from 2016 to 2019. (2) Methods: Data were obtained from 32,379 participants who participated in the KNHANES (2016-2019). A total of 567 participants diagnosed with stroke were included in this study. Patients were divided into two groups based on the presence of sequelae: (a) stroke patients with sequelae (n = 227, 40.0%) and (b) stroke patients without sequelae (n = 340, 60.0%). (3) Results: Compared to stroke patients without sequelae, those with sequelae were significantly associated with sex (male, 61.2% vs. 47.6%, p = 0.002), household income (lower half, 78.9% vs. 67.4%, p = 0.005), owning a house (60.4% vs. 68.5%, p = 0.048), marital status (unmarried, 7.05% vs. 1.76%, p < 0.001), depression (13.2% vs. 7.35%, p = 0.045), suicidal ideation (6.17% vs. 3.24%, p = 0.010), and suicide attempts (2.64% vs. 0.88%, p = 0.012). (4) Conclusions: Our study showed that poor sociodemographic factors and mental health problems were significantly associated with sequelae from stroke. Clinical physicians should therefore carefully screen for depression and suicidality in stroke patients with sequelae, especially in those with poor sociodemographic factors.

The mediating role of effective treatments in the relationship between income level and survival in patients with heart failure: a sex- and cohabitation-stratified study

AIMS 

Patients with heart failure and low income have a high mortality risk. We examined whether lower survival among low-income patients with heart failure could be explained by different use of β -blockers, renin-angiotensin system inhibitors (RASi), and implanted devices compared with high-income patients.

METHODS AND RESULTS 

We linked Danish national registries to identify patients with new-onset heart failure between 2005 and 2016. A total of 18 308 patients was included in the main analysis. We collected information on medical treatment and device therapy after discharge. We investigated the remaining income disparity if everybody had the same probability of treatment as the high-income patients. We used causal mediation analysis to examine to what extent treatment differences mediate the association between income and 1-year mortality in strata defined by sex and cohabitation status. If low-income patients had the same probability of initiating β-blockers and RASi treatment as high-income patients, low-income men who lived alone would increase initiation of treatment by 12.4% (CI: 10.0% to 14.9%) and as a result reduce their absolute 1-year mortality by 1.0% (CI: -1.4% to -0.5%). If low-income patients had the same probability of not having breaks in medical treatment and getting device therapy, as high-income patients, low-income patients would increase the probability of not having breaks in treatment between 1.8% and 5.8% and increase the probability of getting device therapy between 1.0% and 3.8%, across strata of sex and cohabitation status.

CONCLUSION 

Lower rates of treatment initiation appear to mediate the poorer survival seen among patients with heart failure and low income, but only in males living alone.

Inequalities in heart failure care in a tax-financed universal healthcare system: a nationwide population-based cohort study

Aims

Data on socioeconomic‐related differences in heart failure (HF) care are sparse. Inequality in care may potentially contribute to a poor clinical outcome. We examined socioeconomic‐related differences in quality of HF care among patients with incident HF with reduced ejection fraction (EF) (HFrEF).

Methods and results

We conducted a nationwide population‐based cohort study among patients with HFrEF (EF ≤40%) registered from January 2008 to October 2015 in the Danish Heart Failure Registry, a nationwide registry of patients with a first‐time primary HF diagnosis. Associations between individual‐level socioeconomic factors (cohabitation status, education, and family income) and the quality of HF care defined by six guideline‐recommended process performance measures [New York Heart Association (NYHA) classification, treatment with angiotensin‐converting‐enzyme inhibitors (ACEI)/angiotensin receptor blockers (ARB), beta‐blockers and mineralocorticoid receptor antagonists, exercise training, and patient education] were assessed using multiple imputation and multivariable logistic regression controlling for potential confounders. Among 17 122 HFrEF patients included, 15 290 patients had data on all six process performance measures. Living alone was associated with lower odds of NYHA classification [adjusted OR (aOR) 0.81; 95% confidence interval (CI): 0.72–0.90], prescription of ACEI/ARB (aOR 0.76; 95% CI: 0.68–0.88) and beta‐blockers (aOR 0.84; 95% CI: 0.76–0.93), referral to exercise training (aOR 0.75; 95% CI: 0.69–0.81), and patient education (aOR 0.73; 95% CI: 0.67–0.80). Compared with high‐level education, low‐level education was associated with lower odds of NYHA classification (aOR 0.93; 95% CI: 0.79–1.11), treatment with ACEI/ARB (aOR 0.99; 95% CI: 0.81–1.20) and beta‐blockers (aOR 0.93; 95% CI: 0.79–1.09), referral to exercise training (aOR 0.73; 95% CI: 0.65–0.82), and patient education (aOR 0.86, 95% CI: 0.75–0.98). An income in the lowest tertile was associated with lower odds of NYHA classification (aOR 0.67; 95% CI: 0.58–0.79), prescription of ACEI/ARB (aOR 0.80, 95% CI: 0.67–0.95) and beta‐blockers (aOR 0.88, 95% CI: 0.86–1.01), referral to exercise training (aOR 0.59, 95% CI: 0.53–0.64), and patient education (aOR 0.66; 95% CI: 0.59–0.74) compared with an income in the highest tertile. Overall, no systematic differences were seen when the analyses were stratified by sex and age groups.

Conclusions

Living alone, low‐level education, and income in the lowest tertile were associated with reduced use of recommended processes of HF care among Danish HFrEF patients with a first‐time primary HF diagnosis. Efforts are warranted to ensure guideline‐recommended HF care to all HFrEF patients, irrespective of socioeconomic background.

Rationale, design and baseline characteristics of the MyoVasc study: A prospective cohort study investigating development and progression of heart failure

Background

Heart failure (HF) is a poly-aetiological syndrome with large heterogeneity regarding clinical presentation, pathophysiology, clinical outcome and response to therapy. The MyoVasc study (NCT04064450) is an epidemiological cohort study investigating the development and progression of HF.

Methods

The primary objective of the study is (a) to improve the understanding of the pathomechanisms of HF across the full spectrum of clinical presentation, (b) to investigate the current clinical classifications of HF, and (c) to identify and characterize homogeneous subgroups regarding disease development using a systems-oriented approach. Worsening of HF, that is, the composite of transition from asymptomatic to symptomatic HF, hospitalization due to HF, or cardiac death, was defined as the primary endpoint of the study. During a six-year follow-up period, all study participants receive a highly standardized, biannual five-hour examination in a dedicated study centre, including detailed cardiovascular phenotyping and biobanking of various biomaterials. Annual follow-up examinations are conducted by computer-assisted telephone interviews recording comprehensively the participants´ health status, including subsequent validation and adjudication of adverse events.

Results

In total, 3289 study participants (age range: 35 to 84 years; female sex: 36.8%) including the full range of HF stages were enrolled from 2013 to 2018. Approximately half of the subjects (n=1741) presented at baseline with symptomatic HF (i.e. HF stage C/D). Among these, HF with preserved ejection fraction was the most frequent phenotype.

Conclusions

By providing a large-scale, multi-dimensional biodatabase with sequential, comprehensive medical-technical (sub)clinical phenotyping and multi-omics characterization (i.e. genome, transcriptome, proteome, lipidome, metabolome and exposome), the MyoVasc study will help to advance our knowledge about the heterogeneous HF syndrome by a systems-oriented biomedicine approach.

Trial registration

ClinicalTrials.gov; NCT04064450.