Chronic heart failure - Impact of the condition on patients and the healthcare system in the Czech Republic: A retrospective cost-of-illness analysis

The annual economic burden incurred by heart failure patients in Vietnam: a retrospective analysis

Introduction

Heart failure (HF) is a chronic condition associated with substantial mortality and hospitalisation, resulting in costly inpatient visits. The healthcare systems of several countries, including Vietnam, experience considerable difficulty in dealing with the enormous fiscal burden presented by HF. This study aims to analyse the direct medical costs associated with HF inpatient treatment from the hospital perspective.

Materials and methods

This study retrospectively analysed the electronic medical records of patients diagnosed with HF from 2018 to 2021 at Military Hospital 175 in Vietnam. The sample consisted of 906 hospitalised patients (mean age: 71.2 ± 14.1 years). The financial impact of HF was assessed by examining the direct medical expenses incurred by the healthcare system, and the costs of pharmaceutical categories used in treatment were explored.

Results

The cumulative economic burden of HF from 2018 to 2021 was US$1,068,870, with annual costs ranging from US$201,670 to US$443,831. Health insurance covered 72.7% of these costs. Medications and infusions, and medical supplies accounted for the largest expenses, at 29.8% and 22.1%, respectively. The medication HF group accounted for 13.01% of these expenses, of which the costliest medications included nitrates (2.57%), angiotensin II receptor blockers (0.51%), ivabradine (0.39%), diuretics (0.24%), and mineralocorticoid receptor antagonists (0.23%). Comorbidities and the length of hospital stay significantly influenced annual treatment costs.

Conclusion

The study reveals that HF significantly impacts Vietnam's healthcare system and citizens, requiring a comprehensive understanding of its financial implications and efficient management of medical resources for those diagnosed. This study highlights the substantial economic burden of HF on Vietnam's healthcare system, with medication costs, particularly antithrombotic drugs, representing the largest expense. Most healthcare costs were covered by health insurance, and expenses were significantly influenced by comorbidity and length of hospital stay. These findings can inform healthcare policy, resource allocation and optimise management strategies in Vietnam.

Risk factors and health status among older adults in Europe: a socioeconomic analysis

The risk of developing a major non-communicable disease is critically affected by lifestyle choices. This study examined the consequences of factors that might predict a change in the self-rated health of older adults and aimed to assess their monetary costs. In particular, two predisposing risk factor moderators were studied: high blood pressure and high cholesterol. The effects of these on two serious adverse cardiovascular events - heart attack and stroke - were estimated. Using data from the Survey of Health, Aging and Retirement in Europe (SHARE) carried out in 2014, a two-stage procedure was applied as well as pairwise comparison. The results revealed the significant role of socioeconomic status in health outcomes. Behavioural risk factors were found to be significant predictors for heart attack and stroke. The findings support the claim that variables such as age, wealth and behavioural risk factors are additional predictors of a change in these two diseases. The monetary consequences can reach up to 12.8 thousand Euros for older adults per unit of predisposing risk factor. Since national health budgets are limited, health policies might be prioritized.

Identification of Health Expenditures Determinants: A Model to Manage the Economic Burden of Cardiovascular Disease

The purpose of this paper is to investigate the determinants influencing the costs of cardiovascular disease in the regional health service in Italy’s Apulia region from 2014 to 2016. Data for patients with acute myocardial infarction (AMI), heart failure (HF), and atrial fibrillation (AF) were collected from the hospital discharge registry. Generalized linear models (GLM), and generalized linear mixed models (GLMM) were used to identify the role of random effects in improving the model performance. The study was based on socio-demographic variables and disease-specific variables (diagnosis-related group, hospitalization type, hospital stay, surgery, and economic burden of the hospital discharge form). Firstly, both models indicated an increase in health costs in 2016, and lower spending values for women (p < 0.001) were shown. GLMM indicates a significant increase in health expenditure with increasing age (p < 0.001). Day-hospital has the lowest cost, surgery increases the cost, and AMI is the most expensive pathology, contrary to AF (p < 0.001). Secondly, AIC and BIC assume the lowest values for the GLMM model, indicating the random effects’ relevance in improving the model performance. This study is the first that considers real data to estimate the economic burden of CVD from the regional health service’s perspective. It appears significant for its ability to provide a large set of estimates of the economic burden of CVD, providing information to managers for health management and planning.

Differences in risk profiles and long-term outcomes in acute heart failure patients with preserved and reduced left ventricular ejection fraction in the Czech Republic: The AHEAD registry sub-analysis

BACKGROUND

The latest European heart failure guidelines define patients as those with reduced (HFrEF), mid-range, and preserved (HFpEF) left ventricular ejection fraction (LVEF; <40%, 40%-49%, and ≥50%, respectively). We investigated the causes of rehospitalizations/deaths in our institution's heart failure patients and focused on differences in the clinical presentation, risk profile, and long-term outcomes between the HFrEF and HFpEF groups in a real-life scenario.

METHODS AND RESULTS

We followed 1274 patients discharged from heart failure hospitalization in 2 centres. The mean patient age was 75.9 years, and men and women were represented equally. During the minimal follow-up of 2 years, 57% of patients were hospitalised for any cause, 24.9% for decompensated heart failure, and 43.3% for any cardiovascular cause. A total of 36.1% of patients died, either with prior (11.8%) or without prior (24.3%) heart failure rehospitalization. Heart failure was also the most frequent cause of cardiovascular hospitalization, followed by gastrointestinal problems, infections, and tumours for noncardiovascular hospitalizations. Patients with HFrEF had different baseline characteristics and risk profiles, experienced more hospitalizations for acute heart failure (28.6% vs 20.2%, P=0.012), and had higher cardiovascular mortality (82.4% vs 63.5%, P<0.001) when compared with HFpEF patients. Overall mortality and rehospitalization rates were similar.

CONCLUSION

Within 2 years, half of the patients died and/or were hospitalised for acute decompensation of heart failure, and only one-third of the patients survived without any hospitalization. HFrEF and HFpEF patients were confirmed to be different entities with diverse characteristics, risk profiles, and cardiovascular event rates.