Patient profiles on outcomes in patients hospitalized for heart failure: a 10-year history of the Malaysian population

Cost-Effectiveness Analysis of Angiotensin Receptor Neprilysin Inhibitor Compared With Angiotensin-Converting Enzyme Inhibitor Among Patients With Heart Failure With Reduced Ejection Fraction in Malaysia

OBJECTIVES

This study compared the costs and effectiveness of angiotensin receptor neprilysin inhibitor (ARNI) with angiotensin-converting enzyme inhibitor (ACEI) for the heart failure with reduced ejection fraction population from the Malaysian Ministry of Health's perspective.

METHODS

A 3-state Markov model, with a monthly cycle, was constructed to estimate the lifetime healthcare costs, quality-adjusted life year (QALY), and incremental cost-effectiveness ratio (ICER) of ARNI and ACEI. The monthly baseline risks for all-cause mortality and heart failure (HF) hospitalization were estimated from the PARADIGM-HF trial and age-adjusted to the Malaysian population. The treatment effects were obtained from the PARADIGM-HF trial. All-cause mortality risks from hospitalization, utility values, and costs were derived from local studies. All costs were adjusted to 2023. The ICER was compared with Malaysian Ringgit (RM) 55 426 per QALY (one gross domestic product per capita).

RESULTS

Despite ARNI being more expensive compared with ACEI, it gained more QALYs, resulting in an ICER of RM46 498 per QALY. One-way sensitivity analyses found that the key model drivers were the relative treatment effects on cardiovascular mortality, duration of treatment effects, and time horizon. Probabilistic sensitivity analysis estimated that ARNI is 66% cost-effective at the cost-effectiveness threshold of RM55 426 per QALY. Subgroup analysis showed that ICER increased with age. Scenario analysis demonstrated that initiation of ARNI alongside sodium-glucose cotransporter-2 inhibitor (SGLT-2i) produces more favorable ICER and ARNI without SGLT-2i.

CONCLUSIONS

At the cost-effectiveness threshold of RM55 426 per QALY, ARNI is cost-effective compared with ACEI for the heart failure with reduced ejection fraction population. Expanding patient access to ARNI is likely to improve health outcomes cost-effectively.

Reassessing heart failure therapy in Thailand: Patient insights and treatment outcomes from the Thai heart failure registry

BACKGROUND

This research analyzed the demographics, management, and outcomes of patients with heart failure (HF) in Thailand.

METHODS

The Thai Heart Failure Registry prospectively enrolled patients diagnosed with HF from 36 hospitals in Thailand. Follow-up data were recorded at 6, 12, 18, and 24 months. This study primarily focused on two outcomes: mortality and HF-related hospitalizations.

RESULTS

The study included 2639 patients aged at least 18. Their mean age was 59.2 ± 14.5 years, and most were male (68.4%). Patients were classified as having HF with reduced ejection fraction (HFrEF, 80.7%), HF with preserved ejection fraction (HFpEF, 9.0%), or HF with mildly reduced ejection fraction (HFmrEF, 10.3%). Guideline-directed medical therapy utilization varied. Beta-blockers had the highest usage (93.2%), followed by mineralocorticoid receptor antagonists (65.7%), angiotensin-converting enzyme inhibitors (39.3%), angiotensin receptor blockers (28.2%), angiotensin receptor-neprilysin inhibitors (16.1%), and sodium-glucose cotransporter-2 inhibitors (8.0%). The study monitored a composite of mortality and HF incidents, revealing incidence rates of 11.74, 12.50, and 8.93 per 100 person-years for the overall, HFrEF, and HFmrEF/HFpEF populations, respectively.

CONCLUSIONS

Despite high guideline-directed medical therapy adherence, the Thai Heart Failure Registry data revealed high mortality and recurrent HF rates. These findings underscore limitations in current HF treatment efficacy. The results indicate the need for further investigation and improvements of HF management to enhance patient outcomes.

Examining health-related quality of life in ambulatory adult patients with chronic heart failure: insights from Malaysia using EQ-5D-5L

PURPOSE

Health-related quality-of-life (HRQoL) data for the chronic heart failure (HF) population in Malaysia are lacking. Using EQ-5D-5L, this study intended to describe their HRQoL, identify predictors of worse HRQoL, and derive EQ-5D-5L index scores for use in economic evaluations.

METHODS

A cross-sectional survey was conducted between April and September 2023 to collect EQ-5D-5L, sociodemographic, and clinical data from outpatients with HF across seven public specialist hospitals in Malaysia. Multivariable logistic and linear regression models were used to identify independent predictors of reported problems in the EQ-5D-5L dimensions, and predictors of index scores and EQ-VAS, respectively.

RESULTS

EQ-5D-5L data from 424 outpatients of multi-ethnic background (mean age: 57.1 years, 23.8% female, mean left ventricular ejection fraction: 35.7%, 89.7% NYHA class I-II) were collected using either Malay, English, or Chinese, achieving a 99.8% completion rate. Nearly half of the respondents reported issues in the Mobility, Usual Activities, and Pain/Discomfort dimensions. Mean EQ-5D-5L index was 0.820, lower than the general population, and significantly lower with NYHA class III-IV (0.747) versus NYHA class I (0.846) and NYHA class II (0.805). Besides NYHA class, independent predictors of worse HRQoL included Indian ethnicity, living alone, lower education, unemployment due to ill-health, and proxy-reported HRQoL, largely aligning with existing literature.

CONCLUSION

Community-dwelling Malaysians with HF reported poorer HRQoL compared to the general population. The observed disparities in HRQoL among HF patients may be linked to specific patient characteristics, suggesting potential areas for targeted interventions. HRQoL assessment using EQ-5D-5L proves feasible and should be considered for routine implementation in local clinics.

Abdul Kader MA, Loch A, Mahendran K, Ramli AW, Ong TK, Mohd Amin NH, Lee CY, Che Hassan HH, Zainal Abidin SK, Liew HB, Ho WS, Mohd Ghazi A. Characteristics of patients admitted with heart failure: Insights from the first Malaysian Heart Failure Registry

AIMS

Heart failure (HF) is a growing health problem, yet there are limited data on patients with HF in Malaysia. The Malaysian Heart Failure (MY-HF) Registry aims to gain insights into the epidemiology, aetiology, management, and outcome of Malaysian patients with HF and identify areas for improvement within the national HF services.

METHODS AND RESULTS

The MY-HF Registry is a 3-year prospective, observational study comprising 2717 Malaysian patients admitted for acute HF. We report the description of baseline data at admission and outcomes of index hospitalization of these patients. The mean age was 60.2 ± 13.6 years, 66.8% were male, and 34.3% had de novo HF. Collectively, 55.7% of patients presented with New York Heart Association (NYHA) Class III or IV; ischaemic heart disease was the most frequent aetiology (63.2%). Most admissions (87.3%) occurred via the emergency department, with 13.7% of patients requiring intensive care, and of these, 21.8% needed intubation. The proportion of patients receiving guideline-directed medical therapy increased at discharge (84.2% vs. 93.6%). The median length of stay (LOS) was 5 days, and in-hospital mortality was 2.9%. Predictors of LOS and/or in-hospital mortality were age, NYHA class, estimated glomerular filtration rate, and comorbid anaemia. LOS and in-hospital mortality were similar regardless of ejection fraction.

CONCLUSIONS

The MY-HF Registry showed that the HF population in Malaysia is younger, predominantly male, and ischaemic-driven and has good prospects with hospitalization for optimization of treatment. These findings suggest a need to reassess current clinical practice and guide resource allocation to improve patient outcomes.

Predicting incident heart failure from population-based nationwide electronic health records: protocol for a model development and validation study

INTRODUCTION

Heart failure (HF) is increasingly common and associated with excess morbidity, mortality, and healthcare costs. Treatment of HF can alter the disease trajectory and reduce clinical events in HF. However, many cases of HF remain undetected until presentation with more advanced symptoms, often requiring hospitalisation. Predicting incident HF is challenging and statistical models are limited by performance and scalability in routine clinical practice. An HF prediction model implementable in nationwide electronic health records (EHRs) could enable targeted diagnostics to enable earlier identification of HF.

METHODS AND ANALYSIS

We will investigate a range of development techniques (including logistic regression and supervised machine learning methods) on routinely collected primary care EHRs to predict risk of new-onset HF over 1, 5 and 10 years prediction horizons. The Clinical Practice Research Datalink (CPRD)-GOLD dataset will be used for derivation (training and testing) and the CPRD-AURUM dataset for external validation. Both comprise large cohorts of patients, representative of the population of England in terms of age, sex and ethnicity. Primary care records are linked at patient level to secondary care and mortality data. The performance of the prediction model will be assessed by discrimination, calibration and clinical utility. We will only use variables routinely accessible in primary care.

ETHICS AND DISSEMINATION

Permissions for CPRD-GOLD and CPRD-AURUM datasets were obtained from CPRD (ref no: 21_000324). The CPRD ethical approval committee approved the study. The results will be submitted as a research paper for publication to a peer-reviewed journal and presented at peer-reviewed conferences.

TRIAL REGISTRATION DETAILS

The study was registered on Clinical Trials.gov (NCT05756127). A systematic review for the project was registered on PROSPERO (registration number: CRD42022380892).