Cost-of-disease of Heart Failure in Turkey: A Delphi Panel-based Analysis of Direct and Indirect Costs

Current barriers and recommendations on the diagnosis of transthyretin amyloid cardiomyopathy: a Delphi study

Objectives

This study has been conducted to investigate the non-invasive diagnostic journey of patients with a transthyretin amyloid cardiomyopathy (aTTR-CM) in Turkey, identify the challenges and uncertainties encountered on the path to diagnosis from the perspectives of expert physicians, and develop recommendations that can be applied in such cases.

Methods

This study employed a three-round modified Delphi method and included 10 cardiologists and five nuclear medicine specialists. Two hematologists also shared their expert opinions on the survey results related to hematological tests during a final face-to-face discussion. A consensus was reached when 80% or more of the panel members marked the "agree/strongly agree" or "disagree/strongly disagree" option.

Results

The panelists unanimously agreed that the aTTR-CM diagnosis could be established through scintigraphy (using either 99mTc-PYP, 99mTc-DPD, or 99mTc-HMPD) in a patient with suspected cardiac amyloidosis (CA) without a further investigation if AL amyloidosis is ruled out (by sFLC, SPIE and UPIE). In addition, scintigraphy imaging performed by SPECT or SPECT-CT should reveal a myocardial uptake of Grade ≥2 with a heart-to-contralateral (H/CL) ratio of ≥1.5. The cardiology panelists recommended using cardiovascular magnetic resonance (CMR) and a detailed echocardiographic scoring as a last resort before considering an endomyocardial biopsy in patients with suspected CA whose scintigraphy results were discordant/inconclusive or negative but still carried a high clinical suspicion of aTTR-CM.

Conclusion

The diagnostic approach for aTTR-CM should be customized based on the availability of diagnostic tools/methods in each expert clinic to achieve a timely and definitive diagnosis.

Development and validation of a novel combinatorial nomogram model to predict in-hospital deaths in heart failure patients

BACKGROUND

The purpose of this study was to develop a Nomogram model to identify the risk of all-cause mortality during hospitalization in patients with heart failure (HF).

METHODS

HF patients who had been registered in the Medical Information Mart for Intensive Care (MIMIC) III and IV databases were included. The primary outcome was the occurrence of all-cause mortality during hospitalization. Two Logistic Regression models (LR1 and LR2) were developed to predict in-hospital death for HF patients from the MIMIC-IV database. The MIMIC-III database were used for model validation. The area under the receiver operating characteristic curve (AUC) was used to compare the discrimination of each model. Calibration curve was used to assess the fit of each developed models. Decision curve analysis (DCA) was used to estimate the net benefit of the predictive model.

RESULTS

A total of 16,908 HF patients were finally enrolled through screening, of whom 2,283 (13.5%) presented with in-hospital death. Totally, 48 variables were included and analyzed in the univariate and multifactorial regression analysis. The AUCs for the LR1 and LR2 models in the test cohort were 0.751 (95% CI: 0.735∼0.767) and 0.766 (95% CI: 0.751-0.781), respectively. Both LR models performed well in the calibration curve and DCA process. Nomogram and online risk assessment system were used as visualization of predictive models.

CONCLUSION

A new risk prediction tool and an online risk assessment system were developed to predict mortality in HF patients, which performed well and might be used to guide clinical practice.

Exploring Regional Disparities in Heart Failure Epidemiology and Outcomes: A Comprehensive Study Across Geographical Regions in Türkiye

Background

Heart failure (HF) is a common condition that affects 1-3% of the general population. Its prevalence exhibits notable international and intranational disparities, partly explained by socioeconomic status, religion, ethnic diversity, and geographic factors. A comprehensive understanding of the epidemiological symptoms of HF in different regions of Türkiye has yet to be revealed.

Aims

To examine epidemiological data from 2016 to 2022, focusing on crucial patient characteristics and geographical regions, to determine the incidence and prevalence of HF in Türkiye across seven diverse geographical regions.

Study Design

A nationwide population-based retrospective cohort study.

Methods

The comprehensive National Electronic Database of the Turkish Ministry of Health was used in this study to obtain data that covers the whole Turkish population from January 1, 2016, to December 31, 2022. The International Classification of Diseases-10 (ICD-10) codes were used to identify adults with HF (n = 2,701,099) and associated comorbidities. Türkiye is divided into seven geographically distinct regions. Epidemiological characteristics and survival data of these regions were analyzed separately. All-cause mortality was set as the primary outcome.

Results

In , the total estimated prevalence of adult patients with HF is 2.939%, ranging from 2.442% in Southeastern Anatolia to 4.382% in the Black Sea Region. Except for the Eastern Anatolia Region, the three most often reported comorbidities were hypertension, dyslipidemia, and anxiety disorders. The rates of prescribing guideline-directed medical therapy (GDMT) for HF and other medications varied significantly. GDMT prescription rates were lowest in the Eastern Anatolia Region (82.6% for beta-blockers, 48.7% for RASi, 31.8% for mineralocorticoid receptor antagonists, and 9.4% for SGLT2i). The Mediterranean and Aegean regions had the highest median N-terminal brain natriuretic peptide (NT-proBNP) levels of 1,990,0 pg/ml (518.0-6,636,0) and 1,441,0 pg/ml (363.0-5,000,0), respectively. From 2016 to 2022, 915,897 (33.9%) of 2,701,099 patients died. The Eastern Anatolia Region had the lowest all-cause mortality rate of 26.5%, whereas the Black Sea Region had the highest all-cause mortality rate of 35.3%.

Conclusion

Our real-world analysis revealed geographic disparities in HF characteristics, such as decreased mortality in socioeconomically challenged regions. Higher stress susceptibility in developed regions may increase the likelihood of adverse outcomes.

Expert Recommendations to Bridge Gaps in Heart Failure Patient Support in the Middle East and Africa Region

Heart failure (HF) remains a serious health and socioeconomic problem in the Middle East and Africa (MEA). The age-standardized prevalence rate for HF in the MEA region is higher compared to countries in Eastern Europe, Latin America, and Southeast Asia. Also cardiovascular-related deaths remain high compared to their global counterparts. Moreover, in MEA, 66% of HF readmissions are elicited by potentially preventable factors, including delay in seeking medical attention, nonadherence to HF medication, suboptimal discharge planning, inadequate follow-up, and poor social support. Patient support in the form of activation, counseling, and caregiver education has been shown to improve outcomes in patients with HF. A multidisciplinary meeting with experts from different countries across the MEA region was convened to identify the current gaps and unmet needs for patient support for HF in the region. The panel provided insights into the real-world challenges in HF patient support and contributed strategic recommendations for optimizing HF care.

Epidemiology, Clinical Characteristics and Cause-specific Outcomes in Heart Failure with Preserved Ejection Fraction

Heart failure (HF) is a global pandemic affecting 64 million people worldwide. HF with preserved ejection fraction (HFpEF) has traditionally received less attention than its main counterpart, HF with reduced ejection fraction (HFrEF). The incidence and prevalence of HFpEF show geographic variation and are increasing over time, soon expected to surpass those of HFrEF. Morbidity and mortality rates of HFpEF are considerable, albeit lower than those of HFrEF. This review focuses on the burden of HFpEF, providing contemporary data on epidemiology, clinical characteristics and comorbidities, cause-specific outcomes, costs and pharmacotherapy.

Healthcare resource utilization and costs among patients with heart failure with preserved, mildly reduced, and reduced ejection fraction in Spain

AIMS

To describe healthcare resource utilization (HCRU) of patients with heart failure with preserved (HFpEF), mildly reduced (HFmrEF), and reduced ejection fraction (HFrEF) in Spain.  METHODS: Adults with ≥ 1 HF diagnosis and ≥ 1 year of continuous enrolment before the corresponding index date (1/January/2016) were identified through the BIG-PAC database. Rate per 100 person-years of all-cause and HF-related HCRU during the year after the index date were estimated using bootstrapping with replacement.

RESULTS

Twenty-one thousand two hundred ninety-seven patients were included, of whom 48.5% had HFrEF, 38.6% HFpEF and 4.2% HFmrEF, with the rest being of unknown EF. Mean age was 78.8 ± 11.8 years, 53.0% were men and 83.0% were in NYHA functional class II/III. At index, 67.3% of patients were taking renin angiotensin system inhibitors, 61.2% beta blockers, 23.4% aldosterone antagonists and 5.2% SGLT2 inhibitors. Rates of HF-related outpatient visits and hospitalization were 968.8 and 51.6 per 100 person-years, respectively. Overall, 31.23% of patients were hospitalized, mainly because of HF (87.88% of total hospitalizations); HF hospitalization length 21.06 ± 17.49 days (median 16; 25th, 75th percentile 9-27). HF hospitalizations were the main cost component: inpatient 73.64%, pharmacy 9.67%, outpatient 9.43%, and indirect cost 7.25%. Rates of all-cause and HF-related HCRU and healthcare cost were substantial across all HF subgroups, being higher among HFrEF compared to HFmrEF and HFpEF patients.

CONCLUSIONS

HCRU and cost associated with HF are high in Spain, HF hospitalizations being the main determinant. Medication cost represented only a small proportion of total costs, suggesting that an optimization of HF therapy may reduce HF burden.