The Price of Progress: Cost, Access, and Adoption of Novel Cardiovascular Drugs in Clinical Practice

Challenges in Promoting Health Equity and Reducing Disparities in Access Across New and Established Technologies

Medical innovations and novel technologies stand to improve the return on high levels of health spending in developed countries, particularly in cardiovascular care. However, cardiac innovations also disrupt the landscape of accessing care, potentially creating disparities in who has access to novel and extant technologies. These disparities might disproportionately harm vulnerable groups, including those whose nonmedical conditions-including social determinants of health-inhibit timely access to diagnoses, referrals, and interventions. We first document the barriers to access novel and existing technologies in isolation, then proceed to document their interaction. Novel cardiac technologies might affect existing available services, and change the landscape of care for vulnerable patient groups who seek access to cardiology services. There is a clear need to identify and heed lessons learned from the dissemination of past innovations in the development, funding, and dissemination of future medical technologies to promote equitable access to cardiovascular care. We conclude by highlighting and synthesizing several policy implications from recent literature.

Atherosclerosis evaluation and cardiovascular risk estimation using coronary computed tomography angiography

Clinical risk scores based on traditional risk factors of atherosclerosis correlate imprecisely to an individual's complex pathophysiological predisposition to atherosclerosis and provide limited accuracy for predicting major adverse cardiovascular events (MACE). Over the past two decades, computed tomography scanners and techniques for coronary computed tomography angiography (CCTA) analysis have substantially improved, enabling more precise atherosclerotic plaque quantification and characterization. The accuracy of CCTA for quantifying stenosis and atherosclerosis has been validated in numerous multicentre studies and has shown consistent incremental prognostic value for MACE over the clinical risk spectrum in different populations. Serial CCTA studies have advanced our understanding of vascular biology and atherosclerotic disease progression. The direct disease visualization of CCTA has the potential to be used synergistically with indirect markers of risk to significantly improve prevention of MACE, pending large-scale randomized evaluation.

Proteomics and lipidomics in atherosclerotic cardiovascular disease risk prediction

Given the limited accuracy of clinically used risk scores such as the Systematic COronary Risk Evaluation 2 system and the Second Manifestations of ARTerial disease 2 risk scores, novel risk algorithms determining an individual's susceptibility of future incident or recurrent atherosclerotic cardiovascular disease (ASCVD) risk are urgently needed. Due to major improvements in assay techniques, multimarker proteomic and lipidomic panels hold the promise to be reliably assessed in a high-throughput routine. Novel machine learning-based approaches have facilitated the use of this high-dimensional data resulting from these analyses for ASCVD risk prediction. More than a dozen of large-scale retrospective studies using different sets of biomarkers and different statistical methods have consistently demonstrated the additive prognostic value of these panels over traditionally used clinical risk scores. Prospective studies are needed to determine the clinical utility of a biomarker panel in clinical ASCVD risk stratification. When combined with the genetic predisposition captured with polygenic risk scores and the actual ASCVD phenotype observed with coronary artery imaging, proteomics and lipidomics can advance understanding of the complex multifactorial causes underlying an individual's ASCVD risk.

Literature Review on Health Emigration in Rare Diseases-A Machine Learning Perspective

The article deals with one of the effects of health inequalities and gaps in access to treatments for rare diseases, namely health-driven emigration. The purpose of the paper is to systematize knowledge about the phenomenon of health emigration observed among families affected by rare diseases, for which reimbursed treatment is available, but only in selected countries. The topic proved to be niche; the issue of "health emigration in rare diseases" is an area for exploration. Therefore, the further analysis used text mining and machine learning methods based on a database selected based on keywords related to this issue. The results made it possible to systematize the guesses made by researchers in management and economic fields, to identify the most common keywords and thematic clusters around the perspective of the patient, drug manufacturer and treatment reimbursement decision-maker, and the perspective integrating all the others. Since the topic of health emigration was not directly addressed in the selected sources, the authors attempted to define the related concepts and discussed the importance of this phenomenon in managing the support system in rare diseases. Thus, they indicated directions for further research in this area.

Medicare Coverage and Out-of-Pocket Costs of Quadruple Drug Therapy for Heart Failure

BACKGROUND

Beta-blockers, angiotensin receptor-neprilysin inhibitor (ARNI), mineralocorticoid receptor antagonists, and sodium-glucose cotransporter-2 inhibitors (SGLT2i), known as quadruple therapy, are recommended for patients with heart failure with reduced ejection fraction (HFrEF).

OBJECTIVES

This study sought to determine Medicare coverage and out-of-pocket (OOP) costs of quadruple therapy and regimens excluding ARNI or SGLT2i.

METHODS

This study assessed cost sharing, prior authorization, and step therapy in all 4,068 Medicare prescription drug plans in 2020. OOP costs were determined during the standard coverage period and annually based on the Medicare Part D standard benefit, inclusive of deductible, standard coverage, coverage gap, and catastrophic coverage.

RESULTS

Tier ≥3 cost sharing was required by 99.1% of plans for ARNI and 98.5% for at least 1 SGLT2i. Only ARNI required prior authorization (24.3% of plans), and step therapy was required only for SGLT2is (5.4%) and eplerenone (0.8%). The median 30-day standard coverage OOP cost of quadruple therapy was $94 (IQR: $84-$100), including $47 (IQR: $40-$47) for ARNI and $45 (IQR: $40-$47) for SGLT2i. The median annual OOP cost of quadruple therapy was $2,217 (IQR: $1,956-$2,579) compared with $1,319 (IQR: $1,067-$1,675) when excluding SGLT2i and $1,322 (IQR: $1,025-$1,588) when including SGLT2i and substituting an angiotensin-converting enzyme inhibitor or angiotensin receptor blocker for ARNI. The median 30-day OOP cost of generic regimens was $3 (IQR: $0-$9).

CONCLUSIONS

Medicare drug plans restrict coverage of quadruple therapy through cost sharing, with OOP costs that are substantially higher than generic regimens. Quadruple therapy may be unaffordable for many Medicare patients with HFrEF unless medication prices and cost sharing are reduced.