In the past decade, our understanding of heart failure pathophysiology has advanced significantly, resulting in the development of new medications such as angiotensin-neprilysin inhibitors, sodium-glucose cotransporter-2 inhibitors and oral soluble guanylate cyclase stimulators. Backed by positive findings from large randomized controlled trials, recommendations for their use were recently included in the 2022 AHA/ACC/HFSA guidelines and 2023 ESC guidelines for management of heart failure. Promising drugs for future heart failure treatment include agents that modulate the neurohormonal system, vasodilators, anti-inflammatory drugs, mitotropes, which improve deranged energy metabolism of the failing heart, and myotropes, which increase cardiac contractility by affecting cardiac sarcomere function.
View Article and Find Full Text PDFBackground: A polypill containing all 4 classes of guideline-directed medical therapy for heart failure with reduced ejection fraction (HFrEF) has been proposed to change the heart failure treatment paradigm. The acceptability, appropriateness, and feasibility of a HFrEF polypill-based strategy are unknown. The purpose of this study was to elicit patients' and providers' priorities in the design of HFrEF polypills.
View Article and Find Full Text PDFHeart failure with preserved ejection fraction (HFpEF) accounts for nearly half of all heart failure cases and has a prevalence that is expected to rise with the growing ageing population. HFpEF is associated with significant morbidity and mortality. Specific HFpEF risk factors include age, diabetes, hypertension, obesity and atrial fibrillation.
View Article and Find Full Text PDFBackground: High out-of-pocket costs can impede access to guideline-directed cardiovascular drugs. The 2022 Inflation Reduction Act (IRA) will eliminate catastrophic coinsurance and cap annual out-of-pocket costs for Medicare Part D patients by 2025.
Objectives: This study sought to estimate the IRA's impact on out-of-pocket costs for Part D beneficiaries with cardiovascular disease.
Pharmacists must be able to navigate prescription drug coverages to help providers and patients reduce out-of-pocket costs. Traditionally, curricula on drug insurance benefits rely on lectures and lack a practicum that offers students hands-on experience with determining formulary and cost-sharing information. An activity for pharmacy students to update a free public website that summarizes formularies and copayment requirements across major insurers was piloted.
View Article and Find Full Text PDFHawaii J Health Soc Welf
November 2021
Reducing Coronavirus disease 2019 (COVID-19) transmission relies on people quarantining after exposure to COVID-19 or if they experience COVID-19 symptoms, and isolating from others if COVID-19 positive. Quarantine and isolation last 10 to 14 days and can be state-mandated; however, the level of compliance is unknown. The University of Hawai'i Department of Family Medicine clinic called patients instructed by our physicians to quarantine for exposure risk or symptoms of potential COVID-19 infection between March 15, 2020, and April 15, 2020.
View Article and Find Full Text PDFBackground: Marketing payments from the pharmaceutical industry to physicians have come under scrutiny due to their potential to influence clinical decision-making. Two proprotein convertase subtilisin/kexin type 9 inhibitors (PCSK9i) were approved by the US Food and Drug Administration in 2015 for reducing low-density lipoprotein cholesterol in high-risk patients, but their initial uptake was limited due to their high-cost and stringent prior authorization requirements. We sought to investigate the association between industry marketing and early adoption of PCSK9i among US physicians.
View Article and Find Full Text PDFThis study examines cost sharing for novel second-line diabetes treatment agents under Medicare Part D.
View Article and Find Full Text PDFThis study examines the insurance coverage and out-of-pocket costs to Medicare beneficiaries for the angiotensin receptor–neprilysin inhibitor sacubitril/valsartan.
View Article and Find Full Text PDFImportance: Accurate prediction of outcomes among patients in intensive care units (ICUs) is important for clinical research and monitoring care quality. Most existing prediction models do not take full advantage of the electronic health record, using only the single worst value of laboratory tests and vital signs and largely ignoring information present in free-text notes. Whether capturing more of the available data and applying machine learning and natural language processing (NLP) can improve and automate the prediction of outcomes among patients in the ICU remains unknown.
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