Objectives: To examine ultraorphan drugs in terms of incremental health, costs, and cost-effectiveness compared with more prevalent disease drugs.
Methods: We identified Food and Drug Administration drug approvals from 1999 to 2019. For drugs approved for multiple indications, we considered each drug-indication pair separately. Utilizing Food and Drug Administration's orphan drug designation and US disease prevalence, we categorized drug-indication pairs as: ultraorphan (<10 000 patients), "other" orphan (≥10 000 and <200 000), and nonorphan (≥200 000). We searched the PubMed database for cost-effectiveness analyses and comparative effectiveness studies. We excluded manufacturer-funded studies. We extracted estimates of incremental health gains in terms of quality-adjusted life-years (QALYs) and incremental costs associated with drug-indication pairs compared with the standard of care at the time of their approval. We compared QALY gains, added costs, and incremental cost-effectiveness ratios (ICERs) using the Kruskal-Wallis, Mann-Whitney U (MWU), and Kolmogorov-Smirnov (KS) tests.
Results: Median incremental QALYs, costs, and ICERs differed across nonorphan, "other" orphan, and ultraorphan categories (Kruskal-Wallis P < .01). Compared with nonorphan drugs, ultraorphan drugs had larger QALY gains (0.700 vs 0.050, MWU P < .01, KS P < .01), larger costs ($172 231 vs $3360, MWU P < .01, KS P < .01), and larger ICERs ($1 216 184/QALY vs $114 061/QALY, MWU P < .01, KS P <.01). Compared with "other" orphan drugs, ultraorphan drugs had larger QALY gains (0.700 vs 0.310, MWU P =.65, KS P =.32), larger costs ($172 231 vs $69 308, MWU P = .03, KS P = .03), and larger ICERs ($1 216 184/QALY vs $223 472/QALY, MWU P <.01, KS P <.01).
Conclusions: Novel ultraorphan drugs typically offer larger incremental health gains than drugs for more prevalent diseases, but because of their substantial added costs, are typically less cost-effective.
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http://dx.doi.org/10.1016/j.jval.2024.07.005 | DOI Listing |
Viruses
December 2024
Department of Biomedical Sciences, University of Sassari, 07100 Sassari, Italy.
Neglected tropical diseases (NTDs) represent a group of chronic and debilitating infections that affect more than one billion people, predominantly in low-income communities with limited health infrastructure. This paper analyzes the factors that perpetuate the burden of NTDs, highlighting how poor health infrastructure, unfavorable socioeconomic conditions and lack of therapeutic resources exacerbate their impact. The effectiveness of current interventions, such as mass drug administration (MDA) programs and improved sanitation, in reducing disease prevalence is examined.
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December 2024
Department of Biomedical Engineering, School of Engineering Sciences, College of Basic & Applied Sciences, University of Ghana, Legon, Accra P.O. Box LG 77, Ghana.
: Pteridine reductase 1 (PTR1) has been one of the prime targets for discovering novel antileishmanial therapeutics in the fight against Leishmaniasis. This enzyme catalyzes the NADPH-dependent reduction of pterins to their tetrahydro forms. While chemotherapy remains the primary treatment, its effectiveness is constrained by drug resistance, unfavorable side effects, and substantial associated costs.
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January 2025
School of Mechanical and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.
Silicon carbide (SiC) metal oxide semiconductor field-effect transistors (MOSFETs) are a future trend in traction inverters in electric vehicles (EVs), and their thermal safety is crucial. Temperature-sensitive electrical parameters' (TSEPs) indirect detection normally requires additional circuits, which can interfere with the system and increase costs, thereby limiting applications. Therefore, there is still a lack of cost-effective and sensorless thermal monitoring techniques.
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January 2025
Free-Space Optical Communication Technology Research Center, Harbin Institute of Technology, Harbin 150001, China.
To achieve real-time deep learning wavefront sensing (DLWFS) of dynamic random wavefront distortions induced by atmospheric turbulence, this study proposes an enhanced wavefront sensing neural network (WFSNet) based on convolutional neural networks (CNN). We introduce a novel multi-objective neural architecture search (MNAS) method designed to attain Pareto optimality in terms of error and floating-point operations (FLOPs) for the WFSNet. Utilizing EfficientNet-B0 prototypes, we propose a WFSNet with enhanced neural architecture which significantly reduces computational costs by 80% while improving wavefront sensing accuracy by 22%.
View Article and Find Full Text PDFDiagnostics (Basel)
January 2025
Genomic Medicine Laboratory UILDM, IRCCS Santa Lucia Foundation, 00179 Rome, Italy.
: Centralizing genetic sequencing in specialized facilities is pivotal for reducing the costs associated with diagnostic testing. These centers must be able to verify data quality and ensure sample integrity. This study aims at developing a protocol for tracking NGS-analyzed samples to prevent errors and mix-ups, ensuring proper quality control, accuracy, and reliability in genetic testing procedures.
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