The development of a spallation neutron source with a mercury target will lead to the production of rare radionuclides. The dose coefficients for many of these radionuclides have not yet been published. A collaboration of universities and national labs has taken on the task of calculating dose coefficients for the rare radionuclides using the software package DCAL. The working group developed a procedure for calculating dose coefficients and a quality assurance (QA) program to verify the calculations completed. The first portion of this QA program was to verify that each participating group could independently reproduce the dose coefficients for a known set of radionuclides. The second effort was to divide the group of rare radionuclides among the independent participants in a manner that assured that each radionuclide would be redundantly and independently calculated, and the results subsequently be submitted for publication in a separate manuscript. The final aspect of this program was to resolve any discrepancies arising among the participants as a group. The output of the various software programs for six QA radionuclides, 144Nd, 201Au, 50V, 61Co, 41Ar, and 38S were compared among all members of the working group. Initially, a few differences in outputs were identified. This exercise identified weaknesses in the procedure, which has since been revised. After the revisions, dose coefficients were calculated and compared to published dose coefficients with good agreement. The present efforts involve generating dose coefficients for the rare radionuclides anticipated to be produced from the spallation neutron source should a mercury target be employed.
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http://dx.doi.org/10.1097/01.hp.0000176545.97510.66 | DOI Listing |
Drug Des Devel Ther
January 2025
Department of Hematology, Jining NO. 1 People's Hospital, Jining, 272000, People's Republic of China.
Purpose: Mitoxantrone (MTX) is largely restricted in clinical usage due to its significant cardiotoxicity. Multiple studies have shown that an imbalance in the gut-heart axis plays an important role in the development of cardiovascular disease (CVD). We aim to explore the possible correlations between gut microbiota (GM) compositions and cardiometabolic (CM) disorder in MTX-triggered cardiotoxicity mice.
View Article and Find Full Text PDFJ Vet Diagn Invest
January 2025
Departments of Anatomy, Physiology, and Pharmacology, College of Veterinary Medicine, Auburn University, Auburn, AL, USA.
Phenobarbital is a common antiseizure medication that has a relatively narrow therapeutic window. Therapeutic drug monitoring (TDM) is a helpful tool to guide dose adjustments for phenobarbital and avoid its toxicity. We investigated the agreement among 3 methods of quantifying phenobarbital in canine plasma: high-performance liquid chromatography (HPLC), point-of-care (POC) testing, and the FDA-approved immunoassay analyzer.
View Article and Find Full Text PDFAnn Emerg Med
January 2025
Division of Medical Toxicology, University of Pittsburgh School of Medicine, Pittsburgh, PA.
Study Objective: The osmol gap can help detect and manage those with toxic alcohol exposure, and it is altered by all alcohols including ethanol. The optimal correction for ethanol that would allow accurate detection of an alternative alcohol is unclear.
Methods: We conducted a prospective cohort study to assess baseline variations in osmol gap, and then to assess the validity of 2 commonly used coefficients (correction factors) for ethanol.
Pituitary
January 2025
Departments of Endocrinology, Diabetology and Metabolism, University Hospital Basel, Petersgraben 4, 4031, Basel, Switzerland.
Background: Arginine infusion stimulates copeptin secretion, a surrogate marker of arginine vasopressin (AVP), thereby serving as a diagnostic test in the differential diagnosis of suspected AVP deficiency (AVP-D). Yet, the precise mechanism underlying the stimulatory effect of arginine on the vasopressinergic system remains elusive. Arginine plays a significant role in the urea cycle and increases the production of urea.
View Article and Find Full Text PDFJ Am Med Inform Assoc
January 2025
Department of Cardiology, Royal North Shore Hospital, Sydney, NSW, Australia.
Objective: We aimed to develop a highly interpretable and effective, machine-learning based risk prediction algorithm to predict in-hospital mortality, intubation and adverse cardiovascular events in patients hospitalised with COVID-19 in Australia (AUS-COVID Score).
Materials And Methods: This prospective study across 21 hospitals included 1714 consecutive patients aged ≥ 18 in their index hospitalization with COVID-19. The dataset was separated into training (80%) and test sets (20%).
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