The nitroglycerin sorptive properties of a polyvinyl chloride i.v. administration set were studied, and the role played by the admixture vehicle in this process was explored. Admixtures of nitroglycerin 0.4 mg/mL were prepared in sterile water for injection, 5% dextrose injection, Ringer's injection, and 0.25%, 0.9%, and 5% sodium chloride injection. Each admixture was divided into two 500-mL sterile glass containers, and flow through the administration set at 100 mL/hr was begun. Samples of effluent were collected at intervals beginning 10 minutes after the start of the infusion and ending at 180 minutes. Nitroglycerin depletion from solution and uptake by the set was determined by an ultraviolet spectrophotometric assay. Initially, the degree of nitroglycerin loss to the set was greatest for dextrose admixtures, intermediate for water admixtures, and least for sodium chloride admixtures. Losses of about 40% were observed during the first 10 minutes; between 15 and 20 minutes, the stated pattern of drug sorption was reversed, with sodium chloride admixtures now showing the greatest loss of nitroglycerin. The availability of nitroglycerin was an inverse function of increasing ionic strength during the three-hour observation period. Nitroglycerin availability in admixtures in contact with a polyvinyl chloride administration set was dependent on the ionic strength of the vehicle and the time points in the infusion period at which measurements were made.
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JBRA Assist Reprod
March 2025
IVI Panama, Ciudad de Panama, Panama.
Research Question: What are the trends and impact of new technologies on the effectiveness and safety of assisted reproductive technology (ART) performed in Latin America during 2021?
Design: This was a retrospective collection of cycle-based multinational data obtained from ART procedures performed by 204 accredited institutions in 16 countries.
Results: In total 127,351 initiated cycles resulted in 20,032 deliveries and 22,708 births. ART utilization showed great variability, from 623.
Sci Adv
March 2025
Department of Neurology, Johns Hopkins University, Baltimore, MD 21205, USA.
There is great interest in using genetically tractable organisms such as to gain insights into the regulation and function of sleep. However, sleep phenotyping in has largely relied on simple measures of locomotor inactivity. Here, we present FlyVISTA, a machine learning platform to perform deep phenotyping of sleep in flies.
View Article and Find Full Text PDFInt Ophthalmol
March 2025
Department of Medicine Surgical, Section of Ophthalmology, University of Perugia, S. Maria Della Misericordia Hospital, 06156, Perugia, Italy.
Purpose: To evaluate the occurrence of complications following intravitreal injections (IVIs) performed in an outpatient clean room (OCR) equipped with the mobile laminar airflow device (LAF) Operio.
Methods: This retrospective study analyzed the data of 10,016 IVIs performed in an OCR from April 2023 to November 2024. All information of each patient was registered, such as diagnosis, drug injected and any occurring complication or adverse events such as endophthalmitis, intraocular inflammation, rhegmatogenous retinal detachment (RRD), vitreous hemorrhages and elevated intraocular pressure.
Front Immunol
March 2025
DKMS Group, Tübingen, Germany.
Introduction: In hematopoietic stem cell transplantation, optimal results are achieved when donors and patients are matched regarding their human leukocyte antigen (HLA) genes. Population-specific HLA allele and haplotype frequency distributions determine the probabilities to find matched donors in a stem cell donor registry of given size and ethnic composition.
Methods: To evaluate the needs of Indian patients with regard to future donor recruitment, we analyzed a large data set of =130,518 potential stem cell donors registered with DKMS-BMST, a Bangalore-based donor registry with nationwide donor recruitment activities.
BMC Res Notes
March 2025
Department of Sports Medicine, The First Affiliated Hospital, Guangdong Provincial Key Laboratory of Speed Capability, The Guangzhou Key Laboratory of Precision Orthopedics and Regenerative Medicine, Jinan University, Guangzhou, 510630, China.
Objectives: Osteoporosis, prevalent among the elderly population, is primarily diagnosed through bone mineral density (BMD) testing, which has limitations in early detection. This study aims to develop and validate a machine learning approach for osteoporosis identification by integrating demographic data, laboratory and questionnaire data, offering a more practical and effective screening alternative.
Methods: In this study, data from the National Health and Nutrition Examination Survey were analyzed to explore factors linked to osteoporosis.
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