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A cancer drug preparation robot was used to select an optimal drug for drug vial optimization(DVO)and thus reduce medical costs and improve the risk benefit profile. We administered DVO for paclitaxel(PTX)30 mg/100 mg, etoposide(VP-16)100 mg, and oxaliplatin(L-OHP)50 mg/100 mg at Ogaki Municipal Hospital. Comparisons were made for preparation time and drug waste(cost)before and after DVO implementation for each drug over 5, 2, and 2 months respectively. PTX was consolidated from 2 specifications into a single specification(100 mg)with the introduction of DVO. Changes in median preparation times for each drug after implementation of DVO were as follows: for PTX, it decreased from 433 s before implementation to 410 s after implementation(p=0.043). Conversely, for VP-16 and L-OHP, the time increased from 320 and 348 s before implementation to 375 and 362 s after implementation, respectively(both p<0.001). The amounts of drug waste(cost of waste)before and after DVO implementation were as follows: for PTX, it decreased from 1,269.26 mg(77,277 yen)to 327.99 mg(19,037 yen); for VP-16, it decreased from 1,275.6 mg(43,600 yen)to 99 mg (3,384 yen); and for L-OHP, it decreased from 3,563.9 mg(975,660 yen)to 4.48 mg(1,143 yen)(all p<0.001). For the implementation of DVO, drugs must be selected based on waste reduction rates and efficiency gains, especially for high-cost anticancer drugs.
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J Pharm Biomed Anal
September 2025
Shaanxi Collaborative Innovation Center of Chinese Medicine Resources Industrialization, State Key Laboratory of Research & Development of Characteristic Qin Medicine Resources (Cultivation), Shaanxi Innovative Drug Research Center and College of Pharmacy, Shaanxi University of Chinese Medicine, Xia
This study aims to comprehensively screen quality markers using an integrated multi-strategy approach combining plant metabolomics, spectrum-effect relationship analysis, network pharmacology, and quantitative analysis, thereby providing a basis for quality control of Paris polyphylla var. yunnanensis and its closely related species. Firstly, 14 differential metabolites were screened from the roots, stems, and leaves of Paris polyphylla var.
View Article and Find Full Text PDFJ Electrocardiol
August 2025
Computational Physics Laboratory, Tampere University, P.O. Box 600, FI-33014 Tampere, Finland. Electronic address:
The QT interval is a key indicator in assessing arrhythmia risk, evaluating drug safety, and supporting clinical diagnosis in cardiology. The QT interval is significantly influenced by heart rate so it must be accurately corrected to ensure reliable clinical interpretation. Conventional correction formulas, such as Bazett's formula, are widely utilized but often criticized for inaccuracies, either under- or overcorrecting QT intervals in different physiological conditions.
View Article and Find Full Text PDFSoc Sci Med
September 2025
Department of Child Health and Development, Norwegian Institute of Public Health, Oslo, Norway.
Background: An upward trend in self-reported mental distress among adolescents has been documented in Norway and several other countries, yet the causes remain unclear. This study aims to identify potential explanations for this trend by testing hypothesized factors using repeated cross-sectional data.
Methods: We analyzed responses from 979,043 Norwegian adolescents, collected across 1417 municipality level surveys between 2011 and 2024.
Drug Alcohol Depend
August 2025
Department of Psychiatry, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA. Electronic address:
Background: Alcohol and cannabis co-use is increasingly prevalent across the U.S., concomitant with trends towards recreational cannabis legalization.
View Article and Find Full Text PDFJ Chromatogr A
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College of Materials & Environmental Engineering, Hangzhou Dianzi University, Hangzhou 310018, China.
Synthetic cathinones (SCs) are drugs of abuse that act on the central nervous system, producing psychoactive effects similar to those of amphetamines. Their greater accessibility compared with the traditional amphetamine-type stimulants has contributed to their increasing popularity in recent years. The analysis of SCs in biological samples is essential for documenting their consumption.
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