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Quantifying the potential contribution of drugs to the occurrence of acute kidney injury in patients with chronic kidney disease.
Clin Kidney J
January 2025
Pharmacoepidemiology Unit, Department of Clinical Pharmacology, Amiens-Picardie University Medical Center, Amiens, France.
Background: We sought to comprehensively describe drug-related components associated with acute kidney injury (AKI) in patients with chronic kidney disease (CKD), describing the incidence of drug-related AKI, the proportion of preventable AKI, identified the various drugs potentially associated with it, explored the risk factors, and assessed the 1-year incidences of the recurrence of drug-related AKI, kidney failure, and death.
Methods: CKD-REIN is a French national prospective cohort of 3033 nephrology outpatients with a confirmed diagnosis of CKD (eGFR <60 ml/min/1.73 m²).
Contrast Enhancement in Breast Cancer: Magnetic Resonance vs. Mammography: A 10-Year Systematic Review.
Diagnostics (Basel)
October 2024
SCDU Radiology, "Maggiore della Carità" Hospital, University of Eastern Piedmont, 28100 Novara, Italy.
Purpose: Contrast Enhancement Magnetic Resonance (CEMR) and Contrast-Enhanced Mammography (CEM) are important diagnostic tools to evaluate breast cancer patients, and both are objects of interest in the literature. The purpose of this systematic review was to select publications from the last ten years in order to evaluate the literature contributions related to the frequency of contrast agents used, administration techniques and the presence of adverse reactions.
Methods: We have selected, according to the PRISMA statement, publications reviewed on Pub Med in the period from 1 January 2012 to 31 December 2022.
Iron separation from iron-rich manganese ore leachate: Comprehensive optimization of operating parameters and economic viability.
Chemosphere
November 2024
Daxin Manganese Mining Branch of South Manganese Group Limited, Chongzuo, 532315, China. Electronic address:
In the current electrolytic manganese industry, iron separation and reuse from iron-rich manganese ore leachate (IRMOL) has become one of the most pressing challenges. This study aimed to investigate the optimal conditions for iron separation from IRMOL and to assess the economic and practical advantages of iron separation or removal in industrial manufacturing. To identify more cost-effective and technologically advanced production circumstances, we examined five key elements that weaken Fe(OH) colloidal production conditions in enterprises: reaction temperature, pH, crystal species, aging and reaction time.
View Article and Find Full Text PDFUnlocking the potential: machine learning applications in electrocatalyst design for electrochemical hydrogen energy transformation.
Chem Soc Rev
November 2024
College of Engineering and Applied Sciences, Nanjing University, Nanjing, 210093, China.
Article Synopsis
- Machine learning (ML) is revolutionizing the hydrogen energy sector by optimizing electrocatalysts that enhance vital electrochemical reactions, making the process faster and more efficient than traditional methods.
- This review highlights how ML techniques analyze data from experiments and simulations to uncover complex relationships between materials and their performance, enabling the discovery of new catalysts.
- The paper organizes ML research based on different materials used in various electrochemical reactions and discusses the future potential of ML in electrocatalyst development, while identifying challenges in this evolving field.
Machine learning for adverse event prediction in outpatient parenteral antimicrobial therapy: a scoping review.
J Antimicrob Chemother
December 2024
Division of Pediatric Infectious Diseases, Oregon Health and Science University, Portland, OR, USA.
Objective: This study aimed to conduct a scoping review of machine learning (ML) techniques in outpatient parenteral antimicrobial therapy (OPAT) for predicting adverse outcomes and to evaluate their validation, implementation and potential barriers to adoption.
Materials And Methods: This scoping review included studies applying ML algorithms to adult OPAT patients, covering techniques from logistic regression to neural networks. Outcomes considered were medication intolerance, toxicity, catheter complications, hospital readmission and patient deterioration.
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