Introduction: The proper use of antimicrobials is a challenge in healthcare establishments.
Objectives: Describe the detailed antimicrobial consumption profile in 2021-2022. Describe the annual evolutionary profile of the use of antimicrobials in days of therapy/1000 patient days, antibiotic spectrum index/1000 patients days and according to the proportion of days of therapy administered by parenteral route from 2005-2006 to 2021-2022.
Method: Descriptive and retrospective study. All patients admitted to our mother-child hospital center between April 1, 2005 and March 31, 2022 were included. The study covers the consumption of all antimicrobials through the AWare classification of the World Health Organization and antibiotic spectrum index.
Results: A total of 673.9 days of therapy/1000 patients days was calculated in 2021-2022, i.e. 550.8 for antibiotics, 46.5 for antivirals, 67.9 for antifungals and 8.7 for others. A total of 2436 ASI/1000 patient days was calculated in 2021-2021. According to the AWaRe classification, in 2021-2022, 52.1% (287/551) of days of therapy/1000 patients days referred to the "Access" group, 47.8% (263/551) to the "Watch" group and 0.2% (1/551) to the "Reserve" group.
Conclusion: This study aims to explore the use of antimicrobials in a mother-child hospital center. It puts into perspective a stable or even slightly decreasing use of a selection of antimicrobials and compares favorably with published data. Antibiotic governance is based in particular on the periodic evaluation of consumption. Our study illustrates different approaches to quantify and describe this use.
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http://dx.doi.org/10.1016/j.pharma.2023.12.012 | DOI Listing |
Sleep
January 2025
UR2NF-Neuropsychology and Functional Neuroimaging Research Unit affiliated at CRCN - Centre for Research in Cognition and Neurosciences and UNI - ULB Neuroscience Institute, Université Libre de Bruxelles (ULB), Brussels, Belgium.
Enhancing the retention of recent memory traces through sleep reactivation is possible via Targeted Memory Reactivation (TMR), involving cueing learned material during post-training sleep. Evidence indicates detectable short-term microstructural changes in the brain within an hour after motor sequence learning, and post-training sleep is believed to contribute to the consolidation of these motor memories, potentially leading to enduring microstructural changes. In this study, we explored how TMR during post-training sleep affects performance gains and delayed microstructural remodeling, using both standard Diffusion Tensor Imaging (DTI) and advanced Neurite Orientation Dispersion & Density Imaging (NODDI).
View Article and Find Full Text PDFNeurol Sci
January 2025
Department of Neurology, Peking Union Medical College Hospital, 100730, Beijing, China.
Neurol Sci
January 2025
Epilepsy Center, Department of Neurology, West China Hospital of Sichuan University, Chengdu, China.
This study intents to detect graphical network features associated with seizure relapse following antiseizure medication (ASM) withdrawal. Twenty-four patients remaining seizure-free (SF-group) and 22 experiencing seizure relapse (SR-group) following ASM withdrawal as well as 46 matched healthy participants (Control) were included. Individualized morphological similarity network was constructed using T1-weighted images, and graphic metrics were compared between groups.
View Article and Find Full Text PDFMol Diagn Ther
January 2025
Istituto Europeo di Oncologia, IRCCS, Via Adamello 16, 20139, Milan, Italy.
Background: Predicting response to targeted cancer therapies increasingly relies on both simple and complex genetic biomarkers. Comprehensive genomic profiling using high-throughput assays must be evaluated for reproducibility and accuracy compared with existing methods.
Methods: This study is a multicenter evaluation of the Oncomine™ Comprehensive Assay Plus (OCA Plus) Pan-Cancer Research Panel for comprehensive genomic profiling of solid tumors.
Am J Cardiovasc Drugs
January 2025
Division of Cardiology, Department of Internal Medicine, Ilsan Paik Hospital, Inje University College of Medicine, Goyang, Republic of Korea.
Background: Amiodarone is an effective anti-arrhythmic drug; however, it is frequently associated with thyroid dysfunction. The aim of this study was to investigate the incidence and risk factor of amiodarone-induced dysfunction in an iodine-sufficient area.
Methods: This retrospective cohort study included 27,023 consecutive patients treated with amiodarone for arrhythmia, using the Korean National Health Insurance database.
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