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癫痫是世界卫生组织重点防治的五大神经精神疾病之一。2017年6月至今,我国国家神经系统疾病医疗质量控制中心癫痫质控专病组在充分参考国内外循证证据及既往经验的基础上,经过3批试点,逐步启动全国癫痫医疗质量控制指标体系工作,构建了覆盖我国31个省级行政区,130家质量控制哨点医院的国家癫痫及惊厥性癫痫持续状态医疗质量控制体系,并依托哨点医院反馈的诊疗指标数据,对既往医疗质量控制指标体系进行修订,最终纳入20个经过验证的癫痫与惊厥性癫痫持续状态医疗质量控制指标。2020年 ...
The Epilepsy Working Group of National Center for Healthcare Quality Management in Neurological Diseases
doaj +1 more source
Background Polypharmacy is prevalent among hospitalized older adults, particularly those being discharged to a post-care care facility (PAC). The aim of this randomized controlled trial is to determine if a patient-centered deprescribing intervention ...
Eduard E. Vasilevskis+9 more
doaj +1 more source
Taurine promotes glucagon‐like peptide‐1 secretion in enteroendocrine L cells
Taurine, a sulfur‐containing amino acid, is likely taken up by enteroendocrine L cells via the taurine transporter. This process increases the levels of cytosolic ATP. The increase in intracellular Ca2+ concentrations and glucagon‐like peptide‐1 secretion through membrane depolarization is caused by the closure of ATP‐sensitive potassium channels ...
Yuri Osuga+6 more
wiley +1 more source
Background Screening lies at the heart of preventive care. However, COVID-19 dramatically disrupted routine screening efforts, resulting in excess mortality not directly attributable to COVID-19.
Sylvia J. Hysong+7 more
doaj +1 more source
Background. In 2021, new clinical guidelines for the treatment of chronic hepatitis C virus (HCV) in adults were published that did not contain interferon drug therapy regimens.
V. V. Omelyanovskiy+9 more
doaj +1 more source
Assessment of Amazon Comprehend Medical: Medication Information Extraction [PDF]
In November 27, 2018, Amazon Web Services (AWS) released Amazon Comprehend Medical (ACM), a deep learning based system that automatically extracts clinical concepts (which include anatomy, medical conditions, protected health information (PH)I, test names, treatment names, and medical procedures, and medications) from clinical text notes.
arxiv
Quantity and Quality in Medical Research
We read with interest the papers by Kaul et al. ([1][1]) and Stone et al. ([2][2]), published in a recent issue of the Journal . Both highlight vividly the all too commonly found errors and limitations in current medical literature.
Syed Wamique Yusuf, Iyad N. Daher
openaire +2 more sources
Unraveling Mycobacterium tuberculosis acid resistance and pH homeostasis mechanisms
Mycobacterium tuberculosis exhibits a remarkable resilience to acid stress. In this Review, we discuss some of the molecular mechanisms and metabolic pathways used by the tubercle bacilli to adapt and resist host‐mediated acid stress. Mycobacterium tuberculosis (Mtb) is a successful pathogen that has developed a variety of strategies to survive and ...
Janïs Laudouze+3 more
wiley +1 more source
Can Embeddings Adequately Represent Medical Terminology? New Large-Scale Medical Term Similarity Datasets Have the Answer! [PDF]
A large number of embeddings trained on medical data have emerged, but it remains unclear how well they represent medical terminology, in particular whether the close relationship of semantically similar medical terms is encoded in these embeddings. To date, only small datasets for testing medical term similarity are available, not allowing to draw ...
arxiv
Shifted Windows Transformers for Medical Image Quality Assessment [PDF]
To maintain a standard in a medical imaging study, images should have necessary image quality for potential diagnostic use. Although CNN-based approaches are used to assess the image quality, their performance can still be improved in terms of accuracy.
arxiv