Effect of timing of norepinephrine administration on prognosis of patients with septic shock: A prospective cohort study [0.03%]
norepinephrine的给药时机对脓毒性休克患者预后的影响：一项前瞻性队列研究
Yuting Li,Deyou Zhang,Hongxiang Li et al.
Yuting Li et al.
Background: Sepsis and septic shock are major healthcare problems worldwide, associated with substantial mortality. Early administration of norepinephrine in septic shock patients has been associated with an increased sur...
Laurens A Biesheuvel,Jessica D Workum,Merijn Reuland et al.
Laurens A Biesheuvel et al.
The advent of chat generative pre-trained transformer (ChatGPT) and large language models (LLMs) has revolutionized natural language processing (NLP). These models possess unprecedented capabilities in understanding and generating human-lik...
Is it beneficial to allow the patient's family to attend cardiac resuscitation: Different cultural perspectives? A scoping review [0.03%]
允许患者家属参与心脏复苏：有益吗？不同文化视角的一篇综述性文章
Hasan Abualruz,Mohammad A Abu Sabra,Elham H Othman et al.
Hasan Abualruz et al.
Background: Family presence during resuscitation (FPDR) is a controversial issue that remains unresolved in contemporary practice. Although there are many research studies on FPDR and several published statements and guid...
Critical care studies using large language models based on electronic healthcare records: A technical note [0.03%]
基于电子健康记录的大型语言模型在重症监护研究中的应用：技术说明
Zhongheng Zhang,Hongying Ni
Zhongheng Zhang
The integration of large language models (LLMs) in clinical medicine, particularly in critical care, has introduced transformative capabilities for analyzing and managing complex medical information. This technical note explores the applica...
Preparing for future pandemics: Automated intensive care electronic health record data extraction to accelerate clinical insights [0.03%]
为未来疫情做准备——自动化提取重症监护电子健康记录数据以加速临床研究
Lada Lijović,Harm Jan de Grooth,Patrick Thoral et al.
Lada Lijović et al.
Background: Manual data abstraction from electronic health records (EHRs) for research on intensive care patients is time-intensive and challenging, especially during high-pressure periods such as pandemics. Automated dat...
Potential causal association between gut microbiota, inflammatory cytokines, and acute pancreatitis: A Mendelian randomization study [0.03%]
基于孟德尔随机化研究的肠道菌群、炎症细胞因子与急性胰腺炎潜在因果关联分析
Xiaofeng Wang,Yiwen Qiu,Ying Di et al.
Xiaofeng Wang et al.
Background: Acute pancreatitis (AP) ranks among the most frequently encountered gastrointestinal diseases in the emergency department. Recent studies have increasingly emphasized the substantial connection among gut micro...
Risk factors and outcomes of pediatric non-invasive respiratory support failure in Latin America [0.03%]
拉丁美洲儿科非侵入性呼吸支持失败的风险因素和结局
Diana Paola Escobar-Serna,Juan Sebastian Barajas-Romero,Juan Javier Peralta-Palmezano et al.
Diana Paola Escobar-Serna et al.
Background: Noninvasive respiratory support (NRS) is standard in pediatric intensive care units (PICUs) for respiratory diseases, but its failure can lead to complications requiring invasive mechanical ventilation (IMV). ...
Physiological effects and clinical evidence of high-flow nasal cannula during acute exacerbation in COPD patients: A narrative review [0.03%]
高流量鼻导管在慢性阻塞性肺疾病急性加重期的生理效应及临床证据：综述文章
Nicolás Colaianni-Alfonso,Federico Herrera,Diego Flores et al.
Nicolás Colaianni-Alfonso et al.
Chronic obstructive pulmonary disease (COPD) is one of the leading causes of death worldwide. During severe exacerbations, COPD patients may develop acute respiratory failure (ARF), often necessitating hospital admission due to impaired gas...
Pierre Bay,Nicolas de Prost
Pierre Bay
Acute hypoxemic respiratory failure (AHRF) is the leading cause of intensive care unit (ICU) admissions. Of patients with AHRF, 40 %-50 % will require invasive mechanical ventilation during their stay in the ICU, and 30 %-80 % will meet the...
Redefining sepsis management: The comprehensive impact of artificial intelligence [0.03%]
重新定义脓毒症管理：人工智能的全面影响
Jamie Ghossein,Brett N Hryciw,Kwadwo Kyeremanteng
Jamie Ghossein