The community as first responder and as support for professionals in the event of disasters [0.03%]
社区在灾害事件中的第一响应者和专业人员的支持者角色
Miguel Garrido-Bueno,Alba Romero-Alvero,Javier Fagundo-Rivera
Miguel Garrido-Bueno
Toward a new paradigm of health security: The central role of health systems in crises and disasters [0.03%]
迈向卫生安全新模式：危机和灾祸中卫生系统的中心作用
Rafael Castro-Delgado,Eduardo Montero Viñuales,Emanuele Bruni
Rafael Castro-Delgado
Time to publication for results of clinical trials: a Cochrane review [0.03%]
临床试验结果的发表时滞：Cochrane系统评价
Marian G Showell,Sammy Cole,Mike J Clarke et al.
Marian G Showell et al.
Appendectomy versus antibiotic treatment for acute apendicitis: a Cochrane review [0.03%]
急性阑尾炎的手术治疗与抗生素治疗的系统评价研究
Brett Doleman,Siv Fonnes,Jon N Lund et al.
Brett Doleman et al.
The 2017 Barcelona terrorist attack: Real-time appropriateness and lessons learned from the management of an intentional vehicle-ramming mass-casualty incident [0.03%]
2017年巴塞罗那恐怖袭击事件：一起有意图的驾车冲撞大规模伤亡事故的实时适宜性及经验教训
Eva M ª Valiño,Youcef Azeli,Joaquin Ríos et al.
Eva M ª Valiño et al.
Objective: To describe the appropriateness of triage according to safety conditions, incident characteristics, and observed injury patterns in an intentional vehicle-ramming (VR) mass-casualty incident (MCI). ...
Diagnostic algorithm for urgent causes of dyspnea based on lung auscultation and ultrasound: The CLINIC-LUS Prospective Study [0.03%]
基于肺部听诊和超声的急症呼吸困难诊断算法：CLINIC-LUS 前瞻性研究
Davide Bernaudo,María de Los Ángeles Guerrero-León,Milagros Rodríguez-Cortés et al.
Davide Bernaudo et al.
Objective: Dyspnea is a frequent reason for consultation in emergency departments (EDs). Ultrasound artifacts generated within lung tissue can be interpreted for diagnostic purposes. The primary endpoint of this study was...
Older adults and major cardiovascular events requiring emergency department consultation during the 1st wave of the COVID-19 pandemic: results from the EDEN-4 Study [0.03%]
新冠大流行第一波期间老年患者急性心血管事件急诊就诊情况：EDEN-4研究结果
Pascual Piñera Salmerón,Javier Jacob,Òscar Miró et al.
Pascual Piñera Salmerón et al.
Objective: To determine the rate, patient profile, and outcomes of emergency department (ED) visits by older adults for major acute cardiovascular events (MACE) during the 1st wave of the COVID-19 pandemic in Spain vs the...
Comparative analysis between high- and low-resource hospitals to identify factors associated with sepsis-related mortality [0.03%]
高低资源医院间的比较分析，以识别与脓毒症相关死亡率的因素
Erin Simon,Augusto Maldonado,Abdoulie Gaye et al.
Erin Simon et al.
Objective: To compare sepsis-related mortality between a limited-resource setting in South America and a high-resource setting in North America, and examine differences in early sepsis management processes. ...
Real-time prediction of emergency department admissions using an AI model and its integration into hospital bed-planning [0.03%]
基于AI模型的急诊科入院人数实时预测及其在医院床位规划中的应用
Javier Millán Soria,Javier Medina Álvarez,Laura Sánchez Suárez et al.
Javier Millán Soria et al.
Objective: To design, validate, and implement a tool based on a machine-learning model capable of predicting emergency patient admissions in real time, and to develop an application that integrates the model together with...
Assessment of the risk of bacteremia in patients with hematologic malignancies in the emergency department: A comparative study between logistic regression and machine learning algorithms [0.03%]
急性白血病急诊科患者菌血症风险评估：逻辑回归与机器学习算法的比较研究
Antonio Gallardo-Pizarro,Olivier Peyrony,Christian Teijón-Lumbreras et al.
Antonio Gallardo-Pizarro et al.
Objective: To stratify the risk of bacteremia at the time of emergency department (ED) admission in patients with hematologic malignancies. To this end, we compared the performance of unsupervised and supervised machine l...