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期刊名:Journal of critical care medicine

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ISSN:2393-1809

e-ISSN:2393-1817

IF/分区:1.7/Q3

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共收录本刊相关文章索引382
Clinical Trial Case Reports Meta-Analysis RCT Review Systematic Review
Classical Article Case Reports Clinical Study Clinical Trial Clinical Trial Protocol Comment Comparative Study Editorial Guideline Letter Meta-Analysis Multicenter Study Observational Study Randomized Controlled Trial Review Systematic Review
Thomas Bradier,Sébastien Grigioni,Céline Savoye-Collet et al. Thomas Bradier et al.
Background: Sarcopenia, defined by a loss of skeletal muscle mass and function, has been identified as a prevalent condition associated with poor clinical outcome among critically ill patients. This study aims to evaluate...
Merve Misirlioglu,Dincer Yildizdas,Faruk Ekinci et al. Merve Misirlioglu et al.
Introduction: In traumatic brain injury (TBI), direct information can be obtained about cerebral blood flow, brain tissue oxygenation and cerebral perfusion pressure values. More importantly, an idea about the changes in ...
Sarwat Rasheed,Sidra Javed,Thanyat Rasheed et al. Sarwat Rasheed et al.
Introduction: Acute respiratory distress syndrome (ARDS) is characterized by progressive lung inflammation which leads to increased dead space that can cause hypercapnia and can increase the risk of patient morbidity and ...
Madeleine M Puissant,Kaitlin J Armstrong,Richard R Riker et al. Madeleine M Puissant et al.
Objective: Systematically examine the literature describing midodrine to treat shock and to summarize current administration and dosing strategies. Data s...
Dita Aditianingsih,Noor Hafidz,Aino Nindya Auerkari et al. Dita Aditianingsih et al.
Introduction: Understanding the association between risk factors and clinical outcomes of COVID-19 can lead to identifying suitable management strategies for reducing the mortality rate among maternal COVID-19 patients in...
Fabio Varón-Vega,Eduardo Tuta-Quintero,Adriana Maldonado-Franco et al. Fabio Varón-Vega et al.
Introduction: Determining the optimal timing for extubation in critically ill patients is essential to prevent complications. Predictive models based on Machine Learning (ML) have proven effective in anticipating weaning ...
Fabrice Petitjeans,Dan Longrois,Marco Ghignone et al. Fabrice Petitjeans et al.
This overview addresses the pathophysiology of the acute respiratory distress syndrome (ARDS; conventional vs. COVID), the use of oxygen high flow (HFN) vs. noninvasive ventilation (NIV; conventional vs. helmet) and a multi-modal approach t...