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期刊名:Critical care explorations

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ISSN:N/A

e-ISSN:2639-8028

IF/分区:2.7/Q2

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共收录本刊相关文章索引1406
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
Victor B Talisa,Sachin P Yende,Derek C Angus et al. Victor B Talisa et al.
Objectives: Sepsis trials likely include patients who vary in response to therapeutic interventions. The optimal approach to identify such differences in treatment response remains unclear. Estimating individualized absol...
Stefan Yu Bögli,Claudia Ann Smith,Peter Hutchinson et al. Stefan Yu Bögli et al.
Objectives: Multimodality monitoring based prognostication in pediatric traumatic brain injury (TBI) relies heavily on the evaluation of instantaneous and easily interpretable monitoring values. Entropy quantifies the lev...
Brian Murray,Tianyi Zhang,Zhetao Chen et al. Brian Murray et al.
Background: Mortality prediction in ICU adults is only marginally improved when medication regimen complexity (MRC) data is incorporated into traditional regression models. Machine learning (ML) may improve this predictio...
August Longino,Katharine Martin,Stephen Bourland et al. August Longino et al.
Context: To evaluate and compare sublingual microscopy (SLM) to urinary glycosaminoglycan (GAG) assays, dimethylmethylene blue (DMMB) assay, and liquid chromatography tandem mass spectrometry (LC-MS/MS) quantification of ...
Gabriel Conte Cortez Martins,Julius J Lutwama,Nicholas Owor et al. Gabriel Conte Cortez Martins et al.
Objective: Severe infectious diseases are a leading cause of morbidity and mortality worldwide, particularly in sub-Saharan Africa (SSA), where young and middle-aged adults are disproportionately affected. Although age-re...
Orkun Baloglu,Xiaofeng Wang,Bradley S Marino et al. Orkun Baloglu et al.
Objective: To train and test supervised machine learning (ML) models to predict low cardiac output syndrome (LCOS) within the first 48 postoperative hours in neonates undergoing cardiothoracic surgery. ...
Orkun Baloglu,Xiaofeng Wang,Bradley S Marino et al. Orkun Baloglu et al.
Objective: To train and test supervised machine learning (ML) models to predict low cardiac output syndrome (LCOS) within the first 48 postoperative hours in neonates undergoing cardiothoracic surgery. ...
Daniel E Ehrmann,Sara N Gallant,Sunkyung Yu et al. Daniel E Ehrmann et al.
Importance: Excessive cognitive load impairs task performance and contributes to burnout, but studies of cognitive load in pediatric critical care medicine (PCCM) settings are limited. ...
Kate M Willsey,Michael E Plazak,Leonid Belyayev et al. Kate M Willsey et al.
The impact of common hemoglobinopathies, such as sickle cell trait (SCT), on outcomes in adults requiring extracorporeal membrane oxygenation (ECMO) remains understudied. Extracorporeal Life Support Organization registry data was analyzed t...
Fernando Vieira,Annia Schreiber,Mayson L A Sousa et al. Fernando Vieira et al.
High-flow nasal cannula (HFNC) is a common noninvasive respiratory therapy for respiratory failure, offering positive airway pressure and dead space clearance. In critically ill patients, additional nasal tubes for feeding or monitoring are...