Critical care medicine
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Critical care medicine · Nov 2024
Meta AnalysisDirect Laryngoscopy Versus Video Laryngoscopy for Intubation in Critically Ill Patients: A Systematic Review, Meta-Analysis, and Trial Sequential Analysis of Randomized Trials.
Given the uncertainty regarding the optimal approach to laryngoscopy for the intubation of critically ill adult patients, we conducted a systematic review and meta-analysis to compare video laryngoscopy (VL) vs. direct laryngoscopy (DL) for intubation in emergency department and ICU patients. ⋯ In critically ill adult patients undergoing intubation, the use of VL, compared with DL, probably leads to higher rates of FPS and probably decreases esophageal intubations. VL may result in fewer dental injuries as well as aspiration events compared with DL with no effect on mortality.
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Critical care medicine · Nov 2024
Meta AnalysisThe Impact of Point-of-Care Ultrasound-Guided Resuscitation on Clinical Outcomes in Patients With Shock: A Systematic Review and Meta-Analysis.
To determine the impact of point-of-care ultrasound (POCUS)-guided resuscitation on clinical outcomes in adult patients with shock. ⋯ POCUS-guided resuscitation in shock may yield important patient and health system benefits. Due to lack of sufficient evidence, we were unable to explore how the thresholds of operator competency, frequency, and timing of POCUS scans impact patient outcomes.
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Critical care medicine · Nov 2024
ReviewRisk Stratification and Management of Acute Respiratory Failure in Patients With Neuromuscular Disease.
Guillain-Barré syndrome (GBS) and myasthenia gravis (MG) are the most common causes of acute neuromuscular respiratory failure resulting in ICU admission. This synthetic narrative review summarizes the evidence for the prediction and management of acute neuromuscular respiratory failure due to GBS and MG. ⋯ Multimodal assessments integrating several bedside indicators of bulbar and respiratory muscle function can aid in evidence-based risk stratification for respiratory failure among those with neuromuscular disease. Serial evaluations may help establish a patient's trajectory and to determine timing of respiratory intervention.
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Critical care medicine · Nov 2024
Multicenter Study Observational StudyThe Impact of Multi-Institution Datasets on the Generalizability of Machine Learning Prediction Models in the ICU.
To evaluate the transferability of deep learning (DL) models for the early detection of adverse events to previously unseen hospitals. ⋯ Our results emphasize the importance of diverse training data for DL-based risk prediction. They suggest that as data from more hospitals become available for training, models may become increasingly generalizable. Even so, good performance at a new hospital still depended on the inclusion of compatible hospitals during training.