Publications by authors named "E Schwager"
Etiology of craniofacial and cardiac malformations in a mouse model of -related syndromes.
Proc Natl Acad Sci U S A
September 2024
Article Synopsis
- * Mutant mouse models with SF3B4 deletion in neural crest cells demonstrated similar abnormalities, with variations in severity that depended on neighboring non-neural crest cell factors.
- * RNA sequencing revealed significant expression changes in genes regulating neural crest cell functions and increased exon skipping, suggesting that reduced SF3B4 impacts splicing and expression of crucial transcripts, resulting in developmental defects.
The goal of this work is to develop a Machine Learning model to predict the need for both invasive and non-invasive mechanical ventilation in intensive care unit (ICU) patients. Using the Philips eICU Research Institute (ERI) database, 2.6 million ICU patient data from 2010 to 2019 were analyzed.
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- The opioid crisis is a significant national issue leading to increased attention on opioid-related deaths.
- The study reviews opioid infusion practices in patients with acute respiratory failure on mechanical ventilation across multiple hospitals.
- Findings reveal that a notable percentage of patients received opioid infusions, with substantial variations in usage and doses among different hospitals.
Predicting the duration of ventilation in the ICU helps in assessing the risk of ventilator-induced lung injury, ensuring sufficient oxygenation, and optimizing resource allocation. Prior models provided a prediction of total duration without distinguishing between invasive and non-invasive ventilation. This work proposes two independent gradient boosting regression models for predicting the duration of invasive and non-invasive ventilation based on commonly available ICU features.
View Article and Find Full Text PDFBackground: Intensivists target different blood pressure component values to manage intensive care unit (ICU) patients with sepsis. We aimed to evaluate the relationship between individual blood pressure components and organ dysfunction in critically ill septic patients.
Methods: In this retrospective observational study, we evaluated 77,328 septic patients in 364 ICUs in the eICU Research Institute database.