Publications by authors named "S A Schobel"
Article Synopsis
- The study examined 33 severe COVID-19 patients who underwent a novel hemoperfusion therapy using the Seraph100 filter, aiming to reduce viral RNA levels and markers of inflammation.
- Results showed that while the initial levels of SARS-CoV-2 RNA were generally low and did not significantly change post-treatment, five inflammatory protein analytes exhibited notable decreases, indicating some therapeutic effect on inflammation and endothelial damage.
- The conclusion highlighted that Seraph 100 did not effectively lower viral RNA levels, but it did successfully reduce several inflammatory markers in the blood of these patients.
Background: Patients with sepsis-induced hypotension are generally treated with a combination of intravenous fluids and vasopressors. The attributes of patients receiving a liberal compared to a restrictive fluid strategy have not been fully characterized. We use machine learning (ML) techniques to identify key predictors of restrictive versus liberal fluids strategy, and the likelihood of receiving each strategy in distinct patient phenotypes.
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- This study aims to enhance prediction of patient outcomes after severe traumatic brain injury (sTBI) by integrating clinical data with serum inflammatory and neuronal protein levels.
- Researchers enrolled 53 adult patients and used machine learning techniques to develop models predicting post-traumatic vasospasm (PTV) and mortality, identifying specific biomarkers and clinical signs as key predictors.
- Findings reveal that certain inflammatory markers and demographic factors can better predict PTV development and mortality than standard clinical tools, indicating the importance of biochemical data in assessing sTBI outcomes.
DNA Polymerase Theta (Pol θ) is a conserved an A-family polymerase that plays an essential role in repairing double strand breaks, through micro-homology end joining, and bypassing DNA lesions, through translesion synthesis, to protect genome integrity. Despite its essential role in DNA repair, Pol θ is inherently error-prone. Recently, key loop regions were identified to play an important role in key functions of Pol θ.
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- Researchers studied septic patients with acute respiratory failure (ARF) needing mechanical ventilation to identify different patient phenotypes, aiming to understand the variability in their clinical presentation and outcomes.
- They conducted a multi-center retrospective study, analyzing clinical data from ICU patients across two hospitals and using machine learning to cluster the data into distinct phenotypes.
- Four phenotypes were identified, each displaying unique clinical features and mortality outcomes, demonstrating significant differences in 28-day mortality rates among them despite similar demographics.