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  • Authors: Alexander, Fletcher-Sandersjöö; Charles, Tatter; Jonathan, Tjerkaski;  Advisor: -;  Co-Author: - (2023)

    Preventing intracranial hematoma expansion has been advertised as a possible treatment opportunity in traumatic brain injury (TBI). However, the time course of hematoma expansion, and whether the expansion affects outcome, remains poorly understood. In light of this, the aim of this study was to use 3D volume rendering to determine how traumatic intracranial hematomas expand over time and evaluate its impact on outcome.

  • Authors: Job F., Waalwijk; Robin D., Lokerman; Rogier van der, Sluijs;  Advisor: -;  Co-Author: - (2023)

    The importance of treating severely injured patients in higher-level trauma centers is undisputable. However, it is uncertain whether severely injured patients that were initially transported to a lower-level trauma center (i.e., undertriage) benefit from being transferred to a higher-level trauma center.

  • Authors: Ashwini, Reddy; Sanjay, Kumar; Shalvi, Mahajan;  Advisor: -;  Co-Author: - (2023)

    Propofol is considered an excellent intravenous anesthetic agent. However, a 30–70% incidence of pain associated with its injection is a significant source of patient discontent. Injection pain and discomfort rank as the sixth most crucial perioperative issue (Desousa 2016). Several techniques have been employed to reduce injection discomfort, including the use of the forearm and antecubital veins, freezing or warming the injectate, and aspirating blood before injection. Pre-treatment or contemporaneous administration of thiopentone, pethidine, fentanyl, dexamethasone, nitroglycerine, ketorolac, and local anesthetics has also been considered.

  • Authors: Thomas J., Morgan; Adrian N., Langley; Robin D. C., Barrett;  Advisor: -;  Co-Author: - (2023)

    Using computer simulation we investigated whether machine learning (ML) analysis of selected ICU monitoring data can quantify pulmonary gas exchange in multi-compartment format. A 21 compartment ventilation/perfusion (V/Q) model of pulmonary blood flow processed 34,551 combinations of cardiac output, hemoglobin concentration, standard P50, base excess, VO2 and VCO2 plus three model-defining parameters: shunt, log SD and mean V/Q.

  • Authors: Brian, Chen; David M., Maslove; Jeffrey D., Curran;  Advisor: -;  Co-Author: - (2023)

    Atrial fibrillation (AF) is the most common cardiac arrhythmia in the intensive care unit and is associated with increased morbidity and mortality. New-onset atrial fibrillation (NOAF) is often initially paroxysmal and fleeting, making it difficult to diagnose, and therefore difficult to understand the true burden of disease. Automated algorithms to detect AF in the ICU have been advocated as a means to better quantify its true burden.