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Results 231-240 of 384 (Search time: 0.004 seconds).
  • 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.

  • Authors: Alice, Bernard; Lina Maria, Serna-Higuita; Peter, Martus;  Advisor: -;  Co-Author: - (2023)

    Health-related quality of life after surviving acute respiratory distress syndrome has come into focus in recent years, especially during the coronavirus disease 2019 pandemic.

  • Authors: Ameldina, Ceric; Teresa L., May; Anna, Lybeck;  Advisor: -;  Co-Author: - (2023)

    Sedation and analgesia are recommended during targeted temperature management (TTM) after cardiac arrest, but there are few data to provide guidance on dosing to bedside clinicians. We evaluated differences in patient-level sedation and analgesia dosing in an international multicenter TTM trial to better characterize current practice and clinically important outcomes.

  • Authors: Tobias, Dust; Maximilian J., Hartel; Julian-Elias, Henneberg;  Advisor: -;  Co-Author: - (2023)

    Tibial plateau fractures continue to be a challenging task in clinical practice and current outcomes seem to provide the potential for further improvement. Especially presurgical understanding of the orientation of fracture lines and fracture severity is an essential key to sufficient surgical treatment. The object of this study was to evaluate the reliability of modern axial CT-based classification systems for tibial plateau fractures. In addition, the diagnostic-added value of 3D printing on the classification systems was investigated.