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Arieli has previously demonstrated that the exposure metric K could be used to predict pulmonary oxygen toxicity (POT) based on changes in Vital Capacity (VC). Our previous findings indicate that the Equivalent Surface Oxygen Time (ESOT) allows the estimation of POT without loss of accuracy compared to K. In this work, we have further investigated POT recovery.

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The administration of surfactant aerosol therapy to preterm infants receiving continuous positive airway pressure (CPAP) respiratory support is highly challenging due to small flow passages, relatively high ventilation flow rates, rapid breathing and small inhalation volumes. To overcome these challenges, the objective of this study was to implement a validated computational fluid dynamics (CFD) model and develop an overlay nasal prong interface design for use with CPAP respiratory support that enables high efficiency powder aerosol delivery to the lungs of preterm infants when needed (i.e.

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Background: Flail chest (FC) injuries are segmental osseous injuries of the thorax that typically result from high-energy blunt trauma and regularly occur in multiple trauma (MT) patients. FC injuries are associated with paradoxical chest wall movements and, thus, have a high risk of respiratory insufficiency or even death. An increasing number of studies recommend an early surgical stabilization of FC injuries, but a definite trigger that would indicate surgery has, thus far, not been identified.

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Modified lung ultrasound score for improved monitoring of pARDS on ECMO, a case report.

BMC Pediatr

January 2025

Division of Neonatology, Pediatric Intensive Care & Neuropediatrics, Department of Pediatrics and Adolescent Medicine, Comprehensive Center for Pediatrics, Medical University of Vienna, Vienna, Austria.

Background: Lung ultrasound scoring is a validated tool for assessing lung pathology. However, existing scoring systems typically overlook the size of consolidations, limiting their accuracy in certain clinical scenarios.

Case Presentation: We describe the first application of adding the maximum consolidation depth in centimeters (cm) to the conventional score.

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Purpose: Patients with advanced non-small cell lung cancer (NSCLC) have varying responses to immunotherapy, but there are no reliable, accepted biomarkers to accurately predict its therapeutic efficacy. The present study aimed to construct individualized models through automatic machine learning (autoML) to predict the efficacy of immunotherapy in patients with inoperable advanced NSCLC.

Methods: A total of 63 eligible participants were included and randomized into training and validation groups.

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