Introduction: Perioperative immediate hypersensitivity (POH) is a rare complication estimated at 1/10,000 anaesthesia. The objective of our study was to investigate the risk factors of POH over a 6-year period in a French teaching hospital.
Materials And Methods: A single-centre retrospective descriptive epidemiological study of patients treated in the operating room from January 2016 to December 2021 with and without POH.
Critical care clinicians are trained to analyze simultaneously multiple physiological parameters to predict critical conditions such as hemodynamic instability. We developed the Multi-task Learning Physiological Deep Learner (MTL-PDL), a deep learning algorithm that predicts simultaneously the mean arterial pressure (MAP) and the heart rate (HR). In an external validation dataset, our model exhibited very good calibration: R of 0.
View Article and Find Full Text PDFBackground: Acute hypotensive episodes (AHE), defined as a drop in the mean arterial pressure (MAP) <65 mm Hg lasting at least 5 consecutive minutes, are among the most critical events in the intensive care unit (ICU). They are known to be associated with adverse outcome in critically ill patients. AHE prediction is of prime interest because it could allow for treatment adjustment to predict or shorten AHE.
View Article and Find Full Text PDFObjectives: Adrenomedullin has vascular properties and elevated plasma adrenomedullin levels were detected in sepsis. We assessed, in septic and nonseptic ICU patients, the relation between circulating adrenomedullin, the need for organ support and mortality, using an assay of bioactive adrenomedullin.
Design: Prospective multicenter observational cohort study.