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    Airway mucus is a highly specialised secretory fluid which functions as a physical and immunological barrier to pathogens whilst lubricating the airways and humifying atmospheric air. Dysfunction is common during critical illness and is characterised by changes in production rate, chemical composition, physical properties, and inflammatory phenotype. Mucociliary clearance, which is determined in part by mucus characteristics and in part by ciliary function, is also dysfunctional in critical illness via disease related and iatrogenic mechanisms. The consequences of mucus dysfunction are potentially devastating, contributing to prolonged ventilator dependency, increased risk of secondary pneumonia, and worsened lung injury. Mucolytic therapies are designed to decrease viscosity, improve expectoration/suctioning, and thereby promote mucus removal. Mucolytics, including hypertonic saline, dornase alfa/rhDNase, nebulised heparin, carbocisteine/N-Acetyl cysteine, are commonly used in critica

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    • A Review published in @Crit_Care summarises the physiology and pathophysiology of mucus and the existing evidence for the use of mucolytics in critically ill patients. https://t.co/0zbSEXtvkw

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    Background Head computed tomography (CT) is a routinely performed examination to assess the intracranial condition of patients with traumatic brain injury (TBI), and radiological findings can help to indicate the presence of intracranial hypertension. At present, the prediction of intracranial hypertension is mainly based on manual discrimination of imaging characteristics. The aim of our study was to establish a model to predict intracranial hypertension via fully automatic CT image segmentation, rigorous radiomic feature extraction and reliable model development and validation. Methods Patients admitted to the intensive care unit (ICU) who underwent intracranial pressure (ICP) monitoring were included in our study. For the development cohort, we extracted data from the CENTER-TBI database and randomly divided the data into a training group and a test group. For the validation cohort, we extracted data from patients admitted to the Shanghai General Hospital. Patients whose initial rec

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    • #CritCare #OpenAccess Development and validation of intracranial hypertension prediction models based on radiomic features in patients with traumatic brain injury Read the full article: https://t.co/Szq1Pb41dY @jlvincen @ISICEM #FOAMed #FOAMcc https://t.co/V7bSqCUodl

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    Background Sepsis gene-expression sub-phenotypes with prognostic and theranostic potential have been discovered. These have been identified retrospectively and have not been translated to methods that could be deployed at the bedside. We aimed to identify subgroups of septic patients at high-risk of poor outcome, using a rapid, multiplex RNA-based test. Methods Adults with sepsis, in the intensive care unit (ICU) were recruited from 17 sites in the United Kingdom, Sweden and France. Blood was collected at days 2–5 (S1), 6–8 (S2) and 13–15 (S3) after ICU admission and analyzed centrally. Patients were assigned into ‘high’ and ‘low’ risk groups using two models previously developed for the Immune-Profiling Panel prototype on the bioMérieux FilmArray® system. Results 357 patients were recruited (March 2021–November 2022). 69% were male with a median age of 67 years, APACHE II score of 21 and a 30% 90-day mortality rate. The proportions of high-risk patients decreased over the three sampli

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    • #CritCare #OpenAccess An international observational study validating gene-expression sepsis immune subgroups Read the full article: https://t.co/fiHl8BFMK3 @jlvincen @ISICEM #FOAMed #FOAMcc https://t.co/rYAajRsYnp

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    Venous return is the flow of blood from the systemic venous network towards the right heart. At steady state, venous return equals cardiac output, as the venous and arterial systems operate in series. However, unlike the arterial one, the venous network is a capacitive system with a high compliance. It includes a part of unstressed blood, which is a reservoir that can be recruited via sympathetic endogenous or exogenous stimulation. Guyton’s model describes the three determinants of venous return: the mean systemic filling pressure, the right atrial pressure and the resistance to venous return. Recently, new methods have been developed to explore such determinants at the bedside. In this narrative review, after a reminder about Guyton’s model and current methods used to investigate it, we emphasize how Guyton’s physiology helps understand the effects on cardiac output of common treatments used in critically ill patients.

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    • RT @NephroP: Good article to read for those following @khaycock2 ‘s masterclass. 🔗 https://t.co/ZRQD0cuutP https://t.co/DiEtzqrX1k

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    Awake prone positioning (APP) has gained prominence as a therapeutic intervention for acute respiratory distress syndrome (ARDS), particularly in COVID-19-related respiratory failure due to its proven survival benefits [1, 2]. However, the clinical applicability of APP in non-COVID-19 ARDS populations remains controversial, with patient tolerance and heterogeneous lung recruitment responses posing significant challenges [3]. To address these limitations, electromagnetic impedance tomography (EIT)—a

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    • #CritCare #OpenAccess Electrical impedance tomography-guided the optimal awake prone position in a moderate ARDS patient Read the full article: https://t.co/TsxFgGuNAO @jlvincen @ISICEM #FOAMed #FOAMcc https://t.co/b763oRfTIR