Latest Articles
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Multicenter Study
Scale to predict risk for refractory septic shock based on a hybrid approach using machine learning and regression modeling.
To develop a scale to predict refractory septic shock (SS) based on clinical variables recorded during initial evaluations of patients. ⋯ The RSSS had adequate diagnostic accuracy in multiple cohorts of patients diagnosed in the ED and ICU.
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Journal of critical care · Feb 2025
Multicenter Study Observational StudyClinical phenotyping of septic shock with latent profile analysis: A retrospective multicenter study.
Septic shock (SS) is a highly fatal and heterogeneous syndrome. Identifying distinct clinical phenotypes provides valuable insights into the underlying pathophysiological mechanisms and may help to propose precise clinical management strategies. ⋯ The individualized identification of phenotypes is well suited to clinical practice. The three SS phenotypes differed significantly in pathophysiological and clinical outcomes, which are crucial for informing management decisions and prognosis.
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Journal of critical care · Feb 2025
Multicenter StudyThe interplay between organizational culture and burnout among ICU professionals: A cross-sectional multicenter study.
Organizational culture is considered a protective factor against burnout among ICU professionals. The aim of this study is to study the association between organizational culture as a potential antecedent to previously found mediating risk factors for burnout, namely, work-life balance and moral distress. ⋯ Multiple aspects of organizational culture reduce burnout among ICU professionals in a largely indirect manner, via moral distress and work-life balance. Improving organizational culture can mitigate burnout symptoms among ICU clinicians.
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Journal of critical care · Feb 2025
Multicenter StudyPrognosis of major bleeding based on residual variables and machine learning for critical patients with upper gastrointestinal bleeding: A multicenter study.
Upper gastrointestinal bleeding (UGIB) is a significant cause of morbidity and mortality worldwide. This study investigates the use of residual variables and machine learning (ML) models for predicting major bleeding in patients with severe UGIB after their first intensive care unit (ICU) admission. ⋯ ML models using residuals improved the accuracy and interpretability in predicting major bleeding during ICU admission in patients with UGIB. These interpretable features may facilitate the early identification and management of high-risk patients, thereby improving hemodynamic stability and outcomes.
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Randomized Controlled Trial Multicenter Study
Tirzepatide for Heart Failure with Preserved Ejection Fraction and Obesity.
Obesity increases the risk of heart failure with preserved ejection fraction. Tirzepatide, a long-acting agonist of glucose-dependent insulinotropic polypeptide and glucagon-like peptide-1 receptors, causes considerable weight loss, but data are lacking with respect to its effects on cardiovascular outcomes. ⋯ Treatment with tirzepatide led to a lower risk of a composite of death from cardiovascular causes or worsening heart failure than placebo and improved health status in patients with heart failure with preserved ejection fraction and obesity. (Funded by Eli Lilly; SUMMIT ClinicalTrials.gov number, NCT04847557.).