Prediction of successful weaning from renal replacement therapy in critically ill patients based on machine learning
CONCLUSION: High-risk factors for unsuccessful RRT weaning in severe AKI patients include prolonged RRT duration. Machine learning prediction models, when compared to models based on multivariate logistic regression using these indicators, offer distinct advantages in predictive accuracy.PMID:38416516 | DOI:10.1080/0886022X.2024.2319329 (Source: Renal Failure)
Source: Renal Failure - February 28, 2024 Category: Urology & Nephrology Authors: Qiqiang Liang Xin Xu Shuo Ding Jin Wu Man Huang Source Type: research
Comparative effectiveness of empirical antibiotic treatments in methicillin-susceptible Staphylococcus aureus infective endocarditis: a post hoc analysis of a prospective French cohort study
In most cases, treatment of infective endocarditis (IE) is empirical until the causative pathogens are identified, with two major important points. First, empirical antimicrobial therapy (EAT) is the cornerstone of sepsis therapy and any delay in time to appropriate antimicrobial therapy increases sepsis mortality, particularly in cases of septic shock [1]. Second, since Staphylococcus aureus is the leading cause of IE and is associated with higher mortality [2,3], it is crucial that EAT for infective endocarditis includes drugs that have optimal anti-staphylococcal activity [4,5]. (Source: International Journal of Infectious Diseases)
Source: International Journal of Infectious Diseases - February 28, 2024 Category: Infectious Diseases Authors: Rapha ël Lecomte, Colin Deschanvres, Alexis Bourreau, Louise Ruffier d'Epenoux, Paul Le Turnier, Benjamin Gaborit, Marie Chauveau, Magali Michel, Thierry Le Tourneau, Pascale Bémer, Stéphane Corvec, David Boutoille Source Type: research
Shenfu injection as treatment for critical illness: a narrative review of clinical trials
CONCLUSIONS: Based on the current body of literature, further research-especially multi-center randomized, double-blind trials with detailed reporting of all methods and results according to international guidelines-is needed to evaluate whether SFI is a useful addition to existing treatments for these conditions.PMID:38410595 | PMC:PMC10894405 | DOI:10.21037/jtd-23-105 (Source: Journal of Thoracic Disease)
Source: Journal of Thoracic Disease - February 27, 2024 Category: Respiratory Medicine Authors: Noa Berlin Aditya C Shekhar Katherine M Berg Source Type: research
