Critical care medicine
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Critical care medicine · Jul 2024
Pragmatic Clinical TrialReal-Time Machine Learning Alerts to Prevent Escalation of Care: A Nonrandomized Clustered Pragmatic Clinical Trial.
Machine learning algorithms can outperform older methods in predicting clinical deterioration, but rigorous prospective data on their real-world efficacy are limited. We hypothesized that real-time machine learning generated alerts sent directly to front-line providers would reduce escalations. ⋯ Real-time machine learning alerts do not reduce the rate of escalation but may reduce mortality.
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Critical care medicine · Jul 2024
Multicenter StudyReal-World Implications of Updated Surviving Sepsis Campaign Antibiotic Timing Recommendations.
To evaluate real-world implications of updated Surviving Sepsis Campaign (SSC) recommendations for antibiotic timing. ⋯ These data support recently updated SSC recommendations to align antibiotic timing targets with risk and probability stratifications. Our results provide empirical support that clinicians and hospitals should not be held to 1-hour targets for patients without shock and with only possible sepsis.
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Critical care medicine · Jul 2024
Meta AnalysisAntipsychotics in the Treatment of Delirium in Critically Ill Patients: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.
To conduct a systematic review and meta-analysis assessing whether the use of antipsychotic medications in critically ill adult patients with delirium impacts patient-important outcomes. ⋯ In conclusion, our systematic review and meta-analysis demonstrated with moderate certainty that there is no difference in delirium- or coma-free days when delirious critically ill adults are treated with antipsychotic medications. Further studies in the subset of patients with hyperactive delirium may be of benefit.