Strategies for the management and prevention of withdrawal syndrome in critically ill pediatric patients: a systematic review.

Objective: To verify strategies for the prevention and treatment of abstinence syndrome in a pediatric intensive care unit.

Methods: This is a systematic review in the PubMed database®, Lilacs, Embase, Web of Science, Cochrane, Cinahl, Cochrane Database Systematic Review and CENTRAL. A three-step search strategy was used for this review, and the protocol was approved in PROSPERO (CRD42021274670).

Beyond technology: Can artificial intelligence support clinical decisions in the prediction of sepsis?

Objective: To analyze the critical alarms predictors of clinical deterioration/sepsis for clinical decision making in patients admitted to a reference hospital complex.

Methods: An observational retrospective cohort study. The Machine Learning (ML) tool, Robot Laura®, scores changes in vital parameters and lab tests, classifying them by severity.