The American journal of emergency medicine
-
The emergency department (ED) triage process serves as a crucial first step for patients seeking acute care, This initial assessment holds crucial implications for patient survival and prognosis. In this study, a systematic review of the existing literature was performed to investigate the performance of machine learning (ML) models in recognizing and predicting the need for intensive care among ED patients. ⋯ ML models have demonstrated good performance in identifying and predicting critically ill patients in ED triage. However, because of the limited number of studies on each model, further high-quality prospective research is needed to validate these findings.
-
Evidence on the efficacy of sodium bicarbonate (SB) in out-of-hospital cardiac arrest (OHCA) is controversial and generally of low quality. A systematic review and meta-analysis was performed to evaluate the effect of SB in OHCA patients based on randomized controlled trial (RCT) and propensity score matching (PSM) cohort studies. ⋯ In patients with OHCA, sodium bicarbonate administration was associated neither with short-term survival rate nor with long-term survival rate, it may even worsen the long-term survival.
-
To examine whether a fluid resuscitation strategy based on guidelines (at least 30 mL/kg IV crystalloids) vs. a restrictive approach with <30 mL/kg within three hours affects in-hospital mortality in patients with sepsis and a history of heart failure (HF). ⋯ Restrictive fluid resuscitation increased the risk of in-hospital mortality in HF patients with sepsis. More rigorous research is required to determine the optimal fluid resuscitation strategy for this population.