Articles: emergency-department.
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There is increasing interest in harnessing artificial intelligence to virtually triage patients seeking care. The objective was to examine the reliability of a virtual machine learning algorithm to remotely predict acuity scores for patients seeking emergency department (ED) care by applying the algorithm to retrospective ED data. ⋯ This machine learning algorithm needs further refinement before being safely implemented for patient use.
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Pediatric emergency care · Apr 2024
Development, Implementation, and Provider Perception of Standardized Critical Event Debriefing in a Pediatric Emergency Department.
Hot debriefings are communications among team members occurring shortly after an event. They have been shown to improve team performance and communication. Best practice guidelines encourage hot debriefings, but these are often not routinely performed. We aim to describe the development and implementation of a multidisciplinary hot debriefing process in our pediatric emergency department (ED), and its impact on hot debriefing completion and provider perceptions. ⋯ Implementation of a protocol for physician or charge nurse-led hot debriefings in our pediatric ED resulted in increased completion, perceived barrier reduction, and a uniform approach to address identified issues. Pediatric EDs should consider adoption of a hot debriefing protocol given these benefits.
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To develop and internally validate a multivariable logistic regression model (LRM) for the prediction of the probability of 1-year readmission to the emergency department (ED) in patients with acute alcohol intoxication (AAI). We developed and internally validated the LRM on a previously analyzed retrospective cohort of 3304 patients with AAI admitted to the ED of the Sant'Orsola-Malpighi Hospital (Bologna, Italy). The benchmark LRM employed readmission to the same ED for AAI within 1 year as the binary outcome, age as a continuous predictor, and sex, alcohol use disorder, substance use disorder, at least one previous admission for trauma, mental or behavioral disease, and homelessness as the binary predictors. ⋯ The reduced LRM had the following optimism-corrected metrics: scaled Brier score 17.0%, C-statistic 0.799 (95% CI 0.778 to 0.821), calibration in the large 0.000 (95% CI - 0.099 to 0.099), calibration slope 0.985 (95% CI 0.893 to 1.088), and an acceptably accurate calibration plot. An LRM based on sex, age, at least one previous admission for trauma, mental or behavioral disease, and homelessness can be used to estimate the probability of 1-year readmission to ED for AAI. To begin proving its clinical utility, this LRM should be validated in external cohorts.
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Transthoracic echocardiography (TTE) is an essential tool for risk-stratifying patients with pulmonary embolism (PE), but its availability is limited, often requiring hospitalization. Minimal research exists evaluating clinical and laboratory criteria to predict lack of abnormal TTE findings. ⋯ The PEACE (Pulmonary Embolism and Abnormal Cardiac Echocardiogram) criteria, composed of six variables, is highly effective in predicting abnormal TTE in patients with PE, potentially identifying who is safe for early discharge from the hospital.
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Postgraduate medicine · Apr 2024
Role of the systemic immune-inflammation index in predicting spontaneous stone passage in patients with renal colic.
Renal colic (RC) is one of the most frequent reasons for presentation to the emergency department (ED) and creates a high economic and medical burden. Management strategies for RC range from waiting for spontaneous passage to surgical intervention. However, factors determining spontaneous stone passage (SSP) are still poorly understood. Therefore, in this study, we aimed to investigate the role of the systemic immune-inflammatory index (SII) in predicting SSP. ⋯ Our findings showed that a low SII level was associated with SSP and could be used as a predictive marker of SSP as a more valuable parameter than NLR. SII and NLR, together with other indicators, are inflammatory markers that can be used in the clinical decision-making process for ureteral stone treatment.