American Journal of Emergency Medicine最新文献

Background

As e-scooters have become common modes of transportations in urban environments, riding e-scooters has become a common mechanism of injury. This study examines the relationship between when riders are using these devices (i.e. day of week, and time of the day) and injury incidence based on data from a large U.S. city.

Methods

This study is a retrospective cohort study of patients in the trauma registry at a level one trauma center. Registry data were combined with a publicly available dataset of all e-scooter trips that occurred during the study period. Frequency of injuries and trips were analyzed using ANOVA. Poisson regressions were conducted to calculate incidence rate ratios associated with injury incidence by day of the week and time of day.

Results

A total of 194 injured e-scooter patients were admitted to the trauma center during the study period. Patients were injured most often on Fridays (21%) and most often presented between 18:00–23:59 (38%). E-Scooter riders in general, most often rode on Saturdays (20%) and between 12:00–17:59 (44%). There was no significant relationship between day of week and injury. Riders in the early morning (IRR = 16.7, p < .001 95% CI: 10.5, 26.6), afternoon (IRR = 2.0, p = .01 95% CI: 1.2, 3.4), and evening (IRR = 3.7, p < .001 95% CI: 2.3, 6.2) had significant increased injury incidence compared to morning riders.

Conclusion

E-Scooter injury incidence varies by the time of day. The time of day in which a person rides an e-scooter can have a significant impact on the likelihood that the person will sustain an injury.

Purpose

This study had two main goals: to determine which rhabdomyolysis patients need haemodialysis; and to highlight the significance of blood gas parameters, particularly base excess, as predictors of the need for haemodialysis.

Method

A total of 270 patients were included in this multicentre, retrospective study. Among the patients who were transferred in from the earthquake region and developed rhabdomyolysis, those with creatine kinase (CK) values >1000 U/L were included in our study. The need for renal replacement in these patients was determined via laboratory tests, urine output monitoring and clinical follow-up.

Findings

A total of 270 patients were included in our study. Univariate and multivariate regression analyses of laboratory parameters were performed to identify predictors of HD treatment. According to the univariate regression analysis, BE, HCO3, creatinine, CK, lactate, alanine transaminase (ALT) and aspartate transaminase (AST) levels  were found to be significantly associated with receiving HD treatment. According to multivariate regression analysis, only BE (p = 0.003) was found to be a significant predictor of HD treatment. ROC analysis revealed that the optimal cutoff value for BE was −2.6; at this value, the sensitivity and specificity of BE for predicting HD treatment were 89% and 77.1%, respectively (AUC: 0.912; 95% CI: 0.872–0.943; p < 0.001).

Conclusion

Base excess is an effective predictor of the need for haemodialysis in patients with crush-related injuries that cause rhabdomyolysis and in patients who develop acute renal failure due to elevated CK.

Artificial intelligence (AI) is becoming increasingly integral in clinical practice, such as during imaging tasks associated with the diagnosis and evaluation of blunt chest trauma (BCT). Due to significant advances in imaging-based deep learning, recent studies have demonstrated the efficacy of AI in the diagnosis of BCT, with a focus on rib fractures, pulmonary contusion, hemopneumothorax and others, demonstrating significant clinical progress. However, the complicated nature of BCT presents challenges in providing a comprehensive diagnosis and prognostic evaluation, and current deep learning research concentrates on specific clinical contexts, limiting its utility in addressing BCT intricacies. Here, we provide a review of the available evidence surrounding the potential utility of AI in BCT, and additionally identify the challenges impeding its development. This review offers insights on how to optimize the role of AI in the diagnostic evaluation of BCT, which can ultimately enhance patient care and outcomes in this critical clinical domain.

Background

Chest X-ray, the established standard of confirming endotracheal tube (ETT) position, has important drawbacks including radiation exposure. Point-of-care airway ultrasound, which has been insufficiently studied in children, can overcome these problems.

Materials and methods

This was a prospective cross-sectional study done on children aged 2 months to 17 years undergoing intubation with cuffed ETT in the PICU. The ETT cuff was filled with saline and three ultrasonographic techniques were used– 1) Suprasternal (SS) method 2) Cricoid (CC) metho and 3) Tracheal ring (TR) method. Position of the ETT as determined by ultrasound and X-ray were compared. The main outcomes were sensitivity, specificity, and area under curve (AUC) for ultrasound-based methods vs. X-ray. For the TR method, concordance between the X-ray and ultrasound categories were taken.

Results

Total 62 patients were enrolled. The sensitivity and specificity of SS method were 71% (95% CI: 57–83%) and 100% (40–100%). The CC distance method had an AUC of 0.94 (95% CI: 0.86, 1.0). In the TR method, 98% of correct position on X-ray were correctly classified by USG. The agreement between X-ray and ultrasound categories with the cuff between the first and third tracheal rings, was very good [kappa (95% CI): 0.87 (0.70, 1.00), p ≤0.001)].

Conclusion

Bedside ultrasound is a good method to confirm ETT depth in children. The tracheal ring method had the best diagnostic accuracy and is easy to perform. The new method using cricoid cuff distance needs further validation in different ICU settings.

Introduction

Headaches are a common condition seen in the Emergency Department (ED), with numerous trials focused on improving care for these patients. However, there is limited recent large-scale, robust data available on the incidence, admission rates, evaluation, and treatment in the ED setting.

Methods

This was a cross-sectional study of ED presentations for headache from 1/1/2016 to 12/31/2023 using the Epic Cosmos national database. All ED visits with headache-relevant ICD-10 coding were included. Outcomes included percentage of total ED visits, admission rates, computed tomography (CT) brain imaging, lumbar puncture (LP) performance, and medication administration. Medications were analyzed by class (NSAIDs, acetaminophen, dopamine antagonists, diphenhydramine, opioids, intravenous fluids, caffeine, and magnesium sulfate). Subgroup analyses were performed by specific types of dopamine antagonists.

Results

Of 188,482,644 ED encounters, 6,007,090 (3.2%) were due to headache. Of these, 246,082 (4.1%) were admitted. Nearly half (46.6%) of patients received at least one CT. Rates of CT head without contrast increased from 38.2% to 47.9% over time, while rates of CT angiography rose from 2.8% to 10.2%. 1.4% of all patients received an LP, with rates decreasing from 1.8% to 1.1% over time. The most common medication was NSAIDs (45.3%), followed by dopamine antagonists (44.8%), diphenhydramine (38.1%), acetaminophen (24.8%), opioids (16.3%), magnesium sulfate (0.2%), and caffeine (0.1%). 50.8% of patients received intravenous fluids. Rates of opioids declined over time, while dopamine antagonists, acetaminophen, and intravenous fluid administration increased.

Conclusion

Headaches represent a common reason for ED presentation, with approximately 4% of patients being admitted. Imaging is frequently performed, with rises in CT without contrast and CT angiography rates over time, while LP rates have been declining. NSAIDs remain the most common medication given, with opioids declining over time while non-opioid agents such as dopamine antagonists have increased. These findings can help inform health policy initiatives, such as those focused on radiologic imaging and evidence-based medication administration.

Objective

Ondansetron, a 5HT3 receptor antagonist, is commonly used in emergency departments to treat nausea and vomiting. In 2011, the Food and Drug Administration (FDA) issued a warning that this medicine may cause QT prolongation, potentially leading to deadly arrhythmias. The objective of this study was to characterize the QT interval prolongation associated with ondansetron use in the Emergency Department.

Methods

This was a prospective, observational cohort study of adult patients who presented to the emergency department during a one-year period and were treated with intravenous ondansetron. We investigated the QT prolongation associated with dosages. ECGs were obtained before the medication and 5, 15, and 30 minutes after IV drug administration. Every QT measurement was recorded and compared to the zero point. The severity of drug-induced QT prolongation was determined according to the recommendations of the International Conference on Compliance (ICH). QTc prolongation was categorized as ‘negligible’ (<5 ms), ‘significant’ (>20 ms), ‘potential concern’ (>30 ms), or ‘definitely worrying’ (>60 ms).

Results

Of the 435 patients enrolled in the study, 60% (261 patients) were female and the mean age was 39 (±18). The QT prolongation peaked at the fifth minute and remained consistent at the fifteenth and thirty-first minutes. The maximum prolongation of the mean QT duration occured at the fifth minute (7.9 ± 18.1 ms). No patient revealed any problems with cardiac conduction. The prolonged QT interval was not related to the dose of ondansetron, but QT measurements were higher in the 30th minute in patients treated with 8 mg of ondansetron. The effect of ondansetron administration on QT prolongation was found to be above the ‘negligible’ but below the ‘significant’ value, according to the ICH recommendations.

Discussion

In this study, QT prolongation due to ondansetron administration was below the ‘important’ value according to the recommendations of the ICH. No cases of cardiac arrhythmia were reported in any of the partients. Thus, routine ECG monitoring in patients given ondansetron due to the risk of QTc prolongation does not seem cost-effective when evaluated together with additional factors such as its negative impact on emergency patient flow, waste of personnel and time, and increase in healthcare costs. In the absence of a known risk of cardiac arrhythmia, IV administration of 4 mg and 8 mg of ondansetron doses no risk of QT prolongation in the emergency population.

The number of critically ill patients that present to emergency departments across the world continues to rise. In fact, the proportion of critically ill patients in emergency departments is now higher than pre-COVID-19 pandemic levels. [1] The emergency physician (EP) is typically the first physician to evaluate and resuscitate the critically ill patient. Given the continued shortage of intensive care unit (ICU) beds, persistent staff shortages, and overall inefficient hospital throughput, EPs are often tasked with providing intensive care to these patients long beyond the initial resuscitation phase. Prolonged boarding of critically ill patients in the ED is associated with increased ICU and hospital length of stay, increased adverse events, ED staff burnout, decreased patient and family satisfaction, and, most importantly, increased mortality. [2–5]. As such, it is imperative for the EP to be knowledgeable about recent literature in resuscitation and critical care medicine, so that critically ill ED patients can continue to receive the best, most up-to-date evidence-based care. This review summarizes important articles published in 2023 that pertain to the resuscitation and management of select critically ill ED patients. Topics included in this article include cardiac arrest, post-cardiac arrest care, septic shock, rapid sequence intubation, severe pneumonia, transfusions, trauma, and critical procedures.