Journal of emergency nursing : JEN : official publication of the Emergency Department Nurses Association
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Syncope is a common presenting symptom to emergency departments, but its evaluation and initial management can be challenging for ED practitioners and particularly urgent in the presence of high-risk features that increase the likelihood of cardiac etiology. Even after thorough clinical evaluation, syncope may remain unexplained. ⋯ In this article, evidence-informed strategies are outlined to approach the diagnosis of syncope and provide an overview of syncope clinical decision rules and shared decision-making. By incorporating risk stratification and shared decision-making into syncope care, practitioners can more confidently engage patients and families in disposition decisions to organize appropriate outpatient and follow-up care, observation, or admission.
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Multicenter Study
Time-to-Treatment and Its Association With Complications and Mortality Rate in Patients With Acute Myocardial Infarction: A Prospective Cohort Study.
Time-to-treatment is one of the most important factors affecting the complications and mortality rate in patients with acute myocardial infarction. The purpose of this study was to determine time-to-treatment and its association with complications and mortality rates in patients with acute myocardial infarction in selected hospitals in Zanjan, Iran. ⋯ Hypertension, smoking history, and delay in treatment time were highly associated with the occurrence of heart failure and mortality. Therefore, in Iranian society, education on primary and secondary prevention of myocardial infarction is recommended to reduce patient mortality.
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Multicenter Study
Improving ED Emergency Severity Index Acuity Assignment Using Machine Learning and Clinical Natural Language Processing.
Triage is critical to mitigating the effect of increased volume by determining patient acuity, need for resources, and establishing acuity-based patient prioritization. The purpose of this retrospective study was to determine whether historical EHR data can be used with clinical natural language processing and machine learning algorithms (KATE) to produce accurate ESI predictive models. ⋯ KATE provides a triage acuity assignment more accurate than the triage nurses in this study sample. KATE operates independently of contextual factors, unaffected by the external pressures that can cause under triage and may mitigate biases that can negatively affect triage accuracy. Future research should focus on the impact of KATE providing feedback to triage nurses in real time, on mortality and morbidity, ED throughput, resource optimization, and nursing outcomes.
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In the emergency department, troponin assays are commonly used and essential in the evaluation of chest pain and diagnosis of acute coronary syndrome. This study was designed to assess the potential impact of implementing point-of-care troponin testing by comparing the time to point-of-care laboratory result and time to conventional laboratory result. ⋯ Point-of-care troponin testing provided results in a median time 29 minutes quicker than the conventional troponin assay. This result is statistically significant and has the potential to greatly improve time to disposition in all patients with chest pain requiring a troponin assay.
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Comparative Study
Cardiopulmonary Resuscitation Feedback: A Comparison of Device-Measured and Self-Assessed Chest Compression Quality.
High-quality cardiopulmonary resuscitation is the foundation of cardiac arrest care. Guidelines specify chest compression depth, recoil, and rate, but providers often fail to achieve these targets. Furthermore, providers are largely unable assess the quality of their own or other peoples' chest compressions. Chest compression feedback devices can improve chest compression quality; their use is endorsed internationally, but they remain largely absent in clinical care. This article analyzes preclinical data collected during a quality improvement project. It describes provider demographics and perceptions about their chest compression quality and correlates them to measured chest compression quality, compares clinician perception of chest compressions to objective measures, and describes the effect of feedback on compression quality. ⋯ Our findings suggest that participants' demographics were not correlated with chest compression quality and that providers cannot reliably assess chest compression quality. The data also demonstrate that with minimal training, feedback can significantly improve chest compression quality.