scholarly journals Pneumomediastinum following Crystal Use: A Report of Two Cases

2016 ◽  
Vol 2016 ◽  
pp. 1-3
Author(s):  
Samiramis Pourmotabed ◽  
Mohammad Jalili
Keyword(s):  
Emergency Department ◽  
Chest Pain ◽  
Neck Pain ◽  
Surgical Intervention ◽  
The Other ◽  
Acute Complications

Crystal is a synthetic substance with an increasing rate of abuse. It may cause patients to present to the emergency department because of its acute complications. We depict two cases of pneumomediastinum following inhalation of crystal. Both cases had used crystal for recreational purposes. In one case, a young man presenting to the ED with the retrosternal chest pain and neck pain was diagnosed to have pneumomediastinum and pneumopericardium. The other patient presenting with dyspnea and chest pain was shown to have collection of air within mediastinum. Both patients underwent a series of diagnostic evaluations and, after a course of observation, were discharged without a surgical intervention. Patients with chest pain following inhalation of crystal may suffer from this complication.

scholarly journals Using Machine Learning to Predict the Requirement for Revascularization in Patients with Chest Pain in the Emergency Department

2021 ◽  
Author(s):  
Zhichang Zheng ◽  
Nian Wang ◽  
Bo Jiang ◽  
Chunpeng Ma ◽  
Hui Ai ◽  
...  
Keyword(s):  
Machine Learning ◽  
Coronary Artery Disease ◽  
Emergency Department ◽  
Chest Pain ◽  
Area Under The Curve ◽  
Machine Learning Algorithms ◽  
The Other ◽  
Linear Discriminant ◽  
Artery Disease ◽  
Grace Score

Abstract Background: The study aimed to use machine learning algorithms to predict the need for revascularization in patients presenting with chest pain to the emergency department.Methods: We obtained data from 581 patients with chest pain, 264 who underwent revascularization, and the other 317 were treated with medication alone at 3 months. Using standard algorithms, linear discriminant analysis, and standard algorithms, we analyzed 41 features relevant to coronary artery disease (CAD). Results: We identified seven robust predictive features. The combination of these predictors gave an area under the curve (AUC) of 0.830 to predict the need for revascularization. By contrast, the GRACE score gave an AUC of 0.68.Conclusions: This machine learning-based approach predicts the need for revascularization in patients with CAD.

Impact on the Care of the Emergency Department Chest Pain Patient from the Chest Pain Evaluation Registry (CHEPER) Study

1997 ◽  
Vol 80 (5) ◽  
pp. 563-568 ◽  
Author(s):  
Louis G Graff ◽  
John Dallara ◽  
Michael A Ross ◽  
Anthony J Joseph ◽  
James Itzcovitz ◽  
...  
Keyword(s):  
Emergency Department ◽  
Chest Pain ◽  
Pain Patient ◽  
Pain Evaluation ◽  
Chest Pain Patient

scholarly journals Predictors of Urgent Cancer Care Clinic and Emergency Department Visits for Individuals Diagnosed with Cancer

2021 ◽  
Vol 28 (3) ◽  
pp. 1773-1789
Author(s):  
Kathleen Decker ◽  
Pascal Lambert ◽  
Katie Galloway ◽  
Oliver Bucher ◽  
Marshall Pitz ◽  
...  
Keyword(s):  
Emergency Department ◽  
Mixed Models ◽  
Cancer Care ◽  
Median Number ◽  
Emergency Department Visits ◽  
Planning Service ◽  
Care Clinic ◽  
Future Studies ◽  
Acute Complications ◽  
Ed Visits

In 2013, CancerCare Manitoba (CCMB) launched an urgent cancer care clinic (UCC) to meet the needs of individuals diagnosed with cancer experiencing acute complications of cancer or its treatment. This retrospective cohort study compared the characteristics of individuals diagnosed with cancer that visited the UCC to those who visited an emergency department (ED) and determined predictors of use. Multivariable logistic mixed models were run to predict an individual’s likelihood of visiting the UCC or an ED. Scaled Brier scores were calculated to determine how greatly each predictor impacted UCC or ED use. We found that UCC visits increased up to 4 months after eligibility to visit and then decreased. ED visits were highest immediately after eligibility and then decreased. The median number of hours between triage and discharge was 2 h for UCC visits and 9 h for ED visits. Chemotherapy had the strongest association with UCC visits, whereas ED visits prior to diagnosis had the strongest association with ED visits. Variables related to socioeconomic status were less strongly associated with UCC or ED visits. Future studies would be beneficial to planning service delivery and improving clinical outcomes and patient satisfaction.

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