Tag Archives: emergency department

The Use of Biomarkers Testing in Emergency Department

Sonia Luka1,2, Adela Golea2,3, Raluca Mihaela Tat1, Eugenia Maria Lupan Mureșan2,3, George Teo Voicescu2,3,4, Ștefan Cristian Vesa5, Maria Adriana Albu6, Daniela Ionescu7

1 Faculty of Medicine, Iuliu Hagieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania
2 Clinical Emergency County Hospital, Cluj-Napoca, Romania
3 Discipline of Emergency Medicine, Faculty of Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania
4 CRIMEDIM Center for Research and Training in Disaster Medicine, Humanitarian Aid and Global Health, Università del Piemonte Orientale, Novara, Italy
5 Discipline of Pharmacology, Toxicology and Clinical Pharmacology, Faculty of Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania
6 Department of Emergency Medicine and First Aid, “Carol Davila” University of Medicine and Pharmacy, Bucharest, Romania
7 Discipline of Anaesthesia and Intensive Care I, Faculty of Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania

DOI: 10.2478/jccm-2024-0041

Introduction: In the fast-paced environment of Emergency Departments (EDs), biomarkers are essential for the rapid diagnosis and management of critical conditions.
Aim of the study: This study evaluates the current clinical practice on key biomarkers in Romanian EDs, addressing the needs of emergency medicine physicians, and the challenges associated with biomarker testing.
Material and Methods: An online survey was sent to physicians working in ED to explore their perceptions, needs, and barriers regarding biomarkers, including Point-of-care (POC). Data was collected anonymously through an online platform and subsequently analyzed.
Results: This survey analyzed data from 168 completed responses, with 95.2% of respondents being specialists in emergency medicine. Procalcitonin and presepsin were most preferred for PoCT, while troponin and D-dimer were highly rated regardless of the testing method, reflecting their utility in sepsis and cardiovascular emergencies. Neuron-specific enolase, interleukin-6, and procalcitonin were the biomarkers considered needed.
Conclusions: The most frequently used biomarkers in ED were troponin, D-dimer, BNP/NT-proBNP, and procalcitonin. NSE, IL-6, and procalcitonin were the most recommended for future integration. High costs, limited availability, and false-positive concerns remain significant challenges in biomarker use.

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Using Machine Learning Techniques to Predict Hospital Admission at the Emergency Department

Georgios Feretzakis1,3, George Karlis2, Evangelos Loupelis1, Dimitris Kalles3, Rea Chatzikyriakou1, Nikolaos Trakas1, Eugenia Karakou1, Aikaterini Sakagianni1, Lazaros Tzelves1, Stavroula Petropoulou1, Aikaterini Tika1, Ilias Dalainas1, Vasileios Kaldis1

1 Sismanogleio General Hospital, Athens, Greece
2 Sotiria General Hospital of Chest Diseases of Athens, Athens, Greece
3 Hellenic Open University, Patras, Greece

DOI: 10.2478/jccm-2022-0003

Introduction: One of the most important tasks in the Emergency Department (ED) is to promptly identify the patients who will benefit from hospital admission. Machine Learning (ML) techniques show promise as diagnostic aids in healthcare.
Aim of the study: Our objective was to find an algorithm using ML techniques to assist clinical decision-making in the emergency setting.
Material and methods: We assessed the following features seeking to investigate their performance in predicting hospital admission: serum levels of Urea, Creatinine, Lactate Dehydrogenase, Creatine Kinase, C-Reactive Protein, Complete Blood Count with differential, Activated Partial Thromboplastin Time, DDimer, International Normalized Ratio, age, gender, triage disposition to ED unit and ambulance utilization. A total of 3,204 ED visits were analyzed.
Results: The proposed algorithms generated models which demonstrated acceptable performance in predicting hospital admission of ED patients. The range of F-measure and ROC Area values of all eight evaluated algorithms were [0.679-0.708] and [0.734-0.774], respectively. The main advantages of this tool include easy access, availability, yes/no result, and low cost. The clinical implications of our approach might facilitate a shift from traditional clinical decision-making to a more sophisticated model.
Conclusions: Developing robust prognostic models with the utilization of common biomarkers is a project that might shape the future of emergency medicine. Our findings warrant confirmation with implementation in pragmatic ED trials.

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Improving Clinical Performance of an Interprofessional Emergency Medical Team through a One-day Crisis Resource Management Training

Teodora Sorana Truța1, Cristian Marius Boeriu1, Marc Lazarovici2, Irina Ban3, Marius Petrișor1, Sanda-Maria Copotoiu1

1 University of Medicine and Pharmacy of Tîrgu Mureș, Street Gheorghe Marinescu 38, 540139 Tîrgu Mureș, Mureș, Romania
2 Institut für Notfallmedizin und Medizinmanagement – INM, Klinikum der Universität, Ludwig-Maximilians-Universität München, Schillestraße 53, 80336 München, Germany
3 Department of Medicine, University of Padova, Via V. Galluci, 13-35121, Padova, Italy

DOI: 10.2478/jccm-2018-0018

Introduction: Errors are frequent in health care and Emergency Departments are one of the riskiest areas due to frequent changes of team composition, complexity and variety of the cases and difficulties encountered in managing multiple patients. As the majority of clinical errors are the results of human factors and not technical in nature or due to the lack of knowledge, a training focused on these factors appears to be necessary. Crisis resource management (CRM), a tool that was developed initially by the aviation industry and then adopted by different medical specialties as anesthesia and emergency medicine, has been associated with decreased error rates.
The aim of the study: To assess whether a single day CRM training, combining didactic and simulation sessions, improves the clinical performance of an interprofessional emergency medical team.
Material and Methods: Seventy health professionals with different qualifications, working in an emergency department, were enrolled in the study. Twenty individual interprofessional teams were created. Each team was assessed before and after the training, through two in situ simulated exercises. The exercises were videotaped and were evaluated by two assessors who were blinded as to whether it was the initial or the final exercise. Objective measurement of clinical team performance was performed using a checklist that was designed for each scenario and included essential assessment items for the diagnosis and treatment of a critical patient, with the focus on key actions and decisions. The intervention consisted of a one-day training, combining didactic and simulation sessions, followed by instructor facilitated debriefing. All participants went through this training after the initial assessment exercises.
Results: An improvement was seen in most of the measured clinical parameters.
Conclusion: Our study supports the use of combined CRM training for improving the clinical performance of an interprofessional emergency team. Empirically this may improve the patient outcome.

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