Diagnostic Tool and Healthcare in Emergency Medicine

A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Clinical Diagnosis and Prognosis".

Deadline for manuscript submissions: 31 July 2025 | Viewed by 226

Special Issue Editor


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Guest Editor
Innovation, Research and Teaching Service (SABES-ASDAA), Teaching Hospital of the Paracelsus Medical Private University (PMU), Via A. Volta 5, 39049 Bolzano, Italy
Interests: triage; risk stratification; risk prediction; sepsis; infection; emergency medicine; chest pain

Special Issue Information

Dear Colleagues,

Emergency medicine is a dynamic and high-stakes field requiring swift decision making and precise strategies to ensure optimal patient outcomes. Recent advancements in diagnostic methods, risk stratification tools, and operational management models have transformed the approach to care delivery in the emergency department, addressing both clinical and logistical challenges. From innovative scoring systems for risk prediction to structured models for optimizing workloads and improving efficiency, these advancements are reshaping emergency medicine.

This Special Issue aims to gather contributions from all professionals working in the emergency department, highlighting the multidisciplinary collaboration essential to this field. Topics of interest include new systems for risk stratification across various pathologies, biomarkers for identifying critical conditions, advancements in safely excluding low-risk patients, and models to streamline workflows and enhance patient safety.

Our goal is to provide a comprehensive platform to showcase cutting-edge research and practical insights that support the evolving needs of emergency medicine. We encourage submissions enriched by clear illustrations, real-world applications, and multidisciplinary perspectives.

Dr. Arian Zaboli
Guest Editor

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Keywords

  • emergency medicine
  • risk stratification
  • scoring systems
  • emergency care innovation
  • low-risk patient exclusion
  • patients safety in acute care
  • critical condition biomarkers
  • triage
  • decision support system

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Published Papers (1 paper)

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Research

12 pages, 1112 KiB  
Article
Comparing the National Early Warning Score and the Manchester Triage System in Emergency Department Triage: A Multi-Outcome Performance Evaluation
by Arian Zaboli, Serena Sibilio, Gloria Brigiari, Magdalena Massar, Norbert Pfeifer, Francesco Brigo and Gianni Turcato
Diagnostics 2025, 15(9), 1055; https://doi.org/10.3390/diagnostics15091055 - 22 Apr 2025
Abstract
Background: Emergency department (ED) triage systems aim to prioritize patients based on clinical severity, ensuring timely intervention for high-risk cases. Recently, the National Early Warning Score (NEWS) has been proposed as an alternative to traditional triage systems, but its efficacy across multiple clinical [...] Read more.
Background: Emergency department (ED) triage systems aim to prioritize patients based on clinical severity, ensuring timely intervention for high-risk cases. Recently, the National Early Warning Score (NEWS) has been proposed as an alternative to traditional triage systems, but its efficacy across multiple clinical outcomes remains unclear. This study aimed to compare the predictive performance of the NEWS and the Manchester Triage System (MTS) across multiple clinical outcomes. Methods: We conducted a retrospective, single-center study at Merano Hospital, Italy, from 1 June 2022 to 30 June 2023, comparing the performance of the NEWS and the Manchester Triage System (MTS). All adult ED patients (≥18 years) were included, while exclusions applied to those on fast-track pathways, non-residents, and pregnant patients. Primary outcomes included 30-day mortality, hospitalization, and ICU admission. A random 5% subgroup was analyzed for secondary outcomes, including the need for life-saving interventions (LSIs), physician-defined clinical priority, and severity. Predictive performance was assessed using Receiver Operating Characteristic (ROC) curves, area under the ROC curve (AUROC) comparisons, and Decision Curve Analysis (DCA). Results: Among 27,238 patients, the NEWS predicted 30-day mortality more accurately than the MTS (AUROC 0.745 vs. 0.701, p < 0.001). However, the MTS outperformed the NEWS for hospitalization (AUROC 0.733 vs. 0.609, p < 0.001), ICU admission (AUROC 0.862 vs. 0.672, p < 0.001), and all secondary outcomes. DCA further confirmed MTS’s superiority across clinically relevant ED probability thresholds (20–40%). Conclusions: The NEWS, while effective for predicting mortality, it is inadequate in comprehensive triage decision-making. The MTS remains the superior system for prioritizing high-risk patients based on clinical severity. Rather than replacing triage with the NEWS, efforts should focus on refining existing systems to improve risk stratification. Future multi-center prospective studies are necessary to validate these findings. Full article
(This article belongs to the Special Issue Diagnostic Tool and Healthcare in Emergency Medicine)
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