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Journals
Diagnostics
Special Issues
Clinical Advances of Diagnosis and Management in Emergency Medicine
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Clinical Advances of Diagnosis and Management in Emergency Medicine

A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Medical Imaging and Theranostics".

Deadline for manuscript submissions: 31 August 2025 | Viewed by 737

Special Issue Editor

Dr. Ho Kyung Sung

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Guest Editor
National Emergency Medical Center, National Medical Center, Eulji-ro 245, Jung-gu, Seoul 04564, Republic of Korea
Interests: infectious diseases; cancer care; emergency and critical care systems, and quality improvement

Special Issue Information

Dear Colleagues,

We have the pleasure to invite you to submit your work to this Special Issue on “Clinical Advances of Diagnosis and Management in Emergency Medicine.” It covers a range of topics, including novel diagnostic techniques, advancements in treatment modalities, and the implementation of evidence-based practices in emergency departments. We aim to collect the latest research on rapid diagnostic testing, the use of advanced imaging modalities, and the role of artificial intelligence in improving patient outcomes. In addition, we are also interested in innovative strategies for managing critical illnesses and injuries, such as the implementation of trauma care protocols, advances in pain management, and the role of telemedicine in providing emergency care to rural and remote communities. This Special Issue aims to provide readers with an up-to-date understanding of the latest developments in emergency medicine and their implications for clinical practice.

Dr. Ho Kyung Sung
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Diagnostics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • emergency medicine
  • diagnostics
  • medical imaging
  • artificial intelligence

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (1 paper)

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Research

11 pages, 688 KiB  
Article
Comparison of Trauma Scoring Systems for Predicting Mortality in Emergency Department Patients with Traffic-Related Multiple Trauma
by Murtaza Kaya, Harun Yildirim, Mehmet Toprak and Mehmed Ulu
Diagnostics 2025, 15(12), 1563; https://doi.org/10.3390/diagnostics15121563 - 19 Jun 2025
Viewed by 423
Abstract
Background/Objectives: Trauma scoring systems are essential tools for predicting clinical outcomes in patients with multiple injuries. This study aimed to compare the performance of various anatomical and physiological scoring systems in predicting mortality among patients admitted to the emergency department following traffic accidents. [...] Read more.
Background/Objectives: Trauma scoring systems are essential tools for predicting clinical outcomes in patients with multiple injuries. This study aimed to compare the performance of various anatomical and physiological scoring systems in predicting mortality among patients admitted to the emergency department following traffic accidents. Methods: In this prospective observational study, trauma patients presenting with traffic-related injuries were evaluated using seven scoring systems: ISS, NISS, AIS, GCS, RTS, TRISS, and APACHE II. Demographic data, clinical findings, and laboratory values were recorded. The prognostic performance of each score was assessed using ROC curve analysis, and diagnostic metrics including sensitivity, specificity, and likelihood ratios were calculated. Results: Among 554 patients included in the study, the overall mortality rate was 2%. The TRISS and GCS scores demonstrated the highest predictive performance, each with an AUC of 0.98, sensitivity of 100%, and specificity exceeding 93%. APACHE II followed closely with an AUC of 0.97, also achieving 100% sensitivity. NISS (AUC = 0.92) and ISS (AUC = 0.91) were effective anatomical scores, while RTS showed moderate predictive value (AUC = 0.90). Strong correlations were noted between ISS, NISS, and AIS (Rho > 0.85), while RTS was negatively correlated with these anatomical scores. All scoring systems showed statistically significant associations with mortality. Conclusions: TRISS, GCS, and APACHE II were the most effective trauma scoring systems in predicting mortality among emergency department patients. While complex models offer higher accuracy, simpler scores such as RTS and GCS remain valuable for rapid triage. The integration of both anatomical and physiological parameters may enhance early risk stratification and support timely decision-making in trauma care. Full article
(This article belongs to the Special Issue Clinical Advances of Diagnosis and Management in Emergency Medicine)
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