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JCM
Special Issues
Optimizing Outcomes in Emergency Medicine and Cardiopulmonary Resuscitation
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Optimizing Outcomes in Emergency Medicine and Cardiopulmonary Resuscitation

A special issue of Journal of Clinical Medicine (ISSN 2077-0383). This special issue belongs to the section "Emergency Medicine".

Deadline for manuscript submissions: 20 April 2026 | Viewed by 773

Special Issue Editors

Dr. Andreas S. Papazoglou

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Guest Editor
Medical School, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
Interests: interventional cardiology; coronary artery disease; cardiovascular disease; percutaneous coronary interventions; myocardial infarction; digital pathology
Special Issues, Collections and Topics in MDPI journals
Dr. Dimitrios V. Moysidis

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Guest Editor
Medical School, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
Interests: cardiovascular medicine; medical statistics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In recent years, advancements in emergency medicine and cardiopulmonary resuscitation (CPR) have significantly improved survival rates and neurological outcomes in critically ill patients. However, variability in outcomes persists across different countries and systems of care, highlighting the need for continuous optimization in clinical practice, training, and post-resuscitation care.

This Special Issue will bring together high-quality research and expert perspectives focused on enhancing outcomes in emergency and resuscitative medicine. We welcome original research articles, systematic reviews that address innovations in CPR techniques, prehospital and in-hospital emergency care, resuscitation training programs, outcome prediction models based on large national registries, ethical considerations, and health system approaches for improving survival and recovery.

The topics of interest for publication include, but are not limited to, the following:

  • Advanced life support techniques;
  • Innovations in CPR and post-resuscitation care;
  • Prehospital emergency response systems;
  • Outcome predictors and decision-making algorithms.

Dr. Andreas S. Papazoglou
Dr. Dimitrios V. Moysidis
Guest Editors

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 250 words) can be sent to the Editorial Office for assessment.

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. Journal of Clinical Medicine 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
  • cardiopulmonary resuscitation
  • prehospital care
  • outcome prediction
  • post-pesuscitation care
  • advanced life support
  • emergency response systems
  • medical ethics
  • simulation in medicine

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Published Papers (1 paper)

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Research

12 pages, 240 KB  
Article
Predictors of In-Hospital Cardiac Arrest Outcomes: A Single-Center Observational Study
by Maria Aggou, Barbara Fyntanidou, Andreas S. Papazoglou, Marios G. Bantidos, Nikolaos Vasileiadis, Dimitrios Vasilakos, Haralampos Karvounis, Dimitrios V. Moysidis, Athina Nasoufidou, Panagiotis Stachteas, Paschalis Karakasis, Konstantinos Fortounis, Eleni Argyriadou, Efstratios Karagiannidis and Vasilios Grosomanidis
J. Clin. Med. 2025, 14(21), 7868; https://doi.org/10.3390/jcm14217868 - 5 Nov 2025
Viewed by 645
Abstract
Background/Objectives: In-hospital cardiac arrest (IHCA) carries high mortality and substantial risk of neurological and functional impairment. Given that contemporary, clinically relevant risk models remain limited, especially within Southern European systems, the aim of this study was to develop a process-aware model for bedside [...] Read more.
Background/Objectives: In-hospital cardiac arrest (IHCA) carries high mortality and substantial risk of neurological and functional impairment. Given that contemporary, clinically relevant risk models remain limited, especially within Southern European systems, the aim of this study was to develop a process-aware model for bedside risk stratification. Methods: We retrospectively analyzed a single-center cohort from a prospectively maintained resuscitation registry (AHEPA University General Hospital, Thessaloniki). Adults (≥18 years) with index IHCA in 2017–2019 were included. Utstein-defined variables underwent univariable screening, LASSO selection, and collinearity checks before multivariable logistic regression for in-hospital mortality. We assessed discrimination (AUC) and calibration (Hosmer–Lemeshow). Results: Among 826 IHCAs, 137 survived to discharge and 689 died. Higher mortality was independently associated with longer CPR (aOR = 1.115, 95% CI: 1.080–1.158), older age (aOR = 1.034, 95% CI: 1.014–1.055), and CCU location (aOR = 7.303, 95% CI: 2.557–25.798), while operating room (aOR = 0.029, 95% CI: 0.003–0.252), ICU/HDU (aOR = 0.203, 95% CI: 0.065–0.630), and an initial shockable rhythm (aOR = 0.297, 95% CI: 0.144–0.611) were protective. Longer time to CPR initiation also predicted mortality (aOR = 1.746, 95% CI: 1.001–3.162). Model performance was strong (AUC = 0.897, 95% CI: 0.865–0.928) with good calibration (Hosmer–Lemeshow p = 0.879). Conclusions: A process-aware model integrating patient factors, intra-arrest metrics, and location showed excellent internal performance for predicting IHCA mortality. Findings reaffirm the prognostic importance of age, rhythm, and resuscitation timeliness/intensity and support future work extending prediction to neurological/functional outcomes and testing targeted care bundles in high-risk strata. Full article
(This article belongs to the Special Issue Optimizing Outcomes in Emergency Medicine and Cardiopulmonary Resuscitation)
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