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Introduction And Objective: Sudden cardiac arrest (SCA) is a significant cause of adult mortality, categorized into in-hospital (IHCA) and out-of-hospital (OHCA). Survival in OHCA depends on early diagnosis, alerting Emergency Medical Service (EMS), high-quality bystander resuscitation, and prompt Automatic External Defibrillator (AED) use. Accelerating technological progress supports faster AED retrieval and use, but there are barriers in real-life OHCA situations. The study assesses 6th-year medical students' ability to locate AEDs using smartphones, revealing challenges and proposing solutions.
Material & Methods: The study was conducted in 2022-2023 at the Medical University of Lodz, Poland. Respondents completed a survey on AED knowledge and characteristics, followed by a task to find the nearest AED using their own smartphones. As common sources did not list the University AEDs, respondents were instructed to locate the nearest AED outside the research site.
Results: A total of 300 6th-year medical students took part in the study. Only 3.3% had an AED locating app. Only 32% of students claimed to know where the AED nearest to their home is. All 300 had received AED training, and almost half had been witness to a resuscitation. Out of the 291 medical students who completed the AED location task, the median time to locate the nearest AED was 58 s. Most participants (86.6%) found the AED within 100 s, and over half (53%) did so in under 1 min.
Conclusions: National registration of AEDs should be mandatory. A unified source of all AEDs mapped should be created or added to existing ones. With a median of under one minute, searching for AED by a bystander should be considered as a point in the chain of survival.
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http://dx.doi.org/10.1186/s13690-024-01395-1 | DOI Listing |
Nurse Educ Pract
August 2025
Faculty of Nursing, Universidad de Cantabria, IDIVAL Nursing Research Group, Avda. Valdecilla s/n., Santander 39008, Spain.
Background: Gender inequalities in care of women with cardiopulmonary arrest may be due to lack of training with manikins representing the female thorax. Incorporating this feature in basic life support (BLS) training would support a more equitable and effective response.
Aim: To evaluate the impact of using female torso mannikins in BLS training for nursing students.
ACS Omega
August 2025
College of Medicine and Health Sciences, Department of Biochemistry and Molecular Biology, United Arab Emirates University, Al Ain, P.O. Box: 15551, United Arab Emirates.
A new computational tool, the Average Electron Density Estimator (AED-Est), has been developed along with a new scheme for assigning atom type, the AAA scheme. This combination of the AED-Est and the AAA scheme is designed to rapidly estimate properties, including electron populations, volumes, and average electron density (AED) values, with high precision and an accuracy comparable to values computed at the quantum levels. AED-Est gave comparable results when using three different sets/subsets of various neutral molecules.
View Article and Find Full Text PDFBMC Health Serv Res
August 2025
Faculty of Medicine, Islamic University of Gaza, P.O. Box 108, Gaza, State of Palestine.
Background: Basic Life Support (BLS) is a standard of care and a crucial component of emergency medicine. In conflict-affected regions like Gaza, the importance of timely and effective BLS is ever more critical. However, the level of BLS knowledge among Gazan healthcare workers remains underexplored.
View Article and Find Full Text PDFJAMA Netw Open
August 2025
Icahn School of Medicine at Mount Sinai, New York City, New York.
Importance: Airports are uniquely situated to facilitate several aspects of the out-of-hospital cardiac arrest (OHCA) chain of survival, including a high likelihood of cardiac arrest events being witnessed and the ready availability of automated external defibrillators (AEDs). Focused analyses suggest airports are associated with a higher prevalence of witnessed cardiac arrest and AED use; however, there is a lack of national US data on the topic to facilitate comparison of response characteristics with other OHCA events occurring in nonairport locations.
Objective: To compare OHCAs occurring at airports with OHCAs occurring in nonairport, nonresidential settings.
Entropy (Basel)
July 2025
School of Electronic and Information Engineering, Beihang University, Beijing 100191, China.
The newly developed automorphism ensemble decoder (AED) leverages the rich automorphisms of Reed-Muller (RM) codes to achieve near maximum likelihood (ML) performance at short code lengths. However, the performance gain of AED comes at the cost of high complexity, as the ensemble size required for near ML decoding grows exponentially with the code length. In this work, we address this complexity issue by focusing on the factor graph permutation group (FGPG), a subgroup of the full automorphism group of RM codes, to generate permutations for AED.
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