Objective: Elevated blood glucose levels (BGL) are known to be part of the physiologic response to stress following physical trauma. We aimed to study whether a measured BGL might help improve accuracy of field triage.
Methods: We conducted a retrospective study using the Israel Defense Forces Trauma Registry. BGLs were determined upon hospital arrival and were not available to medical providers in the field.
Results: There were 706 casualties in the registry who had a recorded BGL upon hospital arrival. Sixty percent (18/30) of casualties who had a BGL ≥200 mg/dL had been triaged in the field as severely wounded, whereas 11% (71/651) of casualties who had a BGL <200 mg/dL had been triaged as severely wounded. For predicting an Injury Severity Score >15, the positive likelihood ratio using field triage of severe was 11, using BGL ≥200 mg/dL was 8, and using a combination of the two tests was 26. For predicting the need for intensive care unit (ICU) admission, the ratios were 8, 13, and 23, respectively.
Conclusions: Elevated BGL improved prediction of high Injury Severity Score and ICU use among casualties triaged as severe. If future research using BGL measured in the field yields similar results, combining BGL with standard field triage may allow for more accurate identification of casualties who need acute field intervention, have major injury, or require ICU admission.
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http://dx.doi.org/10.1016/j.ajem.2012.10.038 | DOI Listing |
J Environ Manage
December 2024
Department of Agriculture, Forestry and Bioresources, Seoul National University, Seoul, 08826, Republic of Korea; Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul, 08826, Republic of Korea. Electronic address:
At-risk conifer stands growing in hot, arid conditions at low elevations may contain the most climate change-adapted seeds needed for sustainable forestry. This study used a triage framework to identify high-priority survey areas for Pinus ponderosa (Pipo) within a large region, by intersecting an updated range map with a map of seed zones and elevation bands (SZEBs). The framework assesses place-based climate change and potential wildfire risks by rank-order across 740 potential collection units.
View Article and Find Full Text PDFNPJ Digit Med
December 2024
Department of Preventative Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Patient smart access and self-triage systems have been in development for decades. As of now, no LLM for processing self-reported patient data has been published by health systems. Many expert systems and computational models have been released to millions.
View Article and Find Full Text PDFBMC Emerg Med
December 2024
Department of Healthcare and Emergency care, South-Eastern Finland University of Applied Sciences, Salakuljettajantie 4, Kotka, 48100, Finland.
Background: Chemical, biological, radiological, nuclear, and explosive (CBRNE) incidents present rare and complex challenges for Emergency Medical Services (EMS), necessitating effective incident command to manage occupational and patient safety risks. EMS incident commanders must make quick decisions under pressure, coordinating medical responses and ensuring personnel's safety. This study examined the perceived competence requirements of Finnish EMS field supervisors in managing C and E incidents.
View Article and Find Full Text PDFResuscitation
December 2024
Department of Emergency Medicine, Seoul National University Hospital. Electronic address:
Introduction: A crowd crush can lead to respiratory arrest and result in multiple mass cardiac arrests (MCAs), which are often classified as Black Tag in disaster triage. Recently, many laypersons have been commonly trained in compression-only cardiopulmonary resuscitation (CPR) without ventilation support in various communities. This study aims to describe the characteristics of bystander CPR administered and the outcomes of MCAs during the Itaewon crowd crush incident.
View Article and Find Full Text PDFIEEE Open J Eng Med Biol
October 2024
Owing to the rapid progress in artificial intelligence (AI) and the widespread use of generative learning, the problem of sparse data has been solved effectively in various research fields. The application of AI technologies has resulted in important transformations in healthcare, particularly in radiology. To ensure the high quality, safety, and effectiveness of AI and machine learning (ML) medical devices, the US Food and Drug Administration (FDA) has established regulatory guidelines to support the performance evaluation of medical devices.
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