Aims: We investigated the net benefit in the outcome of reducing treatment delay through field triage and emergency department (ED) bypass in patients with ST-elevation myocardial infarction (STEMI) treated with primary angioplasty.
Methods And Results: In a prospective registry study, consecutive patients with suspected STEMI were assigned to: (i) pre-hospital ECG and triage or (ii) ECG and triage at the closest ED, solely based on ambulance availability. Four district hospitals and one regional heart centre serviced the 890,000 population metropolitan area and primary angioplasty was the only reperfusion strategy employed. Baseline characteristics were similar in STEMI patients triaged in the field (108) and the EDs (193). Symptom onset to balloon times: 154 [inter-quartile range (IQR) 120-233) vs. 249 (IQR 184-405) min (P<0.001) and peak creatine kinase in early presenters (<2 h): 1435 (95 %CI: 904-1966) U/L vs. 2320 (95% CI: 1881-2762) U/L (P=0.009) were lower in field- than in ED-triaged patients. Mortality in the PCI treated were 1.1 and 8.2% [P=0.025, RR 0.14 (95% CI: 0.01-1.08)] and overall mortality were 1.9 and 7.3% [P=0.046, RR 0.26 (95% CI: 0.05-1.11)].
Conclusion: Field-triage and ED bypass were feasible means of reducing treatment delay in patients with suspected STEMI and resulted in smaller infarct size in early presenters and a trend towards a reduction in mortality.
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http://dx.doi.org/10.1093/eurheartj/ehm306 | DOI Listing |
BMC 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.
View Article and Find Full Text PDFBMC Med
December 2024
Department of Biomedical Engineering, Montreal Neurological Institute, McGill University and Mila - Quebec AI Institute, Montreal, Canada.
Background: Pain is a complex problem that is triaged, diagnosed, treated, and billed based on which body part is painful, almost without exception. While the "body part framework" guides the organization and treatment of individual patients' pain conditions, it remains unclear how to best conceptualize, study, and treat pain conditions at the population level. Here, we investigate (1) how the body part framework agrees with population-level, biologically derived pain profiles; (2) how do data-derived pain profiles interface with other symptom domains from a whole-body perspective; and (3) whether biologically derived pain profiles capture clinically salient differences in medical history.
View Article and Find Full Text PDFCancer Causes Control
December 2024
Kilimanjaro Clinical Research Institute, Kilimanjaro, Tanzania.
Artificial intelligence is rapidly changing our world at an exponential rate and its transformative power has extensively reached important sectors like healthcare. In the fight against cancer, AI proved to be a novel and powerful tool, offering new hope for prevention and early detection. In this review, we will comprehensively explore the medical applications of AI, including early cancer detection through pathological and imaging analysis, risk stratification, patient triage, and the development of personalized prevention approaches.
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