Introduction: Lay training is essential to manage emergencies properly, although patients or bystanders need increased recognition of medical urgencies such as strokes. In Italy, as defined by Legislative Decree 81/08, all companies must train employees responsible for correctly recognizing and managing medical emergencies. Our study aims to evaluate the characteristics of medical emergencies concerning patients with a possible stroke in the Lombardy Region.
Methods: A retrospective observational study was conducted. All missions performed by Regional Agency for Emergencies and Urgencies (Agenzia Regionale Emergenza Urgenza - AREU) in which the patient presented a possible stroke, recorded in the SAS-Areu database, were analyzed. The study period was from January 1, 2019, to December 31, 2019.
Results: 10,201 patients with possible stroke were rescued, of whom only 540 (5.3%) occurred in workplaces. In workplaces, the percentage of males with a possible stroke was higher (62.2% vs 45.2%; p<0.01) and the mean age of rescued patients was lower (64.7 vs 77.5; p<0.01).
Conclusions: A stroke occurs less frequently in the workplace, while most events occur at home. Man-datory training on early stroke recognition should be extended to schools and conveyed through a media information campaign. Lay training is the first point in the chain of survival; redefining training is critical for the future.
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http://dx.doi.org/10.7416/ai.2022.2553 | DOI Listing |
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CRO Aviano, National Cancer Institute, IRCCS, Aviano, Italy.
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Solid State Pharmaceutics Research Laboratory, Department of Pharmaceutical Sciences and Technology, Birla Institute of Technology, Mesra, Ranchi, 835215, Jharkhand, India.
Improving the bioavailability of poorly water-soluble drugs presents a significant challenge in pharmaceutical development. Amorphous solid dispersions (ASDs) have garnered substantial attention for their capability to augment the solubility and dissolution rate of poorly water-soluble drugs, thereby markedly enhancing their bioavailability. ASDs, characterized by a metastable equilibrium where the active pharmaceutical ingredient (API) is molecularly dispersed, offer enhanced absorption compared to crystalline forms.
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College of Science and Engineering, Hamad Bin Khalifa University, Ar-Rayyan, Qatar.
The advent of three-dimensional convolutional neural networks (3D CNNs) has revolutionized the detection and analysis of COVID-19 cases. As imaging technologies have advanced, 3D CNNs have emerged as a powerful tool for segmenting and classifying COVID-19 in medical images. These networks have demonstrated both high accuracy and rapid detection capabilities, making them crucial for effective COVID-19 diagnostics.
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Department of Prosthodontics, King George's Medical University, Lucknow, 226003, India.
Dental plaque biofilms are the primary etiologic factor for various chronic oral infectious diseases. In recent years, dental plaque shows enormous potential to know about an individual microbiota. Various microbiome studies of oral cavity from different geographical locations reveals abundance of microbial species.
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