Introduction: Sudden cardiac death is an unexpected natural death from cardiac causes. It is the most common and first manifestation of coronary artery disease. It accounts for 50% of mortality from cardiovascular disease in the United States of America and other developed countries, so measures that can reduce it are an important medical task.
Case Report: A 55-year old man suddenly lost consciousness at the train station in Novi Sad. An eyewitness provided first aid and ventricular fibrillation was converted to sinus rhythm by means of the automated external defibrillator. Emergency Medical Service Novi Sad soon arrived, continued resuscitation procedure, and transported the patient to the Cardiac Care Unit, who was then diagnosed with acutedmyocardial infarction and primary percutaneous coronary intervention was performed. Resuscitative hypothermia was applied in acute phase to prevent further brain injury. During further hospitalization the patient was stable, woke up from coma and early rehabilitation measures were implemented. After six months the patient had normal physical activities and there was no left ventricular segmental hypokinesia on echo cardiography.
Conclusion: The application of all four chains of survival is important in increasing the survival rate of patients with sudden cardiac arrest.
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http://dx.doi.org/10.2298/mpns1608237i | DOI Listing |
Gates Open Res
January 2025
University of Virginia, Charlottesville, Virginia, USA.
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CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China. Electronic address:
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View Article and Find Full Text PDFJ Am Mosq Control Assoc
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Department of Infectious Diseases, College of Veterinary Medicine, University of Georgia, Athens, GA, 30602.
Accurate enumeration of mosquito eggs is crucial for various entomologic studies, including investigations into mosquito fecundity, life history traits, and vector control strategies. Traditional manual counting methods are labor intensive and prone to human error, highlighting the need for automated systems. This study presents a stand-alone automated mosquito egg counting system using a Raspberry Pi computer, high-quality camera, light-emitting diode ring light source, and a Python script leveraging the Open Source Computer Vision library.
View Article and Find Full Text PDFJ Imaging Inform Med
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Department of Medical Informatics, Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita, 565-0871, Osaka, Japan.
Missed critical imaging findings, particularly those indicating cancer, are a common issue that can result in delays in patient follow-up and treatment. To address this, we developed a rule-based natural language processing (NLP) algorithm to detect cancer-suspicious findings from Japanese radiology reports. The dataset used consisted of chest and abdomen CT reports from six institutions.
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