Objective: Recently, a cardiac sonography finding, early systolic notching (ESN), was reported with high sensitivity and specificity for the diagnosis of pulmonary embolism (PE) in a limited population. The aim of this study was to determine the diagnostic accuracy of ESN finding for PE in emergency department (ED) patients.
Method: This prospective multicenter study was conducted in 4 academic EDs. All patients who underwent computed tomography angiography for suspected PE were included in the study. After inclusion, cardiac ultrasound including the right ventricular outflow tract Doppler signal was performed. The diagnostic tests of ESN finding were used for PE and its subgroups.
Results: In the study, 183 of 201 patients met the study criteria. Of all patients, 52.5% had PE (n = 96), and 19.7% (n = 36) had ESN finding. In all ED patients, the sensitivity of ESN for PE was 34% (95% CI 25-45), and the specificity was 97% (95% CI 90-99). In the subgroup analysis, the sensitivity of ESN for PE with high or intermediate-high risk was 69% (95% CI 49-85), and the specificity was 90% (95% CI 84-94). Inter-rater reliability for ESN finding between the cardiologist and emergency physician was strong with a kappa statistic of 0.87.
Conclusion: The pulmonary Doppler flow of ESN was moderate to high specific but low sensitive for PE in all ED patients. In the subgroup analysis, this finding was moderate specific and low sensitive.
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http://dx.doi.org/10.1002/jum.15744 | DOI Listing |
Ultrasound J
December 2024
Emergency Department, University Hospital Centre, Zagreb, Croatia.
Background: Pulmonary embolism (PE) is one of the most challenging diagnoses in emergency medicine, mainly because symptoms range from asymptomatic disease to sudden death. The role of echocardiography in the workup of suspected PE has been supportive and used primarily to assess the right ventricular (RV) size and function, which is important for risk stratification. Several echocardiographic parameters described in the literature lack the desired accuracy.
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Institute of Thermodynamics and Fluid Mechanics, Technische Universität Ilmenau, Ilmenau, 98684, Germany.
Turbulent Rayleigh-Bénard convection (RBC) is one of the very prominent examples of chaos in fluid dynamics with significant relevance in nature. Meanwhile, Echo State Networks (ESN) are among the most fundamental machine learning algorithms suited for modeling sequential data. The current study conducts reduced order modeling of experimental RBC.
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Applied Ecology Laboratory, University of Sorocaba, Rodovia Raposo Tavares - km 92 a 100, Vila Artura, CEP 18023-000 Sorocaba, São Paulo, Brazil.
Neotropical regions are responsible for harboring most of the global diversity of freshwater fish, providing essential ecosystem services for society. Human activities (e.g.
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Department of Computer Science and Information Systems, College of Applied Sciences, AlMaarefa University, Ad Diriyah, Riyadh, Kingdom of Saudi Arabia.
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December 2024
Seer, Melbourne, Australia; Department of Medicine, St. Vincent's Hospital Melbourne, University of Melbourne, Fitzroy, Australia; Graeme Clark Institute for Biomedical Engineering, University of Melbourne, Parkville, Australia.
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