Objective: The primary objective of this study was to evaluate the utility, clinical impact, and work flow of a new trauma hybrid operating theater.
Summary Background Data: The potential utility and clinical benefit of hybrid operating theaters are increasingly postulated. Unfortunately, the clinical outcomes and efficiencies of these environments remain unclear.
Methods: All severely injured patients who were transferred to the hybrid suite for emergent intervention between 2013 and 2017 were compared to consecutive prehybrid patients. Standard statistical methodology was employed (P < 0.05 = significant).
Results: One hundred sixty-nine patients with severe injuries (mean ISS = 23; hemodynamic instability = 70%; hospital/ICU stay = 12 d; mortality = 14%) were transferred urgently to the hybrid suite. Most were young (38 yrs) males (84%) with blunt injuries (51%). Combined hybrid trauma procedures occurred in 18% of cases (surgery (82%) and angiography (11%) alone). Procedures within the hybrid suite included: laparotomy (57%), extremity (14%), thoracotomy/sternotomy (12%), angioembolization of the spleen/pelvis/liver/other (9%), neck (9%), craniotomy (4%), and aortic endostenting (6%). Compared with historical controls, use of the hybrid suite resulted in shorter arrival to intervention and total procedure times (P < 0.05). A clear benefit for survival was evident (42% vs. 22%).
Conclusions: Availability of a hybrid environment for severely injured patients reduces time to intervention, total procedural duration, blood product transfusion and salvages a small subset of patients who would not otherwise survive. The cost associated with a hybrid suite remains prohibitive for many centers.
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http://dx.doi.org/10.1097/SLA.0000000000003175 | DOI Listing |
Sci Rep
January 2025
Amal Jyothi College of Engineering (Autonomous), Kanjirappally, Kerala, India.
In agriculture, promptly and accurately identifying leaf diseases is crucial for sustainable crop production. To address this requirement, this research introduces a hybrid deep learning model that combines the visual geometric group version 19 (VGG19) architecture features with the transformer encoder blocks. This fusion enables the accurate and précised real-time classification of leaf diseases affecting grape, bell pepper, and tomato plants.
View Article and Find Full Text PDFTrauma Case Rep
February 2025
Department of Emergency and Critical Care Medicine, Hyogo Emergency Medical Center, 1-3-1 Wakinohamakaigandori, Chuo-ku, Kobe, Hyogo 651-0073, Japan.
Background: Hybrid emergency rooms (ERs) allow computed tomography (CT) scanning, interventional radiology, and surgery all in the same suite. Severe trauma patients with blunt thoracic aortic injury (BTAI) require rapid diagnosis and treatment. Hybrid ERs allow the potential for clinicians to implement multiple therapeutic procedures, including thoracic endovascular aortic repair (TEVAR), for these types of conditions without the need to transport the patients.
View Article and Find Full Text PDFHerz
January 2025
Machine & Hybrid Intelligence Lab, Department of Radiology, Northwestern University, 737 N. Michigan Avenue Suite 1600, 60611, Chicago, IL, USA.
Background: Inflammatory markers have been proposed as prognostic tools for predicting in-hospital mortality in infective endocarditis (IE). Nonetheless, it is unclear whether these markers provide additional prognostic value over established indicators. This study compared nine different inflammation scores to assess their effectiveness in enhancing the prediction of in-hospital mortality.
View Article and Find Full Text PDFJ Funct Biomater
January 2025
Department of Mechanics, Materials and Biomedical Engineering, Faculty of Mechanical Engineering, Wrocław University of Science and Technology, Smoluchowskiego 25, 50-372 Wrocław, Poland.
This study focuses on the development and evaluation of the OrthoNail hybrid intramedullary implant for lower limb lengthening in patients requiring significant skeletal reconstruction. The implant addresses the challenges in load-bearing during rehabilitation, providing a robust solution that is capable of supporting physiological loads. Mechanical tests, including axial compression, tension, torsion, and 3,4-point bending, determined the implant's load capacity and fatigue resistance, while finite element analysis assessed stress distributions in bone tissue and around screw holes during single-leg stance, with boundary conditions derived from Orthoload database data.
View Article and Find Full Text PDFBiomimetics (Basel)
December 2024
Department of Computer Science, Durham University, Durham DH1 3LE, UK.
The RIME algorithm is a novel physical-based meta-heuristic algorithm with a strong ability to solve global optimization problems and address challenges in engineering applications. It implements exploration and exploitation behaviors by constructing a rime-ice growth process. However, RIME comes with a couple of disadvantages: a limited exploratory capability, slow convergence, and inherent asymmetry between exploration and exploitation.
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