Background: Blood loss is the most significant cause of mortality in trauma cases. In injured patients, rapid evaluation and appropriate transfusion is lifesaving. The present study aims to analyze the blood/blood products requirement based on available data and find any associations between the transfusion requirements and injury severity scores (ISS) and anatomical locations of injuries of transfused patients.
Methods: Between 30 July 2014 and 30 July 2016, casualties admitted to the urban terrain hospital (UTH) and transfused at least one unit of red blood cell (RBC) were included. UTH Transfusion Record Notebook data included patients' age, mechanism and anatomical location(s) of the injury, admission hemoglobin (g/dL) level, injury severity score (ISS), transfused units of erythrocyte suspension (ES), warm fresh whole blood (WFWB), fresh frozen plasma (FFP), and massive transfusion (MT) rate.
Results: In this study, all patients were male; the mean age was 28.7±7.8 years. Overall, 59 of 579 (10%) patients were transfused 458 units of RBC (ES+WFWB). Torso (thorax ± abdomen) injury was present in 61% of the casualties who underwent transfusion, and 93% of these patients underwent massive transfusion. In 71% of patients, the ISS was >15, and there was statistically significant high blood/blood products use and MT rate in these patients, respectively (p=0.021, p=0.006).
Conclusion: Anatomical location of injuries and ISS are valuable in the rapid determining of MT and survival rates of casualties. Especially in torso injuries, bleeding control is difficult and transfusion requirement and mortality rates are high. This study presents the trauma of urban terrain conflict-related transfusion data from a UTH.
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http://dx.doi.org/10.14744/tjtes.2020.94789 | DOI Listing |
Ying Yong Sheng Tai Xue Bao
October 2024
Changchun Urban Planning and Research Center/Changchun Institute of Urban Planning and Design, Changchun 130028, China.
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Beijing Urban Construction Survey and Design Institute, Beijing 100101, China.
Interferometric Synthetic Aperture Radar (InSAR) is a widely used remote sensing technology for Earth observation, enabling the detection and measurement of ground deformation through the generation of interferograms. However, phase noise remains a critical factor that degrades interferogram quality. To address this issue, this study proposes MOMFNet, a deep learning approach for InSAR phase filtering based on multi-objective multi-kernel feature extraction that leverages multi-objective multi-kernel feature extraction.
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National Key Laboratory of Transient Physics, Nanjing University of Science and Technology, Nanjing 210094, China.
Path planning technology is of great consequence in the field of unmanned aerial vehicles (UAVs). In order to enhance the safety, path smoothness, and shortest path acquisition of UAVs undertaking tasks in complex urban multi-obstacle environments, this paper proposes an innovative composite improvement algorithm that integrates the advantages of the jellyfish search algorithm and the particle swarm algorithm. The algorithm effectively overcomes the shortcomings of a single algorithm, including parameter setting issues, slow convergence rates, and a tendency to become trapped in local optima.
View Article and Find Full Text PDFHealthcare (Basel)
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College of Agriculture and Natural Resources, Tarleton State University, Stephenville, TX 76402, USA.
Rural health disparities in Texas impact population health due to limited healthcare access, insurance, and transportation challenges, especially in medically underserved areas. A shortage of specialists in rural regions worsens these issues, leading to increased morbidity and mortality rates. Our research aimed to address a knowledge gap by investigating the availability of three medical specialists-cardiologists, pulmonologists, and endocrinologists-in rural counties of Texas and identifying areas where access to healthcare is limited.
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