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1.
Appl Ergon ; 106: 103896, 2023 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-36156386

RESUMO

Worker guidance systems provide product-specific and digital assembly information and can make an important contribution to increasing productivity and quality and relieving employees, especially in flexible variant assembly. However, a critical factor here is the successful design of the systems. While much of the research focuses on aspects of the hardware, this article is dedicated to the question of how the configuration of the level of information, i.e. the amount and depth of information in worker guidance systems, is affected. For this purpose, two studies, a laboratory study at the Technical University of Darmstadt (N = 53) and a field study at a company (N = 30), were conducted and two variants of the information level of a worker guidance system were compared. The study results show that assembly quality in particular is significantly influenced by the level of information; to the advantage of detailed information. No significant differences were found for production times. For the subjective evaluation of the system as well as for the objective and subjectively perceived strain, it can be stated that the high level of information also performs better. The results thus help to design worker guidance systems more precisely so that they fulfill the information needs of the employees as well as possible.


Assuntos
Computadores , Eficiência , Humanos
2.
Mol Phylogenet Evol ; 178: 107636, 2023 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-36208695

RESUMO

Phylogenetic trees are essential tools in evolutionary biology that present information on evolutionary events among organisms and molecules. From a dataset of n sequences, a phylogenetic tree of (2n-5)!! possible topologies exists, and determining the optimum topology using brute force is infeasible. Recently, a recursive graph cut on a graph-represented-similarity matrix has proven accurate in reconstructing a phylogenetic tree containing distantly related sequences. However, identifying the optimum graph cut is challenging, and approximate solutions are currently utilized. Here, a phylogenetic tree was reconstructed with an improved graph cut using a quantum-inspired computer, the Fujitsu Digital Annealer (DA), and the algorithm was named the "Normalized-Minimum cut by Digital Annealer (NMcutDA) method". First, a criterion for the graph cut, the normalized cut value, was compared with existing clustering methods. Based on the cut, we verified that the simulated phylogenetic tree could be reconstructed with the highest accuracy when sequences were diverged. Moreover, for some actual data from the structure-based protein classification database, only NMcutDA could cluster sequences into correct superfamilies. Conclusively, NMcutDA reconstructed better phylogenetic trees than those using other methods by optimizing the graph cut. We anticipate that when the diversity of sequences is sufficiently high, NMcutDA can be utilized with high efficiency.


Assuntos
Algoritmos , Computadores , Filogenia , Análise por Conglomerados , Bases de Dados de Proteínas
3.
Sci Total Environ ; 856(Pt 1): 159096, 2023 Jan 15.
Artigo em Inglês | MEDLINE | ID: mdl-36181826

RESUMO

Antibiotic resistance genes (ARGs) have been regarded as emerging pollutants due to their potential risk of resistance. Horizontal gene transfer (HGT) is the main pathway for ARGs to lead to environmental threats. Therefore, the inhabitation of ARGs' HGT can effectively inhibit ARGs' potential drug resistance risk within a single strain. In this paper, the characteristics of ARGs' HGT in paddy and dryland soils were identified and regulated by a combination of ARGs' HGT feature identification, transfer mechanism analysis and transfer process regulation. The homology modeling algorithm was used to simulate the construction of the Tn5 plasmid transposase of Escherichia coli (E. coli) for identifying ARGs' HGT characteristics. The GCG (212.617 Å) was thus determined as the target codon. Through integrated computer-based methods, results showed that the most important environmental disturbance factors for the HGT of ARGs in the paddy and dryland soils were rough farmyard manure/sewage irrigation and mining pollution, respectively. Under the disturbance of key environmental factors, the inhibitory effect of HGT of ARGs in paddy and dryland soil was reduced by 35.01 % and 34.74 %, respectively. Results demonstrated that the proposed theoretical mechanism and control strategies could effectively inhibit the HGT of E. coli ARGs in the soil environment.


Assuntos
Transferência Genética Horizontal , Solo , Antibacterianos/farmacologia , Escherichia coli/genética , Genes Bacterianos , Resistência Microbiana a Medicamentos/genética , Computadores
4.
Radiol Clin North Am ; 61(1): 141-150, 2023 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-36336387

RESUMO

Peripheral vascular injuries are a rare finding in the setting of trauma but an important source of morbidity and mortality when present. Fast and accurate diagnosis followed by rapid repair of vascular injuries are important for achieving the best clinical outcomes. The advancements in computer tomography (CT) and decades of experience in vascular imaging have allowed radiologists to become important contributors for the diagnosis and characterization of peripheral vascular injury. We review the epidemiology of peripheral vascular injuries, indications for imaging, ways to optimize CT technique, imaging findings, and common challenges for accurate diagnosis of such injuries.


Assuntos
Lesões do Sistema Vascular , Humanos , Lesões do Sistema Vascular/diagnóstico por imagem , Angiografia por Tomografia Computadorizada , Tomografia Computadorizada por Raios X/métodos , Angiografia/métodos , Computadores
5.
Methods Mol Biol ; 2552: 409-433, 2023.
Artigo em Inglês | MEDLINE | ID: mdl-36346606

RESUMO

In the computational design of antibodies, the interaction analysis between target antigen and antibody is an essential process to obtain feedback for validation and optimization of the design. Kinetic and thermodynamic parameters as well as binding affinity (KD) allow for a more detailed evaluation and understanding of the molecular recognition. In this chapter, we summarize the conventional experimental methods which can calculate KD value (ELISA, FP), analyze a binding activity to actual cells (FCM), and evaluate the kinetic and thermodynamic parameters (ITC, SPR, BLI), including high-throughput analysis and a recently developed experimental technique.


Assuntos
Anticorpos , Antígenos , Ensaio de Imunoadsorção Enzimática , Cinética , Computadores
7.
Semin Fetal Neonatal Med ; 27(5): 101395, 2022 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-36457213

RESUMO

While a goal for Electronic Health Record (EHR) technologies was to improve quality, efficiency, and safety, the usability of EHRs has remained poor. The relation to patient harm and user satisfaction cannot be ignored. Optimization of EHR usability is imperative to improving the outcomes for critically ill patients, especially neonates who are at the extremes of physiologic variability. Further development and integration of metadata with predictive modeling and clinical protocols can support provider decision making, increase efficiency and safety, and reduce clinician burnout. This paper reviews EHR usability and identifies opportunities to improve the EHR specific to neonatal care.


Assuntos
Computadores , Recém-Nascido , Humanos
8.
J. Health Biol. Sci. (Online) ; 10(1): 1-5, 01/jan./2022. ilus
Artigo em Inglês | LILACS | ID: biblio-1370898

RESUMO

Introduction: The use of computers, tablets, and cell phones with the Internet by people with quadriplegia from spinal cord injuries is much lower when compared to the general population. The quality of life of these people can be substantially improved through access to these technologies, which would allow a quadriplegic to take advantage of the rapid evolution of information and communication. Many of these individuals have the function of preserved neck and mouth muscles, and it is possible to manipulate intraoral devices as an adaptation tool. Case Report: We report an intraoral device installation in a patient with quadriplegia, a victim of a firearm accident, who had a great desire to reuse the tablet for internet access. A device made of acrylic resin, similar to a myorelaxant plate, was designed to allow the use of a computer that was comfortable and at the same time, the patient could talk and not harm the dental structures. The person responsible agreed to participate in the research and signed the consent form. In addition, the work was submitted to an ethics committee. Considerations: The ideal intra-oral device for patient rehabilitation should be inexpensive, easy to adapt and promote muscle relaxation besides allowing the patient to expand their abilities and digitally increase their autonomy for society.


Introdução: O uso de computadores, tablets e celulares com internet por pessoas com tetraplegia por lesão medular é muito menor quando comparado à população geral. A qualidade de vida dessas pessoas pode ser, substancialmente, melhorada por meio do acesso a essas tecnologias, o que permitiria aos tetraplégicos aproveitar a rápida evolução da informação e da comunicação. Muitos desses indivíduos têm a função de músculos cervicais e bucais preservados, sendo possível a manipulação de dispositivos intraorais como ferramenta de adaptação. Relato de Caso: Relatamos a instalação de um dispositivo intraoral em um paciente com tetraplegia, vítima de acidente com arma de fogo, que tinha grande desejo de reutilizar o tablet para acesso à internet. Um dispositivo feito de resina acrílica, semelhante a uma placa miorrelaxante, foi projetado para permitir o uso de um computador que fosse confortável e, ao mesmo tempo, o paciente pudesse falar e não prejudicar as estruturas dentárias. O responsável concordou em participar da pesquisa e assinou o termo de consentimento. Além disso, o trabalho foi submetido a um comitê de ética. Considerações: O dispositivo intraoral ideal para a reabilitação do paciente deve ser barato, de fácil adaptação e promover o relaxamento muscular, além de permitir que o paciente amplie suas habilidades e aumente sua autonomia pessoal, digitalmente para a sociedade.


Assuntos
Inclusão Digital , Inclusão Social , Quadriplegia , Computadores , Pessoas com Deficiência , Comunicação , Adaptação a Desastres , Autonomia Pessoal
9.
Sci Rep ; 12(1): 20732, 2022 Dec 01.
Artigo em Inglês | MEDLINE | ID: mdl-36456605

RESUMO

Currently, radiologists face an excessive workload, which leads to high levels of fatigue, and consequently, to undesired diagnosis mistakes. Decision support systems can be used to prioritize and help radiologists making quicker decisions. In this sense, medical content-based image retrieval systems can be of extreme utility by providing well-curated similar examples. Nonetheless, most medical content-based image retrieval systems work by finding the most similar image, which is not equivalent to finding the most similar image in terms of disease and its severity. Here, we propose an interpretability-driven and an attention-driven medical image retrieval system. We conducted experiments in a large and publicly available dataset of chest radiographs with structured labels derived from free-text radiology reports (MIMIC-CXR-JPG). We evaluated the methods on two common conditions: pleural effusion and (potential) pneumonia. As ground-truth to perform the evaluation, query/test and catalogue images were classified and ordered by an experienced board-certified radiologist. For a profound and complete evaluation, additional radiologists also provided their rankings, which allowed us to infer inter-rater variability, and yield qualitative performance levels. Based on our ground-truth ranking, we also quantitatively evaluated the proposed approaches by computing the normalized Discounted Cumulative Gain (nDCG). We found that the Interpretability-guided approach outperforms the other state-of-the-art approaches and shows the best agreement with the most experienced radiologist. Furthermore, its performance lies within the observed inter-rater variability.


Assuntos
Radiologia , Humanos , Radiografia , Radiologistas , Diagnóstico por Computador , Computadores
10.
Nature ; 612(7938): 41-42, 2022 12.
Artigo em Inglês | MEDLINE | ID: mdl-36450913
11.
Sensors (Basel) ; 22(21)2022 Oct 22.
Artigo em Inglês | MEDLINE | ID: mdl-36365798

RESUMO

Side-channel analysis has become a widely recognized threat to the security of cryptographic implementations. Different side-channel attacks, as well as countermeasures, have been proposed in the literature. Such attacks pose a severe threat to both hardware and software cryptographic implementations, especially in the IoT environment where the attacker may easily gain physical access to a device, leaving it vulnerable to tampering. In this paper, we provide a comprehensive survey regarding the non-invasive passive side-channel analysis. We describe both non-profiled and profiled attacks, related security metrics, countermeasures against such attacks, and leakage-assessment methodologies, as available in the literature of more than twenty years of research.


Assuntos
Segurança Computacional , Computadores , Software , Benchmarking
12.
Sensors (Basel) ; 22(21)2022 Oct 28.
Artigo em Inglês | MEDLINE | ID: mdl-36365970

RESUMO

Sugarcane stem node identification is the core technology required for the intelligence and mechanization of the sugarcane industry. However, detecting stem nodes quickly and accurately is still a significant challenge. In this paper, in order to solve this problem, a new algorithm combining YOLOv3 and traditional methods of computer vision is proposed, which can improve the identification rate during automated cutting. First, the input image is preprocessed, during which affine transformation is used to correct the posture of the sugarcane and a rotation matrix is established to obtain the region of interest of the sugarcane. Then, a dataset is built to train the YOLOv3 network model and the position of the stem nodes is initially determined using the YOLOv3 model. Finally, the position of the stem nodes is further located accurately. In this step, a new gradient operator is proposed to extract the edge of the image after YOLOv3 recognition. Then, a local threshold determination method is proposed, which is used to binarize the image after edge extraction. Finally, a localization algorithm for stem nodes is designed to accurately determine the number and location of the stem nodes. The experimental results show that the precision rate, recall rate, and harmonic mean of the stem node recognition algorithm in this paper are 99.68%, 100%, and 99.84%, respectively. Compared to the YOLOv3 network, the precision rate and the harmonic mean are improved by 2.28% and 1.13%, respectively. Compared to other methods introduced in this paper, this algorithm has the highest recognition rate.


Assuntos
Reconhecimento Automatizado de Padrão , Saccharum , Reconhecimento Automatizado de Padrão/métodos , Algoritmos , Computadores
13.
Sensors (Basel) ; 22(21)2022 Nov 03.
Artigo em Inglês | MEDLINE | ID: mdl-36366172

RESUMO

With the development of the Internet of things (IoT), federated learning (FL) has received increasing attention as a distributed machine learning (ML) framework that does not require data exchange. However, current FL frameworks follow an idealized setup in which the task size is fixed and the storage space is unlimited, which is impossible in the real world. In fact, new classes of these participating clients always emerge over time, and some samples are overwritten or discarded due to storage limitations. We urgently need a new framework to adapt to the dynamic task sequences and strict storage constraints in the real world. Continuous learning or incremental learning is the ultimate goal of deep learning, and we introduce incremental learning into FL to describe a new federated learning framework. New generation federated learning (NGFL) is probably the most desirable framework for FL, in which, in addition to the basic task of training the server, each client needs to learn its private tasks, which arrive continuously independent of communication with the server. We give a rigorous mathematical representation of this framework, detail several major challenges faced under this framework, and address the main challenges of combining incremental learning with federated learning (aggregation of heterogeneous output layers and the task transformation mutual knowledge problem), and show the lower and upper baselines of the framework.


Assuntos
Algoritmos , Aprendizado de Máquina , Humanos , Computadores
14.
Sensors (Basel) ; 22(21)2022 Nov 06.
Artigo em Inglês | MEDLINE | ID: mdl-36366242

RESUMO

Deep neural networks have been deployed in various hardware accelerators, such as graph process units (GPUs), field-program gate arrays (FPGAs), and application specific integrated circuit (ASIC) chips. Normally, a huge amount of computation is required in the inference process, creating significant logic resource overheads. In addition, frequent data accessions between off-chip memory and hardware accelerators create bottlenecks, leading to decline in hardware efficiency. Many solutions have been proposed to reduce hardware overhead and data movements. For example, specific lookup-table (LUT)-based hardware architecture can be used to mitigate computing operation demands. However, typical LUT-based accelerators are affected by computational precision limitation and poor scalability issues. In this paper, we propose a search-based computing scheme based on an LUT solution, which improves computation efficiency by replacing traditional multiplication with a search operation. In addition, the proposed scheme supports different precision multiple-bit widths to meet the needs of different DNN-based applications. We design a reconfigurable computing strategy, which can efficiently adapt to the convolution of different kernel sizes to improve hardware scalability. We implement a search-based architecture, namely SCA, which adopts an on-chip storage mechanism, thus greatly reducing interactions with off-chip memory and alleviating bandwidth pressure. Based on experimental evaluation, the proposed SCA architecture can achieve 92%, 96% and 98% computational utilization for computational precision of 4 bit, 8 bit and 16 bit, respectively. Compared with state-of-the-art LUT-based architecture, the efficiency can be improved four-fold.


Assuntos
Algoritmos , Redes Neurais de Computação , Computadores
15.
Sensors (Basel) ; 22(21)2022 Nov 07.
Artigo em Inglês | MEDLINE | ID: mdl-36366264

RESUMO

Due to the amount of transmitted data and the security of personal or private information in wireless communication, there are cases where the information for a multimedia service should be directly transferred from the user's device to the cloud server without the captured original images. This paper proposes a new method to generate 3D (dimensional) keypoints based on a user's mobile device with a commercial RGB camera in a distributed computing environment such as a cloud server. The images are captured with a moving camera and 2D keypoints are extracted from them. After executing feature extraction between continuous frames, disparities are calculated between frames using the relationships between matched keypoints. The physical distance of the baseline is estimated by using the motion information of the camera, and the actual distance is calculated by using the calculated disparity and the estimated baseline. Finally, 3D keypoints are generated by adding the extracted 2D keypoints to the calculated distance. A keypoint-based scene change method is proposed as well. Due to the existing similarity between continuous frames captured from a camera, not all 3D keypoints are transferred and stored, only the new ones. Compared with the ground truth of the TUM dataset, the average error of the estimated 3D keypoints was measured as 5.98 mm, which shows that the proposed method has relatively good performance considering that it uses a commercial RGB camera on a mobile device. Furthermore, the transferred 3D keypoints were decreased to about 73.6%.


Assuntos
Algoritmos , Visão Ocular , Computadores
16.
Sensors (Basel) ; 22(21)2022 Nov 07.
Artigo em Inglês | MEDLINE | ID: mdl-36366266

RESUMO

The limitations of the classic PACS (picture archiving and communication system), such as the backward-compatible DICOM network architecture and poor security and maintenance, are well-known. They are challenged by various existing solutions employing cloud-related patterns and services. However, a full-scale cloud-native PACS has not yet been demonstrated. The paper introduces a vendor-neutral cloud PACS architecture. It is divided into two main components: a cloud platform and an access device. The cloud platform is responsible for nearline (long-term) image archive, data flow, and backend management. It operates in multi-tenant mode. The access device is responsible for the local DICOM (Digital Imaging and Communications in Medicine) interface and serves as a gateway to cloud services. The cloud PACS was first implemented in an Amazon Web Services environment. It employs a number of general-purpose services designed or adapted for a cloud environment, including Kafka, OpenSearch, and Memcached. Custom services, such as a central PACS node, queue manager, or flow worker, also developed as cloud microservices, bring DICOM support, external integration, and a management layer. The PACS was verified using image traffic from, among others, computed tomography (CT), magnetic resonance (MR), and computed radiography (CR) modalities. During the test, the system was reliably storing and accessing image data. In following tests, scaling behavior differences between the monolithic Dcm4chee server and the proposed solution are shown. The growing number of parallel connections did not influence the monolithic server's overall throughput, whereas the performance of cloud PACS noticeably increased. In the final test, different retrieval patterns were evaluated to assess performance under different scenarios. The current production environment stores over 450 TB of image data and handles over 4000 DICOM nodes.


Assuntos
Sistemas de Informação em Radiologia , Computação em Nuvem , Computadores , Software , Tomografia Computadorizada por Raios X
17.
BMC Ophthalmol ; 22(1): 430, 2022 Nov 11.
Artigo em Inglês | MEDLINE | ID: mdl-36368980

RESUMO

BACKGROUND: To assess whether informing patients with a computer-based tutorial in addition to standard informed consent influences the patient's attitude towards surgery and increases patient's knowledge. METHODS: In this prospective, exploratory, randomized clinical study, patients scheduled for their first eye cataract surgery were randomly allocated to two groups, receiving standard face-to-face informed consent (control group) or additionally using an interactive computer-based tool (CatInfo) containing an audiovisual presentation about cataract and its treatment (study group). Cataract-related knowledge and decisional confidence (decisional conflict scale (DCS)) were assessed as well as one-month postoperatively decisional regret (decision regret scale (DRS)) and willingness to exchange face-to-face discussion time for the use of such a tool. RESULTS: The study comprised 134 patients, 64 patients in the study group and 70 in the control group. Patients in the study group answered more questions correctly, 16.3 ± 2.0 (median 16.5, 11.0-19.0) versus 15.5 ± 1.9 (median 16.0, 8.0-19.0; p = 0.01). Patients showed a high decisional confidence with a study group mean DCS score of 92.4 ± 9.8 (median 96.9, 65.6-100) and control group score of 91.6 ± 10.9 (median 95.3, 43.3-100; p = 0.52). Mean DRS score in the study group was 2.5 ± 8.0 (median 0, 0-40) and 4.3 ± 12.5 (median 0, 0-75) in the control group (p = 0.14). Of study group patients 23 (67.6%) were willing to trade time, on average 158 ± 180 s (median 120 s, 45-900). Satisfaction with the tool was high with a mean of 9.1 ± 1.3 out of 10 (median 9.7, 5.0-10). CONCLUSIONS: Cataract-related knowledge was generally good, with slightly higher scores in the study group. In both groups, decisional confidence was high and regret after surgery was low. A tendency towards slightly higher decisional confidence and lower regret was found in the study group, although these differences were not statistically significant. Additional use of an interactive computer-based tool may prove useful in the informed consent process in a high-volume cataract outpatient setting. TRIAL REGISTRATION: ClinicalTrials.gov, NCT04975126. Retrospectively registered - July 23, 2021.


Assuntos
Extração de Catarata , Catarata , Humanos , Estudos Prospectivos , Consentimento Livre e Esclarecido , Computadores
18.
Stud Health Technol Inform ; 299: 104-117, 2022 Nov 03.
Artigo em Inglês | MEDLINE | ID: mdl-36325851

RESUMO

From beginning to today, pHealth has been a data driven service that collects and uses personal health information (PHI) for personal health services and personalized healthcare. As a result, pHealth services use intensively ICT technology, sensors, computers and mathematical algorithms. In past, pHealth applications were focused to certain health or sickness related problem, but in today they use mobile devices, wireless networks, Web-technology and Cloud platforms. In future, pHealth uses information systems that are highly distributed, dynamic, increasingly autonomous, multi-stakeholder data driven eco-system having ability to monitor anywhere person's regular life, movements and health related behaviours. Because privacy and trust are pre-requirements for successful pHealth, this development raises huge privacy and trust challenges to be solved. Researchers have shown that current privacy approaches and solutions used in pHealth do not offer acceptable level of privacy, and trust is only an illusion. This indicates, that today's privacy models and technology shall not be moved to the future pHealth. The authors have analysed interesting new privacy and trust ideas published in journals, and found that they seem to be effective but offer only a partial solution. To solve this weakness, the authors used a holistic system view to aspects impacting privacy and trust in pHealth, and created a template that can be used in planning and development future pHealth services. The authors also propose a tentative solution for future trustworthy pHealth. It combines privacy as personal property and trust as legal binding fiducial duty approaches, and uses a Blockchain-based smart contract solution to store person's privacy and trust requirements and service providers' promises.


Assuntos
Registros de Saúde Pessoal , Privacidade , Humanos , Confiança , Computadores , Computadores de Mão
19.
Artigo em Inglês | MEDLINE | ID: mdl-36360992

RESUMO

Nowadays, water pollution has become a global issue affecting most countries in the world. Water quality should be monitored to alert authorities on water pollution, so that action can be taken quickly. The objective of the review is to study various conventional and modern methods of monitoring water quality to identify the strengths and weaknesses of the methods. The methods include the Internet of Things (IoT), virtual sensing, cyber-physical system (CPS), and optical techniques. In this review, water quality monitoring systems and process control in several countries, such as New Zealand, China, Serbia, Bangladesh, Malaysia, and India, are discussed. Conventional and modern methods are compared in terms of parameters, complexity, and reliability. Recent methods of water quality monitoring techniques are also reviewed to study any loopholes in modern methods. We found that CPS is suitable for monitoring water quality due to a good combination of physical and computational algorithms. Its embedded sensors, processors, and actuators can be designed to detect and interact with environments. We believe that conventional methods are costly and complex, whereas modern methods are also expensive but simpler with real-time detection. Traditional approaches are more time-consuming and expensive due to the high maintenance of laboratory facilities, involve chemical materials, and are inefficient for on-site monitoring applications. Apart from that, previous monitoring methods have issues in achieving a reliable measurement of water quality parameters in real time. There are still limitations in instruments for detecting pollutants and producing valuable information on water quality. Thus, the review is important in order to compare previous methods and to improve current water quality assessments in terms of reliability and cost-effectiveness.


Assuntos
Internet das Coisas , Qualidade da Água , Reprodutibilidade dos Testes , Poluição da Água , Computadores
20.
Artigo em Inglês | MEDLINE | ID: mdl-36361190

RESUMO

Patients with mild traumatic brain injury (MTBI) with intracerebral hemorrhage (ICH), particularly those at higher risk of having ICH progression, are typically prescribed a second head Computer Tomography (CT) scan to monitor the disease development. This study aimed to evaluate the role of a repeat head CT in MTBI patients at a higher risk of ICH progression by comparing the intervention rate between patients with and without ICH progression. METHODS: 192 patients with MTBI and ICH were treated between November 2019 to December 2020 at a single level II trauma center. The Glasgow Coma Scale (GCS) was used to classify MTBI, and initial head CT was performed according to the Canadian CT head rule. Patients with a higher risk of ICH progression, including the elderly (≥65 years old), patients on antiplatelets or anticoagulants, or patients with an initial head CT that revealed EDH, contusional bleeding, or SDH > 5 mm, and multiple ICH underwent a repeat head CT within 12 to 24 h later. Data regarding types of intervention, length of stay in the hospital, and outcome were collected. The risk of further neurological deterioration and readmission rates were compared between these two groups. All patients were followed up in the clinic after one month or contacted via phone if they did not return. RESULTS: 189 patients underwent scheduled repeated head CT, 18% had radiological intracranial bleed progression, and 82% had no changes. There were no statistically significant differences in terms of intervention rate, risk of neurological deterioration in the future, or readmission between them. CONCLUSION: Repeat head CT in mild TBI patients with no neurological deterioration is not recommended, even in patients with a higher risk of ICH progression.


Assuntos
Concussão Encefálica , Humanos , Idoso , Canadá , Tomografia Computadorizada por Raios X/métodos , Hemorragia Cerebral/diagnóstico por imagem , Computadores , Encéfalo , Estudos Retrospectivos
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