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Techniques of rapid sequence induction and intubation at a university teaching hospital 被引量:1
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作者 Endale G.Gebremedhn Kefale D.Gebeyehu +2 位作者 Hintsawit A.Ayana Keder E.Oumer Hulgize N.Ayalew 《World Journal of Emergency Medicine》 CAS 2014年第2期107-111,共5页
BACKGROUND: Rapid sequence induction and intubation(RSII) is a medical procedure involving a prompt induction of general anesthesia by using cricoid pressure that prevents regurgitation of gastric contents. The factor... BACKGROUND: Rapid sequence induction and intubation(RSII) is a medical procedure involving a prompt induction of general anesthesia by using cricoid pressure that prevents regurgitation of gastric contents. The factors affecting RSII are prophylaxis for aspiration, preoxygenation, drug and equipment preparation for RSII, ventilation after induction till intubation and patient condition. We sometimes saw diffi culties with the practice of this technique in our hospital operation theatres. The aim of this study was to assess the techniques of rapid sequence induction and intubation.METHODS: Hospital based observational study was conducted with a standardized checklist. All patients who were operated upon under general anesthesia during the study period were included. The techniques of RSII were observed during the induction of anesthesia by trained anesthetists.RESULTS: Altogether 140 patients were included in this study with a response rate of 95.2%. Prophylaxis was not given to 130 patients(92.2%), and appropriate drugs were not used for RSII in 73 patients(52.1%), equipments for diffi cult intubation in 21(15%), suction machines with catheter not connected and turned on in 122(87.1%), ventilation for patients after induction and before intubation in 41(29.3%), cricoid pressure released before cuff inflation in 12(12.1%), and difficult intubation in 8(5.7%), respectively. RSII with cricoid pressure was applied appropriately in 94(67.1%) patients, but cricoid pressure was not used in 46(32.9%) patients.CONCLUSIONS: The techniques of rapid sequence induction and intubation was low. Training should be given for anesthetists about the techniques of RSII. 展开更多
关键词 rapid sequence INDUCTION INTUBATION Pulmonary aspiration Genera anesthesia
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Ketamine use in adult intensive care unit:a narrative review of emerging applications,efficacy challenges,and safety concerns
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作者 Siyao Zeng Zhipeng Yao +5 位作者 Chunming Guan Shanpeng Cui Zhen Quan Yue Li Junbo Zheng Hongliang Wang 《Emergency and Critical Care Medicine》 2025年第3期153-160,共8页
Ketamine, a dissociative anesthetic with distinct sedative and analgesic properties, is receiving renewed attention in critical care owing toits unique pharmacological profile. Although historically limited by concern... Ketamine, a dissociative anesthetic with distinct sedative and analgesic properties, is receiving renewed attention in critical care owing toits unique pharmacological profile. Although historically limited by concerns over psychoactive side effects, its ability to maintain hemody-namicstability has prompted growing interest in its use in intensive care settings. This narrative review synthesizes emerging evidence on10 potential applications of ketamine in the intensive care unit (ICU), including opioid-sparing analgesia, sedation during mechanical ven-tilation,rapid sequence intubation, and management of sepsis, postcardiac surgery states, acute brain injury, super-refractory status ep-ilepticus,acute severe asthma, delirium, and psychiatric disorders. Although ketamine shows promising advantages—such as reducedopioid use and improved cardiovascular stability—the quality of supporting evidence remains low, with limitations including small samplesizes, study heterogeneity, and methodological concerns. Evidence regarding its impact on long-term outcomes, such as mortality, cog-nitivefunction, and length of ICU stay remains inconclusive. Some data suggest that ketamine may reduce the incidence of ICU deliriumand aid in managing refractory psychiatric conditions;however, concerns about adverse effects—including cardiovascular strain, emer-gencereactions, and potential neurotoxicity—require cautious application. Despite these challenges, the utility of ketamine in patients withhemodynamic instability, particularly in sepsis and during tracheal intubation, highlights its potential as a versatile agent in critical care phar-macotherapy.Currentguidelines recommend restrained, adjunctive use pending further high-quality evidence. This review emphasizes theneed for large-scale, multicenter randomized controlled trials to define the role of ketamine, refine dosing strategies, and assess safetyacross diverse ICU populations. As clinical interest expands, the integration of ketamine into ICU practice must be guided by both inno-vationand vigilant safety monitoring. 展开更多
关键词 Intensive care unit KETAMINE Mechanical ventilation Opioid consumption rapid sequence intubation SEPSIS
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S3Det:a fast object detector for remote sensing images based on artificial to spiking neural network conversion
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作者 Li CHEN Fan ZHANG +3 位作者 Guangwei XIE Yanzhao GAO Xiaofeng QI Mingqian SUN 《Frontiers of Information Technology & Electronic Engineering》 2025年第5期713-727,共15页
Artificial neural networks(ANNs)have made great strides in the field of remote sensing image object detection.However,low detection efficiency and high power consumption have always been significant bottlenecks in rem... Artificial neural networks(ANNs)have made great strides in the field of remote sensing image object detection.However,low detection efficiency and high power consumption have always been significant bottlenecks in remote sensing.Spiking neural networks(SNNs)process information in the form of sparse spikes,creating the advantage of high energy efficiency for computer vision tasks.However,most studies have focused on simple classification tasks,and only a few researchers have applied SNNs to object detection in natural images.In this study,we consider the parsimonious nature of biological brains and propose a fast ANN-to-SNN conversion method for remote sensing image detection.We establish a fast sparse model for pulse sequence perception based on group sparse features and conduct transform-domain sparse resampling of the original images to enable fast perception of image features and encoded pulse sequences.In addition,to meet accuracy requirements in relevant remote sensing scenarios,we theoretically analyze the transformation error and propose channel self-decaying weighted normalization(CSWN)to eliminate neuron overactivation.We propose S3Det,a remote sensing image object detection model.Our experiments,based on a large publicly available remote sensing dataset,show that S3Det achieves an accuracy performance similar to that of the ANN.Meanwhile,our transformed network is only 24.32%as sparse as the benchmark and consumes only 1.46 W,which is 1/122 of the original algorithm’s power consumption. 展开更多
关键词 Remote sensing image Object detection Spiking neural networks(SNNs) Spiking sequence rapid sensing(SSRS) Channel self-decaying weighted normalization(CSWN)
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