Meteor burst communication(MBC),a niche yet revolutionary wireless communication paradigm,exploits the transient ionized trails generated by meteors ablating in Earth’s atmosphere to enable sporadic yet resilient lon...Meteor burst communication(MBC),a niche yet revolutionary wireless communication paradigm,exploits the transient ionized trails generated by meteors ablating in Earth’s atmosphere to enable sporadic yet resilient long-distance radio links.Known for its exceptional resilience,robustness,and sustained connectivity,MBC holds significant promise for applications in emergency communications,remote area connectivity,military/defense systems,and environmental monitoring.However,the scientific exploration and application of MBC have long been highly challenging.In particular,under the combined influence of multiple physical field factors,the channel experiences superimposed multiple random fading effects,exhibiting bursty,highly time-varying,and strongly random characteristics.This persistent technical challenge has resulted in the absence of a practical statistical channel model for MBC to date.展开更多
Physician well-being is vital to delivering high-quality emergency care.A supported and healthy emergency medicine workforce leads to better patient outcomes,fewer medical errors,and greater job satisfaction and staff...Physician well-being is vital to delivering high-quality emergency care.A supported and healthy emergency medicine workforce leads to better patient outcomes,fewer medical errors,and greater job satisfaction and staff retention.[1,2]Emergency physicians(EPs)face unique pressures,including shift work,high patient volumes and acuities,overcrowding,and systemic inefficiencies that escalate their risk of burnout.As a result,EPs have reported the highest rates of burnout among physician specialties.展开更多
Neutropenic fever(NF)is an oncologic emergency associated with significant mortality and healthcare burden in patients with hematologic and solid organ malignancies.Cancer patients with fever often present to the emer...Neutropenic fever(NF)is an oncologic emergency associated with significant mortality and healthcare burden in patients with hematologic and solid organ malignancies.Cancer patients with fever often present to the emergency department(ED).The American Society of Clinical Oncology and the European Society for Medical Oncology recommend administering the first dose of empirical antibiotics to patients with NF within 1 h of ED triage.展开更多
Emergency airway management is time-critical and risky.Patients face substantial chances of hypoxemia,hypotension,and cardiac arrest around the time of intubation.[1,2]Adverse periintubation events remain frequent in ...Emergency airway management is time-critical and risky.Patients face substantial chances of hypoxemia,hypotension,and cardiac arrest around the time of intubation.[1,2]Adverse periintubation events remain frequent in critically ill patients,even when modern devices and drugs are used.[1,2]In many cases,the tube goes in,but the patient still comes to harm because the physiology and context are not respected.展开更多
BACKGROUND:Airway management is a core competence in emergency medicine.International registries have described indications,techniques,and outcomes of endotracheal intubation,yet contemporary data from German emergenc...BACKGROUND:Airway management is a core competence in emergency medicine.International registries have described indications,techniques,and outcomes of endotracheal intubation,yet contemporary data from German emergency departments(EDs) are scarce.We conducted a multicenter prospective registry study in Thuringia,to characterize indications,techniques,success rates,and complications of ED intubations.METHODS:From February 2023 to January 2024,six Thuringian EDs participated in a prospective observational registry(www.airwayregistry.eu).All consecutive intubations were documented anonymously using a standardized digital form.Demographics,indications,methods,equipment,operator characteristics,first pass success(FPS),overall success,and complications were captured.Descriptive statistics were used.RESULTS:We analyzed 117 intubations(63.2% male;mean age 68.4 years,range 2–98 years).FPS was 88.9%(104/117),second pass success was 4.3% and third pass success was 6.8%;overall success was 100%.Rapid sequence intubation(RSI) was used in 77.8% of intubations and delayed sequence intubation(DSI) in 21.4%;10.3% were performed without medication.Direct laryngoscopy(DL) was used in 65.0% and videolaryngoscopy(VL) in 34.2%.FPS was higher with VL than DL(92.5% vs.88.2%).The most common indications were cardiopulmonary resuscitation(14.5%) and stroke/ischemia(13.7%);intracranial hemorrhage accounted for 13.7%.Complications occurred in 39% of cases,most frequently hypotension(23.9%) and catecholamine requirement(12.0%).A difficult airway was anticipated in 30.8%.CONCLUSION:In this multicenter snapshot from German EDs,overall intubation success was high but complications—especially peri-intubation hypotension—were common.VL yielded higher FPS yet was used less frequently than DL.Standardized protocols,hemodynamic optimization,and broader VL adoption may improve safety and performance.展开更多
BACKGROUND:This study aims to develop and validate a machine learning-based in-hospital mortality predictive model for acute aortic syndrome(AAS)in the emergency department(ED)and to derive a simplifi ed version suita...BACKGROUND:This study aims to develop and validate a machine learning-based in-hospital mortality predictive model for acute aortic syndrome(AAS)in the emergency department(ED)and to derive a simplifi ed version suitable for rapid clinical application.METHODS:In this multi-center retrospective cohort study,AAS patient data from three hospitals were analyzed.The modeling cohort included data from the First Affiliated Hospital of Zhengzhou University and the People’s Hospital of Xinjiang Uygur Autonomous Region,with Peking University Third Hospital data serving as the external test set.Four machine learning algorithms—logistic regression(LR),multilayer perceptron(MLP),Gaussian naive Bayes(GNB),and random forest(RF)—were used to develop predictive models based on 34 early-accessible clinical variables.A simplifi ed model was then derived based on fi ve key variables(Stanford type,pericardial eff usion,asymmetric peripheral arterial pulsation,decreased bowel sounds,and dyspnea)via Least Absolute Shrinkage and Selection Operator(LASSO)regression to improve ED applicability.RESULTS:A total of 929 patients were included in the modeling cohort,and 210 were included in the external test set.Four machine learning models based on 34 clinical variables were developed,achieving internal and external validation AUCs of 0.85-0.90 and 0.73-0.85,respectively.The simplifi ed model incorporating fi ve key variables demonstrated internal and external validation AUCs of 0.71-0.86 and 0.75-0.78,respectively.Both models showed robust calibration and predictive stability across datasets.CONCLUSION:Both kinds of models were built based on machine learning tools,and proved to have certain prediction performance and extrapolation.展开更多
BACKGROUND: Aortic dissection(AD) is still a challenging diagnosis with poor prognosis, and its misdiagnosis remains an unresolved problem. Postmortem examination has long been deemed important for understanding the d...BACKGROUND: Aortic dissection(AD) is still a challenging diagnosis with poor prognosis, and its misdiagnosis remains an unresolved problem. Postmortem examination has long been deemed important for understanding the diseases and determining the cause of death. We aim to investigate the concordance between clinical diagnosis and autopsy findings and to identify the most common clinical “red flags” and the cognitive errors involved in the management of AD.METHODS: This retrospective, observational, single-centre study analysed a series of 30 forensic autopsies focusing on the 7 cases of AD. Clinical-autopsy discrepancies were categorised into six predefined classes, and cognitive biases were classified into four types. All records were independently reviewed by two emergency physicians and two forensic pathologists, with consultation from a cognitive psychologist and consensus reached through collegial discussion.RESULTS: These seven patients had a mean age of 59 years(range 48–71 years). Loss of consciousness(4/7 patients), lumbar pain(4/7), psychomotor agitation(4/7) and two or more ER visits were considered red flags for AD. The most common malperfusion syndromes were coronary and femoral-iliac. Among the types of diagnostic errors, faulty verification bias was the most common, followed by biases related to faulty information processing. In three patients(43%), the failure to diagnose AD directly contributed to death, as an earlier diagnosis would likely have altered clinical management and improved survival outcomes.CONCLUSION: There remains a significant unmet need to increase awareness and clinical suspicion of AD in patients presenting with atypical symptoms, non-traditional risk factors, or ambiguous physical findings. Furthermore, identifying and sharing the cognitive underpinnings of errors may aid in reducing misdiagnosis and optimizing both the timing and modality of clinical management.展开更多
Usually,the disposal of the emergency is organized as a cross-organization emergency response process(CERP),where various resources are involved.The lack of these resources may cause resource conflicts that can delay ...Usually,the disposal of the emergency is organized as a cross-organization emergency response process(CERP),where various resources are involved.The lack of these resources may cause resource conflicts that can delay or even suspend the CERP,thereby increasing the risk imposed on life,property,and the environment.In this paper,we propose a novel approach to construct conflict-free and efficient CERPs.This approach first presents a branching place-based method to decompose a CERP into a set of execution paths.In essence,an execution path refers to a process fragment without choice structures corresponding to some kind of process instance in the CERP.In practice,each execution of the CERP can only follow such an execution path.Next,it determines whether each execution path contains resource conflicts.If not,then the execution path is considered conflict-free;otherwise,it will be resolved using a delay-based strategy.Lastly,it introduces an execution path-oriented strategy to merge all originally conflict-free and resolved execution paths to form a resolved CERP,in which each execution of it is conflict-free and efficient.The proposed approach is implemented in the tool RCTool,and a group of experiments conducted on actual CERPs demonstrates that it is more effective in constructing conflict-free and efficient CERPs compared to existing proposals,and its computation overhead is also acceptable in practice.展开更多
Trauma remains one of the leading causes of death worldwide and represents a major public health burden,particularly among young adults.[1,2]Traumatic injuries account for millions of deaths annually,with hemorrhage b...Trauma remains one of the leading causes of death worldwide and represents a major public health burden,particularly among young adults.[1,2]Traumatic injuries account for millions of deaths annually,with hemorrhage being one of the most preventable causes of traumarelated mortality.Penetrating polytrauma is frequently associated with severe organ injury,rapid blood loss,and high mortality.When penetrating polytrauma is complicated by hemorrhagic shock,the clinical situation becomes extremely critical and requires immediate hemorrhage control and rapid resuscitation.展开更多
Clinical trials in emergency settings are challenging and account for only about 1%of all clinical trials.[1]Approximately 50%of randomized controlled trials(RCTs)in emergency and critical care settings fail to recrui...Clinical trials in emergency settings are challenging and account for only about 1%of all clinical trials.[1]Approximately 50%of randomized controlled trials(RCTs)in emergency and critical care settings fail to recruit patients to time and target.[2]Children are not just small adults.Conducting trials in pediatrics is more challenging than it is in adults.Pediatric patients in emergency and intensive care settings are the most vulnerable population.Therefore,conducting RCTs in pediatric emergency and intensive care settings is challenging because of the special biological heterogeneity and ethical challenges associated with children.展开更多
In the initial phase of emergency response to geological disasters,decision-makers are frequently challenged by extreme environmental uncertainty and a critical shortage of quantitative monitoring data.To bridge this ...In the initial phase of emergency response to geological disasters,decision-makers are frequently challenged by extreme environmental uncertainty and a critical shortage of quantitative monitoring data.To bridge this decision-making gap prior to the full establishment of monitoring networks,this study systematically selects emergency monitoring indicators by first characterizing geological disasters and identifying monitoring requirements through a literature review.An evaluation model is subsequently developed,comprising four primary factors—monitorability,timeliness,sensitivity,and feasibility—and nine secondary factors related to accuracy,stability,monitoring frequency,and sensitivity to catastrophic geological changes.The triangular fuzzy analytic hierarchy process(TriFAHP)is employed to address the inherent fuzziness in expert judgment,while a deep belief network(DBN)extracts expert decision features and generates an individual correction coefficient(β)to optimize weight allocation.The model yields a consistency ratio(CR)of 0.0329,confirming high reliability of the derived weights.Factor weights are ranked as follows:monitorability(0.3808)>timeliness(0.3353)>sensitivity(0.1874)>feasibility(0.0966).Secondary factors,including accuracy(0.2083),monitoring frequency(0.2682),and indicator sensitivity to Disaster abrupt changes(0.0948),significantly influence the model’s early warning efficacy.The model is applied to an emergency monitoring scenario involving slope collapse,evaluating 16 commonly used indicators.Displacement,velocity,acceleration,and rainfall are identified as key monitoring indicators.These indicators are subsequently applied to the emergency monitoring of a slope collapse in Inner Mongolia,where they demonstrate effectiveness in supporting early warning decisions,thereby validating the model’s practicality and reliability.Further analysis reveals a decision-making tendency among experts to prioritize monitorability,while placing relatively less intrinsic value on emergency response speed.This study advances the theoretical framework of geological disaster management by shifting the focus from postdeployment data analysis to pre-deployment strategic configuration,offering a systematic and quantitative indexing tool to solve the initial monitoring configuration problem under data-scarce and highly uncertain emergency conditions.展开更多
Emergency logistics is an important safeguard to ensure the safety of human beings,properties,and economic activities under major disasters and emergencies.This study proposed a vulnerability assessment framework for ...Emergency logistics is an important safeguard to ensure the safety of human beings,properties,and economic activities under major disasters and emergencies.This study proposed a vulnerability assessment framework for emergency logistics systems(ELS)from three dimensions:exposure,sensitivity,and adaptability,in which the principal component analysis and comprehensive index evaluation methods are adopted.Furthermore,a geographically weighted regression model(GWR)was established to explore the driving mechanism of vulnerability change of ELS.By taking provincial-level data in the mainland of China from 2010 to 2022,this empirical study found that ELS vulnerability showed strong fluctuation,in which the overall trend was upward during 2010–2018,but downward during 2019–2022.Meanwhile,ELS vulnerability was generally low in southeast China and high in northwest China,and strength of this spatial clustering showed a fluctuating upward trend.Four driving factors affected the spatiotemporal change of vulnerability—ecological threat level mainly positively drove the change,while natural environment protection level,logistics transportation capacity,and logistics fixed asset investment were negatively correlated.This study provides management implications for improving regional emergency logistics systems according to their spatiotemporal variation and local conditions.展开更多
High-quality clinical databases are essential for advancing research and clinical practice in emergency and critical care medicine.With the widespread adoption of Electronic Health Record(EHR)systems across hospitals ...High-quality clinical databases are essential for advancing research and clinical practice in emergency and critical care medicine.With the widespread adoption of Electronic Health Record(EHR)systems across hospitals in China,vast amounts of clinical information have been digitally archived.Emergency departments(EDs)and intensive care units(ICUs)represent critically datademanded environments.展开更多
Aortic saddle embolism(ASE)is a rare but catastrophic vascular emergency characterized by acute occlusion of the aortic bifurcation,leading to bilateral lower limb ischemia and multiorgan dysfunction.Despite advances ...Aortic saddle embolism(ASE)is a rare but catastrophic vascular emergency characterized by acute occlusion of the aortic bifurcation,leading to bilateral lower limb ischemia and multiorgan dysfunction.Despite advances in imaging and surgical techniques,ASE has high morbidity and mortality rates,particularly when diagnosis or intervention is delayed.Here,we report two patients admitted to our center to increase awareness among emergency physicians.展开更多
After a disaster,due to transportation constraints,transportation priority setting,emergency resource shortage and imprecise assessment of emergency resources,it is easy to cause an inaccurate match between the types ...After a disaster,due to transportation constraints,transportation priority setting,emergency resource shortage and imprecise assessment of emergency resources,it is easy to cause an inaccurate match between the types of supply and demand for emergency resources.It aggravates the psychological pain of the victims.To address this gap,combining descriptive analysis,correlation analysis,and regression analysis,the mechanisms and internal pathways of imprecise emergency material supply-demand type on psychological pain were comprehensively examined.Based on Maslow's hierarchy of needs theory,four priority levels for emergency material types are proposed.A survey questionnaire was designed using the Numerical Rating Scale(NRS),which included 12 scenarios.Nine typical waterlogging sites in Changsha,Hunan Province,China,were selected as field survey sites,and 162 valid samples were collected through face-to-face interviews.The results show that:(1)Emergency material types have a significant impact on psychological pain,and this impact is related to the priority level of the material types.(2)The impact of the matching degree of emergency material supply-demand types on psychological pain is moderated by the priority level of the demanded material types,exhibiting a reverse compensation effect.(3)The impact of demographic factors on the degree of psychological pain experienced by victims shows complex differences.Most surprisingly,the higher the monthly income is,the more difficult it is to accept the inaccurate supply-demand of emergency supplies.Because high-income people have higher expectations for quality of life,their psychological pain is more obvious.展开更多
In accident scenarios on freeways,traffic congestion,sharp declines in capacity,and the limitations of closed systems where vehicles cannot turn around or exit freely often pose serious challenges.To address these iss...In accident scenarios on freeways,traffic congestion,sharp declines in capacity,and the limitations of closed systems where vehicles cannot turn around or exit freely often pose serious challenges.To address these issues,this study develops an improved Markov Decision Process(MDP)framework for dynamic emergency lane opening.Compared with traditional MDP-based traffic control models,the proposed method integrates three enhancements:Firstly,an explicit action decision space transition mechanism that couples variable speed limits with emergency lane opening decisions;Secondly,vehicle-type-differentiated actions to support fine-grained and adaptive opening strategies;and a redesigned reward function incorporating congestion cost,action cost,rewards earned and penalty received to ensure decision rationality and operational feasibility.Based on this improved structure,the optimal strategy is derived using the value iteration algorithm.Finally,simulation results using SUMO demonstrate that under the innermost-lane accident scenario,the optimal strategy is to first implement“variable speed limits”,followed by“opening the emergency lane to all vehicles”.This approach increases average speed by 10.81%but enlarges the headway between vehicles at the detection cross-section,leading to an 8.79%decrease in vehicle throughput.Under the outermost-lane accident scenario,the optimal strategy is to first implement“variable speed limits”,followed by“opening the emergency lane to HOVs”,which increases average speed by 5.47%while reducing vehicle throughput by 3.13%.These results validate the effectiveness of the proposed model.展开更多
BACKGROUND Disorders of consciousness are critical emergencies requiring timely intervention to improve outcomes.Process reengineering using checklists can enhance efficiency in clinical settings.AIM To evaluate wheth...BACKGROUND Disorders of consciousness are critical emergencies requiring timely intervention to improve outcomes.Process reengineering using checklists can enhance efficiency in clinical settings.AIM To evaluate whether checklist-based process reengineering in the Emergency Department reduces emergency stay duration and hospitalization time,and improves rescue success rate,prognosis,and satisfaction among patients with disorders of consciousness.METHODS From January 2021 to December 2023,our hospital admitted 400 emergency consciousness disorders patients using purposive sampling.The first 200,undergoing rescue without the checklist-based process,formed the control group.The next 200,post-implementation,constituted the observation group.We collected data on emergency stay duration,rescue success rate,hospitalization duration,and patient satisfaction for analysis.Patient prognosis in both groups was compared.RESULTS The observation group showed significantly shorter emergency stay duration,time to recovery,and overall hospitalization duration(intensive care unit,general ward,total)compared to the control group(P<0.05).The observation group had a higher rescue success rate(P<0.05)and better recovery rate(P<0.05)than the control group.Both medical staff and patients’family members reported higher satisfaction with the emergency rescue model after checklist-based process reengineering compared to the conventional emergency rescue model(P<0.05).CONCLUSION Emergency process reengineering based on checklists can effectively reduce the emergency stay duration for patients with consciousness disorders,improve rescue success rates,enhance patient prognosis,and increase overall medical and patient satisfaction.展开更多
BACKGROUND Hypertensive emergencies,characterized by severe blood pressure elevation(>180/120 mmHg)with end-organ damage,pose significant risks in patients with coronary artery disease(CAD),where rapid yet safe red...BACKGROUND Hypertensive emergencies,characterized by severe blood pressure elevation(>180/120 mmHg)with end-organ damage,pose significant risks in patients with coronary artery disease(CAD),where rapid yet safe reduction is crucial to prevent ischemia and complications.Nitroglycerin and labetalol are common intravenous agents,but comparative data in CAD are limited.AIM To compare efficacy and safety of nitroglycerin vs labetalol in hypertensive emergencies among CAD patients,assessing blood pressure control,reductions,adverse events,outcomes,and utilization.METHODS Retrospective cohort of 563 CAD patients with hypertensive emergency(2018-2024)receiving IV nitroglycerin(n=282)or labetalol(n=281).Primary:Time to target blood pressure[systolic blood pressure(SBP)<160 mmHg,diastolic blood pressure<100 mmHg].Secondary:Blood pressure reductions,major adverse cardiovascular event,safety,utilization.Analyzed via t-tests,χ2,multivariable logistic regression adjusting for age,gender,myocardial infarction/heart failure history,diabetes,baseline SBP,chest pain.RESULTS Baseline characteristics were balanced.Labetalol achieved target blood pressure faster(25.14±4.92 minutes vs 30.38±5.16 minutes;P<0.0001),but nitroglycerin yielded greater SBP(50.78±9.45 mmHg vs 45.20±10.46 mmHg;P<0.0001)and diastolic blood pressure reductions(29.86±8.63 mmHg vs 28.02±7.74 mmHg;P=0.0079).Nitroglycerin showed trends toward lower major adverse cardiovascular event[adjusted odds ratio(AOR):0.72;95%confidence interval(CI):0.42-1.24],reduced bradycardia(AOR:0.14;95%CI:0.05-0.38),shorter intensive care unit(2.99±1.04 days vs 3.54±1.02 days;P<0.0001)and hospital stays(6.92±1.93 days vs 7.99±2.06 days;P<0.0001),lower 30-day readmissions(AOR:0.49;95%CI:0.27-0.88),and smaller biomarker increases(delta troponin:0.10±0.05 ng/mL vs 0.21±0.10 ng/mL;P<0.0001).CONCLUSION While labetalol offers faster blood pressure control,nitroglycerin is associated with greater reductions,fewer adverse events like bradycardia,and improved utilization(shorter stays,fewer readmissions)in CAD-associated hypertensive emergencies,supporting its use in ischemic contexts.展开更多
Owing to their swift,precise,and tireless capabilities,artificial intelligence(AI)applications in emergency radiology are becoming powerful tools for radiologists.These applications,which are useful for improving diag...Owing to their swift,precise,and tireless capabilities,artificial intelligence(AI)applications in emergency radiology are becoming powerful tools for radiologists.These applications,which are useful for improving diagnostic efficiency,are also a core engine driving the entire field of emergency medicine toward higher levels of precision,personalization,and efficiency.The integration of AI into emergency radiology thus represents a transformative advancement in precision medicine.We explore herein the expanding applications of AI in emergency radiology,focusing on their potential to enhance diagnostic accuracy,streamline workflows,and improve patient outcomes.By analyzing its current utilization and future directions,we demonstrate how AI is revolutionizing emergency care through intelligent image analysis and decision support systems.Although certain challenges remain,including data security,model interpretability,and clinical implementation standards,the immense potential of AI to reshape emergency workflows,promote precision medicine,and improve patient outcomes is unmistakable.展开更多
Objective: To investigate the clinical effect and prognostic impact of systematic emergency nursing intervention in patients with acute dental trauma. Methods: A total of 48 patients with acute dental trauma admitted ...Objective: To investigate the clinical effect and prognostic impact of systematic emergency nursing intervention in patients with acute dental trauma. Methods: A total of 48 patients with acute dental trauma admitted to the Dental Emergency Department of our hospital between June 2023 and June 2025 were enrolled as research subjects. Patients were divided into an intervention group (n=24) and a routine nursing group (n=24) according to different nursing protocols. Outcomes including pulp vitality retention rate, dental fixation success index, pain intensity (assessed by the Visual Analogue Scale [VAS]), complication incidence, and nursing service satisfaction were compared between the two groups. Results: The intervention group was significantly superior to the control group in pulp vitality retention rate (87.5% vs. 62.5%) and dental fixation success rate (91.7% vs. 70.8%);VAS scores (2.4±0.8 vs. 4.1±1.2) and complication rates (8.3% vs. 29.2%) were significantly lower;overall nursing satisfaction was also markedly higher. All differences were statistically significant (P<0.05). Conclusion: The implementation of scientifically standardized emergency nursing measures in patients with acute dental trauma can significantly improve disease outcomes, reduce adverse events, and enhance patients' comprehensive evaluation of medical services, demonstrating considerable practical value and promising clinical applicability.展开更多
摘要Meteor burst communication(MBC),a niche yet revolutionary wireless communication paradigm,exploits the transient ionized trails generated by meteors ablating in Earth’s atmosphere to enable sporadic yet resilient long-distance radio links.Known for its exceptional resilience,robustness,and sustained connectivity,MBC holds significant promise for applications in emergency communications,remote area connectivity,military/defense systems,and environmental monitoring.However,the scientific exploration and application of MBC have long been highly challenging.In particular,under the combined influence of multiple physical field factors,the channel experiences superimposed multiple random fading effects,exhibiting bursty,highly time-varying,and strongly random characteristics.This persistent technical challenge has resulted in the absence of a practical statistical channel model for MBC to date.
摘要Physician well-being is vital to delivering high-quality emergency care.A supported and healthy emergency medicine workforce leads to better patient outcomes,fewer medical errors,and greater job satisfaction and staff retention.[1,2]Emergency physicians(EPs)face unique pressures,including shift work,high patient volumes and acuities,overcrowding,and systemic inefficiencies that escalate their risk of burnout.As a result,EPs have reported the highest rates of burnout among physician specialties.
基金approved by the Institutional Review Board(HKU/HA HKW IRB No.UW21-409)informed consent was waived because of the retrospective analysis of de-identified data。
摘要Neutropenic fever(NF)is an oncologic emergency associated with significant mortality and healthcare burden in patients with hematologic and solid organ malignancies.Cancer patients with fever often present to the emergency department(ED).The American Society of Clinical Oncology and the European Society for Medical Oncology recommend administering the first dose of empirical antibiotics to patients with NF within 1 h of ED triage.
摘要Emergency airway management is time-critical and risky.Patients face substantial chances of hypoxemia,hypotension,and cardiac arrest around the time of intubation.[1,2]Adverse periintubation events remain frequent in critically ill patients,even when modern devices and drugs are used.[1,2]In many cases,the tube goes in,but the patient still comes to harm because the physiology and context are not respected.
摘要BACKGROUND:Airway management is a core competence in emergency medicine.International registries have described indications,techniques,and outcomes of endotracheal intubation,yet contemporary data from German emergency departments(EDs) are scarce.We conducted a multicenter prospective registry study in Thuringia,to characterize indications,techniques,success rates,and complications of ED intubations.METHODS:From February 2023 to January 2024,six Thuringian EDs participated in a prospective observational registry(www.airwayregistry.eu).All consecutive intubations were documented anonymously using a standardized digital form.Demographics,indications,methods,equipment,operator characteristics,first pass success(FPS),overall success,and complications were captured.Descriptive statistics were used.RESULTS:We analyzed 117 intubations(63.2% male;mean age 68.4 years,range 2–98 years).FPS was 88.9%(104/117),second pass success was 4.3% and third pass success was 6.8%;overall success was 100%.Rapid sequence intubation(RSI) was used in 77.8% of intubations and delayed sequence intubation(DSI) in 21.4%;10.3% were performed without medication.Direct laryngoscopy(DL) was used in 65.0% and videolaryngoscopy(VL) in 34.2%.FPS was higher with VL than DL(92.5% vs.88.2%).The most common indications were cardiopulmonary resuscitation(14.5%) and stroke/ischemia(13.7%);intracranial hemorrhage accounted for 13.7%.Complications occurred in 39% of cases,most frequently hypotension(23.9%) and catecholamine requirement(12.0%).A difficult airway was anticipated in 30.8%.CONCLUSION:In this multicenter snapshot from German EDs,overall intubation success was high but complications—especially peri-intubation hypotension—were common.VL yielded higher FPS yet was used less frequently than DL.Standardized protocols,hemodynamic optimization,and broader VL adoption may improve safety and performance.
基金supported by the special fund of the National Clinical Key Specialty Construction Program[(2022)301-2305].
摘要BACKGROUND:This study aims to develop and validate a machine learning-based in-hospital mortality predictive model for acute aortic syndrome(AAS)in the emergency department(ED)and to derive a simplifi ed version suitable for rapid clinical application.METHODS:In this multi-center retrospective cohort study,AAS patient data from three hospitals were analyzed.The modeling cohort included data from the First Affiliated Hospital of Zhengzhou University and the People’s Hospital of Xinjiang Uygur Autonomous Region,with Peking University Third Hospital data serving as the external test set.Four machine learning algorithms—logistic regression(LR),multilayer perceptron(MLP),Gaussian naive Bayes(GNB),and random forest(RF)—were used to develop predictive models based on 34 early-accessible clinical variables.A simplifi ed model was then derived based on fi ve key variables(Stanford type,pericardial eff usion,asymmetric peripheral arterial pulsation,decreased bowel sounds,and dyspnea)via Least Absolute Shrinkage and Selection Operator(LASSO)regression to improve ED applicability.RESULTS:A total of 929 patients were included in the modeling cohort,and 210 were included in the external test set.Four machine learning models based on 34 clinical variables were developed,achieving internal and external validation AUCs of 0.85-0.90 and 0.73-0.85,respectively.The simplifi ed model incorporating fi ve key variables demonstrated internal and external validation AUCs of 0.71-0.86 and 0.75-0.78,respectively.Both models showed robust calibration and predictive stability across datasets.CONCLUSION:Both kinds of models were built based on machine learning tools,and proved to have certain prediction performance and extrapolation.
摘要BACKGROUND: Aortic dissection(AD) is still a challenging diagnosis with poor prognosis, and its misdiagnosis remains an unresolved problem. Postmortem examination has long been deemed important for understanding the diseases and determining the cause of death. We aim to investigate the concordance between clinical diagnosis and autopsy findings and to identify the most common clinical “red flags” and the cognitive errors involved in the management of AD.METHODS: This retrospective, observational, single-centre study analysed a series of 30 forensic autopsies focusing on the 7 cases of AD. Clinical-autopsy discrepancies were categorised into six predefined classes, and cognitive biases were classified into four types. All records were independently reviewed by two emergency physicians and two forensic pathologists, with consultation from a cognitive psychologist and consensus reached through collegial discussion.RESULTS: These seven patients had a mean age of 59 years(range 48–71 years). Loss of consciousness(4/7 patients), lumbar pain(4/7), psychomotor agitation(4/7) and two or more ER visits were considered red flags for AD. The most common malperfusion syndromes were coronary and femoral-iliac. Among the types of diagnostic errors, faulty verification bias was the most common, followed by biases related to faulty information processing. In three patients(43%), the failure to diagnose AD directly contributed to death, as an earlier diagnosis would likely have altered clinical management and improved survival outcomes.CONCLUSION: There remains a significant unmet need to increase awareness and clinical suspicion of AD in patients presenting with atypical symptoms, non-traditional risk factors, or ambiguous physical findings. Furthermore, identifying and sharing the cognitive underpinnings of errors may aid in reducing misdiagnosis and optimizing both the timing and modality of clinical management.
基金supported in part by the National Natural Science Foundation of China(62562063,62262063,62262071,and62472264)the Key Research and Development Program of Yunnan Province(202402AD080002-5,202502AD080004)+4 种基金the Yunnan Revitalization Talents Support Plan(XDYC-CYCX-2022-0009)Yunnan Fundamental Research Projects(202501AS070046)the Key Industry Science and Technology Projects for University Services in Yunnan Province(FWCY-ZNT2024020)the National Funds through FCT(Fundação para a Ciência e a Tecnologia)(UID/04152/2025)–Centro de Investigação em Gestão de Informação(MagIC)/NOVA IMS(UID/PRR/04152/2025)the Natural Science Distinguished Youth Foundation of Shandong Province(ZR2025QA13)。
摘要Usually,the disposal of the emergency is organized as a cross-organization emergency response process(CERP),where various resources are involved.The lack of these resources may cause resource conflicts that can delay or even suspend the CERP,thereby increasing the risk imposed on life,property,and the environment.In this paper,we propose a novel approach to construct conflict-free and efficient CERPs.This approach first presents a branching place-based method to decompose a CERP into a set of execution paths.In essence,an execution path refers to a process fragment without choice structures corresponding to some kind of process instance in the CERP.In practice,each execution of the CERP can only follow such an execution path.Next,it determines whether each execution path contains resource conflicts.If not,then the execution path is considered conflict-free;otherwise,it will be resolved using a delay-based strategy.Lastly,it introduces an execution path-oriented strategy to merge all originally conflict-free and resolved execution paths to form a resolved CERP,in which each execution of it is conflict-free and efficient.The proposed approach is implemented in the tool RCTool,and a group of experiments conducted on actual CERPs demonstrates that it is more effective in constructing conflict-free and efficient CERPs compared to existing proposals,and its computation overhead is also acceptable in practice.
摘要Trauma remains one of the leading causes of death worldwide and represents a major public health burden,particularly among young adults.[1,2]Traumatic injuries account for millions of deaths annually,with hemorrhage being one of the most preventable causes of traumarelated mortality.Penetrating polytrauma is frequently associated with severe organ injury,rapid blood loss,and high mortality.When penetrating polytrauma is complicated by hemorrhagic shock,the clinical situation becomes extremely critical and requires immediate hemorrhage control and rapid resuscitation.
摘要Clinical trials in emergency settings are challenging and account for only about 1%of all clinical trials.[1]Approximately 50%of randomized controlled trials(RCTs)in emergency and critical care settings fail to recruit patients to time and target.[2]Children are not just small adults.Conducting trials in pediatrics is more challenging than it is in adults.Pediatric patients in emergency and intensive care settings are the most vulnerable population.Therefore,conducting RCTs in pediatric emergency and intensive care settings is challenging because of the special biological heterogeneity and ethical challenges associated with children.
基金financed by the National key research and development plan of China(2021YFC3001901)。
摘要In the initial phase of emergency response to geological disasters,decision-makers are frequently challenged by extreme environmental uncertainty and a critical shortage of quantitative monitoring data.To bridge this decision-making gap prior to the full establishment of monitoring networks,this study systematically selects emergency monitoring indicators by first characterizing geological disasters and identifying monitoring requirements through a literature review.An evaluation model is subsequently developed,comprising four primary factors—monitorability,timeliness,sensitivity,and feasibility—and nine secondary factors related to accuracy,stability,monitoring frequency,and sensitivity to catastrophic geological changes.The triangular fuzzy analytic hierarchy process(TriFAHP)is employed to address the inherent fuzziness in expert judgment,while a deep belief network(DBN)extracts expert decision features and generates an individual correction coefficient(β)to optimize weight allocation.The model yields a consistency ratio(CR)of 0.0329,confirming high reliability of the derived weights.Factor weights are ranked as follows:monitorability(0.3808)>timeliness(0.3353)>sensitivity(0.1874)>feasibility(0.0966).Secondary factors,including accuracy(0.2083),monitoring frequency(0.2682),and indicator sensitivity to Disaster abrupt changes(0.0948),significantly influence the model’s early warning efficacy.The model is applied to an emergency monitoring scenario involving slope collapse,evaluating 16 commonly used indicators.Displacement,velocity,acceleration,and rainfall are identified as key monitoring indicators.These indicators are subsequently applied to the emergency monitoring of a slope collapse in Inner Mongolia,where they demonstrate effectiveness in supporting early warning decisions,thereby validating the model’s practicality and reliability.Further analysis reveals a decision-making tendency among experts to prioritize monitorability,while placing relatively less intrinsic value on emergency response speed.This study advances the theoretical framework of geological disaster management by shifting the focus from postdeployment data analysis to pre-deployment strategic configuration,offering a systematic and quantitative indexing tool to solve the initial monitoring configuration problem under data-scarce and highly uncertain emergency conditions.
基金supported by the National Social Science Foundation of China(Grant No.21BJY216)。
摘要Emergency logistics is an important safeguard to ensure the safety of human beings,properties,and economic activities under major disasters and emergencies.This study proposed a vulnerability assessment framework for emergency logistics systems(ELS)from three dimensions:exposure,sensitivity,and adaptability,in which the principal component analysis and comprehensive index evaluation methods are adopted.Furthermore,a geographically weighted regression model(GWR)was established to explore the driving mechanism of vulnerability change of ELS.By taking provincial-level data in the mainland of China from 2010 to 2022,this empirical study found that ELS vulnerability showed strong fluctuation,in which the overall trend was upward during 2010–2018,but downward during 2019–2022.Meanwhile,ELS vulnerability was generally low in southeast China and high in northwest China,and strength of this spatial clustering showed a fluctuating upward trend.Four driving factors affected the spatiotemporal change of vulnerability—ecological threat level mainly positively drove the change,while natural environment protection level,logistics transportation capacity,and logistics fixed asset investment were negatively correlated.This study provides management implications for improving regional emergency logistics systems according to their spatiotemporal variation and local conditions.
基金supported by the National Key Research and Development Program of China(2023YFC3603100 and 2023YFC3603104)“Pioneer”and“Leading Goose”R&D Program of Zhejiang Province(2024C03028)+1 种基金Zhejiang Provincial Natural Science Foundation of China(LQ24H160028)Municipal-University Cooperation Project of Taizhou Institute of Zhejiang University(2024TZSX110).
摘要High-quality clinical databases are essential for advancing research and clinical practice in emergency and critical care medicine.With the widespread adoption of Electronic Health Record(EHR)systems across hospitals in China,vast amounts of clinical information have been digitally archived.Emergency departments(EDs)and intensive care units(ICUs)represent critically datademanded environments.
摘要Aortic saddle embolism(ASE)is a rare but catastrophic vascular emergency characterized by acute occlusion of the aortic bifurcation,leading to bilateral lower limb ischemia and multiorgan dysfunction.Despite advances in imaging and surgical techniques,ASE has high morbidity and mortality rates,particularly when diagnosis or intervention is delayed.Here,we report two patients admitted to our center to increase awareness among emergency physicians.
基金supported by the Provincial Natural Science Foundation of Hunan(No.2025JJ50265)the Graduate Research and Innovation Project of Central South University(No.2024ZZTS0476).
摘要After a disaster,due to transportation constraints,transportation priority setting,emergency resource shortage and imprecise assessment of emergency resources,it is easy to cause an inaccurate match between the types of supply and demand for emergency resources.It aggravates the psychological pain of the victims.To address this gap,combining descriptive analysis,correlation analysis,and regression analysis,the mechanisms and internal pathways of imprecise emergency material supply-demand type on psychological pain were comprehensively examined.Based on Maslow's hierarchy of needs theory,four priority levels for emergency material types are proposed.A survey questionnaire was designed using the Numerical Rating Scale(NRS),which included 12 scenarios.Nine typical waterlogging sites in Changsha,Hunan Province,China,were selected as field survey sites,and 162 valid samples were collected through face-to-face interviews.The results show that:(1)Emergency material types have a significant impact on psychological pain,and this impact is related to the priority level of the material types.(2)The impact of the matching degree of emergency material supply-demand types on psychological pain is moderated by the priority level of the demanded material types,exhibiting a reverse compensation effect.(3)The impact of demographic factors on the degree of psychological pain experienced by victims shows complex differences.Most surprisingly,the higher the monthly income is,the more difficult it is to accept the inaccurate supply-demand of emergency supplies.Because high-income people have higher expectations for quality of life,their psychological pain is more obvious.
基金funded by Shanghai Pujiang Programme grant number[23PJC075]National Natural Science Foundation of China grant number[72501184]+3 种基金Shanghai Philosophy and Social Science Planning Youth Project grant number[2023EGL005]funded by Shanghai Municipal Human Resources and Social Security BureauNationalNatural Science Foundation of ChinaShanghai Planning Office of Philosophyand Social Sciences.
摘要In accident scenarios on freeways,traffic congestion,sharp declines in capacity,and the limitations of closed systems where vehicles cannot turn around or exit freely often pose serious challenges.To address these issues,this study develops an improved Markov Decision Process(MDP)framework for dynamic emergency lane opening.Compared with traditional MDP-based traffic control models,the proposed method integrates three enhancements:Firstly,an explicit action decision space transition mechanism that couples variable speed limits with emergency lane opening decisions;Secondly,vehicle-type-differentiated actions to support fine-grained and adaptive opening strategies;and a redesigned reward function incorporating congestion cost,action cost,rewards earned and penalty received to ensure decision rationality and operational feasibility.Based on this improved structure,the optimal strategy is derived using the value iteration algorithm.Finally,simulation results using SUMO demonstrate that under the innermost-lane accident scenario,the optimal strategy is to first implement“variable speed limits”,followed by“opening the emergency lane to all vehicles”.This approach increases average speed by 10.81%but enlarges the headway between vehicles at the detection cross-section,leading to an 8.79%decrease in vehicle throughput.Under the outermost-lane accident scenario,the optimal strategy is to first implement“variable speed limits”,followed by“opening the emergency lane to HOVs”,which increases average speed by 5.47%while reducing vehicle throughput by 3.13%.These results validate the effectiveness of the proposed model.
基金Supported by 2020 Hebei Province Medical Science Research,No.20200743.
摘要BACKGROUND Disorders of consciousness are critical emergencies requiring timely intervention to improve outcomes.Process reengineering using checklists can enhance efficiency in clinical settings.AIM To evaluate whether checklist-based process reengineering in the Emergency Department reduces emergency stay duration and hospitalization time,and improves rescue success rate,prognosis,and satisfaction among patients with disorders of consciousness.METHODS From January 2021 to December 2023,our hospital admitted 400 emergency consciousness disorders patients using purposive sampling.The first 200,undergoing rescue without the checklist-based process,formed the control group.The next 200,post-implementation,constituted the observation group.We collected data on emergency stay duration,rescue success rate,hospitalization duration,and patient satisfaction for analysis.Patient prognosis in both groups was compared.RESULTS The observation group showed significantly shorter emergency stay duration,time to recovery,and overall hospitalization duration(intensive care unit,general ward,total)compared to the control group(P<0.05).The observation group had a higher rescue success rate(P<0.05)and better recovery rate(P<0.05)than the control group.Both medical staff and patients’family members reported higher satisfaction with the emergency rescue model after checklist-based process reengineering compared to the conventional emergency rescue model(P<0.05).CONCLUSION Emergency process reengineering based on checklists can effectively reduce the emergency stay duration for patients with consciousness disorders,improve rescue success rates,enhance patient prognosis,and increase overall medical and patient satisfaction.
摘要BACKGROUND Hypertensive emergencies,characterized by severe blood pressure elevation(>180/120 mmHg)with end-organ damage,pose significant risks in patients with coronary artery disease(CAD),where rapid yet safe reduction is crucial to prevent ischemia and complications.Nitroglycerin and labetalol are common intravenous agents,but comparative data in CAD are limited.AIM To compare efficacy and safety of nitroglycerin vs labetalol in hypertensive emergencies among CAD patients,assessing blood pressure control,reductions,adverse events,outcomes,and utilization.METHODS Retrospective cohort of 563 CAD patients with hypertensive emergency(2018-2024)receiving IV nitroglycerin(n=282)or labetalol(n=281).Primary:Time to target blood pressure[systolic blood pressure(SBP)<160 mmHg,diastolic blood pressure<100 mmHg].Secondary:Blood pressure reductions,major adverse cardiovascular event,safety,utilization.Analyzed via t-tests,χ2,multivariable logistic regression adjusting for age,gender,myocardial infarction/heart failure history,diabetes,baseline SBP,chest pain.RESULTS Baseline characteristics were balanced.Labetalol achieved target blood pressure faster(25.14±4.92 minutes vs 30.38±5.16 minutes;P<0.0001),but nitroglycerin yielded greater SBP(50.78±9.45 mmHg vs 45.20±10.46 mmHg;P<0.0001)and diastolic blood pressure reductions(29.86±8.63 mmHg vs 28.02±7.74 mmHg;P=0.0079).Nitroglycerin showed trends toward lower major adverse cardiovascular event[adjusted odds ratio(AOR):0.72;95%confidence interval(CI):0.42-1.24],reduced bradycardia(AOR:0.14;95%CI:0.05-0.38),shorter intensive care unit(2.99±1.04 days vs 3.54±1.02 days;P<0.0001)and hospital stays(6.92±1.93 days vs 7.99±2.06 days;P<0.0001),lower 30-day readmissions(AOR:0.49;95%CI:0.27-0.88),and smaller biomarker increases(delta troponin:0.10±0.05 ng/mL vs 0.21±0.10 ng/mL;P<0.0001).CONCLUSION While labetalol offers faster blood pressure control,nitroglycerin is associated with greater reductions,fewer adverse events like bradycardia,and improved utilization(shorter stays,fewer readmissions)in CAD-associated hypertensive emergencies,supporting its use in ischemic contexts.
摘要Owing to their swift,precise,and tireless capabilities,artificial intelligence(AI)applications in emergency radiology are becoming powerful tools for radiologists.These applications,which are useful for improving diagnostic efficiency,are also a core engine driving the entire field of emergency medicine toward higher levels of precision,personalization,and efficiency.The integration of AI into emergency radiology thus represents a transformative advancement in precision medicine.We explore herein the expanding applications of AI in emergency radiology,focusing on their potential to enhance diagnostic accuracy,streamline workflows,and improve patient outcomes.By analyzing its current utilization and future directions,we demonstrate how AI is revolutionizing emergency care through intelligent image analysis and decision support systems.Although certain challenges remain,including data security,model interpretability,and clinical implementation standards,the immense potential of AI to reshape emergency workflows,promote precision medicine,and improve patient outcomes is unmistakable.
摘要Objective: To investigate the clinical effect and prognostic impact of systematic emergency nursing intervention in patients with acute dental trauma. Methods: A total of 48 patients with acute dental trauma admitted to the Dental Emergency Department of our hospital between June 2023 and June 2025 were enrolled as research subjects. Patients were divided into an intervention group (n=24) and a routine nursing group (n=24) according to different nursing protocols. Outcomes including pulp vitality retention rate, dental fixation success index, pain intensity (assessed by the Visual Analogue Scale [VAS]), complication incidence, and nursing service satisfaction were compared between the two groups. Results: The intervention group was significantly superior to the control group in pulp vitality retention rate (87.5% vs. 62.5%) and dental fixation success rate (91.7% vs. 70.8%);VAS scores (2.4±0.8 vs. 4.1±1.2) and complication rates (8.3% vs. 29.2%) were significantly lower;overall nursing satisfaction was also markedly higher. All differences were statistically significant (P<0.05). Conclusion: The implementation of scientifically standardized emergency nursing measures in patients with acute dental trauma can significantly improve disease outcomes, reduce adverse events, and enhance patients' comprehensive evaluation of medical services, demonstrating considerable practical value and promising clinical applicability.