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A review of mass casualty incident triage tools for hospital-based triage. 基于医院的大规模伤亡事件分类工具综述。
IF 2.3 Q3 EMERGENCY MEDICINE Pub Date : 2025-10-01 DOI: 10.4103/tjem.tjem_77_25
Sarah S Abdul-Nabi, Eveline Hitti

Mass casualty incidents (MCIs) pose significant challenges to the healthcare systems, particularly in low-and lower-middle-income countries where prehospital triage is often limited, and hospitals face sudden surges of casualties. While triage tools have been widely studied for field use, their effectiveness in hospital-based MCI response remains unclear. This review examines peer-reviewed studies on hospital-based triage tools used during mass casualties, focusing on their accuracy and applicability. A comprehensive search of MEDLINE identified six relevant studies, conducted across various income settings and utilizing different methodologies, including simulation-based research, retrospective analyses, and real-world debriefings. Several tools were assessed, including Simple Triage and Rapid Treatment, the Modified CareFlight system, and homegrown triage models developed in Berlin and Iran. While some tools showed potential in prioritizing critically ill patients and managing resource allocation, their application in the real-world hospital settings remains insufficiently studied. Existing research is limited by small sample sizes, reliance on simulations, and a lack of validation in live MCI scenarios. Given these gaps, further research is essential to evaluate triage models in real-time, high-volume, and resource-limited environments to ensure effective hospital-based mass-casualty response.

大规模伤亡事件对卫生保健系统构成重大挑战,特别是在院前分诊往往有限、医院面临突然激增的伤亡的低收入和中低收入国家。虽然分诊工具已被广泛研究用于现场使用,但它们在以医院为基础的轻度认知损伤反应中的有效性仍不清楚。本综述审查了同行评议的关于大规模伤亡中使用的基于医院的分诊工具的研究,重点关注其准确性和适用性。对MEDLINE的全面搜索确定了六项相关研究,这些研究在不同的收入环境下进行,利用不同的方法,包括基于模拟的研究、回顾性分析和现实世界的情况汇报。评估了几种工具,包括简单分诊和快速治疗,改进的CareFlight系统,以及在柏林和伊朗开发的本土分诊模型。虽然一些工具显示出对危重病人进行优先排序和管理资源分配的潜力,但它们在现实世界医院环境中的应用仍未得到充分研究。现有的研究受限于样本量小,依赖于模拟,以及缺乏对现场MCI场景的验证。鉴于这些差距,有必要进一步研究以评估实时、大容量和资源有限环境中的分诊模式,以确保有效的基于医院的大规模伤亡响应。
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引用次数: 0
Floral phantosmia and bradycardia: A unique case of digoxin toxicity in an elderly patient. 花幻影和心动过缓:地高辛中毒在老年患者中的独特案例。
IF 2.3 Q3 EMERGENCY MEDICINE Pub Date : 2025-10-01 DOI: 10.4103/tjem.tjem_275_24
Marsida Kasa, Brunilda Elezi, Eglantina Sinamati, Nereida Spahia, Merita Rroji

This case report presents a rare clinical manifestation of digoxin toxicity in a 73-year-old female with acute kidney injury, bradycardia, and unique sensory disturbances, including phantosmia (floral scent hallucinations) and photopsia (seeing sparkles of light). The patient, with a history of hypertension and atrial fibrillation, had been on digoxin for 2 weeks, raising concerns about possible digoxin intoxication. Upon admission, bradycardia, hypokalemia, and elevated serum digoxin levels confirmed toxicity. The patient's olfactory and visual hallucinations, rare symptoms in such cases, gradually resolved after stopping digoxin. This case emphasizes the importance of recognizing subtle and unusual symptoms, like changes in smell and vision, which can enhance early detection, especially in older patients, leading to quicker interventions and better patient outcomes.

本病例报告一例罕见的地高辛毒性临床表现,患者为73岁女性,伴有急性肾损伤、心动过缓和独特的感觉障碍,包括幻视(花香幻觉)和失光(看到闪光)。患者有高血压和房颤病史,已使用地高辛2周,引起对地高辛中毒的关注。入院时,心动过缓,低钾血症和血清地高辛水平升高证实毒性。患者的嗅觉和视觉幻觉,这类病例中罕见的症状,在停用地高辛后逐渐消失。该病例强调了识别细微和不寻常症状(如嗅觉和视觉变化)的重要性,这可以加强早期发现,特别是在老年患者中,从而更快地进行干预,改善患者预后。
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引用次数: 0
Evaluation of the relationship between the hemoglobin, albumin, lymphocyte, platelet score, and clinical prognosis in patients with acute pancreatitis in the emergency department. 急诊科急性胰腺炎患者血红蛋白、白蛋白、淋巴细胞、血小板评分与临床预后的关系
IF 2.3 Q3 EMERGENCY MEDICINE Pub Date : 2025-10-01 DOI: 10.4103/tjem.tjem_167_25
Emine Sarcan, Ahmet Burak Erdem, Şeyda Gedikaslan, Ali Kablan, Yusuf Coşkun

Objectives: In acute pancreatitis (AP), the variable clinical course and high mortality have led to the use of complex and time-consuming scoring systems. This study aimed to evaluate the diagnostic performance of the hemoglobin, albumin, lymphocyte, and platelet (HALP) score in predicting mortality and intensive care unit (ICU) admission in patients with AP, and to compare it with the Atlanta classification and the Bedside Index for Severity in AP (BISAP).

Methods: This single-center retrospective study included 455 patients diagnosed with AP. Demographic data, laboratory findings, and clinical course of the patients were recorded, and HALP, BISAP, and Atlanta classification scores were calculated.

Results: The Atlanta classification showed the highest predictive accuracy for both mortality and ICU admission (mortality: sensitivity 91%, specificity 96%; ICU admission: sensitivity 77%, specificity 99%). The HALP score demonstrated a moderate predictive ability for both mortality (sensitivity = 0.64; specificity = 0.79) and ICU admission (sensitivity = 0.74; specificity = 0.67). The sensitivity of the HALP score was significantly higher than that of the BISAP score for both outcomes (P < 0.001).

Conclusion: Although the HALP score has a lower overall predictive power compared to the Atlanta and BISAP scores, its higher sensitivity and easily calculable structure compared to the BISAP score suggest that it may serve as a supportive tool for early prognostic assessment of AP patients in emergency department settings.

目的:在急性胰腺炎(AP)中,多变的临床病程和高死亡率导致使用复杂且耗时的评分系统。本研究旨在评估血红蛋白、白蛋白、淋巴细胞和血小板(HALP)评分在预测AP患者死亡率和重症监护病房(ICU)住院方面的诊断性能,并将其与亚特兰大分类和AP床边严重程度指数(BISAP)进行比较。方法:这项单中心回顾性研究纳入了455例诊断为AP的患者。记录患者的人口学资料、实验室结果和临床病程,并计算HALP、BISAP和亚特兰大分类评分。结果:亚特兰大分类对死亡率和ICU入院的预测准确率最高(死亡率:敏感性91%,特异性96%;ICU入院:敏感性77%,特异性99%)。HALP评分对死亡率(敏感性= 0.64,特异性= 0.79)和ICU入院(敏感性= 0.74,特异性= 0.67)均具有中等预测能力。HALP评分的敏感性显著高于BISAP评分(P < 0.001)。结论:虽然与亚特兰大评分和BISAP评分相比,HALP评分的总体预测能力较低,但与BISAP评分相比,其更高的敏感性和易于计算的结构表明,它可以作为急诊科环境中AP患者早期预后评估的支持性工具。
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引用次数: 0
Noninvasive mechanical ventilation in acute cardiogenic pulmonary edema in the emergency department: A limited sum of factors determining response. 急诊科急性心源性肺水肿的无创机械通气:决定反应的有限因素
IF 2.3 Q3 EMERGENCY MEDICINE Pub Date : 2025-10-01 DOI: 10.4103/tjem.tjem_86_25
Hatice Aslan Sırakaya, Antonio M Esquinas
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引用次数: 0
Fiberoptic intubation in the lateral position in emergency airway management of a patient with large thyroid swelling. 侧位纤维气管插管在甲状腺肿大患者急诊气道管理中的应用。
IF 2.3 Q3 EMERGENCY MEDICINE Pub Date : 2025-10-01 DOI: 10.4103/tjem.tjem_206_24
Jyoti Sharma, Navneh Samagh, Jotkamal Kaur, Anju Grewal

The airway management of a patient with a large thyroid swelling is challenging, especially when complicated by airway deformity, compression of the trachea, retrosternal extension, and respiratory difficulty. Awake airway management using a fiberoptic bronchoscope is the safest technique in patients with anticipated difficult airways. We hereby discuss the emergency airway management of a patient with large thyroid swelling with tracheal compression and retrosternal extension using awake fiberoptic bronchoscopy in a lateral position.

甲状腺肿大患者的气道管理是具有挑战性的,特别是当合并气道畸形、气管压迫、胸骨后伸展和呼吸困难时。清醒气道管理使用纤维支气管镜是最安全的技术,患者预期困难的气道。我们在此讨论在清醒的纤维支气管镜下,在侧卧位的气管压迫和胸骨后伸展的甲状腺肿大患者的急诊气道管理。
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引用次数: 0
Musculoskeletal, airway, and vascular injuries in the patient with nonjudicial hanging: A narrative review for the emergency clinician. 非司法悬吊患者的肌肉骨骼、气道和血管损伤:急诊临床医生的叙述回顾。
IF 2.3 Q3 EMERGENCY MEDICINE Pub Date : 2025-10-01 DOI: 10.4103/tjem.tjem_247_24
Benton Spirek, Ashley Winborne, Margaret Plain, George Glass, William Brady

Non-judicial hanging events presenting to emergency healthcare providers exhibit a wide range of severity, from cardiac arrest to minor soft tissue neck contusions, making it essential for providers to anticipate potential injuries. This review investigated the frequency of musculoskeletal, neurologic, airway, and vascular injuries to neck structures following such events. A narrative review of the PubMed database was conducted, selecting hypothesis-testing articles based on criteria including non-judicial hanging, emergency department evaluation, and consideration of at least one of the four injury areas. Two reviewers selected the final articles, analyzed the data, and investigated three questions focusing on the frequency of these injury types. The reference lists of the selected articles were also reviewed for additional relevant studies. The analysis included 30 articles (3809 patients) for musculoskeletal and neurologic injuries, 20 articles (2047 patients) for airway injuries, and 13 articles (2717 patients) for vascular injuries. The overall injury rates in the neck region among the study population were musculoskeletal 3.0%, neurologic 0.5%, airway 5.2%, and vascular 2.5%. In conclusion, among patients surviving to emergency department arrival after a non-judicial hanging event, the rates of injury to neck structures are low, with airway injuries being the most frequent at approximately 5% of cases. Injuries were observed to be more common in adults compared to pediatric patients, and the medical significance of these injuries varied considerably. Further research is necessary to more comprehensively define the expected pathologies associated with this patient presentation and to guide the most appropriate evaluation strategies.

向紧急医疗保健提供者提出的非司法悬吊事件表现出各种严重程度,从心脏骤停到轻微的颈部软组织挫伤,因此提供者必须预测潜在的伤害。本综述调查了此类事件后颈部肌肉骨骼、神经系统、气道和血管损伤的频率。对PubMed数据库进行叙述性回顾,根据非司法绞刑、急诊科评估和至少考虑四个损伤区域之一的标准选择假设检验文章。两位审稿人选择了最终的文章,分析了数据,并调查了三个问题,重点是这些损伤类型的频率。还审查了所选文章的参考文献清单,以进行其他相关研究。分析包括肌肉骨骼和神经损伤的30篇(3809例),气道损伤的20篇(2047例),血管损伤的13篇(2717例)。研究人群中颈部区域的总体损伤率为肌肉骨骼3.0%,神经0.5%,气道5.2%,血管2.5%。总之,在非司法悬吊事件后存活至急诊室的患者中,颈部结构损伤的发生率较低,气道损伤最为常见,约占病例的5%。与儿科患者相比,损伤在成人中更为常见,并且这些损伤的医学意义差异很大。进一步的研究是必要的,以更全面地定义与该患者表现相关的预期病理,并指导最适当的评估策略。
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引用次数: 0
Potential of deep learning in advancing electrocardiography arrhythmia diagnosis in emergency medicine. 深度学习在急诊医学中推进心电图心律失常诊断的潜力。
IF 2.3 Q3 EMERGENCY MEDICINE Pub Date : 2025-10-01 DOI: 10.4103/tjem.tjem_74_25
Can Berk Inan, Nurbanu Aksoy, Havva Şahin Kavaklı, Hülya Çiçekçioğlu, Kerem Özbek, Alp Şener

Objectives: Accurate differentiation between ventricular tachycardia (VT) and supraventricular tachycardia (SVT) with aberrant conduction in wide complex tachyarrhythmias (WCT) remains a significant challenge in emergency medicine. This study aimed to evaluate the efficacy of deep learning (DL) models, specifically pretrained residual network (ResNet) architectures, in classifying these arrhythmias using electrocardiography (ECG) data.

Methods: A retrospective cross-sectional study was conducted, analysing 652 WCT ECGs and 248 normal sinus rhythm ECGs from an emergency medicine clinic. Three ResNet models ResNet-18, ResNet-34, and ResNet-50 were fine-tuned using transfer learning. Model performance was assessed via 10-fold cross-validation, evaluating accuracy, sensitivity, and precision.

Results: All ResNet models demonstrated high and consistent performance, achieving 95% accuracy, precision in distinguishing VT from SVT with aberrant conduction. The models exhibited robust generalization across validation folds.

Conclusion: DL models, particularly ResNet architectures, show promise in enhancing ECG-based diagnosis of WCT. Their integration into emergency care could improve diagnostic accuracy, especially in settings with limited access to specialized cardiac expertise.

目的:准确鉴别宽范围复杂心动过速(WCT)伴传导异常的室性心动过速(VT)和室上性心动过速(SVT)仍然是急诊医学的一个重大挑战。本研究旨在评估深度学习(DL)模型,特别是预训练残差网络(ResNet)架构,在使用心电图(ECG)数据对这些心律失常进行分类方面的功效。方法:回顾性横断面分析某急诊科652例WCT心电图和248例正常窦性心律心电图。使用迁移学习对ResNet-18、ResNet-34和ResNet-50三个ResNet模型进行了微调。通过10倍交叉验证评估模型性能,评估准确性、灵敏度和精密度。结果:所有ResNet模型在区分VT和SVT异常传导方面表现出较高的一致性,准确率达到95%。模型在验证折叠中表现出稳健的泛化。结论:DL模型,特别是ResNet架构,在增强基于ecg的WCT诊断方面显示出希望。将它们整合到急诊护理中可以提高诊断的准确性,特别是在获得心脏病专业知识有限的情况下。
{"title":"Potential of deep learning in advancing electrocardiography arrhythmia diagnosis in emergency medicine.","authors":"Can Berk Inan, Nurbanu Aksoy, Havva Şahin Kavaklı, Hülya Çiçekçioğlu, Kerem Özbek, Alp Şener","doi":"10.4103/tjem.tjem_74_25","DOIUrl":"10.4103/tjem.tjem_74_25","url":null,"abstract":"<p><strong>Objectives: </strong>Accurate differentiation between ventricular tachycardia (VT) and supraventricular tachycardia (SVT) with aberrant conduction in wide complex tachyarrhythmias (WCT) remains a significant challenge in emergency medicine. This study aimed to evaluate the efficacy of deep learning (DL) models, specifically pretrained residual network (ResNet) architectures, in classifying these arrhythmias using electrocardiography (ECG) data.</p><p><strong>Methods: </strong>A retrospective cross-sectional study was conducted, analysing 652 WCT ECGs and 248 normal sinus rhythm ECGs from an emergency medicine clinic. Three ResNet models ResNet-18, ResNet-34, and ResNet-50 were fine-tuned using transfer learning. Model performance was assessed via 10-fold cross-validation, evaluating accuracy, sensitivity, and precision.</p><p><strong>Results: </strong>All ResNet models demonstrated high and consistent performance, achieving 95% accuracy, precision in distinguishing VT from SVT with aberrant conduction. The models exhibited robust generalization across validation folds.</p><p><strong>Conclusion: </strong>DL models, particularly ResNet architectures, show promise in enhancing ECG-based diagnosis of WCT. Their integration into emergency care could improve diagnostic accuracy, especially in settings with limited access to specialized cardiac expertise.</p>","PeriodicalId":46536,"journal":{"name":"Turkish Journal of Emergency Medicine","volume":"25 4","pages":"288-296"},"PeriodicalIF":2.3,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12527057/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145309493","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A cross-sectional analysis of out-of-hospital cardiac arrests in a metropolitan area to determine optimal automated external defibrillator placement. 对大城市院外心脏骤停的横断面分析,以确定最佳的自动体外除颤器放置。
IF 2.3 Q3 EMERGENCY MEDICINE Pub Date : 2025-10-01 DOI: 10.4103/tjem.tjem_83_25
Mukadder Tortumlu, Umut Payza, Hüsniye Ebru Çolak

Objectives: The aim of this study is to determine the most appropriate locations for the effective use of automated external defibrillators (AEDs) by examining the locations and frequency of out-of-hospital cardiac arrests (OHCAs) in a metropolitan city in Izmir.

Methods: This research is a retrospective cross-sectional study. The data of the study were obtained from the Emergency Health Automation System. Data belonging to OHCA cases intervened by emergency aid ambulances were analyzed. The data were recorded and mapped by matching the regions where deaths occurred with the address records. Geographic Information Systems technologies were used in mapping the data. Kernel density analysis was used to produce density maps of point cases. Data analyses were performed with IBM SPSS Statistics 25.0 Statistical Program, and binary logistic regression analysis was used to determine the factors affecting the frequency of arrest. The significance value was accepted as P < 0.10 for logistic regression analysis and P < 0.05 for other tests.

Results: In the study, a total of 1790 OHCA cases were identified in public areas in the center of the metropolitan city between 2015 and 2020. Of the 1790 OHCAs, 34.5% were female and 65.5% were male. 49.4% of the deaths were seen in public areas and on streets and avenues where human movement is high. Approximately 34.5% of the deaths were seen in nursing homes. Only one cardiac arrest case was seen at the international airport in the city. The average arrival time of ambulances was found to be 7.3 min in the city center.

Conclusion: This study is the first AED location determination study conducted in Turkey based on OHCA cases. Each country and region should reveal its sociocultural differences and make its plans by taking population mobility into account. Instead of making decisions based solely on the number of deaths, population mobility should be the determining factor. Countries should evaluate their AED installation policies in this context.

目的:本研究的目的是通过检查伊兹密尔一个大城市院外心脏骤停(ohca)的位置和频率,确定有效使用自动体外除颤器(aed)的最合适地点。方法:采用回顾性横断面研究。本研究的数据来自紧急卫生自动化系统。对紧急救护救护车介入的OHCA病例数据进行分析。通过将死亡发生的地区与地址记录相匹配,记录并绘制了数据。地理信息系统技术用于绘制数据。核密度分析用于生成点情况的密度图。采用IBM SPSS Statistics 25.0统计程序进行数据分析,采用二元logistic回归分析确定影响骤停频率的因素。logistic回归分析显著性值为P < 0.10,其他检验P < 0.05。结果:2015 - 2020年,在北京市中心公共区域共发现1790例OHCA病例。1790例ohca中,女性占34.5%,男性占65.5%。49.4%的死亡发生在公共场所以及人员流动频繁的街道和大道上。大约34.5%的死亡发生在养老院。在该城市的国际机场只发现了一例心脏骤停病例。在市中心,救护车的平均到达时间为7.3分钟。结论:本研究是土耳其首次基于OHCA病例进行的AED位置确定研究。每个国家和地区都应该揭示其社会文化差异,并在制定计划时考虑到人口的流动性。人口流动应该成为决定因素,而不是仅仅根据死亡人数作出决定。各国应在此背景下评估其AED安装政策。
{"title":"A cross-sectional analysis of out-of-hospital cardiac arrests in a metropolitan area to determine optimal automated external defibrillator placement.","authors":"Mukadder Tortumlu, Umut Payza, Hüsniye Ebru Çolak","doi":"10.4103/tjem.tjem_83_25","DOIUrl":"10.4103/tjem.tjem_83_25","url":null,"abstract":"<p><strong>Objectives: </strong>The aim of this study is to determine the most appropriate locations for the effective use of automated external defibrillators (AEDs) by examining the locations and frequency of out-of-hospital cardiac arrests (OHCAs) in a metropolitan city in Izmir.</p><p><strong>Methods: </strong>This research is a retrospective cross-sectional study. The data of the study were obtained from the Emergency Health Automation System. Data belonging to OHCA cases intervened by emergency aid ambulances were analyzed. The data were recorded and mapped by matching the regions where deaths occurred with the address records. Geographic Information Systems technologies were used in mapping the data. Kernel density analysis was used to produce density maps of point cases. Data analyses were performed with IBM SPSS Statistics 25.0 Statistical Program, and binary logistic regression analysis was used to determine the factors affecting the frequency of arrest. The significance value was accepted as <i>P</i> < 0.10 for logistic regression analysis and <i>P</i> < 0.05 for other tests.</p><p><strong>Results: </strong>In the study, a total of 1790 OHCA cases were identified in public areas in the center of the metropolitan city between 2015 and 2020. Of the 1790 OHCAs, 34.5% were female and 65.5% were male. 49.4% of the deaths were seen in public areas and on streets and avenues where human movement is high. Approximately 34.5% of the deaths were seen in nursing homes. Only one cardiac arrest case was seen at the international airport in the city. The average arrival time of ambulances was found to be 7.3 min in the city center.</p><p><strong>Conclusion: </strong>This study is the first AED location determination study conducted in Turkey based on OHCA cases. Each country and region should reveal its sociocultural differences and make its plans by taking population mobility into account. Instead of making decisions based solely on the number of deaths, population mobility should be the determining factor. Countries should evaluate their AED installation policies in this context.</p>","PeriodicalId":46536,"journal":{"name":"Turkish Journal of Emergency Medicine","volume":"25 4","pages":"265-272"},"PeriodicalIF":2.3,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12527051/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145309515","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Emergency department boarding time and in-hospital mortality: A prospective observational study. 急诊住院时间与住院死亡率:一项前瞻性观察研究。
IF 2.3 Q3 EMERGENCY MEDICINE Pub Date : 2025-10-01 DOI: 10.4103/tjem.tjem_97_25
Vaishnavi Thevrekandy, Aravind Sreekumar, Praveen Aggarwal, Jamshed Nayer, K R Sanith

Objectives: We aimed to study the association between prolonged boarding time in the emergency department (ED) and in-hospital mortality among patients triaged red at presentation.

Methods: It was a single-center prospective observational study conducted among 300 patients who presented to the ED of a tertiary care teaching institute in North India. The boarding time was calculated as the time interval between the time at which the patient was advised admission and the time at which the patient was admitted to the indoor bed. Risk stratification of patients was done based on National Early Warning Score 2 (NEWS2) at presentation. The patient was then followed up for the duration of their in-hospital course, till discharge or death.

Results: The mean boarding time was higher in patients who died, as compared to those who were alive, but the difference was not found to be statistically significant (14.13 h vs. 11.89 h, P = 0.053). Boarding time had a weak discriminatory power on receiver operating characteristic (ROC) analysis (area under the ROC: 0.59: 95% confidence interval [CI]: 0.51-0.67, P = 0.046). A boarding time of more than 9.98 h was found to be 70.8% specific and 43.6% sensitive for predicting in-hospital mortality. On logistic regression, an increase in boarding time was found to independently increase the odds of mortality, albeit weakly (adjusted odds ratio: 1.06; 95% CI: 1.00-1.12, P = 0.03). A NEWS2 score > 4 at presentation and a requirement of high-dependency unit (HDU)/ıntensive care unit (ICU) admission were found to be significant predictors of in-hospital mortality.

Conclusion: Prolonged ED boarding times may be weakly associated with in-hospital mortality. Patients with an increased NEWS2 score at presentation and those requiring HDU/ICU admissions were at higher risk of in-hospital mortality.

目的:我们旨在研究急诊(ED)住院时间延长与就诊时被分类为红色的患者住院死亡率之间的关系。方法:这是一项单中心前瞻性观察研究,在印度北部一家三级护理教学机构的急诊科进行了300例患者的研究。登机时间计算为患者被告知入院时间与患者入住室内床时间之间的时间间隔。患者的风险分层是基于国家早期预警评分2 (NEWS2)。然后对患者进行住院期间的随访,直到出院或死亡。结果:死亡患者的平均登机时间高于存活患者,但差异无统计学意义(14.13 h比11.89 h, P = 0.053)。登机时间对受试者工作特征(ROC)分析有微弱的区别作用(ROC下面积:0.59:95%置信区间[CI]: 0.51-0.67, P = 0.046)。登机时间大于9.98 h对预测住院死亡率的特异性为70.8%,敏感性为43.6%。在逻辑回归中,登机时间的增加独立地增加了死亡率的几率,尽管微弱(调整后的优势比:1.06;95% CI: 1.00-1.12, P = 0.03)。入院时NEWS2评分bbbb4和入住高依赖病房(HDU)/ıntensive护理病房(ICU)的要求被发现是住院死亡率的重要预测因子。结论:延长急诊科登机时间可能与住院死亡率呈弱相关。就诊时NEWS2评分升高的患者和需要HDU/ICU入院的患者在院内死亡的风险更高。
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引用次数: 0
Can a stingray tear a tendon? A case report of delayed Achilles rupture following envenomation. 黄貂鱼会撕裂肌腱吗?中毒后迟发性跟腱断裂1例报告。
IF 2.3 Q3 EMERGENCY MEDICINE Pub Date : 2025-10-01 DOI: 10.4103/tjem.tjem_73_25
Jacob Stibelman, Moamen Elhaddad, Alexander Carrillo-Kashani, B David Massaband

Stingray injuries, though common in coastal regions, rarely result in severe musculoskeletal complications such as tendon rupture. This case report presents the first documented instance of a 61-year-old male who sustained a stingray injury to the Achilles tendon, initially masked by a concurrent infection, leading to a delayed diagnosis and surgical repair. The patient presented to urgent care 5 days postinjury with pain, erythema, and chills, and was treated for a soft-tissue infection. Persistent symptoms prompted a referral to the emergency department (ED), where magnetic resonance imaging revealed a complete Achilles tendon rupture with associated infection. Surgical repair was delayed until the infection resolved, and a V-Y gastrocnemius advancement was performed 9 weeks postinjury. The patient achieved full recovery at 1-year follow-up. This case underscores the importance of a high index of suspicion for musculoskeletal injuries in marine trauma, the role of advanced imaging in the ED, and the need for interdisciplinary management to prevent long-term complications. Emergency physicians must consider tendon injuries in patients with persistent symptoms following stingray envenomation, ensuring timely diagnosis and treatment to optimize outcomes.

黄貂鱼损伤虽然在沿海地区很常见,但很少导致严重的肌肉骨骼并发症,如肌腱断裂。本病例报告提出了第一例61岁男性跟腱黄貂鱼损伤的病例,最初被并发感染掩盖,导致延迟诊断和手术修复。患者在受伤后5天出现疼痛、红斑和寒战,并因软组织感染而接受了紧急护理。持续的症状促使转诊到急诊科(ED),磁共振成像显示完全性跟腱断裂并伴有相关感染。手术修复被推迟到感染解决,并在损伤后9周进行了V-Y腓肠肌推进。随访1年,患者完全康复。该病例强调了海洋创伤中高度怀疑肌肉骨骼损伤的重要性,先进影像学在急诊科中的作用,以及跨学科管理以预防长期并发症的必要性。急诊医生必须考虑黄貂鱼中毒后持续症状的肌腱损伤患者,确保及时诊断和治疗,以优化结果。
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引用次数: 0
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Turkish Journal of Emergency Medicine
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