1 10 43 https://repository.horizon.ac.id/files/original/ac1ba20ddde70a851b054fd9cc3ecc7b.pdf 4a47ea94420d67189a4b8b684c15f72b Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource volume 26 2026 Contributor An entity responsible for making contributions to the resource PERI IRAWAN Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Role of schools in disaster risk management: a systematic review Subject The topic of the resource Disasters, Prevention, Preparedness, Response, Recovery, Schools Description An account of the resource Background Community-based disaster risk management has emerged as a highly effective approach, emphasizing the importance of local institutions. As integral parts of communities, schools possess valuable resources that can play a crucial role in supporting government agencies in managing disasters efficiently. Therefore, this study identified the dimensions and components of schools participation in disaster risk management. Methods A comprehensive search was conducted across key electronic databases, including PubMed, Web of Science, and Scopus, focusing on English-language articles published up to June 8, 2024. Additionally, searches were performed on organizational websites such as WHO, CDC, FEMA, IFRC, UN, INEE, and Save the Children. Study selection followed the PRISMA 2020 guidelines, and thematic analysis was employed to examine the findings. Results Finally, of 7824 selected records, 17 papers were included in the final analysis. Six main themes, 26 categories, and 61 subcategories were revealed. The main themes included planning and preparedness, education and awareness, Communication and Collaboration, Equipment and Infrastructure, Evaluation and Improvement, Challenges and Solutions. Conclusions Schools are central to disaster risk management and must be integrated into national frameworks through formal legislation. Strengthening preparedness requires investment in infrastructure, regular assessments, and inclusive education programs. Stakeholder collaboration especially with families, NGOs, and local authorities enhances coordination and community awareness. Sustainable funding and flexible, localized strategies are essential, particularly in underserved areas. Future research should focus on cost-effective models, digital tools, and scalable practices across diverse contexts. Creator An entity primarily responsible for making the resource Ameneh Marzban1 , Mohsen Dowlati2*, Shandiz Moslehi2 and Milad Ahmadi Marzaleh3 Source A related resource from which the described resource is derived https://doi.org/10.1186/s12873-025-01453-z Date A point or period of time associated with an event in the lifecycle of the resource 2026 Contributor An entity responsible for making contributions to the resource PERI IRAWAN Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource ENGLISH Type The nature or genre of the resource TEXT Disasters, Prevention, Preparedness, Response, Recovery, Schools https://repository.horizon.ac.id/files/original/7e45b3508e20ee28dc07f53aaa227e0e.pdf 53414bb1dd0b914c25e069e9da9ed04d Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource volume 26 2026 Contributor An entity responsible for making contributions to the resource PERI IRAWAN Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Epidemiology of oncologic emergency in Ethiopia: a systematic review and meta- analysis Subject The topic of the resource Oncologic, Emergency, Febrile, Neutropenia, Policies and strategies Description An account of the resource Background Oncologic emergency is a serious clinical experience that presents significant challenges to patients and caregivers. A comprehensive understanding of the overall magnitude of oncologic emergencies is critical. However, existing literatures are fragmented and varying in the report of results. Therefore, this study aims to determine the overall magnitude of oncologic emergency in Ethiopia Methods Comprehensive literature search was conducted from various sources. A random-effects meta-analysis was conducted using DerSimonian-Laird to estimate the pooled effect size. Heterogeneity was checked using I2 statistic. Sub group and sensitivity analysis was conducted to mitigate heterogeneity. Funnel plot and egger’s regression test was used to check publication bias and small study effect. Results This study included 23 studies involving a total of 6755 cancer patients. The pooled prevalence of oncologic emergency across in Ethiopia was 30.87% (95%CI 23.72–38.02). Substantial heterogeneity (I2=98.5%) across the studies were identified. The 95% prediction interval ranged from 5.62% to 67.40%, reflecting the expected prevalence in a new study. Comorbidity, advanced age, being on cancer treatment, and metastasis were significant predictors of oncologic emergency. Conclusion Advancing innovations in early detection and prompt intervention is critical to reduce the burden of oncologic emergency on patients and the health care system. A notable challenge encountered was the variability in definitions and measurement of oncologic emergencies across included studies. Keywords Oncologic, Emergency, Febrile, Neutropenia, Policies and strategies Creator An entity primarily responsible for making the resource Astewle Andargie Baye1*, Gebre Kassaw Yirga1 , Yirgalem Abere1 , Mengistu Ewunetu1 , Yeshiambaw Eshetie1 , Birara Ayichew Tilaye2 and Gebrehiwot Berie Mekonnen2 Source A related resource from which the described resource is derived https://doi.org/10.1186/s12873-025-01430-6 Date A point or period of time associated with an event in the lifecycle of the resource 2026 Contributor An entity responsible for making contributions to the resource Peri Irawan Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource ENGLISH Type The nature or genre of the resource TEXT Oncologic, Emergency, Febrile, Neutropenia, Policies and strategies https://repository.horizon.ac.id/files/original/5cc6c3a6a0687363cb3cc01de4bb114a.pdf 86244b0a0d39a1cfe9fb51c883d12855 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource volume 26 2026 Contributor An entity responsible for making contributions to the resource PERI IRAWAN Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Analysis of violent attacks on emergency medical technicians in Ghana: a structural equation modelling approach Subject The topic of the resource Emergency medical technicians (EMTs), Violent attacks, Perpetrators, Prehospital, Emergency care Description An account of the resource Background Emergency Medical Technicians (EMTs) play a crucial role in healthcare, yet they frequently encounter violence in the line of duty. The incidence of violence against EMTs in Ghana is still not well understood, and it is a problem that is frequently ignored. Objective This study investigates the impact of different perpetrators on violent attacks against EMTs in Ghana, examining how emergencies mediate these incidents. The study focuses on EMTs from the Ghana National Ambulance Service (NAS) across three key regions: Greater Accra, Ashanti, and the Northern Region, with a total sample size of 336 EMTs. The main population of the study consisted of EMTs, and the Partial Least Squares structural equation technique was used for data analysis. Methods A multistage sampling technique was employed to ensure systematic coverage across regions, with sample sizes proportionally calculated based on the distribution of EMTs. Data was collected using a Likert scale questionnaire to capture EMTs’ experiences and perspectives across various dimensions. Findings The study reveals that high-stress emergencies significantly influence the types of violence EMTs experience. These situations increase the likelihood of both physical assaults and verbal abuse. The identity of the perpetrators, including relatives, doctors, and nurses, is also a significant factor in the occurrence of violence. Moreover, the nature of emergencies mediates the relationship between perpetrators and the types of violent incidents, emphasising the importance of situational factors in understanding and preventing violence against EMTs. Conclusion In conclusion, High-stress emergencies contribute to violence against EMTs, with perpetrators playing a crucial role. The study suggests enhancing safety training, strengthening security, raising public awareness, implementing legal reforms, and providing mental health support. Clinical trial number Not applicable Creator An entity primarily responsible for making the resource Azudaa R. Atandigre1 , Yenube Clement Kunkuaboor2*, Michael Adesi3 , Ahmed N. Zakariah1 , Miilon Sommik Duut1 and Jones Opoku-Ware4 Source A related resource from which the described resource is derived https://doi.org/10.1186/s12873-025-01435-1 Date A point or period of time associated with an event in the lifecycle of the resource 2026 Contributor An entity responsible for making contributions to the resource PERI IRAWAN Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource ENGLISH Type The nature or genre of the resource TEXT Emergency medical technicians (EMTs), Violent attacks, Perpetrators, Prehospital, Emergency care https://repository.horizon.ac.id/files/original/b208990b4fe5674bc33e48d1422b367e.pdf e6b6d800398a4756c1e2cf862449b562 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource volume 26 2026 Contributor An entity responsible for making contributions to the resource PERI IRAWAN Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Post-earthquake emergency nurse allocation: a human resource management approach based on simulation modeling Subject The topic of the resource Disaster nursing, Earthquake preparedness, Mathematical modeling, Staffing planning Description An account of the resource Objective This study aims to develop a mathematical model to estimate the number of emergency nurses required to ensure the continuity of healthcare services in the aftermath of an earthquake. Background The February 6, 2023, Kahramanmaraş earthquake, which severely impacted southeastern Turkey, caused widespread devastation in Hatay province. The destruction of infrastructure, along with the large number of casualties and injuries, created an overwhelming demand for medical services, putting an extraordinary strain on the region’s healthcare system. Hatay, with limited medical resources and a single operating hospital, faced significant challenges in maintaining adequate care for the injured. This situation underscores the critical need for effective planning and resource allocation, particularly in estimating the number of emergency nurses required to manage the immediate aftermath of such disasters. Methods The study focused on Hatay Mustafa Kemal University Hospital, the sole healthcare provider in Hatay, following the 2023 Kahramanmaraş earthquakes. Using real field data (e.g., building collapse rates, injury estimations, and population distribution), a simulation was conducted. The M/M/s queuing theory model was applied to calculate the number of nurses required, factoring in patient arrival rates, nurse care capacity, and working shifts. Results Based on an estimated 11,645 injured patients over 144 h, the model concluded that 27 nurses per shift (totaling 81 nurses for 24-hour care) would be necessary to sustain full-capacity service. The projections closely aligned with actual hospital data. Conclusion The model provides a scalable, scenario-sensitive planning tool that can support emergency preparedness efforts. Its basis in real disaster data enhances both its reliability and applicability, positioning it as a practical decision-making aid for policymakers and hospital administrators aiming to strengthen disaster organizational resilience through evidence-based nurse staffing strategies. Creator An entity primarily responsible for making the resource Bircan Kara1* and Ali Utku Şahin2 Source A related resource from which the described resource is derived https://doi.org/10.1186/s12873-025-01421-7 Date A point or period of time associated with an event in the lifecycle of the resource 2026 Contributor An entity responsible for making contributions to the resource PERI IRAWAN Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource ENGLISH Type The nature or genre of the resource TEXT Disaster nursing, Earthquake preparedness, Mathematical modeling, Staffing planning https://repository.horizon.ac.id/files/original/5b7f734da65b41749f6ed589cc05d900.pdf 0178f44ef646a9911d30af6725a4bd1b Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource volume 26 2026 Contributor An entity responsible for making contributions to the resource PERI IRAWAN Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Prehospital diagnostic performance of emergency physicians in identifying blunt traumatic pneumothorax requiring early decompression Subject The topic of the resource Emergency medicine, Prehospital care, Tension pneumothorax, Thoracic decompression, Thoracostomy, Ultrasound Description An account of the resource Background Traumatic pneumothorax is a potentially life-threatening condition requiring timely diagnosis and management, particularly in the prehospital setting where diagnostic tools are limited. This study aimed to evaluate the diagnostic performance of clinical signs used by emergency physicians in the field to identify traumatic pneumothorax requiring early thoracic decompression. Methods We conducted a retrospective observational study in a French level I trauma center from January 2015 to August 2022. All patients with CT-confirmed pneumothorax managed by prehospital emergency physicians were included. The primary endpoint was the diagnostic performance of prehospital clinical assessment to identify pneumothorax requiring early decompression (prehospital or within four hours of admission). Statistical analysis was focused on predictive performance of three clinical signs (asymmetric lung auscultation, thoracic expansion asymmetry, and subcutaneous emphysema) in identifying cases requiring early decompression, using univariable analyses and the construction of a composite predictive score by logistic regression. Results Among 280 included patients, 115 (41%) required early thoracic decompression. Clinical suspicion of pneumothorax was present in 63% (95% CI: 54‒71) of these cases. Asymmetric lung auscultation showed the highest sensitivity (74%; 95% CI: 62‒86), while subcutaneous emphysema demonstrated the highest specificity (79%; 95% CI: 68‒89). The overall clinical suspicion rate across the cohort was 46% (95% CI: 41‒52). A composite predictive score using the three clinical signs demonstrated better diagnostic performance (AUC 0.63 (95% CI 0.57‒0.69); score=1 OR 2.0 [95% CI 1.1‒3.6], score=2 OR 3.0 [95% CI 1.6‒5.7]; score=3 OR 11.0 [95% CI 1.3‒96.8]). Conclusion Prehospital clinical assessment alone had limited diagnostic performance for detecting blunt traumatic pneumothorax requiring early decompression. A simple clinical composite score offers higher specificity but remains insufficiently sensitive to be used as a standalone diagnostic tool; it may support field decision-making as a risk- Creator An entity primarily responsible for making the resource Céline Occelli1,2*, Marie Lenoir1 , Arthur Naudet Lasserre3,4, Lauranne Teule5 , Hugues Weber3,4, Jonathan Charbit3,4 and Xavier Bobbia1 Source A related resource from which the described resource is derived https://doi.org/10.1186/s12873-025-01462-y Date A point or period of time associated with an event in the lifecycle of the resource 2026 Contributor An entity responsible for making contributions to the resource PERI IRAWAN Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource ENGLISH Type The nature or genre of the resource TEXT Emergency medicine, Prehospital care, Tension pneumothorax, Thoracic decompression, Thoracostomy, Ultrasound https://repository.horizon.ac.id/files/original/5e3a6528a94ecfdb8eb40856e1852c5c.pdf b85c4435e293753cacbeed7e7cb6d434 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource volume 26 2026 Contributor An entity responsible for making contributions to the resource PERI IRAWAN Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Early prediction of in-hospital deterioration after emergency department admission using machine learning models Subject The topic of the resource Machine learning, Early warning system, In-hospital deterioration Description An account of the resource Background Early prediction of clinical deterioration in patients admitted to general wards from the emergency department (ED) is crucial for timely interventions and improved outcomes. Traditional scoring systems often fail to account for dynamic physiological changes occurring during ED stays. Machine learning (ML) offers a promising alternative by integrating comprehensive patient data for enhanced predictive capabilities. Objective This study aimed to develop and validate an ML-based early warning system to predict adverse events, including cardiac arrest, mechanical ventilation, or intensive care unit (ICU) transfer, within 48 h of hospitalization. Methods This retrospective multicenter study included data from 169,807 patients across two medical centers to train ML models for predicting adverse events occurring within 48 h of hospitalization. The prediction time origin (T0) was the moment of hospital admission. All ED data obtained before T0 were included as model input, and adverse events were defined as those occurring within 48 h after T0. Three machine learning models were trained and evaluated: logistic regression (LR), random forest (RF), and extreme gradient boosting (XGB). The ML models were evaluated in external test cohorts with 54,515 patients from a regional teaching hospital. Model performance was assessed against traditional early warning scores, including the National Early Warning Score (NEWS) and the Modified Early Warning Score (MEWS), and Modified Sequential Organ Failure Assessment Score (mSOFA) using the area under the curve (AUC). Results In the internal test set, XGB achieved the highest AUC of 0.87 (95% CI: 0.85–0.89), followed by RF 0.85 (95% CI: 0.83–0.87) and LR 0.83 (95% CI: 0.81–0.85), outperforming NEWS (AUC 0.71), MEWS (0.69), and mSOFA (0.69). In the external test set, XGB maintained the best discrimination (AUC 0.82, 95% CI: 0.80–0.83), followed by RF 0.78 (95% CI: 0.77–0.80) and LR 0.77 (95% CI: 0.76–0.79), again exceeding NEWS (0.67), MEWS (0.65), and mSOFA (0.69). SHAP analyses identified respiratory rate and oxygen support as the most influential predictors. Creator An entity primarily responsible for making the resource Chi-Yung Cheng1,2,3†, Ting-Hsuan Hsu1,2†, Yu-Lun Hung1,2, Ting-Yu Hsu1,2, Fu-Jen Cheng1,2, Hsiu-Yung Pan1,2, Chun-Hung Richard Lin3 and I-Min Chiu1,2,3* Source A related resource from which the described resource is derived https://doi.org/10.1186/s12873-025-01464-w Date A point or period of time associated with an event in the lifecycle of the resource 2026 Contributor An entity responsible for making contributions to the resource PERI IRAWAN Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource ENGLISH Type The nature or genre of the resource TEXT Machine learning, Early warning system, In-hospital deterioration https://repository.horizon.ac.id/files/original/723e8b3932e5d834ec95e46b254a4f45.pdf abff5ded4285abcf2e46cd67435d208f Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource volume 26 2026 Contributor An entity responsible for making contributions to the resource PERI IRAWAN Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Negative predictive value of S100B in all types of traumatic brain injury in different aging groups Subject The topic of the resource Traumatic brain injury, S100B level, Negative predictive value Description An account of the resource Purpose Traumatic brain injury (TBI) represents a major contributor to global morbidity and mortality, and the optimization of diagnostic approaches continues to be a matter of considerable scientific debate. The S100 calcium- binding protein B (S100B) value is characterized by a high diagnostic negative predictive value (NPV) and is obtained without exporure to radiation. The aim of the study was to investigate the NPV of the S100B level in the patient cohort aged 75 and older with TBI and compare the results with a cohort of individuals below 75. The hypothesis was, that the S100B value would have a sufficiently high NPV in both patient groups, thereby serving as a diagnostic marker, but with a higher NPV in the below 75 age group. Materials and methods A retrospective study was conducted on 815 TBI patients from a Level I trauma center from April 2016 to May 2024. Both, S100B levels and CT scans were obtained within 30 min to 6 h post-trauma. Patients were divided into two groups: below 75 years and 75 years and older. S100B levels≥0.105 μ/L were considered positive.NPV and sensitivity were calculated for both groups. Results Among the 815 patients, 76 had normal S100B and CT results, 13 had abnormal CT but normal S100B, 65 had elevated S100B and abnormal CT, and 661 had elevated S100B with normal CT. The overall NPV was 85.4% (95% CI 0.753, 0.909; p<0.01), with a sensitivity of 83.3% (95% CI 0.776, 0.919; p<0.01). In the under-75 group (574 patients), the NPV was 86.8% (95% CI 0.816, 1; p<0.01), and sensitivity was 76.2% (95% CI 0.5, 1; p<0.01). In the over-75 group (241 patients), the NPV was 77% (95% CI 0.622, 0.878; p<0.01), with sensitivity of 91.7% (95% CI 0.786, 0.938; p<0.01). The intervention rate was 0.3% in the under-75 group and 1.6% in the over-75 group. Conclusion We found a clear and significant correlation between a negative S100B level and normal CT scan. We believe that the determination of S100B levels significantly reduces the radiation exposure for TBI patients, especially in younger patients. However, its reliability varies by age, warranting further investigation in diverse populations and TBI severities. Creator An entity primarily responsible for making the resource Clemens Clar1 , Paul Puchwein1*, Diether Kramer2 , Sai Veeranki2 , Patrick Sadoghi1 , Andreas Leithner1 and Patrick Reinbacher1 Source A related resource from which the described resource is derived https://doi.org/10.1186/s12873-025-01411-9 Date A point or period of time associated with an event in the lifecycle of the resource 2026 Contributor An entity responsible for making contributions to the resource PERI IRAWAN Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource ENGLISH Type The nature or genre of the resource TEXT Traumatic brain injury, S100B level, Negative predictive value https://repository.horizon.ac.id/files/original/8ad0ed4a7b8effdc8ce0bd572bd2ec1c.pdf a258dfaadecb0854d0ca060e2a81465d Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource volume 26 2026 Contributor An entity responsible for making contributions to the resource PERI IRAWAN Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Improving care for intimate partner violence in the emergency department: recommendations from a Canadian retrospective chart review Subject The topic of the resource Intimate partner violence, Trauma informed care, Emergency medicine Description An account of the resource Background Intimate partner violence (IPV) is prevalent among patients visiting the emergency department (ED). Studies show that patients experiencing IPV continue to have negative care experiences in the ED, leading to an increased risk of adverse physical, mental, legal, and economic outcomes. However, few studies explore ED care metrics and gaps in knowledge on how providers can improve. Methods We sought to fill these gaps by collecting quantitative and qualitative electronic data on ED care parameters for patients experiencing IPV. A retrospective chart review was conducted for patients seen in our tertiary care center’s ED and by our Sexual Assault and Domestic Violence Program between December 17, 2018 and June 16, 2021. Quantitative data, including sociodemographics, were summarized using medians/interquartile ranges and frequencies/proportions as appropriate using SPSS. This paper describes IPV care metrics across three domains: (1) ED mandatory reporting, (2) medical management of strangulation, and (3) discharge diagnosis containing IPV. Additionally, when documenting IPV encounters in charts, the use of trauma- and violence-informed care (TVIC) principles was evaluated as a secondary exploratory outcome. Results A total of 124 clinical encounters were analyzed. Among these, 54 involved children in the home, and documentation of mandatory reporting was absent in 43% (23/54) of such cases. Twenty-five patients experienced strangulation; however, 88% (22/25) of these cases were inadequately investigated. Furthermore, IPV was omitted as a discharge diagnosis in 38% (47/124) of encounters. Overall, 64% (79/124) of charts demonstrated a lack of trauma- and violence-informed care (TVIC) principles in the documentation of IPV-related encounters. Conclusions These findings highlight that gaps exist for ED patients experiencing IPV and illuminate areas for improvement of clinical care. We provide evidence-based recommendations for ED providers to improve their management of IPV, including review of mandatory reporting legislation, overview of clinical criteria requiring contrast imaging for strangulation, and discussion around the significance of including IPV in ED discharge diagnosis. Clinical trial number Not applicable. Creator An entity primarily responsible for making the resource Emma Duchesne1,2*, Alison N. Ross1 , Jane Lewis3 , Susan A. Bartels1,4, Melanie Walker1,4 and Nicole Rocca1 Source A related resource from which the described resource is derived https://doi.org/10.1186/s12873-025-01423-5 Date A point or period of time associated with an event in the lifecycle of the resource 2026 Contributor An entity responsible for making contributions to the resource Peri Irawan Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource ENGLISH Type The nature or genre of the resource TEXT Intimate partner violence, Trauma informed care, Emergency medicine https://repository.horizon.ac.id/files/original/8f03cd50875d581e9cd245353460946b.pdf 2b42899858cd55c3a1cc13389f22da05 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource volume 26 2026 Contributor An entity responsible for making contributions to the resource PERI IRAWAN Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource External validation of the International Early Warning Score in non-traumatic emergency department patients: a prospective cohort study Subject The topic of the resource Early warning score, International Early Warning Score, National Early Warning Score, Mortality prediction, Intensive care admission, Emergency department Description An account of the resource Background Emergency department (ED) overcrowding has become a global public health concern, underscoring the importance of rapid and reliable risk stratification tools. Early warning scores are widely used to identify patients at risk of deterioration and mortality. The recently developed International Early Warning Score (IEWS), which incorporates age and sex adjustments into the National Early Warning Score (NEWS) model, has shown promising results and has undergone initial external validation in a Danish cohort; however, no prospective external validation has yet been conducted, and broader international validation remains limited. This study aimed to evaluate the performance of IEWS compared with NEWS in predicting in-hospital mortality, 30-day mortality, and ICU admission among adult ED patients. Methods This prospective observational cohort study was conducted between July and August 2024 in a tertiary university hospital ED with an annual census of ~70,000 visits. Adult patients presenting to the ED were included, while trauma cases, patients without vital signs on arrival, interhospital transfers, and cases with incomplete data were excluded. IEWS and NEWS were calculated at presentation. The primary outcome was all-cause in-hospital mortality; secondary outcomes included 30-day mortality and ICU admission. Results A total of 8,666 patients were analyzed. The median age was 40 years (IQR: 26–58), and 51.5% were female. In-hospital mortality was 1.5% (n=134), and 30-day mortality was 1.9% (n=163). IEWS demonstrated excellent discriminative ability for in-hospital and 30-day mortality (AUC: 0.944 and 0.930, respectively), and good performance for ICU admission (AUC: 0.876). In contrast, NEWS showed good performance for in-hospital and 30-day mortality (AUC: 0.884 and 0.848, respectively) and moderate performance for ICU admission (AUC: 0.781). IEWS consistently outperformed NEWS across all outcomes (p<0.05, DeLong’s test). Conclusion IEWS outperformed NEWS in predicting in-hospital mortality, 30-day mortality, and ICU admission among non-traumatic ED patients. Given its high sensitivity, specificity, and overall discriminative performance, IEWS Creator An entity primarily responsible for making the resource Fatma Bayram1 , Buğra İlhan2*, Zeynep Kan3 , Oğuz Eroğlu2 and Turgut Deniz2 Source A related resource from which the described resource is derived https://doi.org/10.1186/s12873-025-01440-4 Date A point or period of time associated with an event in the lifecycle of the resource 2026 Contributor An entity responsible for making contributions to the resource Peri Irawan Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource ENGLISH Type The nature or genre of the resource TEXT Early warning score, International Early Warning Score, National Early Warning Score, Mortality prediction, Intensive care admission, Emergency department https://repository.horizon.ac.id/files/original/401286ffeb1aacb4c8f3e71e33e5cdea.pdf 7d6e5fa6d0b1850436d62381c3f337cc Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource volume 26 2026 Contributor An entity responsible for making contributions to the resource PERI IRAWAN Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource External validation of the modified Brain Injury Guidelines: an observational study Subject The topic of the resource Brain Injury Guidelines, Mild traumatic brain injury, Head trauma Description An account of the resource Background Mild traumatic brain injury (mTBI) is a frequent cause of emergency department (ED) admission, with most cases being uncomplicated. However, a subset of patients presents with intracranial findings on CT, such as cerebral hemorrhage or skull fracture, that raise concerns for potential clinical deterioration. The modified Brain Injury Guidelines (mBIG) provide a risk-stratification framework for managing such patients but do not address cerebral hygromas or indeterminate radiological lesions, both commonly encountered in clinical practice. This study aimed to externally validate the mBIG criteria, including patients with cerebral hygromas and indeterminate radiological lesions on CT scan, in order to assess their prognostic accuracy for severe neurological outcomes. Methods We conducted a retrospective single-center observational study of 451 adult patients presenting to the ED with a blunt head trauma who underwent initial CT imaging and clinical evaluation. Patients were classified as mBIG 1, 2, or 3 based on CT findings and clinical criteria. Outcomes were extracted from electronic medical records, with the primary outcome defined as a composite of death due to mTBI, neurosurgical intervention, or admission to intensive care unit. Results Among 237 patients classified as mBIG 1, 38.8% exhibited an indeterminate radiological lesion and 35% had cerebral hygromas. The primary outcome was observed in only one mBIG 1 patient (0.4%; 95% CI: 0.0%–2.3%), demonstrating high sensitivity (94.7%; 95% CI: 74%-99.9%) and low negative likelihood ratio (0.1; 95% CI: 0.01-0.65), albeit with wide confidence intervals due to limited sample size. Radiological progression occurred in 6.3% of mBIG 1 patients, though none required neurosurgical intervention or intensive care admission Conclusion The mBIG criteria appear to be a safe and efficient approach for managing complicated mTBI, even in cases involving cerebral hygromas and indeterminate radiological lesions. This preliminary validation suggests good prognostic performance, but further large-scale prospective studies are needed to confirm applicability in routine ED practice. Creator An entity primarily responsible for making the resource Giorgio Colombo1*, Anna Giuliani2 , Francesca Gianni3 , Rosa Casella1 , Giulio Andrea Bertani4 , Giovanni Casazza3 and Giorgio Costantino3 Source A related resource from which the described resource is derived https://doi.org/10.1186/s12873-025-01454-y Date A point or period of time associated with an event in the lifecycle of the resource 2026 Contributor An entity responsible for making contributions to the resource PERI IRAWAN Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource ENGLISH Type The nature or genre of the resource TEXT Brain Injury Guidelines, Mild traumatic brain injury, Head trauma