2 10 14 https://repository.horizon.ac.id/files/original/d708210b70f367d9a960797b0d7b0045.PDF 4b043ef11dd19cb7e999eebaad562d9d 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 22 ISSUE 3 NOVEMBER 2022 Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. 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 Factors infuencing conveyance of older adults with minor head injury by paramedics to the emergency department: a multiple methods study Subject The topic of the resource Head Injury, Minor, Injuries, Head, Aged 65+, Paramedic, Emergency Medical Services, Interview, Decision Making Description An account of the resource Background: Head injury (HI) in older adults due to low-energy falls result in a substantial number of emergency department (ED) attendances. However, mortality associated with minor HI is very low. Reducing conveyance to hospital is important for older adults and is a priority for the National Health Service (NHS). Therefore, paramedics are required to make accurate decisions regarding conveyance to the ED. This study used routine data and semi�structured interviews to explore the factors that infuence paramedic decision-making when considering whether to convey an adult aged 65 years and over with a minor HI to the ED. Methods: Semi-structured telephone interviews were completed with ten UK paramedics from a single EMS (ambu�lance) provider organisation. Interviews explored the factors infuencing the paramedics’ conveyance decision-mak�ing in adults aged 65 years and over with a minor HI. Data were initially analysed inductively to develop a thematic framework. A retrospective analysis of ambulance service data was also completed to determine the scope and scale of the issue in Southwest England. An in-depth audit of 100 conveyed patient records was used to determine the proportion of patients conveyed to the ED who met National Institute for Health and Care Excellence (NICE) and Joint Royal Colleges Ambulance Liaison Committee (JRCALC) guidelines. Results: In 2019 South Western Ambulance Service NHS Foundation Trust (SWASFT) attended 15,650 emergency calls to patients aged 65 and over with minor HI, with 70.5% conveyed to ED. 81% of conveyed patients met NICE and JRCALC guideline criteria for conveyance, with the remainder conveyed due to wound care or other medical concerns. The framework developed from the interviews comprised four themes: resources; patient factors; conse�quences; paramedic factors. Important factors included: the patient’s social situation; guidelines; clinical support avail�ability; the history and presentation of the patient; risk. Conclusion: This study examined paramedic conveyance decisions for older people with minor HI. It identifed mul�tiple infuencing factors, highlighting the complex nature of these decisions, and may serve as a basis for developing an intervention to safely decrease ED conveyance in this patient group Creator An entity primarily responsible for making the resource Helen Nicholson, Sarah Voss, Sarah Black, Hazel Taylor, David Williams and Jonathan Benger Publisher An entity responsible for making the resource available BMC Emergency Medicine Date A point or period of time associated with an event in the lifecycle of the resource (2022) 22:184 Contributor An entity responsible for making contributions to the resource Fajar Bagus W 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 Aged 65+ Decision Making Emergency Medical Services, Head Head Injury Injuries Interview Jurnal Internasional Keperawatan Minor Paramedic https://repository.horizon.ac.id/files/original/a1abab22063fa2b62fbabaf16223c696.PDF e515f46188e33e906ff94ed126768bd9 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 22 ISSUE 3 NOVEMBER 2022 Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. 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 model of brain death in out-of-hospital cardiac arrest patients: a single-center retrospective and internal validation analysis Subject The topic of the resource Brain death, Out-of-hospital cardiac arrest, Cardiopulmonary resuscitation, Organ donation, Prediction model Description An account of the resource Background: A shortage of donor organs amid high demand for transplantable organs is a worldwide problem, and an increase in organ donation would be welcomed by the global healthcare system. Patients with brain death (BD) are potential organ donors, and early prediction of patients with BD may facilitate the process of organ procurement. Therefore, we developed a model for the early prediction of BD in patients who survived the initial phase of out-of�hospital cardiac arrest (OHCA). Methods: We retrospectively analyzed data of patients aged<80 years who experienced OHCA with a return of spontaneous circulation (ROSC) and were admitted to our hospital between 2006 and 2018. We categorized patients into either a non-BD or BD group. Demographic and laboratory data on ED admission were used for stepwise logistic regression analysis. Prediction scores of BD after OHCA were based on β-coefcients of prognostic factors identifed in the multivariable logistic model. Results: Overall, 419 OHCA patients with ROSC were admitted to our hospital during the study period. Seventy�seven patients showed BD (18.3%). Age and etiology of OHCA were signifcantly diferent between the groups. Logis�tic regression analysis confrmed that age, low-fow time, pH, and etiology were independent predictors of BD. The area under the receiver operating characteristic curve for this model was 0.831 (95% confdence interval, 0.786–0.876). Conclusions: We developed and internally validated a new prediction model for BD after OHCA, which could aid in the early identifcation of potential organ donors for early donor organ procurement. Creator An entity primarily responsible for making the resource Yuki Itagaki , Mineji Hayakawa, Kunihiko Maekawa, Akira Kodate, Koyo Moriki, Yuki Takahashi and Hisako Sageshima Publisher An entity responsible for making the resource available BMC Emergency Medicine Date A point or period of time associated with an event in the lifecycle of the resource (2022) 22:177 Contributor An entity responsible for making contributions to the resource Fajar Bagus W 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 death Cardiopulmonary resuscitation Jurnal Internasional Keperawatan Organ donation Out-of-hospital Cardiac Arrest Prediction model https://repository.horizon.ac.id/files/original/2bbf6057571f25d7cb042231907d4e48.PDF 44d4137dadfdac9d884db691a3b93aef 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 22 ISSUE 3 NOVEMBER 2022 Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. 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 Association between variables measured in the ambulance and in-hospital mortality among adult patients with and without infection: a prospective cohort study Subject The topic of the resource Mortality, Infection, Sepsis, Emergency medical services, Prehospital, Emergency care Description An account of the resource Background: Patients presenting with infection to the ambulance are common, but risk factors for poor outcome are not known. The primary aim of the current study was to study the association between variables measured in the ambulance and mortality among adult patients with and without infection. The secondary aim was to study the association between these variables and mortality in a subgroup of patients who developed sepsis within 36 h. Methods: Prospective cohort study of 553 ambulance patients with, and 318 patients without infection, performed in Stockholm during 2017–2018. The association between 21 variables (8 keywords related to medical history, 6 vital signs, 4 blood tests, and age, gender, comorbidity) and in-hospital mortality was analysed using logistic regression. Results: Among patients with infection, inability of the patient to answer questions relating to certain symptoms such as pain and gastrointestinal symptoms was signifcantly associated with mortality in univariable analysis, in addition to oxygen saturation<94%, heart rate>110 /min, Glasgow Coma Scale (GCS)<15, soluble urokinase Plasminogen Activator Receptor (suPAR) 4.0–7.9 ng/mL, suPAR≥8.0 ng/mL and a Charlson comorbidity score≥5. suPAR≥8.0 ng/mL remained signifcant in multivariable analysis (OR 25.4; 95% CI, 3.2–199.8). Among patients without infection, suPAR≥8.0 ng/mL and a Charlson comorbidity score≥5 were signifcantly associated with mortality in uni‑ variable analysis, while suPAR≥8.0 ng/mL remained signifcant in multivariable analysis (OR 56.1; 95% CI, 4.5–700.0). Among patients who developed sepsis, inability to answer questions relating to pain remained signifcant in multi‑ variable analysis (OR 13.2; 95% CI, 2.2–78.9), in addition to suPAR≥8.0 ng/mL (OR 16.1; 95% CI, 2.0–128.6). Conclusions: suPAR≥8.0 ng/mL was associated with mortality in patients presenting to the ambulance both with and without infection and in those who developed sepsis. Furthermore, the inability of the ambulance patient with an infection to answer questions relating to specifc symptoms was associated with a surprisingly high mortality. These results suggest that suPAR and medical history are valuable tools with which to identify patients at risk of poor outcome in the ambulance and could potentially signal the need of enhanced attention. Trial registration: ClinicalTrials.gov, NCT03249597. Registered 15 August 2017—Retrospectively registered, https:// clinicaltrials.gov/ct2/show/NCT03249597 Creator An entity primarily responsible for making the resource Ulrika Margareta Wallgren, Hans Järnbert‑Pettersson, Jan Sjölin and Lisa Kurland Publisher An entity responsible for making the resource available BMC Emergency Medicine Date A point or period of time associated with an event in the lifecycle of the resource (2022) 22:185 Contributor An entity responsible for making contributions to the resource Fajar Bagus W 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 care Emergency medical services infection Jurnal Internasional Keperawatan mortality Prehospital sepsis https://repository.horizon.ac.id/files/original/dad6cedc2cb9f3d8b24f6da7b388a8c4.PDF babfe7d752c3cd2ea37f3c5a9b9d4de2 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 22 ISSUE 3 NOVEMBER 2022 Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. 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 A prediction model for massive hemorrhage in trauma: a retrospective observational study Subject The topic of the resource Trauma, Massive hemorrhage, LASSO, Prediction model, Assisted diagnosis Description An account of the resource Background: Massive hemorrhage is the main cause of preventable death after trauma. This study aimed to estab�lish prediction models for early diagnosis of massive hemorrhage in trauma. Methods: Using the trauma database of Chinese PLA General Hospital, two logistic regression (LR) models were ft to predict the risk of massive hemorrhage in trauma. Sixty-two potential predictive variables, including clinical symptoms, vital signs, laboratory tests, and imaging results, were included in this study. Variable selection was done using the least absolute shrinkage and selection operator (LASSO) method. The frst model was constructed based on LASSO feature selection results. The second model was constructed based on the frst vital sign recordings of trauma patients after admission. Finally, a web calculator was developed for clinical use. Results: A total of 2353 patients were included in this study. There were 377 (16.02%) patients with massive hemor�rhage. The selected predictive variables were heart rate (OR: 1.01; 95% CI: 1.01–1.02; P<0.001), pulse pressure (OR: 0.99; 95% CI: 0.98–0.99; P=0.004), base excess (OR: 0.90; 95% CI: 0.87–0.93; P<0.001), hemoglobin (OR: 0.95; 95% CI: 0.95–0.96; P<0.001), displaced pelvic fracture (OR: 2.13; 95% CI: 1.48–3.06; P<0.001), and a positive computed tomogra�phy scan or positive focused assessment with sonography for trauma (OR: 1.62; 95% CI: 1.21–2.18; P=0.001). Model 1, which was developed based on LASSO feature selection results and LR, displayed excellent discrimination (AUC: 0.894; 95% CI: 0.875–0.912), good calibration (P=0.405), and clinical utility. In addition, the predictive power of model 1 was better than that of model 2 (AUC: 0.718; 95% CI: 0.679–0.757). Model 1 was deployed as a public web tool (http://82. 156.217.249:8080/). Conclusions: Our study developed and validated prediction models to assist medical staf in the early diagnosis of massive hemorrhage in trauma. An open web calculator was developed to facilitate the practical application of the research results. Creator An entity primarily responsible for making the resource Chengyu Guo, Minghui Gong, Lei Ji, Fei Pan, Hui Han, Chunping Li and Tanshi Li Publisher An entity responsible for making the resource available BMC Emergency Medicine Date A point or period of time associated with an event in the lifecycle of the resource (2022) 22:180 Contributor An entity responsible for making contributions to the resource Fajar bagus W 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 Assisted diagnosis Jurnal Internasional Keperawatan LASSO Massive hemorrhage Prediction model Trauma