BMC Emergency Medicine最新文献

Emergency medical services often serve as the initial point of contact for septic patients, offering crucial pre-hospital intervention opportunities. However, the efficacy of pre-hospital interventions remains uncertain. From this perspective, we'll talk about the available evidence of pre-hospital sepsis and septic shock treatment and the barriers to its implementation.

Background: In Emergency Departments (EDs), triage is crucial for determining patient severity and prioritizing care, typically using the Manchester Triage Scale (MTS). Traditional triage systems, reliant on human judgment, are prone to under-triage and over-triage, resulting in variability, bias, and incorrect patient classification. Studies suggest that Machine Learning (ML) and Natural Language Processing (NLP) could enhance triage accuracy and consistency. This review analyzes studies on ML and/or NLP algorithms for ED patient triage.

Methods: Following Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) guidelines, we conducted a systematic review across five databases: Web of Science, PubMed, Scopus, IEEE Xplore, and ACM Digital Library, from their inception of each database to October 2023. The risk of bias was assessed using the Prediction model Risk of Bias Assessment Tool (PROBAST). Only articles employing at least one ML and/or NLP method for patient triage classification were included.

Results: Sixty studies covering 57 ML algorithms were included. Logistic Regression (LR) was the most used model, while eXtreme Gradient Boosting (XGBoost), decision tree-based algorithms with Gradient Boosting (GB), and Deep Neural Networks (DNNs) showed superior performance. Frequent predictive variables included demographics and vital signs, with oxygen saturation, chief complaints, systolic blood pressure, age, and mode of arrival being the most retained. The ML algorithms showed significant bias risk due to critical bias assessment in classification models.

Conclusion: NLP methods improved ML algorithms' classification capability using triage nursing and medical notes and structured clinical data compared to algorithms using only structured data. Feature engineering (FE) and class imbalance correction methods enhanced ML workflows' performance, but FE and eXplainable Artificial Intelligence (XAI) were underexplored in this field. Registration and funding. This systematic review has been registered (registration number: CRD42024604529) in the International Prospective Register of Systematic Reviews (PROSPERO) and can be accessed online at the following URL: https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=604529 . Funding for this work was provided by the National Council for Scientific and Technological Development (CNPq), Brazil.

Background: Persons who become life-threateningly ill or injured (due to for example trauma or cardiac arrest) are cared for in hospitals' designated emergency rooms at the emergency department (ED). In these rooms, the life-threatening condition and biomedical focus may reinforce a culture that value the medical-technical care. Meeting patients fundamental care needs (integrating physical, psychosocial and relational care needs) in a person-centred way might hence be challenging in emergency rooms. Little is known about how person-centred fundamental care is experienced and valued by vulnerable and exposed patients in emergency rooms. This study aims to describe fundamental care needs experienced by patients with a life-threating condition in the emergency room.

Methods: A descriptive deductive qualitative study with individual interviews were carried out with 15 patients who had been life-threateningly ill or injured and admitted in an emergency room, in Sweden. Data collection was conducted during 2022. Transcribed interviews were analyzed with deductive content analysis, based on the Fundamentals of Care framework.

Results: Despite being life-threateningly ill or injured, patients were still able to describe their unique needs-which were not only related to biomedical care. A relationship was established between healthcare professionals and the patient in the initial stage, but not maintained during their stay at the emergency room. Patients felt their physical needs were met to a greater extent than psychosocial and relational needs, despite their prioritizing the latter. Patients preferred personalized care but described care as task oriented. The physical environment limited patients from having their fundamental care needs met, and they adopted to a "patient role" to avoid adding to staff stress. The emergency room situation evoked existential thoughts.

Conclusions: This paper provides unique insights into patients' experiences of being cared for in an emergency room. From the patient perspective, physical care was not enough. Relationship, timely and personalized information, and existential needs were identified as essential fundamental care needs, which were not, or only partly met. The finding highlights the need to embed and prioritize fundamental care in practice also for patients who are life-threateningly ill or injured, which in turn calls for focus on organizational prerequisites to enable person-centred fundamental care.

Background: Trauma represents a significant global health challenge.The development of an effective scoring tool capable of predicting mortality risk in trauma cases is essential. This study aimed to investigate the combined effects of quick sequential organ failure assessment (qSOFA) and hypothermia (H) along with prothrombin time (PT) in predicting the prognosis of patients with severe trauma.

Methods: A retrospective cohort study was conducted to analyze data from severe trauma patients in the Trauma Database of the Trauma Center at the Second Affiliated Hospital of Soochow University between January 2017 and December 2021. Patients were categorized into survival and non-survival groups based on clinical outcomes. Baseline and clinical data were compared between the groups, and prognostic factors were explored using logistic regression analysis. Receiver operating characteristic (ROC) curves generated by 10-fold cross-validation using the caret in R programming language were used to assess the predictive efficacy of Injury Severity Score (ISS) and qSOFA + H + PT score for trauma patient mortality.

Results: A total of 509 severe trauma patients (377 males and 132 females) were included, with a median age of 53 years (range: 42-65 years). The mortality rate was found to be 23.4%. Logistic regression analysis revealed that age, ISS, and qSOFA + H + PT were significant predictors of death in severe trauma patients, with odds ratios of 1.035 (95%CI:1.014-1.057), 1.052 (95%CI:1.017-1.090), and 6.124 (95%CI:3.107-12.072), respectively (P < 0.05). The predictive efficacy of ISS and qSOFA + H + PT for mortality prediction was 0.742 and 0.816, respectively.The predictive efficacy of qSOFA + H + PT for emergency blood transfusion and operation was 0.743 and 0.702.

Conclusion: qSOFA + H + PT are identified as significant predictors to the death of severe trauma patients. They could be utilized as early intervention indicators in emergency departments, facilitating clinical management strategies such as emergency blood transfusion, emergency operation, and prognosis prediction.

Background: Non-life-threatening cases treated by emergency services have been increasing in recent years, especially in older people. In a region in Germany with approximately 600,000 inhabitants, the role of a specially trained community paramedic (Gemeindenotfallsanitäter, G-NFS) was introduced in 2019. The G-NFS is dispatched to low-acuity requests, attends the assignment alone and is allowed to treat patients at home.

Aim: The aim of this study was to analyse the assignments attended by the G-NFS relating to the suspected diagnoses, with a focus on older people (≥ 65 years) according to their care setting.

Methods: In this descriptive, retrospective study, we analysed the anonymous assignment report forms 07/2023-12/2023 of cases where patients were aged ≥ 65 years. The suspected diagnoses (free text field) were categorised according to the International Classification of Primary Care 2nd Edition (ICPC-2) scheme. Furthermore, baseline characteristics, urgency of the assignment, provided measures, transport and further treatment were analysed, stratified by care setting.

Results: Of the 1,643 included anonymous assignment report forms, 52.9% (n = 869) related to patients aged ≥ 65 years. In this population, the mean age was 80.7 years (SD 8.2), 49.6% were female and most were in long-term care, whether as home care recipients (34.8%) or as nursing home residents (26.9%). The most frequent diagnoses were categorised as urological (24.9%), general and unspecified (13.7%), circulatory (13.6%), digestive (12.8%), musculoskeletal (11.5%) and respiratory (10.3%). In 52.7% of the cases no transport was necessary, while 73.7% of urological cases did not need to be transported.

Conclusion: The G-NFS was dispatched mainly to older people. Most of them were in long-term care and were not transported. The most common suspected diagnoses were categorised as urological, followed by general and unspecified, and circulatory, and differed by care setting. There is a strong need to strengthen outpatient healthcare structures for low-acuity health issues in older and immobile patients.

Objectives: Emergency Medical Communication Centers (EMCC) have a key role in the prehospital chain-of-stroke-survival by recognizing stroke patients and reducing prehospital delay. However, studies on EMCC stroke recognition report both substantial undertriage and overtriage. Since mis-triage at the EMCC challenges the whole chain-of-stroke-survival, by occupying limited resources for non-stroke patients or failing to recognize the true stroke patients, there is a need to achieve a more comprehensive understanding of the dispatchers' routines and experiences. The aim of this study was to explore factors affecting EMCC dispatcher's decision-making in stroke calls.

Materials and methods: A qualitative exploratory study, based on individual semi-structured interviews of 15 medical dispatchers from EMCC Oslo, Norway. Interviews were conducted during August and October 2022 and analyzed using the principles of thematic analysis.

Results: We identified four themes: [1] Pronounced stroke symptoms are easy to identify [2]. Non-specific neurological symptoms raise suspicion of acute stroke but are difficult to differentiate from other medical conditions [3]. Consistent use of the Criteria Based Dispatch (CBD) protocol may increase EMCC overtriage [4]. Contextual conditions at EMCC can affect dispatchers' decision-making process and the ability for experiential learning.

Conclusions: Medical dispatchers at the EMCC perceive vague and non-specific stroke symptoms, such as dizziness, confusion or altered behaviour, challenging to differentiate from symptoms of other less time-critical medical conditions. They also perceive the current CBD protocol in use as less supportive in assessing such symptoms. High workload and strict EMCC response time interval requirements hinder the gathering of essential patient information and the ability to seek guidance in cases of doubt, potentially exacerbating both EMCC undertriage and overtriage. The absence of feedback loops and other strategies for experiential learning in the EMCC hampers the medical dispatcher's ability to evaluate their own assessments and improve dispatch accuracy.

Background: The duration between a patient's arrival at the Emergency Department (ED) and their actual departure, known as the Emergency Department Length of Stay (EDLOS), can have significant implications for a patient's health. In Ethiopia, various studies have investigated EDLOS, but a comprehensive nationwide pooled prevalence of prolonged EDLOS, which varies across different locations, is currently lacking. Therefore, the objective of this systematic review and meta-analysis is to provide nationally representative pooled prevalence of prolonged EDLOS and identify associated factors.

Methods: In this study, we conducted a comprehensive systematic review and meta-analysis using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 checklist. We conducted a thorough search of numerous international databases, including PubMed/Medline, SCOPUS, Web of Science, and Google Scholar. The primary outcome was the prevalence of prolonged EDLOS. The secondary outcome was factors affecting the EDLOS. Random-effects model was used to since there was high heterogeneity. We also conducted subgroup analysis and meta-regression to investigate heterogeneity within the included studies. To assess publication bias, we used Egger's regression test and funnel plots. All statistical analyses were performed using STATA version 17.0 software to ensure accurate and reliable findings.

Result: We have identified eight articles that met our inclusion criteria with a total sample size of 8,612 participants. The findings of this systematic review and meta-analysis indicate that the pooled estimate for the prevalence of prolonged EDLOS is 63.67% (95% CI = 45.18, 82.16, I² = 99.56%, P = 0.0001). The study identified several significant factors associated with prolonged EDLOS, including patients admitted to overcrowded emergency departments (OR = 5.25, 95% CI = 1.77, 15.58), delays in receiving laboratory findings (OR = 3.12, 95% CI = 2.16, 4.49), and delays in receiving radiological results (OR = 3.00, 95% CI = 2.16, 4.16).

Conclusion: In this review, the EDLOS was found to be very high. Overcrowding, delays in laboratory test findings, and delays in radiology test results make up the factors that have a statistically significant association with prolonged EDLOS. Given the high prevalence of prolonged EDLOS in this review, stakeholders should work to increase the timeliness of ED services in Ethiopia by proper disposition of non-emergency palliative patients to the appropriate destination, and implementing point-of-care testing and imaging.

Background: The emergency medical service (EMS) addresses all chief complaints across all ages in various contexts. Children in EMS present a particular challenge due to their unique anatomical and physical properties, which require specific training that EMS clinicians often report lacking. This combination exposes children to incidents threatening patient safety. The most common method to highlight incidents is the incident reporting system. Studies have shown underreporting of such incidents, highlighting the need for multiple methods to measure and enhance patient safety in EMS for children. Thus, the aim of this study was to modify and adapt the current Ambulance TT for road-based EMS (ATT) to a pediatric version (pATT) with a guide containing definitions of triggers.

Methods: The adaption of the ambulance trigger tool to a version suitable for children followed a stepwise manner, including (1) a review of previous literature to pinpoint areas of risk regarding patient safety among children in EMS. (2) Three sessions of expert panel discussions via video meetings were held to evaluate each trigger of the ATT in terms of clinical relevance, comprehensibility, language and areas of risk regarding patient safety among children in EMS. (3) Clinical use of the pATT along with Retrospective Record Review (RRR). (4) Calculation of Item-level validity index and positive predictive value (PPV) for each trigger. (5) calculate inter-rater reliability between two independent record reviewers.

Results: The literature search revealed 422 respective 561 articles in Cinahl and Medline where headlines and abstracts were read to identify areas posing risks to patient safety in EMS for children. During the structured discussions, one trigger was added to the existing 19 derived from the ATT, and the trigger definitions were modified to suit children. The three most common triggers identified in the 900 randomly selected records were deviation from treatment guidelines (63.9%), incomplete documentation (48.3%), and the patient is non conveyed after EMS assessment (41.1%). The positive triggers were categorized into near miss (54.6%), no harm incident (5.8%), and harmful incident (0.4%). Inter-rater reliability testing showed excellent agreement.

Conclusion: This study demonstrates the adaptation of an existing trigger tool (ATT) to one suitable for children. It also shows that the trigger tool, along with retrospective record review, is a feasible method to evaluate patient safety in EMS, thus complementing existing methods.

Background: Ambulance missions involving pediatric patients are common in emergency medical services (EMS) globally, with variations in prevalence based on geographic location. This retrospective cohort study analyzes the prehospital physician staffed units (p-EMS) in Stockholm, assignment dispatches and the prehospital characteristics and interventions involved, from January 1, 2021, to December 31, 2022.

Methods: Utilizing data from LogEze, a quality assurance system, we reviewed all Rapid Response Vehicle (RRV) operations in the Stockholm Region, which totaled 4,682 pediatric assignments. The analysis included dispatch types and interventions assessing the frequency and nature of pediatric prehospital missions.

Results: Pediatric cases constituted 20.0 % of RRV dispatches, with the majority involving respiratory distress, seizures, and blunt trauma. Despite high dispatch rates, advanced medical interventions were seldom required, indicating most pediatric cases were not severe. Stand-downs occurred in 30.1 % of cases, reflecting the cautious approach in pediatric dispatches. Furthermore, the study observed a significant reliance on p-EMS for complex pediatric cases, underscoring the value of specialized training and resources in managing such emergencies.

Conclusion: The study highlights the crucial role of p-EMS in enhancing pediatric emergency care in Stockholm. Despite frequent pediatric dispatches, the low incidence of severe cases underscores the need for precise triage and resource allocation. This analysis supports the need for continuous training and resource optimization in p-EMS to ensure high-quality care for pediatric patients across varied emergency scenarios.