Scene Time Research Articles

Characteristics of Paediatric Patients Transported by Emergency Care Personnel in a Government Tertiary Care Centre, Mysuru, India: A Cross-sectional Study

Introduction: Emergency Medical Service (EMS) systems have been well established and designed largely to cater to the needs of the cardiac and trauma related emergencies in adult patients. Paediatric emergencies are different; the benefits and outcomes of paediatric EMS have been assumed but without much evidence. With the emergence of paediatric and neonatal Advanced Life Support (ALS); it is imperative to have data that define the problems encountered in the prehospital care setting and also their outcome. This analysis may also provide insights into any modifications that may be required in the EMS system that exists to transport sick children. Aim: To characterise the paediatric prehospital care with emphasis on demography, presenting symptoms, treatment given, prehospital times, vitals monitoring and interventions done during EMS transport affiliated to Emergency Medical Service Agency. Materials and Methods: This descriptive cross-sectional study was conducted from July 2018 to June 2019 in Cheluvamba Hospital, a tertiary care referral teaching hospital attached to Mysore Medical College and Research Institute, Mysuru, India. The study included 147 children who were provided EMS by the 108 ambulance affiliated to the state/central government. Data pertaining to demography, presenting symptoms, vital sign monitoring, treatment given, various prehospital times, and interventions done during transport was obtained and analysed. Inpatient diagnosis with the duration of hospital stay and outcome in these childrens were also described. Results: Among the 147 children included; 3 were brought dead, hence the studied population comprised of 144 children. Amongst them, 42 were neonates and the remaining 102 belonged to the general paediatric population (older children). Overall, 61.8% were males and 57.64% hailed from a rural background. Mean ‘on- scene’ time was 12.12±2.34 minutes and 5.50±5.01 minutes, and ‘transport time’ was 33.79±16.78 minutes, and 26.11±14.2 minutes for neonates and older children, respectively. Respiratory distress was the most common presenting symptom. The mean Heart Rate (HR, beats/min), Respiratory Rate (RR, cycles/min) and temperature (°C) in neonates was 129.86±27.91, 59.90±15.40 and 36.14±0.84 whereas in older children it was 112.81±28.39, 34.87±14.86, and 37.40±0.96, respectively. Mean systolic blood pressure (SBP mmHg) in children aged more than 10 years was 116.67±8.61. Of the 39 children aged more than 6 years, 36 (92.30%) had a Glasgow Coma Scale (GCS) between 13-15. The most common intervention done was administering oxygen in 84.02% (121/144) of children; 34.02% (49/144) of children were unstable at admission; 127 (88.2%) were discharged; remaining 17 (11.8%) succumbed to their illness. On- scene time of more than 15 minutes, transport time of more than 30 minutes and factors such as hypoxia, respiratory failure and shock at admission were significantly associated with mortality (p<0.001). Conclusion: Majority of the EMS transports were related to medical conditions. Basic Life Support (BLS) interventions were done albeit mostly in older children. Emergency Medical Technicians (EMT)/paramedics delivering EMS need special training to orient themselves to the special needs of critically ill children and to improve their outcome.

Effect of Prehospital Epinephrine Use on Survival from Out-of-Hospital Cardiac Arrest and on Emergency Medical Services.

This study was to identify the effect of epinephrine on the survival of out-of-hospital cardiac arrest (OHCA) patients and changes in prehospital emergency medical services (EMSs) after the introduction of prehospital epinephrine use by EMS providers. This was a retrospective observational study comparing two groups (epinephrine group and norepinephrine group). We used propensity score matching of the two groups and identified the association between outcome variables regarding survival and epinephrine use, controlling for confounding factors. The epinephrine group was 339 patients of a total 1943 study population. The survival-to-discharge rate and OR (95% CI) of the epinephrine group were 5.0% (p = 0.215) and 0.72 (0.43–1.21) in the total patient population and 4.7% (p = 0.699) and 1.15 (0.55–2.43) in the 1:1 propensity-matched population. The epinephrine group received more mechanical chest compression and had longer EMS response times and scene times than the norepinephrine group. Mechanical chest compression was a negative prognostic factor for survival to discharge and favorable neurological outcomes in the epinephrine group. The introduction of prehospital epinephrine use in OHCA patients yielded no evidence of improvement in survival to discharge and favorable neurological outcomes and adversely affected the practice of EMS providers, exacerbating the factors negatively associated with survival from OHCA.

Association of the duration of on-scene advanced life support with good neurological recovery in out-of-hospital cardiac arrest.

As advanced life support (ALS) provided by emergency medical services (EMS) on scene becomes more common, the scene time interval (STI) for which EMS providers stay on scene tends to lengthen. We investigated the relationship between the STI and neurological outcome of patients at hospital discharge when ALS was provided by EMS on scene. We conducted a retrospective analysis of prospectively collected out-of-hospital cardiac arrest (OHCA) data between August 2015 and December 2018. A restricted cubic spline curve was used to investigate the relationship between the STI and neurologic outcome, and patients were divided into two groups based on the cut-off value obtained through receiver operating characteristic (ROC) analysis. Comparisons of outcomes between the two groups were performed before and after propensity score matching. 4548 patients were included in the analysis. In ROC analysis, the optimal cut-off value for STI was 19min. For the group with an STI <19min, survival admission, survival discharge, and good neurologic outcome at hospital discharge were all higher than for the group with STI ≥19min before and after propensity score matching. The multivariable model also showed that the STI ≥19min was significantly associated with poor neurologic outcome at hospital discharge compared with the STI <19min (adjusted odds ratio, 2.00; 95% CI, 1.40-2.88). A duration of on-scene ALS more than 19min was associated with a poor neurologic outcome of patients at hospital discharge in OHCA.

Early Changes in Patient Access Interval during the COVID-19 Pandemic

Background: COVID-19 was first reported in the United States in January 2020. Its spread throughout the country required EMS systems to rapidly adapt to patient needs while protecting EMS personnel. EMS agencies developed protocols requiring personnel to don enhanced personal protective equipment prior to patient contact. We hypothesized that the Patient Access Interval (PAI), defined as the time from wheels stopped on scene to initial patient contact, had increased during the COVID pandemic. This had the potential to affect patient outcomes, particularly in time-sensitive emergencies such as cardiac arrest or respiratory distress. Methods: This retrospective cohort study used commercial ambulance data from the four largest cities in Connecticut at two different time points: (Pre-COVID) March-May 2019, and (COVID) March-May 2020. PAI was calculated from contemporaneously reported scene times. Total cases were analyzed, and sub-analyses performed for calls located at extended care facilities (ECFs), for all emergent (Echo/Delta) calls, and for medical cardiac arrest calls. Results: 92,846 total cases were evaluated: 50,083 from 2019, and 42,763 from 2020. Cases that did not include necessary time data for PAI were removed, yielding 75,796 total cases (41,852 from 2019, 33,944 from 2020). The average PAI increased from 1 minute 55 seconds (1 m:55s) Pre-COVID to 2 m:18s COVID. ECF PAI increased from 2 m:39s to 3 m:42s. Echo/Delta PAI increased from 1 m:42s to 2 m:07s. Medical cardiac arrest PAI increased from 1 m:27s to 2 m:04s, and ECF cardiac arrest PAI increased from 2 m:18s to 4 m:35s (all comparisons p < 0.01). Conclusions: There were statistically significant increases in all studied PAIs during COVID. The 23 second increase in PAI for all calls may not have been clinically significant in most cases; however, for life-threatening patient presentations, the increase may have been particularly relevant. The increased PAI was compounded in the ECF environment, possibly due to state-mandated screening and temperature checks of EMS personnel before entering facilities. This was highlighted in the ECF cardiac arrest data, which demonstrated a clinically significant increase in PAI of 2m:17s. While this study was limited by the accuracy of contemporaneous time reports by EMS, the results support our hypothesis that PAI had increased during the COVID pandemic.

Abstract 10319: Community Socioeconomic and Urban-Rural Differences in Emergency Medical Services Time Intervals for Suspected Stroke Patients in North Carolina

Introduction: Rapid emergency medical services (EMS) response, care, and transport of acute stroke patients increases the likelihood of receiving time-sensitive treatment. There is limited research on the relationship of community factors with prehospital delays in EMS management of stroke. We compared EMS prehospital time intervals for suspected stroke patients by community socioeconomic status (SES) and urban-rural status in North Carolina (NC). Methods: We analyzed 2019 NC EMS encounter data collected in the National EMS Information System Version 3 standard. Eligible patients were adults requiring a 911 call response by EMS for stroke-like symptoms and transport to the hospital. Incident street addresses were geocoded to census tracts using ArcGIS Pro and linked to SES data from the American Community Survey and rural-urban commuting area (RUCA) codes. Community SES was defined as high, medium, or low based on tertiles of the AHRQ SES index. Urban, suburban, and rural tracts were defined by RUCA codes 1, 2-6, and 7-10, respectively. Differences in mean times by community SES and urban-rural status were evaluated using Kruskal Wallis tests. Results: We identified 17,117 eligible EMS encounters of suspected stroke (65% (11,121 of 17,117) 65+ years old; 55% (9,330 of 17,117) female; 70% (11,839 of 17,117) White) from 2,028 tracts. Median response, scene, and transport times were 8 (interquartile range, IQR 6-11) min, 16 (IQR 12-20) min, and 14 (IQR 9-22) min, respectively. Mean transport times were shorter in low SES (16 min) than in medium and high SES communities (17 min, p&lt;.0001). Mean transport times were longer in rural (21 min) and suburban (19 min) than in urban tracts (14 min, p&lt;.0001). Conclusions: EMS transport times were on average longer for suspected stroke patients in rural but not in low SES tracts. Further research is needed on the role of community socioeconomic deprivation and rurality in contributing to delays in prehospital stroke care.

Profiling helicopter emergency medical service winch operations involving physicians in Queensland, Australia.

To analyse the mission profiles of helicopter emergency medical service (HEMS) winch operations involving LifeFlight Retrieval Medicine physicians in Queensland, Australia, specifically focusing on patients' clinical characteristics, extrication methods and scene times. A retrospective analysis was performed to identify all helicopter winch missions involving physicians during 2019. Demographic, clinical and non-clinical data were accessed from an electronic database used to log cases and findings presented using descriptive statistics. Out of 4356 HEMS missions involving physicians, 100 (2.3%) were winch operations. Of these, 31 (31%) occurred overwater and 12 (12%) at night. In total, 106 patients were attended, and eight patient deaths occurred. Most patients were traumatically injured (66%), male (66%) and had a median (interquartile range) age of 43.5 (28-59) years. Thirteen missions (13%) involved drowning victims. This group had a higher burden of injury and comprised half of the patients treated with endotracheal intubation. Median scene time was 30 min (20-40), and the winch stretcher was the predominant patient extrication method. Physician winching occurred in 63 (63%) missions and was associated with increased scene time and increased use of the winch stretcher. Winch operations involving physicians occur infrequently in Queensland HEMS, although almost a third of missions occur overwater. Drowning victims are encountered more frequently than reported elsewhere in Australian HEMS and comprised half of the patients who underwent endotracheal intubation. Patients' severity of illness and injury may contribute to the associations between winching of physicians, increased scene times and increased use of the winch stretcher.

Disparity in prehospital scene time for geriatric trauma patients

BackgroundGeriatric patients face disparities in prehospital trauma care. We hypothesized that geriatric trauma patients are more likely to experience prolonged prehospital scene time than younger adults. MethodsRetrospective analysis of the 2017 National Emergency Medical Services Information System. Patients who met anatomic or physiologic trauma criteria based on national triage guidelines were included (n = 16,356). Geriatric patients (age≥65, n = 3594) were compared to younger adults (age 18–64). The primary outcome was prolonged scene time (>10 min). Multivariable logistic regression was performed, controlling for patient demographics, on-scene treatments, and injury severity. ResultsGeriatric patients were more likely to experience prolonged scene time than younger adults after controlling for other factors (OR 1.78, 95% CI 1.57–2.04, p < 0.001). The likelihood of prolonged scene time reached OR 2.29 (95% CI 1.85–2.84) for patients age 70–79 and OR 2.66 (95% CI 2.07–3.42) for patients age 80–89, relative to age 18–29. ConclusionsGeriatric trauma patients are more likely than younger adults to have prolonged prehospital scene time. This disparity may be caused by delayed recognition of injury severity or age-related cognitive biases.

Association between Scene Time Interval and Survival in EMS-Treated Major Trauma Admitted to the Intensive Care Unit: A Multinational, Multicenter Observational Study

Objective: Major trauma is a major concern in public health and a leading cause of mortality worldwide. This study aimed to evaluate the association between the prehospital scene time interval (STI) and survival in emergency medical service (EMS)-assessed major trauma patients admitted to the intensive care unit (ICU). Methods: A retrospective observational study using the Pan-Asian Trauma Outcomes Study (PATOS) database was conducted. Adult trauma patients with injury severity scores (ISSs) greater than 15 who were admitted to the ICU were selected. EMS STIs were categorized into three groups: short (0–8 minutes), intermediate (9–16 minutes), and long (over 16 minutes). The primary outcome was survival to hospital discharge, and the secondary outcome was good neurological outcome at hospital discharge. Multivariable logistic regression analysis was conducted to calculate odds ratios and confidence intervals, adjusting for age, sex, mechanism of injury, prehospital alertness, prehospital shock index, response time interval, and EMS intervention (airway, oxygen supplementation, and intravenous fluid administration). Sensitivity analysis for patients who underwent surgery or nontraumatic brain injury cases and interaction analysis by EMS intervention were performed. Results: Data from a total of 1,874 eligible patients were analyzed. Intermediate and long STIs showed significant associations with outcomes, with adjusted ORs (95% CI) of 1.21 (1.07–1.38) in the intermediate STI group and 1.74 (1.55–1.96) in the long STI group for survival and 1.37 (1.32–1.40) in the intermediate STI group and 1.31 (1.22–1.41) in the long STI group for neurological outcome. In the sensitivity analysis, the highest ORs were found in the intermediate STI group, with adjusted ORs (95% CI) of 1.40 (1.37–1.42) for survival and 1.32 (1.26–1.38) for neurological outcome. In the interaction analysis, EMS intervention showed a positive interaction effect with an intermediate STI on survival. Conclusion: In EMS-assessed adult major trauma patients admitted to the ICU, we found significant associations between STIs longer than 8 minutes and outcomes. EMS intervention has a positive interaction effect with an intermediate STI on survival. More research is needed to understand the implications of practice for major trauma in the field.

EMS agencies with high rates of field termination of resuscitation and longer scene times also have high rates of survival

AimOut-of-hospital cardiac arrest (OOHCA) management dichotomizes strategies to (1) “scoop-and-run” to a higher level of care or (2) “treat on the X” with the goal of return of spontaneous circulation (ROSC) before transport, with field termination of resuscitation (FTOR) of unsuccessful resuscitations. We hypothesized that EMS agencies with greater average time on-scene and higher rates of field termination of resuscitation would have more favorable outcomes. MethodsThe Cardiac Arrest Registry to Enhance Survival (CARES) was used to identify OOHCA cases from 2013 to 2018. Agencies in the top and bottom quartiles of on-scene time were categorized as high (HiOST) and low (LoOST); in the top and bottom quartiles of field termination rate were categorized as high (HiTOR) and low (LoTOR). Generalized estimating equation models compared top and bottom quartiles. ResultsWe classified 95 agencies as HiOST (average > 25.1 min) or LoOST (average < 19.3 min). We classified 95 agencies as HiTOR (average > 46.5% FTOR) or LoTOR (average < 23.5% FTOR). Controlling for agency characteristics, HiOST had a higher survival to discharge for transported patients (28.1% vs 23.1%, OR = 2.8, 95 %CI 2.1–3.6, p < 0.001), ROSC on emergency department arrival, and favorable neurologic outcome than LoOST. HiTOR had a higher survival to discharge for transported patients (25.6% vs 19.3%, OR = 3.3, 95 %CI 2.5–4.4, p < 0.001), ROSC on emergency department arrival, and favorable neurologic outcome than LoTOR. ConclusionEMS agencies with higher rates of FTOR and longer on-scene times for patients with OOHCA have higher overall patient survival, ROSC, and favorable neurologic function.

Leveraging autoencoders in change vector analysis of optical satellite images

Various applications in remote sensing demand automatic detection of changes in optical satellite images of the same scene acquired over time. This paper investigates how to leverage autoencoders in change vector analysis, in order to better delineate possible changes in a couple of co-registered, optical satellite images. Let us consider both a primary image and a secondary image acquired over time in the same scene. First an autoencoder artificial neural network is trained on the primary image. Then the reconstruction of both images is restored via the trained autoencoder so that the spectral angle distance can be computed pixelwise on the reconstructed data vectors. Finally, a threshold algorithm is used to automatically separate the foreground changed pixels from the unchanged background. The assessment of the proposed method is performed in three couples of benchmark hyperspectral images using different criteria, such as overall accuracy, missed alarms and false alarms. In addition, the method supplies promising results in the analysis of a couple of multispectral images of the burned area in the Majella National Park (Italy).

‘As good as a chorus’: Hamlet’s Mousetrap in philosophy and psychoanalysis

ABSTRACT A great part of Hamlet’s mystery resides in the Mousetrap. Its role is fundamental for the tension of the play, yet its importance extends beyond that. Philosophers and psychoanalysts alike have been fascinated by it. The former have underlined its epistemological aspects and capacity for self-reflection: its power to mirror reality and reveal something new. The latter have placed weight on its ‘primal scene’ character and have underlined its failure to move Hamlet to act. Here I explore the paradox that results from putting philosophy and psychoanalysis together. To illustrate its functions, as well as the different readings of it, I delve into certain moments of the scene and Hamlet several times. Expanding on some remarks made by Lacan about the Mousetrap, I contend that it is a ‘rigging system’, a highly complex mise-en-abyme structure and intersubjective complex unfolded over successive layers. This explains the self-reflectivity discerned by philosophers. Following Benjamin and Lacan, and by means of a detour through Schmitt, I argue at the end that its failure needs to be situated in the historical moment when it was created – a world characterised by the lack of transcendent values – one in which art folds back upon itself infinitely.

Use of Time-to-Event Analysis to Develop On-Scene Return of Spontaneous Circulation Prediction for Out-of-Hospital Cardiac Arrest Patients

We aimed to train and validate the time to on-scene return of spontaneous circulation prediction models using time-to-event analysis among out-of-hospital cardiac arrest patients. Using a Korean population-based out-of-hospital cardiac arrest registry, we selected a total of 105,215 adults with presumed cardiac etiologies between 2013 and 2018. Patients from 2013 to 2017 and from 2018 were analyzed for training and test, respectively. We developed 4 time-to-event analyzing models (Cox proportional hazard [Cox], random survival forest, extreme gradient boosting survival, and DeepHit) and 4 classification models (logistic regression, random forest, extreme gradient boosting, and feedforward neural network). Patient characteristics and Utstein elements collected at the scene were used as predictors. Discrimination and calibration were evaluated by Harrell's C-index and integrated Brier score. Among the 105,215 patients (mean age 70 years and 64% men), 86,314 and 18,901 patients belonged to the training and test sets, respectively. On-scene return of spontaneous circulation was achieved in 5,240 (6.1%) patients in the former set and 1,709 (9.0%) patients in the latter. The proportion of emergency medical services (EMS) management was higher and scene time interval longer in the latter. Median time from EMS scene arrival to on-scene return of spontaneous circulation was 8 minutes for both datasets. Classification models showed similar discrimination and poor calibration power compared to survival models; Cox showed high discrimination with the best calibration (C-index [95% confidence interval]: 0.873 [0.865 to 0.882]; integrated Brier score at 30 minutes: 0.060). Incorporating time-to-event analysis could lead to improved performance in prediction models and contribute to personalized field EMS resuscitation decisions.

Pre-hospital emergency anaesthesia in trauma patients treated by anaesthesiologist and nurse anaesthetist staffed critical care teams.

BackgroundPre‐hospital tracheal intubation in trauma patients has recently been questioned. However, not only the trauma and patient characteristics but also airway provider competence differ between systems making simplified statements difficult.MethodThe study is a subgroup analysis of trauma patients included in the PHAST study. PHAST was a prospective, observational, multicentre study on pre‐hospital advanced airway management by anaesthesiologist and nurse anaesthetist manned pre‐hospital critical care teams in the Nordic countries May 2015‐November 2016. Endpoints include intubation success rate, complication rate (airway‐related complication according to Utstein Airway Template by Sollid et al), scene time (time from arrival of the critical care team to departure of the patient) and pre‐hospital mortality.ResultThe critical care teams intubated 385 trauma patients, of which 65 were in shock (SBP <90 mm Hg), during the study. Of the trauma patients, 93% suffered from blunt trauma, the mean GCS was 6 and 75% were intubated by an experienced provider who had performed >2500 tracheal intubations. The pre‐hospital tracheal intubation overall success rate was 98.6% and the complication rate was 13.6%, with no difference between patients with or without shock. The mean scene time was significantly shorter in trauma patients with shock (21.4 min) compared to without shock (21.4 vs 25.1 min). Following pre‐hospital tracheal intubation, 97% of trauma patients without shock and 91% of the patients in shock with measurable blood pressure were alive upon arrival to the ED.ConclusionPre‐hospital tracheal intubation success and complication rates in trauma patients were comparable with in‐hospital rates in a system with very experienced airway providers. Whether the short scene times contributed to a low pre‐hospital mortality needs further investigation in future studies.

A Data-driven Approach for Charging Characteristic Parameter Identification Method of Electric Vehicles

In order to accurately identify new energy electric vehicles charging behaviour characteristic parameter, the theory of consistency is put forward based on the k-means clustering method. The complex coupling network including consistency control is introduced into the data clustering analysis to accurately describe the consistency characteristics of the electric vehicles charging load data in different periods, and the dissimilarity measure with the state update of the adjacent cluster data is used to quickly calculate the initial cluster center. The k-means method is used to quickly identify the expected value of EV initial charging time in typical scenes, and to accurately extract the probability distribution function of EV charging probability and charging initial time. Combined with a practical case, it is verified that the proposed method has the advantages of simple calculation, fast clustering.

Prehospital time of suspected stroke patients treated by emergency medical service: a nationwide study in Thailand

BackgroundThis work was to study the prehospital time among suspected stroke patients who were transported by an emergency medical service (EMS) system using a national database.MethodsNational EMS database of suspected stroke patients who were treated by EMS system across 77 provinces of Thailand between January 1, 2015, and December 31, 2018, was retrospectively analyzed. Demographic data (i.e., regions, shifts, levels of ambulance, and distance to the scene) and prehospital time (i.e., dispatch, activation, response, scene, and transportation time) were extracted. Time parameters were also categorized according to the guidelines.ResultsTotal 53,536 subjects were included in the analysis. Most of the subjects were transported during 06.00-18.00 (77.5%) and were 10 km from the ambulance parking (80.2%). Half of the subjects (50.1%) were served by advanced life support (ALS) ambulance. Median total time was 29 min (IQR 21, 39). There was a significant difference of median total time among ALS (30 min), basic (27 min), and first responder (28 min) ambulances, Holm P = 0.009. Although 91.7% and 88.3% of the subjects had dispatch time ≤ 1 min and activation time ≤ 2 min, only 48.3% had RT ≤ 8 min. However, 95% of the services were at the scene ≤ 15 min.ConclusionPrehospital time from EMS call to hospital was approximately 30 min which was mainly utilized for traveling from the ambulance parking to the scene and transporting patients from the scene to hospitals. Even though only 48% of the services had RT ≤ 8 min, 95% of them had the scene time ≤ 15 min.

MTG: Context-Based Music Composition for Tabletop Role-Playing Games

This project aims to compose background music in real-time for tabletop role-playing games. To accomplish this goal, we propose a system called MTG that listens to players' speeches in order to recognize the context of the current scene and generate background music to match the scene. A speech recognition system is used to transcribe players' speeches to text and a supervised learning algorithm detects when scene transitions take place. In its current version, a scene transition occurs whenever the emotional state of the narrative changes. Moreover, the background music is not generated, but selected based on its emotion from a library of hand-authored pieces. As future work, we plan to generate the background music considering the current scene context and the probability of scene transition. We also consider to retrieve more information from the narrative to detect scene transitions, such as the scene's location and time of the day as well as actions taken by characters.

Epidemiology and outcomes from severe hypoglycemia in Kuwait: a prospective cohort study

BackgroundThe objective of this study was to describe the epidemiology of severe hypoglycaemia in Kuwait, aiming to provide a preliminary background to update the current guidelines and improve patient management.MethodThis was a prospective analysis of severe hypoglycaemia cases retrieved from emergency medical services (EMS) archived data between 1 January and 30 June 2020. The severe hypoglycaemia cases were then sub-grouped based on EMS personal initial management and compared in terms of scene time, transportation rate, complications and outcomes. The primary outcomes were GCS within 10–30 min and normal random blood glucose (RBS) within 10–30 min.ResultsA total of 167 cases met the inclusion criteria. The incidence of severe hypoglycaemia in the national EMS was 11 per 100,000. Intramuscular glucagon was used on scene in 89% of the hypoglycaemic events. Most of the severe hypoglycaemia patients regained normal GCS on scene (76.5%). When we compared the two scene management strategies for severe hypoglycaemia cases, parenteral glucose administration prolonged the on-scene time (P = .002) but was associated with more favourable scene outcomes than intramuscular glucagon, with normal GCS within 10–30 min (P = .05) and normal RBS within 10–30 min (P = .006). Conclusion: Severe hypoglycaemia is not uncommon during EMS calls. Appropriate management by EMS personals is fruitful, resulting in favourable scene outcomes and reducing the hospital transportation rate. More research should be invested in improving and structuring the prehospital management of severe hypoglycaemia. One goal is to clarify the superiority of parenteral glucose over intramuscular glucagon in the prehospital setting.

Physician-staffed ambulance and increased in-hospital mortality of hypotensive trauma patients following prolonged prehospital stay: A nationwide study.

The benefits of physician-staffed emergency medical services (EMS) for trauma patients remain unclear because of the conflicting results on survival. Some studies suggested potential delays in definitive hemostasis due to prolonged prehospital stay when physicians are dispatched to the scene. We examined hypotensive trauma patients who were transported by ambulance, with the hypothesis that physician-staffed ambulances would be associated with increased in-hospital mortality, compared with EMS personnel-staffed ambulances. A retrospective cohort study that included hypotensive trauma patients (systolic blood pressure ≤ 90 mm Hg at the scene) transported by ambulance was conducted using the Japan Trauma Data Bank (2004-2019). Physician-staffed ambulances are capable of resuscitative procedures, such as thoracotomy and surgical airway management, while EMS personnel-staffed ambulances could only provide advanced life support. In-hospital mortality and prehospital time until the hospital arrival were compared between patients who were classified based on the type of ambulance. Inverse probability weighting was conducted to adjust baseline characteristics including age, sex, comorbidities, mechanism of injury, vital signs at the scene, injury severity, and ambulance dispatch time. Among 14,652 patients eligible for the study, 738 were transported by a physician-staffed ambulance. In-hospital mortality was higher in the physician-staffed ambulance than in the EMS personnel-staffed ambulance (201/699 [28.8%] vs. 2287/13,090 [17.5%]; odds ratio, 1.90 [1.61-2.26]; adjusted odds ratio, 1.22 [1.14-1.30]; p < 0.01), and the physician-staffed ambulance showed longer prehospital time (50 [36-66] vs. 37 [29-48] min, difference = 12 [11-12] min, p < 0.01). Such potential harm of the physician-staffed ambulance was only observed among patients who arrived at the hospital with persistent hypotension (systolic blood pressure < 90 mm Hg on hospital arrival) in subgroup analyses. Physician-staffed ambulances were associated with prolonged prehospital stay and increased in-hospital mortality among hypotensive trauma patients compared with EMS personnel-staffed ambulance. Therapeutic, level IV.

Factors Associated with Emergency Medical Service Reattendance in Low Acuity Patients Not Transported by Ambulance

Background: The decision for emergency medical services (EMS) personnel not to transport a patient is challenging: there is a risk of subsequent deterioration but transportation of all patients to hospital would overburden emergency departments. The aim of this large-scale EMS study was to identify factors associated with an increased likelihood of ambulance reattendance within 48 hours in low acuity patients who were not transported by ambulance. Methods: We conducted a 2-year retrospective cohort study using data from the St John New Zealand EMS between 1 July 2016 and 30 June 2018 to investigate demographic and clinical associations with ambulance reattendance. Results: In total, 83,171 low acuity patients not transported by ambulance were included, of whom 4,512 (5.4%) had an EMS ambulance reattend within 48 hours. There were significant associations between EMS reattendance and patient age, sex, ethnicity, deprivation, and event location. Patients aged 60-74 years old had the highest likelihood of ambulance recall (OR 2.87, 95% CI: 2.51-3.28). Males were more likely to have an EMS ambulance reattend within 48 hours (OR 1.17, 95% CI: 1.09-1.25). Māori and Pacific Peoples had a similar likelihood of EMS recall to European/Others; however, the Asian cohort showed a reduced likelihood of reattendance (OR 0.76, 95% CI: 0.62-0.93). There were significant associations between EMS reattendance and non-transport reason, time spent on scene, event type, clinical acuity level (status), and pain score. Shorter (<30 minutes) on scene times were associated with a decreased likelihood of ambulance reattendance, whereas longer scene times (>45 minutes) were associated with an increased likelihood. Medical events were more likely to require reattendance than accident-related events (OR 1.22, 95% CI: 1.13-1.32). Non-transported patients with a severe pain score (7-10/10) were at increased likelihood of requiring reattendance (OR 1.60, 95% CI: 1.33-1.92). Discussion: The overall low rate of EMS reattendance is encouraging. Further research is needed into the clinical presentation of patients requiring ambulance reattendance within 48 hours to determine if there are early warning signs indicative of subsequent deterioration.

Spatial-time analysis of cardiovascular emergency medical requests: enlightening policy and practice

BackgroundResponse time to cardiovascular emergency medical requests is an important indicator in reducing cardiovascular disease (CVD) -related mortality. This study aimed to visualize the spatial-time distribution of response time, scene time, and call-to-hospital time of these emergency requests. We also identified patterns of clusters of CVD-related calls.MethodsThis cross-sectional study was conducted in Mashhad, north-eastern Iran, between August 2017 and December 2019. The response time to every CVD-related emergency medical request call was computed using spatial and classical statistical analyses. The Anselin Local Moran’s I was performed to identify potential clusters in the patterns of CVD-related calls, response time, call-to-hospital arrival time, and scene-to-hospital arrival time at small area level (neighborhood level) in Mashhad, Iran.ResultsThere were 84,239 CVD-related emergency request calls, 61.64% of which resulted in the transport of patients to clinical centers by EMS, while 2.62% of callers (a total of 2218 persons) died before EMS arrival. The number of CVD-related emergency calls increased by almost 7% between 2017 and 2018, and by 19% between 2017 and 2019. The peak time for calls was between 9 p.m. and 1 a.m., and the lowest number of calls were recorded between 3 a.m. and 9 a.m. Saturday was the busiest day of the week in terms of call volume. There were statistically significant clusters in the pattern of CVD-related calls in the south-eastern region of Mashhad. Further, we found a large spatial variation in scene-to-hospital arrival time and call-to-hospital arrival time in the area under study.ConclusionThe use of geographical information systems and spatial analyses in modelling and quantifying EMS response time provides a new vein of knowledge for decision makers in emergency services management. Spatial as well as temporal clustering of EMS calls were present in the study area. The reasons for clustering of unfavorable time indices for EMS response requires further exploration. This approach enables policymakers to design tailored interventions to improve response time and reduce CVD-related mortality.