Prehospital Delta Shock Index Predicts Mortality and Need for Life Saving Interventions in Trauma Patients.

OBJECTIVES: The delta shock index (ΔSI), defined as the change in shock index (SI) over time, is associated with hospital morbidity and mortality, but prehospital studies about ΔSI are limited. We investigate the association of prehospital ΔSI with mortality and resource utilization, hypothesizing that increases in SI among field trauma patients are associated with increased mortality and blood product transfusion. METHODS: We performed a multicenter, retrospective, observational study from the Linking Investigators in Trauma and Emergency Services (LITES) network. We obtained data from January 2017 to June 2021. We fit logistic regression models to evaluate the association between an increase ΔSI > 0.1 and 28-day mortality and blood product transfusion within 4 hours of emergency department (ED) arrival. We used negative binomial models to evaluate the association between ΔSI > 0.1 and days in hospital, intensive care unit (ICU), and on ventilator (up to 28 days). RESULTS: We identified 33,219 prehospital patients. We excluded burn patients and those without documented prehospital or ED heart rate or blood pressure, resulting in 30,511 cases for analysis. In adjusted analysis for the primary outcome of 28-day mortality, patients who had a ΔSI > 0.1 based on initial vital signs were 31% more likely to die (adjusted odds ratio (AOR) of 1.31, 95% CI 1.21-1.41) compared to those patients who had a ΔSI ≤0.1. These patients also spent 16% more days in hospital (adjusted incident rate ratio (AIRR) 1.16, 95% CI 1.14-1.19), 34% more days in ICU (AIRR 1.34, 95% CI 1.28-1.41), and 61% more days on ventilator (ARR 1.61, 95% CI 1.47-1.75). Additionally, patients with a ΔSI > 0.1 had higher odds of receiving blood products (AOR 2.00, 95% CI 1.88-2.12) within 4 hours of ED arrival. Models fit excluding hypotensive patients performed similarly. CONCLUSIONS: An increase of greater than 0.1 in the ΔSI was associated with increased 28-day mortality; increased days in hospital, in ICU, and on ventilator; and increased need for blood product transfusion within 4 hours of ED arrival. This association held true for initially normotensive patients. Validation and implementation are needed to incorporate ΔSI into prehospital and ED triage.

2024 Systematic Review of Evidence-Based Guidelines for Prehospital Care.

OBJECTIVES: Evidence-based guidelines (EBGs) are widely recognized as valuable tools to aggregate and translate scientific knowledge into clinical care. High-quality EBGs can also serve as important components of dissemination and implementation efforts focused on educating emergency medical services (EMS) clinicians about current evidence-based prehospital clinical care practices and operations. We aimed to perform the third biennial systematic review of prehospital EBGs to identify and assess the quality of prehospital EBGs published since 2021. METHODS: We systematically searched Ovid Medline and EMBASE from January 1, 2021, to June 6, 2023, for publications relevant to prehospital care, based on an organized review of the literature, and focused on providing recommendations for clinical care or operations. Included guidelines were appraised using the National Academy of Medicine (NAM) criteria for high-quality guidelines and scored using the Appraisal of Guidelines for Research and Evaluation (AGREE) II Tool. RESULTS: We identified 33 new guidelines addressing clinical and operational topics of EMS medicine. The most addressed EMS core content areas were time-life critical conditions (n = 17, 51.5%), special clinical considerations (n = 15, 45%), and injury (n = 12, 36%). Seven (21%) guidelines included all elements of the National Academy of Medicine (NAM) criteria for high-quality guidelines, including the full reporting of a systematic review of the evidence. Guideline appraisals by the Appraisal of Guidelines for Research and Evaluation (AGREE) II tool demonstrated modest compliance to reporting recommendations and similar overall quality compared to previously identified guidelines (mean overall domain score 67%, SD 12%), with Domain 5 ("Applicability") scoring the lowest of the six AGREE II domains (mean score of 53%, SD 13%). CONCLUSIONS: This updated systematic review identified and appraised recent guidelines addressing prehospital care and identifies important targets for education of EMS personnel. Continued opportunities exist for prehospital guideline developers to include comprehensive evidence-based reporting into guideline development to facilitate widespread implementation of high-quality EBGs in EMS systems and incorporate the best available scientific evidence into initial education and continued competency activities.

Comparison of Neighborhood Disadvantage Indices on Emergency Medical Services Interventions and Outcomes for Pediatric Out-of-Hospital Emergencies.

OBJECTIVE: Measures of neighborhood disadvantage demonstrate correlations to health outcomes in children. We compared differing indices of neighborhood disadvantage with emergency medical services (EMS) interventions in children. METHODS: We performed a retrospective study of EMS encounters for children (<18 years) from approximately 2000 US EMS agencies between 2021 and 2022. Our exposures were the Child Opportunity Index (COI; v2.0), 2021 Area Deprivation Index (ADI), and 2018 Social Vulnerability Index (SVI). We evaluated the agreement in how children were classified with each index using the intraclass correlation coefficient. We used logistic regression to evaluate the association of each index with transport status, presence of cardiac arrest, and condition-specific interventions and assessments. RESULTS: We included 738,892 encounters. The correlation between the indices indicated good agreement (intraclass correlation coefficient=0.75). There was overlap in relationships between the COI, ADI, and SVI for each of the study outcomes, both when visualized as a splined predictor and when using representative odds ratios (OR) comparing the third quartile of each index to the lower quartile (most disadvantaged). For example, the OR of non-transport was 1.12 (95% confidence interval [CI]: 1.10-1.14) for COI, 1.18 (95% CI: 1.16-1.20) for ADI, and 1.22 (95% CI: 1.20-1.23) for SVI. CONCLUSION: The COI, ADI, and SVI had good correlation and demonstrated similar effect size estimates for a variety of clinical outcomes. While investigators should consider potential causal pathways for outcomes when selecting an index for neighborhood disadvantage, the relative strength of association between each index and all outcomes was similar.

Mapping Glasgow Coma scale to AVPU scores among adults in the prehospital setting.

OBJECTIVE: To develop a translation between the Glasgow Come Scale and the Alert-Verbal-Pain-Unresponsive (AVPU) scale among adults with out-of-hospital emergencies. METHODS: We performed a retrospective analysis of adults (≥18 years) from the 2022 National Emergency Medical Services (EMS) Information System with a ground scene encounter with a concurrently documented GCS and AVPU assessment. Using a training partition of 2.5 million encounters, we performed a grid search to identify all combinations of mutually exclusive cutpoints which divided the GCS into four segments. We identified the combination with the highest Kappa statistic and reported metrics of performance in this sample in the test partition. RESULTS: We identified 16,321,299 encounters with a concurrent AVPU and GCS. Using the AVPU scale, 93.3 % were classified as Alert; 2.9 % as Verbal; 1.5 % as Pain; and 2.3 % as Unresponsive. Using a grid-based search, optimal cutpoints were identified when using a GCS of 14-15 for Alert, 10-13 for Verbal, 7-9 for Pain, and 3-6 for Unresponsive. Cohen's Kappa was 0.63 in the test partition, indicating substantial agreement. Intraclass F1 score varied across different alertness levels and were 0.97 for "Alert", 0.43 for "Verbal", 0.49 for "Pain", and 0.83 for "Unresponsive". Findings were similar in analyses performed by age group and by the presence or absence of trauma. CONCLUSION: We report an optimal crosswalk between the AVPU and GCS scales. Performance in the Verbal and Pain categories was lower than the Alert and Unresponsive categories. These findings may facilitate clinician handovers between EMS and non-EMS clinicians.

Acquisition of Prehospital Stroke Severity Scale is associated with shorter door-to-puncture times in patients with prehospital notifications transported directly to a thrombectomy center.

BACKGROUND: We sought to identify systemic factors influencing door-to-puncture times (DTP) among patients with pre-arrival notifications presenting directly to a comprehensive stroke center (CSC) and undergoing emergent mechanical thrombectomy (MT). METHODS: In this retrospective analysis of a prospectively maintained registry of acute ischemic stroke (AIS) patients undergoing MT at two CSCs between January 2021 and October 2023, we included consecutive AIS patients presenting directly to the CSC with pre-arrival notifications via emergency medical services (EMS) and who underwent emergent MT. We excluded patients with known confounders to DTP and divided this cohort into two groups: DTP ≤75 min and >75 min. We used variables with P value <0.2 in the univariate analysis to build a binary logistic regression model to identify their association with DTP >75 min, adjusting for door-to-CT time. RESULTS: Of 900 patients, 605 were inter-facility transfers, 89 were excluded due to known confounders/missing prehospital notifications, leaving 206 qualifying patients. On multivariable analysis, not meeting American Heart Association (AHA) level 1 criteria (adjusted OR (aOR) 3.04, 95% CI 1.62 to 5.82, P<0.001), lack of Prehospital Stroke Severity Scale (PSSS) acquisition (aOR 2.2, 95% CI 1.19 to 4.11, P=0.01), and presentation after-hours (aOR 2.27, 95% CI 1.23 to 4.28, P=0.01) were associated with >75 min DTP times. Most patients (62.3%) had no clearly documented reasons for delay in MT, whereas 25.8% of delays were attributed to prolonged medical decision-making. CONCLUSION: Arrival outside business hours, not meeting AHA level 1 criteria, and lack of PSSS acquisition by EMS were associated with prolonged DTP. Impacting modifiable factors such as prehospital assessment of stroke severity is an optimal target for quality improvement.

Clinical usability of deep learning-based saliency maps for occlusion myocardial infarction identification from the prehospital 12-Lead electrocardiogram.

INTRODUCTION: Deep learning (DL) models offer improved performance in electrocardiogram (ECG)-based classification over rule-based methods. However, for widespread adoption by clinicians, explainability methods, like saliency maps, are essential. METHODS: On a subset of 100 ECGs from patients with chest pain, we generated saliency maps using a previously validated convolutional neural network for occlusion myocardial infarction (OMI) classification. Three clinicians reviewed ECG-saliency map dyads, first assessing the likelihood of OMI from standard ECGs and then evaluating clinical relevance and helpfulness of the saliency maps, as well as their confidence in the model's predictions. Questions were answered on a Likert scale ranging from +3 (most useful/relevant) to -3 (least useful/relevant). RESULTS: The adjudicated accuracy of the three clinicians matched the DL model when considering area under the receiver operating characteristics curve (AUC) and F1 score (AUC 0.855 vs. 0.872, F1 score = 0.789 vs. 0.747). On average, clinicians found saliency maps slightly clinically relevant (0.96 ± 0.92) and slightly helpful (0.66 ± 0.98) in identifying or ruling out OMI but had higher confidence in the model's predictions (1.71 ± 0.56). Clinicians noted that leads I and aVL were often emphasized, even when obvious ST changes were present in other leads. CONCLUSION: In this clinical usability study, clinicians deemed saliency maps somewhat helpful in enhancing explainability of DL-based ECG models. The spatial convolutional layers across the 12 leads in these models appear to contribute to the discrepancy between ECG segments considered most relevant by clinicians and segments that drove DL model predictions.

Establishing thresholds for shock index in children to identify major trauma.

BACKGROUND: An abnormal shock index (SI) is associated with greater injury severity among children with trauma. We sought to empirically-derive age-adjusted SI cutpoints associated with major trauma in children, and to compare the accuracy of these cutpoints to existing criteria for pediatric SI. METHODS: We performed a retrospective cohort study using the 2021 National Trauma Data Bank (NTDB) Participant Use File. We included injured children (<18 years), excluding patients with traumatic arrests, mechanical ventilation upon hospital presentation, and inter-facility transfers. Our outcome was major trauma defined by the standardized triage assessment tool (STAT) criteria. Our exposure of interest was the SI. We empirically-derived upper and lower cutpoints for the SI using age-adjusted Z-scores. We compared the performance of these to the SI, pediatric-adjusted (SIPA), and the Pediatric SI (PSI). We validated the performance of the cutpoints in the 2019 NTDB. RESULTS: We included 64,326 and 64,316 children in the derivation and validation samples, of whom 4.9 % (derivation) and 4.0 % (validation) experienced major trauma. The empirically-derived age-adjusted SI cutpoints had a sensitivity of 43.2 % and a specificity of 79.4 % for major trauma in the validation sample. The sensitivity of the PSI for major trauma was 33.9 %, with a specificity of 90.7 % among children 1-17 years of age. The sensitivity of the SIPA was 37.4 %, with a specificity of 87.8 % among children 4-16 years of age. Evaluated using logistic regression, patients with an elevated age-adjusted SI had 3.97 greater odds (95 % confidence interval [CI] 3.63-4.33) of major trauma compared to those with a normal age-adjusted SI. Patients with a depressed SI had 1.55 greater odds (95 % CI 1.36-1.78) of major trauma. The area under the receiver operator characteristic curve (AUROC) for the empirically-derived model (0.62, 95 % CI 0.61-0.63) was similar to the AUROC for PSI (0.62, 95 % CI 0.61-0.63); both of which were greater than the SIPA model (0.58, 95 % CI 0.57-0.59). CONCLUSION: Age-adjusted SI cutpoints demonstrated a mild gain in sensitivity compared to existing measures. However, our findings suggest that the SI alone has a limited role in the identification of major trauma in children.

Comparing AVPU and Glasgow Coma Scales Among Children Seen by Emergency Medical Services.

OBJECTIVES: Consciousness assessment is an important component in the prehospital care of ill or injured children. Both the Glasgow Coma Scale (GCS) and the Alert, Verbal, Pain, Unresponsive (AVPU) scale are used for this purpose. We sought to identify cut points for the GCS to correspond to the AVPU scale for pediatric emergency medical services (EMS) encounters. METHODS: We conducted a retrospective cross-sectional analysis using the 2019-2022 National EMS Information System data set, including children (<18 years) with a GCS and AVPU score. We evaluated several approaches to develop cut points for the GCS within the AVPU scale and reported measures of performance. RESULTS: Of 6 186 663 pediatric encounters, 4 311 598 with both GCS and AVPU documentation were included (median age was 10 years [interquartile range 3-15]; 50.9% boys). Lower AVPU scores correlated with life-sustaining procedures, including those for airway management, seizure, and cardiac arrest. Optimal GCS cut points obtained via a grid-based search were 14 to 15 for alert, 11 to 13 for verbal, 7 to 10 for pain, and 3 to 6 for unresponsive. Overall accuracy was 0.95, with kappa of 0.61. Intraclass F1 statistics were lower for verbal (0.37) and pain (0.50) categories compared with alert (0.98) and unresponsive (0.78). CONCLUSIONS: We developed a cross-walking between the AVPU and GCS scales. Overall performance was high, though performance within the verbal and pain categories was lower. These findings can be useful to enhance clinician handovers and to aid in the development of EMS-based prediction models.

Mapping Prehospital Clinician Impression to Hospital-Based Diagnoses in Children Transported to the Hospital by Emergency Medical Services.

OBJECTIVES: Emergency medical services (EMS) serves a critical role in the delivery of services to children with out-of-hospital emergencies. The EMS clinicians' initial field diagnoses, termed "impressions," facilitate focused patient assessments, guide the application of prehospital treatment protocols, and help determine transport destination. We sought to evaluate the concordance of the EMS clinician impression to a child's hospital-based diagnosis. METHODS: We retrospectively studied de-identified pediatric (<18 years old) scene runs transported to the hospital and with available linked hospital data from the 2021 ESO Data Collaborative, a multi-agency prehospital electronic health record dataset. EMS impressions and primary emergency department or admission-based diagnoses were categorized into one of twenty-one major groups in the Diagnosis Grouping System. We identified the most common hospital-based discharge diagnoses and evaluated for the agreement between EMS impression and hospital-based diagnosis using Cohen's Kappa statistic. RESULTS: We included 35,833 pediatric transports from the scene with linked prehospital and in-hospital data (median age 11 years, interquartile range, 3-15 years; 50.9% male). The most common categories for both EMS impressions and hospital-based diagnoses were as follows respectively: trauma (26.1%; 24.6%), neurologic diseases (18.9%; 16.4%), psychiatric and behavioral diseases and substance use disorder (11.8%; 11.6%), and respiratory diseases (11.1% and 9.5%). A total of 23,224 out of 35,833 patients, or 64.8%, had concordant EMS impressions and hospital-based diagnoses. There was high agreement between common EMS impression and in-hospital diagnoses (trauma 77.3%; neurologic diseases 70.3%; respiratory diseases 64.5%; and psychiatric, behavioral disease and substance use disorder 73.9%). Hospital-based diagnoses demonstrated moderate concordance with prehospital data (Cohen's κ = 0.59). CONCLUSIONS: We found moderate concordance between EMS primary impression and hospital diagnoses. The EMS encounter is brief and without capabilities of advanced testing, but initial impressions may influence the basis of the triage assignment and interventions during the hospital-based encounter. By evaluating EMS impressions and ultimate hospital diagnoses, pediatric protocols may be streamlined, and specific training emphasized in pursuit of improving patient outcomes. Future work is needed to examine instances of discordance and evaluate the impact on patient care and outcomes.

Pediatric Vital Signs Documentation in a Nationally Representative US Emergency Department Sample.

OBJECTIVES: Vital sign measurement and interpretation are essential components of assessment in the emergency department. We sought to assess the completeness of vital signs documentation (defined as a temperature, heart rate, respiratory rate, blood pressure, and oxygen saturation) in a nationally representative sample of children presenting to the emergency department, characterize abnormal vital signs using pediatric advanced life support (PALS) criteria, and evaluate their association with hospitalization or transfer. METHODS: We conducted a retrospective, cross-sectional study using the 2016-2021 National Hospital Ambulatory Medical Care Survey. We evaluated the proportion of children (aged ≤15 years) with complete vital signs and identified characteristics associated with complete vital signs documentation. We assessed the proportion of children having abnormal vital signs when using PALS criteria. RESULTS: We included 162.7 million survey-weighted pediatric encounters. Complete vital signs documentation was present in 50.8% of encounters. Older age and patient acuity were associated with vital signs documentation. Abnormal vital signs were documented in 73.0% of encounters with complete vital signs and were associated with younger age and hospitalization or transfer. Abnormal vital signs were associated with increased odds of hospitalization or transfer (odds ratio 1.51, 95% confidence interval 1.11-2.04). Elevated heart rate and respiratory rate were associated with hospitalization or transfer. CONCLUSIONS: A low proportion of children have documentation of complete vital signs, highlighting areas in need of improvement to better align with pediatric readiness quality initiatives. A high proportion of children had abnormal vital signs using PALS criteria. Few abnormalities were associated with hospitalization or transfer.

Identifying trigger cues for hospital blood transfusions based on ensemble of machine learning methods.

BACKGROUND: Traumatic shock is the leading cause of preventable death with most patients dying within the first six hours from arriving to the hospital. This underscores the importance of prehospital interventions, and growing evidence suggests prehospital transfusion improves survival. Optimizing transfusion triggers in the prehospital setting is key to improving outcomes for patients in hemorrhagic shock. Our objective was to identify factors associated with early in-hospital transfusion requirements available to prehospital clinicians in the field to develop a simple algorithm for prehospital transfusion, particularly for patients with occult shock. METHODS: We included trauma patients transported by a single critical care transport service to a level I trauma center between 2012 and 2019. We used logistic regression, Fast and Frugal Trees (FFTs), and Bayesian analysis to identify factors associated with early in-hospital blood transfusion as a potential trigger for prehospital transfusion. RESULTS: We included 2,157 patients transported from the scene or emergency department (ED) of whom 207 (9.60%) required blood transfusion within four hours of admission. The mean age was 47 (IQR = 28 - 62) and 1,480 (68.6%) patients were male. From 13 clinically relevant factors for early hospital transfusions, four were incorporated into the FFT in following order: 1) SBP, 2) prehospital lactate concentration, 3) Shock Index, 4) AIS of chest (sensitivity = 0.81, specificity = 0.71). The chosen thresholds were similar to conventional ones. Using conventional thresholds resulted in lower model sensitivity. Consistently, prehospital lactate was among most decisive factors of hospital transfusions identified by Bayesian analysis (OR = 2.31; 95% CI 1.55 - 3.37). CONCLUSIONS: Using an ensemble of frequentist statistics, Bayesian analysis and machine learning, we developed a simple, clinically relevant prehospital algorithm to help identify patients requiring transfusion within 4 h of hospital arrival.

Centiles for the shock index among injured children in the prehospital setting.

OBJECTIVE: The shock index (SI), the ratio of heart rate to systolic blood pressure, is a clinical tool for assessing injury severity. Age-adjusted SI models may improve predictive value for injured children in the out-of-hospital setting. We sought to characterize the proportion of children in the prehospital setting with an abnormal SI using established criteria, describe the age-based distribution of SI among injured children, and determine prehospital interventions by SI. METHODS: We performed a multi-agency retrospective cross-sectional study of children (<18 years) in the prehospital setting with a scene encounter for suspected trauma and transported to the hospital between 2018 and 2022 using the National Emergency Medical Services (EMS) Information System datasets. Our exposure of interest was the first calculated SI. We identified the proportion of children with an abnormal SI when using the SI, pediatric age-adjusted (SIPA); and the pediatric SI (PSI) criteria. We developed and internally validated an age-based distributional model for the SI using generalized additive models for location, scale, and shape to describe the age-based distribution of the SI as a centile or Z-score. We evaluated EMS interventions (basic airway interventions, advanced airway interventions, cardiac interventions, vascular access, intravenous fluids, and vasopressor use) in relation to both the SIPA, PSI, and distributional SI values. RESULTS: We analyzed 1,007,863 pediatric EMS trauma encounters (55.0% male, median age 13 years [IQR, 8-16 years]). The most common dispatch complaint was for traffic/transport related injury (32.9%). When using the PSI and SIPA, 13.1% and 16.3% were classified as having an abnormal SI, respectively. There were broad differences in the percentage of encounters classified as having an abnormal SI across the age range, varying from 5.1 to 22.8% for SIPA and 3.7-20.1% for PSI. The SIPA values ranged from the 75th to 95th centiles, while the PSI corresponded to an SI greater than the 90th centile, except in older children. The centile distribution for SI declined during early childhood and stabilized during adolescence and demonstrated a difference of <0.1% at cutoff values. An abnormal PSI, SIPA and higher SI centiles (>90th centile and >95th centiles) were associated with interventions related to basic and advanced airway management, cardiac procedures, vascular access, and provision of intravenous fluids occurred with greater frequency at higher SI centiles. Some procedures, including airway management and vascular access, had a smaller peak at lower (<10th) centiles. DISCUSSION: We describe the empiric distribution of the pediatric SI across the age range, which may overcome limitations of extant criteria in identifying patients with shock in the prehospital setting. Both high and low SI values were associated with important, potentially lifesaving EMS interventions. Future work may allow for more precise identification of children with significant injury using cutpoint analysis paired to outcome-based criteria. These may additionally be combined with other physiologic and mechanistic criteria to assist in triage decisions.

Association of midazolam route of administration and need for recurrent dosing among children with seizures cared for by emergency medical services.

OBJECTIVE: National guidelines in the United States recommend the intramuscular and intranasal routes for midazolam for the management of seizures in the prehospital setting. We evaluated the association of route of midazolam administration with the use of additional benzodiazepine doses for children with seizures cared for by emergency medical services (EMS). METHODS: We conducted a retrospective cohort study from a US multiagency EMS dataset for the years 2018-2022, including children transported to the hospital with a clinician impression of seizures, convulsions, or status epilepticus, and who received an initial correct weight-based dose of midazolam (.2 mg/kg intramuscular, .1 mg/kg intravenous, .2 mg/kg intranasal). We evaluated the association of route of initial midazolam administration with provision of additional benzodiazepine dose in logistic regression models adjusted for age, vital signs, pulse oximetry, level of consciousness, and time spent with the patient. RESULTS: We included 2923 encounters with patients who received an appropriate weight-based dose of midazolam for seizures (46.3% intramuscular, 21.8% intranasal, 31.9% intravenous). The median time to the first dose of midazolam from EMS arrival was similar between children who received intramuscular (7.3 min, interquartile range [IQR] = 4.6-12.5) and intranasal midazolam (7.8 min, IQR = 4.5-13.4) and longer for intravenous midazolam (13.1 min, IQR = 8.2-19.4). At least one additional dose of midazolam was given to 21.4%. In multivariable models, intranasal midazolam was associated with higher odds (odds ratio [OR] = 1.39, 95% confidence interval [CI] = 1.10-1.76) and intravenous midazolam was associated with similar odds (OR = 1.00, 95% CI = .80-1.26) of requiring additional doses of benzodiazepines relative to intramuscular midazolam. SIGNIFICANCE: Intranasal midazolam was associated with greater odds of repeated benzodiazepine dosing relative to initial intramuscular administration, but confounding factors could have affected this finding. Further study of the dosing and/or the prioritization of the intranasal route for pediatric seizures by EMS clinicians is warranted.

The association of prehospital systemic corticosteroids with emergency department and in-hospital outcomes for patients with asthma exacerbations.

BACKGROUND: Timely administration of systemic corticosteroids is a cornerstone of asthma exacerbation treatment, yet little is known regarding potential benefits of prehospital administration by emergency medical services (EMS) clinicians. We examined factors associated with prehospital corticosteroid administration with hospitalization and hospital length of stay (LOS). METHODS: We performed a retrospective study of EMS encounters for patients 2-50 years of age with suspected asthma exacerbation from a national data set. We evaluated factors associated with systemic corticosteroid administration using generalized estimating equations. We performed propensity matching based on service level, age, encounter duration, vital signs, and treatments to evaluate the association of prehospital corticosteroid administration with hospitalization and LOS using weighted logistic regression. We evaluated the association of prehospital corticosteroid administration with admission using Bayesian models. RESULTS: Of 15,834 encounters, 4731 (29.9%) received prehospital systemic corticosteroids. Administration of corticosteroids was associated with older age; sex; urbanicity; advanced life support provider; vital sign instability; increasing doses of albuterol; and provision of ipratropium bromide, magnesium, epinephrine, and supplementary oxygen. Within the matched sample, prehospital corticosteroids were not associated with hospitalization (odds ratio [OR] 0.86, 95% confidence interval [CI] 0.73-1.01) or LOS (multiplier 0.76, 95% CI 0.56-1.05). Administration of corticosteroids was associated with lower odds of admission and shorter LOS in longer EMS encounters (>34 min), lower admission odds in patients with documented wheezing, and shorter LOS among patients treated with albuterol. In a Bayesian model with noninformative priors, the OR for admission among encounters given corticosteroids was 0.86 (95% credible interval 0.77-0.96). CONCLUSIONS: Prehospital systemic corticosteroid administration was not associated with hospitalization or LOS in the overall cohort of asthma patients treated by EMS, though they had a lower probability of admission within Bayesian models. Improved outcomes were noted among subgroups of longer EMS encounters, documented wheezing, and receipt of albuterol.

Methodology for Evidence Evaluation and Reporting of the NAEMSP Trauma Compendium Position Statements.

BACKGROUND: Position statements from national organizations commonly vary in methodology for the evaluation of existing literature and the development of recommendations. Recent national recommendations have highlighted important components for evidence-based guidelines that can be feasibly incorporated in the creation of position statements and their resource documents. We describe the methodology developed to guide the creation of a compendium of 16 trauma-related position statements led by NAEMSP and partner organizations. METHODS: Each position statement group developed trauma-related topic areas, primarily guided by the Population, Intervention, Comparison, and Outcome (PICO) framework. A structured literature search comprised of search terms aimed to identify relevant EMS and trauma-related scientific publications was performed for each topic area. Resource documents for each position statement included a description of the literature considered in forming recommendations, reported through evidence tables and a narrative description of the available literature. Where evidence was limited, consensus-based recommendations were developed using content experts and reviewed by the NAEMSP Standards and Clinical Practice Committee. CONCLUSION: We report a standardized methodology for literature review and development of recommendations as part of a compendium of trauma-related position statements from NAEMSP and partner organizations. This methodology can serve as a template for future position statements with ongoing refinement.

Pediatric Utilization of Emergency Medical Services from Outpatient Offices and Urgent Care Centers.

OBJECTIVE: National efforts have highlighted the need for pediatric emergency readiness across all settings where children receive care. Outpatient offices and urgent care centers are frequent starting points for acutely injured and ill children, emphasizing the need to maintain pediatric readiness in these settings. We aimed to characterize emergency medical services (EMS) utilization from outpatient offices and urgent care centers to better understand pediatric readiness needs. METHODS: We performed a retrospective cross-sectional analysis of EMS encounters using the National Emergency Medical Services Information System, a nationally representative EMS registry (2019-2022). We included four years of EMS encounters of children (<18 years old) that originated from an outpatient office or urgent care center. We described characteristics, including patient demographics, prehospital clinician impression, therapies, and procedures performed. RESULTS: Of 179,854,336 EMS encounters during the study period, 164,387 pediatric encounters originated at an outpatient setting. Most EMS encounters originated from outpatient offices. Evening and weekend EMS encounters more frequently originated from urgent care centers. The most common impressions were respiratory distress (n = 60,716), systemic illness (n = 23,583), and psychiatric/behavioral health (n = 13,273). Ninety-four percent of EMS encounters resulted in transportation to a hospital. CONCLUSIONS: EMS encounters from outpatient settings most commonly originate from outpatient offices, relative to urgent care settings, where pediatric emergency readiness may be limited. It is important that outpatient settings and providers are ready for varied emergencies, including those occurring for a behavioral health concern, and that readiness guidelines are updated to address these needs.

Severity-Driven Trends in Mortality in a Large Regionalized Critical Care Transport Service.

OBJECTIVE: The epidemiology accompanying helicopter emergency medical services (HEMS) transport has evolved as agencies have matured and become integrated into regionalized health systems, as evidenced primarily by nationwide systems in Europe. System-level congruence between Europe and the United States, where HEMS is geographically fragmentary, is unclear. In this study, we provide a temporal, epidemiologic characterization of the largest standardized private, nonprofit HEMS system in the United States, STAT MedEvac. METHODS: We obtained comprehensive timing, procedure, and vital signs data from STAT MedEvac prehospital electronic patient care records for all adult patients transported to UPMC Health System hospitals in the period of January 2012 through October 2021. We linked these data with hospital electronic health records available through June 2018 to establish length of stay and vital status at discharge. RESULTS: We studied 90,960 transports and matched 62.8% (n = 57,128) to the electronic health record. The average patient age was 58.6 years ( 19 years), and most were male (57.9%). The majority of cases were interfacility transports (77.6%), and the most common general medical category was nontrauma (72.7%). Sixty-one percent of all patients received a prehospital intervention. Overall, hospital mortality was 15%, and the average hospital length of stay (LOS) was 8.8 days ( 10.0 days). Observed trends over time included increases in nontrauma transports, level of severity, and in-hospital mortality. In multivariable models, case severity and medical category correlated with the outcomes of mortality and LOS. CONCLUSION: In the largest standardized nonprofit HEMS system in the United States, patient mortality and hospital LOS increased over time, whereas the proportion of trauma patients and scene runs decreased.

Measures of Patient Acuity Among Children Encountered by Emergency Medical Services by the Child Opportunity Index.

Background: Children have differing utilization of emergency medical services (EMS) by socioeconomic status. We evaluated differences in prehospital care among children by the Child Opportunity Index (COI), the agreement between a child's COI at the scene and at home, and in-hospital outcomes for children by COI. Methods: We performed a retrospective study of pediatric (<18 years) scene encounters from approximately 2,000 United States EMS agencies from the 2021-2022 ESO Data Collaborative. We evaluated socioeconomic status using the multi-dimensional COI v2.0 at the scene. We described EMS interventions and in-hospital outcomes by COI categories using ordinal regression. We evaluated the agreement between the home and scene COI. Results: Data were available for 99.8% of pediatric scene runs, with 936,940 included EMS responses. Children from lower COI areas more frequently had a response occurring at home (62.9% in Very Low COI areas; 47.1% in Very High COI areas). Children from higher COI areas were more frequently not transported to the hospital (odds ratio [OR] 0.87, 95% confidence interval [CI] 0.86-0.87). Children in lower COI areas had lower use of physical (OR 1.23, 95% CI 1.13-1.33) and chemical (OR 1.41, 95% CI 1.29-1.55) restraints for behavioral health problems. Among injured children with elevated pain scores (≥7), analgesia was provided more frequently to children in higher COI areas (OR 1.73, 95% CI 1.65-1.81). The proportion of children in cardiac arrest was lowest from higher COI areas. Among 107,114 encounters with in-hospital data, the odds of hospitalization was higher among children from higher COI areas (OR 1.14, 95% CI 1.11-1.18) and was lower for in-hospital mortality (OR 0.75, 95% CI 0.65-0.85). Home and scene COI had a strong agreement (Kendall's W = 0.81). Conclusion: Patterns of EMS utilization among children with prehospital emergencies differ by COI. Some measures, such as for in-hospital mortality, occurred more frequently among children transported from Very Low COI areas, whereas others, such as admission, occurred more frequently among children from Very High COI areas. These findings have implications in EMS planning and in alternative out-of-hospital care models, including in regional placement of ambulance stations.

Comparison of Vital Sign Cutoffs to Identify Children With Major Trauma.

Importance: Vital signs are essential components in the triage of injured children. The Advanced Trauma Life Support (ATLS) and Pediatric Advanced Life Support (PALS) physiologic criteria are frequently used for trauma assessments. Objective: To evaluate the performance of ATLS and PALS criteria vs empirically derived criteria for identifying major trauma in children. Design, Setting, and Participants: This retrospective cohort study used 2021 American College of Surgeons Trauma Quality Improvement Program (TQIP) data contributed by US trauma centers. Included encounters involved pediatric patients (aged <18 years) with severe injury, excluding those who experienced out-of-hospital cardiac arrest, were receiving mechanical ventilation, or were transferred from another facility. Data were analyzed between April 9 and December 21, 2023. Exposure: Initial hospital vital signs, including heart rate, respiratory rate, and systolic blood pressure (SBP). Main Outcome and Measures: Major trauma, determined by the Standard Triage Assessment Tool, a composite measure of injury severity and interventions performed. Multivariable models developed from PALS and ATLS vital sign criteria were compared with models developed from the empirically derived criteria using the area under the receiver operating characteristic curve. Validation of the findings was performed using the 2019 TQIP dataset. Results: A total of 70 748 patients (median [IQR] age, 11 [5-15] years; 63.4% male) were included, of whom 3223 (4.6%) had major trauma. The PALS criteria classified 31.0% of heart rates, 25.7% of respiratory rates, and 57.4% of SBPs as abnormal. The ATLS criteria classified 25.3% of heart rates, 4.3% of respiratory rates, and 1.1% of SBPs as abnormal. Among children with all 3 vital signs documented (64 326 [90.9%]), PALS had a sensitivity of 88.4% (95% CI, 87.1%-89.3%) and specificity of 25.1% (95% CI, 24.7%-25.4%) for identifying major trauma, and ATLS had a sensitivity of 54.5% (95% CI, 52.7%-56.2%) and specificity of 72.9% (95% CI, 72.6%-73.3%). The empirically derived cutoff vital sign z scores had a sensitivity of 80.0% (95% CI, 78.5%-81.3%) and specificity of 48.7% (95% CI, 48.3%-49.1%) and area under the receiver operating characteristic curve of 70.9% (95% CI, 69.9%-71.8%), which was similar to PALS criteria (69.6%; 95% CI, 68.6%-70.6%) and greater than ATLS criteria (65.4%; 95% CI, 64.4%-66.3%). Validation using the 2019 TQIP database showed similar performance to the derivation sample. Conclusions and Relevance: These findings suggest that empirically derived vital sign criteria strike a balance between the sensitivity of PALS criteria and the specificity of ATLS criteria in identifying major trauma in children. These criteria may help to identify children at greatest risk of trauma-related morbidity and mortality.

Adverse Safety Events in Emergency Medical Services Care of Children With Out-of-Hospital Cardiac Arrest.

Importance: Survival for children with out-of-hospital cardiac arrest (OHCA) remains poor despite improvements in adult OHCA survival. Objective: To characterize the frequency of and factors associated with adverse safety events (ASEs) in pediatric OHCA. Design, Setting, and Participants: This population-based retrospective cohort study examined patient care reports from 51 emergency medical services (EMS) agencies in California, Georgia, Oregon, Pennsylvania, Texas, and Wisconsin for children younger than 18 years with an OHCA in which resuscitation was attempted by EMS personnel between 2013 and 2019. Medical record review was conducted from January 2019 to April 2022 and data analysis from October 2022 to February 2023. Main Outcomes and Measure: Severe ASEs during the patient encounter (eg, failure to give an indicated medication, 10-fold medication overdose). Results: A total of 1019 encounters of EMS-treated pediatric OHCA were evaluated; 465 patients (46%) were younger than 12 months. At least 1 severe ASE occurred in 610 patients (60%), and 310 patients (30%) had 2 or more. Neonates had the highest frequency of ASEs. The most common severe ASEs involved epinephrine administration (332 [30%]), vascular access (212 [19%]), and ventilation (160 [14%]). In multivariable logistic regression, the only factor associated with severe ASEs was young age. Neonates with birth-related and non-birth-related OHCA had greater odds of a severe ASE compared with adolescents (birth-related: odds ratio [OR], 7.0; 95% CI, 3.1-16.1; non-birth-related: OR, 3.4; 95% CI, 1.2-9.6). Conclusions and Relevance: In this large geographically diverse cohort of children with EMS-treated OHCA, 60% of all patients experienced at least 1 severe ASE. The odds of a severe ASE were higher for neonates than adolescents and even higher when the cardiac arrest was birth related. Given the national increase in out-of-hospital births and ongoing poor outcomes of OHCA in young children, these findings represent an urgent call to action to improve care delivery and training for this population.