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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. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

Background: Vital signs are frequently used in pediatric prehospital assessments and guide protocol utilization. Common pediatric vital sign classification criteria identify >80% of children in the prehospital setting as having abnormal vital signs, though few receive lifesaving interventions (LSIs). We sought to identify data‐driven thresholds for abnormal vital signs by evaluating their association with prehospital LSIs. Methods: We evaluated prehospital care records for children (<18 years) transported to the hospital during 2022 from a large, national repository of emergency medical services (EMS) patient encounters. Predictors of interest were heart rate (HR), respiratory rate (RR), systolic blood pressure (SBP), and pulse oximetry. HR, RR, and SBP were converted to Z‐scores using age‐based distributional models. Our outcome was potential LSIs, defined as performance of selected respiratory procedures, resuscitative interventions, or medication administrations. Using cut point analysis, we identified higher specificity (maximal specificity with a minimum of 25% sensitivity) and higher sensitivity (maximal sensitivity with a minimum of 25% specificity) ranges for each vital sign and evaluated measures of diagnostic accuracy. Results: We included 987,515 children (median age 10 years, IQR 2–15 years). An LSI occurred in 4.3% (2.1% with respiratory procedures, 1.2% with resuscitative interventions, and 2.0% with medication administration). HR, RR, and SBP demonstrated a U‐shaped association with LSIs. Specificities ranged from 84.1% to 93.7% for higher specificity criteria, with RR demonstrating the best performance (sensitivity 84.6%, specificity 27.0%). Sensitivities ranged from 62.3% to 84.4% for higher sensitivity criteria. Conclusions: Cut points for pediatric vital signs were associated with LSIs. Specific age‐adjusted ranges can identify children at higher and lower risk for receipt of LSI. These ranges may be combined with other objective measures to improve the assessment of children in the prehospital setting, assist in optimizing protocol utilization, improve transport decision making, and guide destination selection. [ABSTRACT FROM AUTHOR]

Background: Vital signs are a critical component of the prehospital assessment. Prior work has suggested that vital signs may vary in their distribution by age. These differences in vital signs may have implications on in‐hospital outcomes or be utilized within prediction models. We sought to (1) identify empirically derived (unadjusted) cut points for vital signs for adult patients encountered by emergency medical services (EMS), (2) evaluate differences in age‐adjusted cutoffs for vital signs in this population, and (3) evaluate unadjusted and age‐adjusted vital signs measures with in‐hospital outcomes. Methods: We used two multiagency EMS data sets to derive (National EMS Information System from 2018) and assess agreement (ESO, Inc., from 2019 to 2021) of vital signs cutoffs among adult EMS encounters. We compared unadjusted to age‐adjusted cutoffs. For encounters within the ESO sample that had in‐hospital data, we compared the association of unadjusted cutoffs and age‐adjusted cutoffs with hospitalization and in‐hospital mortality. Results: We included 13,405,858 and 18,682,684 encounters in the derivation and validation samples, respectively. Both extremely high and extremely low vital signs demonstrated stepwise increases in admission and in‐hospital mortality. When evaluating age‐based centiles with vital signs, a gradual decline was noted at all extremes of heart rate (HR) with increasing age. Extremes of systolic blood pressure at upper and lower margins were greater in older age groups relative to younger age groups. Respiratory rate (RR) cut points were similar for all adult age groups. Compared to unadjusted vital signs, age‐adjusted vital signs had slightly increased accuracy for HR and RR but lower accuracy for SBP for outcomes of mortality and hospitalization. Conclusions: We describe cut points for vital signs for adults in the out‐of‐hospital setting that are associated with both mortality and hospitalization. While we found age‐based differences in vital signs cutoffs, this adjustment only slightly improved model performance for in‐hospital outcomes. [ABSTRACT FROM AUTHOR]

Healthcare disparities in the initial management of patients with acute coronary syndrome (ACS) exist. Yet, the complexity of interactions between demographic, social, economic, and geospatial determinants of health hinders incorporating such predictors in existing risk stratification models. We sought to explore a machine‐learning‐based approach to study the complex interactions between the geospatial and social determinants of health to explain disparities in ACS likelihood in an urban community. This study identified consecutive patients transported by Pittsburgh emergency medical service for a chief complaint of chest pain or ACS‐equivalent symptoms. We extracted demographics, clinical data, and location coordinates from electronic health records. Median income was based on US census data by zip code. A random forest (RF) classifier and a regularized logistic regression model were used to identify the most important predictors of ACS likelihood. Our final sample included 2400 patients (age 59 ± 17 years, 47% Females, 41% Blacks, 15.8% adjudicated ACS). In our RF model (area under the receiver operating characteristic curve of 0.71 ± 0.03) age, prior revascularization, income, distance from hospital, and residential neighborhood were the most important predictors of ACS likelihood. In regularized regression (akaike information criterion = 1843, bayesian information criterion = 1912, χ2 = 193, df = 10, p < 0.001), residential neighborhood remained a significant and independent predictor of ACS likelihood. Findings from our study suggest that residential neighborhood constitutes an upstream factor to explain the observed healthcare disparity in ACS risk prediction, independent from known demographic, social, and economic determinants of health, which can inform future work on ACS prevention, in‐hospital care, and patient discharge. [ABSTRACT FROM AUTHOR]

Fatigue and sleep deficiency among public safety personnel are threats to wellness, public and personal safety, and workforce retention. Napping strategies may reduce work‐related fatigue, improve safety and health, yet in some public safety organizations it is discouraged or prohibited. Our aim with this commentary is to define intra‐shift napping, summarize arguments for and against it, and to outline potential applications of this important fatigue mitigation strategy supported by evidence. We focus our discussion on emergency medical services (EMS); a key component of the public safety system, which is comprised of police, fire, and EMS. The personnel who work in EMS stand to benefit from intra‐shift napping due to frequent use of extended duration shifts, a high prevalence of personnel working multiple jobs, and evidence showing that greater than half of EMS personnel report severe fatigue, poor sleep quality, inadequate inter‐shift recovery, and excessive daytime sleepiness. The benefits of intra‐shift napping include decreased sleepiness and fatigue, improved recovery between shifts, decreased anxiety, and reduced feelings of burnout. Intra‐shift napping also mitigates alterations in clinician blood pressure associated with disturbed sleep and shift work. The negative consequences of napping include negative public perception, acute performance deficits stemming from sleep inertia, and the potential costs associated with reduced performance. While there are valid arguments against intra‐shift napping, we believe that the available scientific evidence favors it as a key component of fatigue mitigation and workplace wellness. We further believe that these arguments extend beyond EMS to all sectors of public safety. [ABSTRACT FROM AUTHOR]

Emergency department (ED) nurses need to identify patients with potential acute coronary syndrome (ACS) rapidly because treatment delay could impact patient outcomes. Aims of this secondary analysis were to identify key patient factors that could be available at initial ED nurse triage that predict ACS. Consecutive patients with chest pain who called 9‐1‐1, received a 12‐lead electrocardiogram in the prehospital setting, and were transported via emergency medical service were included in the study. A total of 750 patients were recruited. The sample had an average age of 59 years old, was 57% male, and 40% Black. One hundred and fifteen patients were diagnosed with ACS. Older age, non‐Caucasian race, and faster respiratory rate were independent predictors of ACS. There was an interaction between heart rate by Type II diabetes receiving insulin in the context of ACS. Type II diabetics requiring insulin for better glycemic control manifested a faster heart rate. By identifying patient factors at ED nurse triage that could be predictive of ACS, accuracy rates of triage may improve, thus impacting patient outcomes. [ABSTRACT FROM AUTHOR]

Background: Pediatric patients attended to by emergency medical services (EMS) but not transported to the hospital are an at‐risk population. We aimed to evaluate risk factors associated with nontransport by EMS in pediatric patients. Methods: We reviewed medical records of 24 agencies in a regional EMS system in Southwestern Pennsylvania between January 1, 2014, and December 31, 2017. We abstracted demographics (age, sex, medical complaint, median household income by zip code, race, ethnicity), clinical characteristics (abnormal vital signs by age, procedures done), and transport characteristics. We excluded patients ≥ 18 years, interfacility transfers, scene assists, cardiac arrest, and those without a patient encounter. We used unadjusted and adjusted logistic regression to identify factors associated with nontransport, reporting adjusted odds ratios (aOR) with 95% confidence intervals (CIs). Results: We included 30,663 pediatric patients (52.9% male, mean ± SD age = 8.5 ± 6.2 years), of whom 5,002 (16.3%) were nontransports. In adjusted analysis (aOR, 95% CI), nontransports were associated with medical categories of trauma (4.32, 3.57–5.23), respiratory (4.03, 3.09–5.26), toxicologic (2.53, 1.66–3.86), and syncope (5.97, 3.78–9.41). Nontransports were less likely for psychiatric (0.52, 0.34–0.79) complaints; for black patients compared to white (0.31, 0.26–0.37); and in patients 6 to <12 years (0.76, 0.65–0.90), 2 to <6 years (0.77, 0.65–0.91), 1 to <2 years (0.53, 0.42–0.66), and 1 month to 1 year (0.52, 0.40–0.66) compared to patients ≥ 12 years of age. Nontransport was associated with longer scene time (1.03, 1.02–1.04) and with fall compared to winter (1.29, 1.08–1.54) and was less likely in those with abnormal mental status (0.45, 0.33–0.62), medication administration (0.16, 0.08–0.31), or monitor application (0.10, 0.06–0.15). Conclusion: Pediatric nontransports are associated with traumatic, respiratory, and toxicologic complaints and older age. These findings can facilitate development of refusal protocols and research on outcomes of these at‐risk patients. [ABSTRACT FROM AUTHOR]

Objectives: Emergency medical services (EMS) was recently approved as a subspecialty by the American Board of Medical Specialties, highlighting the core content of knowledge that encompasses prehospital emergency patient care. This study aimed to describe the current state of EMS education at emergency medicine (EM) residency programs in the United States. Methods: The authors distributed an online survey containing multiple-choice and free-response questions pertaining to resident EMS education to the directors of EM residency programs in the United States between July 21 and September 10, 2010. Results: Of 154 programs, 117 (75%) responded to the survey, and 108 (70%) completed the survey by answering all required questions. Of completed surveys, 82 programs (76%) reported the cumulative time devoted to EMS didactic education during the course of residency training, a median of 20 hours (range = 3 to 300 hours; interquartile range [IQR] = 12 to 36 hours). There is a designated EMS rotation in 89% of programs, with a median duration of 3 weeks (range = 1 to 9 weeks; IQR = 2 to 4 weeks). Most programs involve residents on EMS rotations strictly as in-field observers (63%), some as in-field providers (20%), and the rest with some combination of the two roles. Ground ride-along is required in 94% of programs, while air ride-along is mandatory in 4% and optional in 81% of programs. Direct medical oversight (DMO) certification is required in 41% of residency programs, but not available in 26% of program jurisdictions. Residents in 92% of programs provide DMO. In those programs, most residents (77%) provide DMO primarily while working in the emergency department (ED), 13% during dedicated EMS or medical oversight shifts, and 4% during a combination of these shifts. Disaster-preparedness was most frequently listed as the component programs would like to add to their EMS curricula. Conclusions: There is a wide range in the didactic, online, and in-field EMS educational experiences provided as part of EM training. Most residents participate in ground ride-along activities, provide DMO, and have a dedicated EMS rotation. Disaster-preparedness is the most common desired addition to existing EMS rotations. ACADEMIC EMERGENCY MEDICINE 2012; 19:1-6 © 2012 by the Society for Academic Emergency Medicine [ABSTRACT FROM AUTHOR]