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STUDY OBJECTIVE: Guidelines recommend 10-mg intramuscular midazolam as the first-line treatment option for status epilepticus. However, in real-world practice, it is frequently administered intranasally or intravenously and is dosed lower. Therefore, we used conventional and instrumental variable approaches to examine the effectiveness of midazolam in a national out-of-hospital cohort. METHODS: This retrospective cohort study of adults with status epilepticus used the ESO Data Collaborative research dataset (January 1, 2019, to December 31, 2019). The exposures were the route and dose of midazolam. We performed hierarchical logistic regression and 2-stage least squares regression using agency treatment patterns as an instrument to examine our outcomes, rescue therapy, and ventilatory support. RESULTS: There were 7,634 out-of-hospital encounters from 657 EMS agencies. Midazolam was administered intranasally in 20%, intravenously in 46%, and intramuscularly in 35% of the encounters. Compared with intramuscular administration, intranasal midazolam increased (risk difference [RD], 6.5%; 95% confidence interval [CI], 2.4% to 10.5%) and intravenous midazolam decreased (RD, -11.1%; 95% CI, -14.7% to -7.5%) the risk of rescue therapy. The differences in ventilatory support were not statistically significant (intranasal RD, -1.5%; 95% CI, -3.2% to 0.3%; intravenous RD, -0.3%; 95% CI, -1.9% to 1.2%). Higher doses were associated with a lower risk of rescue therapy (RD, -2.6%; 95% CI, -3.3% to -1.9%) and increased ventilatory support (RD, 0.4%; 95% CI, 0.1% to 0.7%). The instrumental variable analysis yielded similar results, except that dose was not associated with ventilatory support. CONCLUSION: The route and dose of midazolam affect clinical outcomes. Compared with intramuscular administration, intranasal administration may be less effective and intravenous administration more effective in terminating status epilepticus, although the differences between these and previous results may reflect the nature of real-world data as opposed to randomized data.

Background: First medical contact for patients with sepsis often initiates in the prehospital setting, yet limited studies have explored the EMS sepsis recognition-mortality relationship. Racial and ethnic minority patients often have worse sepsis outcomes, yet the role of prehospital recognition in this inequity has not been explored. Our objective was to describe prehospital sepsis recognition and hospital mortality, with analysis by patient race and ethnicity. Methods: Using linked EMS and hospital records from the 2021 ESO Data Collaborative, we retrospectively analyzed 9-1-1 EMS transports for adult patients with emergency department ICD-10 sepsis diagnosis codes. EMS sepsis recognition was defined as a primary or secondary sepsis impression, use of an electronic health record specialty sepsis form, or a prehospital sepsis alert. We used multivariable logistic regression to assess the association between EMS sepsis recognition and hospital mortality, adjusting for age, sex, race and ethnicity, scene socioeconomic status, and documented clinical characteristics: altered mental status, hypotension, tachypnea, tachycardia, fever. We conducted a secondary analysis of patients who were positive for the quick sequential organ failure assessment (qSOFA) using first prehospital vital signs. Results: We analyzed 20,172 records for EMS-transported patients with diagnosed sepsis. Overall, 8% of patients were Black, 8% were Hispanic, and 72% were White. Prehospital sepsis recognition was 18%. Prehospital sepsis recognition was similar across racial and ethnic groups (Black: 17.2%, Hispanic: 17.4%, White: 18.1%) and adjusted odds of sepsis recognition did not differ between racial and ethnic groups. Overall mortality was 11% (2,186). Prehospital sepsis recognition was associated with a 18% reduction in adjusted odds of mortality (OR: 0.82, 95% CI: 0.70-0.94). Of patients who were qSOFA positive in the field (n = 2,168), EMS sepsis recognition was 32% and was similar across race and ethnicities. Adjusted odds of mortality were 0.68 (95% CI: 0.53-0.88) when sepsis was recognized in the prehospital setting. Conclusion: EMS identified sepsis in fewer than one in three patients even after limiting to those positive for qSOFA, without differences by race and ethnicity. EMS sepsis recognition was associated with reduced odds of mortality; however, Black patients remained at greater odds of death suggesting additional factors that warrant investigation. [ABSTRACT FROM AUTHOR]

Varying rates of complications have been reported for prehospital sedation with ketamine, and the relationship to dosing has not been studied on a large scale. We evaluated the association between prehospital ketamine dosing and rates of intubations and other adverse events in patients with behavioral emergencies. Using the 2018/2019 ESO public-use research datasets, we included all non-traumatic, adult behavioral and drug-related EMS encounters with ketamine administration. Based on consensus guidelines, we stratified patients into "above" and "at/below" the maximum dosing for sedation (2 mg/kg IV/IO or 5 mg/kg IM) using the highest single dose of ketamine given. We created propensity scores for matched subjects using 1:1 propensity score matching. Using logistic regression, we compared rates of intubation and other airway interventions, antipsychotic coadministration, improvement reported by EMS, hypoxia, hypotension, and cardiac arrest between the two groups. We included 2383 patients: 478 in the above and 1905 in the at/below dose group. Above-dose ketamine was associated with a higher rate of intubation or supraglottic airway placement (6.4% v 3.3%, OR 2.0, 95% CI 1.00–3.90). Other airway interventions were similar (40.0% v 40.0%, OR 1, 95% CI 0.80–1.30). The above-dose group also showed a higher rate of improvement noted by EMS clinicians (92.5% v 88.7%, OR 1.6, 95% CI 1.01–2.40). The rates of antipsychotic coadministration, hypoxia, hypotension, and cardiac arrest were similar between the cohorts. Patients given ketamine doses above consensus recommendations for sedation appeared more likely to receive prehospital intubation but not more likely to experience other adverse events. [ABSTRACT FROM AUTHOR]

Documentation of patient care is essential for both out-of-hospital and in-hospital clinical management. Secondarily, documentation is key for monitoring and improving quality; however, in some EMS systems initial care is often provided by non-transporting agencies whose personnel may not routinely complete patient care reports. Limited data exist describing effective methods for increasing complete patient care documentation among non-transporting agencies. The aim of this quality improvement project was to increase electronic health record (EHR) documentation compliance in a large urban fire-based non-transporting EMS agency. The improvement project began in May 2020. Our primary outcome was the proportion of completed EHR records for EMS responses. Primary drivers were determined from informal interviews with front-line firefighters. Interventions were implemented following a Plan-Do-Study-Act (PDSA) approach first at a single station, then battalion, and ultimately at the entire department. Interventions included performance reports, modifications of chart requirements, localized directive requiring EHR completion for all EMS runs, directive to officers that EHRs are required, documentation training, and a department-wide directive. We used statistical process control charts (p-chart) to identify special cause variation following interventions. The baseline of EHR completion for the entire fire department was 5% (373/7423 records) for the month of January 2020. Front-line interviews with 58 firefighters revealed drivers including lack of accountability and unfamiliarity with the software. After implementing a station performance report at one fire station, the station's EHR rate climbed from 0.9% (3/337 records) to 26.7% (179/671) after 9 weeks. This test was expanded to a battalion of six stations with similar results. After multiple PDSA cycles focused on agency policy and training, overall department wide EHR compliance per month improved to 89% (4,816/5,439 records) for the month of February 2021 and sustained in following months. Within this large urban fire department, EHR documentation compliance improved significantly through a series of tests of change. Informal interviews with front-line personnel were instrumental in determining primary drivers to develop change ideas. Performance reports, training and facilitation of the reporting process, and department-wide directives led to acceptance and improvement with EHR compliance. [ABSTRACT FROM AUTHOR]

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]

Various vital sign ranges for pediatric patients have differing utility in identifying children with serious illness or injury requiring immediate intervention. While commonly used ranges are derived from samples of healthy children, limited research has explored the utility of those derived from real-world encounters by emergency medical services (EMS). We first sought to externally validate pediatric vital sign ranges empirically derived from the prehospital setting. Second, we compared the proportion of children who received prehospital interventions using current common classification systems versus empirically derived vital sign ranges. We retrospectively reviewed pediatric (<18 years) prehospital records from the 2021 ESO Collaborative dataset. We compared the proportions of encounters having vital signs (heart rate, respiratory rate, and systolic blood pressure) at the cutoffs of >99th, >95th, >90th, <10th, <5th and <1st centiles to previously reported centiles derived from EMS encounters in 2019–2020. We compared the deviation of mean Z-score by age between data sources. We identified the proportion of encounters with extreme (defined as <10th or >90th centile) vital signs who received prehospital interventions for the empirically derived criteria to six other classification criteria. 510,414 encounters were included, of which 66.9% were for medical indications and 70.7% resulted in hospital transport. The study sample had similar proportions of encounters identified at studied cutoffs compared to the previously published derivation sample, with all differences in proportions ≤1.1% between samples. All mean Z-scores were within 0.2 standard deviations of those from the derivation sample for each vital sign. Using empirically derived criteria, 34.2% had at least one extreme vital sign, compared to 69.1% with Pediatric Advanced Life Support criteria. Empirically derived extreme vital signs identified a higher proportion of children requiring most prehospital interventions compared to other vital signs criteria. Previously published empirically derived centiles for pediatric prehospital vital signs were replicated in this large multi-agency dataset. Compared to commonly used vital sign ranges, empirically derived criteria identified a higher proportion of children who received key prehospital interventions. Future steps include evaluating the role of these criteria in predictive models for in-hospital outcomes. [ABSTRACT FROM AUTHOR]

Prehospital post-resuscitation hypotension and hypoxia have been associated with adverse outcomes in the context of out-of-hospital cardiac arrest (OHCA). We aimed to investigate the association between clinical outcomes and post-resuscitation hypoxia alone, hypotension alone, and combined hypoxia and hypotension. We used the 2018–2021 ESO annual datasets to conduct this study. All EMS-treated non-traumatic OHCA patients who had a documented prehospital return of spontaneous circulation (ROSC) and two or more SpO2 readings and systolic blood pressures recorded were evaluated for inclusion. Patients who were less than 18 years of age, pregnant, had a do-not-resuscitate order or similar, achieved ROSC after bystander CPR only, or had an EMS-witnessed cardiac arrest were excluded. Multivariable logistic regression adjusted for standard Utstein factors and highest prehospital Glasgow Coma Scale (GCS) score was used to investigate the association between hypoxia, hypotension, and outcomes. We analyzed data for 17,943 patients, of whom 3,979 had hospital disposition data. Hypotension and hypoxia were not documented in 1,343 (33.8%) patients, 1,144 (28.8%) had only hypoxia documented, 507 (12.7%) had only hypotension documented, and 985 (24.8%) had both hypoxia and hypotension documented. In comparison to patients who did not have documented hypotension or hypoxia, patients who had documented hypoxia (aOR: 1.76 [1.38, 2.24]), documented hypotension (aOR: 3.00 [2.15, 4.18]), and documented hypoxia and hypotension combined (aOR: 4.87 [3.63, 6.53]) had significantly increased mortality. The relationship between mortality and vital sign abnormalities (hypoxia and hypotension > hypotension > hypoxia) was observed in every evaluated subgroup. In this large dataset, hypotension and hypoxia were independently associated with mortality both alone and in combination. Compared to patients without documented hypotension and hypoxia, patients with documented hypotension and hypoxia had nearly five-fold greater odds of mortality. [ABSTRACT FROM AUTHOR]

Asthma represents one of the most common medical conditions among children encountered by emergency medical services (EMS). While care disparities for children with asthma have been observed in other healthcare settings, limited data exist characterizing disparities in prehospital care. We sought to characterize differences in prehospital treatment and transport of children with suspected asthma exacerbations by race and ethnicity, within the context of community socioeconomic status. We conducted a multi-agency retrospective study of EMS encounters in 2019 for children (2–17 years) with asthma and wheezing using a national prehospital database. Our primary outcomes included EMS transport and prehospital bronchodilator or systemic corticosteroid administration. Scene socioeconomic status was evaluated using the social vulnerability index. We used generalized estimating equations to estimate adjusted odds ratios (aOR) and 95% confidence intervals (95%CI) for prehospital bronchodilator use or steroid use by race and ethnicity, adjusting for age, presence of abnormal vital signs, community size, bronchodilator use prior to EMS arrival, and transport disposition. We analyzed 5,266 EMS encounters (median age 8 years). Approximately half (53%) were Black non-Hispanic and 34% were White non-Hispanic. Overall, 77% were transported by EMS. In an adjusted model, Black non-Hispanic children were 25% less likely to be transported compared to White non-Hispanic children (aOR: 0.75, 95%CI: 0.58–0.96). EMS administered at least one bronchodilator to 81% of Black non-Hispanic patients, 73% of Hispanic patients, and 68% of White, non-Hispanic patients. Relative to White non-Hispanic children, EMS bronchodilator administration was greater for Black non-Hispanic children, (aOR: 1.55, 95%CI: 1.25–1.93), after controlling for scene socioeconomic status and potential confounding variables. Systemic corticosteroids were administered in 3% of all encounters. Odds of prehospital systemic corticosteroid administration did not differ significantly by race and ethnicity. Black non-Hispanic children comprised a larger proportion of EMS encounters for asthma and were more likely to receive a bronchodilator in adjusted analyses accounting for community socioeconomic status. However, these children were less likely to be transported by EMS. These findings may reflect disease severity not manifested by abnormal vital signs, management, and other social factors that warrant further investigation. [ABSTRACT FROM AUTHOR]

Ketamine is an emerging alternative sedation agent for prehospital management of agitation, yet research is limited regarding its use for children. Our objective was to compare the effectiveness and safety of ketamine and benzodiazepines when used for emergent prehospital sedation of pediatric patients with behavioral emergencies. We performed a retrospective review of 9-1-1 EMS records from the 2019-2020 ESO Data Collaborative research datasets. We included patients ≤18 years of age who received ketamine or benzodiazepines for EMS primary and secondary impressions indicating behavioral conditions. We excluded patients with first Glasgow Coma Scale (GCS) scores ≤8, those receiving ketamine or benzodiazepines prior to EMS arrival, those receiving both ketamine and benzodiazepines, and interfacility transfers. Effectiveness outcomes included general clinician assessment of improvement, decrease in GCS, and administration of a subsequent sedative. Safety outcomes included mortality; advanced airway placement; ventilatory assistance without advanced airway placement; or marked sedation (GCS ≤8). Chi-square and t-tests were used to compare the ketamine and benzodiazepines groups. Of 57,970 pediatric patients with behavioral complaints and GCS scores >8, 1,539 received ketamine (13.3%, n = 205) or a benzodiazepine (86.7%, n = 1,334). Most patients were ≥12 years old (89.2%, n = 1,372), predominantly Caucasian (48.3%, n = 744), and were equally distributed by sex (49.7% male, n = 765). First treatment with ketamine was associated with a greater likelihood of improvement (88.8% vs 70.5%, p < 0.001) and a greater average GCS reduction compared to treatment with benzodiazepines (-2.5 [SD:4.0] vs −0.3 [SD:1.7], p < 0.001). Fewer patients who received ketamine received subsequent medication compared to those who received benzodiazepines (12.2% vs 27.0%, p < 0.001). Marked sedation was more frequent with ketamine than benzodiazepines (28.8% vs 2.9%, p < 0.001). Provision of ventilatory support (1.5% vs 0.5%, p = 0.14) and advanced airway placement (1.0% vs 0.2%, p = 0.09) were similar between ketamine and benzodiazepine groups. No prehospital deaths were reported. In this pediatric cohort, prehospital sedation with ketamine was associated with greater patient improvement, less subsequent sedative administration, and greater sedation compared to benzodiazepines. Though we identified low rates of adverse events in both groups, ketamine was associated with more instances of marked sedation, which bears further study. [ABSTRACT FROM AUTHOR]

Introduction: Social determinants of health (SDoH) are known to impact the health and well-being of patients. However, information regarding them is not always collected in healthcare interactions, and healthcare professionals are not always well-trained or equipped to address them. Emergency medical services (EMS) professionals are uniquely positioned to observe and attend to SDoH because of their presence in patients' environments; however, the transmission of that information may be lost during transitions of care. Documentation of SDoH in EMS records may be helpful in identifying and addressing patients' insecurities and improving their health outcomes. Our objective in this study was to determine the presence of SDoH information in adult EMS records and understand how such information is referenced, appraised, and linked to other determinants by EMS personnel. Methods: Using EMS records for adult patients in the 2019 ESO Data Collaborative public-use research dataset using a natural language processing (NLP) algorithm, we identified free-text narratives containing documentation of at least one SDoH from categories associated with food, housing, employment, insurance, financial, and social support insecurities. From the NLP corpus, we randomly selected 100 records from each of the SDoH categories for qualitative content analysis using grounded theory. Results: Of the 5,665,229 records analyzed by the NLP algorithm, 175,378 (3.1%) were identified as containing at least one reference to SDoH. References to those SDoH were centered around the social topics of accessibility, mental health, physical health, and substance use. There were infrequent explicit references to other SDoH in the EMS records, but some relationships between categories could be inferred from contexts. Appraisals of patients' employment, food, and housing insecurities were mostly negative. Narratives including social support and financial insecurities were less negatively appraised, while those regarding insurance insecurities were mostly neutral and related to EMS operations and procedures. Conclusion: The social determinants of health are infrequently documented in EMS records. When they are included, they are infrequently explicitly linked to other SDoH categories and are often negatively appraised by EMS professionals. Given their unique position to observe and share patients' SDoH information, EMS professionals should be trained to understand, document, and address SDoH in their practice. [ABSTRACT FROM AUTHOR]

Introduction: While prior research has identified racial disparities in prehospital analgesia for traumatic pain, little is known about non-traumatic pain. Using a national prehospital dataset, we sought to evaluate for racial and ethnic disparities in analgesia given by EMS for non-traumatic pain. Methods: We analyzed the 2018 and 2019 data from the ESO Data Collaborative, a collection of de-identified prehospital electronic health records from nearly 1,300 participating EMS agencies in the US. We included all transported, adult, non-traumatic encounters with a primary or secondary impression of a pain complaint, and we stratified encounters based on race and ethnicity as recorded by the EMS clinicians. We performed a mixed model analysis, modeling EMS agency as a random intercept and adjusting for age, sex, pain location, level of service, location of incident, and highest pain score. With non-Hispanic White patients as the reference group, we then evaluated the association between race/ethnicity and receiving any pain medication (acetaminophen, non-steroidal anti-inflammatories, or opioids), receiving opioid pain medication, and receiving pain medication within 20 minutes of EMS arrival. Results: We included 1,035,486 patients; 67.5% non-Hispanic White, 26.8% Black, 4.9% Hispanic, 0.5% Asian, 0.1% Native Hawaiian or Other Pacific Islander, and 0.2% American Indian or Alaska Native patients. 4.7% of patients received pain medications. Compared to White patients (5.1%), Black patients were less likely to receive pain medication (3.3%, aOR 0.7; 95% CI 0.7-0.7) and Hispanics were more likely to receive pain medication (7.6%, aOR 1.5; 95% CI 1.4-1.6). Black patients were also less likely to receive opioids (1.8% for Black v 3.0% for White, aOR 0.7; 95% CI 0.6-0.7), while Hispanic patients were more likely to receive opioids (4.9%, aOR 1.4; 95% CI 1.3-1.5). The odds of receiving pain medication within 20 minutes was lower for Black patients (aOR 0.9; 95% CI 0.8-0.95) but no different for Hispanic patients (aOR 1.0; 95% CI 0.9-1.1), when compared to White patients. Conclusion: Pain medication administration is uncommon for non-traumatic pain complaints. While Black patients were less likely than White patients to receive pain medications and receive pain medication within 20 minutes, Hispanics were more likely to receive pain medications. [ABSTRACT FROM AUTHOR]

Prior studies examining prehospital characteristics related to return of spontaneous circulation (ROSC) in pediatric out-of-hospital cardiac arrest (OHCA) are limited to structured data. Natural language processing (NLP) could identify new factors from unstructured data using free-text narratives. The purpose of this study was to use NLP to examine EMS clinician free-text narratives for characteristics associated with prehospital ROSC in pediatric OHCA. This was a retrospective analysis of patients ages 0–17 with OHCA in 2019 from the ESO Data Collaborative. We performed an exploratory analysis of EMS narratives using NLP with an a priori token library. We then constructed biostatistical and machine learning models and compared their performance in predicting ROSC. There were 1,726 included EMS encounters for pediatric OHCA; 60% were male patients, and the median age was 1 year (IQR 0–9). Most cardiac arrest events (61.3%) were unwitnessed, 87.3% were identified as having medical causes, and 5.9% had initial shockable rhythms. Prehospital ROSC was achieved in 23.1%. Words most positively correlated with ROSC were "ROSC" (r = 0.42), "pulse" (r = 0.29), "drowning" (r = 0.13), and "PEA" (r = 0.12). Words negatively correlated with ROSC included "asystole" (r = −0.25), "lividity" (r = −0.14), and "cold" (r = −0.14). The terms "asystole," "pulse," "no breathing," "PEA," and "dry" had the greatest difference in frequency of appearance between encounters with and without ROSC (p < 0.05). The best-performing model for predicting prehospital ROSC was logistic regression with random oversampling using free-text data only (area under the receiver operating characteristic curve 0.92). EMS clinician free-text narratives reveal additional characteristics associated with prehospital ROSC in pediatric OHCA. Incorporating those terms into machine learning models of prehospital ROSC improves predictive ability. Therefore, NLP holds promise as a tool for use in predictive models with the goal to increase evidence-based management of pediatric OHCA. [ABSTRACT FROM AUTHOR]

Social determinants of health (SDOH) influence access to health care and are associated with inequities in patient outcomes, yet few studies have explored SDOH among pediatric EMS patients. The objective of this study was to examine the presence of SDOH in EMS clinician free text notes and quantify the association of SDOH with EMS pediatric transport decisions. This was a retrospective analysis of primary 9-1-1 responses for patients ages 0–17 years from the 2019 ESO Data Collaborative research dataset. We excluded cardiac arrests and patients in law enforcement custody. Using natural language processing (NLP) we extracted the following SDOH categories: income insecurity, food insecurity, housing insecurity, insurance insecurity, poor social support, and child protective services. Univariate and multivariable associations between the presence of SDOH in EMS records and EMS transport decisions were assessed using logistic regression. We analyzed 325,847 pediatric EMS encounters, of which 35% resulted in non-transport. The median age was 10 years and 52% were male. Slightly over half (53%) were White, 31% were Black, and 11% were Hispanic. Child protective services (n = 2,620) and housing insecurity (n = 1,136) were the most common SDOH categories found in the EMS free text narratives. In the multivariable model, child protective services involvement (odds ratio (OR)=2.04 [95% confidence interval (CI) 1.84–2.05]), housing insecurity (OR = 1.46 [95% CI 1.26–1.70]), insurance security (OR = 2.44 [95% CI 1.93–3.09]), and poor social support (OR = 10.48 [95% CI 1.42–77.29]) were associated with greater odds of EMS transport. SDOH documentation in the EMS narrative was rare among pediatric encounters; however, children with documented SDOH were more likely to be transported. Additional exploration of the root causes and outcomes associated with SDOH among children encountered by EMS are warranted. [ABSTRACT FROM AUTHOR]

Background: Falls are a common cause of injury with significantly associated medical costs yet public health surveillance of injuries from falls is underdeveloped. In addition, the epidemiologic understanding of outdoor falls, which have been reported to account for 47% of all injurious falls, is scant. Here we present methods to use emergency medical services (EMS) data as a public health surveillance tool for fall injuries, including those that occur secondary to syncope and heat illness, with a focus on the scope and epidemiology of outdoor fall injuries. Methods: Using the 2019 National Emergency Medical Services Information System (NEMSIS) data, we developed an approach to identify EMS encounters for fall injuries, syncope and heat illness. NEMSIS variables used in our algorithm included the EMS respondent's impression of the encounter, the reported major symptoms and the cause of injury. With these data we identified injuries from falls and, using the NEMSIS data on the location of the encounter, we identified fall injuries as occurring indoors or outdoors. We present the descriptive epidemiology of the identified patients. Results: There were 1,854,909 injuries from falls that required an EMS response identified in the NEMSIS data, with 4% of those injuries secondary to episodes of syncope (n = 73,126) and heat illness. Sufficient data were available from 94% of injurious falls that they could be assigned to indoor or outdoor locations, with 9% of these fall injuries occurring outdoors. Among fall injuries identified as occurring outdoors, 85% occurred on streets and sidewalks. Patient age was the primary sociodemographic characteristic that varied by location of the injurious fall. Sixty-six percent of fall injuries that occurred indoors were among those age 65 years or older, while this figure was 34% for fall injuries occurring outdoors on a street or sidewalk. Conclusion: The occurrence of outdoor fall injuries identified in the NEMSIS data were substantially lower than reported in other data sets. However, numerically fall injuries occurring outdoors represent a substantial public health burden. The strengths and weaknesses of using this approach for routine public health surveillance of injuries from falls, syncope and heat illness are discussed. [ABSTRACT FROM AUTHOR]

Background: The Centers for Disease Control and Prevention Guidelines for Field Triage of Injured Patients drive the destination decision for millions of emergency medical services (EMS)-transported trauma patients annually, yet limited information exists regarding performance and relationship with patient outcomes as a whole. Objective: To evaluate the association of positive findings on Centers for Disease Control and Prevention Guidelines for Field Triage of Injured Patients with hospitalization and mortality. Methods: This retrospective study included all 911 responses from the 2019 ESO Data Collaborative research dataset with complete Centers for Disease Control and Prevention Guidelines for Field Triage of Injured Patients and linked emergency department dispositions, excluding children and cardiac arrests prior to EMS arrival. Patients were categorized by Centers for Disease Control and Prevention Guidelines for Field Triage of Injured Patients step(s) met. Outcomes were hospitalization and emergency department or inhospital mortality. Results: There were 86,462 records included: n = 65,967 (76.3%) met no criteria, n = 16,443 (19.0%) met one step (n = 1,571 [9.6%] vitals, n = 1,030 [6.3%] anatomy of injury, n = 993 [6.0%] mechanism of injury, and n = 12,849 [78.1%] special considerations), and n = 4,052 (4.7%) met multiple. Compared with meeting no criteria, hospitalization odds increased threefold for vitals (odds ratio [OR]: 3.07, 95% confidence interval [CI]: 2.77–3.40), fourfold for anatomy of injury (OR: 3.94, 95% CI: 3.48–4.46), twofold for mechanism of injury (OR: 2.00, 95% CI: 1.74–2.29), or special considerations (OR: 2.46, 95% CI: 2.36–2.56). Hospitalization odds increased ninefold when positive in multiple steps (OR: 8.97, 95% CI: 8.37–9.62). Overall, n = 84,473 (97.7%) had mortality data available, and n = 886 (1.0%) died. When compared with meeting no criteria, mortality odds increased 10-fold when positive in vitals (OR: 9.58, 95% CI: 7.30–12.56), twofold for anatomy of injury (OR: 2.34, 95% CI: 1.28–4.29), or special considerations (OR: 2.10, 95% CI: 1.71–2.60). There was no difference when only positive for mechanism of injury (OR: 0.22, 95% CI: 0.03–1.54). Mortality odds increased 23-fold when positive in multiple steps (OR: 22.7, 95% CI: 19.7–26.8). Conclusions: Patients meeting multiple Centers for Disease Control and Prevention Guidelines for Field Triage of Injured Patients steps were at greater risk of hospitalization and death. When meeting only one step, anatomy of injury was associated with greater risk of hospitalization; vital sign criteria were associated with greater risk of mortality. [ABSTRACT FROM AUTHOR]

Bradycardia is the most common terminal cardiac electrical activity in children, and early recognition and treatment is necessary to avoid cardiac arrest. Interventions such as oxygen, chest compressions, epinephrine, and atropine recommended by American Heart Association (AHA) Pediatric Advanced Life support (PALS) guidelines have been shown to improve outcomes (including higher survival rates) for inpatient pediatric patients with bradycardia. However, little is known about the epidemiology of pediatric prehospital bradycardia. We sought to investigate the incidence and management of pediatric bradycardia in the prehospital setting by emergency medical services (EMS). This was a retrospective study of 911 scene response prehospital encounters for patients ages 0–18 years in 2019 from the United States ESO Research Data Collaborative. We defined age-based bradycardia per the 2015 AHA PALS guidelines. We performed general descriptive statistics and a univariate analysis examining any PALS-recommended interventions in the presence of altered mental status, hypotension for age, and a first heart rate less than 60. Of 7,422,710 encounters in the 2019 ESO Data Collaborative, 1,209 patients met inclusion criteria. Most (58.5%) were male, and the median age was 2 years (interquartile range 0–13 years). One-quarter (24.7%) of patients received fluids, and bag-valve mask ventilation was the most common airway intervention (12.1% of patients). Receipt of any PALS-recommended interventions was associated with age-adjusted hypotension (odds ratio (OR) 4.0, 95% confidence interval (CI) 3.9–5.4) and altered mental status (OR 15.5, 95% CI 10.7–22.3), but not a first heart rate less than 60 bpm (OR 0.9, 95% CI 0.6–1.1). To our knowledge, this study is the first to examine the incidence and management of prehospital pediatric bradycardia. Incidence was rare, but adherence to PALS guidelines was variable. Further research and education are needed to ensure proper prehospital treatment of pediatric bradycardia. [ABSTRACT FROM AUTHOR]

Background: A standardized objective measure of prehospital patient risk of hospitalization or death is needed. The Rapid Emergency Medicine Score (REMS), a validated risk-stratification tool, has not been widely tested for prehospital use. This study's objective was to assess predictive characteristics of initial prehospital REMS for ED disposition and overall patient mortality. Methods: This retrospective analysis used linked prehospital and hospital data from the national ESO Data Collaborative. All 911 responses from 1/1/2019–12/31/2019 were included. REMS (0–26) was calculated using age and first prehospital values for: pulse rate, mean arterial pressure, respiratory rate, oxygen saturation, and Glasgow Coma Scale. Non-transports, patients <18 and cardiac arrests prior to EMS arrival were excluded. The primary outcome was ED disposition, dichotomized to discharge versus admission, transfer, or death. The secondary outcome was overall survival to discharge (ED or inpatient). Transfers and records without inpatient disposition were excluded from the secondary analysis. Predictive ability was assessed using area under the receiver operating curve (AUROC). Optimal REMS cut points were determined using test characteristic curves. Univariable logistic regression modeling was used to quantify the association between initial prehospital REMS and each outcome. Results: Of 579,505 eligible records, 94,640 (16%) were excluded due to missing data needed to calculate REMS. Overall, 62% (n = 298,223) of patients were discharged from the ED, 36% (n = 175,212) were admitted, 2% (n = 10,499) were transferred, and 0.2% (n = 931) died in the ED. A REMS of 5 or lower demonstrated optimal statistical prediction for ED discharge versus not discharged (admission/transfer/death) (AUROC: 0.68). Patients with initial prehospital REMS of 5 or lower showed a three-fold increase in odds of ED discharge (OR: 3.28, 95%CI: 3.24–3.32). Of the 457,226 patients included in overall mortality analysis, >98% (n = 450,112) survived. AUROC of initial prehospital REMS for overall mortality was 0.79. A score 7 or lower was statistically optimal for predicting survival. Initial prehospital REMS of 7 or lower was associated with a five-fold increase in odds of overall survival (OR:5.41, 95%CI:5.15–5.69). Conclusion: Initial prehospital REMS was predictive of ED disposition and overall patient mortality, suggesting value as a risk-stratification measure for EMS agencies, systems and researchers. [ABSTRACT FROM AUTHOR]

Objective: Prehospital Termination of Resuscitation (TOR) protocols for adults can reduce the number of futile transports of patients in cardiac arrest, yet similar protocols are not widely available for paediatric out-of-hospital cardiac arrest (POHCA). The objective of this study was to apply a set of criteria for paediatric TOR (pTOR) from the Maryland Institute for Emergency Medical Services Systems (MIEMSS) to a large national cohort and determine its association with return of spontaneous circulation (ROSC) after POHCA.Methods: We identified patients ages 0-17 treated by Emergency Medical Services (EMS) with cardiac arrest in 2019 from the ESO dataset and and applied the applicable pTOR certeria for medical or traumatic arrests. We calculated predictive test characteristics for the outcome of prehospital ROSC, stratified by medical and traumatic cause of arrest.Results: We analyzed records for 1595 POHCA patients. Eighty-eight percent (n = 1395) were classified as medical. ROSC rates were 23% among medical POHCA and 27% among traumatic POHCA. The medical criteria correctly classified >99% (322/323) of patients who achieved ROSC as ineligible for TOR. The trauma criteria correctly classified 93% (50/54) of patients with ROSC as ineligible for TOR. Of the five misclassified patients, three were involved in drowning incidents.Conclusions: The Maryland pTOR criteria identified eligible patients who did not achieve prehospital ROSC, while reliably excluding those who did achieve prehospital ROSC. As most misclassified patients were victims of drowning, we recommend considering the exclusion of drowning patients from future pTOR guidelines. Further studies are needed to evaluate the long-term survival and neurologic outcome of patients misclassified by pTOR criteria. [ABSTRACT FROM AUTHOR]

Various screening tools, ranging in complexity, have been developed to predict large vessel occlusion (LVO) stroke in the prehospital setting. Our objective was to determine whether newly-developed LVO stroke scales offer a clinically-meaningful advantage over the Cincinnati Prehospital Stroke Scale (CPSS). We retrospectively analyzed prehospital patient care records linked with hospital data from 151 EMS agencies in the United States, between January 1, 2018 and December 31, 2018. We compared the CPSS to the Rapid Arterial Occlusion Evaluation (RACE), Los Angeles Motor Scale (LAMS), and the Vision, Aphasia, Neglect (VAN) assessment for LVO prediction. For each stroke scale, we used the intersection of sensitivity and specificity curves to determine optimal prediction cut-points. We used area under the ROC curve and 95% confidence intervals to assess for differences in discriminative ability between scales. We identified 13,596 prehospital records with one or more documented stroke scales of interest. Among these, 4,228 patients were diagnosed with stroke. Over half (57%, n = 2,415) of patients diagnosed with stroke experienced an acute ischemic stroke. Of patients with ischemic stroke, 26% (n = 628) were diagnosed with LVO. A CPSS score of 2 or higher demonstrated sensitivity = 69% and specificity = 78% for LVO. A RACE score of 4 or higher demonstrated sensitivity = 63%, specificity = 73%. A LAMS score of 3 or higher demonstrated sensitivity = 63%, specificity = 72% and a positive VAN score demonstrated sensitivity = 86%, specificity = 65%. Comparing the area under the ROC curve for each scale revealed no statistically significant differences in discriminative ability for LVO stroke. In this large sample of real-world prehospital patient encounters, the CPSS demonstrated similar predictive performance characteristics compared to the RACE, LAMS, and VAN for detecting LVO stroke. Prior to implementing a specific screening tool, EMS agencies should evaluate ease of use and associated implementation costs. Scored 0–3, the simple, widely-used CPSS may serve as a favorable prehospital screening instrument for LVO detection with a cut-point of 2 or higher maximizing the tradeoff between sensitivity and specificity. [ABSTRACT FROM AUTHOR]

Introduction: Emergency Medical Services (EMS) providers may identify and preferentially transport patients experiencing large vessel occlusion (LVO) stroke to appropriate treatment centers. The Rapid Arterial oCclusion Evaluation (RACE) scale was created for prehospital LVO detection, yet few studies have evaluated its function in real-world EMS settings. Our objective was to assess the prehospital performance of the RACE scale for detecting LVO stroke following implementation at a large suburban/rural agency in the United States. Methods: In this retrospective analysis, all 9-1-1 patients with an EMS provider primary or secondary impression of stroke treated by the agency between June 1, 2016 and November 1, 2017 were eligible for inclusion. Patient data were abstracted using a standardized form completed by receiving hospitals. Performance for LVO detection at each RACE cutoff value was evaluated using sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV). A receiver operating characteristic (ROC) curve was used to evaluate the discrimination of the RACE scale overall. A secondary analysis of RACE for patients experiencing strokes best treated at comprehensive stroke centers (LVO and intracerebral hemorrhage [ICH]) was conducted. Results: There were 440 patients with a documented RACE score and hospital outcome data included in the analysis. About half (51%, n = 220) were female and the median age was 70 years (IQR: 59–81). Last known well time was under 4.5 hours for 76% of patients (n = 261). Over half (61%, n = 269) had a hospital discharge diagnosis of stroke and 64/440 (15%) were classified as LVO. The ROC curve demonstrated adequate discrimination with a c-statistic of 0.72. Performance for identifying LVO in the prehospital setting was greatest for RACE scores ≥5 with a sensitivity of 66% and specificity of 72%, PPV of 29%, and NPV of 93%. A RACE score ≥5 for both LVO and ICH demonstrated sensitivity: 63%, specificity: 77%, PPV: 47% and NPV: 86%. Conclusion: The RACE scale demonstrated acceptable discrimination, yet the sensitivity and positive predictive value were lower in this cohort of EMS professionals in the United States than in the original validation study conducted in Spain. Further work is needed to determine the optimal prehospital screening tool for identification of LVO. [ABSTRACT FROM AUTHOR]

Objective: This study describes firefighters' on-scene decontamination procedure use post-working fire and frequency of adherence to best practice. Methods: This retrospective analysis of working fires was conducted using records from the ESO Data Collaborative (Austin, TX) national research database from January 1, 2021, to December 31, 2021. Documentation of decontamination procedures was examined among records with smoke or combustion products exposure. Firefighter and incident characteristics were evaluated. Descriptive statistics and univariable odds ratios were calculated. Results: Among the 31,281 firefighters included in the study, 8.0% documented a fire-related exposure. Of those, 82% performed at least one on-scene decontamination procedure; 5% documented all decontamination procedures defined as best practices. The odds of documenting any decontamination procedure were significantly decreased among firefighters responding to incidents in rural areas compared with urban areas (odds ratio, 0.70). Conclusions: Fire personnel may not be taking all necessary decontamination steps post-working fires. [ABSTRACT FROM AUTHOR]