Prehospital Sepsis Recognition and Outcomes for Patients with Sepsis by Race and Ethnicity.

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.

Community Socioeconomic and Urban-Rural Disparities in Prehospital Notification of Stroke by Emergency Medical Services in North Carolina.

OBJECTIVES: Notification by emergency medical services (EMS) to the destination hospital of an incoming suspected stroke patient is associated with timelier in-hospital evaluation and treatment. Current data on adherence to this evidence-based best practice are limited, however. We examined the frequency of EMS stroke prenotification in North Carolina by community socioeconomic status (SES) and rurality. METHODS: Using a statewide database of EMS patient care reports, we selected 9-1-1 responses in 2019 with an EMS provider impression of stroke or documented stroke care protocol use. Eligible patients were 18 years old and older with a completed prehospital stroke screen. Incident street addresses were geocoded to North Carolina census tracts and linked to American Community Survey socioeconomic data and urban-rural commuting area codes. High, medium, and low SES tracts were defined by SES index tertiles. Tracts were classified as urban, suburban, and rural. We used multivariable logistic regression to estimate independent associations between tract-level SES and rurality with EMS prenotification, adjusting for patient age, sex, and race/ethnicity; duration of symptoms; incident day of week and time of day; 9-1-1 dispatch complaint; EMS provider primary impression; and prehospital stroke screen interpretation. RESULTS: The cohort of 9527 eligible incidents was mostly at least 65 years old (65%), female (55%), and non-Hispanic White (71%). EMS prenotification occurred in 2783 (29%) patients. Prenotification in low SES tracts (27%) occurred less often than in medium (30%) and high (32%) SES tracts. Rural tracts had the lowest frequency (21%) compared with suburban (28%) and urban (31%) tracts. In adjusted analyses, EMS prenotification was less likely in low SES (vs high SES; odds ratio 0.76, 95% confidence interval 0.67-0.88) and rural (vs urban; odds ratio 0.64, 95% confidence interval 0.52-0.77) tracts. CONCLUSIONS: Across a large, diverse population, EMS prenotification occurred in only one-third of suspected stroke patients. Furthermore, low SES and rural tracts were independently associated with a lower likelihood of prehospital notification. These findings suggest the need for education and quality improvement initiatives to increase EMS stroke prenotification, particularly in underserved communities.

Evaluating Firefighter On-Scene Decontamination Practices Using a National Fire Records Management System.

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.

Racial, Ethnic, and Socioeconomic Disparities in Out-of-Hospital Pain Management for Patients With Long Bone Fractures.

STUDY OBJECTIVE: To evaluate racial and ethnic disparities in out-of-hospital analgesic administration, accounting for the influence of clinical characteristics and community socioeconomic vulnerability, among a national cohort of patients with long bone fractures. METHODS: Using the 2019-2020 ESO Data Collaborative, we retrospectively analyzed emergency medical services (EMS) records for 9-1-1 advanced life support transport of adult patients diagnosed with long bone fractures at the emergency department. We calculated adjusted odds ratios (aOR) and 95% confidence intervals (CI) for out-of-hospital analgesic administration by race and ethnicity, accounting for age, sex, insurance, fracture location, transport time, pain severity, and scene Social Vulnerability Index. We reviewed a random sample of EMS narratives without analgesic administration to identify whether other clinical factors or patient preferences could explain differences in analgesic administration by race and ethnicity. RESULTS: Among 35,711 patients transported by 400 EMS agencies, 81% were White, non-Hispanic, 10% were Black, non-Hispanic, and 7% were Hispanic. In crude analyses, Black, non-Hispanic patients with severe pain were less likely to receive analgesics compared with White, non-Hispanic patients (59% versus 72%; Risk Difference: -12.5%, 95% CI: -15.8% to -9.9%). After adjustment, Black, non-Hispanic patients remained less likely to receive analgesics compared with White, non-Hispanic patients (aOR:0.65, 95% CI:0.53 to 0.79). Narrative review identified similar rates of patients declining analgesics offered by EMS and analgesic contraindications across racial and ethnic groups. CONCLUSIONS: Among EMS patients with long bone fractures, Black, non-Hispanic patients were substantially less likely to receive out-of-hospital analgesics compared with White, non-Hispanic patients. These disparities were not explained by differences in clinical presentations, patient preferences, or community socioeconomic conditions.

Emergency medical services clinicians in the United States are increasingly exposed to death.

Introduction: Exposure to patient death places healthcare workers at increased risk for burnout and traumatic stress, yet limited data exist exploring exposure to death among emergency medical services (EMS) clinicians. Our objective was to describe changes in EMS encounters involving on-scene death from 2018 to 2021. Methods: We retrospectively analyzed deidentified EMS records for 9-1-1 responses from the ESO Data Collaborative from 2018 to 2021. We identified cases where patient dispositions of death on scene, with or without attempted resuscitation, and without EMS transport. A non-parametric test of trend was used to assess for monotonic increase in agency-level encounters involving on-scene death and the proportion of EMS clinicians exposed to ≥1 on-scene death. Results: We analyzed records from 1109 EMS agencies. These agencies responded to 4,286,976 calls in 2018, 5,097,920 calls in 2019, 4,939,651 calls in 2020, and 5,347,340 calls in 2021.The total number of encounters with death on scene rose from 49,802 in 2018 to 60,542 in 2019 to 76,535 in 2020 and 80,388 in 2021. Agency-level annual counts of encounters involving death on scene rose from a median of 14 (interquartile range [IQR], 4-40) in 2018 to 2023 (IQR, 6-63) in 2021 (P-trend < 0.001). In 2018, 56% of EMS clinicians responded to a call with death on scene, and this number rose to 63% of EMS clinicians in 2021 (P-trend < 0.001). Conclusion: From 2018 to 2021, EMS clinicians were increasingly exposed to death. This trend may be driven by COVID-19 and its effects on the healthcare system and reinforces the need for evidence-based death notification training to support EMS clinicians.

Patient Outcomes Based on the 2011 CDC Guidelines for Field Triage of Injured Patients.

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.

Predictors of Non-Transport for Older Adult EMS Patients Encountered for Falls.

BACKGROUND: Emergency medical services (EMS) encounters for falls among older adults have been linked to poor outcomes when the patient is not transported by EMS to a hospital. However, little is known regarding characteristics of this patient population. Our primary objective was to describe characteristics associated with non-transport among older adult EMS patients encountered for falls. METHODS: We performed a national retrospective cross-sectional study of 9-1-1 patient contacts from the 2019 ESO Data Collaborative. We included patients who had 9-1-1 encounters for ground-level falls and were aged 60 years or older. Patients residing in congregate living facilities, interfacility transports, cardiac arrests, and suspected drowning patients were excluded. Potential predictors of non-transport included patient demographics, initial vital signs, who requested 9-1-1 service, incident location, alcohol/substance use, and urbanicity. We used multivariable logistic regression to determine associations between non-transport and potential predictors. RESULTS: We identified 195,204 EMS encounters for older adults who fell in 2019, including 27,563 (14.1%) non-transports. Most patients were female (62.4%), non-Hispanic White (85.4%), and fell at a home or residence (80.4%). Greater odds of non-transport were identified among males (OR 1.37, 95% CI 1.32-1.42) and Hispanic/Latino patients (OR 1.24, 95% CI 1.14-1.35). Older age was associated with greater odds of non-transport compared to patients aged 60-69 years (70-79 [OR 1.42, 95% CI 1.35-1.49], 80-89 [OR 1.51, 95% CI 1.42-1.59], ≥90 [OR 1.45, 95% CI 1.35-1.55]). Patients residing in Census tracts with larger percentages of the population living in poverty had lower odds of non-transport compared to those in areas with ≤5% in poverty (6-15% poverty [OR 0.82, 95% CI 0.78-0.84), 15-25% poverty [OR 0.78, 95% CI 0.73-0.82], and >25% poverty [OR 0.78, 95% CI 0.72-0.84]). CONCLUSION: Males, older age groups, and Hispanic/Latino patients had higher odds of non-transport among this population of community-dwelling adults age 60 or greater. These findings may inform development of future targeted falls-related mobile integrated health or community paramedic services and referrals to community intervention programs. Future work is needed to understand underlying patient and clinician perspectives driving non-transport decisions among these patients to better equip EMS clinicians with tools and information on tailored risk/benefit discussions.

Community socioeconomic and urban-rural differences in emergency medical services times for suspected stroke in North Carolina.

OBJECTIVE: Our objectives were to describe time intervals of EMS encounters for suspected stroke patients in North Carolina (NC) and evaluate differences in EMS time intervals by community socioeconomic status (SES) and rurality. METHODS: This cross-sectional study used statewide data on EMS encounters of suspected stroke in NC in 2019. Eligible patients were adults requiring EMS transport to a hospital following a 9-1-1 call for stroke-like symptoms. Incident street addresses were geocoded to census tracts and linked to American Community Survey SES data and to rural-urban commuting area (RUCA) codes. Community SES was defined as high, medium, or low based on tertiles of an SES index. Urban, suburban, and rural tracts were defined by RUCA codes 1, 2-6, and 7-10, respectively. Multivariable quantile regression was used to estimate how the median and 90th percentile of EMS time intervals varied by community SES and rurality, adjusting for each other; patient age, gender, and race/ethnicity; and incident characteristics. RESULTS: We identified 17,117 eligible EMS encounters of suspected stroke from 2028 census tracts. The population was 65% 65+ years old; 55% female; and 69% Non-Hispanic White. Median response, scene, and transport times were 8 (interquartile range, IQR 6-11) min, 16 (IQR 12-20) min, and 14 (IQR 9-22) minutes, respectively. In quantile regression adjusted for patient demographics, minimal differences were observed for median response and scene times by community SES and rurality. The largest median differences were observed for transport times in rural (6.7 min, 95% CI 5.8, 7.6) and suburban (4.7 min, 95% CI 4.2, 5.1) tracts compared to urban tracts. Adjusted rural-urban differences in 90th percentile transport times were substantially greater (16.0 min, 95% CI 14.5, 17.5). Low SES was modesty associated with shorter median (-3.3 min, 95% CI -3.8, -2.9) and 90th percentile (-3.0 min, 95% CI -4.0, -2.0) transport times compared to high SES tracts. CONCLUSIONS: While community-level factors were not strongly associated with EMS response and scene times for stroke, transport times were significantly longer rural tracts and modestly shorter in low SES tracts, accounting for patient demographics. Further research is needed on the role of community socioeconomic deprivation and rurality in contributing to delays in prehospital stroke care.

Adverse events following emergent prehospital sedation of patients with behavioral emergencies: A retrospective cohort study.

Background: Patients presenting to emergency medical services (EMS) with behavioral emergencies may require emergent sedation to facilitate care, but concerns about sedation-related adverse events (AEs) exist. This study aimed to describe the frequency of AEs following emergent prehospital sedation with three types of sedative agents: ketamine, benzodiazepines and antipsychotics. Methods: This retrospective cohort study included patients ≥ 15 years who presented to 1031U.S. EMS agencies in calendar year 2019 with behavioral emergencies necessitating emergent prehospital sedation. Serious AEs (SAE) included cardiac arrest, invasive airway placement, and severe oxygen desaturation (<75%). Less-serious AEs included positive pressure ventilation, any oxygen desaturation (<90%), oropharyngeal or nasopharyngeal airway placement, and suctioning. The need for additional sedation was also assessed. Findings: Of 7973 patients, 1996 received ketamine; 4137 received a benzodiazepine; 1532 received an antipsychotic agent; and 308 received an indeterminant agent. Cardiac arrest occurred in 11 patients (0·1%) and any SAE occurred in 165 patients (2·1%). Invasive airway placement was more frequent with ketamine (40, 2·0%) compared with benzodiazepines (17, 0·4%) or antipsychotics (3, 0·2%). Oxygen desaturation below 75% also occurred more frequently with ketamine (51, 2·6%) than with benzodiazepines (52, 1·3%) or antipsychotics (14, 0·9%). Patients sedated with ketamine were less likely to require additional sedation. Propensity-matching to minimize potential confounding between patient condition, sedative choice and AEs did not meaningfully alter the results. Interpretation: Although SAEs were rare among patients receiving emergent prehospital sedation, prehospital clinicians should remain mindful of the potential risks and monitor patients closely. Funding: None.

Linking Emergency Medical Services and Emergency Department Data to Improve Overdose Surveillance in North Carolina.

INTRODUCTION: Linking emergency medical services (EMS) data to emergency department (ED) data enables assessing the continuum of care and evaluating patient outcomes. We developed novel methods to enhance linkage performance and analysis of EMS and ED data for opioid overdose surveillance in North Carolina. METHODS: We identified data on all EMS encounters in North Carolina during January 1-November 30, 2017, with documented naloxone administration and transportation to the ED. We linked these data with ED visit data in the North Carolina Disease Event Tracking and Epidemiologic Collection Tool. We manually reviewed a subset of data from 12 counties to create a gold standard that informed developing iterative linkage methods using demographic, time, and destination variables. We calculated the proportion of suspected opioid overdose EMS cases that received International Classification of Diseases, Tenth Revision, Clinical Modification diagnosis codes for opioid overdose in the ED. RESULTS: We identified 12 088 EMS encounters of patients treated with naloxone and transported to the ED. The 12-county subset included 1781 linkage-eligible EMS encounters, with historical linkage of 65.4% (1165 of 1781) and 1.6% false linkages. Through iterative linkage methods, performance improved to 91.0% (1620 of 1781) with 0.1% false linkages. Among statewide EMS encounters with naloxone administration, the linkage improved from 47.1% to 91.1%. We found diagnosis codes for opioid overdose in the ED among 27.2% of statewide linked records. PRACTICE IMPLICATIONS: Through an iterative linkage approach, EMS-ED data linkage performance improved greatly while reducing the number of false linkages. Improved EMS-ED data linkage quality can enhance surveillance activities, inform emergency response practices, and improve quality of care through evaluating initial patient presentations, field interventions, and ultimate diagnoses.

Initial prehospital Rapid Emergency Medicine Score (REMS) to predict outcomes for COVID-19 patients.

OBJECTIVE: The Rapid Emergency Medicine Score (REMS) has not been widely studied for use in predicting outcomes of COVID-19 patients encountered in the prehospital setting. This study aimed to determine whether the first prehospital REMS could predict emergency department and hospital dispositions for COVID-19 patients transported by emergency medical services. METHODS: This retrospective study used linked prehospital and hospital records from the ESO Data Collaborative for all 911-initiated transports of patients with hospital COVID-19 diagnoses from July 1 to December 31, 2020. We calculated REMS with the first recorded prehospital values for each component. We calculated area under the receiver operating curve (AUROC) for emergency department (ED) mortality, ED discharge, hospital mortality, and hospital length of stay (LOS). We determined optimal REMS cut-points using test characteristic curves. RESULTS: Among 13,830 included COVID-19 patients, median REMS was 6 (interquartile range [IQR]: 5-9). ED mortality was <1% (n = 80). REMS ≥9 predicted ED death (AUROC 0.79). One-quarter of patients (n = 3,419) were discharged from the ED with an optimal REMS cut-point of ≤5 (AUROC 0.72). Eighteen percent (n = 1,742) of admitted patients died. REMS ≥8 optimally predicted hospital mortality (AUROC 0.72). Median hospital LOS was 8.3 days (IQR: 4.1-14.8 days). REMS ≥7 predicted hospitalizations ≥3 days (AUROC 0.62). CONCLUSION: Initial prehospital REMS was modestly predictive of ED and hospital dispositions for patients with COVID-19. Prediction was stronger for outcomes more proximate to the first set of emergency medical services (EMS) vital signs. These findings highlight the potential value of first prehospital REMS for risk stratification of individual patients and system surveillance for resource planning related to COVID-19.

Disparities in Emergency Medical Services Time Intervals for Patients with Suspected Acute Coronary Syndrome: Findings from the North Carolina Prehospital Medical Information System.

Background Timely emergency medical services (EMS) response, management, and transport of patients with suspected acute coronary syndrome (ACS) significantly reduce delays to emergency treatment and improve outcomes. We evaluated EMS response, scene, and transport times and adherence to proposed time benchmarks for patients with suspected ACS in North Carolina from 2011 to 2017. Methods and Results We conducted a population-based, retrospective study with the North Carolina Prehospital Medical Information System, a statewide electronic database of all EMS patient care reports. We analyzed 2011 to 2017 data on patient demographics, incident characteristics, EMS care, and county population density for EMS-suspected patients with ACS, defined as a complaint of chest pain or suspected cardiac event and documentation of myocardial ischemia on prehospital ECG or prehospital activation of the cardiac care team. Descriptive statistics for each EMS time interval were computed. Multivariable logistic regression was used to quantify relationships between meeting response and scene time benchmarks (11 and 15 minutes, respectively) and prespecified covariates. Among 4667 patients meeting eligibility criteria, median response time (8 minutes) was shorter than median scene (16 minutes) and transport (17 minutes) time. While scene times were comparable by population density, patients in rural (versus urban) counties experienced longer response and transport times. Overall, 62% of EMS encounters met the 11-minute response time benchmark and 49% met the 15-minute scene time benchmark. In adjusted regression analyses, EMS encounters of older and female patients and obtaining a 12-lead ECG and venous access were independently associated with lower adherence to the scene time benchmark. Conclusions Our statewide study identified urban-rural differences in response and transport times for suspected ACS as well as patient demographic and EMS care characteristics related to lower adherence to scene time benchmark. Strategies to reduce EMS scene times among patients with ACS need to be developed and evaluated.

Out-of-Hospital Ketamine: Indications for Use, Patient Outcomes, and Associated Mortality.

STUDY OBJECTIVE: To describe out-of-hospital ketamine use, patient outcomes, and the potential contribution of ketamine to patient death. METHODS: We retrospectively evaluated consecutive occurrences of out-of-hospital ketamine administration from January 1, 2019 to December 31, 2019 reported to the national ESO Data Collaborative (Austin, TX), a consortium of 1,322 emergency medical service agencies distributed throughout the United States. We descriptively assessed indications for ketamine administration, dosing, route, transport disposition, hypoxia, hypercapnia, and mortality. We reviewed cases involving patient death to determine whether ketamine could be excluded as a potential contributing factor. RESULTS: Indications for out-of-hospital ketamine administrations in our 11,291 patients were trauma/pain (49%; n=5,575), altered mental status/behavioral indications (34%; n=3,795), cardiovascular/pulmonary indications (13%; n=1,454), seizure (2%; n=248), and other (2%; n=219). The highest median dose was for altered mental status/behavioral indications at 3.7 mg/kg (interquartile range, 2.2 to 4.4 mg/kg). Over 99% of patients (n=11,274) were transported to a hospital. Following ketamine administration, hypoxia and hypercapnia were documented in 8.4% (n=897) and 17.2% (n=1,311) of patients, respectively. Eight on-scene and 120 in-hospital deaths were reviewed. Ketamine could not be excluded as a contributing factor in 2 on-scene deaths, representing 0.02% (95% confidence interval 0.00% to 0.07%) of those who received out-of-hospital ketamine. Among those with in-hospital data, ketamine could not be excluded as a contributing factor in 6 deaths (0.3%; 95% confidence interval 0.1% to 0.7%). CONCLUSION: In this large sample, out-of-hospital ketamine was administered for a variety of indications. Patient mortality was rare. Ketamine could not be ruled out as a contributing factor in 8 deaths, representing 0.07% of those who received ketamine.

Initial Prehospital Rapid Emergency Medicine Score (REMS) as a Predictor of Patient Outcomes.

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.

The Cincinnati Prehospital Stroke Scale Compared to Stroke Severity Tools for Large Vessel Occlusion Stroke Prediction.

BACKGROUND: 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). METHODS: 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. RESULTS: 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. CONCLUSIONS: 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.

COVID-19 Preliminary Case Series: Characteristics of EMS Encounters with Linked Hospital Diagnoses.

BACKGROUND: Few studies have examined the prehospital presentation, assessment, or treatment of patients diagnosed with coronavirus disease 2019 (COVID-19). The objective of this preliminary report is to describe prehospital encounters for patients with a COVID-19 hospital diagnosis and/or COVID-19 EMS suspicion versus those with neither a hospital diagnosis nor EMS suspicion of the disease. METHODS: This case series evaluated electronic patient care records from EMS agencies participating in a large national bi-directional data exchange. All records for 9-1-1 responses between March 1 and April 19, 2020, resulting in transport to a hospital, with at least one ICD-10 outcome returned via the data exchange were included. Hospital ICD-10 codes used to determine COVID-19 diagnoses included B97.2, B97.21, B97.29, B34.2, and U07.1. COVID-19 EMS suspicion was defined as a documented EMS primary or secondary impression of COVID-19, or indication of COVID-19 suspicion in the prehospital free-text narrative. Comparisons were stratified by COVID-19 hospital diagnosis and COVID-19 EMS suspicion. Descriptive and comparative statistics are presented. RESULTS: There were 84,540 EMS patient records with linked hospital ICD-10 codes included. Of those, 814 (1%) patients had a COVID-19 hospital diagnosis. Overall, COVID-19 EMS suspicion was documented for 3,204 (4%) patients. A COVID-19 EMS suspicion was documented for 636 (78%) of hospital diagnosed COVID-19 patients. Those with COVID-19 hospital diagnoses were more likely to present with tachycardia, tachypnea, hypoxia, and fever during the EMS encounter. EMS responses for patients diagnosed with COVID-19 were also more likely to originate from a skilled nursing/assisted living facility. EMS PPE (eye protection, mask, or gown) use was more frequently documented on records of patients who had hospital diagnosed COVID-19. CONCLUSION: In this large sample of prehospital encounters, EMS COVID-19 suspicion demonstrated sensitivity of 78% and positive predictive value of 20% compared with hospital ICD-10 codes. These data indicate that EMS suspicion alone is insufficient to determine appropriate utilization of PPE.

The association of job demands and resources with burnout among emergency medical services professionals.

OBJECTIVE: Although burnout has been linked to negative workplace-level effects, prior studies have primarily focused on individuals rather than job-related characteristics. This study sought to evaluate variation in burnout between agencies and to quantify the relationship between burnout and job-related demands/resources among emergency medical services (EMS) professionals. METHODS: An electronic questionnaire was sent to all licensed, practicing EMS professionals in South Carolina. Work-related burnout was measured using the Copenhagen Burnout Inventory. Multivariable generalized estimating equations were used to estimate odds ratios (ORs) for specific job demands and resources while adjusting for confounding variables. Composite scores were used to simultaneously assess the relationship between burnout and job-related demands and resources. RESULTS: Among 1271 EMS professionals working at 248 EMS agencies, the median agency-level burnout was 35% (interquartile range [IQR]: 13% to 50%). Job-related demands, including time pressure, were associated with increased burnout. Traditional job-related resources, including pay and benefits, were associated with reduced burnout. Less tangible job resources, including autonomy, clinical performance feedback, social support, and adequate training demonstrated strong associations with reduced burnout. EMS professionals facing high job demands and low job resources demonstrated nearly a 10-fold increase in odds of burnout compared with those exposed to low demands and high resources (adjusted OR [aOR]: 9.50, 95% confidence interval [CI]: 6.39-14.10). High job resources attenuated the impact of high job demands. CONCLUSION: The proportion of EMS professionals experiencing burnout varied substantially across EMS agencies. Job resources, including those reflective of organizational culture, were associated with reduced burnout. Collectively, these findings suggest an opportunity to address burnout at the EMS agency level.

Neurotoxicity by mercury is not associated with autism spectrum disorders in Spanish children.

BACKGROUND: The pathophysiological etiologies related with the development of Autism Spectrum Disorders (ASD) remain controversial. Different authors have studied neurotoxins such as mercury (Hg) and their relationship with ADS. The objective of this study was to assess the levels of Hg in hair in a group of ASD children (chronic exposure) and in urinary excretion (acute exposure), in comparison to a healthy group. METHODS: A case-control study was conducted in Spanish children. We compared 54 ASD children (aged 2-6) with no other associated pathology to a normally-developing control group (54 subjects). RESULTS: There were no differences in urine (p:0.631) and hair (p:1.000) samples percentages below the limits of detection between the control and the ASD groups, and also between patients in the regression ASD subgroup (AMR) (p:0.08) and the non-regression ASD subgroup (ANMR) (p:0.705). When the analysis was adjusted for age and sex, the differences between Hg levels maintained not significant. There were no correlations between Hg concentrations in the ASD group as a whole (p: 0.739), or when they were subdivided into ASD-AMR (p: 0.739) and ASD-ANMR (p: 0.363). CONCLUSIONS: The present study shows no evidence in our geographical area to support an association between mercury neurotoxicity and the etiopathogenesis of ASD.

Emergency Medical Services Time Intervals for Acute Chest Pain in the United States, 2015-2016.

Background: Chest pain is a leading complaint in emergency settings. Timely emergency medical services (EMS) responses can reduce delays to treatment and improve clinical outcomes for acute myocardial infarction patients and other medical emergencies. We investigated national-level EMS response, scene, and transport times for acute chest pain patients in the United States. Methods: A retrospective analysis was performed using 2015-2016 data from the National EMS Information System (NEMSIS). Eligible patients were identified as having a provider impression of chest pain or discomfort and not due to trauma or resulting in cardiac arrest during EMS care. Descriptive analyses of prehospital time intervals and patient-, response-, and system-level covariates were performed. Multivariable logistic regression was used to measure associations between meeting response and scene time benchmarks (8-min and 15-min, respectively) and covariates. Results: Our study identified 1,672,893 eligible EMS encounters of chest pain. Patients had a mean age of 63.1 years (SD = 14.8). The population was evenly distributed by sex (51% male; 49% female). Most encounters occurred in home or residence (58%) and had lights and sirens response to scene (84%). Most encounters were in urban areas (78%). The median (interquartile range, IQR) response time was 7 (5-10) minutes. The median (IQR) scene time was 16 (12-20) minutes. The median (IQR) transport time was 13 (8-20) minutes. Generally, median response and transport times were longer in rural and frontier areas compared to urban and suburban areas. Only 65% and 49% met the 8-min response and 15-min scene time benchmarks. Responding with lights and sirens was associated with greater compliance with EMS response time benchmark. EMS care of older age groups and females was less likely to meet the scene time benchmark. Conclusions: Substantial proportions of EMS encounters for chest pain did not meet response and scene time benchmarks. Regional and urban-rural differences were observed in adherence with the response time benchmark. Our findings also suggest age and gender disparities in on-scene delays by EMS. Our study contributes important evidence on timely EMS responses for cardiac chest pain and provides suggestions for EMS system benchmarking and quality improvement.

A Statewide Assessment of Prehospital Electrocardiography Approaches of Acquisition and Interpretation for ST-Elevation Myocardial Infarction Based on Emergency Medical Services Characteristics.

Background: The American Heart Association recommends acquiring and interpreting prehospital electrocardiograms (ECG) for patients transported by Emergency Medical Services (EMS) to the emergency department with symptoms highly suspicious of acute coronary syndrome. If interpreted correctly, prehospital ECGs have the potential to improve early detection of ST-elevation myocardial infarction (STEMI) and inform prehospital activation of the cardiac catheterization laboratory, thus reducing total ischemic time and improving patient outcomes. Standardized protocols for prehospital ECG interpretation methods are lacking due to variations in EMS system design, training, and procedures. Objectives: We aimed to describe approaches for prehospital ECG interpretation in EMS systems across North Carolina (NC), and examine potential differences among systems. Methods: A 35-item internet survey was sent to all NC EMS systems (n = 99). Questions pertaining to prehospital ECG interpretation methods included: paramedic, computerized algorithm (i.e., software interpretation), combined approaches, and/or transmission for physician interpretation, transmission capability, cardiac catheterization laboratory activation, and EMS system characteristics (e.g. rural versus urban). Data were summarized and compared. Results: A total of 96 EMS systems across NC responded to the survey (97% response rate); of these, 69% were rural. EMS medical directors (53%) or EMS administrative directors (42%) completed the majority of surveys. While 91% of EMS systems had a prehospital ECG interpretation protocol in place, only 61% had a written cardiac catheterization laboratory activation policy. More than half (55%) of systems reported paramedic interpretation of prehospital ECGs, followed by a combined paramedic and software interpretation approach (39%), physician interpretation (4%), or software interpretation only approach (2%). Nearly 80% of EMS systems transmitted prehospital ECGs to receiving hospitals (always or sometimes), regardless of interpretation method. All EMS systems had some paid versus non-paid EMS personnel and the majority (86%) had both basic and advanced life support capabilities. Conclusions: Most NC EMS systems had a paramedic only ECG interpretation or paramedic in combination with a computerized algorithm approach. Very few used a physician read approach following transmission, even in rural service areas.