Prehospital Ultrasound: Nationwide Incidence from the NEMSIS Database.

OBJECTIVE: We sought to describe prehospital ultrasound (PHUS) use and trends in PHUS utilization over time using a national database. METHODS: Using the 2018 - 2021 National Emergency Medical Services Information System databases, we identified those EMS activations where PHUS was performed. We evaluated the association between year and number of PHUS exams performed using univariable and multivariable regression analysis. Analysis was performed on the overall group and various subgroups. RESULTS: In total, there were 148,709,000 EMS activations by 13,899 agencies over the 4 years. Of these, 3,291 unique activations (0.002%) involved PHUS, performed by 71 EMS agencies (0.5%). The annual rate of ultrasound evaluations per 1 million EMS activations significantly increased over the study period: 5.2 in 2018, 14.8 in 2019, 18.6 in 2020, and 38.9 in 2021 (p < 0.01). The number of agencies performing PHUS each year increased over the study period from 11 in 2018 to 54 in 2021 (p < 0.05). Each year after 2018 had an increased odds of PHUS use demonstrated with logistic regression (p < 0.01). PHUS was used in each US census region, and paramedics performed most of the PHUS exams (75.5%). We identified 1,060 out-of-hospital cardiac arrest, 820 trauma, and 427 respiratory PHUS cases. These three cohorts accounted for 70.1% of all PHUS cases. CONCLUSION: Prehospital ultrasound use in the United States increased significantly over the study period, but remains exceedingly rare. The performance of PHUS was recorded throughout the United States, with paramedics performing the majority of PHUS studies included in this database.

Beyond scale-free networks: integrating multilayer social networks with molecular clusters in the local spread of COVID-19.

This study evaluates the scale-free network assumption commonly used in COVID-19 epidemiology, using empirical social network data from SARS-CoV-2 Delta variant molecular local clusters in Houston, Texas. We constructed genome-informed social networks from contact and co-residence data, tested them for scale-free power-law distributions that imply highly connected hubs, and compared them to alternative models (exponential, log-normal, power-law with exponential cutoff, and Weibull) that suggest more evenly distributed network connections. Although the power-law model failed the goodness of fit test, after incorporating social network ties, the power-law model was at least as good as, if not better than, the alternatives, implying the presence of both hub and non-hub mechanisms in local SARS-CoV-2 transmission. These findings enhance our understanding of the complex social interactions that drive SARS-CoV-2 transmission, thereby informing more effective public health interventions.

Pediatric firearm injury epidemiology at a level 1 trauma center from 2019 to 2021: including time of the COVID-19 pandemic.

BACKGROUND: Firearms are a leading cause of death in children. The demand for firearms increased following COVID-19 "stay-at home orders" in March 2020, resulting in record-breaking firearm sales and background checks. We aim to describe the changes in pediatric firearm-related injuries, demographics, and associated risk factors at a Level 1 trauma center in Houston before and during the COVID 19 pandemic. RESULTS: The total number of pediatric firearm-related injury cases increased during March 15th to December 31st, 2020 and 2021 compared to the same time period in 2019 (104 verses 89 verses 78). The demographic group most affected across years were males (87% in 2019 vs 82% in 2020 and 87% in 2021) between 14 and 17 years old (83% in 2019 vs 81% in 2020 and 76% in 2021). There was an increase in firearm injuries among black youth across all years (28% in 2019 vs 41% in 2020 vs 49% in 2021). Injuries in those with mental illness (10% in 2019 vs 24% in 2020 vs 17% in 2021), and injuries where the shooter was a known family member or friend (14% in 2019 vs 18% in 2020 vs. 15% in 2021), increased from 2019 to 2020. CONCLUSION: The total number of pediatric firearm-related injuries increased during the COVID-19 pandemic compared to the previous year despite a decline in overall pediatric emergency department visits. Increases in pediatric firearm-related injuries in already vulnerable populations should prompt further hospital initiatives including counseling on safe firearm storage, implementation of processes to identify children at risk for firearm injuries, and continued research to mitigate the risk of injury and death associated with firearms in our community.

National trends in prehospital penetrating trauma in 2020 and 2021.

OBJECTIVE: Prior studies identified increased penetrating trauma rates during the earlier phase of the COVID-19 pandemic, but there is limited study of penetrating trauma rates in 2021 or at a national level. We evaluated trends in prehospital encounters for penetrating trauma in 2020 and 2021 using a national database. METHODS: We conducted a retrospective analysis of the National Emergency Medicinal Services (EMS) Information System (NEMSIS) combined 2018-2021 databases of prehospital encounters. We calculated penetrating trauma yearly and monthly rates with 95% confidence; both overall and for each census region. We compared trauma rates in 2020 and 2021 to combined 2018/2019. RESULTS: There were 67,457 (rate of 0.30%) penetrating traumas in 2018, 86,054 (0.30%) in 2019, 95,750 (0.37%) in 2020, and 98,040 (0.34%) in 2021. Nationally, trauma rates were higher from March 2020 to July 2021 than baseline. Penetrating trauma rates from May-December 2021 were lower than May-December of 2020. All census regions similarly had increased trauma rates during from March 2020 to July 2021. CONCLUSION: We identified elevated rates of trauma on 2020 that lasted until July of 2021 that was present in all US census regions.

Non-homogeneous continuous-time Markov chain with covariates: Applications to ambulatory hypertension monitoring.

Hypertension significantly increases the risk for many health conditions including heart disease and stroke. Hypertensive patients often have continuous measurements of their blood pressure to better understand how it fluctuates over the day. The continuous-time Markov chain (CTMC) is commonly used to study repeated measurements with categorical outcomes. However, the standard CTMC may be restrictive, because the rates of transitions between states are assumed to be constant through time, while the transition rates for describing the dynamics of hypertension are likely to be changing over time. In addition, the applications of CTMC rarely account for the effects of other covariates on state transitions. In this article, we considered a non-homogeneous continuous-time Markov chain with two states to analyze changes in hypertension while accounting for multiple covariates. The explicit formulas for the transition probability matrix as well as the corresponding likelihood function were derived. In addition, we proposed a maximum likelihood estimation algorithm for estimating the parameters in the time-dependent rate function. Lastly, the model performance was demonstrated through both a simulation study and application to ambulatory blood pressure data.

Time to Antiarrhythmic and Association with Return of Spontaneous Circulation in the United States.

INTRODUCTION: Recent clinical trials have failed to identify a benefit of antiarrhythmic administration during cardiac arrest. However, little is known regarding the time to administration of antiarrhythmic drugs in clinical practice or its impact on return of spontaneous circulation (ROSC). We utilized a national EMS registry to evaluate the time of drug administration and association with ROSC. METHODS: We utilized the 2018 and 2019 NEMSIS datasets, including all non-traumatic, adult 9-1-1 EMS activations for cardiac arrests with initial shockable rhythm and that received an antiarrhythmic. We calculated the time from 9-1-1 call to administration of antiarrhythmic. We excluded cases with erroneous time stamps. Stratified by initial antiarrhythmic (amiodarone and lidocaine), we created a mixed-effect logistic regression model evaluating the association between every 5-minute increase in time to antiarrhythmic and ROSC. We modeled EMS agency as a random intercept and adjusted for confounders. RESULTS: There were 449,630 adults, non-traumatic cardiac arrests identified with 11,939 meeting inclusion criteria. 9,236 received amiodarone and 1,327 received lidocaine initially. The median time in minutes to initial dose for amiodarone was 19.9 minutes (IQR 15.8-25.6) and for lidocaine was 19.5 minutes (IQR 15.2-25.4). Increasing time to initial antiarrhythmic was associated with decreased odds of ROSC for both amiodarone (aOR 0.9; 95% CI 0.9-0.94) and lidocaine (aOR 0.9; 95% CI 0.8-0.97). CONCLUSION: Time to administration of anti-arrhythmic medication varied, but most patients received the first dose of anti-arrhythmic drug more than 19 minutes after the initial 9-1-1 call. Longer time to administration of an antiarrhythmic in patients with an initial shockable rhythm was associated with decreased ROSC rates.

Fast does not imply flawed: Analyzing emergency physician productivity and medical errors.

Objective: To determine whether emergency physician productivity is associated with the risk of medical errors. Methods: We retrospectively analyzed quality assurance (QA) and billing data over 3 years at 2 urban emergency departments. Faculty physicians working 400 hours or more at either site were included. We measured physician years of experience, age, gender, patients seen per hour (PPH), and relative value units billed per hour (RVU/h). From an established QA process, we obtained adjudicated medical errors to calculate rates of medical errors per 1000 patients seen as the outcome. We discretized numeric variables and used Kruskal-Wallis testing to examine relationships between independent variables and rates of medical errors. Results: We included data for 39 physicians at site A and 42 at site B. The median rate of errors per 1000 patients was 1.6 (interquartile range [IQR], 1.1-1.9) at site A and 3.3 (IQR, 2.4-3.9) at site B. At site A, RVU/h was associated with error rates (P = 0.03), with medians of 2.0, 1.2, 1.7, and 1.3 errors per 1000 patients, from slowest to fastest quartiles. At site B, PPH was associated with error rates (P < 0.01), with medians of 3.9, 3.7, 2.4, and 2.7 errors per 1000 patients, from slowest to fastest quartiles. There was no significant relationship between error rates and PPH at site A or RVU/h at site B. Conclusions: Rates of medical errors were associated with 1 metric of physician productivity at each site, with higher error rates seen among physicians with slower productivity.

Racial/ethnic and gender disparities of the impact of the COVID-19 pandemic in out-of-hospital cardiac arrest (OHCA) in Texas.

INTRODUCTION: Prior research shows a greater disease burden, lower BCPR rates, and worse outcomes in Black and Hispanic patients after OHCA. Female OHCA patients have lower rates of BCPR compared to men and other survival outcomes vary. The influence of the COVID-19 pandemic on OHCA incidence and outcomes in different health disparity populations is unknown. METHODS: We used data from the Texas Cardiac Arrest Registry to Enhance Survival (CARES). We determined the association of both prehospital characteristics and survival outcomes with the pandemic period in each study group through Pearson's χ2 test or Fisher's exact tests. We created mixed multivariable logistic regression models to compare odds of cardiac arrest care and outcomes between 2019 and 2020 for the study groups. RESULTS: Black OHCA patients (aOR = 0.73; 95% CI: 0.65 - 0.82) had significantly lower odds of BCPR compared to White OHCA patients, were less likely to achieve ROSC (aOR = 0.86; 95% CI: 0.74 - 0.99) or have a good CPC score (aOR = 0.47; 95% CI: 0.29 - 0.75). Compared to White patients with OHCA, Hispanic persons were less likely to have a field TOR (aOR = 0.86; 95% CI: 0.75 - 0.99) or receive BCPR (aOR = 0.78; 95% CI: 0.69 - 0.87). Female OHCA patients had higher odds of surviving to hospital admission compared to males (aOR = 1.29; 95% CI: 1.15 - 1.44). CONCLUSION: Many OHCA outcomes worsened for Black and Hispanic patients. While some aspects of care worsened for women, their odds of survival improved compared to males.

Updated estimates of sepsis hospitalizations at United States academic medical centers.

Objective: Sepsis is a major public health problem. Understanding the epidemiology of sepsis subtypes is important to quantify the magnitude of the problem and identify targets for system wide treatment strategies. We sought to describe the current national epidemiology of community-acquired (CAS), hospital-acquired (HAS) and healthcare-associated sepsis (HCAS) hospitalizations among academic medical centers in the United States using current discharge diagnosis taxonomies. Methods: Retrospective analysis of patient discharge data from the Vizient Clinical Data Base/Resource Manager. We identified sepsis hospitalizations using four ICD-10 coding strategies: (1) "Martin" sepsis codes (21 ICD-10 codes), (2) "Angus" sepsis codes (ICD-10 infection + ICD-10 organ dysfunction), (3) Medicare "SEP-1" codes (28 ICD-10 codes), and (4) "explicit sepsis" codes (ICD-10 R65.20 and R65.21). Using present-on-admission flags for each diagnosis, we also distinguished: (1) community-acquired sepsis (CAS), (2) hospital-acquired sepsis (HAS), and (3) healthcare associated sepsis (HCAS). Results: Among 22,655,240 hospitalizations, the number and incidence of sepsis hospitalizations were: (1) Martin (n = 1,718,257, 75.8 per 1000 hospitalizations), (2) Angus (n = 2,749,163, 121.3 per 1000), (3) SEP-1 (n = 1,624,909, 71.7 per 1000), and (4) explicit sepsis (n = 655,853, 28.9 per 1000). CAS was the most common sepsis subtype. HAS exhibited higher adjusted mortality than CAS. ICU admission was highest for HAS (Martin, 1.5%; Angus, 1.5%; SEP-1, 1.6%; Explicit, 1.9%). Conclusions: These results illustrate the prevalence of sepsis at US academic medical centers using the most current sepsis classification taxonomies and discharge diagnosis codes. These results highlight important considerations when using hospital discharge data to characterize the epidemiology of sepsis.

Computed Tomography of the Chest in Younger Pediatric Patients with Thoracic Blunt Trauma Rarely Changes Surgical Management.

INTRODUCTION: Thoracic trauma is the second leading cause of death after traumatic brain injury in children presenting with blunt chest trauma, which represents 80% of thoracic trauma in children. We hypothesized that older children undergo more clinical and surgical changes in management than younger children screened for intrathoracic injury at a single, urban, pediatric Level I trauma center. METHODS: In this retrospective observational study, we determined the frequencies and types of lesions diagnosed only by chest computed tomography (CCT) and resulting changes of clinical and surgical management among different age groups in a pediatric cohort examined for blunt trauma with chest radiograph and CCT. We used logistic regression to quantify variations in CCT diagnoses and changes in clinical and surgical management across age groups. For each age category, we determined the odds ratio for diagnosis made only on CCT and subsequent changes in all clinical management and, specifically, surgical management. We performed the test of trend to determine the relationship across age with changes in management resulting from additional diagnoses made by CCT. RESULTS: We analyzed data on 1,235 patients screened for intrathoracic injury. We found the following overall clinical management and surgical management changes, respectively, per age group: 0-2 years, 5/128 (3.9) and 0/128 (0.0); 3-6 years, 11/212 (5.2) and 1/212 (0.5); 7-10 years, 16/175 (9.1) and 2/175 (1.1); 11-13 years, 17/188 (9.0) and 3/188 (1.6); 14-17 years, 58/532 (10.9) and 25/532 (4.7). There were no observed surgical management changes in the 0-2 age group and, thus, no estimated odds ratio could be calculated. The adjusted odds ratios for the occurrence of surgical change in management (14-17 age group as reference) was 0.1 (0.0-0.9) for 3-6 years, 0.3 (0.1-1.3) for 7-10 years, and 0.3 (0.1-1.1) for 11-13 years. The trend of odds ratios across ages showed that with every subsequent year of life there was a 10% increase in management change and a 30% increase in surgical management change. CONCLUSION: Chest computed tomography plays a limited role in younger children and seldom significantly changes management albeit making additional diagnoses.

Emergency department visits for hemodialysis by insurance status in the United States.

Objective: Many uninsured patients with end-stage kidney disease (ESKD) depend upon the emergency department (ED) for hemodialysis (HD). We sought to characterize ED visits for emergent HD by insurance status. Methods: We performed a cross-sectional analysis of the 2017 Nationwide Emergency Department Sample, including ED visits by patients ≥18 years old with a length of stay ≤1 day and performance of HD. Insurance status determined by "insured" as Medicare, Medicaid, or commercial and "uninsured" as self-pay or charity. Results: Of 118,034,396 adult ED visits, 235,988 were associated with HD: uninsured 62,503 (incidence 5.30 per 10,000, 95% confidence interval [CI]: 5.26-5.34) and insured 172,889 (incidence 14.65 per 10,000, 95% CI: 14.60-14.74). The south census region accounted for 89% of uninsured ED HD (odds ratio [OR] 31.55, 95% CI: 8.97-110.97). Compared to insured patients, uninsured ED HD patients were more likely to be younger (age 18-44, 37.6% vs 19.9%). The most common primary diagnosis for uninsured and insured ED HD patients was hypertensive chronic kidney disease (34.6% and 26.2%, respectively). Uninsured ED HD patients were less likely to be admitted (3.4% vs 36.0%, OR 0.06, 95% CI: 0.02-0.20). Most ED HD patients were discharged home (95.2% uninsured vs 57.6% insured). ED charges per visit were $5,992.32 for uninsured and $10,985.87 for insured ED HD patients. Conclusions: Our findings highlight the health care burden of ED HD. Novel system approaches are needed for the management of uninsured and insured patients with ESKD.

The impact of COVID-19 on incidence and outcomes from out-of-hospital cardiac arrest (OHCA) in Texas.

INTRODUCTION: Emerging research demonstrates lower rates of bystander cardiopulmonary resuscitation (BCPR), public AED (PAD), worse outcomes, and higher incidence of OHCA during the COVID-19 pandemic. We aim to characterize the incidence of OHCA during the early pandemic period and the subsequent long-term period while describing changes in OHCA outcomes and survival. METHODS: We analyzed adult OHCAs in Texas from the Cardiac Arrest Registry to Enhance Survival (CARES) during March 11-December 31 of 2019 and 2020. We stratified cases into pre-COVID-19 and COVID-19 periods. Our prehospital outcomes were bystander cardiopulmonary resuscitation (BCPR), public AED use (PAD), sustained ROSC, and prehospital termination of resuscitation (TOR). Our hospital survival outcomes were survival to hospital admission, survival to hospital discharge, good neurological outcomes (CPC Score of 1 or 2) and Utstein bystander survival. We created a mixed effects logistic regression model analyzing the association between the pandemic on outcomes, using EMS agency as the random intercept. RESULTS: There were 3619 OHCAs (45.0% of overall study population) in 2019 compared to 4418 (55.0% of overall study population) in 2020. Rates of BCPR (46.2% in 2019 to 42.2% in 2020, P < 0.01) and PAD (13.0% to 7.3%, p < 0.01) decreased. Patient survival to hospital admission decreased from 27.2% in 2019 to 21.0% in 2020 (p < 0.01) and survival to hospital discharge decreased from 10.0% in 2019 to 7.4% in 2020 (p < 0.01). OHCA patients were less likely to receive PAD (aOR = 0.5, 95% CI [0.4, 0.8]) and the odds of field termination increased (aOR = 1.5, 95% CI [1.4, 1.7]). CONCLUSIONS: Our study adds state-wide evidence to the national phenomenon of long-term increased OHCA incidence during COVID-19, worsening rates of BCPR, PAD use and survival outcomes.

Procainamide for shockable rhythm cardiac arrest in the Resuscitation Outcome Consortium.

BACKGROUND: With recent negative studies of amiodarone and lidocaine for cardiac arrest, research into other antiarrhythmics is warranted. Literature on procainamide in cardiac arrest is limited. We evaluated procainamide for out-of-hospital cardiac arrests (OHCA) from the Resuscitation Outcomes Consortium (ROC). METHODS: We included all ROC Epistry 3 OHCAs with an initial shockable rhythm that received an antiarrhythmic. We stratified cases by antiarrhythmic: procainamide, amiodarone, or lidocaine. The outcomes were prehospital return of spontaneous circulation (ROSC), ROSC in the ED, and survival to hospital discharge. We defined propensity scores based on possible confounders utilizing 1:1 propensity score matching to compare procainamide to amiodarone and lidocaine. We analyzed the matched data using logistic regression. We also used multivariable logistic regression to evaluate the association between antiarrhythmic and outcomes. RESULTS: 3087 subjects met inclusion criteria; 51 patients received only procainamide, 1776 received amiodarone, and 1418 received lidocaine. On propensity score analysis and compared to procainamide, amiodarone had similar prehospital ROSC (OR 0.7, 95% CI 0.3-1.8), ED ROSC (OR 0.6, 95% CI 0.3-1.3), and survival (OR 1.0, 95% CI 0.3-3.1). Lidocaine also had a similar prehospital ROSC (OR 0.9, 95% CI 0.4-2.2), ED ROSC (OR 1.2, 95% CI 0.5-2.7), and survival (OR 1.4, 95% CI 0.5-4.0). However, using multivariable regression, amiodarone had lower prehospital ROSC than procainamide (aOR 0.3, 95% CI 0.1-0.6). CONCLUSIONS: While associated with increased prehospital ROSC when compared with amiodarone using multivariable regression, procainamide otherwise had similar prehospital ROSC, ED ROSC, and survival. The role of procainamide in OHCA remains unclear.

Epidemiology of out-of-hospital pediatric airway management in the 2019 national emergency medical services information system data set.

OBJECTIVE: Airway management is an important priority in the care of critically ill children. We sought to provide updated estimates of the epidemiology of pediatric out-of-hospital airway management and ventilation interventions in the United States. METHODS: We used data from the 2019 National Emergency Medical Services Information System (NEMSIS) data set. We performed a descriptive analysis of all patients < 18 years receiving one or more of the following: bag-valve-mask ventilation (BVM), tracheal intubation (TI), supraglottic airway (SGA) insertion, continuous positive airway pressure (CPAP), bilevel positive airway pressure (BiPAP) and surgical airway placement. We determined success and complication rates for each airway procedure. RESULTS: Among 1,148,943 pediatric patient care encounters, airway and ventilation interventions occurred in 22,637 (1,970 per 100,000 pediatric Emergency Medical Services (EMS) activations), including 64% <11 years old, 56.1% male, 16.9% cardiac arrest, 16.6% injured, and 83.9% in urban areas. Airway interventions included: BVM 3,997 (17.7% of pediatric airway encounters), TI 3,165 (14.0%), SGA 582 (2.6%), CPAP/BiPAP 331 (1.5%) and surgical airway 29 (0.1%). TI success was 75.2% (95% CI 73.7-76.7%) and lowest for the 0-1 month age group (56.8%; 49.2-64.2%). SGA success was 88.0% (95% CI 85.1-90.6%). Vomiting was the most common airway complication (n = 223, 1%). CONCLUSIONS: BVM and advanced airway management occur in 1 of every 51 pediatric EMS encounters. BVM is the most commonly prehospital pediatric airway management technique, followed by TI and SGA insertion. These data provide contemporary perspectives of pediatric prehospital airway management.

Community Variations in Out-of-Hospital Cardiac Arrest Care and Outcomes in Texas.

Background: Large and unacceptable variation exists in cardiac resuscitation care and outcomes across communities. Texas is the second most populous state in the US with wide variation in community and emergency response infrastructure. We utilized the Texas-CARES registry to perform the first Texas state analysis of out-of-hospital cardiac arrest (OHCA) in Texas, evaluating for variations in incidence, care, and outcomes.Methods: We analyzed the Texas-CARES registry, including all adult, non-traumatic OHCAs from 1/1/2014 through 12/31/2018. We analyzed the incidence and characteristics of OHCA care and outcome, overall and stratified by community. Utilizing mixed models accounting for clustering by community, we characterized variations in bystander CPR, bystander AED in public locations, and survival to hospital discharge across communities, adjusting for age, gender, race, location of arrest, and rate of witnessed arrest (bystander and 911 responder witnessed).Results: There were a total of 26,847 (5,369 per year) OHCAs from 13 communities; median 2,762 per community (IQR 444-2,767, min 136, max 9161). Texas care and outcome characteristics were: bystander CPR (43.3%), bystander AED use (9.1%), survival to discharge (9.1%), and survival with good neurological outcomes (4.0%). Bystander CPR rate ranged from 19.2% to 55.0%, and there were five communities above and five below the adjusted 95% confidence interval. Bystander AED use ranged from 0% to 19.5%, and there was one community below the adjusted 95% confidence interval. Survival to hospital discharge ranged from 6.7% to 14.0%, and there were three communities above and two below the adjusted 95% confidence interval.Conclusion: While overall OHCA care and outcomes were similar in Texas compared to national averages, bystander CPR, bystander AED use, and survival varied widely across communities in Texas. These variations signal opportunities to improve OHCA care and outcomes in Texas.

Pediatric scapular fractures and associated injuries following blunt chest trauma.

BACKGROUND: Scapular fractures in the pediatric population are rare, and medical literature is lacking regarding these specific injuries in the pediatric population. Prior studies have shown that scapular fractures resulting from blunt chest trauma have been associated with significant morbidities in adults, and that a majority of scapular fractures are missed on chest X-ray (CXR) and seen on computerized tomography only (SOCTO). Further guidance is needed regarding the prevalence of coinciding injuries in the pediatric population and the modality for diagnosis. OBJECTIVES: The primary objectives of this study were to assess 1) the frequency of scapular fractures following blunt trauma in the pediatric cohort, 2) the frequency of other associated thoracic injuries, 3) the proportion on scapular fractures SOCTO. METHODS: We conducted a retrospective cohort study with data obtained from our study site's Trauma Registry. Patients under 18 years receiving both a CXR and chest CT following blunt trauma or any patient diagnosed with a scapular fracture by any modality from January 2009 to December 2019 were included. Primary outcome variables were the presence of a scapular fracture diagnosed by any modality, absence of scapular fracture, and scapular fractures SOCTO. Charts were also reviewed for the following concurring injuries: 1) contusion/atelectasis, 2) pneumothorax, 3) hemothorax, 4) rib fracture, 5) other fracture, 6) vascular injury, 7) mediastinal injury, 8) diaphragm rupture, 9) foreign body, 10) incidental finding. RESULTS: Of 12,826 charts of pediatric patients with blunt chest trauma, 1405 obtained both CXR and chest CT. Sixty (0.47%) were diagnosed with scapular fracture, and 48 (73.3%) of the fractures were SOCTO. The most commonly associated injuries were other fracture (88.3%), lung contusion/atelectasis (78.3%), pneumothorax (58.3%) and rib fracture (58.3%). Patients with scapular fractures had higher injury severity scores (ISS) and more frequently required surgery for other intrathoracic injuries. Only five patients required surgical management of the scapular fracture with the rest managed conservatively. CONCLUSION: Pediatric scapular fractures are rare and are often associated with other intrathoracic injury. A majority of scapula fractures are missed on CXR, but identification of the injury did not change management as most were treated conservatively.

Out-of-hospital, non-invasive, positive-pressure ventilation for acute dyspnea.

BACKGROUND: Emergency medical services (EMS) patients with acute dyspnea require prompt treatment. Limited data describe out-of-hospital dyspnea treatment with non-invasive, positive-pressure ventilation (NIPPV), including continuous positive airway pressure (CPAP) or bi-level positive air pressure (BPAP). We sought to determine the course and outcomes of out-of-hospital acute dyspnea patients treated with NIPPV. METHODS: We analyzed retrospective data on 1289 EMS agencies from the ESO Data Collaborative (ESO, Inc., Austin, TX) between January and December 2018. We defined acute dyspnea as adults with an initial respiratory rate ≥ 30 breaths/min (bpm), with a primary or secondary EMS subjective impression of a respiratory condition, who received oxygen and/or a respiratory medication and had 2 or more recordings of respiratory rate (RR). We excluded patients with trauma and those with altered mental status. We identified cases receiving care with and without NIPPV. The primary outcome was change in respiratory rate (RR), censored at 90 minutes of treatment. We compared baseline characteristics between NIPPV and non-NIPPV patients. We compared RR changes between NIPPV and non-NIPPV patients at 20 and 40 minutes of treatment. Using mixed linear, fractional polynomial, and multiple spline models, we examined the association of out-of-hospital NIPPV with overall change in RR. Secondary outcomes included whether the patient received advanced airway treatment (intubation, supraglottic airway device, and/or cricothyroidotomy). RESULTS: We analyzed 33,585 EMS encounters for patients with acute dyspnea, including 8,750 (26.1%) NIPPV and 24,835 (73.9%) non-NIPPV encounters. Median treatment duration was similar between NIPPV and non-NIPPV (23.3 minutes vs 23.6 minutes, rank-sum P = 0.266). Common concurrent treatments included albuterol (NIPPV, 48.8%; non-NIPPV, 46.2%), ipratropium bromide (27.9%, 24.8%), and methylprednisolone (24.9%, 18.5%). At 20 minutes, mean RR change was slightly lower for the NIPPV group than non-NIPPV; -6.0 versus -6.8 breaths/min. At 40 minutes, mean RR change was similar between NIPPV and non-NIPPV groups; -7.7 versus -7.9 breaths/min. On linear mixed modeling adjusted for age, sex, incident location, race, ethnicity, agency type, initial RR, and medication use, NIPPV was associated with a smaller RR decrease across time than NIPPV; [NIPPV × time] interaction P < 0.001. Out-of-hospital advanced airway placement (endotracheal intubation or supraglottic airway insertion) was higher for NIPPV than non-NIPPV group (2.3% vs 1.3%, odds ratio = 2.23, 95% confidence interval = 2.01-2.47). CONCLUSIONS: NIPPV has been proven to be an effective treatment for out-of-hospital patients experiencing acute dyspnea through prior studies. Our findings provide detailed insight into characteristics and use of NIPPV and highlight the commonality of this treatment modality with use in over 1 in 4 patients in respiratory distress.

Clinical characteristics and course of out-of-hospital shock in a national emergency medical services cohort.

BACKGROUND: Shock from medical and traumatic conditions can result in organ injury and death. Limited data describe out-of-hospital treatment of shock. We sought to characterize adult out-of-hospital shock care in a national emergency medical services (EMS) cohort. METHODS: This cross-sectional study used 2018 data from ESO, Inc. (Austin, TX), a national EMS electronic health record system, containing data from 1289 EMS agencies in the United States. We included adult (age ≥18 years) non-cardiac arrest patients with shock, defined as initial systolic blood pressure ≤80 mm Hg. We compared patient demographics, clinical characteristics, and response (defined as systolic blood pressure increase) between medical and traumatic shock patients, looking at systolic blood pressure trends over the first 90 minutes of care. RESULTS: Among 6,156,895 adult 911 responses, shock was present in 62,867 (1.02%; 95% confidence interval [CI] = 1.01%-1.03%); 54,239 (86.3%) medical and 5978 (9.5%) traumatic, and 2650 unknown. Medical was more common than traumatic shock in women and older patients. The most common injuries associated with traumatic shock were falls (37.6%) and motor vehicle crashes (18.7%). Mean initial and final medical systolic blood pressure were 71 ± 10 mm Hg and 99 ± 24 mm Hg. Systolic blood pressure increased in 88.8% and decreased or did not change in 11.0%. Mean initial and final trauma systolic blood pressure were 71 ± 13 mm Hg and 105 ± 28 mm Hg; systolic blood pressure increased in 90.4% and decreased/did not change in 9.6%. On fractional polynomial modeling, systolic blood pressure changes were greater and faster for trauma than medical shock. CONCLUSIONS: In this national series, 1 of every 100 EMS encounters involved shock. These findings highlight the current course and care of shock in the out-of-hospital setting.