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Introduction: Many stroke patients initially present to non-stroke center hospitals. However, the delivery of Emergency Department (ED)-based acute stroke care at smaller, non-academic (i.e., community) EDs is less well-described than for larger, academic hospitals. Hypothesis: There is wide variation in community EDs’ performance on acute stroke care delivery measures. Methods: This is a retrospective analysis of a cohort of stroke patients from EDs participating in the Emergency Quality Network (E-QUAL) stroke collaborative, a national stroke quality improvement project targeted to community EDs. Sites used ICD10 codes to identify ischemic stroke patients and submitted data using a web-based submission portal. EDs with data from at least 20 patients were included. For each site, we calculated median door-to-imaging (DTI), door-to-needle (DTN), and door-in-door-out (DIDO) times among transferred patients and ED length of stay (LOS) among admitted patients. We also determined the proportions of eligible patients arriving with 3.5 hours of last known well who received thrombolysis within 4.5 hours, of patients with documentation of severity assessment performance and of dysphagia screening. We used descriptive statistics to illustrate variation. Results: Of the 54 participating EDs, data were available for 45, and 28 included ≥ 20 patients. Of included EDs, median annual ED volume was 34,648 (IQR 21,250-47,120) and 40% were rural. Performance varied on DTI, DIDO among transferred patients, and LOS among admitted patients (Table). Performance was more consistent on documentation of severity assessment and dysphagia screening. Conclusions: Performance on stroke care delivery measures varied between these community EDs and data in the literature from larger hospitals that typically participate in national registries. Future efforts to improve emergency stroke care delivery should consider unique factors impacting care at smaller, community EDs.

Study objective Reporting systems are designed to identify patient care issues so changes can be made to improve safety. However, a culture of blame discourages event reporting, and reporting seen as punitive can inhibit individual and system performance in patient safety. This study aimed to determine the frequency and factors related to punitive patient safety event report submissions, referred to as Patient Safety Net reports, or PSNs. Methods Three subject matter experts reviewed 513 PSNs submitted between January and June 2019. If the PSN was perceived as blaming an individual, it was coded as punitive. The experts had high agreement (κ=0.84 to 0.92), and identified relationships between PSN characteristics and punitive reporting were described. Results A total of 25% of PSNs were punitive, 7% were unclear, and 68% were designated nonpunitive. Punitive (vs nonpunitive) PSNs more likely focused on communication (41% vs 13%), employee behavior (38% vs 2%), and patient assessment issues (17% vs 4%). Nonpunitive (vs punitive) PSNs were more likely for equipment (19% vs 4%) and patient or family behavior issues (8% vs 2%). Punitive (vs nonpunitive) PSNs were more common with adverse reactions or complications (21% vs 10%), communication failures (25% vs 16%), and noncategorized events (19% vs 8%), and nonpunitive (vs punitive) PSNs were more frequent in falls (5% vs 0%) and radiology or laboratory events (17% vs 7%). Conclusion Punitive reports have important implications for reporting systems because they may reflect a culture of blame and a failure to recognize system influences on behaviors. Nonpunitive wording better identifies factors contributing to safety concerns. Reporting systems should focus on patient outcomes and learning from systems issues, not blaming individuals.

Objective Emergency physicians routinely encounter stressful clinical situations, including treating victims of crime, violence, and trauma; facing the deaths of patients; and delivering bad news. During a pandemic, stress may be increased for healthcare workers. This study was undertaken to identify symptoms of post‐traumatic stress disorder (PTSD) among emergency physicians during the coronavirus disease 2019 (COVID‐19) pandemic. Methods This cross‐sectional survey was developed using the Life Events Checklist for Diagnostic and Statistical Manual of Mental Disorders, 5th Edition: DSM‐5 (DSM‐5) and the PTSD Checklist for DSM‐5 (PCL‐5). The survey was distributed to members of the American College of Emergency Physicians from May 21, 2020, through June 22, 2020. Results Among 1300 emergency physicians, a significant number of participants (22.3%; 95% confidence interval, 20.3–24.3%) reported symptoms of stress consistent with PTSD (PCL score ≥ 33). Higher PCL‐5 scores were associated with age younger than 50 years (P

Key Points Question Is posttraumatic epilepsy (PTE) associated with unfavorable functional outcomes after traumatic brain injury (TBI)? Findings In this cohort study that included 3296 individuals, the incidence of self-reported diagnosis of PTE at 1 year after injury among individuals who had experienced TBI was 2.8%. Patients with PTE had worse outcome scores at 1 year after injury compared with those without PTE, even after accounting for injury severity and neuroimaging findings on cranial computed tomography. Meaning These findings suggest that PTE is a significant sequela of TBI with adverse associations with recovery., This cohort study assesses the incidence, risk factors, and functional outcomes associated with self-reported posttraumatic epilepsy in patients with traumatic brain injury., Importance Posttraumatic epilepsy (PTE) is a recognized sequela of traumatic brain injury (TBI), but the long-term outcomes associated with PTE independent of injury severity are not precisely known. Objective To determine the incidence, risk factors, and association with functional outcomes and self-reported somatic, cognitive, and psychological concerns of self-reported PTE in a large, prospectively collected TBI cohort. Design, Setting, and Participants This multicenter, prospective cohort study was conducted as part of the Transforming Research and Clinical Knowledge in Traumatic Brain Injury study and identified patients presenting with TBI to 1 of 18 participating level 1 US trauma centers from February 2014 to July 2018. Patients with TBI, extracranial orthopedic injuries (orthopedic controls), and individuals without reported injuries (eg, friends and family of participants; hereafter friend controls) were prospectively followed for 12 months. Data were analyzed from January 2020 to April 2021. Exposure Demographic, imaging, and clinical information was collected according to TBI Common Data Elements. Incidence of self-reported PTE was assessed using the National Institute of Neurological Disorders and Stroke Epilepsy Screening Questionnaire (NINDS-ESQ). Main Outcomes and Measures Primary outcomes included Glasgow Outcome Scale Extended, Rivermead Cognitive Metric (RCM; derived from the Rivermead Post Concussion Symptoms Questionnaire), and the Brief Symptom Inventory-18 (BSI). Results Of 3296 participants identified as part of the study, 3044 met inclusion criteria, and 1885 participants (mean [SD] age, 41.3 [17.1] years; 1241 [65.8%] men and 644 [34.2%] women) had follow-up information at 12 months, including 1493 patients with TBI; 182 orthopedic controls, 210 uninjured friend controls; 41 patients with TBI (2.8%) and no controls had positive screening results for PTE. Compared with a negative screening result for PTE, having a positive screening result for PTE was associated with presenting Glasgow Coma Scale score (8.1 [4.8] vs.13.5 [3.3]; P

Key Points Question Are different patterns of intracranial injury on head computed tomography associated with prognosis after mild traumatic brain injury (mTBI)? Findings In this cohort study, subarachnoid hemorrhage, subdural hematoma, and contusion often co-occurred and were associated with both incomplete recovery and more severe impairment out to 12 months after injury, while intraventricular and/or petechial hemorrhage co-occurred and were associated with more severe impairment up to 12 months after injury; epidural hematoma was associated with incomplete recovery at some points but not with more severe impairment. Some intracranial hemorrhage patterns were more strongly associated with outcomes than previously validated demographic and clinical variables. Meaning In this study, different pathological features on head computed tomography carried different implications for mild traumatic brain injury prognosis to 1 year., The longitudinal, observational study aims to identify pathological computed tomography features associated with adverse outcomes after mild traumatic brain injury., Importance A head computed tomography (CT) with positive results for acute intracranial hemorrhage is the gold-standard diagnostic biomarker for acute traumatic brain injury (TBI). In moderate to severe TBI (Glasgow Coma Scale [GCS] scores 3-12), some CT features have been shown to be associated with outcomes. In mild TBI (mTBI; GCS scores 13-15), distribution and co-occurrence of pathological CT features and their prognostic importance are not well understood. Objective To identify pathological CT features associated with adverse outcomes after mTBI. Design, Setting, and Participants The longitudinal, observational Transforming Research and Clinical Knowledge in Traumatic Brain Injury (TRACK-TBI) study enrolled patients with TBI, including those 17 years and older with GCS scores of 13 to 15 who presented to emergency departments at 18 US level 1 trauma centers between February 26, 2014, and August 8, 2018, and underwent head CT imaging within 24 hours of TBI. Evaluations of CT imaging used TBI Common Data Elements. Glasgow Outcome Scale–Extended (GOSE) scores were assessed at 2 weeks and 3, 6, and 12 months postinjury. External validation of results was performed via the Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) study. Data analyses were completed from February 2020 to February 2021. Exposures Acute nonpenetrating head trauma. Main Outcomes and Measures Frequency, co-occurrence, and clustering of CT features; incomplete recovery (GOSE scores

Importance Moderate to severe traumatic brain injury (msTBI) is a major cause of death and disability in the US and worldwide. Few studies have enabled prospective, longitudinal outcome data collection from the acute to chronic phases of recovery after msTBI. Objective To prospectively assess outcomes in major areas of life function at 2 weeks and 3, 6, and 12 months after msTBI. Design, Setting, and Participants This cohort study, as part of the Transforming Research and Clinical Knowledge in TBI (TRACK-TBI) study, was conducted at 18 level 1 trauma centers in the US from February 2014 to August 2018 and prospectively assessed longitudinal outcomes, with follow-up to 12 months postinjury. Participants were patients with msTBI (Glasgow Coma Scale scores 3-12) extracted from a larger group of patients with mild, moderate, or severe TBI who were enrolled in TRACK-TBI. Data analysis took place from October 2019 to April 2021. Exposures Moderate or severe TBI. Main Outcomes and Measures The Glasgow Outcome Scale–Extended (GOSE) and Disability Rating Scale (DRS) were used to assess global functional status 2 weeks and 3, 6, and 12 months postinjury. Scores on the GOSE were dichotomized to determine favorable (scores 4-8) vs unfavorable (scores 1-3) outcomes. Neurocognitive testing and patient reported outcomes at 12 months postinjury were analyzed. Results A total of 484 eligible patients were included from the 2679 individuals in the TRACK-TBI study. Participants with severe TBI (n = 362; 283 men [78.2%]; median [interquartile range] age, 35.5 [25-53] years) and moderate TBI (n = 122; 98 men [80.3%]; median [interquartile range] age, 38 [25-53] years) were comparable on demographic and premorbid variables. At 2 weeks postinjury, 36 of 290 participants with severe TBI (12.4%) and 38 of 93 participants with moderate TBI (41%) had favorable outcomes (GOSE scores 4-8); 301 of 322 in the severe TBI group (93.5%) and 81 of 103 in the moderate TBI group (78.6%) had moderate disability or worse on the DRS (total score ≥4). By 12 months postinjury, 142 of 271 with severe TBI (52.4%) and 54 of 72 with moderate TBI (75%) achieved favorable outcomes. Nearly 1 in 5 participants with severe TBI (52 of 270 [19.3%]) and 1 in 3 with moderate TBI (23 of 71 [32%]) reported no disability (DRS score 0) at 12 months. Among participants in a vegetative state at 2 weeks, 62 of 79 (78%) regained consciousness and 14 of 56 with available data (25%) regained orientation by 12 months. Conclusions and Relevance In this study, patients with msTBI frequently demonstrated major functional gains, including recovery of independence, between 2 weeks and 12 months postinjury. Severe impairment in the short term did not portend poor outcomes in a substantial minority of patients with msTBI. When discussing prognosis during the first 2 weeks after injury, clinicians should be particularly cautious about making early, definitive prognostic statements suggesting poor outcomes and withdrawal of life-sustaining treatment in patients with msTBI.

Covert brain infarctions are focal lesions detected on brain imaging consistent with ischemia in the absence of a history of overt stroke or neurologic dysfunction. Covert brain infarctions are associated with an increased risk of future stroke. We evaluated the prevalence of covert brain infarctions in patients undergoing computed tomography (CT) in the emergency department (ED), as well as clinician response to the findings.Patients aged more than 50 years who underwent CT of the head and were seen and discharged from our ED from January to September 2018 were identified. Patients with a history of stroke, or prior brain imaging with ischemia, were excluded. Patient data and clinician response (patient notification, neurology referral, and risk factor modification) were collected.We included 832 patients, with an average age of 62 years, and 50% of the patients were women. Covert brain infarctions were present in 11% of patients (n=95). Only 9% of patients with covert brain infarctions were clearly made aware of the finding. Of the patients with covert brain infarctions, 27% were already on aspirin and 28% on a statin. Aspirin was added for 2 patients, and statin medication was not started on any patient. The blood pressure medication was added or adjusted for 2 patients with covert brain infarctions. The neurology department was consulted for 9% of the patients with covert brain infarctions.The prevalence of covert brain infarctions in patients older than 50 years presenting to the ED who underwent CT of the head and were subsequently discharged from the ED was 11%. Only 9% of these patients were made aware of the finding, with minimal intervention for stroke prevention at the time of their visit. Interventions targeting this population should be considered.

Contains fulltext : 238746.pdf (Publisher’s version ) (Closed access) Recent biomarker innovations hold potential for transforming diagnosis, prognostic modeling, and precision therapeutic targeting of traumatic brain injury (TBI). However, many biomarkers, including brain imaging, genomics, and proteomics, involve vast quantities of high-throughput and high-content data. Management, curation, analysis, and evidence synthesis of these data are not trivial tasks. In this review, we discuss data management concepts and statistical and data sharing strategies when dealing with biomarker data in the context of TBI research. We propose that application of biomarkers involves three distinct steps-discovery, evaluation, and evidence synthesis. First, complex/big data has to be reduced to useful data elements at the stage of biomarker discovery. Second, inferential statistical approaches must be applied to these biomarker data elements for assessment of biomarker clinical utility and validity. Last, synthesis of relevant research is required to support practice guidelines and enable health decisions informed by the highest quality, up-to-date evidence available. We focus our discussion around recent experiences from the International Traumatic Brain Injury Research (InTBIR) initiative, with a specific focus on four major clinical projects (Transforming Research and Clinical Knowledge in TBI, Collaborative European NeuroTrauma Effectiveness Research in TBI, Collaborative Research on Acute Traumatic Brain Injury in Intensive Care Medicine in Europe, and Approaches and Decisions in Acute Pediatric TBI Trial), which are currently enrolling subjects in North America and Europe. We discuss common data elements, data collection efforts, data-sharing opportunities, and challenges, as well as examine the statistical techniques required to realize successful adoption and use of biomarkers in the clinic as a foundation for precision medicine in TBI.

Background Brain volumes in regions such as the hippocampus and amygdala have been associated with risk for the development of posttraumatic stress disorder (PTSD). The objective of this study was to determine whether a set of regional brain volumes, measured by magnetic resonance imaging at 2 weeks following mild traumatic brain injury, were predictive of PTSD at 3 and 6 months after injury. Methods Using data from TRACK-TBI (Transforming Research and Clinical Knowledge in TBI), we included patients (N = 421) with Glasgow Coma Scale scores 13–15 assessed after evaluation in the emergency department and at 2 weeks, 3 months, and 6 months after injury. Probable PTSD diagnosis (PTSD Checklist for DSM-5 score, ≥33) was the outcome. FreeSurfer 6.0 was used to perform volumetric analysis of three-dimensional T1-weighted magnetic resonance images at 3T obtained 2 weeks post injury. Brain regions selected a priori for volumetric analyses were insula, hippocampus, amygdala, superior frontal cortex, rostral and caudal anterior cingulate, and lateral and medial orbitofrontal cortices. Results Overall, 77 (18.3%) and 70 (16.6%) patients had probable PTSD at 3 and 6 months. A composite volume derived as the first principal component incorporating 73.8% of the variance in insula, superior frontal cortex, and rostral and caudal cingulate contributed to the prediction of 3-month (but not 6-month) PTSD in multivariable models incorporating other established risk factors. Conclusions Results, while needing replication, provide support for a brain reserve hypothesis of PTSD and proof of principle for how prediction of at-risk individuals might be accomplished to enhance prognostic accuracy and enrich clinical prevention trials for individuals at the highest risk of PTSD following mild traumatic brain injury.

Reporting systems are designed to identify patient care issues so changes can be made to improve safety. However, a culture of blame discourages event reporting, and reporting seen as punitive can inhibit individual and system performance in patient safety. This study aimed to determine the frequency and factors related to punitive patient safety event report submissions, referred to as Patient Safety Net reports, or PSNs.Three subject matter experts reviewed 513 PSNs submitted between January and June 2019. If the PSN was perceived as blaming an individual, it was coded as punitive. The experts had high agreement (κ=0.84 to 0.92), and identified relationships between PSN characteristics and punitive reporting were described.A total of 25% of PSNs were punitive, 7% were unclear, and 68% were designated nonpunitive. Punitive (vs nonpunitive) PSNs more likely focused on communication (41% vs 13%), employee behavior (38% vs 2%), and patient assessment issues (17% vs 4%). Nonpunitive (vs punitive) PSNs were more likely for equipment (19% vs 4%) and patient or family behavior issues (8% vs 2%). Punitive (vs nonpunitive) PSNs were more common with adverse reactions or complications (21% vs 10%), communication failures (25% vs 16%), and noncategorized events (19% vs 8%), and nonpunitive (vs punitive) PSNs were more frequent in falls (5% vs 0%) and radiology or laboratory events (17% vs 7%).Punitive reports have important implications for reporting systems because they may reflect a culture of blame and a failure to recognize system influences on behaviors. Nonpunitive wording better identifies factors contributing to safety concerns. Reporting systems should focus on patient outcomes and learning from systems issues, not blaming individuals.

Introduction: Healthcare systems often expose patients to significant, preventable harm causing an estimated 44,000 to 98,000 deaths or more annually. This has propelled patient safety to the forefront, with reporting systems allowing for the review of local events to determine their root causes. As residents engage in a substantial amount of patient care in academic emergency departments, it is critical to use these safety event reports for resident-focused interventions and educational initiatives. This study analyzes reports from the Virginia Commonwealth University Health System to understand how the reports are categorized and how it relates to opportunities for resident education. Methods: Identifying categories from the literature, three subject matter experts (attending physician, nursing director, registered nurse) categorized an initial 20 reports to resolve category gaps and then 100 reports to determine inter-rater reliability. Given sufficient agreement, the remaining 400 reports were coded individually for type of event and education among other categories. Results: After reviewing 513 events, we found that the most common event types were issues related to staff and resident training (25%) and communication (18%), with 31% requiring no education, 46% requiring directed educational feedback to an individual or group, 20% requiring education through monthly safety updates or meetings, 3% requiring urgent communication by email or in-person, and

BackgroundAccurate medication reconciliation in trauma patients is essential but difficult. Currently there is no established clinical method of detecting direct oral anticoagulants (DOACs) in trauma patients. We hypothesized that a liquid chromatography-mass spectrometry (LCMS) based assay can be used to accurately detect DOACs in trauma patients upon hospital arrival.MethodsPlasma samples were collected from 356 patients who provided informed consent including-10 healthy controls, 19 known positive or negative controls and 327 trauma patients over 65 years of age who were evaluated at our large, urban Level 1 Trauma Center. The assay methodology was developed in healthy and known controls to detect apixaban, rivaroxaban and dabigatran using LCMS and then applied to 327 samples from trauma patients. Standard medication reconciliation processes in the electronic medical record documenting DOAC usage was compared with LCMS results to determine overall accuracy, sensitivity, specificity and positive and negative predictive values (PPV, NPV) of the assay.ResultsOf 356 patients, 39 were on DOACs (10.96%): 21 were on Apixaban, 14 on rivaroxaban and 4 on dabigatran. The overall accuracy of the assay for detecting any DOAC was 98.60%, with a sensitivity of 94.87% and specificity of 99.06%, (PPV 92.50% and NPV 99.37%). The assay detected apixaban with a sensitivity of 90.48% and specificity of 99.11% (PPV 86.36% and NPV 99.40%). There were three false positive results and two false negative LCMS results for apixaban. Dabigatran and rivaroxaban were detected with 100% sensitivity and specificity.ConclusionsThis LCMS-based assay was highly accurate in detecting DOACs in trauma patients. Further studies need to confirm the clinical efficacy of this LCMS assay and its value for medication reconciliation in trauma patients.Study type: diagnostic testBasic Science paper: therefore does not require a level of evidence.

Most traumatic brain injuries (TBIs) are classified as mild (mTBI) based on admission Glasgow Coma Scale (GCS) scores of 13 to 15. The prevalence of persistent functional limitations for these patients is unclear.To characterize the natural history of recovery of daily function following mTBI vs peripheral orthopedic traumatic injury in the first 12 months postinjury using data from the Transforming Research and Clinical Knowledge in Traumatic Brain Injury (TRACK-TBI) study, and, using clinical computed tomographic (CT) scans, examine whether the presence (CT+) or absence (CT-) of acute intracranial findings in the mTBI group was associated with outcomes.TRACK-TBI, a cohort study of patients with mTBI presenting to US level I trauma centers, enrolled patients from February 26, 2014, to August 8, 2018, and followed up for 12 months. A total of 1453 patients at 11 level I trauma center emergency departments or inpatient units met inclusion criteria (ie, mTBI [n = 1154] or peripheral orthopedic traumatic injury [n = 299]) and were enrolled within 24 hours of injury; mTBI participants had admission GCS scores of 13 to 15 and clinical head CT scans. Patients with peripheral orthopedic trauma injury served as the control (OTC) group.Participants with mTBI or OTC.The Glasgow Outcome Scale Extended (GOSE) scale score, reflecting injury-related functional limitations across broad life domains at 2 weeks and 3, 6, and 12 months postinjury was the primary outcome. The possible score range of the GOSE score is 1 (dead) to 8 (upper good recovery), with a score less than 8 indicating some degree of functional impairment.Of the 1453 participants, 953 (65.6%) were men; mean (SD) age was 40.9 (17.1) years in the mTBI group and 40.9 (15.4) years in the OTC group. Most participants (mTBI, 87%; OTC, 93%) reported functional limitations (GOSE8) at 2 weeks postinjury. At 12 months, the percentage of mTBI participants reporting functional limitations was 53% (95% CI, 49%-56%) vs 38% (95% CI, 30%-45%) for OTCs. A higher percentage of CT+ patients reported impairment (61%) compared with the mTBI CT- group (49%; relative risk [RR], 1.24; 95% CI, 1.08-1.43) and a higher percentage in the mTBI CT-group compared with the OTC group (RR, 1.28; 95% CI, 1.02-1.60).Most patients with mTBI presenting to US level I trauma centers report persistent, injury-related life difficulties at 1 year postinjury, suggesting the need for more systematic follow-up of patients with mTBI to provide treatments and reduce the risk of chronic problems after mTBI.

IMPORTANCE: Traumatic brain injury (TBI) has been associated with adverse mental health outcomes, such as posttraumatic stress disorder (PTSD) and major depressive disorder (MDD), but little is known about factors that modify risk for these psychiatric sequelae, particularly in the civilian sector. OBJECTIVE: To ascertain prevalence of and risk factors for PTSD and MDD among patients evaluated in the emergency department for mild TBI (mTBI). DESIGN, SETTING, AND PARTICIPANTS: Prospective longitudinal cohort study (February 2014 to May 2018). Posttraumatic stress disorder and MDD symptoms were assessed using the PTSD Checklist for DSM-5 and the Patient Health Questionnaire-9 Item. Risk factors evaluated included preinjury and injury characteristics. Propensity score weights-adjusted multivariable logistic regression models were performed to assess associations with PTSD and MDD. A total of 1155 patients with mTBI (Glasgow Coma Scale score, 13-15) and 230 patients with nonhead orthopedic trauma injuries 17 years and older seen in 11 US hospitals with level 1 trauma centers were included in this study. MAIN OUTCOMES AND MEASURES: Probable PTSD (PTSD Checklist for DSM-5 score, ≥33) and MDD (Patient Health Questionnaire-9 Item score, ≥15) at 3, 6, and 12 months postinjury. RESULTS: Participants were 1155 patients (752 men [65.1%]; mean [SD] age, 40.5 [17.2] years) with mTBI and 230 patients (155 men [67.4%]; mean [SD] age, 40.4 [15.6] years) with nonhead orthopedic trauma injuries. Weights-adjusted prevalence of PTSD and/or MDD in the mTBI vs orthopedic trauma comparison groups at 3 months was 20.0% (SE, 1.4%) vs 8.7% (SE, 2.2%) (P

Background Residencies are grappling with ways to identify methods to internally monitor and improve their learning environments. Building on prior work, the objective of this study was to determine emergency medicine (EM) internal evaluations of perceived organizational support and psychological safety and compare to the results from the Accreditation Council for Graduate Medical Education (ACGME) Resident Survey for the purpose of program improvement and to explore factors affecting residents' perception of their learning environment. Methods In 2017, the Virginia Commonwealth University School of Medicine Office of Graduate Medical Education and Office of Quality and Safety conducted an in-person, anonymous safety survey of the residents across 19 residency programs on the Short Survey of Perceived Organizational Support (SPOS) and Psychological Safety Scale (PSS). These were compared to the ACGME Resident Survey for 19 programs. Resident interviews and open response evaluation data informed content analysis on program experiences. Results Institutional response rates were 63% for the internal learning environment survey and 96% for ACGME Resident Safety Survey. EM residents responded positively on the SPOS and PSS compared to other programs (ranked second highest scores on both scales). One-hundred percent of respondents agreed or strongly agreed on SPOS items: "Help is available from my department when I have a problem." "My department really cares about my well-being." "My department values my contribution to its well-being." Furthermore, EM had the highest overall training experience score (mean = 4.83) on the ACGME survey compared to the 18 other training programs. Qualitative responses suggest program strengths included supportive program leadership, positive working relationships with faculty, and emphasis on trainee wellness. Conclusions Compared to other programs, EM has created a positive environment of safety and support as perceived by their residents. Internal surveys of the learning environment can help programs understand their culture for purposes of improvement and align with the ACGME survey.

Key Points Question Do postacute mild traumatic brain injury (mTBI) symptoms differ between men and women? Findings In this cohort study of 2000 patients with mTBI, the severity of cognitive and somatic symptoms on the Rivermead Post Concussion Symptoms Questionnaire at 12 months after injury was significantly worse in women than in men, whereas this difference was not significant in an orthopedic trauma control group. The association between mTBI and somatic symptoms was greater in women aged 35 to 49 years than those aged 17 to 34 years or older than 50 years. Meaning Sex and age may be important factors in the individualized, postacute treatment of patients with mTBI., This cohort study uses data from the Transforming Research and Clinical Knowledge in Traumatic Brain Injury (TRACK-TBI) study to assess whether patient sex and age are associated with mild traumatic brain injury symptoms., Importance Knowledge of differences in mild traumatic brain injury (mTBI) recovery by sex and age may inform individualized treatment of these patients. Objective To identify sex-related differences in symptom recovery from mTBI; secondarily, to explore age differences within women, who demonstrate poorer outcomes after TBI. Design, Setting, and Participants The prospective cohort study Transforming Research and Clinical Knowledge in Traumatic Brain Injury (TRACK-TBI) recruited 2000 patients with mTBI from February 26, 2014, to July 3, 2018, and 299 patients with orthopedic trauma (who served as controls) from January 26, 2016, to July 27, 2018. Patients were recruited from 18 level I trauma centers and followed up for 12 months. Data were analyzed from August 19, 2020, to March 3, 2021. Exposures Patients with mTBI (defined by a Glasgow Coma Scale score of 13-15) triaged to head computed tomography in 24 hours or less; patients with orthopedic trauma served as controls. Main Outcomes and Measures Measured outcomes included (1) the Rivermead Post Concussion Symptoms Questionnaire (RPQ), a 16-item self-report scale that assesses postconcussion symptom severity over the past 7 days relative to preinjury; (2) the Posttraumatic Stress Disorder Checklist for the Diagnostic and Statistical Manual of Mental Disorders (Fifth Edition) (PCL-5), a 20-item test that measures the severity of posttraumatic stress disorder symptoms; (3) the Patient Health Questionnaire-9 (PHQ-9), a 9-item scale that measures depression based on symptom frequency over the past 2 weeks; and (4) the Brief Symptom Inventory-18 (BSI-18), an 18-item scale of psychological distress (split into Depression and Anxiety subscales). Results A total of 2000 patients with mTBI (1331 men [67%; mean (SD) age, 41.0 (17.3) years; 1026 White (78%)] and 669 women [33%; mean (SD) age, 43.0 (18.5) years; 505 (76%) White]). After adjustment of multiple comparisons, significant TBI × sex interactions were observed for cognitive symptoms (B = 0.76; 5% false discovery rate–corrected P = .02) and somatic RPQ symptoms (B = 0.80; 5% false discovery rate–corrected P = .02), with worse symptoms in women with mTBI than men, but no sex difference in symptoms in control patients with orthopedic trauma. Within the female patients evaluated, there was a significant TBI × age interaction for somatic RPQ symptoms, which were worse in female patients with mTBI aged 35 to 49 years compared with those aged 17 to 34 years (B = 1.65; P = .02) or older than 50 years (B = 1.66; P = .02). Conclusions and Relevance This study found that women were more vulnerable than men to persistent mTBI-related cognitive and somatic symptoms, whereas no sex difference in symptom burden was seen after orthopedic injury. Postconcussion symptoms were also worse in women aged 35 to 49 years than in younger and older women, but further investigation is needed to corroborate these findings and to identify the mechanisms involved. Results suggest that individualized clinical management of mTBI should consider sex and age, as some women are especially predisposed to chronic postconcussion symptoms even 12 months after injury.

Importance Heterogeneity across patients with traumatic brain injury (TBI) presents challenges for clinical care and intervention design. Identifying distinct clinical phenotypes of TBI soon after injury may inform patient selection for precision medicine clinical trials. Objective To investigate whether distinct neurobehavioral phenotypes can be identified 2 weeks after TBI and to characterize the degree to which early neurobehavioral phenotypes are associated with 6-month outcomes. Design, setting, and participants This prospective cohort study included patients presenting to 18 US level 1 trauma centers within 24 hours of TBI from 2014 to 2019 as part of the Transforming Research and Clinical Knowledge in TBI (TRACK-TBI) study. Data were analyzed from January 28, 2020, to January 11, 2021. Exposures TBI. Main outcomes and measures Latent profiles (LPs) were derived from common dimensions of neurobehavioral functioning at 2 weeks after injury, assessed through National Institutes of Health TBI Common Data Elements (ie, Brief Symptom Inventory-18, Patient Health Questionnaire-9 Depression checklist, Posttraumatic Stress Disorder Checklist for DSM-5, PROMIS Pain Intensity scale, Insomnia Severity Index, Rey Auditory Verbal Learning Test, Wechsler Adult Intelligence Scale-Fourth Edition Coding and Symbol Search subtests, Trail Making Test, and NIH Toolbox Cognitive Battery Pattern Comparison Processing Speed, Dimensional Change Card Sort, Flanker Inhibitory Control and Attention, and Picture Sequence Memory subtests). Six-month outcomes were the Satisfaction With Life Scale (SWLS), Quality of Life after Brain Injury-Overall Scale (QOLIBRI-OS), Glasgow Outcome Scale-Extended (GOSE), and Rivermead Post-Concussion Symptoms Questionnaire (RPQ). Results Among 1757 patients with TBI included, 1184 (67.4%) were men, and the mean (SD) age was 39.9 (17.0) years. LP analysis revealed 4 distinct neurobehavioral phenotypes at 2 weeks after injury: emotionally resilient (419 individuals [23.8%]), cognitively impaired (368 individuals [20.9%]), cognitively resilient (620 individuals [35.3%]), and neuropsychiatrically distressed (with cognitive weaknesses; 350 individuals [19.9%]). Adding LP group to models including demographic characteristics, medical history, Glasgow Coma Scale score, and other injury characteristics was associated with significantly improved estimation of association with 6-month outcome (GOSE R2 increase = 0.09-0.19; SWLS R2 increase = 0.12-0.22; QOLIBRI-OS R2 increase = 0.14-0.32; RPQ R2 = 0.13-0.34). Conclusions and relevance In this cohort study of patients with TBI presenting to US level-1 trauma centers, qualitatively distinct profiles of symptoms and cognitive functioning were identified at 2 weeks after TBI. These distinct phenotypes may help optimize clinical decision-making regarding prognosis, as well as selection and stratification for randomized clinical trials.

Ischemic strokes affect 795,000 people per year in the US and are a major cause of long-term disability and mortality. These patients are often assessed by EMS at the scene and transported to appropriate centers of care for further evaluation and treatment. Utilization of helicopter emergency medical services (HEMS) greatly improves access to comprehensive stroke centers (CSC). However, the number of patients who have been air lifted from scene calls to a single CSC for suspected stroke with a non-stroke final diagnosis remains unclear. In this retrospective observational study, we aim to determine the volume and demographics of patients with suspected stroke and subsequently transported via HEMS from scene to a CSC. Between January 1, 2017 and December 31, 2017, 717 prehospital records of patients airlifted by a two-helicopter program from scene calls to a single CSC were analyzed for stroke alerts. Final diagnosis was determined from EMR. No patients were excluded. Parameters such as patient home county, age, race, sex, and transport times were collected from prehospital charts. Home counties were categorized according to the CDC Urban-Rural Classification Scheme for Counties. Counties were classified as one of four urban-rural designations: Large Central Metro, Large Fringe Metro, Medium/Small Metro and Nonmetro. In 2017, of the 717 airlifted patients, 37 patients were airlifted from on-scene calls and suspected of stroke. Demographics of these suspected stroke patients include 49% African American (18), 49% White, Non-Hispanic (18) and 2% White, Hispanic (1). Most airlifted patients were home to rural counties (84%, 31) indicated as “Nonmetro”. Of the 37 patients suspected of stroke by EMS, 32% were diagnosed with ischemic stroke (12), 19% were diagnosed with intracerebral hemorrhage (7) and 8% were diagnosed with transient ischemic attack (3). 41% of the suspected ischemic stroke patients had a final diagnosis which was not stroke related and were admitted for other medical conditions (15). Demographics of the 15 stroke mimics included 47% African American (7) and 53% White, Non-Hispanic (8). Our analysis revealed that 84% (31/37) transported to a CSC via HEMS from scene calls suspected of stroke were home to rural counties, classified as “Nonmetro”. Patients in rural counties are inherently at risk for increased stroke mortality due to geographic isolation from centers of higher stroke care. In our sample, HEMS appears to be most utilized by the rural population for stroke care and may help address the lack of access to advanced stroke services. Demographics did not vary between patients with true strokes and stroke mimics. Of all suspected stroke patients airlifted from scene to a CSC, 22 were true strokes and 15 were stroke mimics. Although this study has numerous limitations including small sample size, retrospective methodology, and from a single CSC, it suggests that HEMS may serve to equalize the barriers to access for timely and definitive stroke interventions in rural populations. Future analyses should consider including multiple CSCs and HEMS programs to determine the generalizability of these findings.

Making decisions for a patient affected by sudden devastating illness or injury traumatizes a patient's family and loved ones. Even in the absence of an emergency, surrogates making end-of-life treatment decisions may experience negative emotional effects. Helping surrogates with these end-of-life decisions under emergent conditions requires the emergency physician (EP) to be clear, making medical recommendations with sensitivity. This model for emergency department (ED) end-of-life communications after acute devastating events comprises the following steps: 1) determine the patient's decision-making capacity; 2) identify the legal surrogate; 3) elicit patient values as expressed in completed advance directives; 4) determine patient/surrogate understanding of the life-limiting event and expectant treatment goals; 5) convey physician understanding of the event, including prognosis, treatment options, and recommendation; 6) share decisions regarding withdrawing or withholding of resuscitative efforts, using available resources and considering options for organ donation; and 7) revise treatment goals as needed. Emergency physicians should break bad news compassionately, yet sufficiently, so that surrogate and family understand both the gravity of the situation and the lack of long-term benefit of continued life-sustaining interventions. EPs should also help the surrogate and family understand that palliative care addresses comfort needs of the patient including adequate treatment for pain, dyspnea, or anxiety. Part I of this communications model reviews determination of decision-making capacity, surrogacy laws, and advance directives, including legal definitions and application of these steps; Part II (which will appear in a future issue of AEM) covers communication moving from resuscitative to end-of-life and palliative treatment. EPs should recognize acute devastating illness or injuries, when appropriate, as opportunities to initiate end-of-life discussions and to implement shared decisions.

TBI is a complex disease process caused by a cascade of systemic events. Attention is now turning to drugs that act on multiple pathways to enhance survival and functional outcomes. Progesterone has been found to be beneficial in several animal species, different models of brain injury, and in two preliminary human clinical trials. It holds promise as a treatment for TBI. Progesterone's multiple mechanisms of action may work synergistically to prevent the death of neurons and glia, leading to reduced morbidity and mortality. This review highlights the importance of glial cells as mediators of progesterone's actions on the CNS and describes progesterone's pleiotrophic effects on immune enhancement and neuroprotection in TBI.

Key Points Question Do patients with mild traumatic brain injury (mTBI) receive adequate levels of follow-up care? Findings In a cohort study using data on 831 patients with mTBI presenting to the emergency department at 1 of 11 level I trauma centers across the United States, 42% of patients reported receiving educational material at discharge and 44% reported seeing a physician or other medical practitioner within 3 months after injury. Among patients with 3 or more moderate to severe postconcussive symptoms, only 52% reported having seen a practitioner within 3 months following the injury. Meaning A large proportion of patients with mTBI do not receive follow-up care after injury even when they experience ongoing postconcussive symptoms., This cohort study describes follow-up care for patients within 3 months of receiving treatment for mild traumatic brain injury (TBI) or concussion at US emergency departments of level I trauma centers., Importance Mild traumatic brain injury (mTBI) affects millions of Americans each year. Lack of consistent clinical practice raises concern that many patients with mTBI may not receive adequate follow-up care. Objective To characterize the provision of follow-up care to patients with mTBI during the first 3 months after injury. Design, Setting, and Participants This cohort study used data on patients with mTBI enrolled in the Transforming Research and Clinical Knowledge in Traumatic Brain Injury (TRACK-TBI) study between February 26, 2014, and August 25, 2016. We examined site-specific variations in follow-up care, the types of clinicians seen by patients receiving follow-up care, and patient and injury characteristics associated with a higher likelihood of receiving follow-up care. The TRACK-TBI study is a prospective, multicenter, longitudinal observational study of patients with TBI presenting to the emergency department of 1 of 11 level I US trauma centers. Study data included patients with head trauma who underwent a computed tomography (CT) scan within 24 hours of injury, had a Glasgow Coma Scale score of 13 to 15, were aged 17 years or older, and completed follow-up care surveys at 2 weeks and 3 months after injury (N = 831). Main Outcomes and Measures Follow-up care was defined as hospitals providing TBI educational material at discharge, hospitals calling patients to follow up, and patients seeing a physician or other medical practitioner within 3 months after the injury. Unfavorable outcomes were assessed with the Rivermead Post Concussion Symptoms Questionnaire. Results Of 831 patients (289 [35%] female; 483 [58%] non-Hispanic white; mean [SD] age, 40.3 [16.9] years), less than half self-reported receiving TBI educational material at discharge (353 patients [42%]) or seeing a physician or other health care practitioner within 3 months after injury (367 patients [44%]). Follow-up care varied by study site; adjusting for patient characteristics, the provision of educational material varied from 19% to 72% across sites. Of 236 patients with a positive finding on a CT scan, 92 (39%) had not seen a medical practitioner 3 months after the injury. Adjusting for injury severity and demographics, patient admission to the hospital ward or intensive care unit, patient income, and insurance status were not associated with the probability of seeing a medical practitioner. Among the patients with 3 or more moderate to severe postconcussive symptoms, only 145 of 279 (52%) reported having seen a medical practitioner by 3 months. Conclusions and Relevance There are gaps in follow-up care for patients with mTBI after hospital discharge, even those with a positive finding on CT or who continue to experience postconcussive symptoms.

It is well recognized that stress of any nature will cause a delay in the wound healing response. This delayed healing response appears closely associated with immune regulators. In this study, CD-1 mice were injected with a long acting form of methyl prednisolone to cause a steroid-induced immune suppression. After 24 hours, two 6-mm full thickness wounds were placed on the animals' backs and one group of animals received the immune-regulating hormone, androstenediol. Wound contraction was quantified by planimetry for the subsequent 14 days. Animals that were stressed with methyl prednisolone but receiving androstenediol contracted their open wounds at faster rates compared with methyl prednisolone-stressed animals treated with the vehicle alone. These findings suggest that restoration of immune regulation by androstenediol can reverse the delayed open wound contraction secondary to steroid stress.

Properly assigning authorship of academic papers is often an ethical challenge. Through a hypothetical case study, the authors examine some of the potential ethical issues involved in determining who should and should not be listed as an author: the problems of honorary authorship, coerced authorship, and ghost authorship, as well as the question of how to order authors. Guidelines for avoiding and negotiating these issues are also discussed.

Making decisions for a patient affected by sudden devastating illness or injury traumatizes a patient's family and loved ones. Even in the absence of an emergency, surrogates making end-of-life treatment decisions may experience negative emotional effects. Helping surrogates with these end-of-life decisions under emergent conditions requires the emergency physician (EP) to be clear, making medical recommendations with sensitivity. This model for emergency department (ED) end-of-life communications after acute devastating events comprises the following steps: 1) determine the patient's decision-making capacity; 2) identify the legal surrogate; 3) elicit patient values as expressed in completed advance directives; 4) determine patient/surrogate understanding of the life-limiting event and expectant treatment goals; 5) convey physician understanding of the event, including prognosis, treatment options, and recommendation; 6) share decisions regarding withdrawing or withholding of resuscitative efforts, using available resources and considering options for organ donation; and 7) revise treatment goals as needed. Emergency physicians should break bad news compassionately, yet sufficiently, so that surrogate and family understand both the gravity of the situation and the lack of long-term benefit of continued life-sustaining interventions. EPs should also help the surrogate and family understand that palliative care addresses comfort needs of the patient including adequate treatment for pain, dyspnea, or anxiety. Part I of this communications model reviews determination of decision-making capacity, surrogacy laws, and advance directives, including legal definitions and application of these steps; Part II (which will appear in a future issue of AEM) covers communication moving from resuscitative to end-of-life and palliative treatment. EPs should recognize acute devastating illness or injuries, when appropriate, as opportunities to initiate end-of-life discussions and to implement shared decisions.

The model for emergency department (ED) end-of-life communications after acute devastating events addresses decision-making capacity, surrogates, and advance directives, including legal definitions and application of these steps. Part II concerns communications moving from resuscitative to palliative and end-of-life treatments. After completing the steps involved in determining decision-making, emergency physicians (EPs) should consider starting palliative measures versus continuing resuscitative treatment. As communications related to these end-of-life decisions increasingly fall within the scope of emergency medicine (EM) practice, we need to become educated about and comfortable with them.

Background An estimated 350,000–750,000 adult, in-hospital cardiac arrest (IHCA) events occur annually in the United States. The impact of resuscitation system errors on survival during IHCA resuscitation has not been evaluated. The purpose of this paper was to evaluate the impact of resuscitation system errors on survival to hospital discharge after IHCA. Methods and results We evaluated subjective and objective errors in 118,387 consecutive, adult, index IHCA cases entered into the Get with the Guidelines National Registry of Cardiopulmonary Resuscitation database from January 1, 2000 through August 26, 2008. Cox regression analysis was used to determine the relationship between reported resuscitation system errors and other important clinical variables and the hazard ratio for death prior to hospital discharge. Of the 108,636 patients whose initial IHCA rhythm was recorded, resuscitation system errors were committed in 9,894/24,467 (40.4%) of those with an initial rhythm of ventricular fibrillation or pulseless ventricular tachycardia (VF/pVT) and in 22,599/84,169 (26.8%) of those with non-VF/pVT. The most frequent system errors related to delay in medication administration (>5 min time from event recognition to first dose of a vasoconstrictor), defibrillation, airway management, and chest compression performance errors. The presence of documented resuscitation system errors on an IHCA event was associated with decreased rates of return of spontaneous circulation, survival to 24 h, and survival to hospital discharge. The relative risk of death prior to hospital discharge based on hazard ratio analysis was 9.9% (95% CI 7.8, 12.0) more likely for patients whose initial documented rhythm was non-VF/pVT when resuscitation system errors were reported compared to when no errors were reported. It was 34.2% (95% CI 29.5, 39.1) more likely for those with VF/pVT. Conclusions The presence of resuscitation system errors that are evident from review of the resuscitation record is associated with decreased survival from IHCA in adults. Hospitals should target the training of first responders and code team personnel to emphasize the importance of early defibrillation, early use of vasoconstrictor medication, and compliance with ACLS protocols.