Intensive longitudinal assessment following index trauma to predict development of PTSD using machine learning.

There are significant challenges to identifying which individuals require intervention following exposure to trauma, and a need for strategies to identify and provide individuals at risk for developing PTSD with timely interventions. The present study seeks to identify a minimal set of trauma-related symptoms, assessed during the weeks following traumatic exposure, that can accurately predict PTSD. Participants were 2185 adults (Mean age=36.4 years; 64% women; 50% Black) presenting for emergency care following traumatic exposure. Participants received a 'flash survey' with 6-8 varying symptoms (from a pool of 26 trauma symptoms) several times per week for eight weeks following the trauma exposure (each symptom assessed ∼6 times). Features (mean, sd, last, worst, peak-end scores) from the repeatedly assessed symptoms were included as candidate variables in a CART machine learning analysis to develop a pragmatic predictive algorithm. PTSD (PCL-5 ≥38) was present for 669 (31%) participants at the 8-week follow-up. A classification tree with three splits, based on mean scores of nervousness, rehashing, and fatigue, predicted PTSD with an Area Under the Curve of 0.836. Findings suggest feasibility for a 3-item assessment protocol, delivered once per week, following traumatic exposure to assess and potentially facilitate follow-up care for those at risk.

Utility of Wrist-Wearable Data for Assessing Pain, Sleep, and Anxiety Outcomes After Traumatic Stress Exposure.

Importance: Adverse posttraumatic neuropsychiatric sequelae after traumatic stress exposure are common and have higher incidence among socioeconomically disadvantaged populations. Pain, depression, avoidance of trauma reminders, reexperiencing trauma, anxiety, hyperarousal, sleep disruption, and nightmares have been reported. Wrist-wearable devices with accelerometers capable of assessing 24-hour rest-activity characteristics are prevalent and may have utility in measuring these outcomes. Objective: To evaluate whether wrist-wearable devices can provide useful biomarkers for recovery after traumatic stress exposure. Design, Setting, and Participants: Data were analyzed from a diverse cohort of individuals seen in the emergency department after experiencing a traumatic stress exposure, as part of the Advancing Understanding of Recovery After Trauma (AURORA) study. Participants recruited from 27 emergency departments wore wrist-wearable devices for 8 weeks, beginning in the emergency department, and completed serial assessments of neuropsychiatric symptoms. A total of 19 019 patients were screened. Of these, 3040 patients met study criteria, provided informed consent, and completed baseline assessments. A total of 2021 provided data from wrist-wearable devices, completed the 8-week assessment, and were included in this analysis. The data were randomly divided into 2 equal parts (n = 1010) for biomarker identification and validation. Data were collected from September 2017 to January 2020, and data were analyzed from May 2020 to November 2022. Exposures: Participants were recruited for the study after experiencing a traumatic stress exposure (most commonly motor vehicle collision). Main Outcomes and Measures: Rest-activity characteristics were derived and validated from wrist-wearable devices associated with specific self-reported symptom domains at a point in time and changes in symptom severity over time. Results: Of 2021 included patients, 1257 (62.2%) were female, and the mean (SD) age was 35.8 (13.0) years. Eight wrist-wearable device biomarkers for symptoms of adverse posttraumatic neuropsychiatric sequelae exceeded significance thresholds in the derivation cohort. One of these, reduced 24-hour activity variance, was associated with greater pain severity (r = -0.14; 95% CI, -0.20 to -0.07). Changes in 6 rest-activity measures were associated with changes in pain over time, and changes in the number of transitions between sleep and wake over time were associated with changes in pain, sleep, and anxiety. Simple cutoffs for these biomarkers identified individuals with good recovery for pain (positive predictive value [PPV], 0.85; 95% CI, 0.82-0.88), sleep (PPV, 0.63; 95% CI, 0.59-0.67, and anxiety (PPV, 0.76; 95% CI, 0.72-0.80) with high predictive value. Conclusions and Relevance: These findings suggest that wrist-wearable device biomarkers may have utility as screening tools for pain, sleep, and anxiety symptom outcomes after trauma exposure in high-risk populations.

Outcomes after Concussion Recovery Education: Effects of Litigation and Disability Status on Maintenance of Symptoms.

This study examined the hypothesis that people who receive concussion recovery education would have better outcomes than those who received usual discharge paperwork from the emergency department (ED) and tested whether participants who were in litigation or seeking disability compensation had more symptoms than individuals not engaged in these activities. Two hundred and fifty-five persons with a diagnosis of concussion were assigned randomly to a brief education group (one-page double-sided document), a longer education group (10-page document), and usual care (standard ED discharge instructions), and were these documents in the ED. A (non-concussion) trauma comparison group was enrolled to determine the symptom rate unrelated to brain injury. The Concussion Symptom Checklist (CSC) and litigation and disability status questions were completed by telephone at one week, three months, and six months. Neither long nor brief information handouts had a significant impact on symptoms over time; the standard form had an average decrease of 1.20 symptoms compared with the brief instructional intervention group (p = 0.031). Litigation status and disability seeking status were significant predictors of symptoms on CSC over time: disability seeking (p = 0.017) and litigation status (p = 0.05). Persons seeking Social Security disability or legal compensation endorsed more symptoms over time than those who were not. Number of symptoms on the CSC for the trauma control group was the same as those who sustained concussion. Type of recovery material was not as important as noting that concussion symptoms resolve over time, and that remaining symptoms are not specific to brain injury. Litigation and disability seeking behavior accounted for maintained symptoms, rather than the concussion itself.

Clinical pharmacy services in the emergency department.

The emergency department (ED) is a fast-paced, high-risk, and often overburdened work environment. Formal policy statements from several notable organizations, including the American College of Emergency Physicians (ACEP) and the American Society of Health-System Pharmacists (ASHP), have recognized the importance of clinical pharmacists in the emergency medicine (EM) setting. EM clinical pharmacists work alongside emergency physicians and nurses at the bedside to optimize pharmacotherapy, improve patient safety, increase efficiency and cost-effectiveness of care, facilitate antibiotic stewardship, educate patients and clinicians, and contribute to scholarly efforts. This paper examines the history of EM clinical pharmacists and associated training programs, the diverse responsibilities and roles of EM clinical pharmacists, their impact on clinical and financial outcomes, and proposes a conceptual model for EM clinical pharmacist integration into ED patient care. Finally, barriers to implementing EM clinical pharmacy programs and limitations are considered.

Emergency department visits in patients with low acuity conditions: Factors associated with resource utilization.

OBJECTIVES: To identify health beliefs of emergency department (ED) patients with low acuity conditions and how these affect ambulance (AMB) utilization. METHODS: We performed a prospective, observational study on a convenience sample of patients 18years or older, who presented to the ED of an urban, academic hospital with an Emergency Severity Index (ESI) triage level of 4 or 5. Demographics, treatment, and disposition data were obtained along with self-administered surveys. Characteristics of patients with low acuity conditions who presented to the ED by AMB were compared to the patients who came to the ED by private transportation (PT). Data were analyzed with the chi-square test, t-test, and Mann-Whitney test. RESULTS: A total of 197 patients (97 AMB and 100 PT) were enrolled. Compared to PT, AMB patients were more likely to: be insured (82% vs. 56%; p=0.000), have a primary care provider (62% vs. 44%; p=0.048), and lack a regular means of transportation (53% vs. 33%; p=0.005). Three surveys were used the SF-8, Short Test of Functional Health Literacy in Adults [STOFHLA], and Health Belief Model [HBM]. Answers to HBM showed patients perceive that their illness required care within one hour of arrival (38% vs. 21%; p=0.04), have used an ambulance in the past year (76% vs. 33%; p=0.001) and to utilize an ambulance in the future for similar concerns (53% vs. 15%; p=0.000). AMB patients were more likely to call an ambulance for any health concern (p=0.035) and felt that there were enough ambulances for all patients in the city (p=0.01). There were no differences in age, employment, level of income and education, nor hospital admission rate between groups. CONCLUSIONS: Ambulance use in low-acuity ED patients is associated with misperceptions regarding severity of illness and resource allocation as well as limited access to private transportation. Understanding patient perceptions of illness and other barriers to receiving care is imperative for the development of interventions aimed at enabling change in health behaviors such as the elective use of limited resources.

Utility of point of care assessment of platelet reactivity (using the PFA-100®) to aid in diagnosis of stroke.

BACKGROUND: Rapid and accurate diagnosis of patients presenting with symptoms of stroke is needed to facilitate the timely delivery of proven effective treatment for patients with acute ischemic stroke (AIS). The aim of this study was to determine whether early assessment of platelet reactivity in patients presenting with symptoms of AIS was associated with a diagnosis of AIS, transient ischemic attack (TIA), or stroke mimic. METHODS: This prospective study included patients with symptoms of AIS treated at an inner-city emergency department (ED). Blood samples were obtained and assayed for platelet reactivity (quantified by closure time). Patients were grouped by discharge diagnosis into: AIS, TIA, or stroke mimic. Binary logistic regression model was used to predict the association of closure time with the final diagnosis of 1) either AIS or TIA or, 2) stroke mimic. RESULTS: Of 114 patients enrolled, 32 were diagnosed with AIS, 33 TIA, and 49 were diagnosed as a stroke mimic. There was no significant difference in closure times among patients with a diagnosis of AIS or TIA versus stroke mimic. A history of migraines and history of seizures were independently associated with lower odds of an AIS or TIA diagnosis (OR 0.31, 95% CI 0.10 to 0.94 and OR 0.08, 95% CI 0.01 to 0.88, respectively). CONCLUSION: Closure time was not found to be a clinically reliable differentiator of patients with a diagnosis of AIS, TIA, or stroke mimic in the ED.