Trauma-Informed Care for Violently Injured Patients in the Emergency Department.

Violent traumatic injury remains a common condition treated by emergency physicians. The medical management of these patients is well described and remains an area of focus for providers. However, violently injured patients disproportionately carry a history of physical and psychological trauma that frequently affects clinical care in the emergency department. The alteration of our clinical approach, taking into consideration how a patient's previous experiences influence how he or she may perceive and react to medical care, is a concept referred to as trauma-informed care. This approach is based on 4 pillars: knowledge of the effect of trauma, recognition of the signs and symptoms of trauma, avoidance of retraumatization, and the development of appropriate policies and procedures. Using this framework, we provide practical considerations for emergency physicians in the delivery of trauma-informed care for violently injured patients.

Development of a clinical prediction instrument to estimate risk of initial violent injury.

BACKGROUND: Interpersonal violent injury is a public health crisis, disproportionately affecting young people of color. We aimed to evaluate associations between sociobehavioral predictors and first-time violent injury, and to develop a predictive risk score for violent injury. METHODS: We performed a retrospective case-cohort study of adolescents aged 12-18 years. Multivariable logistic regression was used to estimate associations between 35 candidate variables and interpersonal first-time violent injury resulting in an emergency department (ED) visit. Multiple imputation was used to account for missing values and a risk score was developed by multiplying regression coefficients by 10 to generate a composite tool to predict initial violent injury (IVI). Discrimination and calibration were assessed using 10-fold cross validation. RESULTS: 19,210 adolescents were included, 276 (1.4%) as victims of IVI. The final model, the Initial Violent Injury Risk Prediction Tool (IVI-RPT), included: age, fight within the prior year, trouble with the law, and alcohol use. IVI-RPT scores were categorized as: 0-7 (low risk), 8-16 (moderate), and 17-26 (high), and IVI prevalence was 0.8% (95% confidence interval [CI]: 0.6%, 0.9%), 2.5% (95% CI: 1.9%, 3.1%), and 5.3% (95% CI: 4.1%, 6.6%), respectively. The area under the receiver operating characteristic curve was 0.70 (95% CI: 0.66, 0.73), while the slope of the calibration curve was 1.1 (95% CI: 0.9, 1.2). CONCLUSIONS: We developed a promising clinical prediction instrument, the IVI-RPT, that categorizes individuals into risk groups with increasing probabilities of violent injury. External validation of this tool is required prior to clinical practice implementation.

The Denver Seizure Score: anion gap metabolic acidosis predicts generalized seizure.

OBJECTIVES: Anion gap (AG) and serum bicarbonate concentration (BICARB) may help confirm a diagnosis of seizure in an unwitnessed collapse; however, little data exist to support this practice. Our objective was to assess the association between AG metabolic acidosis and generalized seizure and to derive a simple score to predict seizure. METHODS: This was a case-control study at an urban teaching hospital. Patients transported to our emergency department with witnessed loss of consciousness and final confirmed diagnoses of generalized seizure (cases) or syncope (controls) were eligible for enrollment. Multivariable logistic regression analysis was used to model associations between AG, BICARB, and seizure. RESULTS: In 49 cases and 40 controls, patients in the seizure group were more likely to have a lower median BICARB (17 [range, 14-34] vs 23 [range, 20-24], P < .0001) and a higher median AG (22 [range, 9-42] vs 13 [range, 7-21], P < .0001). The Denver Seizure Score was defined, using regression coefficient weighting, as the Δ BICARB plus twice the Δ AG [(24 - BICARB) + (2×(AG - 12))]. The score ranged from -16 to +74 and identified patients as low likelihood (score <0), moderate likelihood (score 0-20), or high likelihood (score >20), with 21% (95% confidence interval [CI], 5%-51%), 40% (95% CI, 26%-56%), and 96% (95% CI, 82%-100%) being categorized as seizure, respectively. CONCLUSIONS: Anion gap metabolic acidosis is associated with generalized seizure. A Denver Seizure Score greater than 20 predicts generalized seizure in the emergency department and may be useful for differentiating patients with unwitnessed loss of consciousness.