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Abstract Objectives To determine the diagnostic accuracy of a rapid host‐protein test for differentiating bacterial from viral infections in patients who presented to the emergency department (ED) or urgent care center (UCC). Methods This was a prospective multicenter, blinded study. MeMed BV (MMBV), a test based on tumor necrosis factor‐related apoptosis‐inducing ligand (TRAIL), interferon gamma‐inducible protein‐10 (IP‐10), and C‐reactive protein (CRP), was measured using a rapid measurement platform. Patients were enrolled from 9 EDs and 3 UCCs in the United States and Israel. Patients >3 months of age presenting with fever and clinical suspicion of acute infection were considered eligible. MMBV results were not provided to the treating clinician. MMBV results (bacterial/viral/equivocal) were compared against a reference standard method for classification of infection etiology determined by expert panel adjudication. Experts were blinded to MMBV results. They were provided with comprehensive patient data, including laboratory, microbiological, radiological and follow‐up. Results Of 563 adults and children enrolled, 476 comprised the study population (314 adults, 162 children). The predominant clinical syndrome was respiratory tract infection (60.5% upper, 11.3% lower). MMBV demonstrated sensitivity of 90.0% (95% confidence interval [CI]: 80.3–99.7), specificity of 92.8% (90.0%–95.5%), and negative predictive value of 98.8% (96.8%–99.6%) for bacterial infections. Only 7.2% of cases yielded equivocal MMBV scores. Area under the curve for MMBV was 0.95 (0.90–0.99). Conclusions MMBV had a high sensitivity and specificity relative to reference standard for differentiating bacterial from viral infections. Future implementation of MMBV for patients with suspected acute infections could potentially aid with appropriate antibiotic decision‐making.

OBJECTIVES/GOALS: Children with traumatic intracranial hemorrhage are monitored closely for deterioration and need for intervention. Data on risk factors for deterioration in nonsevere head injury are limited. Our objective was to identify children with hemorrhage from non-severe head injury who are at risk for deterioration. METHODS/STUDY POPULATION: We conducted a 10-site cross-sectional study of children 8. Our primary outcome was clinically important hemorrhage after injury and within 96 hours of ED arrival, defined as ED interventions (intubation, hyperosmotic agents, or neurosurgery within 4 hours of arrival) or clinically important deterioration (new or worsening signs/symptoms with an acute change in management). After testing model assumptions, we used logistic regression to identify clinical and neuroradiographic factors associated with clinically important hemorrhage. RESULTS/ANTICIPATED RESULTS: We studied 763 children with intracranial hemorrhage, with a median (IQR) age of 3.0 (0.4, 10.5) years. Initial GCS was mild (14-15) in 89.4% (n=682) and moderate (9-13) in 10.6% (n=81). Clinically important hemorrhage was observed in 19.5% (n=149), and 7.8% (n=59) developed clinically important deterioration. Median (IQR) time to deterioration was 17.6 (4.6, 37.9) hours. In our sample, 16.3% (n=124) underwent critical interventions, 54.9% (n=419) were admitted to an ICU, and 50.1% (n=382) underwent repeat neuroimaging. We found older age (OR 1.6; 95% CI 1.3, 1.9), lower GCS (OR 5.0; 95% CI 2.9, 8.5), and epidural hemorrhage (OR 3.3; 95% CI 2.0, 5.5) was associated with clinically important hemorrhage. DISCUSSION/SIGNIFICANCE: Clinically important hemorrhage occurred in one in five children with non-severe head injury. Clinical and neuroradiographic factors associated with ED interventions and deterioration were identified. Risk stratification algorithms using these data will be developed to assist clinicians caring for children with head injury.

Abstract Objectives We aimed to determine trends and institutional variation in repeat neuroimaging in children with traumatic intracranial hemorrhage and to identify factors associated with neuroimaging modality (subsequent magnetic resonance imaging [MRI] vs computed tomography [CT]). Methods We conducted a retrospective cross‐sectional study of 35 hospitals in the Pediatric Health Information System database. We included children

Objective To derive and validate a tool that retrospectively identifies delayed diagnosis of appendicitis in administrative data with high accuracy.Design Cross-sectional study.Setting Five paediatric emergency departments (EDs).Participants 669 patients under 21 years old with possible delayed diagnosis of appendicitis, defined as two ED encounters within 7 days, the second with appendicitis.Outcome Delayed diagnosis was defined as appendicitis being present but not diagnosed at the first ED encounter based on standardised record review. The cohort was split into derivation (2/3) and validation (1/3) groups. We derived a prediction rule using logistic regression, with covariates including variables obtainable only from administrative data. The resulting trigger tool was applied to the validation group to determine area under the curve (AUC). Test characteristics were determined at two predicted probability thresholds.Results Delayed diagnosis occurred in 471 (70.4%) patients. The tool had an AUC of 0.892 (95% CI 0.858 to 0.925) in the derivation group and 0.859 (95% CI 0.806 to 0.912) in the validation group. The positive predictive value (PPV) for delay at a maximal accuracy threshold was 84.7% (95% CI 78.2% to 89.8%) and identified 87.3% of delayed cases. The PPV at a stricter threshold was 94.9% (95% CI 87.4% to 98.6%) and identified 46.8% of delayed cases.Conclusions This tool accurately identified delayed diagnosis of appendicitis. It may be used to screen for potential missed diagnoses or to specifically identify a cohort of children with delayed diagnosis.