Reliability and Accuracy of the Pediatric Swiss Emergency Triage Scale-the SETSped Study.

BACKGROUND AND IMPORTANCE: The Swiss Emergency Triage Scale (SETS) is an adult triage tool used in several emergency departments. It has been recently adapted to the pediatric population but, before advocating for its use, performance assessment of this tool is needed. OBJECTIVES: The purpose of this study was to assess the reliability and the accuracy of the pediatric version of the SETS for the triage of pediatric patients. DESIGN, SETTING, AND PARTICIPANTS: This study was a cross-sectional study among a sample of emergency triage nurses (ETNs) exposed to 17 clinical scenarios using a computerized simulator. OUTCOME MEASURES AND ANALYSIS: The primary outcome was the reliability of the triage level performed by the ETNs. It was assessed using an intraclass correlation coefficient.Secondary outcomes included accuracy of triage compared with expert-based triage levels and factors associated with accurate triage. MAIN RESULTS: Eighteen ETNs participated in the study and completed the evaluation of all scenarios, for a total of 306 triage decisions. The intraclass correlation coefficient was 0.80 (95% confidence interval, 0.69-0.91), with an agreement by scenario ranging from 61.1% to 100%. The overall accuracy was 85.8%, and nurses were more likely to undertriage (16.0%) than to overtriage (4.3%). No factor for accurate triage was identified. CONCLUSIONS: This simulator-based study showed that the SETS is reliable and accurate among a pediatric population. Future research is needed to confirm these results, compare this triage scale head-to-head with other recognized international tools, and study the SETSped in real-life setting.

Diabetic Striatopathy in Childhood: A Case Report.

Diabetic striatopathy is a well-known complication of diabetes in adults. To our knowledge, only 2 cases have been reported in children. We here report the case of a teenager in whom diabetic striatopathy was revealed by the subacute appearance of hemichorea-hemiballism in the context of weight loss, polyuria, and polydipsia. Glycemia control allowed rapid clinical recovery despite established striatal lesions documented on MRI. We also discuss current hypotheses about pathophysiological processes underlying this entity.

Morphology-driven automatic segmentation of MR images of the neonatal brain.

The segmentation of MR images of the neonatal brain is an essential step in the study and evaluation of infant brain development. State-of-the-art methods for adult brain MRI segmentation are not applicable to the neonatal brain, due to large differences in structure and tissue properties between newborn and adult brains. Existing newborn brain MRI segmentation methods either rely on manual interaction or require the use of atlases or templates, which unavoidably introduces a bias of the results towards the population that was used to derive the atlases. We propose a different approach for the segmentation of neonatal brain MRI, based on the infusion of high-level brain morphology knowledge, regarding relative tissue location, connectivity and structure. Our method does not require manual interaction, or the use of an atlas, and the generality of its priors makes it applicable to different neonatal populations, while avoiding atlas-related bias. The proposed algorithm segments the brain both globally (intracranial cavity, cerebellum, brainstem and the two hemispheres) and at tissue level (cortical and subcortical gray matter, myelinated and unmyelinated white matter, and cerebrospinal fluid). We validate our algorithm through visual inspection by medical experts, as well as by quantitative comparisons that demonstrate good agreement with expert manual segmentations. The algorithm's robustness is verified by testing on variable quality images acquired on different machines, and on subjects with variable anatomy (enlarged ventricles, preterm- vs. term-born).