The aim of this study was to determine the potential impact of the Pediatric Emergency Care Applied Research Network (PECARN) rules on the CT rate in a large paediatric minor traumatic head injury (MTHI) cohort and compare this with current national Dutch guidelines. This was a planned sub-study of a prospective multicentre observational study that enrolled 1006 children younger than 18 years with MTHI. We calculated the number of recommended CT scans and described trauma-related CT scan abnormalities. The PECARN rules recommended a significantly lower percentage of CT scans in all age categories, namely 101/357 (28.3%) versus 164/357 (45.9%) (p < 0.001) in patients under 2 years of age and 148/623 (23.8%) versus 394/623 (63.2%) (p < 0,001) versus in patients 2 years and older.Conclusion: The projected CT rate can significantly be reduced if the PECARN rules are applied. We therefore advocate that the PECARN guidelines are also implemented in The Netherlands. What is Known: • To guide clinicians whether to perform a CT scan in children with a minor traumatic head injury (MTHI) clinical decision rules has been developed. • The overall CT scan rate in adherence with the Dutch MTHI guidelines is 44%. What is New: • The projected CT rate can significantly be reduced in a Dutch cohort of MTHI if the PECARN rules are applied. • The Dutch national guidelines for MTHI can safely be replaced by the PECARN rules.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7479012 | PMC |
http://dx.doi.org/10.1007/s00431-020-03649-w | DOI Listing |
Hosp Pediatr
January 2025
Department of Biomedical and Health Informatics, Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Objective: Natural language processing (NLP) can enhance research studies for febrile infants by more comprehensive cohort identification. We aimed to refine and validate an NLP algorithm to identify and extract quantified temperature measurements from infants aged 90 days and younger with fevers at home or clinics prior to emergency department (ED) visits.
Patients And Methods: We conducted a cross-sectional study using electronic health record (EHR) data from 17 EDs in 10 health systems that are part of the Pediatric Emergency Care Applied Research Network Registry.
Neurosurg Rev
September 2024
Department of Pediatric Neurosurgery, Takatsuki General Hospital, 1-3-13 Kosobecho, Takatsuki City, Osaka, Japan.
Lancet Child Adolesc Health
July 2024
Department of Emergency Medicine, University of California, Davis School of Medicine, Sacramento, CA, USA.
Background: Cervical spine injuries in children are uncommon but potentially devastating; however, indiscriminate neck imaging after trauma unnecessarily exposes children to ionising radiation. The aim of this study was to derive and validate a paediatric clinical prediction rule that can be incorporated into an algorithm to guide radiographic screening for cervical spine injury among children in the emergency department.
Methods: In this prospective observational cohort study, we screened children aged 0-17 years presenting with known or suspected blunt trauma at 18 specialised children's emergency departments in hospitals in the USA affiliated with the Pediatric Emergency Care Applied Research Network (PECARN).
Lancet Child Adolesc Health
May 2024
Department of Emergency Medicine, School of Medicine, University of California Davis, Sacramento, CA, USA; Department of Pediatrics, School of Medicine, University of California Davis, Sacramento, CA, USA.
Background: The intra-abdominal injury and traumatic brain injury prediction rules derived by the Pediatric Emergency Care Applied Research Network (PECARN) were designed to reduce inappropriate use of CT in children with abdominal and head trauma, respectively. We aimed to validate these prediction rules for children presenting to emergency departments with blunt abdominal or minor head trauma.
Methods: For this prospective validation study, we enrolled children and adolescents younger than 18 years presenting to six emergency departments in Sacramento (CA), Dallas (TX), Houston (TX), San Diego (CA), Los Angeles (CA), and Oakland (CA), USA between Dec 27, 2016, and Sept 1, 2021.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!