98%
921
2 minutes
20
Background: Clinical decision rules can help to determine the need for CT imaging in children with head injuries. We aimed to validate three clinical decision rules (PECARN, CATCH, and CHALICE) in a large sample of children.
Methods: In this prospective observational study, we included children and adolescents (aged <18 years) with head injuries of any severity who presented to the emergency departments of ten Australian and New Zealand hospitals. We assessed the diagnostic accuracy of PECARN (stratified into children aged <2 years and ≥2 years), CATCH, and CHALICE in predicting each rule-specific outcome measure (clinically important traumatic brain injury [TBI], need for neurological intervention, and clinically significant intracranial injury, respectively). For each calculation we used rule-specific predictor variables in populations that satisfied inclusion and exclusion criteria for each rule (validation cohort). In a secondary analysis, we compiled a comparison cohort of patients with mild head injuries (Glasgow Coma Scale score 13-15) and calculated accuracy using rule-specific predictor variables for the standardised outcome of clinically important TBI. This study is registered with the Australian New Zealand Clinical Trials Registry, number ACTRN12614000463673.
Findings: Between April 11, 2011, and Nov 30, 2014, we analysed 20 137 children and adolescents attending with head injuries. CTs were obtained for 2106 (10%) patients, 4544 (23%) were admitted, 83 (<1%) underwent neurosurgery, and 15 (<1%) died. PECARN was applicable for 4011 (75%) of 5374 patients younger than 2 years and 11 152 (76%) of 14 763 patients aged 2 years and older. CATCH was applicable for 4957 (25%) patients and CHALICE for 20 029 (99%). The highest point validation sensitivities were shown for PECARN in children younger than 2 years (100·0%, 95% CI 90·7-100·0; 38 patients identified of 38 with outcome [38/38]) and PECARN in children 2 years and older (99·0%, 94·4-100·0; 97/98), followed by CATCH (high-risk predictors only; 95·2%; 76·2-99·9; 20/21; medium-risk and high-risk predictors 88·7%; 82·2-93·4; 125/141) and CHALICE (92·3%, 89·2-94·7; 370/401). In the comparison cohort of 18 913 patients with mild injuries, sensitivities for clinically important TBI were similar. Negative predictive values in both analyses were higher than 99% for all rules.
Interpretation: The sensitivities of three clinical decision rules for head injuries in children were high when used as designed. The findings are an important starting point for clinicians considering the introduction of one of the rules.
Funding: National Health and Medical Research Council, Emergency Medicine Foundation, Perpetual Philanthropic Services, WA Health Targeted Research Funds, Townsville Hospital Private Practice Fund, Auckland Medical Research Foundation, A + Trust.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/S0140-6736(17)30555-X | DOI Listing |
Wound Repair Regen
September 2025
Graduate Program in Health Technology (PPGTS) at Pontifical Catholic University of Paraná (PUC-PR), Paraná, Brazil.
Chronic wounds pose a growing global health challenge. Accurate assessment is essential for monitoring healing, yet traditional two-dimensional methods lack volumetric analysis. Emerging three-dimensional imaging technologies offer enhanced precision, but their clinical validation and prognostic utility remain unclear.
View Article and Find Full Text PDFCurr Biol
August 2025
Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, QC H3A 2B4, Canada.
Humans and other primates are capable of learning to recognize new visual stimuli throughout their lifetimes. Most theoretical models assume that such learning occurs through the adjustment of the large number of synaptic weights connecting the visual cortex to downstream decision-making areas. While this approach to learning can optimize performance on behavioral tasks, it can also be costly in terms of time and energy.
View Article and Find Full Text PDFInt J Med Inform
August 2025
National Engineering Laboratory for Internet Medical Systems and Applications, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China. Electronic address:
Purpose: Ensuring medication safety remains a pressing challenge in fragmented healthcare systems, particularly with the rapid growth of Internet Hospitals and limited pharmacist resources. Existing prescription review tools are often siloed and lack cross-institutional scalability. This study presents a cloud-based, dual-layer prescription review system (CEPR) designed to support provincial integration across Internet and outpatient care.
View Article and Find Full Text PDFInt J Drug Policy
September 2025
Department of Sociology and Population Studies, University of Malawi, Malawi. Electronic address:
Background: Harmful alcohol consumption has significant public health implications across Africa and disproportionately affects vulnerable populations. In Malawi, the emergence of alcohol sachets - small, affordable plastic packets containing high-strength spirits - and their consumption, has raised substantial public health concerns. In particular, the resulting access and consumption amongst young people, led to a ban on those products by the Malawi Government in 2017.
View Article and Find Full Text PDFPLoS One
September 2025
School of Business, Hunan Institute of Technology, Hengyang, Hunan, China.
This paper introduces a groundbreaking monitoring model tailored for sustainable trade activity surveillance, which synergistically integrates event-driven architecture with an intelligent decision tree. Confronting the constraints of conventional trade monitoring approaches that falter in adapting to the intricate and ever-changing market landscape, our model innovatively establishes an efficient, adaptable, and sustainable monitoring framework. By embedding an intelligent decision tree, it enables dynamic resource allocation, thereby optimizing operational efficacy.
View Article and Find Full Text PDF