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Stratification of risk for emergent intracranial abnormalities in children with headaches: a Pediatric Emergency Care
Daniel S Tsze1, Nathan Kuppermann2, T Charles Casper3
1Department of Emergency Medicine, Division of Pediatric Emergency Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, USA dst2141@cumc.columbia.edu.
Insights
This study aims to develop a model to identify children with headaches in the emergency department who are at low risk for emergent intracranial abnormalities, reducing unnecessary neuroimaging and radiation exposure.
Area of Science:
- Pediatric Emergency Medicine
- Neurology
- Radiology
Background:
- Headaches are a frequent reason for pediatric emergency department visits.
- A small percentage of children with headaches have emergent intracranial abnormalities (EIAs), such as tumors or strokes.
- Overutilization of neuroimaging in children with headaches leads to unnecessary radiation exposure.
Purpose of the Study:
- To derive and validate a clinical risk stratification model for identifying children with headaches at risk for EIAs.
- To reduce unnecessary neuroimaging and radiation exposure in pediatric emergency departments.
Main Methods:
- Prospective cohort study of 28,000 children aged 2-17 presenting with headaches to 18 emergency departments.
- Standardized history and physical examination performed by clinicians.
- Binary recursive partitioning and multiple regression analyses used to develop and validate the risk model.
Main Results:
- The study aims to identify key clinical variables for risk stratification.
- Internal validation of the derived model will be performed.
- The primary outcome is the presence of EIA, determined by neuroimaging or clinical follow-up.
Conclusions:
- A validated risk stratification model can accurately identify children with headaches who do not require emergent neuroimaging.
- This approach can help reduce unnecessary radiation exposure in pediatric patients.
- Improved clinical decision-making for pediatric headaches in the ED.
Introduction:
Headache is a common chief complaint of children presenting to emergency departments (EDs). Approximately 0.5%-1% will have emergent intracranial abnormalities (EIAs) such as brain tumours or strokes. However, more than one-third undergo emergent neuroimaging in the ED, resulting in a large number of children unnecessarily exposed to radiation. The overuse of neuroimaging in children with headaches in the ED is driven by clinician concern for life-threatening EIAs and lack of clarity regarding which clinical characteristics accurately identify children with EIAs. The study objective is to derive and internally validate a stratification model that accurately identifies the risk of EIA in children with headaches based on clinically sensible and reliable variables.
Methods And Analysis:
Prospective cohort study of 28 000 children with headaches presenting to any of 18 EDs in the Pediatric Emergency Care Applied Research Network (PECARN). We include children aged 2-17 years with a chief complaint of headache. We exclude children with a clear non-intracranial alternative diagnosis, fever, neuroimaging within previous year, neurological or developmental condition such that patient history or physical examination may be unreliable, Glasgow Coma Scale score<14, intoxication, known pregnancy, history of intracranial surgery, known structural abnormality of the brain, pre-existing condition predisposing to an intracranial abnormality or intracranial hypertension, head injury within 14 days or not speaking English or Spanish. Clinicians complete a standardised history and physical examination of all eligible patients. Primary outcome is the presence of an EIA as determined by neuroimaging or clinical follow-up. We will use binary recursive partitioning and multiple regression analyses to create and internally validate the risk stratification model.
Ethics And Dissemination:
Ethics approval was obtained for all participating sites from the University of Utah single Institutional Review Board. A waiver of informed consent was granted for collection of ED data. Verbal consent is obtained for follow-up contact. Results will be disseminated through international conferences, peer-reviewed publications, and open-access materials.
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