Literature DB >> 26825755

Comparison of Prediction Rules and Clinician Suspicion for Identifying Children With Clinically Important Brain Injuries After Blunt Head Trauma.

Shireen M Atabaki1, John D Hoyle2,3, Jeff E Schunk4, David J Monroe5, Elizabeth R Alpern6,7, Kimberly S Quayle8, Todd F Glass9,10, Mohamed K Badawy11,12, Michelle Miskin4, Walton O Schalick13, Peter S Dayan14, James F Holmes15, Nathan Kuppermann15,16.   

Abstract

OBJECTIVE: Children with minor head trauma frequently present to emergency departments (EDs). Identifying those with traumatic brain injuries (TBIs) can be difficult, and it is unknown whether clinical prediction rules outperform clinician suspicion. Our primary objective was to compare the test characteristics of the Pediatric Emergency Care Applied Research Network (PECARN) TBI prediction rules to clinician suspicion for identifying children with clinically important TBIs (ciTBIs) after minor blunt head trauma. Our secondary objective was to determine the reasons for obtaining computed tomography (CT) scans when clinical suspicion of ciTBI was low.
METHODS: This was a planned secondary analysis of a previously conducted observational cohort study conducted in PECARN to derive and validate clinical prediction rules for ciTBI among children with minor blunt head trauma in 25 PECARN EDs. Clinicians recorded their suspicion of ciTBI before CT as <1, 1-5, 6-10, 11-50, or >50%. We defined ciTBI as 1) death from TBI, 2) neurosurgery, 3) intubation for more than 24 hours for TBI, or 4) hospital admission of 2 nights or more associated with TBI on CT. To avoid overfitting of the prediction rules, we performed comparisons of the prediction rules and clinician suspicion on the validation group only. On the validation group, we compared the test accuracies of clinician suspicion > 1% versus having at least one predictor in the PECARN TBI age-specific prediction rules for identifying children with ciTBIs (one rule for children <2 years [preverbal], the other rule for children >2 years [verbal]).
RESULTS: In the parent study, we enrolled 8,627 children to validate the prediction rules, after enrolling 33,785 children to derive the prediction rules. In the validation group, clinician suspicion of ciTBI was recorded in 8,496/8,627 (98.5%) patients, and 87 (1.0%) had ciTBIs. CT scans were obtained in 2,857 (33.6%) patients in the validation group for whom clinician suspicion of ciTBI was recorded, including 2,099/7,688 (27.3%) of those with clinician suspicion of ciTBI of <1% and 758/808 (93.8%) of those with clinician suspicion >1%. The PECARN prediction rules were significantly more sensitive than clinician suspicion >1% of ciTBI for preverbal (100% [95% confidence interval {CI} = 86.3% to 100%] vs. 60.0% [95% CI = 38.7% to 78.9%]) and verbal children (96.8% [95% CI = 88.8% to 99.6%] vs. 64.5% [95% CI = 51.3% to 76.3%]). Prediction rule specificity, however, was lower than clinician suspicion >1% for preverbal children (53.6% [95% CI = 51.5% to 55.7%] vs. 92.4% [95% CI = 91.2% to 93.5%]) and verbal children (58.2% [95% CI = 56.9% to 59.4%] vs. 90.6% [95% CI = 89.8% to 91.3%]). Of the 7,688 patients in the validation group with clinician suspicion recorded as <1%, CTs were nevertheless obtained in 2,099 (27.3%). Three of 16 (18.8%) patients undergoing neurosurgery had clinician suspicion of ciTBI <1%.
CONCLUSIONS: The PECARN TBI prediction rules had substantially greater sensitivity, but lower specificity, than clinician suspicion of ciTBI for children with minor blunt head trauma. Because CT ordering did not follow clinician suspicion of <1%, these prediction rules can augment clinician judgment and help obviate CT ordering for children at very low risk of ciTBI.
© 2016 by the Society for Academic Emergency Medicine.

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Year:  2016        PMID: 26825755     DOI: 10.1111/acem.12923

Source DB:  PubMed          Journal:  Acad Emerg Med        ISSN: 1069-6563            Impact factor:   3.451


  11 in total

1.  Cervical Spine Injury Risk Factors in Children With Blunt Trauma.

Authors:  Julie C Leonard; Lorin R Browne; Fahd A Ahmad; Hamilton Schwartz; Michael Wallendorf; Jeffrey R Leonard; E Brooke Lerner; Nathan Kuppermann
Journal:  Pediatrics       Date:  2019-07       Impact factor: 7.124

2.  Accuracy of Clinician Suspicion of Lyme Disease in the Emergency Department.

Authors:  Lise E Nigrovic; Jonathan E Bennett; Fran Balamuth; Michael N Levas; Rachel L Chenard; Alexandra B Maulden; Aris C Garro
Journal:  Pediatrics       Date:  2017-12       Impact factor: 7.124

3.  Pediatric Emergency Care Applied Research Network (PECARN) prediction rules in identifying high risk children with mild traumatic brain injury.

Authors:  B Nakhjavan-Shahraki; M Yousefifard; M J Hajighanbari; A Oraii; S Safari; M Hosseini
Journal:  Eur J Trauma Emerg Surg       Date:  2017-06-22       Impact factor: 3.693

Review 4.  Emergency department management of traumatic brain injuries: A resource tiered review.

Authors:  Julia Dixon; Grant Comstock; Jennifer Whitfield; David Richards; Taylor W Burkholder; Noel Leifer; Nee-Kofi Mould-Millman; Emilie J Calvello Hynes
Journal:  Afr J Emerg Med       Date:  2020-06-16

5.  Pediatric minor head injury imaging practices: results from an ESPR survey.

Authors:  Maria I Argyropoulou; George A Alexiou; Vassileios G Xydis; Catherine Adamsbaum; Jean-Francois Chateil; Andrea Rossi; Nadine Girard; Élida Vázquez; Loukas G Astrakas
Journal:  Neuroradiology       Date:  2019-12-11       Impact factor: 2.804

6.  Head CT Guidelines Following Concussion among the Youngest Trauma Patients: Can We Limit Radiation Exposure Following Traumatic Brain Injury?

Authors:  Bryan J Harvell; Stephen D Helmer; Jeanette G Ward; Elizabeth Ablah; Raymond Grundmeyer; James M Haan
Journal:  Kans J Med       Date:  2018-05-18

7.  Reducing the Cranial CT Rate for Pediatric Minor Head Trauma at Three Community Hospitals.

Authors:  Alla Smith; Karen Gruskin; Michael C Monuteaux; Anne M Stack; Melissa Sundberg; Ramy Yim; Annie Seneski; Theresa Becker
Journal:  Pediatr Qual Saf       Date:  2019-03-20

Review 8.  Grading and assessment of clinical predictive tools for paediatric head injury: a new evidence-based approach.

Authors:  Mohamed Khalifa; Blanca Gallego
Journal:  BMC Emerg Med       Date:  2019-06-14

9.  Comparisons of the accuracy of radiation diagnostic modalities in brain tumor: A nonrandomized, nonexperimental, cross-sectional trial.

Authors:  Qian Luo; Yongmei Li; Lan Luo; Wanglun Diao
Journal:  Medicine (Baltimore)       Date:  2018-08       Impact factor: 1.817

10.  Effect of the Head Computed Tomography Choice Decision Aid in Parents of Children With Minor Head Trauma: A Cluster Randomized Trial.

Authors:  Erik P Hess; James L Homme; Anupam B Kharbanda; Leah Tzimenatos; Jeffrey P Louie; Daniel M Cohen; Lise E Nigrovic; Jessica J Westphal; Nilay D Shah; Jonathan Inselman; Michael J Ferrara; Jeph Herrin; Victor M Montori; Nathan Kuppermann
Journal:  JAMA Netw Open       Date:  2018-09-07
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