Literature DB >> 21465153

External validation of the New Orleans Criteria (NOC), the Canadian CT Head Rule (CCHR) and the National Emergency X-Radiography Utilization Study II (NEXUS II) for CT scanning in pediatric patients with minor head injury in a non-trauma center.

Jennifer L Schachar1, Richard L Zampolin, Todd S Miller, Joaquim M Farinhas, Katherine Freeman, Benjamin H Taragin.   

Abstract

BACKGROUND: Head CT scans are considered the imaging modality of choice to screen patients with head trauma for neurocranial injuries; however, widespread CT imaging is not recommended and much research has been conducted to establish objective clinical predictors of intracranial injury (ICI) in order to optimize the use of neuroimaging in children with minor head trauma.
OBJECTIVE: To evaluate whether a strict application of the New Orleans Criteria (NOC), Canadian CT Head Rule (CCHR) and National Emergency X-Radiography Utilization Study II (NEXUS II) in pediatric patients with head trauma presenting to a non-trauma center (level II) could reduce the number of cranial CT scans performed without missing clinically significant ICI.
MATERIALS AND METHODS: We conducted an IRB-approved retrospective analysis of pediatric patients with head trauma who received a cranial CT scan between Jan. 1, 2001, and Sept. 1, 2008, and identified which patients would have required a scan based on the criteria of the above listed decision instruments. We then determined the sensitivities, specificities and negative predictive values of these aids.
RESULTS: In our cohort of 2,101 patients, 92 (4.4%) had positive head CT findings. The sensitivities for the NOC, CCHR and NEXUS II were 96.7% (95%CI 93.1-100), 65.2% (95%CI 55.5-74.9) and 78.3% (95%CI 69.9-86.7), respectively, and their negative predictive values were 98.7%, 97.6% and 97.2%, respectively. In contrast, the specificities for these aids were 11.2% (95%CI 9.8-12.6), 64.2% (95%CI 62.1-66.3) and 34.2% (95%CI 32.1-36.3), respectively. Therefore, in our population it would have been possible to scan at least 10.9% fewer patients.
CONCLUSIONS: The number of cranial CT scans conducted in our pediatric cohort with head trauma would have been reduced had any of the three clinical decision aids been applied. Therefore, we recommend that further validation and adoption of pediatric head CT decision aids in non-trauma centers be considered to ultimately increase patient safety while reducing medical expense.

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Year:  2011        PMID: 21465153     DOI: 10.1007/s00247-011-2032-4

Source DB:  PubMed          Journal:  Pediatr Radiol        ISSN: 0301-0449


  18 in total

1.  Clinical policy: neuroimaging and decisionmaking in adult mild traumatic brain injury in the acute setting.

Authors:  Andy S Jagoda; Stephen V Cantrill; Robert L Wears; Alex Valadka; E John Gallagher; Steven H Gottesfeld; Michael P Pietrzak; Jason Bolden; John J Bruns; Robert Zimmerman
Journal:  Ann Emerg Med       Date:  2002-08       Impact factor: 5.721

2.  Developing a decision instrument to guide computed tomographic imaging of blunt head injury patients.

Authors:  William R Mower; Jerome R Hoffman; Mel Herbert; Allan B Wolfson; Charles V Pollack; Michael I Zucker
Journal:  J Trauma       Date:  2005-10

Review 3.  Computed tomography--an increasing source of radiation exposure.

Authors:  David J Brenner; Eric J Hall
Journal:  N Engl J Med       Date:  2007-11-29       Impact factor: 91.245

4.  External validation of the Canadian CT Head Rule and the New Orleans Criteria for CT scanning in patients with minor head injury.

Authors:  Marion Smits; Diederik W J Dippel; Gijs G de Haan; Heleen M Dekker; Pieter E Vos; Digna R Kool; Paul J Nederkoorn; Paul A M Hofman; Albert Twijnstra; Hervé L J Tanghe; M G Myriam Hunink
Journal:  JAMA       Date:  2005-09-28       Impact factor: 56.272

5.  Clinical indicators of intracranial injury in head-injured infants.

Authors:  D S Greenes; S A Schutzman
Journal:  Pediatrics       Date:  1999-10       Impact factor: 7.124

6.  Pediatric head trauma: changes in use of computed tomography in emergency departments in the United States over time.

Authors:  Charles D Blackwell; Marc Gorelick; James F Holmes; Subhankar Bandyopadhyay; Nathan Kuppermann
Journal:  Ann Emerg Med       Date:  2006-12-04       Impact factor: 5.721

7.  CATCH: a clinical decision rule for the use of computed tomography in children with minor head injury.

Authors:  Martin H Osmond; Terry P Klassen; George A Wells; Rhonda Correll; Anna Jarvis; Gary Joubert; Benoit Bailey; Laurel Chauvin-Kimoff; Martin Pusic; Don McConnell; Cheri Nijssen-Jordan; Norm Silver; Brett Taylor; Ian G Stiell
Journal:  CMAJ       Date:  2010-02-08       Impact factor: 8.262

8.  Emergency department discharge of patients with a negative cranial computed tomography scan after minimal head injury.

Authors:  D H Livingston; R F Lavery; M R Passannante; J H Skurnick; S Baker; T C Fabian; D E Fry; M A Malangoni
Journal:  Ann Surg       Date:  2000-07       Impact factor: 12.969

9.  Diagnostic testing for acute head injury in children: when are head computed tomography and skull radiographs indicated?

Authors:  K S Quayle; D M Jaffe; N Kuppermann; B A Kaufman; B C Lee; T S Park; W H McAlister
Journal:  Pediatrics       Date:  1997-05       Impact factor: 7.124

10.  Determinants of head injury mortality: importance of the low risk patient.

Authors:  M R Klauber; L F Marshall; T G Luerssen; R Frankowski; K Tabaddor; H M Eisenberg
Journal:  Neurosurgery       Date:  1989-01       Impact factor: 4.654

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  10 in total

1.  Eye tracking detects disconjugate eye movements associated with structural traumatic brain injury and concussion.

Authors:  Uzma Samadani; Robert Ritlop; Marleen Reyes; Elena Nehrbass; Meng Li; Elizabeth Lamm; Julia Schneider; David Shimunov; Maria Sava; Radek Kolecki; Paige Burris; Lindsey Altomare; Talha Mehmood; Theodore Smith; Jason H Huang; Christopher McStay; S Rob Todd; Meng Qian; Douglas Kondziolka; Stephen Wall; Paul Huang
Journal:  J Neurotrauma       Date:  2015-02-06       Impact factor: 5.269

Review 2.  S100B, GFAP, UCH-L1 and NSE as predictors of abnormalities on CT imaging following mild traumatic brain injury: a systematic review and meta-analysis of diagnostic test accuracy.

Authors:  Michael Amoo; Jack Henry; Philip J O'Halloran; Paul Brennan; Mohammed Ben Husien; Matthew Campbell; John Caird; Mohsen Javadpour; Gerard F Curley
Journal:  Neurosurg Rev       Date:  2021-10-28       Impact factor: 3.042

Review 3.  Accuracy of Canadian CT Head Rule and New Orleans Criteria for Minor Head Trauma; a Systematic Review and Meta-Analysis.

Authors:  Abeer Kadum Abass Alzuhairy
Journal:  Arch Acad Emerg Med       Date:  2020-09-08

4.  ACEP's Recommendations for Brain Computed Tomography Scan in Adult Minor Head Trauma Patients; a Diagnostic Accuracy Study.

Authors:  Mohammad Mohammaddoust; Niaz Mohammad Jafari Chokan; SeyedehMaryam MoshirianFarahi; Ayoub Tavakolian; Mahdi Foroughian
Journal:  Arch Acad Emerg Med       Date:  2020-10-29

5.  A blood-based biomarker panel to risk-stratify mild traumatic brain injury.

Authors:  Richa Sharma; Alexandra Rosenberg; Ellen R Bennett; Daniel T Laskowitz; Shawn K Acheson
Journal:  PLoS One       Date:  2017-03-29       Impact factor: 3.240

Review 6.  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

7.  Physicians' Risk Tolerance and Head Computed Tomography Use for Pediatric Patients With Minor Head Injury.

Authors:  Chi-Yung Cheng; Hsiu-Yung Pan; Chao-Jui Li; Yi-Chuan Chen; Chien-Chih Chen; Yi-Syun Huang; Fu-Jen Cheng
Journal:  Pediatr Emerg Care       Date:  2021-03-01       Impact factor: 1.602

Review 8.  Implementation of National Emergency X-Radiography Utilization Study (NEXUS) Criteria in Pediatrics: A Systematic Review.

Authors:  Chukwuyem Ekhator; Ijeoma Nwankwo; Akito Nicol
Journal:  Cureus       Date:  2022-10-08

9.  Efficacy of Canadian computed tomography head rule in predicting the need for a computed-axial tomography scans among patients with suspected head injuries.

Authors:  Thekkumkara Surendran Nair Anish; Pallipurathu Reghunathan Nair Sreelakshmi; Sarath Medhavan; Shahid Babu; Sambu Sugathan
Journal:  Int J Crit Illn Inj Sci       Date:  2012-09

10.  Using Machine Learning and Natural Language Processing Algorithms to Automate the Evaluation of Clinical Decision Support in Electronic Medical Record Systems.

Authors:  Donald A Szlosek; Jonathan Ferrett
Journal:  EGEMS (Wash DC)       Date:  2016-08-10
  10 in total

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