Literature DB >> 20573733

Application of the CHALICE clinical prediction rule for intracranial injury in children outside the UK: impact on head CT rate.

Louise Crowe1, Vicki Anderson, Franz E Babl.   

Abstract

OBJECTIVE: The children's head injury algorithm for the prediction of important clinical events (CHALICE) is one of the strongest clinical prediction rules for the management of children with head injuries. The authors set out to determine the impact of this rule on the proportion of head injured patients receiving a CT scan in a major Australian paediatric emergency department.
DESIGN: Retrospective cohort study.
SETTING: Tertiary paediatric hospital emergency department in Australia (67 000 patients/year). PATIENTS: All head injured patients presenting to the emergency department in 2004. MAIN OUTCOME MEASURES: Actual proportion of head injured patients receiving a CT scan compared with the proportion had the CHALICE algorithm been applied.
RESULTS: There were 1091 head injuries of all severities during the study period. 18% of head injured patients had a Glasgow Coma Scale <15, 19% a CT scan and 1.4% neurosurgical intervention. Application of the CHALICE algorithm would result in 46% receiving a CT scan. 303 patients who fit CHALICE criteria did not have a CT scan. These patients were managed with admission for observation or discharge and head injury instructions. Only five of these (1.6% or 0.5% of total head injuries) received a CT scan on representation for ongoing symptoms, four of which showed abnormalities on CT scan.
CONCLUSIONS: Application of the CHALICE rule to this non-UK dataset would double the proportion of CT scans, with an apparent small gain in delayed pick-up of CT abnormalities. The role of expectant observation in hospital or at home needs to be defined.

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Year:  2010        PMID: 20573733     DOI: 10.1136/adc.2009.174854

Source DB:  PubMed          Journal:  Arch Dis Child        ISSN: 0003-9888            Impact factor:   3.791


  6 in total

Review 1.  Italian guidelines on the assessment and management of pediatric head injury in the emergency department.

Authors:  Liviana Da Dalt; Niccolo' Parri; Angela Amigoni; Agostino Nocerino; Francesca Selmin; Renzo Manara; Paola Perretta; Maria Paola Vardeu; Silvia Bressan
Journal:  Ital J Pediatr       Date:  2018-01-15       Impact factor: 2.638

Review 2.  A systematic review of studies comparing diagnostic clinical prediction rules with clinical judgment.

Authors:  Sharon Sanders; Jenny Doust; Paul Glasziou
Journal:  PLoS One       Date:  2015-06-03       Impact factor: 3.240

3.  A prospective observational study to assess the diagnostic accuracy of clinical decision rules for children presenting to emergency departments after head injuries (protocol): the Australasian Paediatric Head Injury Rules Study (APHIRST).

Authors:  Franz E Babl; Mark D Lyttle; Silvia Bressan; Meredith Borland; Natalie Phillips; Amit Kochar; Stuart R Dalziel; Sarah Dalton; John A Cheek; Jeremy Furyk; Yuri Gilhotra; Jocelyn Neutze; Brenton Ward; Susan Donath; Kim Jachno; Louise Crowe; Amanda Williams; Ed Oakley
Journal:  BMC Pediatr       Date:  2014-06-13       Impact factor: 2.125

Review 4.  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

5.  Large Variety of Medical Specialties Involved in Management of Pediatric Minor Traumatic Head Injury in the Netherlands.

Authors:  Nicky Niele; Lonneke Willemars; Marlies van Houten; Frans B Plötz
Journal:  Glob Pediatr Health       Date:  2019-04-26

6.  Clinical Practice Experiences in Diagnosis and Treatment of Traumatic Brain Injury in Children: A Survey among Clinicians at 9 Large Hospitals in China.

Authors:  Fei Di; Qi Gao; Joe Xiang; Di Zhang; Xiuquan Shi; Xueqiang Yan; Huiping Zhu
Journal:  PLoS One       Date:  2015-11-13       Impact factor: 3.240

  6 in total

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