Literature DB >> 29306237

Pediatric Emergency Care Applied Research Network head injuryprediction rules: on the basis of cost and effectiveness

Fatma Dilek Gökharman, Sonay Aydın, Erdem Fatihoğlu, Pınar Nercis Koşar.   

Abstract

Background/aim: Head injuries are commonly seen in the pediatric population. Noncontrast enhanced cranial CT is the method of choice to detect possible traumatic brain injury (TBI). Concerns about ionizing radiation exposure make the evaluation more challenging. The aim of this study was to evaluate the effectiveness of the Pediatric Emergency Care Applied Research Network (PECARN) rules in predicting clinically important TBI and to determine the amount of medical resource waste and unnecessary radiation exposure.Materials and methods: This retrospective study included 1041 pediatric patients presented to the emergency department. The patients were divided into subgroups of "appropriate for cranial CT", "not appropriate for cranial CT" and "cranial CT/observation of patient; both are appropriate". To determine the effectiveness of the PECARN rules, data were analyzed according to the presence of pathological findings
Results: "Appropriate for cranial CT" results can predict pathology presence 118,056-fold compared to the "not appropriate for cranial CT" results. With "cranial CT/observation of patient; both are appropriate" results, pathology presence was predicted 11,457-fold compared to "not appropriate for cranial CT" results.
Conclusion: PECARN rules can predict pathology presence successfully in pediatric TBI. Using PECARN can decrease resource waste and exposure to ionizing radiation.

Entities:  

Keywords:  Pediatric Emergency Care Applied Research Network; cost; effectiveness; computed tomography

Mesh:

Year:  2017        PMID: 29306237     DOI: 10.3906/sag-1703-206

Source DB:  PubMed          Journal:  Turk J Med Sci        ISSN: 1300-0144            Impact factor:   0.973


  4 in total

1.  Effects of dodder total flavone on polycystic ovary syndrome rat models induced by DHEA combined HCG.

Authors:  Mingsan Miao; Mengfan Peng; Zhengwang Zhu; Xiaoli Yan; Zhenzhen Wei; Mengyan Li
Journal:  Saudi J Biol Sci       Date:  2019-02-19       Impact factor: 4.219

Review 2.  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

3.  Are we aware of radiation: A study about necessity of diagnostic X-ray exposure.

Authors:  Erdal Karavas; Bunyamin Ece; Sonay Aydın; Mehmet Kocak; Zeliha Cosgun; Isil Esen Bostanci; Mecit Kantarci
Journal:  World J Methodol       Date:  2022-07-20

Review 4.  Developing a framework for evidence-based grading and assessment of predictive tools for clinical decision support.

Authors:  Mohamed Khalifa; Farah Magrabi; Blanca Gallego
Journal:  BMC Med Inform Decis Mak       Date:  2019-10-29       Impact factor: 2.796

  4 in total

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