Validation of the Predictive Model for Operative Intervention after Blunt Abdominal Trauma in Children with Equivocal Computed Tomography Findings: A Multi-institutional Study

Author:

Lamoshi Abdulraouf1,Lay Raymond2,Wakeman Derek2,Edwards Mary3,Wallenstein Kim4,Fabiano Tiffany5,Singh Zorawar3,Zipkin Jacob3,Park Soyun6,Yu Jihnhee6,Chess Mitchell2,Vali Kaveh5

Affiliation:

1. Cohen Children's Medical Center

2. University of Rochester Medical Center

3. Albany Medical Center Hospital

4. Upstate Medical University

5. John R. Oishei Children's Hospital

6. University at Buffalo

Abstract

Abstract Background: We recently developed a preliminary predictive model identifying clinical and radiologic factors associated with the need for surgery following blunt abdominal trauma (BAT) in children. Our aim in this study was to further validate the factors in this predictive model in a multi-institutional study. Methods: A retrospective chart review of pediatric patients from five pediatric trauma centers who experienced BAT between 2011 to 2020 was performed. Patients under 18 years of age who had BAT and Computed Tomography(CT) abdomen imaging we included. Children with evidence of pneumoperitoneum, and hemodynamicinstability were excluded. Fisher's exact test was used for statistical analysis of the association between the following risk factors and need for laparotomy: Abdominal wall bruising (AWB), abdominal pain/tenderness (APT), thoracolumbar fracture (TLF), presence of free fluid (FF), presence of solid organ injury (SOI). A predictive logistic regression model was then estimated employing these factors. Findings: 734 patients were identified in this multi-institutional dataset with BAT and abdominal CT imaging, and 726 were included. Of those, 59 underwent surgical intervention (8.8%). Univariate analysis of association between the studied factors and need for surgical management showed that the presence of TLF (p < 0.01), APT (p < 0.01), FF (p < 0.01), and SOI (p < 0.01) were significantly associated. A predictive model was created using the 5 factors resulting in an Area Under the Curve (AUC) of 0.80. For the MVC group, only FF, SOI, and TLF are significantly associated with the need for surgical intervention. The AUC for the MVC group was 0.87. Conclusions: A clinical and radiologic prediction rule was validated using a large multi-institutional dataset of pediatric BAT patients, demonstrating a high degree of accuracy in identifying children who underwent surgery. FF, SOI, and TLF are the most important factors associated with the need for surgical intervention. Type of the study: Original research article, Retrospective multi-institutional study Level of Evidence: Level III

Publisher

Research Square Platform LLC

Reference21 articles.

1. "Predictive Model for Operative Intervention after Blunt Abdominal Trauma in Children with Equivocal CT Findings: A Pilot Study;Lamoshi Abdulraouf;Journal of Surgical Research,2020

2. Cass. "The predictors for positive yield abdominal computed tomography in pediatric abdominal trauma;Alzahem Abdulrahman M;Pediatric Emergency Care,2020

3. The epidemiology of seatbelt-associated injuries;Anderson PA;J Orthop Trauma,1992

4. Clinical judgment is superior to diagnostic tests in the management of pediatric small bowel injury;Moss RL;J Pediatr Surg,1996

5. Is computed tomography a useful adjunct to the clinical examination for the diagnosis of pediatric gastrointestinal perforation from blunt abdominal trauma in children?;Albanese CT;J Trauma Acute Care Surg,1996

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