Elise Springer1, S Barron Frazier1, Donald H Arnold2, Adam A Vukovic3. 1. Department of Pediatrics, Division of Pediatric Emergency Medicine, Vanderbilt University Medical Center, 2200 Children's Way Suite 1025, Nashville, TN 37232, USA. 2. Department of Pediatrics, Division of Pediatric Emergency Medicine, Vanderbilt University Medical Center, 2200 Children's Way Suite 1025, Nashville, TN 37232, USA; Department of Pediatrics, Division of Pulmonary Medicine and the Center for Asthma Research, Vanderbilt University School of Medicine, 2200 Children's Way, Nashville, TN 37232, USA. 3. Department of Pediatrics, Division of Pediatric Emergency Medicine, Vanderbilt University Medical Center, 2200 Children's Way Suite 1025, Nashville, TN 37232, USA. Electronic address: Adam.a.vukovic@vumc.org.
Abstract
BACKGROUND: Computed tomography (CT) is frequently used to identify intra-abdominal injuries in children with blunt abdominal trauma (BAT). The Pediatric Emergency Care Applied Research Network (PECARN) proposed a prediction rule to identify children with BAT who are at very low risk for clinically-important intra-abdominal injuries (CIIAI) in whom CT can be avoided. OBJECTIVE: To determine the sensitivity of this prediction rule in identifying patients at very low risk for CIIAI in our pediatric trauma registry. METHODS: Retrospective review of our institutional trauma registry to identify patients with CIIAI. CIIAI included cases resulting in death, therapeutic intervention at laparotomy, angiographic embolization of intra-abdominal arterial bleeding, blood transfusion for intra-abdominal hemorrhage, and administration of intravenous fluids for two or more nights for pancreatic or gastrointestinal injuries. Patients were identified using ICD diagnosis and procedure codes. Kappa was calculated to evaluate inter-reviewer agreement. RESULTS: Of 5743 patients, 133 (2.3%) had CIIAI. 60% were male and the mean age was 8 (SD 4.4) years. One patient with CIIAI met the proposed very low risk criteria, resulting in a prediction rule sensitivity of 99%, 95% CI [96-100%]. This patient also had extra-abdominal arterial bleeding requiring revascularization, offering an alternative reason for transfusion. Kappa was 0.85, 95% CI [0.82, 0.89], indicating strong inter-rater agreement. CONCLUSIONS: One out of 133 patients with CIIAI met very low risk criteria based on the PECARN prediction rule. This study supports the PECARN clinical prediction rule in decreasing CT use in pediatric patients at very low risk for CIIAI.
BACKGROUND: Computed tomography (CT) is frequently used to identify intra-abdominal injuries in children with blunt abdominal trauma (BAT). The Pediatric Emergency Care Applied Research Network (PECARN) proposed a prediction rule to identify children with BAT who are at very low risk for clinically-important intra-abdominal injuries (CIIAI) in whom CT can be avoided. OBJECTIVE: To determine the sensitivity of this prediction rule in identifying patients at very low risk for CIIAI in our pediatric trauma registry. METHODS: Retrospective review of our institutional trauma registry to identify patients with CIIAI. CIIAI included cases resulting in death, therapeutic intervention at laparotomy, angiographic embolization of intra-abdominal arterial bleeding, blood transfusion for intra-abdominal hemorrhage, and administration of intravenous fluids for two or more nights for pancreatic or gastrointestinal injuries. Patients were identified using ICD diagnosis and procedure codes. Kappa was calculated to evaluate inter-reviewer agreement. RESULTS: Of 5743 patients, 133 (2.3%) had CIIAI. 60% were male and the mean age was 8 (SD 4.4) years. One patient with CIIAI met the proposed very low risk criteria, resulting in a prediction rule sensitivity of 99%, 95% CI [96-100%]. This patient also had extra-abdominal arterial bleeding requiring revascularization, offering an alternative reason for transfusion. Kappa was 0.85, 95% CI [0.82, 0.89], indicating strong inter-rater agreement. CONCLUSIONS: One out of 133 patients with CIIAI met very low risk criteria based on the PECARN prediction rule. This study supports the PECARN clinical prediction rule in decreasing CT use in pediatric patients at very low risk for CIIAI.
Authors: Adam P Sigal; Traci Deaner; Sam Woods; Elizabeth Mannarelli; Alison L Muller; Anthony Martin; Alexis Schoener; McKenna Brower; Adrian Ong; Thomas Geng; Felipe Guillen; Brian Lahmann; Tom Wasser; Christopher Valente Journal: J Am Coll Emerg Physicians Open Date: 2022-01-15