• Kent P Hymel, Ming Wang, Vernon M Chinchilli, Wouter A Karst, Douglas F Willson, Mark S Dias, Bruce E Herman, Christopher L Carroll, Suzanne B Haney, Reena Isaac, and Pediatric Brain Injury Research Network (PediBIRN) Investigators.
• Department of Pediatrics, Penn State College of Medicine, Penn State Health Children's Hospital, Hershey, PA, United States. Electronic address: kphymel@gmail.com.
• Child Abuse Negl. 2019 Feb 1; 88: 266-274.

BackgroundEvidence-based, patient-specific estimates of abusive head trauma probability can inform physicians' decisions to evaluate, confirm, exclude, and/or report suspected child abuse.ObjectiveTo derive a clinical prediction rule for pediatric abusive head trauma that incorporates the (positive or negative) predictive contributions of patients' completed skeletal surveys and retinal exams.Participants And Setting500 acutely head-injured children under three years of age hospitalized for intensive care at one of 18 sites between 2010 and 2013.MethodsSecondary analysis of an existing, cross-sectional, prospective dataset, including (1) multivariable logistic regression to impute the results of abuse evaluations never ordered or completed, (2) regularized logistic regression to derive a novel clinical prediction rule that incorporates the results of completed abuse evaluations, and (3) application of the new prediction rule to calculate patient-specific estimates of abusive head trauma probability for observed combinations of its predictor variables.ResultsApplying a mean probability threshold of >0.5 to classify patients as abused, the 7-variable clinical prediction rule derived in this study demonstrated sensitivity 0.73 (95% CI: 0.66-0.79) and specificity 0.87 (95% CI: 0.82-0.90). The area under the receiver operating characteristics curve was 0.88 (95% CI: 0.85-0.92). Patient-specific estimates of abusive head trauma probability for 72 observed combinations of its seven predictor variables ranged from 0.04 (95% CI: 0.02-0.08) to 0.98 (95% CI: 0.96-0.99).ConclusionsSeven variables facilitate patient-specific estimation of abusive head trauma probability after abuse evaluation in intensive care settings.Copyright © 2018 Elsevier Ltd. All rights reserved.

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