Literature DB >> 23314183

Derivation of a clinical prediction rule for pediatric abusive head trauma.

Kent P Hymel1, Douglas F Willson, Stephen C Boos, Deborah A Pullin, Karen Homa, Douglas J Lorenz, Bruce E Herman, Jeanine M Graf, Reena Isaac, Veronica Armijo-Garcia, Sandeep K Narang.   

Abstract

OBJECTIVES: Abusive head trauma is a leading cause of traumatic death and disability during infancy and early childhood. Evidence-based screening tools for abusive head trauma do not exist. Our research objectives were 1) to measure the predictive relationships between abusive head trauma and isolated, discriminating, and reliable clinical variables and 2) to derive a reliable, sensitive, abusive head trauma clinical prediction rule that-if validated-can inform pediatric intensivists' early decisions to launch (or forego) an evaluation for abuse.
DESIGN: Prospective, multicenter, cross-sectional, observational.
SETTING: Fourteen PICUs. PATIENTS: Acutely head-injured children less than 3 years old admitted for intensive care.
INTERVENTIONS: None.
MEASUREMENTS AND MAIN RESULTS: Applying a priori definitional criteria for abusive head trauma, we identified clinical variables that were discriminating and reliable, calculated likelihood ratios and post-test probabilities of abuse, and applied recursive partitioning to derive an abusive head trauma clinical prediction rule with maximum sensitivity-to help rule out abusive head trauma, if negative. Pretest probability (prevalence) of abusive head trauma in our study population was 0.45 (95 of 209). Post-test probabilities of abusive head trauma for isolated, discriminating, and reliable clinical variables ranged from 0.1 to 0.86. Some of these variables, when positive, shifted probability of abuse upward greatly but changed it little when negative. Other variables, when negative, largely excluded abusive head trauma but increased probability of abuse only slightly when positive. Some discriminating variables demonstrated poor inter-rater reliability. A cluster of five discriminating and reliable variables available at or near the time of hospital admission identified 97% of study patients meeting a priori definitional criteria for abusive head trauma. Negative predictive value was 91%.
CONCLUSIONS: A more completeunderstanding of the specific predictive qualities of isolated, discriminating, and reliable variables could improve screening accuracy. If validated, a reliable, sensitive, abusive head trauma clinical prediction rule could be used by pediatric intensivists to calculate an evidence-based, patient-specific estimate of abuse probability that can inform-not dictate-their early decisions to launch (or forego) an evaluation for abuse.

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Year:  2013        PMID: 23314183     DOI: 10.1097/PCC.0b013e3182712b09

Source DB:  PubMed          Journal:  Pediatr Crit Care Med        ISSN: 1529-7535            Impact factor:   3.624


  14 in total

1.  Estimating the Relevance of Historical Red Flags in the Diagnosis of Abusive Head Trauma.

Authors:  Kent P Hymel; Gloria Lee; Stephen Boos; Wouter A Karst; Andrew Sirotnak; Suzanne B Haney; Antoinette Laskey; Ming Wang
Journal:  J Pediatr       Date:  2020-01-09       Impact factor: 4.406

2.  Estimating the probability of abusive head trauma after abuse evaluation.

Authors:  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
Journal:  Child Abuse Negl       Date:  2018-12-11

Review 3.  Screening and detection of elder abuse: Research opportunities and lessons learned from emergency geriatric care, intimate partner violence, and child abuse.

Authors:  Scott R Beach; Christopher R Carpenter; Tony Rosen; Phyllis Sharps; Richard Gelles
Journal:  J Elder Abuse Negl       Date:  2016-09-03

4.  Screening for pediatric abusive head trauma: Are three variables enough?

Authors:  Kent P Hymel; Wouter Karst; Mark Marinello; Bruce E Herman; Terra N Frazier; Christopher L Carroll; Veronica Armijo-Garcia; Matthew Musick; Kerri Weeks; Suzanne B Haney; Afshin Pashai; Ming Wang
Journal:  Child Abuse Negl       Date:  2022-01-22

5.  External Validation of the PediBIRN Screening Tool for Abusive Head Trauma in Pediatric Emergency Department Settings.

Authors:  Kent P Hymel; Amanda K Fingarson; Mary Clyde Pierce; Kim Kaczor; Kathi L Makoroff; Ming Wang
Journal:  Pediatr Emerg Care       Date:  2022-03-02       Impact factor: 1.602

6.  Deciding whether to screen for abusive head trauma: do we need a clinical decision rule?

Authors:  Rachel Berger; Thomas McGinn
Journal:  Pediatr Crit Care Med       Date:  2013-02       Impact factor: 3.624

7.  Racial and Ethnic Disparities and Bias in the Evaluation and Reporting of Abusive Head Trauma.

Authors:  Kent P Hymel; Antoinette L Laskey; Kathryn R Crowell; Ming Wang; Veronica Armijo-Garcia; Terra N Frazier; Kelly S Tieves; Robin Foster; Kerri Weeks
Journal:  J Pediatr       Date:  2018-03-29       Impact factor: 4.406

Review 8.  Non-accidental trauma in pediatric patients: a review of epidemiology, pathophysiology, diagnosis and treatment.

Authors:  Alexandra R Paul; Matthew A Adamo
Journal:  Transl Pediatr       Date:  2014-07

9.  A Cluster Randomized Trial to Reduce Missed Abusive Head Trauma in Pediatric Intensive Care Settings.

Authors:  Kent P Hymel; Veronica Armijo-Garcia; Matthew Musick; Mark Marinello; Bruce E Herman; Kerri Weeks; Suzanne B Haney; Terra N Frazier; Christopher L Carroll; Natalie N Kissoon; Reena Isaac; Robin Foster; Kristine A Campbell; Kelly S Tieves; Nina Livingston; Ashley Bucher; Maria C Woosley; Dorinda Escamilla-Padilla; Nancy Jaimon; Lucinda Kustka; Ming Wang; Vernon M Chinchilli; Mark S Dias; Jennie Noll
Journal:  J Pediatr       Date:  2021-03-31       Impact factor: 6.314

10.  The importance of nonlinear tissue modelling in finite element simulations of infant head impacts.

Authors:  Xiaogai Li; Håkan Sandler; Svein Kleiven
Journal:  Biomech Model Mechanobiol       Date:  2016-11-21
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