Literature DB >> 29174350

Predicting Pediatric Patients Who Require Care at a Trauma Center: Analysis of Injuries and Other Factors.

Andrea N Doud1, Samantha L Schoell2, Jennifer W Talton3, Ryan T Barnard3, John K Petty1, J Wayne Meredith1, R Shayn Martin1, Joel D Stitzel2, Ashley A Weaver4.   

Abstract

BACKGROUND: Triage decision correctness for children in motor vehicle crashes can be affected by occult injuries. There is a need to develop a transfer score (TS) metric for children that can help quantify the likelihood that an injury is present that would require transfer to a trauma center (TC) from a non-TC, and improve triage decision making. Ultimately, the TS metric might be useful in an advanced automatic crash notification algorithm, which uses vehicle telemetry data to predict the risk of serious injury after a motor vehicle crash using an approach that includes metrics to describe injury severity, time sensitivity, and predictability. STUDY
DESIGN: Transfer score metrics were calculated in 4 pediatric age groups (0 to 4, 5 to 9, 10 to 14, 15 to 18 years) for the most frequent motor vehicle crash injuries using the proportions of children transferred to a TC or managed at a non-TC using the National Inpatient Sample years 1998 to 2007. To account for the maximum Abbreviated Injury Scale (MAIS) injury, a co-injury adjusted transfer score (TSMAIS) was calculated. The TS and TSMAIS range from 0 to 1, with 1 indicating highly transferred injuries.
RESULTS: Injuries in younger patients were more likely to be transferred (median TS 0.48, 0.35, 0.25, and 0.23 for 0 to 4, 5 to 9, 10 to 14, and 15 to 18 years, respectively). Injuries more likely to be transferred in younger children occurred in the thorax and abdomen. Regardless of age, spine (median TSMAIS 0.59), head (median TSMAIS 0.48), and thorax (median TSMAIS 0.46) injuries had the highest frequency for transfer.
CONCLUSIONS: The TS metrics quantitatively describe age-specific transfer practices for children with particular injuries. This information can be useful in advanced automatic crash notification systems to alert first responders to the possibility of occult injuries and reduce undertriage of commonly missed injuries.
Copyright © 2017 American College of Surgeons. Published by Elsevier Inc. All rights reserved.

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Year:  2017        PMID: 29174350     DOI: 10.1016/j.jamcollsurg.2017.09.018

Source DB:  PubMed          Journal:  J Am Coll Surg        ISSN: 1072-7515            Impact factor:   6.113


  2 in total

1.  Development of a concise injury severity prediction model for pediatric patients involved in a motor vehicle collision.

Authors:  Thomas R Hartka; Timothy McMurry; Ashley Weaver; Federico E Vaca
Journal:  Traffic Inj Prev       Date:  2021-10-21       Impact factor: 2.183

2.  Factors associated with EMS transport decisions for pediatric patients after motor vehicle collisions.

Authors:  Thomas Hartka; Federico E Vaca
Journal:  Traffic Inj Prev       Date:  2020-10-29       Impact factor: 1.491

  2 in total

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