Use of out-of-hospital variables to predict severity of injury in pediatric patients involved in motor vehicle crashes.
Use of out-of-hospital variables to predict severity of injury in pediatric patients involved in motor vehicle crashes.
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DOI:
10.1067/mem.2002.123549
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发表时间:
2002-05
影响因子:
6.2
通讯作者:
C. Newgard;Roger J Lewis;Roger J. Lewis;B. Jolly
中科院分区:
文献类型:
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作者:
C. Newgard;Roger J Lewis;Roger J. Lewis;B. Jolly
STUDY OBJECTIVE We sought to create a clinical decision rule, on the basis of variables available to out-of-hospital personnel, that could be used to accurately predict severe injury in pediatric patients involved in motor vehicle crashes as occupants. METHODS We analyzed the National Automotive Sampling System database, a national probability sample, using pediatric patients up to 15 years old (occupants only) involved in motor vehicle crashes from January 1993 to December 1999. The National Automotive Sampling System database includes patients from regions throughout the country, weighted to represent a nationwide sample. Twelve out-of-hospital variables were used in classification and regression tree analysis to create a decision rule separating children with severe injuries (Injury Severity Score [ISS] > or =16) from those with minor injuries (ISS or =6 in [> or =15 cm], and restraint use) to predict those patients with an ISS of 16 or more. Internal cross-validation was used to determine the sensitivity and specificity, yielding values of 92% and 73%, respectively, for the prediction of patients with an ISS of 16 or more. CONCLUSION Out-of-hospital variables available to field personnel could be used to effectively triage pediatric motor vehicle crash patients using the decision rule developed here. Prospective trials would be needed to test this decision rule in actual use.