MedElevator Войти в исследования
← Поиск публикаций

DOI 10.1097/ta.0000000000001418

Медицинская библиотека · The journal of trauma and acute care surgery · 2017

Disability risk in pediatric motor vehicle crash occupants.

Doud Andrea N, Schoell Samantha L, Weaver Ashley A, Talton Jennifer W, Barnard Ryan T, Petty John K, Stitzel Joel D

СтатьяПоддержка правительства СШАПоддержка исследования: вне правительства СШАПеревод в очереди

Аннотация

BACKGROUND

Mortality rates among children in motor vehicle crashes (MVCs) are typically low; however, nonfatal injuries can vary in severity by imposing differing levels of short- and long-term disability. To better discriminate the severity of nonfatal MVC injuries, a pediatric-specific disability risk (DR) metric was created.

METHODS

The National Automotive Sampling System 2000 to 2011 was used to define the top 95% most common Abbreviated Injury Scale (AIS) 2+ injuries among pediatric MVC occupants. Functional Independence Measure scores were abstracted from the National Trauma Data Bank 2002 to 2006. Multiple imputation was used to account for missing data. The DR and coinjury-adjusted DR (DRMAIS) of the most common AIS 2+ MVC-induced injuries were calculated for 7-year-old to 18-year-old children by determining the proportion of those disabled after an injury to those sustaining the injury. DR and DRMAIS values ranged from 0 to 1, representing 0% to 100% DR.

RESULTS

The mean DR and DRMAIS of all injuries were 0.290 and 0.191, respectively. DR and DRMAIS were greatest for injuries to the head (DR, 0.340; DRMAIS, 0.279), thorax (DR, 0.320; DRMAIS, 0.233), and spine (DR, 0.315; DRMAIS, 0.200). The mean DR and DRMAIS increased with increasing AIS severity but there was significant variation and overlapping values across AIS severity levels. Comparison of DRMAIS to coinjury-adjusted mortality risk (MRMAIS) revealed that among 118 injuries with MRMAIS of 0.000, DRMAIS ranged from 0.000 to 0.429.

CONCLUSION

Incorporation of DR metrics into injury severity metrics may improve the ability to distinguish between the severity of different nonfatal injuries. This is especially crucial in the pediatric population where permanent disability can result in a high number of years lost due to disability. The accuracy of such severity metrics is crucial to the success of pediatric triage algorithms such as Advanced Automatic Crash Notification algorithms.

LEVEL OF EVIDENCE: Epidemiologic/prognostic study, level III.

Для цитирования: Doud Andrea N, Schoell Samantha L, Weaver Ashley A, Talton Jennifer W, Barnard Ryan T, Petty John K, Stitzel Joel D. Disability risk in pediatric motor vehicle crash occupants.. The journal of trauma and acute care surgery. 2017. DOI: 10.1097/ta.0000000000001418.

Предметные рубрики MeSH

Подготовка и перевод публикации
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…

История · было → стало

Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.

Тип публикации указан по данным источника. Уровень доказательности автоматически не присваивается.