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[预测严重创伤后结局的量表]

[Scales for predicting outcome after severe trauma].

作者信息

Ali Ali B, Fortún Moral M, Belzunegui Otano T, Reyero Díez D, Castro Neira M

机构信息

Servicio Navarro de Salud-Osasunbidea.

出版信息

An Sist Sanit Navar. 2017 Apr 30;40(1):103-118. doi: 10.23938/ASSN.001.

DOI:10.23938/ASSN.001
PMID:28303032
Abstract

In this article we review the development of the most-used scales for severe trauma patients over the past 40 years. It is well known that anatomical scales are effective for measuring the severity of injuries and for predicting results. Physiological scales measure the dynamic component after trauma, with a great influence on the prognosis of injured patients. Metabolic scales, both lactate and base deficit, are reflections of tissue hypoperfusion states and therefore shock. The combined scales are used for prediction and comparative assessment of results. The inclusion of factors that influence the prognosis of trauma patients has led to the development of new scales. However, they lack external validation studies for their widespread use. Until these validation studies are conducted caution should be taken with the use of existing scales.

摘要

在本文中,我们回顾了过去40年中用于严重创伤患者的最常用量表的发展情况。众所周知,解剖学量表在测量损伤严重程度和预测结果方面很有效。生理学量表测量创伤后的动态因素,对受伤患者的预后有很大影响。代谢量表,包括乳酸和碱缺失,反映了组织灌注不足状态,进而反映休克状态。综合量表用于预测和比较结果评估。纳入影响创伤患者预后的因素促使了新量表的发展。然而,它们缺乏广泛应用所需的外部验证研究。在进行这些验证研究之前,使用现有量表时应谨慎。

相似文献

1
[Scales for predicting outcome after severe trauma].[预测严重创伤后结局的量表]
An Sist Sanit Navar. 2017 Apr 30;40(1):103-118. doi: 10.23938/ASSN.001.
2
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[The methodology for the objective assessment of trauma severity (I. The assessment of the severity of mechanical injuries)].
Vestn Khir Im I I Grek. 1997;156(2):55-9.
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Epidemiology and early predictive factors of mortality and outcome in children with traumatic severe brain injury: experience of a French pediatric trauma center.创伤性重型脑损伤患儿死亡率及预后的流行病学和早期预测因素:一家法国儿科创伤中心的经验
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Discrepancy between heart rate and makers of hypoperfusion is a predictor of mortality in trauma patients.心率与低灌注指标之间的差异是创伤患者死亡率的一个预测指标。
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Ann Surg. 2008 Feb;247(2):320-6. doi: 10.1097/SLA.0b013e318162d616.

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An Sist Sanit Navar. 2024 Aug 29;47(2):e1085. doi: 10.23938/ASSN.1085.
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