Comparison of trauma scoring systems for predicting mortality in firearm injuries.

Comparison of trauma scoring systems for predicting mortality in firearm injuries.
复制标题

用于预测枪伤死亡率的创伤评分系统的比较。

DOI:
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发表时间:
2009
期刊:
Ulusal travma ve acil cerrahi dergisi = Turkish journal of trauma & emergency surgery : TJTES
影响因子:
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通讯作者:
H. Ozgüç
H. Ozgüç
中科院分区:
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文献类型:
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作者:
Ozlem Köksal;F. Ozdemir;M. Bulut;Ş. Aydın;M. L. Almacioğlu;H. Ozgüç

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背景 创伤患者死亡率的预测是创伤救治的重要组成部分。创伤评分系统是目前用于预测死亡率的方法。目的评价和比较火器伤损伤严重度评分(ISS)和新伤严重度评分(NISS)的表现。 方法 对2001年1月至2005年12月向乌鲁达格大学急诊科就诊的135例火器伤患者的临床资料进行回顾性分析。收集所有患者的年龄、性别、损伤原因、初始生命体征、损伤部位、格拉斯哥昏迷评分(GCS)、修订创伤评分(RTS)、死亡率、手术资料和最终诊断,并计算ISS、NISS和创伤和损伤严重程度评分(TRISS)。 结果 病死率12.6%。平均GCS为13.41±-0.31,RTS为10.65±-0.26,ISS为17.04±-1.20,NISS为21.94±-1.45,TRISS为9.52+/-2.37。患者分为ISS=NISS组(53.3%)和ISS+lt;NISS组(46.7%)。 结论 ISS和NISS在枪伤死亡率预测方面都表现良好。在预测这些患者的死亡率方面,NISS并没有显示出优于ISS的优势。
BACKGROUND Prediction of mortality in trauma patients is an important part of trauma care. Trauma scoring systems are the current methods used for prediction of mortality. We aimed to evaluate and compare the performances of Injury Severity Score (ISS) and New Injury Severity Score (NISS) in firearm injuries. METHODS Records of 135 firearm-injured patients who applied to Uludag University Emergency Department between January 2001 and December 2005 were analyzed retrospectively. All patients' data, including age, gender, cause of injury, initial vital signs, injury region, Glasgow Coma Scale (GCS), Revised Trauma Score (RTS), mortality, operation data, and final diagnosis, were collected, and ISS, NISS and Trauma and Injury Severity Score (TRISS) were calculated. RESULTS Mortality rate was 12.6%. The patients' mean GCS, RTS, ISS, NISS, and TRISS scores were 13.41 +/- 0.31, 10.65 +/- 0.26, 17.04 +/-1.20, 21.94 +/- 1.45, and 9.52 +/- 2.37, respectively. The patients were divided into two groups as ISS = NISS (53.3%) and ISS < NISS (46.7%). CONCLUSION ISS and NISS both performed well in mortality prediction of firearm injuries. NISS demonstrated no superiority to ISS for prediction of mortality in these patients.