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A retrospective register study comparing fibrinogen treated trauma patients with an injury severity score matched control group.回顾性登记研究比较了纤维蛋白原治疗的创伤患者和损伤严重程度评分匹配的对照组。
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本文引用的文献

1
Review: Traumatic brain injury and hyperglycemia, a potentially modifiable risk factor.综述:创伤性脑损伤与高血糖——一个潜在的可改变风险因素。
Oncotarget. 2016 Oct 25;7(43):71052-71061. doi: 10.18632/oncotarget.11958.
2
The Negative Impact of Anemia in Outcome from Traumatic Brain Injury.贫血对创伤性脑损伤预后的负面影响。
World Neurosurg. 2016 Jun;90:82-90. doi: 10.1016/j.wneu.2016.02.076. Epub 2016 Feb 24.
3
30-Day In-hospital Trauma Mortality in Four Urban University Hospitals Using an Indian Trauma Registry.利用印度创伤登记系统对四家城市大学医院30天内创伤患者的院内死亡率进行研究。
World J Surg. 2016 Jun;40(6):1299-307. doi: 10.1007/s00268-016-3452-y.
4
Analysis of the correlation between blood glucose level and prognosis in patients younger than 18 years of age who had head trauma.分析颅脑外伤后 18 岁以下患者血糖水平与预后的相关性。
World J Emerg Surg. 2015 Feb 24;10:8. doi: 10.1186/s13017-015-0010-0. eCollection 2015.
5
Multivariate outcome prediction in traumatic brain injury with focus on laboratory values.颅脑损伤的多变量结局预测,重点关注实验室指标。
J Neurotrauma. 2012 Nov 20;29(17):2613-24. doi: 10.1089/neu.2012.2468. Epub 2012 Nov 14.
6
Association of hemoglobin concentration and mortality in critically ill patients with severe traumatic brain injury.重症创伤性脑损伤患者血红蛋白浓度与死亡率的关联
Crit Care. 2012 Jul 20;16(4):R128. doi: 10.1186/cc11431.
7
An Observational Study of Blood Glucose Levels during Admission and 24 Hours Post-Operation in a Sample of Patients with Traumatic Injury in a Hospital in Kuala Lumpur.吉隆坡一家医院创伤性损伤患者样本入院期间及术后24小时血糖水平的观察性研究。
Malays J Med Sci. 2011 Oct;18(4):69-77.
8
Hemoglobin levels and transfusions in neurocritically ill patients: a systematic review of comparative studies.神经重症患者的血红蛋白水平与输血:比较研究的系统评价
Crit Care. 2012 Dec 12;16(2):R54. doi: 10.1186/cc11293.
9
Initial hematocrit in trauma: a paradigm shift?创伤患者的初始红细胞压积:范式转变?
J Trauma Acute Care Surg. 2012 Jan;72(1):54-9; discussion 59-60. doi: 10.1097/TA.0b013e31823d0f35.
10
Acute kidney injury in patients with severe traumatic brain injury: implementation of the acute kidney injury network stage system.严重创伤性脑损伤患者的急性肾损伤:急性肾损伤网络分期系统的实施。
Neurocrit Care. 2011 Jun;14(3):377-81. doi: 10.1007/s12028-011-9511-1.

创伤人群实验室参数的分布情况。

Distribution of Laboratory Parameters in Trauma Population.

作者信息

Bhandarkar Prashant, Pal Ranabir, Munivenkatappa Ashok, Roy Nobhojit, Kumar Vineet, Agrawal Amit

机构信息

Department of Statistics, Bhabha Atomic Research Centre, Mumbai, Maharashtra, India.

Department of Community Medicine, ESIC Medical College and Hospital, Faridabad, Haryana, India.

出版信息

J Emerg Trauma Shock. 2018 Jan-Mar;11(1):10-14. doi: 10.4103/JETS.JETS_70_17.

DOI:10.4103/JETS.JETS_70_17
PMID:29628663
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5852909/
Abstract

BACKGROUND

Biochemical laboratory investigations help plan optimum management and communication in short- as well as long-term outcome to trauma victims.

OBJECTIVE

To assess the status of real-time values of biochemical laboratory investigations of different trauma patients and their association with overall mortality.

MATERIALS AND METHODS

Data based on prospective, observational registry of "Towards Improved Trauma Care Outcomes" (TITCO) from four Indian city hospitals. Hemoglobin, hematocrit, random blood sugar, blood urea nitrogen (BUN), and serum creatinine of patients on admission were recorded. Logistic regression was applied with all biochemical investigation as independent variable and overall mortality as dependent variable.

RESULTS

Among 17047 trauma patients, 3456 with available laboratory result details were considered for this study. Overall mortality was 20% (range 14%-21%). For the higher laboratory results, value mortality was 21%-70%, with highest death (70%) for higher hemoglobin patients, followed by hematocrit (44%) and then creatinine (43%). Odds of high hemoglobin compared to normal were 15.20; odds of higher and lower of normal creatinine were 3.80 and 1.65 and for BUN were 2.17 and 1.92, respectively. Gender-wise significant difference was in overall female mortality (29%)% compared males (18%). Similar differences were replicated with results of each laboratory tests.

CONCLUSION

The study ascertained the composite additional explanatory values of laboratory parameters in predicting outcome among injured patients in our population from Indian settings.

摘要

背景

生化实验室检查有助于规划对创伤患者短期和长期预后的最佳管理与沟通。

目的

评估不同创伤患者生化实验室检查实时值的状况及其与总体死亡率的关联。

材料与方法

基于印度四家城市医院“改善创伤护理结果”(TITCO)前瞻性观察登记的数据。记录患者入院时的血红蛋白、血细胞比容、随机血糖、血尿素氮(BUN)和血清肌酐。将所有生化检查作为自变量,总体死亡率作为因变量进行逻辑回归分析。

结果

在17047例创伤患者中,本研究纳入了3456例有可用实验室检查结果详细信息的患者。总体死亡率为20%(范围14%-21%)。对于较高的实验室检查结果,值死亡率为21%-70%,血红蛋白较高的患者死亡率最高(70%),其次是血细胞比容(44%),然后是肌酐(43%)。血红蛋白高于正常的比值比为15.20;肌酐高于和低于正常的比值比分别为3.80和1.65,血尿素氮的比值比分别为2.17和1.92。按性别划分,总体女性死亡率(29%)与男性(18%)存在显著差异。每个实验室检查结果都呈现出类似的差异。

结论

该研究确定了在印度背景下我们人群中受伤患者的实验室参数在预测预后方面的综合附加解释价值。