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重复测量血乳酸水平预测病死率优于乳酸清除率。

Repeat lactate level predicts mortality better than rate of clearance.

机构信息

Department of Emergency Medicine, University of Maryland School of Medicine, Baltimore, MD, United States.

Children's Hospital Colorado, Denver, CO, United States.

出版信息

Am J Emerg Med. 2018 Nov;36(11):2005-2009. doi: 10.1016/j.ajem.2018.03.012. Epub 2018 Mar 7.

Abstract

BACKGROUND

Lactate clearance has been developed into a marker of resuscitation in trauma, but no study has compared the predictive power of the various clearance calculations. Our objective was to determine which method of calculating lactate clearance best predicted 24-hour and in-hospital mortality after injury.

STUDY DESIGN

Retrospective chart review of patients admitted to a Level-1 trauma center directly from the scene of injury from 2010 to 2013 who survived >15min, had an elevated lactate at admission (≥3mmol/L), followed by another measurement within 24h of admission. Lactate clearance was calculated using five models: actual value of the repeat level, absolute clearance, relative clearance, absolute rate, and relative rate. Models were compared using the areas under the respective receiver operating curves (AUCs), with an endpoint of death at 24h and in-hospital mortality.

RESULTS

3910 patients had an elevated admission lactate concentration on admission (mean=5.6±3.0mmol/L) followed by a second measurement (2.7±1.8mmol/L). Repeat absolute measurement best predicted 24-hour (AUC=0.85, 95% CI: 0.84-0.86) and in-hospital death (AUC=0.77; 95% CI, 0.76-0.78). Relative clearance was the best model of lactate clearance (AUC=0.77, 95% CI: 0.75-0.78 and AUC=0.705, 95% CI: 0.69-72, respectively) (p<0.0001 for each). A sensitivity analysis using a range of initial lactate measures yielded similar results.

CONCLUSIONS

The absolute value of the repeat lactate measurement had the greatest ability to predict mortality in injured patients undergoing resuscitation.

摘要

背景

乳酸清除率已被发展为创伤复苏的标志物,但尚无研究比较各种清除率计算方法的预测能力。我们的目的是确定计算乳酸清除率的哪种方法最能预测损伤后 24 小时和住院期间的死亡率。

研究设计

回顾性分析 2010 年至 2013 年期间从创伤现场直接收治到一级创伤中心的患者的病历,这些患者存活时间超过 15min,入院时乳酸水平升高(≥3mmol/L),随后在入院后 24h 内再次测量。使用 5 种模型计算乳酸清除率:重复测量的实际值、绝对清除率、相对清除率、绝对清除率和相对清除率。使用各自的接收者操作曲线(ROC)下面积(AUC)比较模型,终点为 24 小时和住院期间的死亡率。

结果

3910 例患者入院时的初始乳酸浓度升高(平均值=5.6±3.0mmol/L),随后进行了第二次测量(2.7±1.8mmol/L)。重复的绝对测量最能预测 24 小时(AUC=0.85,95%CI:0.84-0.86)和住院期间的死亡(AUC=0.77;95%CI,0.76-0.78)。相对清除率是乳酸清除率的最佳模型(AUC=0.77,95%CI:0.75-0.78 和 AUC=0.705,95%CI:0.69-0.72,分别)(p<0.0001)。使用初始乳酸测量值的范围进行的敏感性分析得出了类似的结果。

结论

在接受复苏治疗的创伤患者中,重复测量的乳酸绝对值最能预测死亡率。

相似文献

1
Repeat lactate level predicts mortality better than rate of clearance.重复测量血乳酸水平预测病死率优于乳酸清除率。
Am J Emerg Med. 2018 Nov;36(11):2005-2009. doi: 10.1016/j.ajem.2018.03.012. Epub 2018 Mar 7.
5
Lactate clearance as a predictor of mortality in trauma patients.乳酸清除率作为创伤患者死亡率的预测指标。
J Trauma Acute Care Surg. 2013 Apr;74(4):999-1004. doi: 10.1097/TA.0b013e3182858a3e.

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