Jeng James C, Jablonski Kathleen, Bridgeman Amy, Jordan Marion H
The Burn Center, Washington Hospital Center, 110 Irving Street NW, Washington, DC 20010, USA.
Burns. 2002 Mar;28(2):161-6. doi: 10.1016/s0305-4179(01)00098-5.
Clinical studies document correlation of serum lactate and base deficit with mortality in trauma and sepsis. No study of the prognostic value of these two serum markers has been reported in burn injury.
Resuscitation data from 49 patients admitted to the adult Burn ICU were analyzed. Lactate and base deficit were analyzed upon admission and every 2h during the initial 48 h after admission. Resuscitation was managed per standard routine, blinded to these data, guided by the Parkland formula. Initial statistical analysis with Cox's regression model was used to determine the relationship between survival, resuscitation parameters, and demographics. Then, a logistic regression was used to determine if any of these variables were quickly predictive (initial values) of the risk of death.
Two variables were predictive of mortality by the Cox regression model: (1) serum lactate value and (2) patient age. Furthermore, analysis by logistic regression revealed that the initial serum lactate value was separately predictive of mortality.
In this study, serum lactate but not base deficit, was a predictor of mortality following major burns. Moreover, initial serum lactate values were also predictive of mortality separately.
临床研究证明,血清乳酸和碱缺失与创伤及脓毒症患者的死亡率相关。尚未有关于这两种血清标志物对烧伤患者预后价值的研究报道。
分析了收治于成人烧伤重症监护病房的49例患者的复苏数据。入院时及入院后最初48小时内每2小时分析一次乳酸和碱缺失情况。复苏按照标准常规进行,在帕克兰公式的指导下进行,对这些数据设盲。最初采用Cox回归模型进行统计分析,以确定生存、复苏参数和人口统计学之间的关系。然后,采用逻辑回归分析来确定这些变量中是否有任何一个能够快速预测(初始值)死亡风险。
Cox回归模型显示有两个变量可预测死亡率:(1)血清乳酸值和(2)患者年龄。此外,逻辑回归分析表明,初始血清乳酸值可单独预测死亡率。
在本研究中,血清乳酸而非碱缺失是严重烧伤后死亡率的预测指标。此外,初始血清乳酸值也可单独预测死亡率。