实验动物与比较医学 ›› 2014, Vol. 34 ›› Issue (5): 389-392.DOI: 10.3969/j.issn.1674-5817.2014.05.009

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溶血对大鼠生化指标的影响及其结果校正关系的探讨

刘珍清, 王晓波, 刘颖   

  1. 北京中医药大学科研实验中心,北京 100029
  • 收稿日期:2014-02-25 出版日期:2014-10-25 发布日期:2014-10-25
  • 作者简介:刘珍清(1965-), 女, 高级实验师, 研究方向:医学检验, E-mail:lzq9876@sina.com
  • 基金资助:
    北京中医药大学自主选题项目(No.2013-SYJS-05)

Effect of Hemolysis on Value of Biochemical Indicators in Rat Serum and Its Correlation Analysis

LIU Zhen-qing, WANG Xiao-bo, LIU Ying   

  1. Center of Scientific Experiment , Beijing University of Chinese Medicine, Beijing 100029, China
  • Received:2014-02-25 Online:2014-10-25 Published:2014-10-25

摘要: 目的 探讨不同溶血程度对生化指标的影响,并对溶血与生化指标变化值的相关性进行回归分析。方法 用全自动生化分析仪测定大鼠的不同溶血度血清样本中磷(P)、尿酸(UA)、甘油三酯(TG)、总胆固醇(TC)、总蛋白(TP)、碱性磷酸酶(ALP)、尿素氮(BUN)、白蛋白(ALB)、血糖(GLU)生化指标值。结果 轻度溶血对生化指标测定值影响不大;中度和重度溶血对P、UA、TC、TP、ALP、BUN、ALB的指标测定值有影响,中度和重度溶血血清与正常血清生化指标测定值之间的差异有统计学意义(P<0.05); 重度溶血对TG的指标测定值有影响,重度溶血血清与正常血清生化指标测定值之间的差异有统计学意义(P<0.05); 不同程度溶血对GLU的测定值影响不大,差异无统计学意义(P>0.05)。结论 不同程度的溶血对生化常规指标值产生不同程度的影响,不同生化指标的检测结果可采用相关回归方程进行校正。

关键词: 溶血, 大鼠, 生化指标, 相关性分析

Abstract: Objective To investigate the effect of hemolysis on the value of biochemical indicators and the correlation and regression analysis between the level of hemolysis with the change of the value of biochemical indicators. Method The value of phosphorus (P), uric acid (UA), triglycerides (TG), total cholesterol (TC), total protein (TP), alkaline phosphatase (ALP), blood urea nitrogen (BUN), albumin (ALB) and glucose (GLU) in rat serum with different degrees of hemolysis wrer detected. Result Mild hemolysis has little effect on the value of biochemical indicators, while moderate and severe hemolysis affect the value measured by the biochemical analyzer of P, UA, TC, TP, ALP, BUN, ALB changes in the value of its differences between with the normal values has the statistical variation significance (P<0.05). Meanwhile, severe hemolysis impact the value of indicators of TG, and the difference was statistically significant (P<0.05). But different degrees of hemolysis has no effect of the value of GLU, the difference was not statistically significant (P>0.05). Conclusion Different levels of hemolysis have different effects on conventional values of biochemical indicators, and different regression equations can be used to correct the value of different biochemical markers.

Key words: Hemolysis, Rat, Biochemical indicators, Correlation analysis

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