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首页> 外文期刊>Journal of clinical laboratory analysis. >Icteric human samples: Icterus index and method of estimating an interference‐free value for 16 biochemical analyses
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Icteric human samples: Icterus index and method of estimating an interference‐free value for 16 biochemical analyses

机译:人体样本:人体指数和16种生化分析的无干扰值估计方法

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BackgroundHemolysis, Icterus, and Lipemia constituting the HIL index, are the most common causes of interference with accurate measurement in biochemistry. This study focuses on bilirubin interference, aiming to identify the analyses impacted and proposing a way to predict nominal interference-free analyte concentrations, based on both analyte level and Icterus Index ( I subict/sub). MethodsSixteen common analytes were studied: alanine aminotransferase (ALT), albumin (ALB), alkaline phosphatase (ALP), amylase (AMY), aspartate aminotransferase (AST), total cholesterol (CHOLT), creatinine (CREA, enzymatic method), fructosamine (FRUC), gamma-glutamyl transferase (GGT), HDL cholesterol (HDLc), total iron (Iron), lipase (LIP), inorganic phosphorus (Phos), total protein (PROT), triglycerides (TG), and uric acid (UA). Both the traditional 10% change in concentrations from baseline and the Total Change Level (TCL) were taken as acceptance limits. Nineteen pools of sera covering a wide range of values were tested on the Cobas? 6000 (Roche Diagnostics). I subict/sub ranged from 0 to 60. ResultsEight analytes increased (FRUC and Phos) or decreased (CHOLT, CREA, HDLc, PROT, TG, and UA) significantly when I subict/sub increased. FRUC, HDLc, PROT, and UA showed a linear relationship when I subict/sub increased. A non-linear relationship was found for TG, CREA, and for CHOLT; this also depended on analyte levels. Others were not impacted, even at high I subict/sub. ConclusionsA method of estimating an interference-free value for FRUC, HDLc, PROT, Phos, UA, TG, and CREA, and for CHOLT in cases of cholestasis, is proposed. I subict/sub levels are identified based on analytical performance goals, and equations to recalculate interference-free values are also proposed.
机译:背景构成HIL指数的溶血,黄疸和血脂过多是干扰生物化学精确测量的最常见原因。这项研究的重点是胆红素干扰,旨在确定受影响的分析,并提出一种基于分析物水平和黄疸指数(I ict )预测标称无干扰分析物浓度的方法。方法研究了16种常见分析物:丙氨酸转氨酶(ALT),白蛋白(ALB),碱性磷酸酶(ALP),淀粉酶(AMY),天冬氨酸转氨酶(AST),总胆固醇(CHOLT),肌酐(CREA,酶法),果糖胺( FRUC),γ-谷氨酰转移酶(GGT),HDL胆固醇(HDLc),总铁(Iron),脂肪酶(LIP),无机磷(Phos),总蛋白(PROT),甘油三酸酯(TG)和尿酸(UA) )。浓度从基线的传统10%变化和总变化水平(TCL)均被视为接受极限。在Cobas?上测试了19个涵盖广泛值的血清池。 6000(罗氏诊断)。 I ict 的范围是0到60。结果当我 ict 时,八种分析物显着增加(FRUC和Phos)或减少(CHOLT,CREA,HDLc,PROT,TG和UA)。增加。当I ict 增加时,FRUC,HDLc,PROT和UA呈线性关系。 TG,CREA和CHOLT之间存在非线性关系。这也取决于分析物的水平。其他人即使在I ict 高的情况下也没有受到影响。结论提出了一种估计FRUC,HDLc,PROT,Phos,UA,TG和CREA以及胆汁淤积情况下CHOLT的无干扰值的方法。根据分析性能目标确定I ict 级别,并提出了重新计算无干扰值的方程式。

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