Verification of GGT Detection Results with Two Measurement Systems by IFCC Reference Method
Qi Chen
Abstract
Qi Chen
Abstract
20 fresh,single human serum samples with different concentrations,ERM-AD452 and RELA samples were simultaneously measured by using A,B two factories measurement systems and IFCC reference method.The results measured with two methods were evaluated by software MVS and Matlab.The results showed that the GGT concentration in serum samples measured with A and B methods were obviously different.The measured results with method A was consistent with IFCC reference method,and the regression equation between method A and IFCC reference method was Y=0.995X- 0.417,and the prediction bias value was 0.359.The measured results with method B were inconsistent with IFCC reference method,the regression equation between method B and IFCC reference method was Y=0.827X- 0.566,and the prediction bias value was 17.258.In view of obvious difference of results with different measurement systems,the laboratories should establish a method to evaluate routine measurement results with different methods.
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20 fresh,single human serum samples with different concentrations,ERM-AD452 and RELA samples were simultaneously measured by using A,B two factories measurement systems and IFCC reference method.The results measured with two methods were evaluated by software MVS and Matlab.The results showed that the GGT concentration in serum samples measured with A and B methods were obviously different.The measured results with method A was consistent with IFCC reference method,and the regression equation between method A and IFCC reference method was Y=0.995X- 0.417,and the prediction bias value was 0.359.The measured results with method B were inconsistent with IFCC reference method,the regression equation between method B and IFCC reference method was Y=0.827X- 0.566,and the prediction bias value was 17.258.In view of obvious difference of results with different measurement systems,the laboratories should establish a method to evaluate routine measurement results with different methods.
Key concepts: Medicine, Reference values, Linear regression, Statistics, Mathematics, Internal medicine