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KMID : 1101320060380020117
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Korean Journal of Clinical Laboratory Science
2006 Volume.38 No. 2 p.117 ~ p.124
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An Empirical Study of the Analytical Measurement Range in Clinical Chemistry
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Chang Sang-Wu
Lee Sang-Gon
Kim Young-Hwan
Song Eun-Young
Park Yong-Won
Park Byong-Ok
Lyu Jae-Gi
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Abstract
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The analytical measurement range (AMR) is the range of analyte values that a method can directly measure on a specimen without any dilution, concentration, or other pretreatment not part of the usual assay process. The linearity of the AMR is its ability to obtain test results which are directly proportional to the concentration of analyte in the sample from the upper and lower limit of the AMR. The AMR validation is the process of confirming that the assay system will correctly recover the concentration or activity of the analyte over the AMR. The test specimen must have analyte values which, at a minimum, are near the low, midpoint, and high values of the AMR. The AMR must be revalidated at least every six months, at changes in major system components, and when a complete change in reagents for a procesure is introduced; unless the laboratory can demonstrate that changing the reagent lot number does not affect the range used to report patient test results. The AMR linearity was total protein (0-16.6), albumin (0-8.1), total bilirubin (0-18.1), alkaline phosphatase (0-1244.3), aspartate aminotransferase (0-1527.9), alanine aminotransferase (0-1107.9), gamma glutamyl transpeptidase (0-1527.7), creatine kinase (0-1666.6), lactate dehydrogenase (0-1342), high density lipoprotein cholesterol (0.3-154.3), sodium (35.4-309), creatinine (0-19.2), blood urea nitrogen (0.5-206.2), uric acid (0-23.9), total cholesterol (-0.3-510), triglycerides (0.7-539.6), glucose (0-672.7), amylase (0-1595.3), calcium (0-23.9), inorganic phosphorus (0.03-17.0), potassium (0.1-116.5), chloride (3.3-278.7). We are sure that materials for the AMR affect the evaluation of the upper limit of the AMR in the process system.
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KEYWORD
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Analytical measurement range, Linearity, Validation, Process
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