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Selecting methods of controls concentration for internal quality control and continuity of control chart between different reagent lots for HBsAg qualitative detection / 中华肝脏病杂志
Chinese Journal of Hepatology ; (12): 228-231, 2003.
Article in Chinese | WPRIM | ID: wpr-344445
ABSTRACT
<p><b>OBJECTIVE</b>To establish a model for one choosing controls with a suitable concentration for internal quality control (IQC) with qualitative ELISA detection, and a consecutive plotting method on Levey-Jennings control chart when reagent kit lot is changed.</p><p><b>METHODS</b>First, a series of control serum with 0.2, 0.5, 1.0, 2.0 and 5.0ng/ml HBsAg respectively were assessed for within-run and between-run precision according to NCCLs EP5 document. Then, a linear regression equation (y=bx + a) with best correlation coefficient (r > 0.99) was established based on S/CO values of the series of control serum. Finally, one could choose controls with S/CO value calculated from the equation (y = bx + a) minus the product of the S/CO value multiplying three-fold between-run CV to be still more than 1.0 for IQC use. For consecutive plotting on Levey-Jennings control chart when ELISA kit lot was changed, the new lot kits were used to detect the same series of HBsAg control serum as above. Then, a new linear regression equation (y2 = b2x2 + a2) with best correlation coefficient was obtained. The old one (y1 =b1x1 + a1) could be obtained based on the mean values from above precision assessment. The S/CO value of a control serum detected by new lot kit could be changed to that detected by old kit lot based on the factor of y2/y1. Therefore, the plotting on primary Levey-Jennings control chart could be continued.</p><p><b>RESULTS</b>The within-run coefficient of variation CV of the ELISA method for control serum with 0.2, 0.5, 1.0, 2.0 and 5.0ng/ml HBsAg were 11.08%, 9.49%, 9.83%, 9.18% and 7.25%, respectively, and between-run CV were 13.25%, 14.03%, 15.11%, 13.29% and 9.92%. The linear regression equation with best correlation coefficient from a test at random was y = 3.509x + 0.180. The suitable concentration of control serum for IQC could be 0.5ng/ml or 1.0ng/ml. The linear regression equation from the old lot and other two new lots of the ELISA kits were y1 = 3.550(x1) + 0.226, y2 = 3.238(x2) +0.388, and y3 =3.428(x3) + 0.148, respectively. Then, the transferring factors of 0.960 (y2/y1) and 0.908 (y3/y1) were obtained.</p><p><b>CONCLUSION</b>The results shows that the model established for IQC control serum concentration selecting and for consecutive plotting on control chart when the reagent lot is changed is effective and practical.</p>
Subject(s)
Full text: Available Index: WPRIM (Western Pacific) Main subject: Quality Control / Reagent Kits, Diagnostic / Reference Standards / Blood / Enzyme-Linked Immunosorbent Assay / Reproducibility of Results / Evaluation Studies as Topic / Hepatitis B Surface Antigens / Methods Type of study: Diagnostic study / Evaluation studies / Prognostic study / Qualitative research Limits: Humans Language: Chinese Journal: Chinese Journal of Hepatology Year: 2003 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Main subject: Quality Control / Reagent Kits, Diagnostic / Reference Standards / Blood / Enzyme-Linked Immunosorbent Assay / Reproducibility of Results / Evaluation Studies as Topic / Hepatitis B Surface Antigens / Methods Type of study: Diagnostic study / Evaluation studies / Prognostic study / Qualitative research Limits: Humans Language: Chinese Journal: Chinese Journal of Hepatology Year: 2003 Type: Article