title: [Selecting methods of controls concentration for internal quality control and continuity of control chart between different reagent lots for HBsAg qualitative detection].
abstract: OBJECTIVE
  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.
  
  
  METHODS
  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.
  
  
  RESULTS
  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.
  
  
  CONCLUSIONS
  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.
authors.affiliation: National Center for Clinical Laboratory, Beijing 100730, China.
authors.forename: Jin-ming
authors.initials: JM
authors.lastname: Li
authors.forename: Huai-jing
authors.initials: HJ
authors.lastname: Zheng
authors.forename: Lu-nan
authors.initials: LN
authors.lastname: Wang
authors.forename: Wei
authors.initials: W
authors.lastname: Deng
mesh_terms: D004797:Enzyme-Linked Immunosorbent Assay / Q000379:methods* / Q000592:standards; D005069:Evaluation Studies as Topic; D006514:Hepatitis B Surface Antigens / Q000097:blood*; D006801:Humans; D011786:Quality Control; D011933:Reagent Kits, Diagnostic / Q000592:standards*; D015203:Reproducibility of Results
chemical_list: D006514:Hepatitis B Surface Antigens; D011933:Reagent Kits, Diagnostic