Analysis of the coefficient of variation of internal quality control of lipid testing
10.3760/cma.j.issn.1009-9158.2012.12.026
- VernacularTitle:脂类检验项目室内质控变异系数分析
- Author:
Haijian ZHAO
;
Chuanbao ZHANG
;
Wei WANG
;
Jiangtao ZHANG
;
Falin HE
;
Rong MA
;
Weiyan ZHOU
;
Zhigua WANG
- Publication Type:Journal Article
- Keywords:
Clinical chemistry tests;
Quality control;
Lipids
- From:
Chinese Journal of Laboratory Medicine
2012;(12):1172-1175
- CountryChina
- Language:Chinese
-
Abstract:
Objective To investigate the current situation of precision of internal quality control (IQC) in total cholesterol,triglyceride,HDL-cholesterol,and LDL-cholesterol and provide improvement measurements.Methods Web-based External Quality Assessment (EQA) system was used to collect IQCdata of lipid tests from 581 EQA participant laboratories nationwide.The data include the coefficient of variation (CVs) of IQC data under control in April 201 1 and long-term cumulative data.Excel 2007 was applied for data processing after excluding the invalid data.Acceptable rates of CVs of two-lot internal quality controls in 4 lipid testing were calculated according to 6 criteria,that were 1/4TEa,1/3TEa,allowable imprecision of National Cholesterol Education Program (NCEP) and the specifications based on biological variation including the optimal,appropriate and minimal allowable imprecision.Results Four hundred and thirty-five,434,405 and 360 laboratories reported the data of level 1 IQC for total cholesterol (TC),triglyceride (TG),HDL-C,LDL-C respectively,while 214,214,192 and 171 reported the data of level 2 IQC respectively.Acceptable rates of TC,TG,HDL-C,LDL-C based on NECP criteria were 69.2％ (304/435),85.3％ (370/434),61.3％ (48/405) and 69.0％ (248/360) for level 1 respectively while 81.3％(174/214),91.6％ (196/214),75.5％ (145/192) and 81.3％ (139/171) for level 2 respectively.In the group which met the NECP criteria,the proportion of using matching detection system was much higher than the group which did not meet the criteria.Conclusions It is an effective way for clinical laboratories to improve test quality by monitoring the current and cumulative CVs of internal quality control and comparing them against proper evaluation criteria to evaluate if the analysis system can meet quality requirements.
