BACKGROUND: Accurate and precise measurement of blood cholesterol plays a central role in the National Cholesterol Education Program's strategy to reduce the morbidity and mortality attributable to coronary heart disease. Matrix effects hamper the ability of manufacturers to adequately calibrate and validate traceability to the National Reference System for Cholesterol (NRS/CHOL). CDC created the Cholesterol Reference Method Laboratory Network (CRMLN) to improve cholesterol measurement by assisting manufacturers of in vitro diagnostic products with validation of the traceability of their assays to the NRS/CHOL. METHODS: CRMLN laboratories established the CDC cholesterol reference method (modification of the Abell-Levy-Brodie-Kendall chemical method) and are standardized using CDC frozen serum reference materials. CRMLN laboratories use common quality-control materials and participate in monthly external performance evaluations conducted by CDC. The CRMLN performance criteria require member laboratories to agree with CDC within +/-1.0% and maintain a CV < or =2.0%. RESULTS: From 1995 to 200 the CRMLN laboratories met the accuracy criterion 97% of the time and the precision criterion 99% of the time. During this time period, the CRMLN maintained an average bias to CDC of 0.01% and an average collective CV of 0.33%. CONCLUSIONS: CDC established the CRMLN as the first international reference method laboratory network. The CRMLN assists manufacturers in the validation of the calibration of their diagnostic products so that clinical laboratories can measure blood cholesterol more reliably. The CRMLN can serve as a model for other clinical analytes where traceability to a hierarchy of methods is needed and matrix effects of the field methods with processed calibrators or reference materials are present.
BACKGROUND: Accurate and precise measurement of blood cholesterol plays a central role in the National Cholesterol Education Program's strategy to reduce the morbidity and mortality attributable to coronary heart disease. Matrix effects hamper the ability of manufacturers to adequately calibrate and validate traceability to the National Reference System for Cholesterol (NRS/CHOL). CDC created the Cholesterol Reference Method Laboratory Network (CRMLN) to improve cholesterol measurement by assisting manufacturers of in vitro diagnostic products with validation of the traceability of their assays to the NRS/CHOL. METHODS: CRMLN laboratories established the CDC cholesterol reference method (modification of the Abell-Levy-Brodie-Kendall chemical method) and are standardized using CDC frozen serum reference materials. CRMLN laboratories use common quality-control materials and participate in monthly external performance evaluations conducted by CDC. The CRMLN performance criteria require member laboratories to agree with CDC within +/-1.0% and maintain a CV < or =2.0%. RESULTS: From 1995 to 200 the CRMLN laboratories met the accuracy criterion 97% of the time and the precision criterion 99% of the time. During this time period, the CRMLN maintained an average bias to CDC of 0.01% and an average collective CV of 0.33%. CONCLUSIONS: CDC established the CRMLN as the first international reference method laboratory network. The CRMLN assists manufacturers in the validation of the calibration of their diagnostic products so that clinical laboratories can measure blood cholesterol more reliably. The CRMLN can serve as a model for other clinical analytes where traceability to a hierarchy of methods is needed and matrix effects of the field methods with processed calibrators or reference materials are present.
Authors: Elizabeth A Yetley; Christine M Pfeiffer; Rosemary L Schleicher; Karen W Phinney; David A Lacher; Sylvia Christakos; John H Eckfeldt; James C Fleet; George Howard; Andrew N Hoofnagle; Siu L Hui; Gary L Lensmeyer; Joseph Massaro; Munro Peacock; Bernard Rosner; Donald Wiebe; Regan L Bailey; Paul M Coates; Anne C Looker; Christopher Sempos; Clifford L Johnson; Mary Frances Picciano Journal: J Nutr Date: 2010-09-29 Impact factor: 4.798
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Authors: Y Nakamura; H Ueshima; N Okuda; K Miura; Y Kita; T Okamura; T C Turin; A Okayama; B Rodriguez; J D Curb; J Stamler Journal: Nutr Metab Cardiovasc Dis Date: 2010-08-03 Impact factor: 4.222
Authors: Brian A Kidd; Gabriel Hoffman; Noah Zimmerman; Li Li; Joseph W Morgan; Patricia K Glowe; Gregory J Botwin; Samir Parekh; Nikolina Babic; Matthew W Doust; Gregory B Stock; Eric E Schadt; Joel T Dudley Journal: J Clin Invest Date: 2016-03-28 Impact factor: 14.808
Authors: Alexey Goncharov; Robert Rej; Serban Negoita; Maria Schymura; Azara Santiago-Rivera; Gayle Morse; David O Carpenter Journal: Environ Health Perspect Date: 2009-05-20 Impact factor: 9.031
Authors: Brian G Kral; Lewis C Becker; Dhananjay Vaidya; Lisa R Yanek; Rehan Qayyum; Stefan L Zimmerman; Damini Dey; Daniel S Berman; Taryn F Moy; Elliot K Fishman; Diane M Becker Journal: Circ Cardiovasc Imaging Date: 2014-02-27 Impact factor: 7.792