Dietmar Stöckl1, Patrick M Sluss, Linda M Thienpont. 1. Laboratory for Analytical Chemistry, Faculty of Pharmaceutical Sciences, Ghent University, Harelbekestraat 72, B-9000 Ghent, Belgium.
Abstract
BACKGROUND: The divergence in analytical quality of serum/plasma 25-hydroxy-vitamin D analysis calls for defining specifications for a reference measurement system. METHODS: Fundamentally, in a reference measurement system, there should be a relationship between the analytical specifications for higher- (reference) and lower-order (routine) measurements. Therefore, when setting specifications, we started with limits for routine imprecision (CV(rou)) and bias (B(rou)) using 4 models: (1) the misclassifications in diagnosis, (2) biological variation data (reference interval (RI) and monitoring), (3) expert recommendations, and (4) state-of-the-art performance. Then, we used the derived goals to tailor those for reference measurements and certified reference materials (CRMs) for calibration by setting the limits for CV(ref) at 0.5 CV(rou), B(ref) at 0.33 B(rou)(,) max. uncertainty (U(max)) at 0.33 B(ref). RESULTS: The established specifications ranged between CV(rou)<or=22%, B(rou)<or=10%, CV(ref)<or=11%, B(ref)<or=3.3%, U(max) 1.1% (model 3) and CV(rou)<or=4%, B(rou)<or=2.6%, CV(ref)<or=2%, B(ref)<or=0.9%, U(max) 0.3% (model 2, monitoring). CONCLUSIONS: Model 2 (monitoring) gave the most stringent goals, model 3, the most liberal ones. Accounting for state-of-the-art performance and certification capabilities, we used model 2 (RI) to recommend achievable goals: for routine testing, CV(rou)<or=10%, B(rou)<or=5%, for reference measurements, CV(ref)<or=5%, B(ref)<or=1.7%, and for CRMs, U(max) 0.6%.
BACKGROUND: The divergence in analytical quality of serum/plasma 25-hydroxy-vitamin D analysis calls for defining specifications for a reference measurement system. METHODS: Fundamentally, in a reference measurement system, there should be a relationship between the analytical specifications for higher- (reference) and lower-order (routine) measurements. Therefore, when setting specifications, we started with limits for routine imprecision (CV(rou)) and bias (B(rou)) using 4 models: (1) the misclassifications in diagnosis, (2) biological variation data (reference interval (RI) and monitoring), (3) expert recommendations, and (4) state-of-the-art performance. Then, we used the derived goals to tailor those for reference measurements and certified reference materials (CRMs) for calibration by setting the limits for CV(ref) at 0.5 CV(rou), B(ref) at 0.33 B(rou)(,) max. uncertainty (U(max)) at 0.33 B(ref). RESULTS: The established specifications ranged between CV(rou)<or=22%, B(rou)<or=10%, CV(ref)<or=11%, B(ref)<or=3.3%, U(max) 1.1% (model 3) and CV(rou)<or=4%, B(rou)<or=2.6%, CV(ref)<or=2%, B(ref)<or=0.9%, U(max) 0.3% (model 2, monitoring). CONCLUSIONS: Model 2 (monitoring) gave the most stringent goals, model 3, the most liberal ones. Accounting for state-of-the-art performance and certification capabilities, we used model 2 (RI) to recommend achievable goals: for routine testing, CV(rou)<or=10%, B(rou)<or=5%, for reference measurements, CV(ref)<or=5%, B(ref)<or=1.7%, and for CRMs, U(max) 0.6%.
Authors: Hedwig C M Stepman; Ulla Tiikkainen; Dietmar Stöckl; Hubert W Vesper; Selvin H Edwards; Harri Laitinen; Jonna Pelanti; Linda M Thienpont Journal: Clin Chem Date: 2014-03-31 Impact factor: 8.327
Authors: Christopher T Sempos; Annemieke C Heijboer; Daniel D Bikle; Jens Bollerslev; Roger Bouillon; Patsy M Brannon; Hector F DeLuca; Glenville Jones; Craig F Munns; John P Bilezikian; Andrea Giustina; Neil Binkley Journal: Br J Clin Pharmacol Date: 2018-07-17 Impact factor: 4.335
Authors: Kevin D Cashman; Mairead Kiely; Michael Kinsella; Ramón A Durazo-Arvizu; Lu Tian; Yue Zhang; Alice Lucey; Albert Flynn; Michael J Gibney; Hubert W Vesper; Karen W Phinney; Paul M Coates; Mary F Picciano; Christopher T Sempos Journal: Am J Clin Nutr Date: 2013-04-24 Impact factor: 7.045
Authors: Ronda F Greaves; Gerald A Woollard; Kirsten E Hoad; Trevor A Walmsley; Lambro A Johnson; Scott Briscoe; Sabrina Koetsier; Tamantha Harrower; Janice P Gill Journal: Clin Biochem Rev Date: 2014-05