title: Power function of the reference change value in relation to cut-off points, reference intervals and index of individuality.
abstract: The reference change value, defined as RCV = 1.96 x 2(1/2) x(s(I)(2) +s A(2))(1/2), where s(I) is within-subject biological variation and s A is analytical variation, has been used for many years to take clinical decisions in patient monitoring. Furthermore, the index of individuality was defined as II = (s(I)(2) +s(A)(2))(1/2)/s(G) , where s(G) is the between-subject biological variation. This index has been simplified by later authors to s(I)/s(G) and has been used in monitoring situations to determine the utility of population-based reference intervals. Harris stated that when the index of individuality is lower than 0.6, the specific reference interval of the individual - when available - is better than the population-based reference interval. However, if a change within a patient is equivalent to the RCV applied for the significant difference between two measurements, the probability of detecting this change is only 50% (the same probability of missing it). Therefore, to obtain a higher probability of detecting a change by the RCV (e.g., 90%) the interpretation of the index of individuality has to be reconsidered. This contribution compares the power of the RCV to the use of cut-off points and population-based reference intervals. The benefits of the RCV compared to the distance to cut-off point or reference limit are also described in relation to the index of individuality.
authors.affiliation: Laboratoris Clínics, Hospital General Universitari Vall d'Hebron, Facultat de Medicina, Universitat Autònoma de Barcelona, Spain. niglesiascanadell@yahoo.es
authors.forename: Natàlia
authors.initials: N
authors.lastname: Iglesias
authors.forename: Per Hyltoft
authors.initials: PH
authors.lastname: Petersen
authors.forename: Carmen
authors.initials: C
authors.lastname: Ricós
mesh_terms: D000704:Analysis of Variance; D002272:Carcinoembryonic Antigen / Q000097:blood; D003627:Data Interpretation, Statistical; D014644:Genetic Variation / Q000502:physiology*; D006801:Humans; D011336:Probability; D012016:Reference Values; D012984:Software; D013974:Thyroxine / Q000097:blood
chemical_list: D002272:Carcinoembryonic Antigen; D013974:Thyroxine