Proposal for objective evaluation of the performance of various functional APC-resistance tests in genotyped patients.
The aim of the present study was to evaluate the relative performance of five screening methods for APC resistance caused by the factor V:Q506 mutation: the original method Coatest APC Resistance Chromogenix, a modified method using the same reagents but a predilution 1+4 of the plasma in a factor V deficient plasma from Stago (Stago deficient V) or from Chromogenix (V-DEF Plasma), the Coatest APC Resistance V (Chromogenix), and Accélérimat from bioMérieux. Normalization was done against a pool of normal plasmas for the methods from Chromogenix. The study included 350 subjects, 219 were genotyped (174 FV:R506R, 42 FV:Q506R, 3 FV:Q506Q) and most of them were assessed by more than one method. Uncertainty in predicting the FV genotype was evaluated by statistical analysis, which provided a way to quantitate the performance of the different diagnostic approaches. Performance of each test was evaluated by its sensitivity, specificity, R.O.C. curves, positive and negative likelihood ratios (LR), and the overall performance was determined by two parameters derived from the LR curves : the maximum LR value obtained at the crossover of the two curves, and the distance between the two curves for LR = 10. Coatest APC Resistance V and Accélérimat were proven to be the methods most able to discriminate for factor V:Q506, while normalization was not shown to improve the screening performance. The original method from Chromogenix was confirmed to undergo many influences (factor XII, PAI-1, thrombin-antithrombin complexes, antithrombin III, hematocrit). Although a very good improvement was provided by the newest methods, they were shown to be influenced by protein S and/or factor V levels in the sample plasma.
Freyburger
G
G
Hôpital Pellegrin, Université de Bordeaux II, France. freyburg@quaternet.fr
Javorschi
S
S
Labrouche
S
S
Bernard
P
P
D001780:Blood Coagulation Tests / Q000379:methods* / Q000706:statistics & numerical data; D016002:Discriminant Analysis; D004351:Drug Resistance; D005165:Factor V / Q000235:genetics* / Q000378:metabolism; D005169:Factor VIII / Q000378:metabolism; D005174:Factor XII / Q000378:metabolism; D005838:Genotype; D006801:Humans; D011486:Protein C / Q000378:metabolism*; D017293:Protein S / Q000378:metabolism; D015203:Reproducibility of Results; D013927:Thrombosis / Q000097:blood / Q000175:diagnosis / Q000235:genetics
D011486:Protein C; D017293:Protein S; C095381:factor V Leiden; D005165:Factor V; D005169:Factor VIII; D005174:Factor XII