학술논문

Comparison of Tests and Procedures to Build Clinically Relevant Genotypic Scores: Application to the Jaguar Study
Document Type
Article
Source
Antiviral Therapy; May 2005, Vol. 10 Issue: 4 p479-487, 9p
Subject
Language
ISSN
13596535
Abstract
Objective To compare non-parametric tests and procedures of selection in building clinically validated genotypic scores.Design and patients In the Jaguar study, 111 patients on a stable antiretroviral regimen experiencing virological failure were randomized in the didanosine (ddI) arm to receive ddI for 4 weeks in addition to their current combination therapy.Methods The virological response was HIV-1 RNA reduction from baseline to week 4. The univariate impact of each mutation associated with resistance to ddI on virological response was quantified by comparing reduction in plasma HIV-1 RNA in patients with or without the specific mutation, using a Wilcoxon–Mann–Whitney test. The next step was to select the combination of mutations most strongly associated with the virological response. Two procedures and two tests were compared using either the set of resistance mutations or the set of resistance mutations and mutations providing a better virological response. The Kruskal–Wallis and the Jonckheere test for ordered alternatives were compared in order to build a genotypic score using the two distinct procedures.Results Eight mutations were associated with a reduced virological response to ddI: M41L, D67N, T69D, L74V, V118I, L210W, T215Y/F and K219Q/E and two mutations with a better virological response: K70R and M184V/I. The Jonckheere–Terpstra test for trend provided the combination of mutations (M41L+T69D-K70R+L74V-M184V /I+T215Y/F+ K219A/E) that were the most predictive for the week 4 virological response, that is, leading to the lowest Pvalue. The ‘removing’ procedure, starting from a set of mutations retained and removing mutations one by one to find the best combination, provides lower Pvalues than the ‘adding’ procedure starting with a single mutation and adding mutations one by one. Whatever the set of mutations and the procedure used, the Jonckheere–Terpstra test selects combinations of mutations leading to lower Pvalues than the Kruskal–Wallis test.Conclusion The Jonckheere–Terpstra test for trend is recommended for building a genotypic score when compared with the Kruskal–Wallis. The choice of the selection procedure is discussed here and may be dependent on the objective of the score.