664
Cavidi Exavir Viral Load and Phenotype Assays
Susan Fiscus*1, A Cachafeiro1, P Stewart1, S Napravnik1, I Frank2, J Eron Jr1, and the Adult AIDS Clin Trials Group NWCS 227 Team
1Univ of North Carolina at Chapel Hill, US and 2Univ of Pennsylvania, Philadelphia, US
Background: Amplification
based HIV-1 viral load and resistance assays are expensive, technologically
complex and may be difficult to implement in resource limited settings. Cavidi
Exavir viral load and phenotype assays based on quantification of reverse transcriptase
(RT) activity may be alternatives.
Methods:
Evaluation of agreement between Cavidi RT (Y1) and Roche HIV-1 RNA
PCR (Y2) assays (log10 RNA c/mL) was based on a sample of
155 subjects enrolled in ACTG #201 (n=22), #307 (n=85) or the UNC CFAR HIV
Cohort (UCHC)(n=48). The analysis relied on bivariate linear models fitted via
a supplemental-expectation-maximization (S/EM) algorithm to cope with
left/right censoring. Effects of mutations in RT on Roche and Cavidi assays
(UCHC n=48) were explored in two ways: using mutation indicators as covariates
in bivariate linear models; using logistic regression to assess association
between mutations and the probability of |Y1-Y2|<¼
log. Cavidi phenotype assay was contrasted to efavirenz (EFV) associated mutations
(UCHC n=26).
Results: For 80%
of 155 cases the two assays differed by <1 log and for 47% by <¼ log. The
standard deviations for Cavidi and Roche were 1.34 and 1.13 logs, and the means
were 3.97 and 4.15, respectively, with a difference of 0.18 logs (SE)=0.04. For
any given Roche assay value, the predicted mean deviation was E[Y1-Y2]=0.08(Y2‑6.37).
Correlation between Y1 and Y2 was r=0.91 (SE= 0.15). Of
15 samples that were <400, and 22 <1000 c/mL, with Roche, 93% and 100%
were <400, and <1000, by Cavidi, respectively. Of 23 samples <400, and
40 <1000 c/mL, with Cavidi, 61% and 55% were <400, and <1000, by
Roche, respectively. RT mutations did not influence the relationship between Y1
and Y2. EFV phenotypes by Cavidi were consistent with RT genotypes; no EFV
mutations in patients without EFV resistance (n=9) and a mutation in each
patient with resistance (n=17)(K103N n=10, G190A/S n=3, Y188L n=2, Y181C n=2).
Of 7 patients without EFV use, 2 were resistant to EFV (both with K103N). Of 19
patients with prior EFV use, 15 were EFV resistant (all with EFV mutations) and
4 were EFV sensitive (all without EFV mutations).
Conclusions: Cavidi
RT results were similar to Roche Amplicor for plasma HIV-1 RNA quantification.
EFV phenotyping results were encouraging and may be very useful in developing
world settings where initial NNRTI-based regimens are standard of care. Cavidi
is also less expensive and technologically simpler than the Roche assay.
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