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Predictive Value of Plasma HIV RNA Levels for Rate of CD4 Decline and Clinical Disease Progression
Bryan Lau*, S Gange, G Kirk, S Mehta, B Merriman, and R Moore
Johns Hopkins Univ, Baltimore, MD, US
Background: A recent study showed poor correlation of
HIV RNA levels with subsequent CD4 decline. However, CD4 slopes were determined
over a long period (upper quartile 4.6 years) and did not adjust for initial
CD4 counts. Using data from the AIDS Link to Intravenous Experience (ALIVE) cohort and the Johns Hopkins HIV Clinical Cohort
(JHHCC), this relationship and the predictive value of HIV RNA for clinical
disease progression were investigated.
Methods: A random-effects model was used to
calculate CD4 slopes in semi-annual measurements from 197 seroconverters from ALIVE with data between 1988 and 1997. We
determined the predictive value (R2) of the first HIV RNA value taken >1.5 years
after the first HIV+ visit for subsequent CD4 slopes prior to
clinical AIDS. Similarly short-term CD4 slopes within a specified time period
(0.25, 0.5, 0.75, 1.0, 1.5, and 2 years) after initial HIV RNA measurement
between 1996 and 2005 were determined for 392 patients free of clinical AIDS
and not receiving any ART in the JHHCC. The R2
for the first HIV RNA and CD4 count were determined for predicting subsequent
CD4 slopes. Similar R2
metrics were used to examine the predictive value of HIV RNA with time to
clinical AIDS or death within the ALIVE data.
Results: The R2
of a single HIV RNA measurement for CD4 slope over a median of 3.18
years in ALIVE was minimal (R2 <0.01)
and for short-term CD4 slopes in the JHHCC data was <0.05. Initial CD4
explained a large proportion of CD4 slopes (p
<0.001) especially over a short period of time (R2 >0.76 for ≤0.75 years) even after adjusting
for HIV RNA levels. The predictive value of a single HIV RNA
measurement with time to clinical AIDS or death (n = 45; 23%) in ALIVE was substantially higher (R2 = 0.32, p <0.002). Using time-updated HIV
RNA values, the R2 of HIV
RNA was even stronger (0.61, p
<0.002). After adjusting for time-varying CD4, the R2 of HIV RNA were attenuated but remained high (0.19
and 0.42, respectively) and statistically significant from 0.01 (p ≤0.006).
Conclusions: Our
results confirm that HIV RNA has poor predictive value for CD4 slope alone and
that any explanation for rate of CD4 slope should account for initial CD4. However,
our analysis showing high predictive value for clinical disease events even
after adjusting for CD4 levels reinforces the importance of HIV RNA as an
independent marker of HIV disease progression.
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