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Comparison of Plasma HIV-1 RNA, CD4 Cell Count, and CD38 Expression on CD8 T Cells as Predictors of Progression to AIDS and CD4 Cell Decline among Untreated Participants in the Multicenter AIDS Cohort Study
John Mellors*1, J Margolick2, J Phair3, C Rinaldo1, R Detels4, L Jacobson2, and A Muńoz2
1Univ of Pittsburgh, PA, US; 2Johns Hopkins Univ, Baltimore, MD, US; 3Northwestern Univ, Chicago, IL, US; and 4Univ of California, Los Angeles, US
Background: Recently it was reported
that plasma HIV-1 RNA explained <10% of the variability in short-term CD4 cell
decline. This result led the researchers to question the importance of viremia in AIDS pathogenesis and to conclude that HIV-1 RNA
has “limited clinical value.” To address the validity of these assertions, we
analyzed the predictive value of HIV-1 RNA, CD4 cell counts, and CD38 relative fluorescence
intensity (RFI) on CD8 T cells for time to AIDS progression and CD4 cell
decline.
Methods: HIV-1 RNA (real
time polymerase chain reaction [RT-PCR], or bDNA
equivalent) and CD4 cell counts were measured among 1679 HIV-1+ men
enrolled in the Multicenter AIDS Cohort Study (MACS).
CD38 RFI on CD8 T cells was measured in 214 of these participants. AIDS (1993
definition) developed by 1991 in 651 of the 1679 participants and in 77 of the 214
with CD38 RFI data. CD4 cell slope (>2 measurements) was estimated using
data from 1985 to mid-1988. Variation around CD4 regression lines was assessed
by the root mean square error (RMSE). Coefficients of determination (R2) for censored survival
data were derived from log normal regressions and were used to quantify the percentage
variability in time to AIDS explained by markers.
Results: Overall, a single HIV-1 RNA measurement was
the best predictor, explaining 45% of the variability in time to AIDS, compared
with only 20% for CD4 cell count. The 2 markers combined explained 51%. Among
the 214 participants, the percentage of variability in time to AIDS explained
by HIV-1 RNA, CD4 cell count, and CD38 RFI were 52%, 11%, and 46%,
respectively. CD38 RFI was strongly correlated with HIV-1 RNA (r = 0.63; p <0.001). HIV-1 RNA and CD38 RFI jointly explained 57%, and adding
CD4 cell counts had no effect. By contrast, HIV-1 RNA, CD4 cell counts, and
CD38 RFI explained very little of variability in CD4 cell decline: 4.5%, 9.8%,
and 1.4%, respectively. The variance around individual CD4 regression lines was
very high; the mean RSME (121 cells/µL) substantially exceeded the average CD4 cell
slope (–71.5 cells/µL/year).
Conclusions: A single HIV-1 RNA
measurement was the best predictor of time to AIDS, explaining almost half of
the variability in this clinically relevant outcome. High variance around CD4
regression lines likely accounts for the inability of any marker to explain CD4
cell decline. The predictive value of HIV-1 RNA for time to AIDS reaffirms the
central role of viremia in AIDS pathogenesis and
strongly supports the use of HIV-1 RNA for patient management.
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