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Defining the Immunologic Consequences of Early vs Delayed Treatment Modifications Using Marginal Structural Models
Maya Petersen*1, M van Der Laan1, J Martin2, and S Deeks2
1Univ of California, Berkeley, US and 2Univ of California, San Francisco, US
Background: Observational studies have demonstrated that
CD4 T cell counts often remain stable in presence of drug-resistant viremia. These observations are confounded by the
possibility that the outcome of interest (CD4 T cell counts) may influence
decisions as to when to modify therapy, leading to a potential bias. Marginal structural
models control for such time-dependent confounders.
Methods: We identified all subjects in a prospective
clinic-based cohort who failed to achieve or maintain undetectable HIV RNA
levels on a new regimen. The influence of early versus delayed treatment modifications
on subsequent CD4 T cell counts was studied using history-adjusted marginal
structure models. These models consider time-updated covariates to address potential
confounding by prior and current HIV RNA levels, CD4 T cell counts, treatment
history, opportunistic diseases, adherence, and drug use.
Results: A total of 100 patients was evaluated, most of
whom were heavily pre-treated. The median CD4 T cell count and viral load at
time zero (when failure occurred) was 268 cells and 3947 copies/mL, respectively. The median time to switch after onset of
failure was 6 months. Cross-validated data-adaptive
regression demonstrated that
treatment was more likely to be modified in patients who had lower CD4 T cell
counts and lower levels of adherence, and in patients with an opportunistic
infection. After adjusting for confounders, the effect of waiting each
additional month on expected CD4 T cell count 8 months in the future was 0.05(CI
0.02 to 0.09) of baseline CD4 –13 (CI –22 to –4). Thus, waiting to switch
resulted in an overall loss of CD4 T cells for individuals with <260 CD4 T
cells at the time of failure, and an overall gain in those with higher CD4 T
cell counts. Among individuals who had already spent 5 or more months on a
partially suppressive therapy, the effect of additional time until switching
therapy had a negligible effect on future CD4 T cell count, irrespective of
current CD4 T cell count.
Conclusions: Delaying a switch in therapy for patients with
low CD4 T cell counts at the time of virologic failure was associated with a
long-term loss of CD4 T cells, while waiting to switch therapy for patients
with higher CD4 T cells counts was not associated with immunologic harm. The effect
of delaying a switch in therapy for all groups waned over time; after 5 months,
delaying treatment modification further was neither advantageous nor
detrimental.
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