Predicting the potential benefits of early initiation of ART: time to do a trial to find out

Current advances in pharmacovigilance in the USA and Europe: meeting the challenges of safety monitoring in HIV

PURPOSE OF REVIEW

The success of antiretroviral therapy in HIV disease comes currently with the realization that patients are committed to life-long treatment, which raises the possibility of long-term toxicity. Such long-term side effects may not be identified in initial clinical trials requiring, therefore, a different approach to monitoring patients over time - a pharmacovigilance approach.

RECENT FINDINGS

Several key issues in long-term management of HIV infection have been addressed by a pharmacovigilance approach - including unusual and rare side effects and elucidation of emerging toxicities such as cardiovascular, bone and renal disease. Recent changes in legislation in the USA and Europe are aimed to strengthen pharmacovigilance in developed countries.

SUMMARY

HIV infection and its treatment provide an important example of the role of pharmacovigilance. As clinical trials can rarely address the question of long-term tolerability, effective pharmacovigilance programs are and will remain essential.

Impact of time to start treatment following infection with application to initiating HAART in HIV-positive patients

We estimate how the effect of antiretroviral treatment depends on the time from HIV-infection to initiation of treatment, using observational data. A major challenge in making inferences from such observational data arises from biases associated with the nonrandom assignment of treatment, for example bias induced by dependence of time of initiation on disease status. To address this concern, we develop a new class of Structural Nested Mean Models (SNMMs) to estimate the impact of time of initiation of treatment after infection on an outcome measured a fixed duration after initiation, compared to the effect of not initiating treatment. This leads to a SNMM that models the effect of multiple dosages of treatment on a time-dependent outcome, in contrast to most existing SNNMs, which focus on the effect of one dosage of treatment on an outcome measured at the end of the study. Our identifying assumption is that there are no unmeasured confounders. We illustrate our methods using the observational Acute Infection and Early Disease Research Program (AIEDRP) Core01 database on HIV. The current standard of care in HIV-infected patients is Highly Active Anti-Retroviral Treatment (HAART); however, the optimal time to start HAART has not yet been identified. The new class of SNNMs allows estimation of the dependence of the effect of 1 year of HAART on the time between estimated date of infection and treatment initiation, and on patient characteristics. Results of fitting this model imply that early use of HAART substantially improves immune reconstitution in the early and acute phase of HIV-infection.

When should antiretroviral therapy be started in HIV-positive persons?

Recommendations for the initiation of combination antiretroviral therapy in HIV-positive individuals are largely based on data from observational studies. Whilst all guidelines recommend immediate treatment in individuals with a CD4 count of less than 350 cells/mm(3), guidelines vary in their recommendations for treatment at higher CD4 counts. Several large cohort studies have published findings that contribute to the debate, although conclusions vary and results from these studies may be subject to bias.

Long-term increase in CD4+ T-cell counts during combination antiretroviral therapy for HIV-1 infection

OBJECTIVE

To inform guidelines concerning when to initiate combination antiretroviral therapy (ART), we investigated whether CD4(+) T-cell counts (CD4 cell counts) continue to increase over long periods of time on ART. Losses-to-follow-up and some patients discontinuing ART at higher CD4 cell counts hamper such evaluation, but novel statistical methods can help address these issues. We estimated the long-term CD4 cell count trajectory accounting for losses-to-follow-up and treatment discontinuations.

DESIGN

The study population included 898 US patients first initiating ART in a randomized trial (AIDS Clinical Trials Group 384); 575 were subsequently prospectively followed in an observational study (AIDS Clinical Trials Group Longitudinal Linked Randomized Trials).

METHODS

Inverse probability of censoring weighting statistical methods were used to estimate the CD4 cell count trajectory accounting for losses-to-follow-up and ART discontinuations, overall and for pretreatment CD4 cell count categories (<or=200, 201-350, 351-500, and >500 cells/microl).

RESULTS

Median CD4 cell count increased from 270 cells/microl pre-ART to an estimated 556 cells/microl at 3 and 532 cells/microl at 7 years after starting ART in analyses ignoring treatment discontinuations, and to 570 and 640 cells/microl, respectively, had all patients continued ART. However, even had ART been continued, an estimated 25, 9, 3, and 2% of patients with pretreatment CD4 cell counts of 200 or less, 201-350, 351-500, and more than 500 cells/microl would have had CD4 cell counts of 350 cells/microl or less after 7 years.

CONCLUSION

If patients remain on ART, CD4 cell counts increase in most patients for at least 7 years. However, the substantial percentage of patients starting therapy at low CD4 cell counts who still had low CD4 cell counts after 7 years provides support for ART initiation at higher CD4 cell counts.