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Insufficient Virus Suppression during HAART Is a Strong Predictor for the Development of AIDS-related Lymphoma: German CLINSURV Cohort
Alexander Zoufaly*1, H J Stellbrink2, M an der Heiden3, C Kollan3, J van Lunzen1, O Hamouda3, and CLINSURV Study group
1Univ Med Ctr Hamburg-Eppendorf, Germany; 2IPM Study Ctr, Hamburg, Germany; and 3Robert Koch Inst, Berlin, Germany
Background: The incidence
of opportunistic infections has decreased significantly with HAART. The
occurrence of AIDS-related lymphoma, however, has not been reduced to the same
extent. This analysis aimed at determining risk factors for the development of AIDS-related
lymphoma during HAART.
Methods: Data of 6458 patients on HAART (minimum 3 drugs) from the
German CLINSURV cohort were analyzed. Since 1999, this cohort has collected
retrospective and prospective data on >17,000 HIV+ patients.
Patients were included from the initiation of HAART until the development of
lymphoma or until censoring at last observation without lymphoma, or December
31, 2006. We found that 94 subjects had incident non-Hodgkin’s lymphoma (newly
diagnosed ≥30 days after inclusion). Cases of lymphoma diagnosed within
30 days on HAART were excluded as “prevalent.” A Cox proportional hazards model
was applied to identify risk factors and a parametric model was used to verify
the results.
Results: We identified 94 lymphomas (78 AIDS-related non-Hodgkin’s
lymphomas, and 16 primary central nervous system [CNS] lymphomas). A total of
28,125 person-years of follow-up was available with an incidence rate during
HAART of 3.3 lymphomas per 1000 person-years. Multivariate Cox regression
identified the following risk factors: men who have sex with men (MSM) risk
(HR 1.86, 95%CI 1.19 to 2.90, p <0.008), age/10 years (HR 1.40,CI 1.17
to 1.68), actual CD4 count <200 (HR3.64, CI 2.08 to 6.40) or 200 to 350 (HR
3.08, CI 1.74 to 5.43), at least 75% of viral load measurements >500
copies/mL (HR3.41, CI 2.17 to 5.35), and CDC C diagnosis before HAART (HR 5.29,
CI 3.48 to 8.06) (all p <0.001). In addition, a prospective online
model confirmed cumulative log viral load to be a strong risk factor. A repeat analysis
excluding strictly defined primary CNS lymphoma yielded very similar results.
When primary CNS lymphoma (n = 16) was analyzed separately, a stronger effect
of actual CD4 count <200 (HR5.60, CI 1.34 to 23.41, p <0.019) was
observed, and the influence of >75% of viremia measurements >500 copies/mL
was decreased (HR1.81, CI 0.54 to 6.05, p >0.33).
Conclusions: In addition to known risk factors, MSM status and
incomplete viral suppression during HAART were strong predictors for the
development of AIDS-related lymphoma in this analysis. As viremia represents
the only potentially modifiable risk factor identified, a clinical strategy to
optimize HAART at any time-point with respect to viral suppression could help
to minimize the incidence of AIDS-related lymphoma.

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