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USE OF DELAVIRDINE (DLV) AND LOPINAVIR/r (LPV) IN HEAVILY PRE-TREATED PATIENTS
Michelle Jones, Salima Jutha, Jennie Prasad, Brian Conway
Department of Pharmacology & Therapeutics, University of British Columbia, Vancouver,
British Columbia
Objectives: The design of antiretroviral regimens for heavily pre-treated
patients (salvage therapy) is often hampered by the limited, complex options
that remain available to us. Given the positive pharmacokinetic interactions
that have been reported between DLV and LPV and the potential potency of this
combination, we hypothesize that, adding a nucleoside analogue (NRTI), a simple
three-drug regimen could be evaluated in salvage therapy. We have done so within
the context of a prospective, observational study.
Methods: Patients attending a tertiary care referral clinic and who have
experienced a virologic breakthrough while receiving at least one agent from
each class were eligible. All patients received DLV 600 mg bid, LPV 2 capsules
bid (reduced dose based on reported pharmacokinetic interactions) and NRTI(s).
Follow-up clinical, virologic and immunologic evaluations were completed at
weeks 2, 4, 8 and 12, then every three months, more frequently as appropriate.
Results: To date, 7 patients (all male) have been studied. All had prior
exposure to at least 3 NRTIs, one NNRTI and one PI. In addition to DLV/LPV,
patients received abacavir alone (4), or 3TC, d4T or d4T/3TC/abacavir (one each).
Mean baseline CD4 count was 228 (10-450) cells/mm3, and plasma viral load 457,000
(17,000-750,000) copies/mL. In follow-up (mean 35 weeks), these values were
450 cells/mm3 and 3,990 copies/mL. Additional data on baseline and follow-up
resistance testing and pharmacokinetic studies of DLV and LPV will be presented.
Conclusions: Simple (as few as 6 capsules bid, with 200 mg DLV capsules)
salvage therapy regimens can be constructed, and appear to be effective in the
medium term. The use of novel agents such as tenofovir and the refinement of
this approach based on resistance and pharmacokinetic data may further enhance
our ability to provide options for some of our most treatment-experienced patients.