Generic ibrutinib a potential cost-effective strategy for the first-line treatment of chronic lymphocytic leukaemia.

Though the chronic lymphocytic leukaemia (CLL) management options in India are still limited compared to the novel drug options in resource-rich settings, the availability of less costly generics and the government health insurance scheme has enabled many patients to access the newer drugs in India. The current study compared the cost-effectiveness and cost-utility of existing initial management options for the progression-free survival (PFS) time horizon from the patient's perspective. A two-health-state, PFS and progressive disease, Markov model was assumed for three regimens (generics): ibrutinib monotherapy, bendamustine-rituximab (B-R), and rituximab-chlorambucil (RClb) used as the frontline treatment of CLL patients in India. All costs, utilization of services, and consequences data during the PFS period were collected from interviewing patients during follow-up visits. The transition probability (TP) and average PFS information were obtained from landmark published studies. EQ-5D-5L questionnaires were utilized to assess the quality of life (QoL). Quality-adjusted life years (QALY) were measured during the PFS period. The incremental cost-effectiveness ratio (ICER) and incremental cost-utility ratio (ICUR) were studied. Upon analysis, the entire monetary expense during the PFS time was ₹1581964 with ibrutinib, ₹171434 with B-R, and ₹91997 with RClb treatment arm. Pooled PFS and QALY gain was 10.33 and 8.28 years for ibrutinib, 4.08 and 3.53 years for the B-R regimen, and 1.33 and 1.23 years in RClb arms, respectively. Ibrutinib's ICER and ICUR were ₹214587.32 per PFS year gain and ₹282384.86 per QALY gain when assessed against the B-R regimen. Ibrutinib also performed better in ICER and ICUR against the RClb arm with ₹157014.29 per PFS year gain and ₹200413.6 per QALY gain. In conclusion, generic ibrutinib is a cost-effective initial line of management compared to other commonly used treatment regimes in resource-limited settings.