Integrated budget impact model to estimate the impact of introducing selpercatinib as a tumor-agnostic treatment option for patients with RET-altered solid tumors in the US.

OBJECTIVE: To estimate the potential budget impact on US third party payers (commercial or Medicare) associated with addition of selpercatinib as a tumor-agnostic treatment for patients with Rearranged during Transfection (RET)-altered solid tumors. METHODS: An integrated budget impact model (iBIM) with 3-year (Y) time horizon was developed for 19 RET-altered tumors. It is referred to as an integrated model because it is a single model that integrated results across multiple tumor types (as opposed to tumor-specific models developed traditionally). The model estimated eligible patient populations and included tumor-specific comparator treatments for each tumor type. Estimated annual total costs (2022USD, $) included costs of drug, administration, supportive care, and toxicity. For a one-million-member plan, the number of patients with RET-altered tumors eligible for treatment, incremental total costs, and incremental per-member per-month (PMPM) costs associated with introduction of selpercatinib treatment were estimated. Uncertainty associated with model parameters was assessed using various sensitivity analyses. RESULTS: Commercial perspective estimated 11.68 patients/million with RET-altered tumors as treatment-eligible annually, of which 7.59 (Y1), 8.17 (Y2), and 8.76 (Y3) patients would be selpercatinib-treated (based on forecasted market share). The associated incremental total and PMPM costs (commercial) were estimated to be: $873,099 and $0.073 (Y1), $2,160,525 and $0.180 (Y2), and $2,561,281 and $0.213 (Y3), respectively. The Medicare perspective estimated 55.82 patients/million with RET-altered tumors as treatment-eligible annually, of which 36.29 (Y1), 39.08 (Y2), and 41.87 (Y3) patients would be selpercatinib-treated. The associated incremental total and PMPM costs (Medicare) were estimated to be: $4,447,832 and $0.371 (Y1), $11,076,422 and $0.923 (Y2), and $12,637,458 and $1.053 (Y3), respectively. One-way sensitivity analyses across both perspectives identified drug costs, selpercatinib market share, incidence of RET, and treatment duration as significant drivers of incremental costs. CONCLUSIONS: Three-year incremental PMPM cost estimates suggest a modest impact on payer-budgets associated with introduction of tumor-agnostic selpercatinib treatment.

Diagnostic Value and Cost-Effectiveness of Next-Generation Sequencing-Based Testing for Treatment of Patients with Advanced/Metastatic Non-Squamous Non-Small-Cell Lung Cancer in the United States.

The study evaluated the diagnostic value and cost-effectiveness of next-generation sequencing (NGS)-based testing versus various combinations of single-gene tests (SGTs) for selection of first-line treatment for patients with advanced/metastatic non-squamous non-small-cell lung cancer in the United States. A dynamic decision analysis model was developed comparing NGS versus SGT from a payer perspective. Inputs were obtained from published sources and included diagnostic performance, biomarker-positive disease rates, biomarker-directed recommendations for treatment, and survival outcomes. Costs were reported in 2020 US dollars. In the base case, NGS improved the detection of actionable biomarkers by 74.4%, increased the proportion of patients receiving biomarker-driven therapy by 11.9%, and decreased the proportion of patients with biomarker-positive disease receiving non-biomarker-driven first-line treatment by 40.5%. The incremental cost-effectiveness ratio per life-year gained of NGS testing versus SGT was $7224 (excluding post-diagnostic costs); the incremental cost-effectiveness ratio for NGS-directed therapy was $148,786 versus SGT-directed therapy. Sensitivity analyses confirmed the robustness of these findings; survival outcomes and targeted therapy costs had the greatest impact on results. Testing strategies with NGS are more comprehensive in the detection of actionable biomarkers and can improve the proportion of patients receiving biomarker-driven therapies. NGS testing may provide a cost-effective strategy for advanced/metastatic non-squamous non-small-cell lung cancer; however, the value of NGS-directed therapy varies by the willingness-to-pay threshold of the decision-maker.

Minimization of olaratumab drug waste using real-world data.

PURPOSE: Results of a study in which population-based body weight and body surface area (BSA) data were used for vial size optimization to reduce drug waste associated with administration of the i.v. anticancer agent olaratumab are reported. METHODS: A retrospective observational study was conducted to determine weight and BSA distributions in a large sample of U.S. oncology patients using data from a large electronic medical record database. Body weight and BSA values at the time of initial systemic anticancer therapy were used to compute olaratumab dose requirements in a cohort of patients with soft tissue sarcoma; those data were analyzed to derive estimates of drug waste likely to result from the use of various proposed olaratumab vial sizes in combination with an existing 500-mg size. Weight and BSA distributions were calculated for additional cohorts of patients with 7 other cancer types. RESULTS: Median weight values in men (n = 1,179) and women (n = 1,078) with soft tissue sarcoma were 82.55 kg (interquartile range [IQR], 72.58-95.53 kg) and 68.69 kg (IQR, 58.51-84.28 kg), respectively. Modeling of olaratumab dosing scenarios indicated that use of the 500-mg vial only would result in estimated average drug waste of 234 mg per patient per administration; analysis of various potential vial size combinations showed that waste could be reduced by 87.6% with the addition of a 190-mg vial size. CONCLUSION: Analysis of real-world patient weight and BSA data allowed olaratumab vial size optimization to enable maximal dosing flexibility with minimal drug waste.

Enhancing the Budget Impact Model for Institutional Use: A Tool with Practical Applications for the Hospital Oncology Pharmacy.

BACKGROUND: The cost of cancer care is increasing, and tools are needed to understand the economic impact of new drugs on the hospital pharmacy budget. OBJECTIVE: To develop an interactive budget impact model (BIM) through a collaborative effort of industry, academia, and modeling experts to evaluate the use of a new agent in non-small cell lung cancer (NSCLC); this BIM included an institutional module specific to the needs of practices that purchase medications for use in institutional settings. METHODS: Treatment regimens, doses, duration of therapy, toxicity, and cost data are from published sources. All input data may be modified to match the local population. Outputs include cost of care, reimbursement, and margin overall and by treatment regimen. RESULTS: The base case assumes 20 NSCLC patients progressing after initial therapy (3 receiving ramucirumab+docetaxel, 2 bevacizumab+erlotinib, 3 docetaxel, 6 erlotinib, and 6 pemetrexed), wholesale acquisition cost (WAC) purchase price, and reimbursement at WAC+4.3%. The model estimated the total cost and reimbursement for the institutional oncology pharmacy to be $699,413 and $729,487, respectively, resulting in a margin of $30,075 (difference due to rounding) for the year for regimens utilized in the treatment of NSCLC in the post-progression setting. Results will vary depending on the input data. CONCLUSIONS: There is an increasing need for institutional pharmacies to plan ahead and anticipate the impact of new drugs on their oncology budgets. This interactive Excel-based institutional BIM may provide evidence-based support for pharmacy decision making.

Ulocuplumab (BMS-936564 / MDX1338): a fully human anti-CXCR4 antibody induces cell death in chronic lymphocytic leukemia mediated through a reactive oxygen species-dependent pathway.

The CXCR4 receptor (Chemokine C-X-C motif receptor 4) is highly expressed in different hematological malignancies including chronic lymphocytic leukemia (CLL). The CXCR4 ligand (CXCL12) stimulates CXCR4 promoting cell survival and proliferation, and may contribute to the tropism of leukemia cells towards lymphoid tissues. Therefore, strategies targeting CXCR4 may constitute an effective therapeutic approach for CLL. To address that question, we studied the effect of Ulocuplumab (BMS-936564), a fully human IgG4 anti-CXCR4 antibody, using a stroma--CLL cells co-culture model. We found that Ulocuplumab (BMS-936564) inhibited CXCL12 mediated CXCR4 activation-migration of CLL cells at nanomolar concentrations. This effect was comparable to AMD3100 (Plerixafor--Mozobil), a small molecule CXCR4 inhibitor. However, Ulocuplumab (BMS-936564) but not AMD3100 induced apoptosis in CLL at nanomolar concentrations in the presence or absence of stromal cell support. This pro-apoptotic effect was independent of CLL high-risk prognostic markers, was associated with production of reactive oxygen species and did not require caspase activation. Overall, these findings are evidence that Ulocuplumab (BMS-936564) has biological activity in CLL, highlight the relevance of the CXCR4-CXCL12 pathway as a therapeutic target in CLL, and provide biological rationale for ongoing clinical trials in CLL and other hematological malignancies.

Implementing inpatient, evidence-based, antihistamine-transfusion premedication guidelines at a single academic US hospital.

Allergic transfusion reactions (ATRs) are a common complication of blood transfusions. Advances in transfusion medicine have significantly decreased the incidence of ATRs; however, ATRs continue to be burdensome for patients and problematic for providers who regularly order packed red blood cells and platelet transfusions. To further decrease the frequency of ATRs, routine premedication with diphenhydramine is common practice and is part of "transfusion culture" in a majority of institutions. In this article, we review the history, practice, and literature of transfusion premedication, specifically antihistamines given the adverse-effect profile. We discuss the rationale and original academic studies, which have supported the use of premedication for transfusions for decades. However, despite the common use of premedication to prevent ATRs, recent literature has not conclusively validated its use. In addition, the existing premedication that is routinely prescribed often causes a number of adverse effects. These findings have motivated the Moores Cancer Center (University of California, San Diego) to change its current transfusion premedication practices, particularly with regard to ATRs and first-generation antihistamines. We outline the preliminary development of an evidence-based and patient-specific approach to transfusion premedication, including the challenges and steps taken to revise inpatient premedication protocols. We plan to expand this protocol to the outpatient setting at a later date. Future efforts require a prospective validation of our presented transfusion premedication guidelines.

Sleep aid prescribing practices during neoadjuvant or adjuvant chemotherapy for breast cancer.

PURPOSE: Sleep disruption is a common complaint in breast cancer patients receiving chemotherapy. We describe the sleep aid prescribing practices of oncologists treating women receiving adjuvant or neoadjuvant chemotherapy for breast cancer at a single institution. METHODS: Subjects with early-stage breast cancer who received four cycles of neoadjuvant or adjuvant Adriamycin® and cyclophosphamide (AC) at the University of California, San Diego over a 2-year period were evaluated by retrospective chart review. Clinical data pertinent to sleep disorders and electronic prescriptions for sleep aids were collected using the electronic medical record. RESULTS: Of the 124 breast cancer subjects, 52.4% discussed sleep with their provider. Whereas 13.7% of subjects reported prior sleep aid use, 32.3% were prescribed sleep aids during chemotherapy, most commonly lorazepam (31.4%) and zolpidem (29.4%). Women prescribed sleep aids during chemotherapy were significantly more likely to discuss sleep with their provider, more likely to have been taking sleep aids previously, and more likely to be taking psychiatric medications. CONCLUSIONS: Sleep disturbances during AC chemotherapy for early-stage breast cancer are common and are frequently treated with sleep aid medications. We show that women with prior sleep aid use and concurrent psychiatric medication use were more likely to need sleep aids during chemotherapy, suggesting these are high-risk populations that could be targeted for intervention prospectively.