Cost-per-remitter with esketamine nasal spray versus standard of care for treatment-resistant depression.

Aim: Estimate the cost-per-remitter with esketamine nasal spray plus an oral antidepressant (ESK + oral AD) versus oral AD plus nasal placebo (oral AD + PBO) among patients with treatment-resistant depression. Patients & methods: An Excel-based model was developed to estimate the cost-per-remitter for ESK + oral AD versus oral AD + PBO over 52 weeks from multiple US payer perspectives. Clinical end points and cost inputs were derived from clinical trials and the literature, respectively. Results: Under the base-case scenario, the cost-per-remitter for ESK + oral AD and oral AD + PBO were as follows: Commercial: US$85,808 versus US$100,198; Medicaid: US$76,236 versus US$96,067; Veteran's Affairs: US$77,765 versus US$104,519; and Integrated Delivery Network: US$103,924 versus US$142,766. Conclusion: The findings suggest that ESK + oral AD is a cost-efficient alternative treatment for treatment-resistant depression compared with oral AD + PBO.

Lay abstract The US FDA recently approved esketamine nasal spray plus an oral antidepressant (AD) as a new treatment for adults with treatment-resistant depression. We developed an Excel-based model to understand whether esketamine + oral AD treatment offers better value for the money spent, compared with treatment with oral AD alone. We find that the higher annual costs of esketamine + oral AD treatment are more than offset by the better clinical outcomes achieved with this treatment. Specifically, in a given year, more people treated with esketamine + oral AD versus oral AD alone achieved and remained in remission, and as a result, they incurred fewer other medical costs.

Economic and clinical benefits of early identification of acute kidney injury using a urinary biomarker.

Purpose: To evaluate the budget impact of adding a diagnostic test of tissue inhibitor of metalloproteinase 2 and insulin-like growth factor binding protein 7 ([TIMP-2]·[IGFBP7]), which identifies patients at risk of moderate-to-severe acute kidney injury (AKI), to the current standard of care (SOC) in a hospital setting.Materials and methods: A budget impact model (2017 USD) was developed from the perspective of a hypothetical US hospital system serving 10,000 inpatients annually. The model estimated the impact of assessing the risk of AKI using SOC vs a combination of SOC and the US Food and Drug Administration-approved assay [TIMP-2]·[IGFBP7] over a 1-year period. Potential cost implications were assessed using estimates for payer mix among patients, diagnostic efficacy, and patient healthcare resource utilization. The model also considered provider adoption rates and the estimated costs of [TIMP-2]·[IGFBP7].Results: Compared to SOC alone, adding [TIMP-2]·[IGFBP7] to SOC was associated with a $1,855 reduction in uncompensated care per patient tested, which, after accounting for the additional costs of the test ($277), resulted in net savings of $1,578 per patient tested. The findings were robust to input parameter variations, as demonstrated by deterministic and probabilistic sensitivity analyses. In the probabilistic sensitivity analyses, net cost savings to the hospital ranged from $50,308-$3,971,514, or $101-$7,943 per tested patient (mean = $1,710; 95% confidence interval = $1,691-$1,729).Conclusions: The introduction of [TIMP-2]·[IGFBP7] as a novel tool in the identification of AKI risk may result in considerable cost savings from a hospital perspective under this model's base-case assumptions. Further prospective studies are needed to confirm these findings in a real-world setting.Key points for decision makersAn economic model was constructed to determine the budget impact of adding a diagnostic test ([TIMP-2]·[IGFBP7]), which identifies patients at risk of moderate-to-severe acute kidney injury, to the current standard of care (SOC) in a hospital setting.According to the present model, the use of [TIMP-2]·[IGFBP7] to identify acute kidney injury risk may reduce costs for hospitals by ∼$1,578 per patient tested.