RESUMO
This retrospective study was conducted to evaluate all-cause healthcare resource utilization (HCRU) and costs in commercially insured patients living with pulmonary arterial hypertension (PAH) and explore end-of-life (EOL)-related HCRU and costs. Data from the IQVIA PharMetrics® Plus database (October 2014 to May 2020) were analyzed to identify adults (≥18 years) with PAH (PAH cohort) and those without PH (non-PH cohort). Patients were required to have data for ≥12 months before (baseline) and ≥6 months after (follow-up) the first observed PH diagnosis (index date) for PAH cohort or pseudo index date for non-PH cohort. A PAH EOL cohort was similarly constructed using a broader data window (October 2014 to March 2022) and ≥1 month of follow-up. Annualized all-cause HCRU and costs during follow-up were compared between PAH and non-PH cohorts after 1:1 matching on propensity scores derived from patient characteristics. EOL-related HCRU and costs were explored within 30 days and 6 months before the death date and estimated by a claims-based algorithm in PAH EOL cohort. The annual all-cause total ($183,616 vs. $20,212) and pharmacy ($115,926 vs. $7862; both p < 0.001) costs were 8 and 14 times higher, respectively, in the PAH cohort versus matched non-PH cohort (N = 386 for each). In PAH EOL cohort (N = 28), the mean EOL-related costs were $48,846 and $167,524 per patient within 30 days and 6 months before the estimated death, respectively. Hospitalizations contributed 58.8%-70.8% of the EOL-related costs. The study findings indicate substantial HCRU and costs for PAH. While pharmacy costs were one of the major sources, hospitalization was the primary driver for EOL-related costs.
RESUMO
OBJECTIVES: Using a US payer perspective, this study aimed to compare the lifetime cost-effectiveness of adding sodium-glucose cotransporter 2 (SGLT2) inhibitors vs switching to glucagon-like peptide 1 receptor agonists (GLP-1 RAs) among patients with type 2 diabetes who were not at glycated hemoglobin A1c target after dual therapy with metformin and dipeptidyl peptidase-4 (DPP-4) inhibitors. STUDY DESIGN: The cost-effectiveness analysis was performed with the validated IQVIA Core Diabetes Model. Treatment effects were obtained from randomized clinical trials with economic data based on published literature. METHODS: Risk of treatment-emergent adverse events and complications were simulated using submodels informed by published risk equations adjusted for patient characteristics, physiological parameters, and history of complications. Outcomes included cumulative incidence of micro- and macrovascular complications, life-years (LYs), quality-adjusted life-years (QALYs), and total costs. Scenario analyses were performed to assess robustness of results to variations in clinical and cost inputs and assumptions. RESULTS: Over a lifetime time horizon, adding an SGLT2 inhibitor dominated the strategy of switching to a GLP-1 RA, improving survival by 0.049 LYs and 0.026 QALYs, and was associated with cost savings of $9511. The majority of the scenario analyses confirmed dominance of the DPP-4 inhibitor + SGLT2 inhibitor pathway vs the GLP-1 RA pathway. The probabilistic sensitivity analysis reinforced the base-case finding of cost savings while gaining QALYs. CONCLUSIONS: Intensification with an SGLT2 inhibitor on top of a DPP-4 inhibitor demonstrated slightly better efficacy and cost savings compared with switching to a GLP-1 RA in patients not at glycemic goal with metformin and a DPP-4 inhibitor.