The time consuming nature of phenylketonuria: A cross-sectional study investigating time burden and costs of phenylketonuria in the Netherlands

Abstract Background Phenylketonuria (PKU) is a rare inborn error of metabolism that affects the ability of patients to metabolise phenylalanine (Phe). Lifelong management of blood Phe levels is required in order to avoid the complications associated with PKU. This constitutes a severely protein restricted diet, and regular monitoring of Phe levels. Management of PKU may be costly and time-consuming for adult patients or caregivers of PKU-affected children. A cross-sectional study was performed with patients or their caregivers in the Netherlands to gain insight into the personal time burden and cost of living with PKU. Methods A systematic literature review was performed to identify all aspects of PKU management that may pose a financial or time burden on patients or caregivers. Findings were confirmed through interviews with PKU experts and feedback from patients and caregivers, and consolidated into a questionnaire that aimed to evaluate the impact of each of these factors. Early and continuously treated adult patients and caregivers from seven metabolic centres were recruited to complete the questionnaire online. Results 22 adult patients and 24 caregivers participated in the study. Managing a Phe-restricted diet represented an extra time burden of 1 h and 24 min for caregivers and 30 min for adult patients per day. Caregivers reported a significantly higher time burden than adult patients. The median total out-of-pocket cost (OOPC) for patients was €604 annually, with 99% of expenditure on low-protein food products. Greater disease severity was significantly associated with increased OOPC and time burden for both adult patients and caregivers. Conclusions Management of PKU is associated with a considerable time burden for both caregivers of children with PKU and adult patients. Caregivers of PKU-affected children reported a significantly higher time burden than adult patients. The OOPC of caregivers and patients was mainly driven by the expenditure on low protein food

Cost-effectiveness of finerenone in chronic kidney disease associated with type 2 diabetes in The Netherlands

Abstract Background In the Netherlands, more than one million patients have type 2 diabetes (T2D), and approximately 36% of these patients have chronic kidney disease (CKD). Yearly medical costs related to T2D and CKD account for approximately €1.3 billion and €805 million, respectively. The FIDELIO-DKD trial showed that the addition of finerenone to the standard of care (SoC) lowers the risk of CKD progression and cardiovascular (CV) events in patients with CKD stages 2–4 associated with T2D. This study investigates the cost-effectiveness of adding finerenone to the SoC of patients with advanced CKD and T2D compared to SoC monotherapy. Methods The validated FINE-CKD model is a Markov cohort model which simulates the disease pathway of patients over a lifetime time horizon. The model was adapted to reflect the Dutch societal perspective. The model estimated the incremental costs, utilities, and incremental cost-effectiveness ratio (ICER). Sensitivity and scenario analyses were performed to assess the effect of parameter uncertainty on model robustness. Results When used in conjunction with SoC, finerenone extended time free of CV events and renal replacement therapy by respectively 0.30 and 0.31 life years compared to SoC alone, resulting in an extension of 0.20 quality-adjusted life years (QALYs). The reduction in renal and CV events led to a €6136 decrease in total lifetime costs per patient compared to SoC alone, establishing finerenone as a dominant treatment option. Finerenone in addition to SoC had a 83% probability of being dominant and a 93% probability of being cost-effective at a willingness-to-pay threshold of €20,000. Conclusion By reducing the risk of CKD progression and CV events, finerenone saves costs to society while gaining QALYs in patients with T2D and advanced CKD in the Netherlands