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Objective: To assess the cost-effectiveness and budget impact of olaparib as a maintenance therapy in platinum-responsive, metastatic pancreatic cancer patients harboring a germline BRCA1/2 mutation, using the Swiss context as a model. Methods: Based on data from the POLO trial, published literature and local cost data, we developed a partitioned survival model of olaparib maintenance including full costs for BRCA1/2 germline testing compared to FOLFIRI maintenance chemotherapy and watch-and-wait. We calculated the incremental cost-effectiveness ratio (ICER) for the base case and several scenario analyses and estimated 5-year budget impact. Results: Comparing olaparib with watch-and wait and maintenance chemotherapy resulted in incremental cost-effectiveness ratios of CHF 2,711,716 and CHF 2,217,083 per QALY gained, respectively. The 5-year costs for the olaparib strategy in Switzerland would be CHF 22.4 million, of which CHF 11.4 million would be accounted for by germline BRCA1/2 screening of the potentially eligible population. This would amount to a budget impact of CHF 15.4 million (USD 16.9 million) versus watch-and-wait. Conclusions: Olaparib is not a cost-effective maintenance treatment option. Companion diagnostics are an equally important cost driver as the drug itself. [ABSTRACT FROM AUTHOR]

Aims: Pembrolizumab has demonstrated significantly prolonged disease-free survival and overall survival (OS) among adult patients post-nephrectomy who have an intermediate-high risk, high-risk, or M1 stage with no evidence of disease (M1 NED) renal cell carcinoma (RCC) with clear cell component. The aim of this study was to evaluate the cost-effectiveness of pembrolizumab for patients with RCC post-nephrectomy versus observation in Switzerland. Materials and methods: A previously published Markov model was adapted for the Swiss setting to estimate the cost-effectiveness of adjuvant pembrolizumab versus observation from the Swiss statutory health insurance perspective. Transition probabilities between model states were estimated using survival curves from KEYNOTE-564 (data cut-off: 14 June 2021). Outcomes included costs (2022 Swiss francs [CHF]), quality-adjusted life-years (QALYs), and life-years (LYs), measured over a lifetime horizon. Costs included drug acquisition and administration for adjuvant and subsequent therapy. Both costs and effectiveness were discounted at 3.0% annually. Cost-effectiveness was evaluated at a hypothetical willingness-to-pay (WTP) threshold of CHF 100,000. Sensitivity was assessed through scenario analyses as well as deterministic and probabilistic sensitivity analyses. Results: Over a lifetime horizon, the total incremental cost for pembrolizumab versus observation was CHF 59,089, providing incremental gains of 0.90 QALYs (1.07 LYs); the incremental cost-effectiveness ratio was CHF 65,299/QALY. Pembrolizumab was deemed cost-effective versus observation, with a 69.9% probability of cost-effectiveness. Limitations: A more recent interim analysis data cut from KEYNOTE-564 with median follow up of 57.2 months has since been published; however, these were not available at the time of analysis. It would likely have minimal impact on transition probabilities from disease-free, and the current approach remains conservative for predicting OS for pembrolizumab. Conclusions: As an adjuvant treatment of RCC post-nephrectomy, pembrolizumab was found to be cost-effective versus observation in Switzerland at a WTP threshold of CHF 100,000/QALY. Policy makers should consider pembrolizumab as an adjuvant treatment for patients with RCC post-nephrectomy when making decisions regarding resource allocation. [ABSTRACT FROM AUTHOR]

Background and Aims We evaluated the cost-effectiveness of early [≤2 years after diagnosis] compared with late or no biologic initiation [starting biologics >2 years after diagnosis or no biologic use] for adults with Crohn's disease in Switzerland. Methods We developed a Markov cohort model over the patient's lifetime, from the health system and societal perspectives. Transition probabilities, quality of life, and costs were estimated using real-world data. Propensity score matching was used to ensure comparability between patients in the early [intervention] and late/no [comparator] biologic initiation strategies. The incremental cost-effectiveness ratio [ICER] per quality-adjusted life year [QALY] gained is reported in Swiss francs [CHF]. Sensitivity and scenario analyses were performed. Results Total costs and QALYs were higher for the intervention [CHF384 607; 16.84 QALYs] compared with the comparator [CHF340 800; 16.75 QALYs] strategy, resulting in high ICERs [health system: CHF887 450 per QALY; societal: CHF449 130 per QALY]. In probabilistic sensitivity analysis, assuming a threshold of CHF100 000 per QALY, the probability that the intervention strategy was cost-effective was 0.1 and 0.25 from the health system and societal perspectives, respectively. In addition, ICERs improved when we assumed a 30% reduction in biologic prices [health system: CHF134 502 per QALY; societal: intervention dominant]. Conclusions Early biologic use was not cost-effective, considering a threshold of CHF100 000 per QALY compared with late/no biologic use. However, early identification of patients likely to need biologics and future drug price reductions through increased availability of biosimilars may improve the cost-effectiveness of an early treatment approach. [ABSTRACT FROM AUTHOR]

Background: Assessing exposure to infections in early childhood is of interest in many epidemiological investigations. Because exposure to infections is difficult to measure directly, epidemiological studies have used surrogate measures available from routine data such as birth order and population density. However, the association between population density and exposure to infections is unclear. We assessed whether neighbourhood child population density is associated with respiratory infections in infants. Methods: With the Basel-Bern lung infant development study (BILD), a prospective Swiss cohort study of healthy neonates, respiratory symptoms and infections were assessed by weekly telephone interviews with the mother throughout the first year of life. Using population census data, we calculated neighbourhood child density as the number of children < 16 years of age living within a 250 m radius around the residence of each child. We used negative binomial regression models to assess associations between neighbourhood child density and the number of weeks with respiratory infections and adjusted for potential confounders including the number of older siblings, day-care attendance and duration of breastfeeding. We investigated possible interactions between neighbourhood child population density and older siblings assuming that older siblings mix with other children in the neighbourhood. Results: The analyses included 487 infants. We found no evidence of an association between quintiles of neighbourhood child density and number of respiratory symptoms (p = 0.59, incidence rate ratios comparing highest to lowest quintile: 1.15, 95%-confidence interval: 0.90–1.47). There was no evidence of interaction with older siblings (p = 0.44). Results were similar in crude and in fully adjusted models. Conclusions: Our study suggests that in Switzerland neighbourhood child density is a poor proxy for exposure to infections in infancy. [ABSTRACT FROM AUTHOR]

Background: Many studies have observed space-time clustering of childhood leukemia (CL) yet few have attempted to elicit etiological clues from such clustering. We recently reported space-time clustering of CL around birth, and now aim to generate etiological hypotheses by comparing clustered and nonclustered cases. We also investigated whether the clustering resulted from many small aggregations of cases or from a few larger clusters. Methods: We identified cases of persons born and diagnosed between 1985 and 2014 at age 0–15 years from the Swiss Childhood Cancer Registry. We determined spatial and temporal lags that maximized evidence of clustering based on the Knox test and classified cases born within these lags from another case as clustered. Using logistic regression adjusted for child population density, we determined whether clustering status was associated with age at diagnosis, immunophenotype, cytogenetic subtype, perinatal and socioeconomic characteristics, and pollution sources. Results: Analyses included 1,282 cases of which 242 were clustered (born within 1 km and 2 years from another case). Of all investigated characteristics only the t(12;21)(p13;q22) translocation (resulting in ETV6-RUNX1 fusion) differed significantly in prevalence between clustered and nonclustered cases (40% and 25%, respectively; adjusted OR 2.54 [1.52–4.23]; p = 0.003). Spatio-temporal clustering was driven by an excess of aggregations of two or three children rather than by a few large clusters. Conclusion: Our findings suggest ETV6-RUNX1 is associated with space-time clustering of CL and are consistent with an infection interacting with that oncogene in early life leading to clinical leukemia. [ABSTRACT FROM AUTHOR]