Public Health Impact and Cost-Effectiveness Analysis of 4-Component Meningococcal Serotype B Vaccination for Infants in France.

BACKGROUND AND OBJECTIVES: In France, meningococcal serogroup B (MenB) is the most common serogroup causing invasive meningococcal disease (IMD) in infants and young children. Our objective was to illustrate the impact of model choices on health outcomes and the cost-effectiveness of infant vaccination with the multicomponent meningococcal serogroup B vaccine (4CMenB) versus no vaccine in France. METHODS: A previously published dynamic transmission-based cost-effectiveness model was adapted for the French context using updated, French-specific demographic, epidemiological, and cost data. IMD incidence and long-term sequelae were derived through analysis of French healthcare and surveillance databases. A collective perspective over a 100-year time horizon was adopted, with a discount rate of 2.5%, reduced to 1.5% after the first 30 years. Deterministic and probabilistic sensitivity and scenario analyses were performed. RESULTS: In the base case analysis, infant vaccination with 4CMenB avoided 3101 MenB IMD cases in infants aged < 1 year (- 54%) and 6845 cases in all age groups (- 21%). The estimated incremental cost-effectiveness ratio was €316,272/quality-adjusted life-year (QALY) but was highly sensitive to the types of sequelae included, MenB incidence, vaccine effectiveness parameters, and consideration of life-expectancy in IMD survivors (range: €65,272/QALY to €493,218/QALY). CONCLUSIONS: Using economic models compliant with French methodology guidelines, 4CMenB does not seem cost-effective; however, results are sensitive to model choices and 4CMenB immunization is an effective strategy to prevent MenB IMD cases and to improve quality of life and economic burden associated with MenB IMD treatment, especially with regard to long-term sequelae.

Invasive meningococcal disease (IMD) is rare but can lead to lifelong disabilities and death. It is caused by a type of bacteria called Neisseria meningitidis. IMD is most common in infants and young children, and in this group it is mostly caused by Neisseria serogroup B bacteria. We analyzed the number of IMD cases caused by serogroup B in France, as well as sequelae (long-time effects of the disease), using data from national healthcare databases. The most common sequelae observed were epilepsy, severe neurological disorders, and anxiety, occurring in approximately 5% of patients. We then calculated the costs and benefits of the multicomponent meningococcal serogroup B vaccine (4CMenB) vaccine for infants and young children in France. The results showed that 4CMenB vaccination can reduce the number of IMD cases due to serogroup B by 3101 cases (− 54%) in infants under 1 year and by 6845 cases (− 21%) in all age groups. Over 100 years, vaccination could prevent over 2000 cases of IMD that result in disabilities and 438 deaths. The estimated cost-effectiveness ratio was high. However, costs per health benefit gained decreased when focusing on long-term health benefits. In France, there is no threshold for the cost-effectiveness ratio and the French Health Authority has included 4CMenB in its vaccination schedule. This recommendation reflects results from our study, which highlights the considerable burden on families and patients, mostly because of IMD-related disabilities. Early vaccination is a good way to protect infants and young children against this serious disease.

The Determination of Diabetes Utilities, Costs, and Effects Model: A Cost-Utility Tool Using Patient-Level Microsimulation to Evaluate Sensor-Based Glucose Monitoring Systems in Type 1 and Type 2 Diabetes: Comparative Validation.

OBJECTIVES: To assess the accuracy and validity of the Determination of Diabetes Utilities, Costs, and Effects (DEDUCE) model, a Microsoft-Excel-based tool for evaluating diabetes interventions for type 1 and type 2 diabetes. METHODS: The DEDUCE model is a patient-level microsimulation, with complications predicted based on the Sheffield and Risk Equations for Complications Of type 2 diabetes models for type 1 and type 2 diabetes, respectively. For this tool to be useful, it must be validated to ensure that its complication predictions are accurate. Internal, external, and cross-validation was assessed by populating the DEDUCE model with the baseline characteristics and treatment effects reported in clinical trials used in the Fourth, Fifth, and Ninth Mount Hood Diabetes Challenges. Results from the DEDUCE model were evaluated against clinical results and previously validated models via mean absolute percentage error or percentage error. RESULTS: The DEDUCE model performed favorably, predicting key outcomes, including cardiovascular disease in type 1 diabetes and all-cause mortality in type 2 diabetes. The model performed well against other models. In the Mount Hood 9 Challenge comparison, error was below the mean reported from comparator models for several outcomes, particularly for hazard ratios. CONCLUSIONS: The DEDUCE model predicts diabetes-related complications from trials and studies well when compared with previously validated models. The model may serve as a useful tool for evaluating the cost-effectiveness of diabetes technologies.

Generalized pustular psoriasis: A nationwide population-based study using the National Health Data System in France.

BACKGROUND: GPP is a rare, chronic, neutrophilic skin disease, with limited real-world data characterizing patients with flares and the impact of flares on disease progression and morbidity. OBJECTIVE: Describe the clinical characteristics of patients with GPP, comorbidities, disease epidemiology and frequency and severity of flares, and compare patients with GPP with a matched severe psoriasis population. METHODS: In this population-based real-world cohort study an algorithm was developed to identify patients with GPP flares. Three cohorts were identified using the Système National des Données de Santé (SNDS) database covering almost the entire French population; a prevalent cohort (2010-2018), an incident cohort (2012-2015). A severe psoriasis cohort was compared with the GPP incident cohort using propensity score matching. RESULTS: The prevalent and incident cohorts comprised 4195 and 1842 patients, respectively. In both cohorts, mean age was 58 years; 53% were male. Comorbidities were significantly more common in the incident cohort versus matched psoriasis cohort, respectively, including hypertension (44% vs. 26%), ischaemic heart disease (26% vs. 18%) and hyperlipidaemia (25% vs. 15%). In the incident cohort, the flare rate was 0.1 flares/person-year and 0.4 flares/person-year among the 569 out of 1842 patients hospitalized with flares. These patients had a mean (±SD) stay of 11.6 ± 10.4 days; 25% were admitted to the intensive care unit. In 2017, the cumulative incidence and cumulative GPP age-sex standardized prevalence were 7.1 and 45.2 per million, respectively. CONCLUSIONS: Patients with GPP had a distinct comorbidity profile compared to patients with severe psoriasis, and GPP flares were associated with long hospitalizations.

Respiratory syncytial virus-related hospital stays in adults in France from 2012 to 2021: A national hospital database study.

BACKGROUND: Respiratory syncytial virus (RSV) causes lower respiratory tract infections (LRTI) that may lead to hospitalization or death. The present study aimed to assess the burden of RSV infections in hospitalized adults. METHODS: RSV-related hospitalizations were identified from the nationwide hospital claims database in France (PMSI) from 2012 to 2021 using ICD-10 codes J12.1, J20.5, J21.0 or B97.4, and outcomes assessment focused on 2016-2020. In-hospital outcomes included length of stay, need for intensive care (ICU) and in-hospital all-cause mortality. Post-discharge outcomes included 30-day readmission for decompensation, 90-day RSV-related readmission, and 30 and 60-day in-hospital mortality. RESULTS: A cumulated number of 17 483 RSV-related stays were identified representing a rate of 72.0 cases per million stays. The outcomes assessment included 12,987 patients: 55.8 % were females and the mean age was 74.1 ± 16.4 years, with 57 % ≥ 75 years. Most of patients (78.6 %) had at least one comorbidity, mainly chronic respiratory (56.3 %) and cardiovascular diseases (41.3 %), or diabetes (23.5 %). A co-infection was found in 22.4 %, primarily bacterial (12 %). The mean length of stay was 12.3 ± 13.1 days. Overall, 10.9 % were admitted to an ICU and in-hospital mortality was 7.3 %. In-hospital outcomes were higher in cases of co-infection. Among 12 033 patients alive at discharge from the index stay, 6.5 % were readmitted with RSV within 90 days, 8.1 % for decompensation within 30 days, and 5.6 % died within 60-day. CONCLUSION: This study demonstrated the high burden of RSV infections in older adults and those with chronic conditions, and the need for preventive strategies.

Budget Impact Analysis of Expanding Gliflozin Coverage in the CKD Population: A French Perspective.

INTRODUCTION: Gliflozins have historically been indicated for type 2 diabetes in France. However, their efficacy has recently been demonstrated in heart failure and chronic kidney disease (CKD), with positive recommendations by Haute Autorité de Santé for gliflozin therapies in these indications. The study objective was to investigate the 5-year budget impact associated with the introduction of gliflozins in addition to standard therapy in people with CKD and elevated albuminuria, regardless of diabetes status, from the perspective of the French healthcare system. METHODS: A budget impact model was developed to estimate the 5-year implications of incorporating gliflozins in the treatment of patients with CKD in France, using efficacy data from the Dapagliflozin and Prevention of Adverse Outcomes in Chronic Kidney Disease (DAPA-CKD) trial. Direct medical costs associated with drug acquisition and management, treatment-related adverse events, dialysis and kidney transplantation, and adverse clinical outcomes were considered. Market share forecasts were estimated from historical data and expert opinions. Event rates were derived from trial data, while cost data were sourced from published estimates. RESULTS: The introduction of gliflozins was estimated to be cost saving compared to the no gliflozins scenario, with an expected cumulative 5-year budget impact of -€650 million, driven by slowed disease progression in patients treated with gliflozins, with fewer patients cumulatively progressing to end-stage kidney disease (84,526 vs. 92,062). This, in addition to fewer hospitalisations for heart failure and deaths from any cause, led to substantial medical care cost offsets (kidney-related: - €894 million; hospitalisation for heart failure: - €14.3 million; end-of-life care: - €17.3 million) to the additional drug acquisition (€273 million) and treatment-related adverse events costs (€2.98 million). CONCLUSION: In concert with early diagnosis and proactive management of CKD, the expansion of the gliflozin indications into the French CKD population presents the opportunity to reduce the substantial burden associated with cardio-renal complications which outweighs the additional cost of the new treatment. INFOGRAPHIC.

How are health technology assessment bodies responding to the assessment challenges posed by cell and gene therapy?

BACKGROUND: The aims of this research were to provide a better understanding of the specific evidence needs for assessment of clinical and cost-effectiveness of cell and gene therapies, and to explore the extent that the relevant categories of evidence are considered in health technology assessment (HTA) processes. METHODS: A targeted literature review was conducted to identify the specific categories of evidence relevant to the assessment of these therapies. Forty-six HTA reports for 9 products in 10 cell and gene therapy indications across 8 jurisdictions were analysed to determine the extent to which various items of evidence were considered. RESULTS: The items to which the HTA bodies reacted positively were: treatment was for a rare disease or serious condition, lack of alternative therapies, evidence indicating substantial health gains, and when alternative payment models could be agreed. The items to which they reacted negatively were: use of unvalidated surrogate endpoints, single arm trials without an adequately matched alternative therapy, inadequate reporting of adverse consequences and risks, short length of follow-up in clinical trials, extrapolating to long-term outcomes, and uncertainty around the economic estimates. CONCLUSIONS: The consideration by HTA bodies of evidence relating to the particular features of cell and gene therapies is variable. Several suggestions are made for addressing the assessment challenges posed by these therapies. Jurisdictions conducting HTAs of these therapies can consider whether these suggestions could be incorporated within their existing approach through strengthening deliberative decision-making or performing additional analyses.

Data Governance for Real-World Data Management: A Proposal for a Checklist to Support Decision Making.

OBJECTIVES: Real-world data (RWD) and real-world evidence (RWE) can provide extensive information on healthcare for use in health technology assessment and decision making. Nevertheless, there is a lack of consensus surrounding the appropriate data governance (DG) practices for RWD/RWE. Data sharing is also a large concern, especially considering evolving data protection regulations. Our objective is to propose recommendations for international standards of evaluating the acceptability of RWD governance practices. METHODS: After reviewing the literature, we created a checklist targeting DG practices for RWD/RWE. We then carried out a 3-round Delphi panel, including European policy makers, health technology assessment experts, and hospital managers. The consensus for each statement was measured and the checklist adjusted accordingly. RESULTS: The literature review identified the main topics regarding RWD/RWE DG practices: data privacy and security, data management and linkage, data access management, and the generation and use of RWE. Members of the Delphi panel (21 experts/25 invited) were presented a total of 24 statements related to each of the topics. Experts demonstrated a progressive level of consensus and importance ratings in all topics and to most statements. We suggest a refined checklist in which the statements rated less important or with less consensus have been removed. CONCLUSIONS: This study suggests how the DG of RWD/RWE could be qualitatively evaluated. We propose checklists that could be used by all RWD/RWE users to help ensure the quality and integrity of RWD/RWE governance and complement data protection law.

Reduced Acute Diabetes Events After FreeStyle Libre System Initiation in People 65 Years or Older with Type 2 Diabetes on Intensive Insulin Therapy in France.

Background and Aims: Older people with type 2 diabetes (T2DM) on insulin are at increased risk of hypoglycemia and associated morbidity. Management of T2DM in older people must optimize glycemic control, while minimizing risks for hypoglycemia and diabetic ketoacidosis (DKA). In France, the FreeStyle Libre® (FSL) system has been reimbursed since June 2017 for T2DM on intensive insulin therapy. We assessed the impact of starting FSL on hospitalizations for acute diabetes events (ADEs) in people ≥65 years old, with T2DM on intensive insulin therapy. Materials and Methods: A retrospective study on the French Système National des Données de Santé (SNDS) claims database was conducted on people ≥65 years old with T2DM, treated with multiple daily injections (MDI) or insulin pump and starting FSL between August 1, 2017, to December 31, 2018. The analysis covered claims data for 12 months before, and up to 24 months after FSL initiation. Hospitalizations for severe hypoglycemia (SH), DKA, comas, and hyperglycemia were identified using ICD-10 codes. Results: We identified 38,312 people with T2DM ≥65 years old on intensive insulin therapy initiating FSL during the selection period. Hospitalizations for ADEs were observed in 1.6% of subjects in the 12 months before FSL initiation, compared to 1.05% after 12 months and 0.96% after 24 months, a -34% and -40% reduction, driven by fewer DKA admissions after 12 months and by fewer SH admissions at 24 months. Conclusions: These results indicate that FSL can reduce hospitalization for ADEs in this vulnerable older population of adults 65 years of age and older with T2DM on intensive insulin therapy, in whom optimal glycemic control must be achieved, while minimizing risk of hypoglycemia and other ADEs.

Review and Assessment of Policy Options for Improving Access to Combination Therapies in Oncology in Europe.

OBJECTIVES: Combinations of on-patent therapies (CTs) are increasingly common in oncology. They cause challenges for funding and affordability, and hence patient access, especially when constituent therapies are owned by different manufacturers. The aim of our study was to develop policy proposals for the assessment, pricing, and funding of CTs and identify which might be relevant in different European countries. METHODS: Following a review of available literature, seven hypothetical policy proposals were developed and subsequently assessed through 19 semi-structured interviews with health policy, pricing, technology assessment and legal experts in seven European countries to identify those most likely to gain traction. RESULTS: Experts saw a need for agreed approaches within a country to manage affordability and funding challenges for CTs. Changes to health technology assessment (HTA) and funding models were considered unlikely, but other policy proposals were seen as mostly useful, with country-specific adaptations. Bilateral discussions between manufacturers and payers were deemed important, and less challenging and protracted than arbitrated dialogue between manufacturers. Usage-specific pricing, possibly using weighted average prices, was considered a prerequisite for the financial management of CTs. CONCLUSIONS: There is a growing need to ensure that CTs are affordable to health systems. It would appear that there is no one set of policies that is appropriate for all countries in Europe, so countries wishing to ensure that patients have (or continue to have) access to CTs of value to them must explore and implement the policies that are best suited to their general approach to funding health care and to the assessment and reimbursement of medicines.

The Real-World Evidence Workstream in EUreccA 2025: How the Task Was Addressed.

This is one of a series of articles that consider the barriers to optimal use of real-world evidence (RWE) in health technology assessment (HTA) as well as ways to overcome them. The work was carried out as part of EUreccA 2025 (European Initiative for New Reimbursement and Access Approaches 2025), in particular with the RWE workstream embodied within that collaboration. The starting premises of this workstream were as follows: (1) the acceptance of RWE by HTA agencies and payers in the assessment of drugs is suboptimal and variable between jurisdictions, and (2) if that were not the case, the path of new pharmaceuticals to patients could be quicker and less expensive. Elsewhere in this issue we set out the conclusions we had reached in the EUreccA RWE workstream. In this article, we set out the methodology used to conduct the totality of the EureccA 2025 RWE workstream effort, which led us to those conclusions. The main results, strengths, and limitations of the individual parts are discussed further in separate articles in this supplement. Through scoping work, we generated 4 key topics within which to identify and address the barriers to optimal RWE use in HTA. Through pragmatic literature searches, stakeholder engagement, and case studies, we suggest ways in which the problems identified may be addressed as a contribution to progress in this area.

Across-Country Variations of Real-World Data and Evidence for Drugs: A 5-European-Country Study.

OBJECTIVES: This study aimed to describe the role of real-world data (RWD) and real-world evidence (RWE) in health technology assessment (HTA) in 5 European countries and to identify the hurdles to the acceptance of RWE and suggest directions toward its more effective use. METHODS: Authors from France, Germany, Italy, and Sweden used a common template to extract evidence. For England, the Cancer Drugs Fund was described and analyzed as a particular model for the use of RWD to provide evidence for coverage decisions and managed entry agreements. RESULTS: In all countries except Germany, HTA bodies acknowledged the relevance of RWD/RWE to address postlaunch uncertainties. In Germany, evidence from randomized controlled trials remains the gold standard, and evidence based on RWD is generally rejected. Multiple sources of RWD exist, but the quality, the immediate relevance of existing sources, and their interoperability limit their adaptation to the specifics of a given drug. This leads to skepticism about the validity of the evidence. Timing is also a key issue: the production of evidence may not be synchronized with the HTA and pricing bodies' agendas. The Cancer Drugs Fund case emphasizes that a strong partnership among all stakeholders and a pragmatic use of existing data, alongside clinical evidence provided by companies, are key success factors. CONCLUSIONS: A continuous investment in national health information systems is a key issue for providing valid RWE. Processes and aids to guide the acceptability and usage of RWE derived from pairing between sources and questions are essential.

Population norms in France with EQ-5D-5L: health states, value indexes, and VAS.

PURPOSE: To provide EuroQoL EQ-5D-5L French population norms based on a sample of 15,000 responders. METHODS: Based on the National Health and Wellness Survey, an international, annual, selfadministered Internet-based survey, this study extracted data from France for 2018 involving a sample of 15,000 respondents stratified by age and gender. Responses to the EQ-5D-5L questionnaire and the Visual Analog Scale (VAS) score, together with sociodemographic, health behavior, and disease status variables were collected. VAS, value indexes, the level sum score, and the distribution of levels per dimension were described. Multivariate regression analyses were performed to identify covariates with a statistically significant effect on the five dimensions and the three scores. RESULTS: The mean [standard deviation (SD)] VAS was 73.4 (22.2) for the entire sample (male 74.8 vs female 72.2, p < 0.0001). The Mean SD value index was 0.905 (0.158) (male 0.915 vs female 0.895, p < 0.0001). The mean SD level sum score was 7.6 (3.0) (7.4 for males vs. 7.9 for females p < 0.0001). Health state 11,111 (no problem in any dimension) represented 25.1% of all responses. "No problem" responses' proportions were Self Care (91.3%), Usual Activities (74.2%), Mobility (72.4%), Anxiety/Depression (52.6%) and Pain/Discomfort (37.7%). Multivariate regressions revealed a significant relationship for health states, value indexes, and VAS with age, income, employment, marital status, smoking and alcohol consumption, obesity, and the presence of one or more health problems. CONCLUSION: Based on a large sample, this study is the first to report EQ-5D-5L population norms for France.

Using Real-World Data in the Health Technology Assessment of Pharmaceuticals: Strengths, Difficulties, and a Pragmatic Way Forward.

In the past decade, there have been increasing calls for greater use of real-world evidence (RWE) and data (RWD), with the explicit goal of enabling faster provision of effective medicines to patients in need. The push for decision makers to accept RWE is especially noticeable in the pursuit of regulatory approval, but RWE, particularly when used to estimate the relative effectiveness of interventions, is not always readily accepted by agencies responsible for reimbursement and pricing of new pharmaceuticals and, to a varying degree, is not accepted across jurisdictions. This lack of trust hampers the use of RWE despite a very large and growing literature base on the principles of how RWE should be used. In this article, we suggest an important part of the explanation of why this situation has arisen and make suggestions for its alleviation. Given that problems commonly arise that are particular to the question being asked and the data sources being used, general guidance on the principles of how to use RWD cannot cover all eventualities. Therefore, we are suggesting the creation of an archive, or repository, to record uses of RWD in support of decisions by funding bodies or their advisors. This article introduces a proposed, structured classification of decision types using RWE, around which evidence can be assembled in a curated source (RWD/RWE taxonomy) and thus facilitate judgments on when evidence is "good enough." This article is part of a series in a special issue of this journal that looks at the barriers to optimal use of RWE in health technology assessment and how to overcome them. We begin significantly to populate our "taxonomy" with examples in an accompanying article. We also propose recommendations for international standards of evaluating the acceptability of RWD governance practices.

Structure and Content of a Taxonomy to Support the Use of Real-World Evidence by Health Technology Assessment Practitioners and Healthcare Decision Makers.

This is one of a series of articles that consider the barriers to optimal use of real-world evidence (RWE) in health technology assessment and how to overcome them. The work was performed as part of EUreccA 2025, in particular with the RWE workstream embodied within that collaboration. Elsewhere in this issue we described the reasoning and process that led us to develop practical tools to support RWE use, including this taxonomy and explained the methods used to do so. The taxonomy classifies questions that are typically addressed using real-world data in health technology assessment and the data sources typically used to address these questions. In this article, we describe the taxonomy itself. For as many of the pairings as possible, we have provided links to advice and methods on how to address the associated question using those data. We have also provided links to examples of RWE use in practical decision making to answer the questions posed. Our work is not complete, but we believe it is sufficient to demonstrate the value of such a taxonomy and information source if it is completed and curated as a "wiki" by the community that would use it.

A review of data systems for assessing the impact of HPV vaccination in selected high-income countries.

INTRODUCTION: The introduction of effective human papillomavirus (HPV) vaccination, screening, and treatment programs has led the World Health Organization to call for the global elimination of cervical cancer. Assessing progress toward this goal is supported through monitoring vaccination coverage and its impact. AREAS COVERED: We performed a targeted review to assess the characteristics of HPV-related data systems from seven high-income countries (HICs) that represented varied approaches, including Australia, Canada, France, Italy, Scotland, Sweden, and the United States (US). Included data systems focused on preventive and early detection measures: HPV vaccination and cervical screening programs, as well as HPV-related disease outcomes. Differences were observed in approach to development of data systems, along with variation in geographical scope and methods of data collection. EXPERT OPINION: A challenge exists in how to best follow-up the ongoing global-scale elimination efforts in a comprehensive manner. These sources provide a wealth of information regarding the strengths and limitations of, and notable variation among, current data systems used in HICs. This review can inform improvements to existing prevention programs and the implementation of new programs in other countries, and thus support optimization of cervical cancer prevention policy.

Real-world data and evidence in health technology assessment: When are they complementary, substitutes, or the only sources of data compared to clinical trials?

Within the life-cycle assessment of health technologies, real-world data (RWD) have until now been of secondary importance to clinical trial data. The availability of massive, better quality RWD, particularly with the emergence of connected devices, the improvement of methods for characterizing populations, make it possible to have a better insight into the effects of treatment, sometimes on a national scale the importance of RWD is likely to progress in the eyes of health technology assessors, going from being traditionally complementary to possibly replacing clinical trial data. This is the fundamental question that the round table, involving experts from the academic and/or hospital, institutional, and industrial worlds, set out to answer. This work served first to establish the current role of RWD in health technology assessment, by distinguishing the main purposes of RWD, the timing of the evaluation in relation to the life cycle of the technology, and then according to the party commissioning or receiving the outcomes of RWD-based studies. Secondly, the round table proposed six general recommendations for more intensive and decisive use of RWD in the assessment and decision-making process.

Important Decrease in Hospitalizations for Acute Diabetes Events Following FreeStyle Libre System Initiation in People with Type 2 Diabetes on Basal Insulin Therapy in France.

Aims/Hypothesis: Initiation of insulin therapy in people with type 2 diabetes (T2DM) may be necessary to achieve glycemic targets but is associated with acute diabetes events (ADEs), including severe hypoglycemia (SH) or diabetic ketoacidosis (DKA). We assessed the impact of initiating FreeStyle Libre® system (FSL) on hospitalizations for ADEs in people with T2DM on basal insulin only regimen±noninsulin antidiabetic drugs. Materials and Methods: A retrospective study of the French national Système National des Données de Santé reimbursement claims database (≈66 million French people) identified people with T2DM on basal insulin therapy receiving a first reimbursement of FSL between August 1, 2017 and December 31, 2018. Claims data for the 12 months before, and up to 24 months after FSL initiation, were analyzed. Hospitalizations for ADEs were identified, using ICD-10 codes as main or related diagnosis, for: SH events; DKA events; comas; and hyperglycemia-related admissions. Results: A total of 5933 people with T2DM on basal insulin therapy initiated FSL during the selection period. Of the patients, 78.9% were on basal insulin and other hypoglycemic agents. Among the 5933 patients identified, 2.01% had at least one hospitalization for any ADE in the year before FSL initiation, compared to 0.75% (1 year) and 0.60% (2 years). Reductions in ADEs were driven by 75% fewer DKA admissions, with a 44% reduction in SH admissions. These patterns of reduced ADEs persisted after 2 years, with a further 43% reduction in DKA rates. Conclusions/Interpretation: This study emphasizes the value of the FSL system in reducing ADEs in people with T2DM in France not on intensive insulin therapy and initially treated with basal-only insulin therapy.

Abiraterone acetate versus docetaxel for metastatic castration-resistant prostate cancer: a cohort study within the French nationwide claims database.

OBJECTIVES: To conduct the direct comparison of abiraterone acetate and docetaxel for first-line treatment of metastatic castration-resistant prostate cancer (mCRPC) in real-life settings. METHODS: Data were extracted from the French nationwide claims database (SNDS) on all men aged ≥40 years starting first-line treatment with abiraterone acetate or docetaxel for mCRPC in 2014. A high-dimensional propensity score including 100 baseline characteristics was used to match patients of both groups and form two comparative cohorts. Three-year overall survival and treatment discontinuation-free survival were determined using Kaplan-Meier analysis. RESULTS: In 2014, 2,444 patients started abiraterone for treatment of mCRPC and 1,214 started docetaxel. After trimming and matching, 716 patients were available in each group. Median overall survival tended to be longer in the abiraterone acetate cohort (23.8 months, 95% confidence interval = [21.5; 26.0]) than in the docetaxel cohort (20.3 [18.4; 21.6] months). Survival at 36 months was 34.6% for abiraterone acetate and 27.9% for docetaxel (p = 0.0027). Treatment discontinuation-free median was longer in the abiraterone acetate cohort compared to the docetaxel cohort (10.8 [10.1; 11.7] versus 7.4 [7.0; 8.0] months). CONCLUSION: The findings underline the interest of oral abiraterone acetate over intravenous docetaxel as the first-line treatment option in mCRPC.