TreatmentPatterns:An R package to facilitate the standardized development and analysis of treatment patterns across disease domains

Background and objectives: There is an increasing interest to use real-world data to illustrate how patients with specific medical conditions are treated in real life. Insight in the current treatment practices helps to improve and tailor patient care, but is often held back by a lack of data interoperability and a high-level of required resources. We aimed to provide an easy tool that overcomes these barriers to support the standardized development and analysis of treatment patterns for a wide variety of medical conditions. Methods: We formally defined the process of constructing treatment pathways and implemented this in an open-source R package TreatmentPatterns (https://github.com/mi-erasmusmc/TreatmentPatterns) to enable a reproducible and timely analysis of treatment patterns. Results: The developed package supports the analysis of treatment patterns of a study population of interest. We demonstrate the functionality of the package by analyzing the treatment patterns of three common chronic diseases (type II diabetes mellitus, hypertension, and depression) in the Dutch Integrated Primary Care Information (IPCI) database. Conclusion: TreatmentPatterns is a tool to make the analysis of treatment patterns more accessible, more standardized, and more interpretation friendly. We hope it thereby contributes to the accumulation of knowledge on real-world treatment patterns across disease domains. We encourage researchers to further adjust and add custom analysis to the R package based on their research needs.</p

Epidemiology of chronic inflammatory demyelinating polyradiculoneuropathy in The Netherlands

Chronic inflammatory demyelinating polyradiculoneuropathy (CIDP) is a rare but disabling disorder that often requires long‐term immunomodulatory treatment. Background incidence rates and prevalence and risk factors for developing CIDP are still poorly defined. In the current study, we used a longitudinal population‐based cohort study in The Netherlands to assess these rates and demographic factors and comorbidity associated with CIDP. We determined the incidence rate and prevalence of CIDP between 2008 and 2017 and the occurrence of potential risk factors in a retrospective Dutch cohort study using the Integrated Primary Care Information (IPCI) database. Cases were defined as CIDP if the diagnosis of CIDP was described in the electronic medical file. In a source population of 928 030 persons with a contributing follow‐up of 3 525 686 person‐years, we identified 65 patients diagnosed with CIDP. The overall incidence rate was 0.68 per 100 000 person‐years (95% CI 0.45‐0.99). The overall prevalence was 7.00 per 100 000 individuals (95% CI 5.41‐8.93). The overall incidence rate was higher in men compared to woman (IRR 3.00, 95% CI 1.27‐7.11), and higher in elderly of 50 years or older compared with people <50 years of age (IRR 17 95% CI 4‐73). Twenty percent of CIDP cases had DM and 9% a co‐existing other auto‐immune disease. These background rates are important to monitor changes in the frequency of CIDP following infectious disease outbreaks, identify potential risk factors, and to estimate the social and economic burden of CIDP

Drug Utilisation Patterns of Alternatives to Ranitidine-Containing Medicines in Patients Treated with Ranitidine:A Network Analysis of Data from Six European National Databases

Introduction: Ranitidine, a histamine H2-receptor antagonist (H2RA), is indicated in the management of gastric acid-related disorders. In 2020, the European Medicines Agency (EMA) recommended suspension of all ranitidine-containing medicines in the European Union (EU) due to the presence of N-nitrosodimethylamine (NDMA) impurities, which were considered to be carcinogenic. The aim of this study was to investigate the impact of regulatory intervention on use patterns of ranitidine-containing medicines and their therapeutic alternatives. Objectives: The aim was to study drug utilisation patterns of ranitidine and report discernible trends in treatment discontinuation and switching to alternative medications. Methods: This retrospective, population-based cohort study was conducted using primary care records from six European countries between 2017 and 2023. To explore drug utilisation patterns, we calculated (1) incident use of ranitidine, other H2RAs, and other alternative drugs for the treatment of gastric ulcer and/or gastric bleeding; (2) ranitidine discontinuation; and (3) switching from ranitidine to alternative drugs (H2RAs, proton-pump inhibitors [PPIs], and other medicinal products for acid-related disorders). Results: During the study period, 385,273 new ranitidine users were observed, with most users being female and aged 18–74 years. Ranitidine was the most commonly prescribed H2RA in the pre-referral period (September 2017–August 2019), with incidence rates between 0.8 and 9.0/1000 person years (PY). A steep decline to 0.3–3.8/1000 PY was observed in the referral period (September 2019–March 2020), eventually dropping to 0.0–0.4/1000 PY in the post-referral period (April 2020–March 2022). Switching from ranitidine to alternative drugs increased in the post-referral period, with the majority of patients switching to PPIs. Discontinuation of ranitidine use ranged from 270 to 380/1000 users in 2017 and decreased over time. Conclusions:Ranitidine was commonly used prior to referral, but it was subsequently discontinued and replaced primarily with PPIs.</p

A pooled analysis of mortality in patients with COPD receiving triple therapy versus dual bronchodilation

Peer reviewedPostprin

Identification of ROBO2 as a potential locus associated with inhaled corticosteroid response in childhood asthma

Inhaled corticosteroids (ICS) are the most common asthma controller medication. An important contribution of genetic factors in ICS response has been evidenced. Here, we aimed to identify novel genetic markers involved in ICS response in asthma. A ge-nome-wide association study (GWAS) of the change in lung function after 6 weeks of ICS treatment was performed in 166 asthma patients from the SLOVENIA study. Patients with an improvement in lung function ≥8% were considered as ICS responders. Suggestively associated variants (p-value≤5x10-6) were evaluated in an independent study (n=175). Validation of the association with asthma exacerbations despite ICS use was attempted in European (n=2,681) and admixed (n=1,347) populations. Variants previously associated with ICS response were also assessed for replication. As a result, the SNP rs1166980 from the ROBO2 gene was suggestively associated with the change in lung function (OR for G allele: 7.01, 95% CI: 3.29 – 14.93, p=4.61x10-7), although this was not validated in CAMP. ROBO2 showed gene-level evidence of replication with asthma exacerbations despite ICS use in Europeans (minimum p-value=1.44x10-5), but not in admixed individuals. The association of PDE10A-T with ICS response de-scribed by a previous study was validated. This study suggests that ROBO2 could be a potential novel locus for ICS response in Europeans

Development of the International Severe Asthma Registry (ISAR) : A Modified Delphi Study

This study is cofunded by Optimum Patient Care Global and AstraZeneca.Peer reviewedPostprin

Blockchain technology applications to postmarket surveillance of medical devices

Introduction: The amount of mandatory data that needs to be analyzed as part of a medical device postmarket surveillance (PMS) system has grown exponentially in recent times. This is a consequence of increasingly demanding and complex regulatory requirements from Health Authorities, aimed at a better understanding of the medical device safety evaluation. Proactive approaches to PMS processes are becoming more necessary as regulators increase the scrutiny of device safety. New technologies have been explored to address some of the challenges associated with this changing regulatory environment. Areas covered: This paper focuses on the different technical aspects of blockchain and how this new technology has the potential to support the ongoing efforts to improve the PMS system for medical devices. Expert opinion: To address these challenges, we suggest to generate a private PMS data permissioned blockchain with a proof-of-authority consensus mechanism, to which only a restricted number of designated and audited participants have authorization to validate transactions and add them to the PMS data blockchain ledger. Blockchain has the potential to support a more efficient approach, which could offer many advantages to the different stakeholders involved in the PMS process, such as supporting with new regulatory initiatives