Impaired Metacognitive Differentiation, High Difficulty in Controlling Impulses and Non-acceptance of Emotions are Associated With the Severity of Gambling Disorder.

The role of metacognition in gambling disorder (GD) is underexplored. To date, only two studies have investigated the role of metacognitive functioning, but among the adolescent population. The first aim of the current research was to assess and compare adult male gamblers with healthy controls (HCs) in relation to metacognition, impulsivity and emotional dysregulation. The second aim was to identify the variables among metacognition, impulsivity and emotional dysregulation associated with the severity of GD by means of linear regression.A total of 116 adult males (58 with GD and 58 HCs) completed self-report questionnaires on gambling severity, metacognition, emotional dysregulation and impulsivity. A linear regression analysis was run to assess the variables associated with gambling severity.Patients with GD exhibited more impaired scores than HCs in all the psychopathological dimensions investigated. More interestingly, gambling severity was significantly associated with metacognitive differentiation/decentration, difficulty in controlling impulses and non-acceptance of negative emotions.According to our results, the severity of gambling is associated with impaired metacognitive differentiation, high difficulty in controlling impulses and non-acceptance of negative emotions, and these findings can lead to new treatment implications. Interventions focused on metacognition and emotion regulation could help patients with GD to avoid maladaptive strategies such as behavioural addictions and, more specifically, to manage their own emotions. This type of treatment could help gamblers to become more aware of their internal state and learn strategies for adaptively managing emotions through functional metacognitive differentiation.

Large-Scale Postmarketing Surveillance of Biological Drugs for Immune-Mediated Inflammatory Diseases Through an Italian Distributed Multi-Database Healthcare Network: The VALORE Project.

BACKGROUND: Biological drugs have improved the management of immune-mediated inflammatory diseases (IMIDs) despite being associated with important safety issues such as immunogenicity, infections, and malignancies in real-world settings. OBJECTIVE: The aim of this study was to explore the potential of a large Italian multi-database distributed network for use in the postmarketing surveillance of biological drugs, including biosimilars, in patients with IMID. METHODS: A retrospective cohort study was conducted using 13 Italian regional claims databases during 2010-2019. A tailor-made R-based tool developed for distributed analysis of claims data using a study-specific common data model was customized for this study. We measured the yearly prevalence of biological drug users and the frequency of switches between originator and biosimilars for infliximab, etanercept, and adalimumab separately and stratified them by calendar year and region. We then calculated the cumulative number of users and person-years (PYs) of exposure to individual biological drugs approved for IMIDs. For a number of safety outcomes (e.g., severe acute respiratory syndrome coronavirus 2 [SARS-COV-2] infection), we conducted a sample power calculation to estimate the PYs of exposure required to investigate their association with individual biological drugs approved for IMIDs, considering different strengths of association. RESULTS: From a total underlying population of almost 50 million inhabitants from 13 Italian regions, we identified 143,602 (0.3%) biological drug users, with a cumulative exposure of 507,745 PYs during the entire follow-up. The mean age ± standard deviation of biological drug users was 49.3 ± 16.3, with a female-to-male ratio of 1.2. The age-adjusted yearly prevalence of biological drug users increased threefold from 0.7 per 1000 in 2010 to 2.1 per 1000 in 2019. Overall, we identified 40,996 users of biosimilars of tumor necrosis factor (TNF)-α inhibitors (i.e., etanercept, adalimumab, and infliximab) in the years 2015-2019. Of these, 46% (N = 18,845) switched at any time between originator and biosimilars or vice versa. To investigate a moderate association (incidence rate ratio 2) between biological drugs approved for IMIDs and safety events of interest, such as optic neuritis (lowest background incidence rate 10.4/100,000 PYs) or severe infection (highest background incidence rate 4312/100,000 PYs), a total of 43,311 PYs and 104 PYs of exposure to individual biological drugs, respectively, would be required. As such, using this network, of 15 individual biological drugs approved for IMIDs, the association with those adverse events could be investigated for four (27%) and 14 (93%), respectively. CONCLUSION: The VALORE project multi-database network has access to data on more than 140,000 biological drug users (and > 0.5 million PYs) from 13 Italian regions during the years 2010-2019, which will be further expanded with the inclusion of data from other regions and more recent calendar years. Overall, the cumulated amount of person-time of exposure to biological drugs approved for IMIDs provides enough statistical power to investigate weak/moderate associations of almost all individual compounds and the most relevant safety outcomes. Moreover, this network may offer the opportunity to investigate the interchangeability of originator and biosimilars of several TNFα inhibitors in different therapeutic areas in real-world settings.