Publications by authors named "Hugo Arlegui"

Background: Little is known about phototype and the response to systemic treatment in psoriasis.

Objectives: To assess the characteristics of psoriasis, the therapeutic choice and its efficacy according to phototype.

Methods: We included patients from the PsoBioTeq cohort initiating a first biologic.

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Article Synopsis
  • The study investigates how the availability of new systemic treatments affects drug survival in patients with moderate to severe psoriasis.
  • Researchers analyzed data from 1,866 patients in a French cohort, looking specifically at those starting their first biological or synthetic disease-modifying antirheumatic drugs.
  • Results showed no significant correlation between the year a patient started treatment and the effectiveness or safety of the drug, indicating that drug survival remains stable over time despite more treatment options.
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Article Synopsis
  • - This study explored how body mass index (BMI) influences the choice and effectiveness of first-line biologic therapies in psoriasis patients, particularly comparing obese (BMI ≥30 kg/m2) and non-obese individuals.
  • - Results showed that while BMI did not affect the choice of most biologics prescribed, obese patients experienced significantly shorter drug survival, primarily due to higher rates of treatment inefficacy.
  • - The findings suggest a need for more tailored pharmacological approaches in treating obese psoriasis patients to improve therapy effectiveness and longevity.
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Purpose: Although quantitative benefit-risk models (qBRms) are indisputably valuable tools for gaining comprehensive assessments of health care interventions, they are not systematically used, probably because they lack an integrated framework that provides methodologic structure and harmonization. An alternative that allows all stakeholders to design operational models starting from a standardized framework was recently developed: the discretely integrated condition event (DICE) simulation. The aim of the present work was to assess the feasibility of implementing a qBRm in DICE, using the example of rotavirus vaccination.

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Introduction: Quantitative benefit-risk models (qBRm) applied to vaccines are increasingly used by public health authorities and pharmaceutical companies as an important tool to help decision makers with supporting benefit-risk assessment (BRA). However, many publications on vaccine qBRm provide insufficient details on the methodological approaches used. Incomplete and/or inadequate qBRm reporting may affect result interpretation and confidence in BRA, highlighting a need for the development of standard reporting guidance.

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Introduction: Understanding the balance between the benefits and risks of vaccination is essential to ensure informed and adequate public health decision making. Quantitative benefit-risk models (qBRm) represent useful tools to help decision makers with supporting benefit-risk assessment throughout the lifecycle of a medical product. However, few initiatives have been launched to harmonise qBRm approaches, specifically for vaccines.

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Background: Although rotavirus vaccines have proven to prevent the risk of rotavirus gastroenteritis (RVGE) in children under 5 years old, they are also associated with an increased transient risk of intussusception (IS). Several quantitative benefit-risk models (qBRm) are performed to measure this balance in hospitalizations and deaths prevented versus the ones induced.

Method: In this study, our objective was to provide a complete overview of qBRm used for rotavirus vaccination.

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Introduction: Two vaccines against rotavirus gastroenteritis (RVGE) in young children, Rotarix and RotaTeq, have been available in Europe since 2006. Vaccination against rotaviruses significantly reduces the burden of RVGE, but it is also associated with a very small increased risk of intussusception. In a benefit-risk analysis, the prevented RVGE burden is weighed against the possible excess of intussusception.

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