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探讨 DEFASE 验证的意义:食物过敏管理范式的转变。

Perspectives in the validation of DEFASE: a paradigm shift in food allergy management.

机构信息

Translational Research in Paediatric Specialities Area, Division of Allergy, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy.

出版信息

Curr Opin Allergy Clin Immunol. 2024 Jun 1;24(3):171-176. doi: 10.1097/ACI.0000000000000988. Epub 2024 Apr 25.

Abstract

PURPOSE OF REVIEW

To explore the groundbreaking international consensus on the DEFASE (DEfinition of Food Allergy Severity) project as a revolutionary grading system for IgE-mediated food allergy severity. Against the backdrop of the growing public health challenge posed by food allergy, this article delves into the importance of validating and implementing DEFASE in real-world clinical settings.

RECENT FINDINGS

With new therapeutic options available for food allergy, including biologics alongside immunotherapy, it is urgent to properly support clinical decision-making in the management of the disease. The DEFASE score is the first international consensus-based grading system of severity associated with food allergy as a whole disease embracing multidisciplinary perspectives from different stakeholders involved. In its current version, this comprehensive scoring system has been developed to be used in research settings.

SUMMARY

The review emphasizes the potential impact of DEFASE on patient outcomes, healthcare management, and resource allocation, underscoring its significance for the allergy scientific community. Future research should focus on internal and external validation of the scoring system, targeting these models to various food allergenic sources, populations, and settings.

摘要

目的综述:探讨 DEFASE(食物过敏严重程度定义)项目这一突破性的国际共识,该共识将 IgE 介导的食物过敏严重程度作为一种革命性的分级系统。本文背景是食物过敏这一日益严峻的公共卫生挑战,深入探讨了在真实临床环境中验证和实施 DEFASE 的重要性。

最新发现:随着食物过敏治疗选择的增加,包括生物制剂和免疫疗法,迫切需要正确支持疾病管理中的临床决策。DEFASE 评分是第一个基于国际共识的严重程度分级系统,涵盖了来自不同利益相关者的多学科观点。在其当前版本中,该综合评分系统旨在用于研究环境。

总结:综述强调了 DEFASE 对患者结局、医疗保健管理和资源分配的潜在影响,突出了其对过敏科学界的重要性。未来的研究应侧重于评分系统的内部和外部验证,针对不同的食物过敏原来源、人群和环境对这些模型进行定位。

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