儿童关节炎分类的进展与挑战

Angelo Ravelli
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引用次数: 0

摘要

儿童关节炎最合适的分类仍存在争议。多年来,人们曾多次努力设计分类系统,以确定疾病谱中的同质亚组。国际风湿病学协会联盟(ILAR)的分类法虽然被广泛使用,但也存在很大的局限性,因为它未能实现确定同质疾病类别的主要目标。此外,它使用受累关节的数量和银屑病特征的存在来定义单个疾病亚组的做法也受到了批评。儿科风湿病学国际试验组织(PRINTO)通过专家共识提出了一种新的分类系统。目前正在通过大规模数据收集对初步方案进行仔细研究,以便制定出以证据为基础的分类方法,其结果可能会在 2024 年公布。在一项概念验证研究中,通过整合有意义的生物和临床特征,包括促炎症细胞因子水平和疾病活动性指标,确定了能够通过聚类分析识别同质患者亚组的指标或复合变量,从而尝试制定临床生物学分类。目前生物技术的发展,尤其是基因组学、蛋白质组学和转录组学的发展,可能会为将来确定定义明确的患者分组铺平道路,从而为基于生物学和数据驱动的分类系统提供信息。然而,任何定义生物亚型的尝试都应与精确的临床和预后数据相结合,以便设计出合理的分类方法,促进儿童 JIA 患者个性化管理的进展。此外,在制定适用于全球范围的分类方法时,还必须考虑到所观察到的疾病亚型在不同地理区域和种族群体中的流行率差异。
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Advances and Challenges in the Classification of Childhood Arthritis
The most appropriate classification of childhood arthritis remains controversial. Several efforts have been made over the years to devise classification systems that identify homogeneous subgroups within the disease spectrum. Although widely used, the International League of Associations for Rheumatology (ILAR) classification has shown major limitations as it was found to have failed its primary goal of identifying homogeneous disease categories. Furthermore, its use of the count of affected joints and of the presence of psoriatic features to define individual disease subsets has been criticized. A novel classification system has been proposed by the Pediatric Rheumatology International Trials Organization (PRINTO) through expert consensus. The preliminary scheme is currently being scrutinized by means a large-scale data collection aimed to formulate an evidence-based classification, whose results will likely be available in 2024. The development of a clinicobiologic classification has been tried in a proof-of-concept study by integrating meaningful biologic and clinical characteristics, including levels of proinflammatory cytokines and measures of disease activity, that defined indicators or composite variables capable of identifying homogeneous patient subgroups by cluster analysis. The current advance in biotechnology, especially genomics, proteomics and transcriptomics, may pave the way to the future identification of well-defined clusters of patients that will inform a biology-based and data-driven classification system. However, any attempt to defining biologic subtypes should be combined with precise clinical and prognostic data in order to devise a rational classification that facilitates the progress towards personalized management of children with JIA. Furthermore, the observed variability in the prevalence of disease subtypes across geographic areas and ethnic groups must be taken into account to develop a classification that is applicable on a global scale.
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