Department of Rheumatology, Trakya University Medical School, 22030, Edirne, Turkey.
Arthritis Res Ther. 2022 Oct 29;24(1):242. doi: 10.1186/s13075-022-02937-0.
Clustering is an important clinical feature of Behçet's syndrome (BS) and may have pathogenetic and therapeutic implications. Recent and previous studies on BS phenotype differ substantially in terms of methodology. Correlation matrices and factor analyses were not efficient enough to uncover clusters. Clustering patterns may change according to demographic factors such as age and sex. Clustering patterns may also be profoundly influenced by the misperception of symptoms that are assumed to be secondary to BS, when, in fact, they represent manifestations of BD mimics. This can give rise to misleading conclusions and should be kept in mind when interpreting data obtained by clustering or other phenotype analyses of BS. A true geographical/racial variability in disease expression could be studied in a multinational consensus cohort. Pathogenetic studies in separate clusters of BS have still been lacking.
聚类是 Behçet 综合征(BS)的一个重要临床特征,可能具有发病机制和治疗意义。最近和以前关于 BS 表型的研究在方法学上有很大的不同。相关矩阵和因子分析不足以发现聚类。聚类模式可能会根据年龄和性别等人口统计学因素而发生变化。聚类模式也可能受到对被认为是 BS 继发症状的错误认识的深刻影响,而实际上,这些症状代表了 BD 模拟物的表现。这可能会得出误导性的结论,在解释通过聚类或 BS 的其他表型分析获得的数据时应牢记这一点。在一个多民族共识队列中可以研究疾病表现的真正地理/种族变异性。BS 中单独聚类的发病机制研究仍然缺乏。