Félicie Costantino, MD, PhD, Maxime Breban, MD, PhD, Maria-Antonietta D'Agostino, MD, PhD: INSERM U1173, Université de Versailles-St. Quentin, and Laboratoire d'Excellence INFLAMEX, St. Quentin en Yvelines, France, and Hôpital Ambroise Paré, AP-HP, Boulogne-Billancourt, France.
INSERM U1168, Université de Versailles-St. Quentin, St. Quentin en Yvelines, France, and Hôpital Ambroise Paré, AP-HP, Boulogne-Billancourt, France.
Arthritis Rheumatol. 2016 Jul;68(7):1660-8. doi: 10.1002/art.39628.
To determine whether disease manifestations at baseline would combine according to distinguishable ordered phenotypes in patients with early inflammatory back pain (IBP) suggestive of spondyloarthritis (SpA).
Baseline clinical and demographic characteristics as well as imaging features and biologic data on patients included in the French multicenter Devenir des Spondyloarthropathies Indifferérenciées Récentes cohort were analyzed by multiple correspondence analysis and cluster analysis to identify subgroups of patients based on shared characteristics.
Cluster analysis allowed us to classify the 679 patients with no missing data into 2 major groups-one with a predominance of isolated axial manifestations and the other with associated peripheral symptoms. The application of the same analysis to selected subsets of the cohort, such as HLA-B27-positive and -negative patients and patients fulfilling the Assessment of SpondyloArthritis international Society classification criteria for axial SpA, resulted again in an optimal division of the samples into 2 recurrent clusters of patients similar to those observed in the whole cohort.
Cluster analysis of SpA manifestations among patients with early IBP highly suggestive of SpA allowed us to clearly identify at baseline 2 different clinical phenotypes-one with predominant axial manifestations and the other with predominant peripheral manifestations. Ongoing follow-up will allow us to determine whether these clusters correspond to different patterns of disease severity.
确定在提示脊柱关节炎(SpA)的早期炎症性背痛(IBP)患者中,基线时的疾病表现是否会根据可区分的有序表型组合。
对包括在法国多中心 Devenir des Spondyloarthropathies Indifférenciées Récentes 队列中的患者的基线临床和人口统计学特征以及影像学特征和生物数据进行多对应分析和聚类分析,根据共同特征对患者进行分组。
聚类分析将 679 名无缺失数据的患者分为 2 个主要组-一个以孤立的轴向表现为主,另一个以伴发的外周症状为主。对队列的选定亚组(如 HLA-B27 阳性和阴性患者以及符合脊柱关节炎国际评估协会分类标准的轴向 SpA 患者)应用相同的分析,再次将样本最佳地分为 2 个相似的患者复发性聚类,与整个队列中观察到的相似。
对高度提示 SpA 的早期 IBP 患者的 SpA 表现进行聚类分析,使我们能够在基线时清楚地识别出 2 种不同的临床表型-一种以主要的轴向表现为主,另一种以主要的外周表现为主。正在进行的随访将使我们能够确定这些聚类是否对应于不同的疾病严重程度模式。