Rheumatology Unit, Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila.
Rheumatology Section, Department of Precision Medicine, University of Campania 'Luigi Vanvitelli'.
Rheumatology (Oxford). 2021 Oct 2;60(10):4844-4849. doi: 10.1093/rheumatology/keaa904.
To stratify adult-onset Still's disease (AOSD) patients in distinct clinical subsets to be differently managed, by using a multi-dimensional characterization.
AOSD patients were evaluated by using a hierarchical unsupervised cluster analysis comprising age, laboratory markers systemic score and outcomes. The squared Euclidean distances between each pair of patients were calculated and put into a distance matrix, which served as the input clustering algorithm. Derived clusters were descriptively analysed for any possible difference.
Four AOSD patients clusters were identified. Disease onset in cluster 1 was characterized by fever (100%), skin rash (92%) and arthritis (83%), with the highest ferritin levels [mean (S.D.) 14 724 (6837) ng/ml]. In cluster 2, the onset was characterized by fever (100%), arthritis (100%) and liver involvement (90%), together with the highest CRP levels [288.10 (46.01) mg/l]. The patients in cluster 3 presented with fever (100%), myalgia (96%) and sore throat (92%). The highest systemic score values [8.88 (1.70)] and the highest mortality rate (54.2%) defined cluster 3. Fever (100%) and arthritis (90%) were the symptoms at the onset in cluster 4, which was characterized by the lowest ferritin and CRP levels [1457 (1298) ng/ml and 54.98 (48.67) mg/l, respectively].
Four distinct phenotypic subgroups in AOSD could be suggested, possibly associated with different genetic background and pathogenic mechanisms. Our results could provide the basis for a precision medicine approach in AOSD in an attempt to find a clinical and laboratory multidimensional stratification and characterization, which would drive a tailored therapeutic approach in these patients.
通过多维特征,将成人斯蒂尔病(AOSD)患者分层为不同的临床亚型,以便进行不同的管理。
采用层次无监督聚类分析对 AOSD 患者进行评估,该分析包括年龄、实验室标志物系统评分和结局。计算每对患者之间的平方欧式距离,并将其放入距离矩阵中,作为输入聚类算法。对衍生的聚类进行描述性分析,以寻找任何可能的差异。
确定了 4 个 AOSD 患者聚类。聚类 1 的疾病发作特征为发热(100%)、皮疹(92%)和关节炎(83%),铁蛋白水平最高[平均值(标准差)为 14724(6837)ng/ml]。聚类 2 的发病特征为发热(100%)、关节炎(100%)和肝脏受累(90%),同时 C 反应蛋白(CRP)水平最高[288.10(46.01)mg/l]。聚类 3 的患者表现为发热(100%)、肌痛(96%)和咽痛(92%)。该聚类的系统评分最高[8.88(1.70)],死亡率最高(54.2%)。聚类 4 的发病特征为发热(100%)和关节炎(90%),铁蛋白和 CRP 水平最低[分别为 1457(1298)ng/ml 和 54.98(48.67)mg/l]。
AOSD 中可能存在 4 种不同的表型亚组,可能与不同的遗传背景和发病机制有关。我们的研究结果为 AOSD 提供了精准医学方法的基础,旨在寻找临床和实验室的多维分层和特征,以指导这些患者的个体化治疗。