Dell'Isola A, Steultjens M
Institute of Applied Health Research/ School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, Scotland.
PLoS One. 2018 Jan 12;13(1):e0191045. doi: 10.1371/journal.pone.0191045. eCollection 2018.
The existence of phenotypes has been hypothesized to explain the large heterogeneity characterizing the knee osteoarthritis. In a previous systematic review of the literature, six main phenotypes were identified: Minimal Joint Disease (MJD), Malaligned Biomechanical (MB), Chronic Pain (CP), Inflammatory (I), Metabolic Syndrome (MS) and Bone and Cartilage Metabolism (BCM). The purpose of this study was to classify a sample of individuals with knee osteoarthritis (KOA) into pre-defined groups characterized by specific variables that can be linked to different disease mechanisms, and compare these phenotypes for demographic and health outcomes.
599 patients were selected from the OAI database FNIH at 24 months' time to conduct the study. For each phenotype, cut offs of key variables were identified matching the results from previous studies in the field and the data available for the sample. The selection process consisted of 3 steps. At the end of each step, the subjects classified were excluded from the further classification stages. Patients meeting the criteria for more than one phenotype were classified separately into a 'complex KOA' group.
Phenotype allocation (including complex KOA) was successful for 84% of cases with an overlap of 20%. Disease duration was shorter in the MJD while the CP phenotype included a larger number of Women (81%). A significant effect of phenotypes on WOMAC pain (F = 16.736 p <0.001) and WOMAC physical function (F = 14.676, p < 0.001) was identified after controlling for disease duration.
This study signifies the feasibility of a classification of KOA subjects in distinct phenotypes based on subgroup-specific characteristics.
已有研究假设认为,表型的存在可以解释膝关节骨关节炎所具有的高度异质性。在之前一篇对文献的系统综述中,确定了六种主要表型:轻度关节疾病(MJD)、生物力学排列不齐(MB)、慢性疼痛(CP)、炎症型(I)、代谢综合征(MS)以及骨与软骨代谢型(BCM)。本研究的目的是将一组膝关节骨关节炎(KOA)患者样本分类为以特定变量为特征的预定义组,这些变量可能与不同的疾病机制相关,并比较这些表型在人口统计学和健康结局方面的差异。
从骨关节炎倡议(OAI)数据库(美国国立卫生研究院资助)中选取599名患者,随访24个月以开展本研究。对于每种表型,根据该领域之前的研究结果以及样本可得数据,确定关键变量的临界值。选择过程包括3个步骤。在每个步骤结束时,已分类的受试者被排除在进一步的分类阶段之外。符合多种表型标准的患者被单独分类为“复杂KOA”组。
84%的病例成功进行了表型分配(包括复杂KOA),重叠率为20%。MJD表型的疾病持续时间较短,而CP表型中女性比例更高(81%)。在控制疾病持续时间后,发现表型对 WOMAC 疼痛评分(F = 16.736,p < 0.001)和 WOMAC 身体功能评分(F = 14.676,p < 0.001)有显著影响。
本研究表明,根据亚组特异性特征将KOA受试者分类为不同表型是可行的。