Driban Jeffrey B, McAlindon Timothy E, Amin Mamta, Price Lori L, Eaton Charles B, Davis Julie E, Lu Bing, Lo Grace H, Duryea Jeffrey, Barbe Mary F
Division of Rheumatology, Tufts Medical Center, 800 Washington Street, Box 406, Boston, 02111, Massachusetts.
Department of Anatomy and Cell Biology, Temple University School of Medicine, Philadelphia, Pennsylvania.
J Orthop Res. 2018 Mar;36(3):876-880. doi: 10.1002/jor.23675. Epub 2017 Aug 21.
We assessed which combinations of risk factors can classify adults who develop accelerated knee osteoarthritis (KOA) or not and which factors are most important. We conducted a case-control study using data from baseline and the first four annual visits of the Osteoarthritis Initiative. Participants had no radiographic KOA at baseline (Kellgren-Lawrence [KL]<2). We classified three groups (matched on sex): (i) accelerated KOA: >1 knee developed advance-stage KOA (KL = 3 or 4) within 48 months; (ii) typical KOA: >1 knee increased in radiographic scoring (excluding those with accelerated KOA); and (iii) No KOA: no change in KL grade by 48 months. We selected eight predictors: Serum concentrations for C-reactive protein, glycated serum protein (GSP), and glucose; age; sex; body mass index; coronal tibial slope, and femorotibial alignment. We performed a classification and regression tree (CART) analysis to determine rules for classifying individuals as accelerated KOA or not (no KOA and typical KOA). The most important baseline variables for classifying individuals with incident accelerated KOA (in order of importance) were age, glucose concentrations, BMI, and static alignment. Individuals <63.5 years were likely not to develop accelerated KOA, except when overweight. Individuals >63.5 years were more likely to develop accelerated KOA except when their glucose levels were >81.98 mg/dl and they did not have varus malalignment. The unexplained variance of the CART = 69%. These analyses highlight the complex interactions among four risk factors that may classify individuals who will develop accelerated KOA but more research is needed to uncover novel risk factors. © 2017 Orthopaedic Research Society. Published by Wiley Periodicals, Inc. J Orthop Res 36:876-880, 2018.
我们评估了哪些风险因素组合能够区分出会发展为膝关节骨性关节炎(KOA)加速进展型的成年人以及不会发展为此类型的成年人,同时评估了哪些因素最为重要。我们利用骨关节炎倡议组织(Osteoarthritis Initiative)基线及前四次年度随访的数据进行了一项病例对照研究。参与者在基线时无影像学KOA(Kellgren-Lawrence [KL]<2)。我们将参与者分为三组(按性别匹配):(i)KOA加速进展型:在48个月内,超过1个膝关节发展为晚期KOA(KL = 3或4);(ii)典型KOA:超过1个膝关节的影像学评分增加(不包括KOA加速进展型患者);(iii)无KOA:48个月时KL分级无变化。我们选取了8个预测指标:血清C反应蛋白、糖化血清蛋白(GSP)和葡萄糖浓度;年龄;性别;体重指数;冠状胫骨坡度和股胫对线。我们进行了分类回归树(CART)分析,以确定将个体分类为KOA加速进展型或非KOA加速进展型(无KOA和典型KOA)的规则。将新发KOA加速进展型个体分类的最重要基线变量(按重要性排序)为年龄、葡萄糖浓度、体重指数和静态对线。年龄<63.5岁的个体不太可能发展为KOA加速进展型,超重者除外。年龄>63.5岁的个体更有可能发展为KOA加速进展型,除非其血糖水平>81.98mg/dl且无内翻畸形。CART的未解释方差为69%。这些分析突出了四个风险因素之间复杂的相互作用,这些因素可能用于区分会发展为KOA加速进展型的个体,但仍需更多研究来发现新的风险因素。©版权所有2017骨科学研究协会。由威利期刊公司出版。《矫形外科学研究杂志》36:876 - 880,2018年。