Department of Orthopedics, Xiangyang No. 1 People's Hospital, Hubei University of Medicine, Xiangyang, Hubei, China (mainland).
Med Sci Monit. 2020 Jan 29;26:e919667. doi: 10.12659/MSM.919667.
BACKGROUND This study explored relationship between Modic change and spinopelvic parameters in the sagittal plane. MATERIAL AND METHODS We divided 80 patients into 4 groups: 60 subjects diagnosed with Modic changes (MC) were enrolled in the MC groups (MC1, MC2, and MC3) with each MC type consisting of 20 subjects, and 60 healthy subjects were enrolled in the control group. Spinopelvic parameters in the sagittal plane were calculated to assess their associations with MC. Multivariate logistic regression was used to explore possible risk factors for MC. RESULTS PI and LL in the MC groups were significant smaller than in the control group (p<0.05). PI, SS, and PT were significantly correlated with LL with a correlation coefficient of 0.75PI, 0.71SS and 0.69PT (p<0.05). Multivariate logistic regression of the significant variables showed that PI (less than 43.2°) is an independent significant risk factor for MC. ROC analysis showed that moderate diagnostic value was obtained for the significant variable, with an area under the curve (AUC) of 0.80 (p>0.05). CONCLUSIONS We concluded that PI is risk factor for MC, and smaller PI is associated with higher incidence of MC.
本研究探讨了矢状位 Modic 改变与脊柱骨盆参数之间的关系。
我们将 80 例患者分为 4 组:60 例诊断为 Modic 改变(MC)的患者被纳入 MC 组(MC1、MC2 和 MC3),每组 20 例,60 例健康受试者被纳入对照组。计算矢状位脊柱骨盆参数,评估其与 MC 的关系。采用多元 logistic 回归分析探讨 MC 的可能危险因素。
MC 组的 PI 和 LL 明显小于对照组(p<0.05)。PI、SS 和 PT 与 LL 显著相关,相关系数分别为 0.75PI、0.71SS 和 0.69PT(p<0.05)。有意义变量的多元 logistic 回归分析显示,PI(小于 43.2°)是 MC 的独立显著危险因素。ROC 分析显示,该显著变量的诊断价值中等,曲线下面积(AUC)为 0.80(p>0.05)。
我们得出结论,PI 是 MC 的危险因素,较小的 PI 与 MC 的发生率较高相关。