Niigata Spine Surgery Center, 2-5-22 Nishi-machi, Niigata City, Japan.
Polyclinique Bordeaux Nord Aquitaine, Université Bordeaux, Bordeaux, France.
Eur Spine J. 2022 Jun;31(6):1421-1430. doi: 10.1007/s00586-022-07134-w. Epub 2022 Feb 18.
The purpose of this study was to investigate the affecting factors on pelvic incidence (PI) and to test the hypothesis that PI changes even after skeletal maturity probably due to hypermobility of the sacroiliac joint using a large international multi-center database.
A prospective and cross-sectional healthy adult volunteers, ages 18-80 years, across 5 countries were used. Radiographic measurements included standard whole body alignment parameters. Bivariate regression analyses between PI versus demographics and spino-pelvic anatomical parameters were performed. An effect of sex on pelvic anatomical parameters was also investigated. Multivariate logistic regression with a forward stepwise procedure was performed to identify the contributing factors to PI, and an appropriate model was obtained.
PI showed a significant positive correlation with age in pooled data. Divided by sex, however, there was no correlation in men, but women showed a significant higher correlation coefficient. Pelvic thickness (PTh) had a significant negative correlation with age in pooled data. Divided by sex, no correlation was found in men, but there was a significant correlation in women with higher correlation coefficient. The stepwise multivariate analysis for the factors on PI identified four significant factors: age, sex, ethnicity, and PTh.
PTh, sex, ethnicity, and age affected PI. There was a positive correlation between PI and age. The tendency was more significant in woman than in man. The results support the hypothesis that PI increases with aging, but the change seems to be small and needs to be verified in a longitudinal evaluation.
本研究旨在探讨骨盆入射角(PI)的影响因素,并通过使用大型国际多中心数据库,检验即使在骨骼成熟后,由于骶髂关节的高活动性,PI 也会发生变化的假设。
本前瞻性和横断面研究纳入了来自 5 个国家的年龄在 18-80 岁的健康成年志愿者。影像学测量包括标准全身体位参数。对 PI 与人口统计学和脊柱骨盆解剖参数之间的关系进行了双变量回归分析。还研究了性别对骨盆解剖参数的影响。采用逐步向前的多元逻辑回归分析确定影响 PI 的因素,并获得合适的模型。
在汇总数据中,PI 与年龄呈显著正相关。按性别划分,男性之间无相关性,但女性的相关系数更高。在汇总数据中,骨盆厚度(PTh)与年龄呈显著负相关。按性别划分,男性之间无相关性,但女性的相关性更高,相关系数更高。PI 相关因素的逐步多元分析确定了四个显著因素:年龄、性别、种族和 PTh。
PTh、性别、种族和年龄影响 PI。PI 与年龄呈正相关。女性的趋势比男性更明显。研究结果支持 PI 随年龄增长而增加的假设,但变化似乎很小,需要在纵向评估中验证。