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门诊骨质疏松症女性患者矢状位排列与骨质疏松相关骨折的关联

Association with sagittal alignment and osteoporosis-related fractures in outpatient women with osteoporosis.

作者信息

Asahi R, Nakamura Y, Kanai M, Watanabe K, Yuguchi S, Kamo T, Azami M, Ogihara H, Asano S

机构信息

School of Health Sciences, Japan University of Health Sciences, 2-555, Hirasuka, Satte City, Saitama, 340-0145, Japan.

Saitama Spine Center, Higashi Saitama General Hospital, 517-5, Yoshino, Satte City, Saitama, 340-0153, Japan.

出版信息

Osteoporos Int. 2022 Jun;33(6):1275-1284. doi: 10.1007/s00198-021-06282-x. Epub 2022 Jan 29.

Abstract

UNLABELLED

The baseline sagittal vertical axis (SVA) and pelvic tilt (PT) are independent risk factors of osteoporosis-related fractures in women with osteoporosis. We clarified the SVA and PT to predict the incidence of osteoporosis-related fractures.

PURPOSE

Sagittal alignment with osteoporosis women deteriorates with advancing age and sagittal alignment may indicate osteoporosis-related fractures in the future. However, whether the sagittal alignment predicts future osteoporosis-related fracture in patients with osteoporosis has not been clarified. We aimed to investigate the association between sagittal alignment and future osteoporosis-related fractures.

METHODS

This was a retrospective cohort study. Of the 313 participants (mean follow-up period, 2.9 years), 236 were included in the analysis. At baseline, we measured bone mineral density (BMD) of the lumbar spine and the femoral neck, sagittal vertical axis (SVA), thoracic kyphosis, pelvic incidence minus lumbar lordosis, sacral slope, pelvic tilt (PT), geriatric locomotive function scale (GLFS), two-step value, and stand-up test. The information on medications and the duration of treatment were reviewed from the medical records. Additionally, participants reported their history of falls at baseline. Multiple logistic regression analysis was used to determine the association of future osteoporosis-related fracture, and adjusted Odds ratios (OR) and 95% confidence interval (CI) were calculated with all predictors as covariates. All continuous variables were calculated using standardized OR (sOR).

RESULTS

Osteoporosis-related fractures occurred in 33 of 313 participants (10.5%). Multiple logistic regression analysis showed that a history of falls (OR =4.092, 95% CI: 1.029-16.265, p =0.045), SVA (sOR =4.228, 95% CI: 2.118-8.439, p <0.001), and PT (sOR =2.497, 95% CI: 1.087-5.733, p =0.031) were independent risk factors for future osteoporosis-related fractures.

CONCLUSIONS

This study revealed the SVA and PT to predict osteoporosis-related fractures.

TRIAL REGISTRATION NUMBER AND DATE OF REGISTRATION

UMIN000036516 (April 1, 2019).

摘要

未标注

基线矢状垂直轴(SVA)和骨盆倾斜度(PT)是骨质疏松症女性发生骨质疏松相关骨折的独立危险因素。我们阐明了SVA和PT以预测骨质疏松相关骨折的发生率。

目的

骨质疏松症女性的矢状位排列会随着年龄增长而恶化,矢状位排列可能预示未来会发生骨质疏松相关骨折。然而,矢状位排列是否能预测骨质疏松症患者未来发生骨质疏松相关骨折尚未明确。我们旨在研究矢状位排列与未来骨质疏松相关骨折之间的关联。

方法

这是一项回顾性队列研究。在313名参与者(平均随访期2.9年)中,236名被纳入分析。在基线时,我们测量了腰椎和股骨颈的骨密度(BMD)、矢状垂直轴(SVA)、胸椎后凸、骨盆入射角减去腰椎前凸、骶骨倾斜度、骨盆倾斜度(PT)、老年运动功能量表(GLFS)、两步值和起立试验。从病历中查阅了用药信息和治疗持续时间。此外,参与者在基线时报告了他们的跌倒史。采用多元逻辑回归分析来确定未来骨质疏松相关骨折的关联,并将所有预测因素作为协变量计算调整后的比值比(OR)和95%置信区间(CI)。所有连续变量均使用标准化OR(sOR)进行计算。

结果

313名参与者中有33名(10.5%)发生了骨质疏松相关骨折。多元逻辑回归分析显示,跌倒史(OR = 4.092,95% CI:1.029 - 16.265,p = 0.045)、SVA(sOR = 4.228,95% CI:2.118 - 8.439,p < 0.001)和PT(sOR = 2.497,95% CI:1.087 - 5.733,p = 0.031)是未来骨质疏松相关骨折的独立危险因素。

结论

本研究揭示了SVA和PT可预测骨质疏松相关骨折。

试验注册号和注册日期

UMIN000036516(2019年4月1日)。

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