R Asahi1, Y Nakamura2, M Kanai2, K Watanabe3, S Yuguchi4, T Kamo4, M Azami4, H Ogihara5, S Asano2. 1. School of Health Sciences, Japan University of Health Sciences, 2-555, Hirasuka, Satte City, Saitama, 340-0145, Japan. r-asahi@jhsu.ac.jp. 2. Saitama Spine Center, Higashi Saitama General Hospital, 517-5, Yoshino, Satte City, Saitama, 340-0153, Japan. 3. Department of Rehabilitation, Higashi Saitama General Hospital, 517-5, Yoshino, Satte City, Saitama, 340-0153, Japan. 4. School of Health Sciences, Japan University of Health Sciences, 2-555, Hirasuka, Satte City, Saitama, 340-0145, Japan. 5. Division of Physical Therapy, Department of Rehabilitation, Faculty of Health Sciences, Nagano University of Health and Medicine, 11-1, Imaihara, Kawanakajima-machi, Nagano City, Nagano, 381-2227, Japan.
Abstract
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).
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).
Authors: P N Sambrook; I D Cameron; J S Chen; R G Cumming; S R Lord; L M March; J Schwarz; M J Seibel; J M Simpson Journal: Osteoporos Int Date: 2007-01-10 Impact factor: 4.507