Enhancing fracture risk indication: The impact of bone load index and muscle fat infiltration on vertebral compression fracture
Purpose: This study aims to identify risk factors for vertebral compression fracture and enhance the ability to indicate fracture risk. Methods: A retrospective collection of clinical and imaging data was conducted for patients with vertebral compression fractures and control subjects who underwent...
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Elsevier
2025-01-01
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| Series: | Experimental Gerontology |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S0531556524003000 |
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| author | Xiao-Yue Jiang Zhi-Yang Tang Bo-Wen Liu Si-Yuan Lu Dong-Gang Pan Hui Jiang Xiu-Hong Shan |
| author_facet | Xiao-Yue Jiang Zhi-Yang Tang Bo-Wen Liu Si-Yuan Lu Dong-Gang Pan Hui Jiang Xiu-Hong Shan |
| author_sort | Xiao-Yue Jiang |
| collection | DOAJ |
| description | Purpose: This study aims to identify risk factors for vertebral compression fracture and enhance the ability to indicate fracture risk. Methods: A retrospective collection of clinical and imaging data was conducted for patients with vertebral compression fractures and control subjects who underwent quantitative computed tomography scans. Stepwise logistic regression analysis was employed to identify variables associated with fractures, constructing both unadjusted model and adjusted model. Results: Compared with the non-fracture group, the fracture group showed significant differences in weight, body mass index (BMI), bone mineral density (BMD), vertebral cross-sectional area, paraspinal muscle area and right psoas major muscle fat area (all P < 0.05). Adjusted characteristics analyzed by stepwise logistic regression indicated that bone load index (BLI) (OR = 3.19, P = 0.041), paraspinal muscle fat infiltration (PMFI) (OR = 2.27, P = 0.039), and right psoas major muscle fat infiltration (RPMFI) (OR = 1.08, P = 0.005) were independent risk factors for vertebral fractures. Interaction analysis revealed a positive interaction between BLI and PMFI (OR = 1.95, P = 0.008) as well as RPMFI (OR = 1.53, P = 0.045). Compared with the unadjusted model, the diagnostic performance of the adjusted model was significantly improved (training set IDI: 19.5 %, validation set IDI: 18.4 %, P < 0.001). Correlation analysis demonstrated significant associations between BMD (r = −0.353, P = 0.002), BLI (r = 0.631, P < 0.001), PMFI (r = 0.412, P < 0.001), RPMFI (r = 0.513, P < 0.001), and the degree of vertebral compression. Conclusion: Under conditions of bone maladaptive loading and muscle degeneration, vertebral bodies may become more susceptible to external forces, increasing the risk of vertebral compression fracture. |
| format | Article |
| id | doaj-art-1bd87c4fdedf49c194b2364ae7443237 |
| institution | Kabale University |
| issn | 1873-6815 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Experimental Gerontology |
| spelling | doaj-art-1bd87c4fdedf49c194b2364ae74432372025-01-07T04:17:00ZengElsevierExperimental Gerontology1873-68152025-01-01199112654Enhancing fracture risk indication: The impact of bone load index and muscle fat infiltration on vertebral compression fractureXiao-Yue Jiang0Zhi-Yang Tang1Bo-Wen Liu2Si-Yuan Lu3Dong-Gang Pan4Hui Jiang5Xiu-Hong Shan6Department of Radiology, Affiliated People's Hospital of Jiangsu University, Zhenjiang, Jiangsu 212002, ChinaDepartment of Radiology, Affiliated People's Hospital of Jiangsu University, Zhenjiang, Jiangsu 212002, ChinaDepartment of Radiology, Affiliated People's Hospital of Jiangsu University, Zhenjiang, Jiangsu 212002, ChinaDepartment of Radiology, Affiliated People's Hospital of Jiangsu University, Zhenjiang, Jiangsu 212002, ChinaDepartment of Radiology, Affiliated People's Hospital of Jiangsu University, Zhenjiang, Jiangsu 212002, ChinaDepartment of Endocrinology, Affiliated People's Hospital of Jiangsu University, Zhenjiang, Jiangsu 212002, China.Department of Radiology, Affiliated People's Hospital of Jiangsu University, Zhenjiang, Jiangsu 212002, China; Corresponding author.Purpose: This study aims to identify risk factors for vertebral compression fracture and enhance the ability to indicate fracture risk. Methods: A retrospective collection of clinical and imaging data was conducted for patients with vertebral compression fractures and control subjects who underwent quantitative computed tomography scans. Stepwise logistic regression analysis was employed to identify variables associated with fractures, constructing both unadjusted model and adjusted model. Results: Compared with the non-fracture group, the fracture group showed significant differences in weight, body mass index (BMI), bone mineral density (BMD), vertebral cross-sectional area, paraspinal muscle area and right psoas major muscle fat area (all P < 0.05). Adjusted characteristics analyzed by stepwise logistic regression indicated that bone load index (BLI) (OR = 3.19, P = 0.041), paraspinal muscle fat infiltration (PMFI) (OR = 2.27, P = 0.039), and right psoas major muscle fat infiltration (RPMFI) (OR = 1.08, P = 0.005) were independent risk factors for vertebral fractures. Interaction analysis revealed a positive interaction between BLI and PMFI (OR = 1.95, P = 0.008) as well as RPMFI (OR = 1.53, P = 0.045). Compared with the unadjusted model, the diagnostic performance of the adjusted model was significantly improved (training set IDI: 19.5 %, validation set IDI: 18.4 %, P < 0.001). Correlation analysis demonstrated significant associations between BMD (r = −0.353, P = 0.002), BLI (r = 0.631, P < 0.001), PMFI (r = 0.412, P < 0.001), RPMFI (r = 0.513, P < 0.001), and the degree of vertebral compression. Conclusion: Under conditions of bone maladaptive loading and muscle degeneration, vertebral bodies may become more susceptible to external forces, increasing the risk of vertebral compression fracture.http://www.sciencedirect.com/science/article/pii/S0531556524003000Vertebral compression fractureQuantitative computed tomographyBody compositionMuscle degenerationOsteoporosisLow bone mass |
| spellingShingle | Xiao-Yue Jiang Zhi-Yang Tang Bo-Wen Liu Si-Yuan Lu Dong-Gang Pan Hui Jiang Xiu-Hong Shan Enhancing fracture risk indication: The impact of bone load index and muscle fat infiltration on vertebral compression fracture Experimental Gerontology Vertebral compression fracture Quantitative computed tomography Body composition Muscle degeneration Osteoporosis Low bone mass |
| title | Enhancing fracture risk indication: The impact of bone load index and muscle fat infiltration on vertebral compression fracture |
| title_full | Enhancing fracture risk indication: The impact of bone load index and muscle fat infiltration on vertebral compression fracture |
| title_fullStr | Enhancing fracture risk indication: The impact of bone load index and muscle fat infiltration on vertebral compression fracture |
| title_full_unstemmed | Enhancing fracture risk indication: The impact of bone load index and muscle fat infiltration on vertebral compression fracture |
| title_short | Enhancing fracture risk indication: The impact of bone load index and muscle fat infiltration on vertebral compression fracture |
| title_sort | enhancing fracture risk indication the impact of bone load index and muscle fat infiltration on vertebral compression fracture |
| topic | Vertebral compression fracture Quantitative computed tomography Body composition Muscle degeneration Osteoporosis Low bone mass |
| url | http://www.sciencedirect.com/science/article/pii/S0531556524003000 |
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