NORMATIVE DATA FOR PERIPHERAL QUANTITATIVE COMPUTED TOMOGRAPHY (pQCT) BONE PARAMETERS IN VIETNAMESE MEN AND WOMEN

Do Hoang Nguyen1,2,, Nguyen Gia Huy2,3, Le Trung Minh1,2, Ho Pham Thuc Lan1,2
1 Pham Ngoc Thach University of Medicine
2 Saigon Precision Medicine Research Center
3 School of Biomedical Engineering, University of Technology Sydney

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Tóm tắt

Background: Peripheral quantitative computed tomography (pQCT) differentiates between cortical and trabecular bone mineral density (BMD), is better at fracture prediction than areal BMD.  Objectives: To develop sex- and age specific- normative reference data for pQCT derived bone parameters for Vietnamese men and women. Materials and methods: The reference range was constructed with 2152 healthy individuals (1319 women and 833 men) from the Vietnam Osteoporosis Study aged 18 years and older. Bone parameters at 4% and 66% positison of the radius and tibia was measured by pQCT (XCT 2000, Stratec Medizintechnik, Pforzheim, Germany). The reference curves for each parameter were constructed using the Generalized Additive Model for Location Scale and Shape modeling technique. The peak ages for these parameters were determined from change point analysis based on change of mean. Results: Women had a slightly higher mean age compared to men (46 vs. 43 years). As expected, men demonstrated a greater BMI than that of women (23.2 vs. 22.5 kg/m²). About 7.0% of women and 9.4% of men were categorized as obese. Overall, pQCT bone parameters were higher in men than in women. The timing of peak bone parameters varied by skeletal sites: at the radius 4% position, peak vBMD occurred earlier for women than for men (24 vs. 30 years old), whereas at the tibia 4% position, both women and men achieved peak value at an earlier age (before 18 vs. 26 years old).  Conclusion: This study provides gender- and age-specific normative reference data for pQCT bone variables in the Vietnamese population, serving as a valuable resource for interpretation, benefiting not only physicians but also the public.

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Tài liệu tham khảo

1. Shevroja E, Cafarelli FP, Guglielmi G, Hans D. DXA parameters, Trabecular Bone Score (TBS) and Bone Mineral Density (BMD), in fracture risk prediction in endocrine-mediated secondary osteoporosis. Endocrine. 2021. 74(1), 20-28, doi:10.1007/s12020-021-02806-x.
2. Anderson KB, Tembo MC, Sui SX, et al. Peripheral quantitative computed tomography (pQCT) measures are associated with prior low trauma fracture in men. Arch Osteoporos. 2021. 16(1), doi:10.1007/s11657-021-00996-5.
3. Jiang H, Robinson DL, Yates CJ, Lee PVS, Wark JD. Peripheral quantitative computed tomography (pQCT)–based finite element analysis provides enhanced diagnostic performance in identifying non-vertebral fracture patients compared with dual-energy X-ray absorptiometry. Osteoporosis International. 2020. 31(1), doi:10.1007/s00198-019-05213-1.
4. Anderson KB, Tembo MC, Sui SX, et al. Normative data for peripheral quantitative computed tomography (pQCT) bone parameters in Australian men. Bone Rep. 2021. 15, doi:10.1016/j.bonr.2021.101107.
5. Ho-Pham LT, Nguyen T V. The Vietnam Osteoporosis Study: Rationale and design.
Osteoporos Sarcopenia. 2017. 3(2), doi:10.1016/j.afos.2017.06.001.
6. Gorai I, Nonaka K, Kishimoto H, Sakata H, Fujii Y, Fujita T. Cut-off values determined for vertebral fracture by peripheral quantitative computed tomography in Japanese women. Osteoporosis International. 2001. 12(9), doi:10.1007/s001980170050.
7. Anderson KB, Tembo MC, Sui SX, et al. Normative data for peripheral quantitative computed tomography (pQCT) bone parameters in Australian men. Bone Rep. 2021. 15. doi:10.1016/j.bonr.2021.101107.
8. Finkelstein JS, Brockwell SE, Mehta V, et al. Bone Mineral Density Changes during the Menopause Transition in a Multiethnic Cohort of Women. J Clin Endocrinol Metab. 2008. 93(3), 861-868. doi:10.1210/jc.2007-1876.
9. Greendale GA, Huang M, Cauley JA, et al. Trabecular Bone Score Declines During the Menopause Transition: The Study of Women’s Health Across the Nation (SWAN). J Clin Endocrinol Metab. 2020. 105(4), e1872-e1882, doi:10.1210/clinem/dgz056.
10. Cardinal M, Chretien A, Roels T, et al. Gender-Related Impact of Sclerostin Antibody on Bone in the Osteogenesis Imperfecta Mouse. Front Genet. 2021. 12, doi:10.3389/fgene.2021.705505.
11. Maeda K, Mochizuki T, Kobayashi K, et al. Cortical thickness of the tibial diaphysis reveals age- and sex-related characteristics between non-obese healthy young and elderly subjects depending on the tibial regions. J Exp Orthop. 2020. 7(1), 78, doi:10.1186/s40634-020-00297-9.
12. Coussens M, Lapauw B, Verroken C, et al. Bone Mass, Density, Geometry, and Stress–Strain
Index in Adults With Osteogenesis Imperfecta Type I and Their Associations With Physical Activity and Muscle Function Parameters. Journal of Bone and Mineral Research. 2022. 37(12), doi:10.1002/jbmr.4722.