Interactions Between HR-pQCT Bone Density and D3Cr Muscle Mass (or HR-pQCT Bone Structure and HR-pQCT Muscle Density) in Predicting Fractures: The Osteoporotic Fractures in Men Study

被引:5
|
作者
Kirk, Ben [1 ,2 ,3 ,10 ,11 ]
Harrison, Stephanie L. [4 ]
Zanker, Jesse [1 ,2 ,3 ]
Burghardt, Andrew J. [5 ]
Orwoll, Eric [6 ]
Duque, Gustavo [1 ,2 ,3 ,7 ,8 ]
Cawthon, Peggy M. [4 ,9 ]
机构
[1] Univ Melbourne, Melbourne Med Sch, Western Hlth, Dept Med, Melbourne, Australia
[2] Univ Melbourne, Australian Inst Musculoskeletal Sci AIMSS, Melbourne, Australia
[3] Western Hlth, Melbourne, Australia
[4] Calif Pacific Med Ctr, Res Inst, San Francisco, CA USA
[5] Univ Calif San Francisco, Dept Radiol & Biomed Imaging, San Francisco, CA USA
[6] Oregon Hlth & Sci Univ, Sch Med, Div Endocrinol Diabet & Clin Nutr, Portland, OR USA
[7] McGill Univ, Hlth Ctr, Fac Med, Res Inst, Montreal, PQ, Canada
[8] McGill Univ, Dr Joseph Kaufmann Chair Geriatr Med, Montreal, PQ, Canada
[9] Univ Calif San Francisco, Dept Epidemiol & Biostat, San Francisco, CA USA
[10] Univ Melbourne, Australian Inst Musculoskeletal Sci AIMSS, 176 Furlong Rd, St Albans, Vic 3021, Australia
[11] Western Hlth, 176 Furlong Rd, St Albans, Vic 3021, Australia
基金
美国国家卫生研究院;
关键词
BONE-MUSCLE INTERACTIONS; SARCOPENIA; OSTEOPOROSIS; FRACTURE RISK ASSESSMENT; GUIDE;
D O I
10.1002/jbmr.4874
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
We examined if an interaction exists between bone and muscle in predicting fractures in older men. Prospective data from the Osteoporotic Fractures in Men study was used to build Cox proportional hazards models. Predictors included HR-pQCT total volumetric BMD (Tt.BMD), trabecular BMD (Tb.BMD), cortical BMD (Ct.BMD) and cortical area (Ct.Ar) at distal radius/tibia, HR-pQCT muscle volume and density (diaphyseal tibia), D-3-creatine dilution (D3Cr) muscle mass, and grip strength and leg force, analyzed as continuous variables and as quartiles. Incident fractures were self-reported every 4 months via questionnaires and centrally adjudicated by physician review of radiology reports. Potential confounders (demographics, comorbidities, lifestyle factors, etc.) were considered. A total of 1353 men (mean age 84.2 +/- 4.0 years, 92.7% white) were followed for 6.03 +/- 2.11 years. In the unadjusted (continuous) model, there were no interactions (p > 0.05) between any muscle variable (D3Cr muscle mass, muscle volume, muscle density, grip strength or leg force) and Tt.BMD at distal radius/tibia for fractures (all: n = 182-302; nonvertebral: n = 149-254; vertebral: n = 27-45). No consistent interactions were observed when interchanging Tt.BMD for Tb.BMD/Ct.BMD or for Ct.Ar (bone structure) at the distal radius/tibia in the unadjusted (continuous) models. Compared with men in quartiles (Q) 2-4 of D3Cr muscle mass and Q2-4 of distal tibia Tt.BMD, men in Q1 of both had increased risk for all fractures (hazard ratio (HR) = 2.00; 95% confidence interval [CI] 1.24-3.23, p = 0.005) and nonvertebral fractures (HR = 2.10; 95% CI 1.25-3.52, p < 0.001) in the multivariable-adjusted model. Confidence intervals overlapped (p > 0.05) when visually inspecting other quartile groups in the multivariable-adjusted model. In this prospective cohort study of older men, there was no consistent interactions between bone and muscle variables on fracture risk. Larger sample sizes and longer follow-up may be needed to clarify if there is an interaction between bone and muscle on fracture risk in men. (c) 2023 The Authors. Journal of Bone and Mineral Research published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research (ASBMR).
引用
收藏
页码:1245 / 1257
页数:13
相关论文
共 50 条
  • [1] Longitudinal interactions between HR-pQCT bone density and D3CR muscle mass (or HR-pQCT bone density and muscle volume) in predicting fractures: The Osteoporotic Fractures in Men study
    Kirk, Ben
    Harrison, Stephanie L.
    Zanker, Jesse
    Duque, Gustavo
    Cawthon, Peggy M.
    JOURNAL OF BONE AND MINERAL RESEARCH, 2023, 38 : 119 - 120
  • [2] Comparison of Cortical Bone Measurements Between pQCT and HR-pQCT
    Lala, Deena
    Cheung, Angela M.
    Gordon, Chris
    Giangregorio, Lora
    JOURNAL OF CLINICAL DENSITOMETRY, 2012, 15 (03) : 275 - 281
  • [3] FAMILIAL ASSOCIATIONS IN BONE AS MEASURED BY PQCT, HR-PQCT AND DXA
    Parsons, C. M.
    Fuggle, N.
    Breasail, M. O.
    Clynes, M.
    Bevilacqua, G.
    Carter, S.
    Dennison, E. M.
    Cooper, C.
    Ward, K. A.
    OSTEOPOROSIS INTERNATIONAL, 2021, 32 (SUPPL 1) : S238 - S238
  • [4] Clinical Imaging of Bone Microarchitecture with HR-pQCT
    Kyle K. Nishiyama
    Elizabeth Shane
    Current Osteoporosis Reports, 2013, 11 : 147 - 155
  • [5] Clinical Imaging of Bone Microarchitecture with HR-pQCT
    Nishiyama, Kyle K.
    Shane, Elizabeth
    CURRENT OSTEOPOROSIS REPORTS, 2013, 11 (02): : 147 - 155
  • [6] Bone imaging modality precision and agreement between DXA, pQCT, and HR-pQCT
    Mesinovic, Jakub
    Breasail, Micheal o
    Burt, Lauren A.
    Shore-Lorenti, Cat
    Zebaze, Roger
    Lim, Camelia Q. E.
    Ling, Zihui
    Ebeling, Peter R.
    Scott, David
    Zengin, Ayse
    JBMR PLUS, 2025, 9 (02)
  • [7] Associations of Muscle Strength and Functional Power to Longitudinal Change in HR-pQCT Bone Parameters: the Osteoporotic Fractures in Men (MrOS) Study
    Heilmann, Nina
    Freeland, Kerri
    Yu, Tong
    Caserotti, Paolo
    Burghardt, Andrew
    Winger, Mary
    Lane, Nancy
    Cauley, Jane A.
    Strotmeyer, Elsa
    JOURNAL OF BONE AND MINERAL RESEARCH, 2023, 38 : 61 - 61
  • [8] SEGMENTATION OF MUSCLE AND SKELETAL TISSUES IN HR-PQCT IMAGES
    Snoussi, Haykel
    Janvier, Thomas
    Jennane, Rachid
    Toumi, Hechmi
    Lespessailles, Eric
    2017 2ND INTERNATIONAL CONFERENCE ON BIO-ENGINEERING FOR SMART TECHNOLOGIES (BIOSMART), 2017,
  • [9] Bone Microarchitecture in Hemodialysis Patients Assessed by HR-pQCT
    Cejka, Daniel
    Patsch, Janina M.
    Weber, Michael
    Diarra, Danielle
    Riegersperger, Markus
    Kikic, Zeljko
    Krestan, Christian
    Schueller-Weidekamm, Claudia
    Kainberger, Franz
    Haas, Martin
    CLINICAL JOURNAL OF THE AMERICAN SOCIETY OF NEPHROLOGY, 2011, 6 (09): : 2264 - 2271
  • [10] Bone microarchitecture of the distal fibula assessed by HR-pQCT
    Stuerznickel, Julian
    Schmidt, Felix N.
    Schaefer, Hannah S.
    Beil, Frank Timo
    Frosch, Karl-Heinz
    Schlickewei, Carsten
    Amling, Michael
    Barg, Alexej
    Rolvien, Tim
    BONE, 2021, 151