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

Author:

Kirk Ben12ORCID,Harrison Stephanie L3,Zanker Jesse12,Burghardt Andrew J4,Orwoll Eric5ORCID,Duque Gustavo1267ORCID,Cawthon Peggy M38ORCID

Affiliation:

1. Department of Medicine, Western Health, Melbourne Medical School The University of Melbourne Melbourne Australia

2. Australian Institute for Musculoskeletal Science (AIMSS) The University of Melbourne and Western Health Melbourne Australia

3. Research Institute California Pacific Medical Center San Francisco CA USA

4. Department of Radiology & Biomedical Imaging University of California San Francisco CA USA

5. Division of Endocrinology, Diabetes and Clinical Nutrition, School of Medicine Oregon Health & Science University Portland OR USA

6. Research Institute of the McGill University Health Centre, Faculty of Medicine Montreal Canada

7. Dr. Joseph Kaufmann Chair in Geriatric Medicine McGill University Montreal Canada

8. Department of Epidemiology and Biostatistics University of California San Francisco CA USA

Abstract

ABSTRACTWe 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), D3‐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. © 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).

Funder

GlaxoSmithKline

National Center for Advancing Translational Sciences

National Institute of Arthritis and Musculoskeletal and Skin Diseases

National Institute on Aging

Publisher

Oxford University Press (OUP)

Subject

Orthopedics and Sports Medicine,Endocrinology, Diabetes and Metabolism

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