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Yu L, Huang T, Ma R. Comment on "Integrating traditional Chinese Medicine reduced the risk of hip fracture in patients with dementia". J Formos Med Assoc 2025:S0929-6646(25)00203-7. [PMID: 40300931 DOI: 10.1016/j.jfma.2025.04.032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2025] [Accepted: 04/24/2025] [Indexed: 05/01/2025] Open
Affiliation(s)
- Liyue Yu
- The Third Clinical Medical College of Zhejiang Chinese Medical University, Zhejiang, China
| | - Tianqi Huang
- The Third Clinical Medical College of Zhejiang Chinese Medical University, Zhejiang, China
| | - Ruijie Ma
- Department of Acupuncture, The Third Affiliated Hospital of Zhejiang Chinese Medical University, Zhejiang, China.
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Giangregorio LM, Alexiuk MR, Tangri N, Bohm C, Leslie WD. Among people on osteoporosis medication, loss of appendicular or total body lean mass is an independent risk factor for hip and major osteoporotic fractures. Osteoporos Int 2024; 35:2025-2035. [PMID: 39320415 DOI: 10.1007/s00198-024-07240-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2024] [Accepted: 08/21/2024] [Indexed: 09/26/2024]
Abstract
People with prior lean mass loss had a ~ 10% higher risk of MOF and ~ 22-26% higher risk of hip fracture, and the results were similar in people on anti-osteoporosis medications. Loss of lean mass is associated with increased fracture risk. Patients should be encouraged to pursue strategies to prevent loss of lean mass. BACKGROUND Sarcopenia increases fracture risk. If the risk persists after starting osteoporosis medication, patients may need to be encouraged to pursue strategies to prevent loss of lean mass. OBJECTIVE To estimate the effects of loss in appendicular lean mass (ALM) or total body lean mass (TBLM) on subsequent fracture risk and effect modification with anti-osteoporosis medication use. METHODS We conducted a registry-based cohort study linked to population-based data. We identified individuals ≥ 40 years of age with two DXA assessments ≥ 1 year apart and minimum 0.5 years of observation. ALM and TBLM were estimated from weight, sex, and percent fat from DXA (R2 = 0.91 and 0.84 vs total body DXA, respectively). We report hazard ratios (HR) from Cox regression models estimating time to first incident major osteoporotic fracture (MOF) and hip fracture, adjusted for fracture risk; osteoporosis medication was included as an interaction term and used to stratify analyses. RESULTS We included 21,249 individuals (mean 67 [SD 10] years, 95% female, 37% on osteoporosis medication). The mean follow-up was 7 years (SD 4). A total of 1868 and 548 people had incident MOF and hip fracture, respectively. People with prior ALM loss (HR per SD 1.09, 95% CI 1.04-1.15) or TBLM loss (HR per SD 1.09, 95% CI 1.42-1.14) had a higher risk of MOF. Hip fracture risk was greater in people with prior ALM loss (HR per SD 1.22, 95% CI 1.12-1.33) and TBLM loss (HR per SD 1.26, 95% CI 1.16-1.38). There were no interactions with anti-osteoporosis medication use (all p > 0.3). When restricted to people on anti-osteoporosis medication, each SD in ALM or TBLM loss was associated with 8-9% increased MOF risk and 18-23% increased hip fracture risk. CONCLUSIONS Loss of lean mass is associated with increased fracture risk among individuals on anti-osteoporosis medication. Patients should be encouraged to pursue strategies to prevent sarcopenia.
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Affiliation(s)
- Lora M Giangregorio
- University of Waterloo and Schlegel-UW Research Institute for Aging, Waterloo, Canada.
| | - Mackenzie Ryann Alexiuk
- Chronic Disease Innovation Centre, Winnipeg, MB, Canada
- University of Manitoba, Winnipeg, MB, Canada
| | - Navdeep Tangri
- Chronic Disease Innovation Centre, Winnipeg, MB, Canada
- University of Manitoba, Winnipeg, MB, Canada
| | - Clara Bohm
- Chronic Disease Innovation Centre, Winnipeg, MB, Canada
- University of Manitoba, Winnipeg, MB, Canada
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Vendrami C, Shevroja E, Gonzalez Rodriguez E, Gatineau G, Elmers J, Reginster J, Harvey NC, Lamy O, Hans D. Muscle parameters in fragility fracture risk prediction in older adults: A scoping review. J Cachexia Sarcopenia Muscle 2024; 15:477-500. [PMID: 38284511 PMCID: PMC10995267 DOI: 10.1002/jcsm.13418] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 11/01/2023] [Accepted: 11/28/2023] [Indexed: 01/30/2024] Open
Abstract
Half of osteoporotic fractures occur in patients with normal/osteopenic bone density or at intermediate or low estimated risk. Muscle measures have been shown to contribute to fracture risk independently of bone mineral density. The objectives were to review the measurements of muscle health (muscle mass/quantity/quality, strength and function) and their association with incident fragility fractures and to summarize their use in clinical practice. This scoping review follows the PRISMA-ScR guidelines for reporting. Our search strategy covered the three overreaching concepts of 'fragility fractures', 'muscle health assessment' and 'risk'. We retrieved 14 745 references from Medline Ovid SP, EMBASE, Web of Science Core Collection and Google Scholar. We included original and prospective studies on community-dwelling adults aged over 50 years that analysed an association between at least one muscle parameter and incident fragility fractures. We systematically extracted 17 items from each study, including methodology, general characteristics and results. Data were summarized in tables and graphically presented in adjusted forest plots. Sixty-seven articles fulfilled the inclusion criteria. In total, we studied 60 muscle parameters or indexes and 322 fracture risk ratios over 2.8 million person-years (MPY). The median (interquartile range) sample size was 1642 (921-5756), age 69.2 (63.5-73.6) years, follow-up 10.0 (4.4-12.0) years and number of incident fragility fractures 166 (88-277). A lower muscle mass was positively/not/negatively associated with incident fragility fracture in 28 (2.0), 64 (2.5) and 10 (0.2 MPY) analyses. A lower muscle strength was positively/not/negatively associated with fractures in 53 (1.3), 57 (1.7 MPY) and 0 analyses. A lower muscle function was positively/not/negatively associated in 63 (1.9), 45 (1.0 MPY) and 0 analyses. An in-depth analysis shows how each single muscle parameter was associated with each fragility fractures subtype. This review summarizes markers of muscle health and their association with fragility fractures. Measures of muscle strength and function appeared to perform better for fracture risk prediction. Of these, hand grip strength and gait speed are likely to be the most practical measures for inclusion in clinical practice, as in the evaluation of sarcopenia or in further fracture risk assessment scores. Measures of muscle mass did not appear to predict fragility fractures and might benefit from further research, on D3-creatine dilution test, lean mass indexes and artificial intelligence methods.
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Affiliation(s)
- Colin Vendrami
- Interdisciplinary Center of Bone Diseases, Rheumatology Unit, Department of Bone and JointLausanne University Hospital and University of LausanneLausanneSwitzerland
- Internal Medicine Unit, Department of Internal MedicineLausanne University Hospital and University of LausanneLausanneSwitzerland
| | - Enisa Shevroja
- Interdisciplinary Center of Bone Diseases, Rheumatology Unit, Department of Bone and JointLausanne University Hospital and University of LausanneLausanneSwitzerland
| | - Elena Gonzalez Rodriguez
- Interdisciplinary Center of Bone Diseases, Rheumatology Unit, Department of Bone and JointLausanne University Hospital and University of LausanneLausanneSwitzerland
| | - Guillaume Gatineau
- Interdisciplinary Center of Bone Diseases, Rheumatology Unit, Department of Bone and JointLausanne University Hospital and University of LausanneLausanneSwitzerland
| | - Jolanda Elmers
- University Library of Medicine, Faculty of Biology and MedicineLausanne University Hospital and University of LausanneLausanneSwitzerland
| | - Jean‐Yves Reginster
- WHO Collaborating Center for Public Health Aspects of Musculo‐Skeletal Health and Ageing, Division of Public Health, Epidemiology and Health EconomicsUniversity of LiègeLiègeBelgium
| | - Nicholas C. Harvey
- MRC Lifecourse Epidemiology CentreUniversity of SouthamptonSouthamptonUK
| | - Olivier Lamy
- Interdisciplinary Center of Bone Diseases, Rheumatology Unit, Department of Bone and JointLausanne University Hospital and University of LausanneLausanneSwitzerland
- Internal Medicine Unit, Department of Internal MedicineLausanne University Hospital and University of LausanneLausanneSwitzerland
| | - Didier Hans
- Interdisciplinary Center of Bone Diseases, Rheumatology Unit, Department of Bone and JointLausanne University Hospital and University of LausanneLausanneSwitzerland
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Alajlouni DA, Bliuc D, Tran TS, Blank RD, Center JR. Muscle strength and physical performance contribute to and improve fracture risk prediction in older people: A narrative review. Bone 2023; 172:116755. [PMID: 37028582 DOI: 10.1016/j.bone.2023.116755] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Revised: 02/20/2023] [Accepted: 03/31/2023] [Indexed: 04/09/2023]
Abstract
Osteoporotic fractures present a major health problem with an increasing prevalence in older people. Fractures are associated with premature mortality, reduced quality of life, subsequent fracture, and increased costs. Hence, it is crucial to identify those at higher risk of fracture. Fracture risk assessment tools incorporated clinical risk factors to improve fracture predictive power over BMD alone. However, fracture risk prediction using these algorithms remains suboptimal, warranting further improvement. Muscle strength and physical performance measurements have been associated with fracture risk. In contrast, the contribution of sarcopenia, the composite condition of low muscle mass, muscle strength and/or physical performance, to fracture risk is unclear. It is uncertain whether this is due to the problematic definition of sarcopenia per se or limitations of the diagnostic tools and cut-off points of the muscle mass component. The recent position statement from the Sarcopenia Definition and Outcomes Consortium confirmed the inclusion of muscle strength and performance in the definition of sarcopenia but not DXA-assessed lean mass. Therefore, clinicians should focus on functional assessment (muscle strength and performance) rather than muscle mass, at least as assessed by DXA, as predictors of fractures. Muscle strength and performance are modifiable risk factors. Resistance exercise improves muscle parameters in the elderly, potentially leading to reduced risk of falls and fractures in the general population and in those who sustained a fracture. Therapists may consider exercise intervention to improve muscle parameters and potentially reduce the risk of fractures. The aim of this review was to explore 1) the contribution of muscle parameters (i.e., muscle mass, strength, and physical performance) to fracture risk in older adults, and 2) the added predictive accuracy of these parameters beyond the existing fracture assessment tools. These topics provide the rationale for investigating strength and physical performance interventions to reduce fracture risk. Most of the included publications showed that muscle mass is not a good predictor of fracture risk, while poor muscle strength and performance are associated with an increased risk of fracture, particularly in men, independent of age, BMD, and other risk factors for fractures. Muscle strength and performance can potentially improve the predictive accuracy in men beyond that obtained by the fracture risk assessment tools, Garvan FRC and FRAX.
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Affiliation(s)
- Dima A Alajlouni
- Skeletal Diseases Program, Garvan Institute of Medical Research, Sydney, New South Wales, Australia; Faculty of Medicine and Health, University of New South Wales Sydney, Sydney, New South Wales, Australia.
| | - Dana Bliuc
- Skeletal Diseases Program, Garvan Institute of Medical Research, Sydney, New South Wales, Australia; Faculty of Medicine and Health, University of New South Wales Sydney, Sydney, New South Wales, Australia.
| | - Thach S Tran
- Skeletal Diseases Program, Garvan Institute of Medical Research, Sydney, New South Wales, Australia; Faculty of Medicine and Health, University of New South Wales Sydney, Sydney, New South Wales, Australia; School of Biomedical Engineering, University of Technology, Sydney, New South Wales, Australia.
| | - Robert D Blank
- Skeletal Diseases Program, Garvan Institute of Medical Research, Sydney, New South Wales, Australia
| | - Jacqueline R Center
- Skeletal Diseases Program, Garvan Institute of Medical Research, Sydney, New South Wales, Australia; Faculty of Medicine and Health, University of New South Wales Sydney, Sydney, New South Wales, Australia.
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Pana TA, Kioh SH, Neal SR, Tan MP, Mat S, Moayyeri A, Luben RN, Wareham NJ, Khaw KT, Myint PK. Body Fat Percentage and the Long-term Risk of Fractures. The EPIC-Norfolk Prospective Population Cohort Study. Maturitas 2023; 168:71-77. [PMID: 36502648 DOI: 10.1016/j.maturitas.2022.11.005] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2022] [Revised: 10/27/2022] [Accepted: 11/10/2022] [Indexed: 12/04/2022]
Abstract
BACKGROUND This cohort study aimed to determine the association between body fat percentage (BF%), incident fractures and calcaneal broadband ultrasound attenuation (BUA). METHODS Participants were drawn from the EPIC-Norfolk Prospective Population Cohort Study (median follow-up = 16.4 years). Cox models analysed the relationship between BF% and incident fractures (all and hip). Linear and restricted cubic spline (RCS) regressions modelled the relationship between BF% and BUA. RESULTS 14,129 participants (56.2 % women) were included. There were 1283 and 537 incident all and hip fractures respectively. The participants had a mean (standard deviation) age of 61.5 (9.0) years for women and 62.9 (9.0) years for men. Amongst men, BF% was not associated with incident all fractures. While BF% < 23 % (median) was not associated with hip fractures, BF% > 23 % was associated with increased risk of hip fractures by up to 50 % (hazard ratio (95 % confidence interval) = 1.49 (1.06-2.12)). In women, BF% < 39 % (median) was associated with up to 32 % higher risk of all fractures (1.32 (1.13-1.44)), while BF% > 35 % was not associated with this outcome. Higher BF% was associated with lower risk of incident hip fractures in women. Higher BF% was associated with higher BUA amongst women. Higher BF% up to ~23 % was associated with higher BUA amongst men. CONCLUSIONS Higher BF% is associated with lower risk of fractures in women. While there was no association between BF% and all fractures in men, increasing BF% >23 % was associated with higher risk of hip fractures in men. This appears to be independent of estimated bone mineral density. Fracture prevention efforts need to consider wider physical, clinical, and environmental factors.
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Affiliation(s)
- Tiberiu A Pana
- Ageing Clinical & Experimental Research Group, Institute of Applied Health Sciences, University of Aberdeen, Aberdeen, Scotland, United Kingdom.
| | - Sheng Hui Kioh
- Ageing Clinical & Experimental Research Group, Institute of Applied Health Sciences, University of Aberdeen, Aberdeen, Scotland, United Kingdom; Ageing and Age-Associated Disorders Research Group, University of Malaya, Kuala Lumpur, Malaysia
| | - Samuel R Neal
- Ageing Clinical & Experimental Research Group, Institute of Applied Health Sciences, University of Aberdeen, Aberdeen, Scotland, United Kingdom
| | - Maw Pin Tan
- Ageing and Age-Associated Disorders Research Group, University of Malaya, Kuala Lumpur, Malaysia; Department of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia; Department of Medical Sciences, School of Healthcare and Medical Sciences, Sunway University, Malaysia
| | - Sumaiyah Mat
- Ageing and Age-Associated Disorders Research Group, University of Malaya, Kuala Lumpur, Malaysia; Center of Healthy Ageing and Wellness, Faculty of Health Sciences, National University of Malaysia, Malaysia
| | | | - Robert N Luben
- Gonville and Caius College, University of Cambridge, United Kingdom
| | - Nicholas J Wareham
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, United Kingdom
| | - Kay-Tee Khaw
- Gonville and Caius College, University of Cambridge, United Kingdom
| | - Phyo K Myint
- Ageing Clinical & Experimental Research Group, Institute of Applied Health Sciences, University of Aberdeen, Aberdeen, Scotland, United Kingdom
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Harvey NC, Orwoll E, Cauley JA, Kwok T, Karlsson MK, Rosengren BE, Ribom E, Cawthon PM, Ensrud K, Liu E, Laskou F, Ward KA, Dennison EM, Cooper C, Kanis JA, Vandenput L, Lorentzon M, Ohlsson C, Mellström D, Johansson H, McCloskey E. Greater pQCT Calf Muscle Density Is Associated with Lower Fracture Risk, Independent of FRAX, Falls and BMD: A Meta-Analysis in the Osteoporotic Fractures in Men (MrOS) Study. JBMR Plus 2022; 6:e10696. [PMID: 36530188 PMCID: PMC9751652 DOI: 10.1002/jbm4.10696] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2022] [Accepted: 10/26/2022] [Indexed: 11/11/2022] Open
Abstract
We investigated the predictive performance of peripheral quantitative computed tomography (pQCT) measures of both calf muscle density (an established surrogate for muscle adiposity, with higher values indicating lower muscle adiposity and higher muscle quality) and size (cross-sectional area [CSA]) for incident fracture. pQCT (Stratec XCT2000/3000) measurements at the tibia were undertaken in Osteoporotic Fractures in Men (MrOS) United States (US), Hong Kong (HK), and Swedish (SW) cohorts. Analyses were by cohort and synthesized by meta-analysis. The predictive value for incident fracture outcomes, illustrated here for hip fracture (HF), using an extension of Poisson regression adjusted for age and follow-up time, was expressed as hazard ratio (HR) per standard deviation (SD) increase in exposure (HR/SD). Further analyses adjusted for femoral neck (fn) bone mineral density (BMD) T-score, Fracture Risk Assessment Tool (FRAX) 10-year fracture probability (major osteoporotic fracture) and prior falls. We studied 991 (US), 1662 (HK), and 1521 (SW) men, mean ± SD age 77.0 ± 5.1, 73.9 ± 4.9, 80 ± 3.4 years, followed for a mean ± SD 7.8 ± 2.2, 8.1 ± 2.3, 5.3 ± 2.0 years, with 31, 47, and 78 incident HFs, respectively. Both greater muscle CSA and greater muscle density were associated with a lower risk of incident HF [HR/SD: 0.84; 95% confidence interval [CI], 0.72-1.0 and 0.78; 95% CI, 0.66-0.91, respectively]. The pattern of associations was not materially changed by adjustment for prior falls or FRAX probability. In contrast, after inclusion of fn BMD T-score, the association for muscle CSA was no longer apparent (1.04; 95% CI, 0.88-1.24), whereas that for muscle density was not materially changed (0.69; 95% CI, 0.59-0.82). Findings were similar for osteoporotic fractures. pQCT measures of greater calf muscle density and CSA were both associated with lower incidence of fractures in older men, but only muscle density remained an independent risk factor for fracture after accounting for fn BMD. These findings demonstrate a complex interplay between measures of bone, muscle size, and quality, in determining fracture risk. © 2022 The Authors. JBMR Plus published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research.
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Affiliation(s)
- Nicholas C. Harvey
- MRC Lifecourse Epidemiology CentreUniversity of SouthamptonSouthamptonUK
- NIHR Southampton Biomedical Research CentreUniversity of Southampton and University Hospital Southampton NHS Foundation TrustSouthamptonUK
| | - Eric Orwoll
- Division of Endocrinology, Diabetes and Clinical Nutrition, School of MedicineOregon Health & Science UniversityPortlandORUSA
| | - Jane A. Cauley
- Department of Epidemiology, Graduate School of Public HealthUniversity of PittsburghPittsburghPAUSA
| | - Timothy Kwok
- Department of Medicine & Therapeutics and School of Public HealthThe Chinese University of Hong KongShatinChina
| | - Magnus K. Karlsson
- Clinical and Molecular Osteoporosis Research Unit, Department of Clinical Sciences MalmoLund University and Department of Orthopedics, Skane University HospitalMalmoSweden
| | - Björn E. Rosengren
- Clinical and Molecular Osteoporosis Research Unit, Department of Clinical Sciences MalmoLund University and Department of Orthopedics, Skane University HospitalMalmoSweden
| | - Eva Ribom
- Department of Surgical SciencesUniversity of UppsalaUppsalaSweden
| | - Peggy M. Cawthon
- Research InstituteCalifornia Pacific Medical CenterSan FranciscoCAUSA
- Department of Epidemiology and BiostatisticsUniversity of CaliforniaSan FranciscoCAUSA
| | - Kristine Ensrud
- Medicine and Epidemiology & Community HealthUniversity of MinnesotaMinneapolisMNUSA
- Center for Care Delivery and Outcomes ResearchMinneapolis VA Health Care SystemMinneapolisMNUSA
| | - Enwu Liu
- Mary MacKillop Institute for Health ResearchAustralian Catholic UniversityMelbourneAustralia
| | - Faidra Laskou
- MRC Lifecourse Epidemiology CentreUniversity of SouthamptonSouthamptonUK
| | - Kate A. Ward
- MRC Lifecourse Epidemiology CentreUniversity of SouthamptonSouthamptonUK
| | - Elaine M. Dennison
- MRC Lifecourse Epidemiology CentreUniversity of SouthamptonSouthamptonUK
| | - Cyrus Cooper
- MRC Lifecourse Epidemiology CentreUniversity of SouthamptonSouthamptonUK
- NIHR Southampton Biomedical Research CentreUniversity of Southampton and University Hospital Southampton NHS Foundation TrustSouthamptonUK
- NIHR Oxford Biomedical Research CentreUniversity of OxfordOxfordUK
| | - John A. Kanis
- Mary MacKillop Institute for Health ResearchAustralian Catholic UniversityMelbourneAustralia
- Centre for Metabolic Bone DiseasesUniversity of SheffieldSheffieldUK
| | - Liesbeth Vandenput
- Mary MacKillop Institute for Health ResearchAustralian Catholic UniversityMelbourneAustralia
- Sahlgrenska Osteoporosis Centre, Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
| | - Mattias Lorentzon
- Mary MacKillop Institute for Health ResearchAustralian Catholic UniversityMelbourneAustralia
- Sahlgrenska Osteoporosis Centre, Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
| | - Claes Ohlsson
- Sahlgrenska Osteoporosis Centre, Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
| | - Dan Mellström
- Sahlgrenska Osteoporosis Centre, Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
| | - Helena Johansson
- Mary MacKillop Institute for Health ResearchAustralian Catholic UniversityMelbourneAustralia
- Sahlgrenska Osteoporosis Centre, Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
| | - Eugene McCloskey
- Centre for Metabolic Bone DiseasesUniversity of SheffieldSheffieldUK
- Centre for Integrated Research into Musculoskeletal Ageing (CIMA), Mellanby Centre for Musculoskeletal ResearchUniversity of SheffieldSheffieldUK
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Cawthon PM, Peters KE, Cummings SR, Orwoll ES, Hoffman AR, Ensrud KE, Cauley JA, Evans WJ. Association Between Muscle Mass Determined by D 3 -Creatine Dilution and Incident Fractures in a Prospective Cohort Study of Older Men. J Bone Miner Res 2022; 37:1213-1220. [PMID: 35253257 PMCID: PMC9283198 DOI: 10.1002/jbmr.4505] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Revised: 12/10/2021] [Accepted: 01/12/2022] [Indexed: 11/05/2022]
Abstract
The relation between a novel measure of total skeletal muscle mass (assessed by D3 -creatine dilution [D3 Cr]) and incident fracture is unknown. In 1363 men (mean age 84.2 years), we determined D3 Cr muscle mass; Fracture Risk Assessment Tool (FRAX) 10-year probability of hip and major osteoporotic (hip, humerus, vertebral, forearm) fracture; and femoral neck bone mineral density (BMD) (by dual-energy X-ray absorptiometry [DXA]). Incident fractures were centrally adjudicated by review of radiology reports over 4.6 years. Correlations adjusted for weight and height were calculated between femoral neck BMD and D3 Cr muscle mass. Across quartiles of D3 Cr muscle mass/weight, proportional hazards models calculated hazard ratios (HRs) for any (n = 180); nonspine (n = 153); major osteoporotic fracture (n = 85); and hip fracture (n = 40) after adjustment for age, femoral neck BMD, recurrent fall history, and FRAX probability. Models were then adjusted to evaluate the mediating influence of physical performance (walking speed, chair stands, and grip strength). D3 Cr muscle mass was weakly correlated with femoral BMD (r = 0.10, p < 0.001). Compared to men in the highest quartile, those in the lowest quartile of D3 Cr muscle mass/weight had an increased risk of any clinical fracture (HR 1.8; 95% confidence interval [CI], 1.1-2.8); nonspine fracture (HR 1.8; 95% CI, 1.1-3.0), major osteoporotic fracture (HR 2.3; 95% CI, 1.2-4.6), and hip fracture (HR 5.9; 95% CI, 1.6-21.1). Results were attenuated after adjustment for physical performance, but associations remained borderline significant for hip and major osteoporotic fractures (p ≥ 0.05 to 0.10). Low D3 Cr muscle mass/weight is associated with a markedly high risk of hip and potentially other fractures in older men; this association is partially mediated by physical performance. © 2022 American Society for Bone and Mineral Research (ASBMR).
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Affiliation(s)
- Peggy M Cawthon
- Research Institute, California Pacific Medical Center, San Francisco, CA, USA.,Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
| | - Katherine E Peters
- Research Institute, California Pacific Medical Center, San Francisco, CA, USA
| | - Steven R Cummings
- Research Institute, California Pacific Medical Center, San Francisco, CA, USA.,Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
| | - Eric S Orwoll
- Department of Medicine, Oregon Health and Science University, Portland, OR, USA
| | | | - Kristine E Ensrud
- Center for Care Delivery and Outcomes Research, Minneapolis VA Health Care System, Minneapolis, MN, USA.,Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN, USA.,Department of Medicine, University of Minnesota, Minneapolis, MN, USA
| | - Jane A Cauley
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA
| | - William J Evans
- Nutritional Sciences & Toxicology, University of California, Berkeley, CA, USA.,Department of Medicine, Duke University, Durham, NC, USA
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8
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Harvey NC, Orwoll E, Kwok T, Karlsson MK, Rosengren BE, Ribom E, Cauley JA, Cawthon PM, Ensrud K, Liu E, Cruz-Jentoft AJ, Fielding RA, Cooper C, Kanis JA, Lorentzon M, Ohlsson C, Mellström D, Johansson H, McCloskey E. Sarcopenia Definitions as Predictors of Fracture Risk Independent of FRAX ® , Falls, and BMD in the Osteoporotic Fractures in Men (MrOS) Study: A Meta-Analysis. J Bone Miner Res 2021; 36:1235-1244. [PMID: 33831257 PMCID: PMC7611727 DOI: 10.1002/jbmr.4293] [Citation(s) in RCA: 44] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/27/2020] [Revised: 03/01/2021] [Accepted: 03/16/2021] [Indexed: 12/11/2022]
Abstract
Dual-energy X-ray absorptiometry (DXA)-derived appendicular lean mass/height2 (ALM/ht2 ) is the most commonly used estimate of muscle mass in the assessment of sarcopenia, but its predictive value for fracture is substantially attenuated by femoral neck (fn) bone mineral density (BMD). We investigated predictive value of 11 sarcopenia definitions for incident fracture, independent of fnBMD, fracture risk assessment tool (FRAX® ) probability, and prior falls, using an extension of Poisson regression in US, Sweden, and Hong Kong Osteoporois Fractures in Men Study (MrOS) cohorts. Definitions tested were those of Baumgartner and Delmonico (ALM/ht2 only), Morley, the International Working Group on Sarcopenia, European Working Group on Sarcopenia in Older People (EWGSOP1 and 2), Asian Working Group on Sarcopenia, Foundation for the National Institutes of Health (FNIH) 1 and 2 (using ALM/body mass index [BMI], incorporating muscle strength and/or physical performance measures plus ALM/ht2 ), and Sarcopenia Definitions and Outcomes Consortium (gait speed and grip strength). Associations were adjusted for age and time since baseline and reported as hazard ratio (HR) for first incident fracture, here major osteoporotic fracture (MOF; clinical vertebral, hip, distal forearm, proximal humerus). Further analyses adjusted additionally for FRAX-MOF probability (n = 7531; calculated ± fnBMD), prior falls (y/n), or fnBMD T-score. Results were synthesized by meta-analysis. In 5660 men in USA, 2764 Sweden and 1987 Hong Kong (mean ages 73.5, 75.4, and 72.4 years, respectively), sarcopenia prevalence ranged from 0.5% to 35%. Sarcopenia status, by all definitions except those of FNIH, was associated with incident MOF (HR = 1.39 to 2.07). Associations were robust to adjustment for prior falls or FRAX probability (without fnBMD); adjustment for fnBMD T-score attenuated associations. EWGSOP2 severe sarcopenia (incorporating chair stand time, gait speed, and grip strength plus ALM) was most predictive, albeit at low prevalence, and appeared only modestly influenced by inclusion of fnBMD. In conclusion, the predictive value for fracture of sarcopenia definitions based on ALM is reduced by adjustment for fnBMD but strengthened by additional inclusion of physical performance measures. © 2021 The Authors. Journal of Bone and Mineral Research published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research (ASBMR).
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Affiliation(s)
- Nicholas C Harvey
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Eric Orwoll
- Oregon Health & Science University, Portland, OR, USA
| | - Timothy Kwok
- Department of Medicine and Therapeutics and School of Public Health, The Chinese University of Hong Kong, Shatin, Hong Kong
| | - Magnus K Karlsson
- Clinical and Molecular Osteoporosis Research Unit, Department of Clinical Sciences Malmo, Lund University and Department of Orthopedics, Skane University Hospital, Malmo, Sweden
| | - Björn E Rosengren
- Clinical and Molecular Osteoporosis Research Unit, Department of Clinical Sciences Malmo, Lund University and Department of Orthopedics, Skane University Hospital, Malmo, Sweden
| | - Eva Ribom
- Department of Surgical Sciences, University of Uppsala, Uppsala, Sweden
| | - Jane A Cauley
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Peggy M Cawthon
- Research Institute, California Pacific Medical Center, San Francisco, CA, USA
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
| | - Kristine Ensrud
- Medicine and Epidemiology & Community Health, University of Minnesota, Minneapolis, MN, USA
| | - Enwu Liu
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
| | | | - Roger A Fielding
- Nutrition, Exercise Physiology, and Sarcopenia Laboratory, Jean Mayer USDA Human Nutrition Research Center on Aging at Tufts University, Boston, MA, USA
| | - Cyrus Cooper
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
- NIHR Oxford Biomedical Research Centre, University of Oxford, Oxford, UK
| | - John A Kanis
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
- Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK
| | - Mattias Lorentzon
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
- Geriatric Medicine, Institute of Medicine, Sahlgrenska Academy, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Claes Ohlsson
- Department of Internal Medicine and Clinical Nutrition, Center for Bone and Arthritis Research, Institute of Medicine, The Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden
- Region Västra Götaland, Sahlgrenska University Hospital, Department of Drug Treatment, Gothenburg, Sweden
| | - Dan Mellström
- Department of Internal Medicine and Clinical Nutrition, Center for Bone and Arthritis Research, Institute of Medicine, The Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden
| | - Helena Johansson
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
- Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK
| | - Eugene McCloskey
- Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK
- Centre for Integrated research in Musculoskeletal Ageing (CIMA), Mellanby Centre for Bone Research, University of Sheffield, Sheffield, UK
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9
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Harvey NC, Kanis JA, Liu E, Cooper C, Lorentzon M, Bea JW, Carbone L, Cespedes Feliciano EM, Laddu DR, Schnatz PF, Shadyab AH, Stefanick ML, Wactawski‐Wende J, Crandall CJ, Johansson H, McCloskey E. Predictive Value of DXA Appendicular Lean Mass for Incident Fractures, Falls, and Mortality, Independent of Prior Falls, FRAX, and BMD: Findings from the Women's Health Initiative (WHI). J Bone Miner Res 2021; 36:654-661. [PMID: 33450071 PMCID: PMC7610603 DOI: 10.1002/jbmr.4239] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/03/2020] [Revised: 12/14/2020] [Accepted: 12/23/2020] [Indexed: 12/26/2022]
Abstract
In the Women's Health Initiative (WHI), we investigated associations between baseline dual-energy X-ray absorptiometry (DXA) appendicular lean mass (ALM) and risk of incident fractures, falls, and mortality (separately for each outcome) among older postmenopausal women, accounting for bone mineral density (BMD), prior falls, and Fracture Risk Assessment Tool (FRAX® ) probability. The WHI is a prospective study of postmenopausal women undertaken at 40 US sites. We used an extension of Poisson regression to investigate the relationship between baseline ALM (corrected for height2 ) and incident fracture outcomes, presented here for major osteoporotic fracture (MOF: hip, clinical vertebral, forearm, or proximal humerus), falls, and death. Associations were adjusted for age, time since baseline and randomization group, or additionally for femoral neck (FN) BMD, prior falls, or FRAX probability (MOF without BMD) and are reported as gradient of risk (GR: hazard ratio for first incident fracture per SD increment) in ALM/height2 (GR). Data were available for 11,187 women (mean [SD] age 63.3 [7.4] years). In the base models (adjusted for age, follow-up time, and randomization group), greater ALM/height2 was associated with lower risk of incident MOF (GR = 0.88; 95% confidence interval [CI] 0.83-0.94). The association was independent of prior falls but was attenuated by FRAX probability. Adjustment for FN BMD T-score led to attenuation and inversion of the risk relationship (GR = 1.06; 95% CI 0.98-1.14). There were no associations between ALM/height2 and incident falls. However, there was a 7% to 15% increase in risk of death during follow-up for each SD greater ALM/height2 , depending on specific adjustment. In WHI, and consistent with our findings in older men (Osteoporotic Fractures in Men [MrOS] study cohorts), the predictive value of DXA-ALM for future clinical fracture is attenuated (and potentially inverted) after adjustment for femoral neck BMD T-score. However, intriguing positive, but modest, associations between ALM/height2 and mortality remain robust. © 2021 The Authors. Journal of Bone and Mineral Research published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research (ASBMR).
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Affiliation(s)
- Nicholas C Harvey
- MRC Lifecourse Epidemiology UnitUniversity of SouthamptonSouthamptonUK
- NIHR Southampton Biomedical Research CentreUniversity of Southampton and University Hospital Southampton NHS Foundation TrustSouthamptonUK
| | - John A Kanis
- Centre for Metabolic Bone DiseasesUniversity of SheffieldSheffieldUK
- Mary McKillop Institute for Health ResearchAustralian Catholic UniversityMelbourneAustralia
| | - Enwu Liu
- Mary McKillop Institute for Health ResearchAustralian Catholic UniversityMelbourneAustralia
| | - Cyrus Cooper
- MRC Lifecourse Epidemiology UnitUniversity of SouthamptonSouthamptonUK
- NIHR Southampton Biomedical Research CentreUniversity of Southampton and University Hospital Southampton NHS Foundation TrustSouthamptonUK
- NIHR Biomedical Research CentreUniversity of OxfordOxfordUK
| | - Mattias Lorentzon
- Mary McKillop Institute for Health ResearchAustralian Catholic UniversityMelbourneAustralia
- Geriatric Medicine, Department of Internal Medicine and Clinical NutritionInstitute of Medicine, University of GothenburgGothenburgSweden
- Geriatric MedicineSahlgrenska University HospitalMölndalSweden
| | | | - Laura Carbone
- Department of Medicine, Division of Rheumatology, J Harold Harrison, MD, Distinguished University Chair in RheumatologyMedical College of Georgia at Augusta UniversityAugustaGAUSA
| | | | - Deepika R Laddu
- Department of Physical TherapyCollege of Applied Health Sciences, University of Illinois at ChicagoChicagoILUSA
| | | | | | - Marcia L Stefanick
- Department of Medicine (Stanford Prevention Research Center)Stanford School of Medicine, Stanford UniversityStanfordCAUSA
| | | | - Carolyn J Crandall
- David Geffen School of Medicine at the University of CaliforniaLos AngelesCAUSA
| | - Helena Johansson
- Centre for Metabolic Bone DiseasesUniversity of SheffieldSheffieldUK
- Mary McKillop Institute for Health ResearchAustralian Catholic UniversityMelbourneAustralia
| | - Eugene McCloskey
- Centre for Metabolic Bone DiseasesUniversity of SheffieldSheffieldUK
- Centre for Integrated Research in Musculoskeletal Ageing (CIMA)Mellanby Centre for Bone Research, University of SheffieldSheffieldUK
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10
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Pang BWJ, Wee SL, Chen KK, Lau LK, Jabbar KA, Seah WT, Ng DHM, Tan QLL, Jagadish MU, Ng TP. Coexistence of osteoporosis, sarcopenia and obesity in community-dwelling adults - The Yishun Study. Osteoporos Sarcopenia 2021; 7:17-23. [PMID: 33869801 PMCID: PMC8044590 DOI: 10.1016/j.afos.2020.12.002] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2020] [Revised: 12/14/2020] [Accepted: 12/21/2020] [Indexed: 12/12/2022] Open
Abstract
OBJECTIVES To 1) report prevalence of 'osteosarcopenia' (OS) and osteosarcopenic obesity (OSO) entities using evidence-based diagnostic techniques and definitions, 2) examine if OSO offers additional predictive value of functional decline over its components, and 3) identify associated factors in a multi-racial Southeast Asian population. METHODS We performed a cross-sectional study of a representative sample of 542 community-dwelling adults (21-90 years old), and assessed anthropometry, cognition, functional performance, and self-report sociodemographic, health and lifestyle questionnaires. Low muscle mass, and the Asian Working Group for Sarcopenia (AWGS) 2019 criteria, were used to assess sarcopenia. Obesity was defined using percentage body fat and fat mass index. Osteopenia/osteoporosis was determined using lumbar spinal bone mineral density. Associated factors were examined using logistic regression, and OSO's value investigated using linear regressions with functional performance. RESULTS OS and OSO prevalence were 1.8% and 0% (21-59 years), 12.9% and 2.8% (≥ 60 years), 17.3% and 4.1% (≥ 65 years), and 25.5% and 7.0% (≥75 years), respectively. OSO entity as defined was not a significant predictor (P > 0.05) and did not improve explanations for functional decline over sarcopenia or sarcopenic obesity. Age, sex, race and body mass index (BMI) were associated with OS, while age, sex, race and alcoholism were associated with OSO. CONCLUSIONS Our results do not support OSO as a distinct entity in relation to functional decline. Aside from biological age, sex, and race, amenable lifestyle factors such as BMI and alcohol intake are important variables that can influence the co-existence of osteopenia/osteoporosis, sarcopenia and obesity.
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Affiliation(s)
| | - Shiou-Liang Wee
- Geriatric Education and Research Institute, Singapore
- Faculty of Health and Social Sciences, Singapore Institute of Technology, Singapore
| | | | - Lay Khoon Lau
- Geriatric Education and Research Institute, Singapore
| | | | - Wei Ting Seah
- Geriatric Education and Research Institute, Singapore
| | | | | | - Mallya Ullal Jagadish
- Geriatric Education and Research Institute, Singapore
- Geriatric Medicine, Khoo Teck Puat Hospital, Singapore
| | - Tze Pin Ng
- Geriatric Education and Research Institute, Singapore
- Department of Psychological Medicine, National University of Singapore, Singapore
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11
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Analysis of muscle, hip, and subcutaneous fat in osteoporosis patients with varying degrees of fracture risk using 3T Chemical Shift Encoded MRI. Bone Rep 2020; 12:100259. [PMID: 32322608 PMCID: PMC7163287 DOI: 10.1016/j.bonr.2020.100259] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2020] [Accepted: 03/18/2020] [Indexed: 02/08/2023] Open
Abstract
Osteoporosis (OP) is a major disease that affects 200 million people worldwide. Fatty acid metabolism plays an important role in bone health and plays an important role in bone quality and remodeling. Increased bone marrow fat quantity has been shown to be associated with a decrease in bone mineral density (BMD), which is used to predict fracture risk. Chemical-Shift Encoded magnetic resonance imaging (CSE-MRI) allows noninvasive and quantitative assessment of adipose tissues (AT). The aim of our study was to assess hip or proximal femoral bone marrow adipose tissue (BMAT), thigh muscle (MUS), and subcutaneous adipose tissue (SAT) in 128 OP subjects matched for age, BMD, weight and height with different degrees of fracture risk assessed through the FRAX score (low, moderate and high). Our results showed an increase in BMAT and in MUS in high compared to low fracture risk patients. We also assessed the relationship between fracture risk as assessed by FRAX and AT quantities. Overall, the results of this study suggest that assessment of adipose tissue via 3T CSE-MRI provides insight into the pathophysiology fracture risk by showing differences in the bone marrow and muscle fat content in subjects with similarly osteoporotic BMD as assessed by DXA, but with varying degrees of fracture risk as assessed by FRAX.
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12
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Prediction of Frailty and Dementia Using Oral Health Impact Profile from a Population-Based Survey. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17061997. [PMID: 32197375 PMCID: PMC7143751 DOI: 10.3390/ijerph17061997] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/23/2020] [Revised: 03/14/2020] [Accepted: 03/16/2020] [Indexed: 12/23/2022]
Abstract
Oral health and dentition have been associated with cognitive ability and frailty, but an applicable screening tool has not yet been developed. This study aimed to establish risk prediction models for dementia and frailty. A sample of 2905 community-dwelling older adults aged ≥58 years using the Taiwan Longitudinal Study on Aging (TLSA) survey was adapted and analyzed for this study. Risk scores were estimated by stepwise logistic regression. In models adjusted for covariates, increased age, female sex, no dental prosthesis (adjusted Odds ratio [adjOR], 1.61; 95% confidence interval [CI], 1.11–2.35), diabetes mellitus, chronic kidney disease, and an increased Oral Health Impact Profile (OHIP)-7T Q3 score (adjOR, 1.33; 95% CI, 1.19–1.49) were all significantly associated with frailty. In addition to these factors, an inability to self-report height or weight (adjOR, 4.52; 95% CI, 3.52–5.81) and an increased OHIP-7T Q7 score (adjOR, 1.21; 95% CI, 1.06–1.37) were significantly associated with dementia. The cut-off points of the risk scores for frailty and dementia were 80 (sensitivity, 80.0%; specificity, 81.2%) and 77 (sensitivity, 83.4%; specificity, 71.5%), respectively. The findings highlighted a number of composite risk factors of frailty and dementia. Importantly, the developed prediction models were easily applicable to screen for frailty and dementia in communities or dental clinics.
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13
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Herrmann M, Engelke K, Ebert R, Müller-Deubert S, Rudert M, Ziouti F, Jundt F, Felsenberg D, Jakob F. Interactions between Muscle and Bone-Where Physics Meets Biology. Biomolecules 2020; 10:biom10030432. [PMID: 32164381 PMCID: PMC7175139 DOI: 10.3390/biom10030432] [Citation(s) in RCA: 103] [Impact Index Per Article: 20.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2020] [Revised: 02/27/2020] [Accepted: 03/05/2020] [Indexed: 02/06/2023] Open
Abstract
Muscle and bone interact via physical forces and secreted osteokines and myokines. Physical forces are generated through gravity, locomotion, exercise, and external devices. Cells sense mechanical strain via adhesion molecules and translate it into biochemical responses, modulating the basic mechanisms of cellular biology such as lineage commitment, tissue formation, and maturation. This may result in the initiation of bone formation, muscle hypertrophy, and the enhanced production of extracellular matrix constituents, adhesion molecules, and cytoskeletal elements. Bone and muscle mass, resistance to strain, and the stiffness of matrix, cells, and tissues are enhanced, influencing fracture resistance and muscle power. This propagates a dynamic and continuous reciprocity of physicochemical interaction. Secreted growth and differentiation factors are important effectors of mutual interaction. The acute effects of exercise induce the secretion of exosomes with cargo molecules that are capable of mediating the endocrine effects between muscle, bone, and the organism. Long-term changes induce adaptations of the respective tissue secretome that maintain adequate homeostatic conditions. Lessons from unloading, microgravity, and disuse teach us that gratuitous tissue is removed or reorganized while immobility and inflammation trigger muscle and bone marrow fatty infiltration and propagate degenerative diseases such as sarcopenia and osteoporosis. Ongoing research will certainly find new therapeutic targets for prevention and treatment.
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Affiliation(s)
- Marietta Herrmann
- Orthopedic Department, Bernhard-Heine-Center for Locomotion Research, IZKF Research Group Tissue regeneration in musculoskeletal diseases, University Hospital Würzburg, University of Wuerzburg, 97070 Würzburg, Germany;
| | - Klaus Engelke
- Department of Medicine 3, FAU University Erlangen-Nürnberg and Universitätsklinikum Erlangen, 91054 Erlangen, Germany;
| | - Regina Ebert
- Orthopedic Department, Bernhard-Heine-Center for Locomotion Research, University of Würzburg, IGZ, 97076 Würzburg, Germany; (R.E.)
| | - Sigrid Müller-Deubert
- Orthopedic Department, Bernhard-Heine-Center for Locomotion Research, University of Würzburg, IGZ, 97076 Würzburg, Germany; (R.E.)
| | - Maximilian Rudert
- Orthopedic Department, Bernhard-Heine-Center for Locomotion Research, University of Würzburg, 97074 Würzburg, Germany;
| | - Fani Ziouti
- Department of Internal Medicine II, University Hospital Würzburg, 97080 Würzburg, Germany; (F.Z.); (F.J.)
| | - Franziska Jundt
- Department of Internal Medicine II, University Hospital Würzburg, 97080 Würzburg, Germany; (F.Z.); (F.J.)
| | - Dieter Felsenberg
- Privatpraxis für Muskel- und Knochenkrankheiten, 12163 Berlin Germany;
| | - Franz Jakob
- Orthopedic Department, Bernhard-Heine-Center for Locomotion Research, University of Würzburg, IGZ, 97076 Würzburg, Germany; (R.E.)
- Orthopedic Department, Bernhard-Heine-Center for Locomotion Research, University of Würzburg, 97074 Würzburg, Germany;
- Correspondence:
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14
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Bauer JM, Cruz-Jentoft AJ, Fielding RA, Kanis JA, Reginster JY, Bruyère O, Cesari M, Chapurlat R, Al-Daghri N, Dennison E, Kaufman JM, Landi F, Laslop A, Locquet M, Maggi S, McCloskey E, Perna S, Rizzoli R, Rolland Y, Rondanelli M, Szulc P, Vellas B, Vlaskovska M, Cooper C. Is There Enough Evidence for Osteosarcopenic Obesity as a Distinct Entity? A Critical Literature Review. Calcif Tissue Int 2019; 105:109-124. [PMID: 31098729 DOI: 10.1007/s00223-019-00561-w] [Citation(s) in RCA: 43] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/26/2018] [Accepted: 05/02/2019] [Indexed: 12/16/2022]
Abstract
The co-existence of impaired bone health (osteopenia/osteoporosis), reduced muscle mass and strength (sarcopenia), and increased adiposity (obesity) in middle-aged and older people has been identified in recent studies, leading to a proposal for the existence of "osteosarcopenic obesity" as a distinct entity. Evidence for the pathophysiological overlap of these conditions is mounting, although a causal relationship is yet to be established. Each component condition occurs frequently with increasing age, and with shared risk factors in many instances, thus, an overlap of these three conditions is not surprising. However, whether the concurrent existence of sarcopenia, osteoporosis and obesity leads to an increased risk of adverse musculoskeletal outcomes and mortality above and beyond the risks associated with the sum of the component parts remains to be proven and is a question of research interest. In this article, we review evidence for the existence of osteosarcopenic obesity including the current operational definition of osteosarcopenic obesity, prevalence, pathophysiology, outcomes and exploratory approaches to the management of components. We conclude that, there is insufficient evidence to support a discrete clinical entity of osteosarcopenic obesity at this time. To expand knowledge and understanding in this area, there is a need for consensus on a definition of osteosarcopenic obesity which will allow for identification, further epidemiological studies and comparisons between studies. Additionally, studies should assess whether the clinical outcomes associated with osteosarcopenic obesity are worse than the mere addition of those linked with its components. This will help to determine whether defining a person as having this triad will eventually result in a more effective treatment than addressing each of the three conditions separately.
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Affiliation(s)
- Jürgen M Bauer
- Center for Geriatric Medicine, University of Heidelberg, AGAPLESION Bethanien Krankenhaus Heidelberg, Heidelberg, Germany.
| | | | - Roger A Fielding
- Nutrition, Exercise Physiology, and Sarcopenia Laboratory, Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA, USA
| | - John A Kanis
- Mary McKillop Health Institute, Australian Catholic University, Melbourne, Australia
- Centre for Metabolic Bone Diseases, University of Sheffield Medical School, Sheffield, UK
| | - Jean-Yves Reginster
- Department of Public Health, Epidemiology and Health Economics, University of Liège, CHU Sart Tilman B23, 4000, Liège, Belgium
- WHO Collaborating Centre for Public Health Aspects of Musculoskeletal Health and Aging, Liège, Belgium
- Chair for Biomarkers of Chronic Diseases, Biochemistry Department, College of Science, King Saud University, Riyadh, Kingdom of Saudi Arabia
| | - Olivier Bruyère
- Department of Public Health, Epidemiology and Health Economics, University of Liège, CHU Sart Tilman B23, 4000, Liège, Belgium
- WHO Collaborating Centre for Public Health Aspects of Musculoskeletal Health and Aging, Liège, Belgium
| | - Matteo Cesari
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, University of Milan, Milan, Italy
| | - Roland Chapurlat
- INSERM, UMR 1033, Université de Lyon, Hôpital E Herriot, 69437, Lyon Cedex 03, France
| | - Nasser Al-Daghri
- Chair for Biomarkers of Chronic Diseases, Biochemistry Department, College of Science, King Saud University, Riyadh, Kingdom of Saudi Arabia
| | - Elaine Dennison
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, UK
| | - Jean-Marc Kaufman
- Department of Endocrinology, Ghent University Hospital, Ghent, Belgium
| | - Francesco Landi
- Department of Geriatrics, Neurosciences and Orthopaedics, Orthogeriatric Unit, Teaching Hospital "Agostino Gemelli", Catholic University of the Sacred Heart School of Medicine, Rome, Italy
| | - Andrea Laslop
- Scientific Office, Federal Office for Safety in Health Care, Austrian Agency for Health and Food Safety, Vienna, Austria
| | - Médéa Locquet
- Department of Public Health, Epidemiology and Health Economics, University of Liège, CHU Sart Tilman B23, 4000, Liège, Belgium
- WHO Collaborating Centre for Public Health Aspects of Musculoskeletal Health and Aging, Liège, Belgium
| | | | - Eugene McCloskey
- Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK
- Mellanby Centre for Bone Research and Centre for Integrated Research in Musculoskeletal Ageing, University of Sheffield, Sheffield, UK
| | - Simone Perna
- Department of Biology, College of Science, University of Bahrain, Sakhir Campus, P.O. Box 32038, Zallaq, Bahrain
| | - René Rizzoli
- WHO Collaborating Centre for Public Health Aspects of Musculoskeletal Health and Aging, Liège, Belgium
- Division of Bone Diseases, Geneva University Hospitals and Faculty of Medicine, Geneva, Switzerland
| | - Yves Rolland
- CHU Toulouse, Médecine Gériatrie Gérontopôle, Cité de la Santé, 20 Rue du Pont Saint Pierre, Inserm 1027, 31059, Toulouse, France
| | - Mariangela Rondanelli
- IRCCS Mondino Foundation, Pavia, Department of Public Health, Experimental and Forensic Medicine, Unit of Human Nutrition, University of Pavia, Pavia, Italy
| | - Pawel Szulc
- INSERM, UMR 1033, University of Lyon, Hôpital Edouard Herriot, Lyon, France
| | - Bruno Vellas
- CHU Toulouse, Médecine Gériatrie Gérontopôle, Cité de la Santé, 20 Rue du Pont Saint Pierre, Inserm 1027, 31059, Toulouse, France
| | - Mila Vlaskovska
- Medical Faculty, Department of Pharmacology, Medical University Sofia, 2, Zdrave Str, 1431, Sofia, Bulgaria
| | - Cyrus Cooper
- WHO Collaborating Centre for Public Health Aspects of Musculoskeletal Health and Aging, Liège, Belgium
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, UK
- NIHR Musculoskeletal Biomedical Research Unit, University of Oxford, Oxford, UK
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15
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Mareschal J, Achamrah N, Norman K, Genton L. Clinical Value of Muscle Mass Assessment in Clinical Conditions Associated with Malnutrition. J Clin Med 2019; 8:jcm8071040. [PMID: 31319519 PMCID: PMC6678556 DOI: 10.3390/jcm8071040] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2019] [Revised: 07/08/2019] [Accepted: 07/16/2019] [Indexed: 01/06/2023] Open
Abstract
Malnutrition results from a reduction of food intake or an alteration of nutrient assimilation and leads to decreased lean mass. Strong evidence shows that malnutrition associated with loss of muscle mass negatively impacts clinical outcomes. The preservation or improvement of muscle mass represents a challenge. This review aims to (1) describe current methods to assess muscle mass in clinical practice, (2) describe the associations between muscle mass and clinical outcomes, and (3) describe the impact of interventions aiming at increasing muscle mass on clinical outcomes. It highlights the importance of assessing muscle mass as part of the screening and the follow-up of malnutrition in clinical practice.
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Affiliation(s)
- Julie Mareschal
- Clinical Nutrition, Geneva University Hospitals, 1205 Geneva, Switzerland.
| | - Najate Achamrah
- Department of Clinical Nutrition, Rouen University Hospital, Normandie University, 76000 Rouen, France
| | - Kristina Norman
- Research Group on Geriatrics, Charité Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, 13347 Berlin, Germany
- Department of Nutrition and Gerontology, German Institute for Human Nutrition Potsdam-Rehbrücke, 14558 Nuthetal, Germany
| | - Laurence Genton
- Clinical Nutrition, Geneva University Hospital, 1205 Geneva, Switzerland.
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16
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Harvey NC, Kanis JA, Liu E, Johansson H, Lorentzon M, McCloskey E. Appendicular lean mass and fracture risk assessment: implications for FRAX® and sarcopenia. Osteoporos Int 2019; 30:537-539. [PMID: 30815717 PMCID: PMC6430419 DOI: 10.1007/s00198-019-04904-z] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/01/2018] [Accepted: 02/14/2019] [Indexed: 11/25/2022]
Abstract
The vast majority of current sarcopenia definitions use DXA-derived appendicular lean mass (DXA ALM) as an approximation of muscle mass. However, there is increasing evidence that ALM is poorly predictive of incident fractures. In this editorial, we describe findings from several cohorts suggesting that DXA ALM gives only limited information on the risk of incident fracture, and that in the US MrOS, WHI and Health ABC cohorts, accounting for femoral neck bone mineral density may entirely remove ALM-fracture associations. These observations raise important questions about the role of DXA ALM both in sarcopenia definitions and as a potential input variable for FRAX. We conclude that DXA ALM is unlikely to be a useful addition to the FRAX tool, but that other means of estimating muscle mass, such as those derived from creatine dilution or peripheral quantitative CT, might offer more value for fracture risk assessment.
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Affiliation(s)
- N C Harvey
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, SO16 6YD, UK.
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Tremona Road, Southampton, UK.
| | - J A Kanis
- Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK
- Mary McKillop Health Institute, Australian Catholic University, Melbourne, Australia
| | - E Liu
- Mary McKillop Health Institute, Australian Catholic University, Melbourne, Australia
| | - H Johansson
- Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK
- Mary McKillop Health Institute, Australian Catholic University, Melbourne, Australia
| | - M Lorentzon
- Geriatric Medicine, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
- Geriatric Medicine, Sahlgrenska University Hospital, Mölndal, Sweden
| | - E McCloskey
- Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK
- Centre for Integrated research in Musculoskeletal Ageing (CIMA), Mellanby Centre for Bone Research, University of Sheffield, Sheffield, UK
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17
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Engelke K, Museyko O, Wang L, Laredo JD. Quantitative analysis of skeletal muscle by computed tomography imaging-State of the art. J Orthop Translat 2018; 15:91-103. [PMID: 30533385 PMCID: PMC6260391 DOI: 10.1016/j.jot.2018.10.004] [Citation(s) in RCA: 113] [Impact Index Per Article: 16.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2018] [Revised: 10/16/2018] [Accepted: 10/19/2018] [Indexed: 02/06/2023] Open
Abstract
The radiological assessment of muscle properties-size, mass, density (also termed radiodensity), composition, and adipose tissue infiltration-is fundamental in muscle diseases. More recently, it also became obvious that muscle atrophy, also termed muscle wasting, is caused by or associated with many other diseases or conditions, such as inactivity, malnutrition, chronic obstructive pulmonary disorder, cancer-associated cachexia, diabetes, renal and cardiac failure, and sarcopenia and even potentially with osteoporotic hip fracture. Several techniques have been developed to quantify muscle morphology and function. This review is dedicated to quantitative computed tomography (CT) of skeletal muscle and only includes a brief comparison with magnetic resonance imaging. Strengths and limitations of CT techniques are discussed in detail, including CT scanner calibration, acquisition and reconstruction protocols, and the various quantitative parameters that can be measured with CT, starting from simple volume measures to advanced parameters describing the adipose tissue distribution within muscle. Finally, the use of CT in sarcopenia and cachexia and the relevance of muscle parameters for the assessment of osteoporotic fracture illustrate the application of CT in two emerging areas of medical interest.
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Affiliation(s)
- Klaus Engelke
- FAU, Department of Medicine 3, University Hospital, Erlangen, Germany
- Friedrich-Alexander University Erlangen-Nuremberg, Institute of Medical Physics, Erlangen, Germany
| | - Oleg Museyko
- Friedrich-Alexander University Erlangen-Nuremberg, Institute of Medical Physics, Erlangen, Germany
| | - Ling Wang
- Department of Radiology, Beijing Jishuitan Hospital, Beijing, China
| | - Jean-Denis Laredo
- AP-HP, Department of Radiology, Hôpital Lariboisière, Assistance Publique des Hôpitaux de Paris & Université Paris Diderot, Paris, France
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McLean RR, Kiel DP, Berry SD, Broe KE, Zhang X, Cupples LA, Hannan MT. Lower Lean Mass Measured by Dual-Energy X-ray Absorptiometry (DXA) is Not Associated with Increased Risk of Hip Fracture in Women: The Framingham Osteoporosis Study. Calcif Tissue Int 2018; 103:16-23. [PMID: 29305636 PMCID: PMC6013345 DOI: 10.1007/s00223-017-0384-y] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/22/2017] [Accepted: 12/29/2017] [Indexed: 12/22/2022]
Abstract
Although muscle mass influences strength in older adults, it is unclear whether low lean mass measured by dual-energy X-ray absorptiometry (DXA) is an independent risk factor for hip fracture. Our objective was to determine the association between DXA lean mass and incident hip fracture risk among 1978 women aged 50 years and older participating in the Framingham Study Original and Offspring cohorts. Leg and total body lean mass (kg) were assessed from whole-body DXA scans collected in 1992-2001. Hip fracture follow-up extended from DXA assessment to the occurrence of fracture, death, drop-out, or end of follow-up in 2007. Cox proportional hazards regression was used to calculate hazard ratios (HR) and 95% confidence intervals (CI) estimating the relative risk of hip fracture associated with a 1-kg increase in baseline lean mass. Mean age was 66 years (range 50-93). Over a median of 8 years of follow-up, 99 hip fractures occurred. In models adjusted for age, height, study cohort, and percent total body fat, neither leg (HR 1.11; 95% CI 0.94, 1.31) nor total body (HR 1.06; 95% CI 0.99, 1.13) lean mass were associated with hip fracture. After further adjustment for femoral neck bone mineral density, leg lean mass results were similar (HR 1.10; 95% CI 0.93, 1.30). In contrast, 1 kg greater total body lean mass was associated with 9% higher hip fracture risk (HR 1.09; 95% CI 1.02, 1.18). Our findings suggest that in women, lower lean mass measured by DXA is not associated with increased risk of hip fracture.
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Affiliation(s)
- Robert R McLean
- Institute for Aging Research, Hebrew SeniorLife, 1200 Centre Street, Boston, MA, 02131, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Douglas P Kiel
- Institute for Aging Research, Hebrew SeniorLife, 1200 Centre Street, Boston, MA, 02131, USA.
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA.
- Harvard Medical School, Boston, MA, USA.
| | - Sarah D Berry
- Institute for Aging Research, Hebrew SeniorLife, 1200 Centre Street, Boston, MA, 02131, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Kerry E Broe
- Institute for Aging Research, Hebrew SeniorLife, 1200 Centre Street, Boston, MA, 02131, USA
| | - Xiaochun Zhang
- Institute for Aging Research, Hebrew SeniorLife, 1200 Centre Street, Boston, MA, 02131, USA
| | - L Adrienne Cupples
- Biostatistics Department, Boston University School of Public Health, Boston, MA, USA
- The National Heart Lung and Blood Institute's Framingham Heart Study, Framingham, MA, USA
| | - Marian T Hannan
- Institute for Aging Research, Hebrew SeniorLife, 1200 Centre Street, Boston, MA, 02131, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
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