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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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Su Y, Zhou B, Kwok T. Fracture risk prediction in old Chinese people-a narrative review. Arch Osteoporos 2023; 19:3. [PMID: 38110842 DOI: 10.1007/s11657-023-01360-5] [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: 07/31/2023] [Accepted: 12/01/2023] [Indexed: 12/20/2023]
Abstract
With aging, the burden of osteoporotic fracture (OF) increases substantially, while China is expected to carry the greatest part in the future. The risk of fracture varies greatly across racial groups and geographic regions, and systematically organized evidence on the potential predictors for fracture risk is needed for Chinese. This review briefly introduces the epidemiology of OF and expands on the predictors and predictive tools for the risk of OF, as well as the challenges for their potential translation in the old Chinese population. There are regional differences of fracture incidence among China. The fracture incidences in Hong Kong and Taiwan have decreased in recent years, while it is still increasing in mainland China. Although the application of dual-energy X-ray absorptiometry (DXA) is limited among old Chinese in the mainland, bone mineral density (BMD) by DXA has a predictive value similar to that worldwide. Other non-DXA modalities, especially heel QUS, are helpful in assessing bone health. The fracture risk assessment tool (FRAX) has a good discrimination ability for OFs, especially the FRAX with BMD. And some clinical factors have added value to FRAX, which has been verified in old Chinese. In addition, although the application of the osteoporosis self-assessment tool for Asians (OSTA) in Chinese needs further validation, it may help identify high-risk populations in areas with limited resources. Moreover, the translation use of the muscle quality and genetic or serum biomarkers in fracture prediction needs further works. More applicable and targeted fracture risk predictors and tools are still needed for the old Chinese population.
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Affiliation(s)
- Yi Su
- Key Laboratory of Molecular Epidemiology of Hunan Province, School of Medicine, Hunan Normal University, Changsha, 410013, Hunan, China
| | - Bei Zhou
- Key Laboratory of Molecular Epidemiology of Hunan Province, School of Medicine, Hunan Normal University, Changsha, 410013, Hunan, China
| | - Timothy Kwok
- Department of Medicine & Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, SAR, China.
- Jockey Club Centre for Osteoporosis Care and Control, The Chinese University of Hong Kong, Hong Kong, SAR, China.
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Landgraff IK, Meyer HE, Ranhoff AH, Holvik K, Talsnes O, Myrstad M. Resting heart rate, self-reported physical activity in middle age, and long-term risk of hip fracture. A NOREPOS cohort study of 367,386 men and women. Bone 2023; 167:116620. [PMID: 36427775 DOI: 10.1016/j.bone.2022.116620] [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: 11/30/2021] [Revised: 10/18/2022] [Accepted: 11/17/2022] [Indexed: 11/24/2022]
Abstract
Enhanced knowledge regarding modifiable risk factors for hip fractures are warranted. We aimed to study the associations between two indicators of physical fitness (resting heart rate and level of physical activity) in middle-aged individuals, and the risk of hip fractures during the subsequent three decades. Data on objectively measured resting heart rate and self-reported leisure time physical activity from a national health survey (1985-1999) was linked to a database including all hip fractures treated in Norwegian hospitals from 1994 through 2018. We calculated hazard ratios (HR) with 95 % confidence intervals (95 % CI) for hip fractures according to categories of resting heart rate (mean of two repeated measures), and leisure time physical activity level in adjusted Cox proportional hazard models. In total, 367,386 persons (52 % women) aged 40 to 45 years were included, of whom 5482 persons sustained a hip fracture during a mean follow-up of 24.8 years. Higher resting heart rate was associated with higher hip fracture risk. Men with a resting heart rate above 80 bpm, who also reported low levels of physical activity, had a HR of 1.82 (95 % CI 1.49-2.22) for hip fracture compared to men with a resting heart rate below 70 bpm who reported high levels of physical activity. The same measure of association for women was 1.62 (95 % CI 1.28-2.06). Physical fitness measured by low resting heart rate in middle age, and a high physical activity level were associated with a lower long-term risk of hip fractures in both men and women.
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Affiliation(s)
- Ida Kalstad Landgraff
- Department of Internal Medicine, Bœrum Hospital, Vestre Viken Hospital Trust, Gjettum, Norway.
| | - Haakon E Meyer
- Department of Chronic Diseases and Ageing, Norwegian Institute of Public Health, Oslo, Norway; Department of Community Medicine and Global Health, University of Oslo, Oslo, Norway
| | - Anette Hylen Ranhoff
- Department of Chronic Diseases and Ageing, Norwegian Institute of Public Health, Oslo, Norway; Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Kristin Holvik
- Department of Chronic Diseases and Ageing, Norwegian Institute of Public Health, Oslo, Norway
| | - Ove Talsnes
- Department of Orthopedics, Innlandet Hospital Trust, Elverum, Norway
| | - Marius Myrstad
- Department of Internal Medicine, Bœrum Hospital, Vestre Viken Hospital Trust, Gjettum, Norway; Department of Medical Research, Bœrum Hospital, Vestre Viken Hospital Trust, Gjettum, Norway
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Chen FP, Lin YJ, Chao AS, Lin YC, Sung CM, Chen JF, Wong AMK. Utilizing nomograms to predict prevalent vertebral fracture risk: An analysis of dysmobility syndrome in a community-dwelling population. Biomed J 2022; 45:931-939. [PMID: 34801764 PMCID: PMC9795362 DOI: 10.1016/j.bj.2021.11.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Revised: 10/22/2021] [Accepted: 11/12/2021] [Indexed: 01/05/2023] Open
Abstract
BACKGROUND To determine a reliable method to predict prevalent vertebral fractures (VF) by assessing the association between dysmobility syndrome (DS) and VF in a community-dwelling population. METHODS This cross-sectional study enrolled 518 participants from fracture-prevention educational activities held in multiple communities in Taiwan. Assessments included questionnaires, fracture risk assessment tool (FRAX), bone mineral density (BMD) and body composition using dual-energy x-ray absorptiometry (DXA), lateral thoracolumbar spine x-rays (specifically T8-S1), grip strength (GS), walking speed, and fall history. RESULTS DS was noted in 257 participants (49.6%) and VF was identified in 196 participants (37.8%). A higher prevalence of VF was noted in those with DS. The prevalence of VF was significantly associated with age, gender, FRAX both with and without BMD, osteoporosis, low GS, and DS. In multivariate models accounting for age and sex, the c-index was greater in those with low GS plus osteoporosis as compared to DS alone. Low GS, osteoporosis, and pre-BMD FRAX all had similar c-indexes. Pre-BMD FRAX plus low GS and osteoporosis was superior in predicting VF compared to pre-BMD FRAX plus low GS or osteoporosis alone. Besides the inclusion of age and gender, the nomogram with pre-BMD FRAX major osteoporosis fracture probability (MOF) plus low GS had improved correlation between the estimated and actual VF probability than those with pre-BMD FRAX MOF plus osteoporosis. CONCLUSIONS The constructed nomogram containing pre-BMD FRAX MOF plus low GS may be considered as a first-line prevalent VF screening method. Those with high-risk scores should subsequently undergo vertebral radiography and/or BMD.
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Affiliation(s)
- Fang-Ping Chen
- Keelung Osteoporosis Prevention and Treatment Center, Chang Gung Memorial Hospital at Keelung, Keelung, Taiwan,Department of Medicine, College of Medicine, Chang Gung University, Taoyuan, Taiwan,Department of Obstetrics and Gynecology, Keelung Chang Gung Memorial Hospital at Keelung, Keelung, Taiwan,Corresponding author. Department of Obstetrics and Gynecology, Chang Gung Memorial Hospital at Keelung, 222 Mai-Chin Rd., Keelung 204, Taiwan.
| | - Yu-Jr Lin
- Research Service Center for Health Information, Chang Gung University, Taoyuan, Taiwan
| | - An-Shine Chao
- Keelung Osteoporosis Prevention and Treatment Center, Chang Gung Memorial Hospital at Keelung, Keelung, Taiwan,Department of Medicine, College of Medicine, Chang Gung University, Taoyuan, Taiwan,Department of Obstetrics and Gynecology, Keelung Chang Gung Memorial Hospital at Keelung, Keelung, Taiwan
| | - Yu-Ching Lin
- Keelung Osteoporosis Prevention and Treatment Center, Chang Gung Memorial Hospital at Keelung, Keelung, Taiwan,Department of Radiology, Keelung Chang Gung Memorial Hospital at Keelung, Keelung, Taiwan
| | - Chen-Ming Sung
- Department of Radiology, Keelung Chang Gung Memorial Hospital at Keelung, Keelung, Taiwan
| | - Jung-Fu Chen
- Keelung Osteoporosis Prevention and Treatment Center, Chang Gung Memorial Hospital at Keelung, Keelung, Taiwan,Department of Endocrinology and Metabolism, Osteoporosis Prevention and Treatment Center, Chang Gung Memorial Hospital at Kaohsiung, Kaohsiung, Taiwan
| | - Alice MK. Wong
- Department of Physical Medicine and Rehabilitation, Chang Gung Memorial Hospital at Taoyuan, Taoyuan, Taiwan,Healthy Aging Research Center, Chang Gung University, Taoyuan, Taiwan
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Harris RJ, Parimi N, Cawthon PM, Strotmeyer ES, Boudreau RM, Brach JS, Kwoh CK, Cauley JA. Associations of components of sarcopenia with risk of fracture in the Osteoporotic Fractures in Men (MrOS) study. Osteoporos Int 2022; 33:1815-1821. [PMID: 35380213 PMCID: PMC10011872 DOI: 10.1007/s00198-022-06390-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Accepted: 03/28/2022] [Indexed: 10/18/2022]
Abstract
Our aim was to evaluate the associations between the individual components of sarcopenia and fracture types. In this cohort, the risk of experiencing any clinical, hip, or major osteoporotic fracture is greater in men with slow walking speed in comparison to normal walking speed. INTRODUCTION The association between the components of sarcopenia and fractures has not been clearly elucidated and has hindered the development of appropriate therapeutic interventions. Our aim was to evaluate the associations between the individual components of sarcopenia, specifically lean mass, strength, and physical performance and fracture (any fracture, hip fracture, major osteoporotic fracture) in the Osteoporotic Fractures in Men (MrOS) study. METHODS The Osteoporotic Fractures in Men study (MrOS) recruited 5995 men ≥ 65 years of age. We measured appendicular lean mass (ALM) by dual-energy X-ray absorptiometry (low as residual value < 20th percentile for the cohort), walking speed (fastest trial of usual pace, values < 0.8 m/s were low), and grip strength (max score of 2 trials, values < 30 kg were low). Information on fractures was assessed tri-annually over an average follow-up of 12 years and centrally adjudicated. Cox proportional hazard models estimated the hazard ratio (HR) (95% confidence intervals) for slow walking speed, low grip strength, and low lean mass. RESULTS Overall, 1413 men had a fracture during follow-up. Slow walking speed was associated with an increased risk for any HR = 1.39, 1.05-1.84; hip HR = 2.37, 1.54-3.63; and major osteoporotic, HR = 1.89, 1.34-2.67 in multi-variate-adjusted models. Low lean mass and low grip strength were not significantly associated with fracture. CONCLUSIONS In this cohort of older adult men, the risk of experiencing any, hip, or major osteoporotic fracture is greater in men with slow walking speed in comparison to men with normal walking speed, but low grip strength and low lean mass were not associated with fracture.
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Affiliation(s)
- R J Harris
- Department of Epidemiology Graduate School of Public Health University of Pittsburgh, Pittsburgh, PA, USA.
- VA Boston Healthcare System, Boston, MA, USA.
| | - N Parimi
- Research Institute, California Pacific Medical Center, San Francisco, CA, USA
| | - P M Cawthon
- Research Institute, California Pacific Medical Center, San Francisco, CA, USA
| | - E S Strotmeyer
- Department of Epidemiology Graduate School of Public Health University of Pittsburgh, Pittsburgh, PA, USA
| | - R M Boudreau
- Department of Epidemiology Graduate School of Public Health University of Pittsburgh, Pittsburgh, PA, USA
| | - J S Brach
- Department of Physical Therapy, University of Pittsburgh, Pittsburgh, PA, USA
| | - C K Kwoh
- Department of Medicine, University of Arizona, Tucson, AZ, USA
| | - J A Cauley
- Department of Epidemiology Graduate School of Public Health University of Pittsburgh, Pittsburgh, PA, USA
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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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Kirk B, Duque G. Muscle and Bone: An Indissoluble Union. J Bone Miner Res 2022; 37:1211-1212. [PMID: 35764095 DOI: 10.1002/jbmr.4626] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Revised: 05/10/2022] [Accepted: 06/04/2022] [Indexed: 11/07/2022]
Affiliation(s)
- Ben Kirk
- Australian Institute for Musculoskeletal Science (AIMSS), Geroscience & Osteosarcopenia Research Program, The University of Melbourne and Western Health, St. Albans, VIC, Australia.,Department of Medicine-Western Health, The University of Melbourne, St. Albans, VIC, Australia
| | - Gustavo Duque
- Australian Institute for Musculoskeletal Science (AIMSS), Geroscience & Osteosarcopenia Research Program, The University of Melbourne and Western Health, St. Albans, VIC, Australia.,Department of Medicine-Western Health, The University of Melbourne, St. Albans, VIC, Australia
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8
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Askari M, Lotfi MH, Azimi M, Ostovarfar M, Fallahzadeh H, Mehrabbeik A, Hamedi A. Risk Factors of Osteoporosis in Females: A Hospital-Based Case-Control Study, Yazd, Iran. IRANIAN JOURNAL OF PUBLIC HEALTH 2022; 51:1371-1380. [PMID: 36447967 PMCID: PMC9659519 DOI: 10.18502/ijph.v51i6.9693] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 01/06/2021] [Accepted: 03/19/2021] [Indexed: 06/16/2023]
Abstract
BACKGROUND The aim of this study was to evaluate the predictors of osteoporosis in women in Yazd, Iran. METHODS This hospital-based case-control study was performed on 270 women 35-65 yr old (135 case and 135 control) from Mar 2016 to Mar 2017. Case and control were matched in terms of age ± 2 (year) as a group matching. Osteoporosis is defined as a T-score of bone mineral density (BMD) below -2.5 SD. Data were analyzed using SPSS 20 software. Statistical tests included chi-square, student t test and Mann Whitney test .Multiple logistic regression (MLR) which forward method was used for modeling. RESULTS Odds ratio (OR) of osteoprosis were menarche age>12 yr (OR=3.37, CI:2.29-15.89), history of hysterectomy (OR=13, CI:3.81-44.82), rheumatoid arthritis (RA) (OR=6.58, CI:2.29-18.91) calcium supplements (OR=0.14, CI:0.04-0.41), menopause age <40 (OR=11.84, CI:1.54-90), second smoking (OR=3.38, CI:1.16-9.81) and increase of weight (OR=0.86, CI:0.80-0.94). CONCLUSION Predictors of osteoporosis was menarche age >12 yr (3 times), history of hysterectomy (13 times), RA (6.5 times), menopause age <40 (12 times), second smoking (more than 3 times), calcium supplements and weight (protective).
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Affiliation(s)
- Maryam Askari
- Genetic and Environmental Adventures Research Center, School of Abarkouh Paramedicine, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
- Diabetes Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
| | - Mohammad Hassan Lotfi
- Department of Biostatistics and Epidemiology, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
| | - Mohammad Azimi
- Department of Occupational Health, School of Paramedicine, Shahid Sadoughi University of Medical Sciences, Abarkouh, Yazd, Iran
| | - Maral Ostovarfar
- Department of Biostatistics and Epidemiology, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
| | - Hossein Fallahzadeh
- Research Center of Prevention and Epidemiology of Non-Communicable Disease, Departments of Biostatistics Nand Epidemiology, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
| | - Akram Mehrabbeik
- Genetic and Environmental Adventures Research Center, School of Abarkouh Paramedicine, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
| | - Andishe Hamedi
- Faculty of Epidemiology & Biostatistics, Imam Khomeini Hospital, North Khorasan University of Medical Sciences, Bojnurd, Iran
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9
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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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10
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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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11
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Hruby A, Jacques PF. Protein Intake and Human Health: Implications of Units of Protein Intake. Adv Nutr 2021; 12:71-88. [PMID: 32879937 PMCID: PMC7850043 DOI: 10.1093/advances/nmaa097] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Revised: 07/14/2020] [Accepted: 07/27/2020] [Indexed: 02/07/2023] Open
Abstract
Understanding the health effects of protein intake is bedeviled by a number of factors, including protein quality and source. In addition, different units, including grams, grams per kilogram body weight (g/kg BW), and percent energy, may contribute to confusion about protein's effects on health, especially BW-based units in increasingly obese populations. We aimed to review the literature and to conduct a modeling demonstration of various units of protein intake in relation to markers of cardiometabolic health. Data from the Framingham Heart Study Offspring (n = 1847; 60.3 y; 62.5% women) and Third Generation (n = 2548; 46.2 y; 55.3% women) cohorts and the NHANES 2003-04 (n = 1625; 46.2 y; 49.7% women) and 2005-06 (n = 1347; 43.7 y; 49.5% women) cycles were used to model cross-sectional associations between 7 protein units (grams, percent energy, g/kg ideal BW, g/kg actual BW, BW-adjusted g/kg actual BW, g/kg lean BW, and g/kg fat-free BW) and 9 cardiometabolic outcomes (fasting glucose, systolic and diastolic blood pressure, total and HDL cholesterol, triglycerides, BMI, waist circumference, and estimated glomerular filtration rate). The literature review indicated the use of myriad units of protein intake, with differential results on cardiometabolic outcomes. The modeling demonstration showed units expressed in BW were confounded by BW, irrespective of outcome. Units expressed in grams, percent energy, and ideal BW showed similar results, with or without adjustment for body size. After adjusting for BW, results of units expressed in BW aligned with results of grams, percent energy, and ideal BW. In conclusion, protein intake in cardiometabolic health appears to depend on protein's unit of expression. Authors should be specific about the use of WHO (g/kg ideal BW) compared with US (g/kg actual BW) units, and ideally use gram or percent energy in observational studies. In populations where overweight/obesity are prevalent, intake based on actual BW should be reevaluated.
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Affiliation(s)
- Adela Hruby
- Tufts University Friedman School of Nutrition Science and Policy, Boston, MA, USA
- Tufts University School of Medicine, Department of Public Health and Community Medicine, Boston, MA, USA
| | - Paul F Jacques
- Tufts University Friedman School of Nutrition Science and Policy, Boston, MA, USA
- Nutritional Epidemiology, Jean Mayer US Department of Agriculture Human Nutrition Research Center on Aging at Tufts University, Boston, MA, USA
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12
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Cumulative and Incremental Value of Sarcopenia Components on Predicting Adverse Outcomes. J Am Med Dir Assoc 2020; 21:1481-1489.e3. [DOI: 10.1016/j.jamda.2020.05.056] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2019] [Revised: 05/19/2020] [Accepted: 05/25/2020] [Indexed: 12/27/2022]
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13
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Su Y, Lam FMH, Leung J, Cheung WH, Ho SC, Kwok T. The Predictive Value of Sarcopenia and Falls for 2-Year Major Osteoporotic Fractures in Community-Dwelling Older Adults. Calcif Tissue Int 2020; 107:151-159. [PMID: 32472390 PMCID: PMC7382674 DOI: 10.1007/s00223-020-00709-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2019] [Accepted: 05/19/2020] [Indexed: 12/26/2022]
Abstract
To evaluate the associations of sarcopenia and previous falls with 2-year major osteoporotic fractures (MOFs) in community-dwelling older adults. Four thousand Chinese men and women ≥ 65 years recruited from Hong Kong communities were prospectively followed up. Measures of muscle mass, grip strength, gait speed and falls in the previous year were recorded at baseline, the 2nd year and the 4th year visit for each subject. The associations of fall history, sarcopenia and its components with 2-year MOFs were evaluated using generalized linear mixed models. Poor grip strength and poor gait speed were significantly associated with a higher 2-year MOFs risk, with an adjusted OR (95% CI) per one SD decrease of 1.48 (1.17, 1.87) and 1.17 (1.00, 1.36), respectively. Falls in the previous year was a significant predictor for 2-year MOFs risk, with an adjusted OR (95% CI) per one added fall of 1.85 (1.40, 2.44) in men and 1.26 (1.01, 1.58) in women. The adjusted OR (95% CI) of height adjusted appendicular lean muscle mass (ALM/height2) per one SD decrease and sarcopenia for 2-year MOFs risk were 1.34 (0.87, 2.06) and 1.72 (0.92, 3.21) in men, and were 0.73 (0.57, 0.93) and 0.76 (0.39, 1.47) in women, respectively (P for interaction by gender = 0.012 and 0.017, respectively). Poor sarcopenia-related physical performance and falls in the previous year were significant predictors for 2-year MOFs in community-dwelling older adults. The predictive value of ALM by DXA for near-term fracture risk is limited and different across genders.
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Affiliation(s)
- Yi Su
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Freddy M H Lam
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Jason Leung
- Jockey Club Centre for Osteoporosis Care and Control, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Wing-Hoi Cheung
- Musculoskeletal Research Laboratory, Department of Orthopaedics and Traumatology, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Suzanne C Ho
- Division of Epidemiology, The Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Timothy Kwok
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China.
- Jockey Club Centre for Osteoporosis Care and Control, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China.
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14
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Leslie WD, Schousboe JT, Morin SN, Martineau P, Lix LM, Johansson H, McCloskey EV, Harvey NC, Kanis JA. Loss in DXA-estimated total body lean mass but not fat mass predicts incident major osteoporotic fracture and hip fracture independently from FRAX: a registry-based cohort study. Arch Osteoporos 2020; 15:96. [PMID: 32588147 PMCID: PMC7115892 DOI: 10.1007/s11657-020-00773-w] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/24/2020] [Accepted: 06/19/2020] [Indexed: 02/07/2023]
Abstract
UNLABELLED During median follow-up 6.0 years in 9622 individuals, prior loss in estimated total body lean mass (TBLM), but not total body fat mass loss (TBFM), was associated with increased fracture risk, particularly for hip fracture. INTRODUCTION Weight loss, and especially muscle loss, adversely affects skeletal health. The FRAX® tool considers baseline body mass index, but not body composition nor changes in its components over time. Our aim was to compare the independent associations between prior loss in DXA-estimated TBLM and TBFM and subsequent fracture risk. METHODS We identified women and men age 40 years or older with two DXA assessments at least 1 year apart (median interval 3.3 years). TBLM and TBFM were estimated from weight, sex, and DXA of the spine and hip. Incident fractures and deaths were ascertained from linked population-based health service data after the date of the second DXA. Hazard ratios (HRs) from Cox regression models were used to study time to fracture from prior loss in TBLM and TBFM adjusted for FRAX-related covariates. RESULTS The study population consisted of 9622 individuals (mean age 67 [SD 10] years, 95% female). We identified 692 subjects with incident major osteoporotic fracture [MOF] and 194 with hip fracture. Mean TBLM loss was significantly greater in those with incident MOF and hip fracture (P < 0.001) while TBFM loss was only significantly greater in those with incident hip fracture (P < 0.001). Each SD greater TBLM loss was associated with 10-13% increased MOF risk and 29-38% increased hip fracture risk, adjusted for TBFM loss and other covariates. Prior TBFM loss was not associated with fractures when adjusted for TBLM loss. CONCLUSIONS Prior loss in total body lean mass, but not in fat mass, is associated with increased fracture risk, particularly hip fracture, independent of other risk factors. This is consistent with the hypothesis that muscle loss (sarcopenia) adversely impacts skeletal health and fracture risk.
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Affiliation(s)
| | - John T. Schousboe
- Park Nicollet Clinic & HealthPartners Institute, Minneapolis, US,University of Minnesota, Minneapolis, US
| | | | | | | | - Helena Johansson
- Centre for Metabolic Bone Diseases, University of Sheffield Medical School, UK,Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
| | - Eugene V. McCloskey
- Centre for Metabolic Bone Diseases, University of Sheffield Medical School, UK,Centre for Integrated Research in Musculoskeletal Ageing (CIMA), Mellanby Centre for Bone Research, University of Sheffield, Sheffield, UK
| | - 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
| | - John A. Kanis
- Centre for Metabolic Bone Diseases, University of Sheffield Medical School, UK,Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
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15
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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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16
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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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17
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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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18
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Harvey NC, Odén A, Orwoll E, Lapidus J, Kwok T, Karlsson MK, Rosengren BE, Ribom E, Cooper C, Cawthon PM, Kanis JA, Ohlsson C, Mellström D, Johansson H, McCloskey E. Measures of Physical Performance and Muscle Strength as Predictors of Fracture Risk Independent of FRAX, Falls, and aBMD: A Meta-Analysis of the Osteoporotic Fractures in Men (MrOS) Study. J Bone Miner Res 2018; 33:2150-2157. [PMID: 30011086 PMCID: PMC6272117 DOI: 10.1002/jbmr.3556] [Citation(s) in RCA: 79] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/20/2018] [Revised: 06/23/2018] [Accepted: 07/07/2018] [Indexed: 11/17/2022]
Abstract
Measures of muscle mass, strength, and function predict risk of incident fractures, but it is not known whether this risk information is additive to that from FRAX (fracture risk assessment tool) probability. In the Osteoporotic Fractures in Men (MrOS) Study cohorts (Sweden, Hong Kong, United States), we investigated whether measures of physical performance/appendicular lean mass (ALM) by DXA predicted incident fractures in older men, independently of FRAX probability. Baseline information included falls history, clinical risk factors for falls and fractures, femoral neck aBMD, and calculated FRAX probabilities. An extension of Poisson regression was used to investigate the relationship between time for five chair stands, walking speed over a 6 m distance, grip strength, ALM adjusted for body size (ALM/height2 ), FRAX probability (major osteoporotic fracture [MOF]) with or without femoral neck aBMD, available in a subset of n = 7531), and incident MOF (hip, clinical vertebral, wrist, or proximal humerus). Associations were adjusted for age and time since baseline, and are reported as hazard ratios (HRs) for first incident fracture per SD increment in predictor using meta-analysis. 5660 men in the United States (mean age 73.5 years), 2764 men in Sweden (75.4 years), and 1987 men in Hong Kong (72.4 years) were studied. Mean follow-up time was 8.7 to 10.9 years. Greater time for five chair stands was associated with greater risk of MOF (HR 1.26; 95% CI, 1.19 to 1.34), whereas greater walking speed (HR 0.85; 95% CI, 0.79 to 0.90), grip strength (HR 0.77; 95% CI, 0.72 to 0.82), and ALM/height2 (HR 0.85; 95% CI, 0.80 to 0.90) were associated with lower risk of incident MOF. Associations remained largely similar after adjustment for FRAX, but associations between ALM/height2 and MOF were weakened (HR 0.92; 95% CI, 0.85 to 0.99). Inclusion of femoral neck aBMD markedly attenuated the association between ALM/height2 and MOF (HR 1.02; 95% CI, 0.96 to 1.10). Measures of physical performance predicted incident fractures independently of FRAX probability. Whilst the predictive value of ALM/height2 was substantially reduced by inclusion of aBMD requires further study, these findings support the consideration of physical performance in fracture risk assessment. © 2018 The Authors. Journal of Bone and Mineral Research Published by Wiley Periodicals Inc.
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Affiliation(s)
- Nicholas C Harvey
- Medical Research Council (MRC) Lifecourse Epidemiology UnitUniversity of SouthamptonSouthamptonUK
- National Institute for Health Research (NIHR) Southampton Biomedical Research Centre, University of Southamptonand University Hospital Southampton NHS Foundation TrustSouthamptonUK
| | - Anders Odén
- Centre for Bone and Arthritis Research (CBAR)Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
- Centre for Metabolic Bone DiseasesUniversity of SheffieldSheffieldUK
| | - Eric Orwoll
- Oregon Health & Science UniversityPortlandORUSA
| | - Jodi Lapidus
- Department of Public Health and Preventive MedicineDivision of BiostatisticsOregon Health and Science UniversityPortlandORUSA
| | - Timothy Kwok
- Department of Medicine & Therapeutics and School of Public HealthThe Chinese University of Hong KongHong KongThe People's Republic of China
| | - Magnus K Karlsson
- Clinical and Molecular Osteoporosis Research UnitLund University, Lund, Sweden; and Department of OrthopedicsSkane University HospitalMalmöSweden
| | - Björn E Rosengren
- Clinical and Molecular Osteoporosis Research UnitLund University, Lund, Sweden; and Department of OrthopedicsSkane University HospitalMalmöSweden
| | - Eva Ribom
- Department of Surgical SciencesUniversity of UppsalaUppsalaSweden
| | - Cyrus Cooper
- Medical Research Council (MRC) Lifecourse Epidemiology UnitUniversity of SouthamptonSouthamptonUK
- National Institute for Health Research (NIHR) Southampton Biomedical Research Centre, University of Southamptonand University Hospital Southampton NHS Foundation TrustSouthamptonUK
- National Institute for Health Research (NIHR) Biomedical Research CentreUniversity of OxfordOxfordUK
| | - Peggy M Cawthon
- Research InstituteCalifornia Pacific Medical CenterSan FranciscoCAUSA
- Department of Epidemiology and BiostatisticsUniversity of California–San FranciscoSan FranciscoCAUSA
| | - John A Kanis
- Centre for Metabolic Bone DiseasesUniversity of SheffieldSheffieldUK
- Institute for Health and AgingCatholic University of AustraliaMelbourneAustralia
| | - Claes Ohlsson
- Centre for Bone and Arthritis Research (CBAR)Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
| | - Dan Mellström
- Centre for Bone and Arthritis Research (CBAR)Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
| | - Helena Johansson
- Centre for Bone and Arthritis Research (CBAR)Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
- Centre for Metabolic Bone DiseasesUniversity of SheffieldSheffieldUK
- Institute for Health and AgingCatholic University of AustraliaMelbourneAustralia
| | - Eugene McCloskey
- Centre for Metabolic Bone DiseasesUniversity of SheffieldSheffieldUK
- Centre for Integrated Research in Musculoskeletal Ageing (CIMA)Mellanby Centre for Bone ResearchUniversity of SheffieldSheffieldUK
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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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20
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Dent E, Morley JE, Cruz-Jentoft AJ, Arai H, Kritchevsky SB, Guralnik J, Bauer JM, Pahor M, Clark BC, Cesari M, Ruiz J, Sieber CC, Aubertin-Leheudre M, Waters DL, Visvanathan R, Landi F, Villareal DT, Fielding R, Won CW, Theou O, Martin FC, Dong B, Woo J, Flicker L, Ferrucci L, Merchant RA, Cao L, Cederholm T, Ribeiro SML, Rodríguez-Mañas L, Anker SD, Lundy J, Gutiérrez Robledo LM, Bautmans I, Aprahamian I, Schols JMGA, Izquierdo M, Vellas B. International Clinical Practice Guidelines for Sarcopenia (ICFSR): Screening, Diagnosis and Management. J Nutr Health Aging 2018; 22:1148-1161. [PMID: 30498820 DOI: 10.1007/s12603-018-1139-9] [Citation(s) in RCA: 616] [Impact Index Per Article: 88.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
OBJECTIVES Sarcopenia, defined as an age-associated loss of skeletal muscle function and muscle mass, occurs in approximately 6 - 22 % of older adults. This paper presents evidence-based clinical practice guidelines for screening, diagnosis and management of sarcopenia from the task force of the International Conference on Sarcopenia and Frailty Research (ICSFR). METHODS To develop the guidelines, we drew upon the best available evidence from two systematic reviews paired with consensus statements by international working groups on sarcopenia. Eight topics were selected for the recommendations: (i) defining sarcopenia; (ii) screening and diagnosis; (iii) physical activity prescription; (iv) protein supplementation; (v) vitamin D supplementation; (vi) anabolic hormone prescription; (vii) medications under development; and (viii) research. The ICSFR task force evaluated the evidence behind each topic including the quality of evidence, the benefit-harm balance of treatment, patient preferences/values, and cost-effectiveness. Recommendations were graded as either strong or conditional (weak) as per the GRADE (Grading of Recommendations Assessment, Development and Evaluation) approach. Consensus was achieved via one face-to-face workshop and a modified Delphi process. RECOMMENDATIONS We make a conditional recommendation for the use of an internationally accepted measurement tool for the diagnosis of sarcopenia including the EWGSOP and FNIH definitions, and advocate for rapid screening using gait speed or the SARC-F. To treat sarcopenia, we strongly recommend the prescription of resistance-based physical activity, and conditionally recommend protein supplementation/a protein-rich diet. No recommendation is given for Vitamin D supplementation or for anabolic hormone prescription. There is a lack of robust evidence to assess the strength of other treatment options.
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Affiliation(s)
- E Dent
- Dr. Elsa Dent, , Torrens University Australia, Wakefield Street, Adelaide, SA, Australia
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