51
|
Leslie WD, Morin SN, Lix LM, Martineau P, Bryanton M, McCloskey EV, Johansson H, Harvey NC, Kanis JA. Fracture prediction from self-reported falls in routine clinical practice: a registry-based cohort study. Osteoporos Int 2019; 30:2195-2203. [PMID: 31372711 DOI: 10.1007/s00198-019-05106-3] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/28/2019] [Accepted: 07/21/2019] [Indexed: 11/30/2022]
Abstract
A simple question construct regarding number of falls in the previous year, ascertained by a single question, was strongly associated with incident fractures in routine clinical practice using a population-based dual-energy X-ray absorptiometry (DXA) registry. INTRODUCTION There is conflicting evidence from research cohorts that falls independently increase fracture risk. We examined the independent effects of falls on subsequent fractures in a large clinical registry of bone mineral density (BMD) results for the Province of Manitoba, Canada that has been systematically collecting self-reported falls information since September 1, 2012. METHODS The study population consisted of 24,943 women and men aged 40 years and older (mean age 65.5 ± 10.2 years) with fracture probability assessment (FRAX), self-reported falls for the previous year (categorized as none, 1, 2, or > 3) and fracture outcomes. Adjusted hazard ratios (HR) with 95 confidence intervals (CI) for time to fracture were estimated using Cox proportional hazards models. RESULTS During mean observation time of 2.7 ± 1.0 years, 863 (3.5%) sustained one or more major osteoporotic fractures (MOF), 212 (0.8%) sustained a hip fracture, and 1210 (4.9%) sustained any incident fracture. Compared with no falls in the previous year (referent), there was a gradient of increasing risk for fracture with increasing number of falls (all P < 0.001). Results showed minimal attenuation with covariate adjustment. When adjusted for baseline fracture probability (FRAX score with BMD) the HR for MOF increased from 1.49 (95% CI 1.25-1.78) for one fall to 1.74 (1.33-2.27) for two falls to 2.62 (2.06-3.34) for ≥ 3 falls. HRs were similar for any incident fracture and slightly greater for prediction of hip fracture, reaching 3.41 (95% CI 2.19-5.31) for ≥ 3 previous falls. CONCLUSIONS Self-report number of falls in the previous year is strongly associated with incident fracture risk in the routine clinical practice setting, and this risk is independent of age, sex, BMD, and baseline fracture probability. Moreover, there is dose-response with multiple falls (up to a maximum of 3) conferring greater risk than a single fall.
Collapse
Affiliation(s)
- W D Leslie
- Department of Medicine (C5121), University of Manitoba, 409 Tache Avenue, Winnipeg, MB, R2H 2A6, Canada.
| | | | - L M Lix
- Department of Medicine (C5121), University of Manitoba, 409 Tache Avenue, Winnipeg, MB, R2H 2A6, Canada
| | - P Martineau
- Department of Medicine (C5121), University of Manitoba, 409 Tache Avenue, Winnipeg, MB, R2H 2A6, Canada
- Harvard Medical School, Boston, MA, USA
| | - M Bryanton
- Department of Medicine (C5121), University of Manitoba, 409 Tache Avenue, Winnipeg, MB, R2H 2A6, Canada
| | - E V McCloskey
- Centre for Metabolic Bone Diseases, University of Sheffield Medical School, Sheffield, UK
| | - H Johansson
- Centre for Metabolic Bone Diseases, University of Sheffield Medical School, Sheffield, UK
- Mary McKillop Health Institute, Australian Catholic University, Melbourne, Australia
| | - N 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
| | - J A Kanis
- Centre for Metabolic Bone Diseases, University of Sheffield Medical School, Sheffield, UK
- Mary McKillop Health Institute, Australian Catholic University, Melbourne, Australia
| |
Collapse
|
52
|
Zhang M, Gong H, Zhang K, Zhang M. Prediction of lumbar vertebral strength of elderly men based on quantitative computed tomography images using machine learning. Osteoporos Int 2019; 30:2271-2282. [PMID: 31401661 DOI: 10.1007/s00198-019-05117-0] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2018] [Accepted: 07/30/2019] [Indexed: 02/07/2023]
Abstract
UNLABELLED The parameters extracted from quantitative computed tomography (QCT) images were used to predict vertebral strength through machine learning models, and the highly accurate prediction indicated that it may be a promising approach to assess fracture risk in clinics. INTRODUCTION Vertebral fracture is common in elderly populations. The main factor contributing to vertebral fracture is the reduced vertebral strength. This study aimed to predict vertebral strength based on clinical QCT images by using machine learning. METHODS Eighty subjects with QCT data of lumbar spine were randomly selected from the MrOS cohorts. L1 vertebral strengths were computed by QCT-based finite element analysis. A total of 58 features of each L1 vertebral body were extracted from QCT images, including grayscale distribution, grayscale values of 39 partitioned regions, BMDQCT, structural rigidity, axial rigidity, and BMDQCTAmin. Feature selection and dimensionality reduction were used to simplify the 58 features. General regression neural network and support vector regression models were developed to predict vertebral strength. Performance of prediction models was quantified by the mean squared error, the coefficient of determination, the mean bias, and the SD of bias. RESULTS The 58 parameters were simplified to five features (grayscale value of the 60% percentile, grayscale values of three specific partitioned regions, and BMDQCTAmin) and nine principal components (PCs). High accuracy was achieved by using the five features or the nine PCs to predict vertebral strength. CONCLUSIONS This study provided an effective approach to predict vertebral strength and showed that it may have great potential in clinical applications for noninvasive assessment of vertebral fracture risk.
Collapse
Affiliation(s)
- M Zhang
- Department of Engineering Mechanics, Jilin University, Nanling Campus, Changchun, 130025, People's Republic of China
| | - H Gong
- Department of Engineering Mechanics, Jilin University, Nanling Campus, Changchun, 130025, People's Republic of China.
| | - K Zhang
- Department of Engineering Mechanics, Jilin University, Nanling Campus, Changchun, 130025, People's Republic of China
| | - M Zhang
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Hum, Kowloon, Hong Kong SAR, People's Republic of China
| |
Collapse
|
53
|
Secondary fracture prevention: Drug treatment, fall prevention and nutrition requirements. Best Pract Res Clin Rheumatol 2019; 33:290-300. [PMID: 31547984 DOI: 10.1016/j.berh.2019.04.005] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
In view of the high imminent risk for subsequent fractures, evaluation as early as possible after the fracture will result in early decisions about drug treatment, fall prevention and nutritional supplements. Drug treatment includes anti-resorptive and bone forming agents. Anti-resorptive therapy with broad spectrum fracture prevention and early anti-fracture effects are the first choice. In patients with multiple or severe VFs, the bone forming agent teriparatide should be considered. Adequate calcium and vitamin D are needed in all patients, together with appropriate nutrition, including adequate protein intake.
Collapse
|
54
|
Cauley JA, Hovey KM, Stone KL, Andrews CA, Barbour KE, Hale L, Jackson RD, Johnson KC, LeBlanc ES, Li W, Zaslavsky O, Ochs-Balcom H, Wactawski-Wende J, Crandall CJ. Characteristics of Self-Reported Sleep and the Risk of Falls and Fractures: The Women's Health Initiative (WHI). J Bone Miner Res 2019; 34:464-474. [PMID: 30461066 PMCID: PMC6563041 DOI: 10.1002/jbmr.3619] [Citation(s) in RCA: 44] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/09/2018] [Revised: 10/10/2018] [Accepted: 10/18/2018] [Indexed: 01/13/2023]
Abstract
Sleep disturbances are common and may influence falls and fracture directly by influencing bone turnover and muscle strength or indirectly through high comorbidity or poor physical function. To investigate the association between self-reported sleep and falls and fractures, we prospectively studied 157,306 women in the Women's Health Initiative (WHI) using information on sleep quality, sleep duration, and insomnia from questionnaires. Annual self-report of falling two or more times (ie, "recurrent falling") during each year of follow-up was modeled with repeated measures logistic regression models fit by generalized estimating equations. Cox proportional hazards models were used to investigate sleep disturbance and time to first fracture. We examined the risks of recurrent falls and fracture by sleep duration with 7 hours as referent. We examined the risks across categories of sleep disturbance, insomnia status, and sleep quality. The average follow-up time was 7.6 years for falls and 12.0 years for fractures. In multivariable adjusted models, including adjustment for comorbidity, medications, and physical function, women who were short (≤5 hours) and long (≥10 hours) sleepers had increased odds of recurrent falls (odds ratio [OR] 1.28; 95% confidence interval [CI], 1.23 to 1.34 and OR 1.25; 95% CI, 1.09 to 1.43, respectively). Poor sleep quality, insomnia, and more sleep disturbances were also associated with an increased odds of recurrent falls. Short sleep was associated with an increased risk of all fractures, and upper limb, lower limb, and central body fractures, but not hip fractures, with hazard ratios ranging from 1.10 to 1.13 (p < 0.05). There was little association between other sleep characteristics and fracture. In conclusion, short and long sleep duration and poor sleep quality were independently associated with increased odds of recurrent falls. Short sleep was associated with modest increase in fractures. Future long-term trials of sleep interventions should include falls and fractures as endpoints. © 2018 American Society for Bone and Mineral Research.
Collapse
Affiliation(s)
- Jane A Cauley
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Kathleen M Hovey
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Katie L Stone
- Research Institute, California Pacific Medical Center, San Francisco, CA, USA.,Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
| | - Chris A Andrews
- Department of Ophthalmology and Visual Sciences, Medical School, University of Michigan, Ann Arbor, MI, USA
| | - Kamil E Barbour
- Division of Population Health, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Lauren Hale
- Department of Family, Population and Preventive Medicine, Stony Brook University, Stony Brook, NY, USA.,Program in Public Health, Department of Family, Population, and Preventive Medicine, Stony Brook Medicine, Stony Brook, NY, USA
| | - Rebecca D Jackson
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, The Ohio State University, Columbus, OH, USA
| | - Karen C Johnson
- Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Erin S LeBlanc
- Kaiser Permanente Center for Health Research, Portland, OR, USA
| | - Wenjun Li
- Division of Preventive and Behavioral Medicine, Department of Medicine, University of Massachusetts Medical School, Worcester, MA, USA
| | - Oleg Zaslavsky
- Department of Biobehavioral Nursing and Health Informatics, University of Washington School of Nursing, Seattle, WA, USA
| | - Heather Ochs-Balcom
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Jean Wactawski-Wende
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Carolyn J Crandall
- David Geffen School of Medicine, Department of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| |
Collapse
|
55
|
Abstract
Fractures resulting from osteoporosis become increasingly common in women after age 55 years and men after age 65 years, resulting in substantial bone-associated morbidities, and increased mortality and health-care costs. Research advances have led to a more accurate assessment of fracture risk and have increased the range of therapeutic options available to prevent fractures. Fracture risk algorithms that combine clinical risk factors and bone mineral density are now widely used in clinical practice to target high-risk individuals for treatment. The discovery of key pathways regulating bone resorption and formation has identified new approaches to treatment with distinctive mechanisms of action. Osteoporosis is a chronic condition and long-term, sometimes lifelong, management is required. In individuals at high risk of fracture, the benefit versus risk profile is likely to be favourable for up to 10 years of treatment with bisphosphonates or denosumab. In people at a very high or imminent risk of fracture, therapy with teriparatide or abaloparatide should be considered; however, since treatment duration with these drugs is restricted to 18-24 months, treatment should be continued with an antiresorptive drug. Individuals at high risk of fractures do not receive adequate treatment and strategies to address this treatment gap-eg, widespread implementation of Fracture Liaison Services and improvement of adherence to therapy-are important challenges for the future.
Collapse
Affiliation(s)
| | - Michael R McClung
- Department of Medicine, Oregon Health and Science University, Portland, OR, USA; Mary MacKillop Institute for Health, Australian Catholic University, Melbourne, VIC, Australia
| | - William D Leslie
- Department of Internal Medicine, University of Manitoba, Winnipeg, MB, Canada
| |
Collapse
|
56
|
Kanis JA, Cooper C, Rizzoli R, Reginster JY. European guidance for the diagnosis and management of osteoporosis in postmenopausal women. Osteoporos Int 2019; 30:3-44. [PMID: 30324412 PMCID: PMC7026233 DOI: 10.1007/s00198-018-4704-5] [Citation(s) in RCA: 898] [Impact Index Per Article: 179.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2018] [Accepted: 09/12/2018] [Indexed: 12/25/2022]
Abstract
Guidance is provided in a European setting on the assessment and treatment of postmenopausal women at risk from fractures due to osteoporosis. INTRODUCTION The International Osteoporosis Foundation and European Society for Clinical and Economic Aspects of Osteoporosis and Osteoarthritis published guidance for the diagnosis and management of osteoporosis in 2013. This manuscript updates these in a European setting. METHODS Systematic reviews were updated. RESULTS The following areas are reviewed: the role of bone mineral density measurement for the diagnosis of osteoporosis and assessment of fracture risk; general and pharmacological management of osteoporosis; monitoring of treatment; assessment of fracture risk; case-finding strategies; investigation of patients; health economics of treatment. The update includes new information on the evaluation of bone microstructure evaluation in facture risk assessment, the role of FRAX® and Fracture Liaison Services in secondary fracture prevention, long-term effects on fracture risk of dietary intakes, and increased fracture risk on stopping drug treatment. CONCLUSIONS A platform is provided on which specific guidelines can be developed for national use.
Collapse
Affiliation(s)
- J A Kanis
- Centre for Metabolic Bone Diseases, University of Sheffield Medical School, Beech Hill Road, Sheffield, S10 2RX, UK.
- Mary McKillop Health Institute, Australian Catholic University, Melbourne, Australia.
| | - C Cooper
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- NIHR Musculoskeletal Biomedical Research Unit, University of Oxford, Oxford, UK
| | - R Rizzoli
- University Hospitals and Faculty of Medicine of Geneva, Geneva, Switzerland
| | - J-Y Reginster
- Department of Public Health, Epidemiology and Health Economics, University of Liège, Liège, Belgium
- Prince Mutaib Chair for Biomarkers of Osteoporosis, Biochemistry Department, College of Science, King Saud University, Riyadh, Kingdom of Saudi Arabia
| |
Collapse
|
57
|
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: 71] [Impact Index Per Article: 11.8] [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.
Collapse
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
| |
Collapse
|
58
|
Hearing impairment increases the risk of distal radius, hip, and spine fractures: A longitudinal follow-up study using a national sample cohort. PLoS One 2018; 13:e0192820. [PMID: 29438391 PMCID: PMC5811044 DOI: 10.1371/journal.pone.0192820] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2017] [Accepted: 01/23/2018] [Indexed: 02/02/2023] Open
Abstract
Objective Hearing impairment has been suggested to increase the risk of falls. However, most previous studies were conducted in an older population without classification of the fracture regions. This study aimed to delineate the risk of each fracture type in all age populations. Methods The Korean National Health Insurance Service-National Sample Cohort was collected from 2002 to 2013. A total of 4,854 severe hearing-impaired and 1,354 profound hearing-impaired participants were matched for age, group, sex, income group, and region of residence with 19,416 and 5,416 control participants, respectively. The fracture diagnosis was based on the International Classification of Disease (ICD-10) codes as follows: distal radius fracture (S525), hip fracture (S720, S721, S722), and spine fracture (S220, S32). Crude (simple) and adjusted hazard ratios (HRs) for each fracture associated with severe or profound hearing impairment were analyzed using the Cox proportional hazard model. Results The severe hearing-impaired group had an increased risk of distal radius fracture, hip fracture, and spine fracture compared with the control group (adjusted HR = 1.67, 95% CI = 1.38–2.03, P < 0.001 for hip fracture). The profound hearing-impaired group had an increased risk of hip and spine fracture (adjusted HR = 2.21, 95% CI = 1.44–3.39, P < 0.001 for hip fracture). Conclusion The risk of distal radius fracture, hip fracture, and spine fracture was increased in the severe hearing-impaired group compared with the control group.
Collapse
|