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Vandenput L, Johansson H, McCloskey EV, Liu E, Åkesson KE, Anderson FA, Azagra R, Bager CL, Beaudart C, Bischoff-Ferrari HA, Biver E, Bruyère O, Cauley JA, Center JR, Chapurlat R, Christiansen C, Cooper C, Crandall CJ, Cummings SR, da Silva JAP, Dawson-Hughes B, Diez-Perez A, Dufour AB, Eisman JA, Elders PJM, Ferrari S, Fujita Y, Fujiwara S, Glüer CC, Goldshtein I, Goltzman D, Gudnason V, Hall J, Hans D, Hoff M, Hollick RJ, Huisman M, Iki M, Ish-Shalom S, Jones G, Karlsson MK, Khosla S, Kiel DP, Koh WP, Koromani F, Kotowicz MA, Kröger H, Kwok T, Lamy O, Langhammer A, Larijani B, Lippuner K, Mellström D, Merlijn T, Nordström A, Nordström P, O'Neill TW, Obermayer-Pietsch B, Ohlsson C, Orwoll ES, Pasco JA, Rivadeneira F, Schei B, Schott AM, Shiroma EJ, Siggeirsdottir K, Simonsick EM, Sornay-Rendu E, Sund R, Swart KMA, Szulc P, Tamaki J, Torgerson DJ, van Schoor NM, van Staa TP, Vila J, Wareham NJ, Wright NC, Yoshimura N, Zillikens MC, Zwart M, Harvey NC, Lorentzon M, Leslie WD, Kanis JA. Update of the fracture risk prediction tool FRAX: a systematic review of potential cohorts and analysis plan. Osteoporos Int 2022; 33:2103-2136. [PMID: 35639106 DOI: 10.1007/s00198-022-06435-6] [Citation(s) in RCA: 41] [Impact Index Per Article: 20.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Accepted: 05/18/2022] [Indexed: 12/15/2022]
Abstract
We describe the collection of cohorts together with the analysis plan for an update of the fracture risk prediction tool FRAX with respect to current and novel risk factors. The resource comprises 2,138,428 participants with a follow-up of approximately 20 million person-years and 116,117 documented incident major osteoporotic fractures. INTRODUCTION The availability of the fracture risk assessment tool FRAX® has substantially enhanced the targeting of treatment to those at high risk of fracture with FRAX now incorporated into more than 100 clinical osteoporosis guidelines worldwide. The aim of this study is to determine whether the current algorithms can be further optimised with respect to current and novel risk factors. METHODS A computerised literature search was performed in PubMed from inception until May 17, 2019, to identify eligible cohorts for updating the FRAX coefficients. Additionally, we searched the abstracts of conference proceedings of the American Society for Bone and Mineral Research, European Calcified Tissue Society and World Congress of Osteoporosis. Prospective cohort studies with data on baseline clinical risk factors and incident fractures were eligible. RESULTS Of the 836 records retrieved, 53 were selected for full-text assessment after screening on title and abstract. Twelve cohorts were deemed eligible and of these, 4 novel cohorts were identified. These cohorts, together with 60 previously identified cohorts, will provide the resource for constructing an updated version of FRAX comprising 2,138,428 participants with a follow-up of approximately 20 million person-years and 116,117 documented incident major osteoporotic fractures. For each known and candidate risk factor, multivariate hazard functions for hip fracture, major osteoporotic fracture and death will be tested using extended Poisson regression. Sex- and/or ethnicity-specific differences in the weights of the risk factors will be investigated. After meta-analyses of the cohort-specific beta coefficients for each risk factor, models comprising 10-year probability of hip and major osteoporotic fracture, with or without femoral neck bone mineral density, will be computed. CONCLUSIONS These assembled cohorts and described models will provide the framework for an updated FRAX tool enabling enhanced assessment of fracture risk (PROSPERO (CRD42021227266)).
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Affiliation(s)
- L Vandenput
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
- Sahlgrenska Osteoporosis Centre, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - H Johansson
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
- Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK
| | - E V McCloskey
- Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK
- MRC Versus Arthritis Centre for Integrated Research in Musculoskeletal Ageing, Mellanby Centre for Musculoskeletal Research, University of Sheffield, Sheffield, UK
| | - E Liu
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
| | - K E Åkesson
- Clinical and Molecular Osteoporosis Research Unit, Department of Clinical Sciences, Lund University, Lund, Sweden
- Department of Orthopedics, Skåne University Hospital, Malmö, Sweden
| | - F A Anderson
- GLOW Coordinating Center, Center for Outcomes Research, University of Massachusetts Medical School, Worcester, MA, USA
| | - R Azagra
- Department of Medicine, Autonomous University of Barcelona, Barcelona, Spain
- Health Center Badia del Valles, Catalan Institute of Health, Barcelona, Spain
- GROIMAP (Research Group), Unitat de Suport a La Recerca Metropolitana Nord, Institut Universitari d'Investigació en Atenció Primària Jordi Gol, Santa Coloma de Gramenet, Barcelona, Spain
| | - C L Bager
- Nordic Bioscience A/S, Herlev, Denmark
| | - C Beaudart
- WHO Collaborating Centre for Public Health Aspects of Musculoskeletal Health and Aging, Division of Public Health, Epidemiology and Health Economics, University of Liège, Liège, Belgium
| | - H A Bischoff-Ferrari
- Department of Aging Medicine and Aging Research, University Hospital, Zurich, and University of Zurich, Zurich, Switzerland
- Centre On Aging and Mobility, University of Zurich and City Hospital, Zurich, Switzerland
| | - E Biver
- Division of Bone Diseases, Department of Medicine, Geneva University Hospitals and Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - O Bruyère
- WHO Collaborating Centre for Public Health Aspects of Musculoskeletal Health and Aging, Division of Public Health, Epidemiology and Health Economics, University of Liège, Liège, Belgium
| | - J A Cauley
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Philadelphia, USA
| | - J R Center
- Bone Biology, Healthy Ageing Theme, Garvan Institute of Medical Research, Sydney, NSW, Australia
- St Vincent's Clinical School, Faculty of Medicine, University of New South Wales Sydney, Sydney, NSW, Australia
- School of Medicine Sydney, University of Notre Dame Australia, Sydney, NSW, Australia
| | - R Chapurlat
- INSERM UMR 1033, University of Lyon, Hôpital Edouard Herriot, Lyon, France
| | | | - C Cooper
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- National Institute for Health Research Southampton Biomedical Research Centre, University of Southampton and University Hospitals Southampton NHS Foundation Trust, Southampton, UK
- National Institute for Health Research Oxford Biomedical Research Unit, , University of Oxford, Oxford, UK
| | - C J Crandall
- Division of General Internal Medicine and Health Services Research, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - S R Cummings
- San Francisco Coordinating Center, California Pacific Medical Center Research Institute, San Francisco, CA, USA
| | - J A P da Silva
- Coimbra Institute for Clinical and Biomedical Research, Faculty of Medicine, University of Coimbra, Coimbra, Portugal
- Rheumatology Department, University Hospital and University of Coimbra, Coimbra, Portugal
| | - B Dawson-Hughes
- Bone Metabolism Laboratory, Jean Mayer US Department of Agriculture Human Nutrition Research Center On Aging, Tufts University, Boston, MA, USA
| | - A Diez-Perez
- Department of Internal Medicine, Hospital del Mar and CIBERFES, Autonomous University of Barcelona, Barcelona, Spain
| | - A B Dufour
- Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
| | - J A Eisman
- St Vincent's Clinical School, Faculty of Medicine, University of New South Wales Sydney, Sydney, NSW, Australia
- School of Medicine Sydney, University of Notre Dame Australia, Sydney, NSW, Australia
- Osteoporosis and Bone Biology Division, Garvan Institute of Medical Research, Sydney, NSW, Australia
| | - P J M Elders
- Department of General Practice, Amsterdam UMC, Location VUmc, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - S Ferrari
- Division of Bone Diseases, Department of Medicine, Geneva University Hospitals and Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Y Fujita
- Department of Public Health, Faculty of Medicine, Kindai University, Osaka, Japan
| | - S Fujiwara
- Department of Pharmacy, Yasuda Women's University, Hiroshima, Japan
| | - C-C Glüer
- Section Biomedical Imaging, Molecular Imaging North Competence Center, Department of Radiology and Neuroradiology, University Medical Center Schleswig-Holstein Kiel, Kiel University, Kiel, Germany
| | - I Goldshtein
- Maccabitech Institute of Research and Innovation, Maccabi Healthcare Services, Tel Aviv, Israel
- Department of Epidemiology and Preventive Medicine, School of Public Health, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - D Goltzman
- Department of Medicine, McGill University and McGill University Health Centre, Montreal, Canada
| | - V Gudnason
- Icelandic Heart Association, Kopavogur, Iceland
- University of Iceland, Reykjavik, Iceland
| | - J Hall
- MRC Centre for Reproductive Health, University of Edinburgh, Edinburgh, UK
| | - D Hans
- Centre of Bone Diseases, Bone and Joint Department, Lausanne University Hospital, Lausanne, Switzerland
| | - M Hoff
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Rheumatology, St Olavs Hospital, Trondheim, Norway
| | - R J Hollick
- Aberdeen Centre for Arthritis and Musculoskeletal Health, Epidemiology Group, University of Aberdeen, Aberdeen, UK
| | - M Huisman
- Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, The Netherlands
- Department of Sociology, VU University, Amsterdam, The Netherlands
| | - M Iki
- Department of Public Health, Faculty of Medicine, Kindai University, Osaka, Japan
| | - S Ish-Shalom
- Endocrine Clinic, Elisha Hospital, Haifa, Israel
| | - G Jones
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - M K Karlsson
- Clinical and Molecular Osteoporosis Research Unit, Department of Clinical Sciences, Lund University, Lund, Sweden
- Department of Orthopaedics, Skåne University Hospital, Malmö, Sweden
| | - S Khosla
- Robert and Arlene Kogod Center On Aging and Division of Endocrinology, Mayo Clinic College of Medicine, Mayo Clinic, Rochester, MN, USA
| | - D P Kiel
- Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
| | - W-P Koh
- Healthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research (A*STAR), Singapore, Singapore
| | - F Koromani
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - M A Kotowicz
- IMPACT (Institute for Mental and Physical Health and Clinical Translation), Deakin University, Geelong, VIC, Australia
- Barwon Health, Geelong, VIC, Australia
- Department of Medicine - Western Health, The University of Melbourne, St Albans, Victoria, Australia
| | - H Kröger
- Department of Orthopedics and Traumatology, Kuopio University Hospital, Kuopio, Finland
- Kuopio Musculoskeletal Research Unit, University of Eastern Finland, Kuopio, Finland
| | - T Kwok
- Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, Hong Kong
- Jockey Club Centre for Osteoporosis Care and Control, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, Hong Kong
| | - O Lamy
- Centre of Bone Diseases, Lausanne University Hospital, Lausanne, Switzerland
- Service of Internal Medicine, Lausanne University Hospital, Lausanne, Switzerland
| | - A Langhammer
- Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, HUNT Research Centre, Norwegian University of Science and Technology, Trondheim, Norway
| | - B Larijani
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - K Lippuner
- Department of Osteoporosis, Bern University Hospital, University of Bern, Bern, Switzerland
| | - D Mellström
- Geriatric Medicine, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Geriatric Medicine, Sahlgrenska University Hospital Mölndal, Mölndal, Sweden
| | - T Merlijn
- Department of General Practice, Amsterdam UMC, Location VUmc, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - A Nordström
- Division of Sustainable Health, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
- School of Sport Sciences, Arctic University of Norway, Tromsø, Norway
| | - P Nordström
- Unit of Geriatric Medicine, Department of Community Medicine and Rehabilitation, Umeå University, Umeå, Sweden
| | - T W O'Neill
- National Institute for Health Research Manchester Biomedical Research Centre, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
- Centre for Epidemiology Versus Arthritis, University of Manchester, Manchester, UK
| | - B Obermayer-Pietsch
- Department of Internal Medicine, Division of Endocrinology and Diabetology, Medical University Graz, Graz, Austria
- Center for Biomarker Research in Medicine, Graz, Austria
| | - C Ohlsson
- Sahlgrenska Osteoporosis Centre, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Drug Treatment, Sahlgrenska University Hospital, Region Västra Götaland, Gothenburg, Sweden
| | - E S Orwoll
- Department of Medicine, Oregon Health and Science University, Portland, OR, USA
| | - J A Pasco
- Institute for Physical and Mental Health and Clinical Translation (IMPACT), Deakin University, Geelong, Australia
- Department of Medicine-Western Health, The University of Melbourne, St Albans, Australia
- Barwon Health, Geelong, Australia
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia
| | - F Rivadeneira
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - B Schei
- Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Gynecology, St Olavs Hospital, Trondheim, Norway
| | - A-M Schott
- Université Claude Bernard Lyon 1, U INSERM 1290 RESHAPE, Lyon, France
| | - E J Shiroma
- Laboratory of Epidemiology and Population Sciences, National Institute On Aging, Baltimore, MD, USA
| | - K Siggeirsdottir
- Icelandic Heart Association, Kopavogur, Iceland
- Janus Rehabilitation, Reykjavik, Iceland
| | - E M Simonsick
- Translational Gerontology Branch, National Institute On Aging Intramural Research Program, Baltimore, MD, USA
| | | | - R Sund
- Kuopio Musculoskeletal Research Unit, University of Eastern Finland, Kuopio, Finland
| | - K M A Swart
- Department of General Practice, Amsterdam UMC, Location VUmc, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - P Szulc
- INSERM UMR 1033, University of Lyon, Hôpital Edouard Herriot, Lyon, France
| | - J Tamaki
- Department of Hygiene and Public Health, Faculty of Medicine, Educational Foundation of Osaka Medical and Pharmaceutical University, Osaka, Japan
| | - D J Torgerson
- York Trials Unit, Department of Health Sciences, University of York, York, UK
| | - N M van Schoor
- Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, The Netherlands
| | - T P van Staa
- Centre for Health Informatics, Faculty of Biology, Medicine and Health, School of Health Sciences, University of Manchester, Manchester, UK
| | - J Vila
- Statistics Support Unit, Hospital del Mar Medical Research Institute, CIBER Epidemiology and Public Health (CIBERESP), Barcelona, Spain
| | - N J Wareham
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - N C Wright
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - N Yoshimura
- Department of Preventive Medicine for Locomotive Organ Disorders, The University of Tokyo Hospital, Tokyo, Japan
| | - M C Zillikens
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - M Zwart
- Health Center Can Gibert del Plà, Catalan Institute of Health, Girona, Spain
- Department of Medical Sciences, University of Girona, Girona, Spain
- GROIMAP (Research Group), Institut Universitari d'Investigació en Atenció Primària Jordi Gol, Barcelona, Spain
| | - N C Harvey
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - M Lorentzon
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
- Sahlgrenska Osteoporosis Centre, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
- Geriatric Medicine, Region Västra Götaland, Sahlgrenska University Hospital, Mölndal, Sweden
| | - W D Leslie
- Department of Medicine, University of Manitoba, Winnipeg, MB, Canada
| | - J A Kanis
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia.
- Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK.
- Centre for Metabolic Bone Diseases, University of Sheffield Medical School, Sheffield, UK.
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Montoya-García MJ, Giner M, Marcos R, García-Romero D, Olmo-Montes FJ, Miranda MJ, Hernández-Cruz B, Colmenero MA, Vázquez-Gámez MA. Fragility Fractures and Imminent Fracture Risk in the Spanish Population: A Retrospective Observational Cohort Study. J Clin Med 2021; 10:jcm10051082. [PMID: 33807710 PMCID: PMC7961522 DOI: 10.3390/jcm10051082] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2021] [Revised: 02/24/2021] [Accepted: 03/02/2021] [Indexed: 11/16/2022] Open
Abstract
Fragility fractures constitute a major public health problem worldwide, causing important high morbidity and mortality rates. The aim was to present the epidemiology of fragility fractures and to assess the imminent risk of a subsequent fracture and mortality. This is a retrospective population-based cohort study (n = 1369) with a fragility fracture. We estimated the incidence rate of index fragility fractures and obtained information on the subsequent fractures and death during a follow-up of up to three years. We assessed the effect of age, sex, and skeletal site of index fracture as independent risk factors of further fractures and mortality. Incidence rate of index fragility fractures was 86.9/10,000 person-years, with highest rates for hip fractures in women aged ≥80 years. The risk of fracture was higher in subjects with a recent fracture (Relative Risk(RR), 1.80; p < 0.01). Higher age was an independent risk factor for further fracture events. Significant excess mortality was found in subjects aged ≥80 years and with a previous hip fracture (hazard ratio, 3.43 and 2.48, respectively). It is the first study in Spain to evaluate the incidence of major osteoporotic fractures, not only of the hip, and the rate of imminent fracture. Our results provide further evidence highlighting the need for early treatment.
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Affiliation(s)
- Maria-José Montoya-García
- Departamento de Medicina, Universidad de Sevilla, Avda. Dr. Fedriani s/n, 41009 Sevilla, Spain; (M.-J.M.-G.); (M.A.V.-G.)
| | - Mercè Giner
- Departamento de Citología e Histología Normal y Patológica, Universidad de Sevilla, Avda. Dr. Fedriani s/n, 41009 Sevilla, Spain
- Correspondence:
| | - Rodrigo Marcos
- Orthopedic Surgery and Traumatology Service, Virgen Macarena University Hospital, Avda Sánchez Pizjuán s/n, 41009 Seville, Spain; (R.M.); (D.G.-R.)
| | - David García-Romero
- Orthopedic Surgery and Traumatology Service, Virgen Macarena University Hospital, Avda Sánchez Pizjuán s/n, 41009 Seville, Spain; (R.M.); (D.G.-R.)
| | - Francisco-Jesús Olmo-Montes
- Servicio de Medicina Interna, HUV Macarena, Avda Sánchez Pizjuán s/n, 41009 Sevilla, Spain; (F.-J.O.-M.); (M.J.M.); (M.-A.C.)
| | - Mª José Miranda
- Servicio de Medicina Interna, HUV Macarena, Avda Sánchez Pizjuán s/n, 41009 Sevilla, Spain; (F.-J.O.-M.); (M.J.M.); (M.-A.C.)
| | - Blanca Hernández-Cruz
- Rheumatology Service, Virgen Macarena University Hospital, Avda Sánchez Pizjuán s/n, 41009 Seville, Spain;
| | - Miguel-Angel Colmenero
- Servicio de Medicina Interna, HUV Macarena, Avda Sánchez Pizjuán s/n, 41009 Sevilla, Spain; (F.-J.O.-M.); (M.J.M.); (M.-A.C.)
| | - Mª Angeles Vázquez-Gámez
- Departamento de Medicina, Universidad de Sevilla, Avda. Dr. Fedriani s/n, 41009 Sevilla, Spain; (M.-J.M.-G.); (M.A.V.-G.)
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Juchli F, Zangger M, Schueck A, von Wolff M, Stute P. Chronic non-communicable disease risk calculators - An overview, part I. Maturitas 2020; 143:25-35. [PMID: 33308633 DOI: 10.1016/j.maturitas.2020.07.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Revised: 06/21/2020] [Accepted: 07/28/2020] [Indexed: 11/26/2022]
Abstract
This review identifies the different risk assessment tools that stratify the individual's risk of four of the eight leading causes of death in women: breast cancer, lung cancer, colorectal cancer and osteoporosis. It will be followed by the publication of a second paper that summarizes the risk assessment tools for the other four leading causes of death (myocardial infarction, stroke, diabetes mellitus type 2 and dementia). The different tools were compared by their use of different variables and validation criteria. To corroborate the validation process, validation study papers were considered for each risk assessment tool. Four tables, one for each illness, were designed. The tables provide an outline for each risk assessment tool, which includes its inventor/company, required variables, advantages, disadvantages and validity. These tables simplify the comparison of the different tools and enable the identification of the most suitable one for each patient.
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Affiliation(s)
- Fabienne Juchli
- Department of General Internal Medicine, Muri Hospital, Muri, Switzerland
| | - Martina Zangger
- Department of General Internal Medicine, Thun Hospital, Thun, Switzerland
| | - Andrea Schueck
- Department of Anesthesiology, Lachen Hospital, Lachen, Switzerland
| | - Michael von Wolff
- Department of Obstetrics and Gynecology, University Women's Hospital, Bern, Switzerland
| | - Petra Stute
- Department of Obstetrics and Gynecology, University Women's Hospital, Bern, Switzerland.
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Effect of 2 years of endurance and high-impact training on preventing osteoporosis in postmenopausal women: randomized clinical trial. Menopause 2019; 25:301-306. [PMID: 29040219 DOI: 10.1097/gme.0000000000001005] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Abstract
OBJECTIVE The aim of the study was to analyze the effects of endurance and high-impact training oriented toward preventing osteoporosis in postmenopausal women with calcium and vitamin D supplementation. METHODS This study was a randomized clinical trial. Thirty-six postmenopausal women were randomized to the control and experimental groups. Thirty-four women completed the 2-year interventions. The control group training involved walking at an intense pace. The experimental group conducted high-impact training specifically oriented to prevent osteoporosis. Dual-energy x-ray absorptiometry was used to estimate the T-scores of the lumbar spine and femoral neck. RESULTS The fast-walking group showed constant T-scores in the femoral neck and improved T-scores in the lumbar spine. High-impact exercises produced improvements in both anatomical levels. Significant differences were found in the femoral neck (ΔControl = -0.04, ΔExperimental = 0.28). The differences were not significant in the lumbar spine (ΔControl = 0.27, ΔExperimental = 0.47). Cohen's effect size (d = 0.52) suggested a medium practical significance of the trial. The power was 51%. CONCLUSIONS Calcium plus vitamin D supplementation combined with specifically oriented exercises had a higher impact in the femoral neck than walking at an intense pace. As there were no differences at the lumbar spine level, the results were, however, inconclusive concerning which type of exercise was the most convenient. Importantly, the fact that the T-scores did not decrease after 2 years supports the belief that both proposed interventions can be conveniently used to prevent osteoporosis in postmenopausal women. A trial with a larger sample size would provide consistency to the findings and is warranted given the possible effects and benefits.
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Efficacy, cost, and aspects to take into account in the treatment of osteoporosis in the elderly. Rev Esp Geriatr Gerontol 2018; 54:156-167. [PMID: 30606499 DOI: 10.1016/j.regg.2018.11.007] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2018] [Revised: 11/19/2018] [Accepted: 11/26/2018] [Indexed: 11/22/2022]
Abstract
Age is one of the principal risk factors for development of frailty fractures. Age pyramids show a population that is becoming increasingly more elderly, with an increasing incidence of fractures, and the forecasts for the future are truly alarming. Adequate handling of these patients who are especially at risk, at both the preventive and care levels, with a well-defined orthogeriatric model is necessary to respond to this clinical challenge. The objective of this review is to analyze the efficacy of the different strategies for the handling of geriatric patients with fracture risk.
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Kyriakos G, Vidal-Casariego A, Quiles-Sánchez LV, Calleja-Fernández A, Ávila-Turcios D, Urosa-Maggi JA, Ballesteros-Pomar MD, Cano-Rodríguez I. A comparative study between the implementation of the FRIDEX calibration and the NOGG guideline in the management of osteoporosis in routine clinical practice. REUMATOLOGIA CLINICA 2016; 13:258-263. [PMID: 27373582 DOI: 10.1016/j.reuma.2016.05.007] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/04/2015] [Revised: 05/09/2016] [Accepted: 05/13/2016] [Indexed: 12/16/2022]
Abstract
OBJECTIVE The recent FRIDEX calibration proposed cost-effectiveness thresholds for the Spanish population. The aim of our study is to evaluate the impact of its application in routine clinical practice and to compare its thresholds with those of the National Osteoporosis Guideline Group (NOGG). MATERIAL AND METHODS Cross-sectional study in women referred to a bone densitometry unit who were not receiving antiresorptive therapy. The absolute risk of major fracture or hip fracture was calculated with the Spanish and British formulas of the FRAX® tool using the intervention thresholds of the FRIDEX calibration and the NOGG guideline, respectively. RESULTS The study included 607 women with a median age of 59.4 (IQR=14) years. Treatment was initiated in 31.4% after bone mineral densitometry. With the application of the FRIDEX calibration, bone mineral density testing would have been indicated in 35.4% of the sample and treatment in 26.7%, reducing costs by 18.8% over a 5-year period. The NOGG guideline would have recommended testing in 32% and treatment in 21.3% of the participants, resulting in a reduction in costs of 35% over 5years, when compared with the standard approach. Agreement between the FRIDEX calibration and the NOGG guideline, as defined by Cohen's kappa coefficient, was low in terms of both diagnostic (0.16 [95%CI, 0.09-0.24]) and therapeutic indications (0.39 [95%CI, 0.31-0.47]). CONCLUSIONS The application of the FRIDEX calibration and the NOGG guideline improves efficiency in the management of osteoporosis, although the level of agreement between the two is low.
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Affiliation(s)
- Georgios Kyriakos
- Sección de Endocrinología y Nutrición, Complejo Asistencial Universitario de León, León, España; Departamento de Ciencias Biomédicas, Universidad de León, León, España.
| | - Alfonso Vidal-Casariego
- Sección de Endocrinología y Nutrición, Complejo Asistencial Universitario de León, León, España
| | | | | | - Dalia Ávila-Turcios
- Sección de Endocrinología y Nutrición, Complejo Asistencial Universitario de León, León, España
| | - Juan Andrés Urosa-Maggi
- Sección de Endocrinología y Nutrición, Complejo Asistencial Universitario de León, León, España
| | | | - Isidoro Cano-Rodríguez
- Sección de Endocrinología y Nutrición, Complejo Asistencial Universitario de León, León, España
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Azagra R, Zwart M, Encabo G, Aguyé A, Martin-Sánchez JC, Puchol-Ruiz N, Gabriel-Escoda P, Ortiz-Alinque S, Gené E, Iglesias M, Moriña D, Diaz-Herrera MA, Utzet M, Manresa JM. Rationale of the Spanish FRAX model in decision-making for predicting osteoporotic fractures: an update of FRIDEX cohort of Spanish women. BMC Musculoskelet Disord 2016; 17:262. [PMID: 27317560 PMCID: PMC4912785 DOI: 10.1186/s12891-016-1096-6] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/18/2016] [Accepted: 05/24/2016] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND The FRAX® tool estimates the risk of a fragility fracture among the population and many countries have been evaluating its performance among their populations since its creation in 2007. The purpose of this study is to update the first FRIDEX cohort analysis comparing FRAX with the bone mineral density (BMD) model, and its predictive abilities. METHODS The discriminatory ability of the FRAX was assessed using the 'area under curve' of the receiver operating characteristic (AUC-ROC). Predictive ability was assessed by comparing estimated risk fractures with incidence fractures after a 10-year follow up period. RESULTS One thousand three hundred eight women ≥ 40 and ≤ 90 years followed up during a 10-year period. The AUC for major osteoporotic fractures using FRAX without DXA was 0.686 (95 % CI 0.630-0.742) and using FN T-score of DXA 0.714 (95 % CI 0.661-0.767). Using only the traditional parameters of DXA (FN T-score), the AUC was 0.706 (95 % CI 0.652-0.760). The AUC for hip osteoporotic fracture was 0.883 (95 % CI 0.827-0.938), 0.857 (95 % CI 0.773-0.941), and 0.814 (95 % CI 0.712-0.916) respectively. For major osteoporotic fractures, the overall predictive value using the ratio Observed fractures/Expected fractures calculated with FRAX without T-score of DXA was 2.29 and for hip fractures 2.28 and with the inclusion of the T-score 2.01 and 1.83 respectively. However, for hip fracture in women < 65 years was 1.53 and 1.24 respectively. CONCLUSIONS The FRAX tool has been found to show a good discriminatory capacity for detecting women at high risk of fragility fracture, and is better for hip fracture than major fracture. The test of sensibility shows that it is, at least, not inferior than when using BMD model alone. The predictive capacity of FRAX tool needs some adjustment. This capacity is better for hip fracture prediction and better for women < 65 years. Further studies in Catalonia and other regions of Spain are needed to fine tune the FRAX tool's predictive capability.
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Affiliation(s)
- Rafael Azagra
- Department of Medicine, Universitat Autònoma de Barcelona, ps/Vall de Hebron 119, 08135, Barcelona, Spain.,Health Center Badia del Valles, Institut Català de la Salut, GROIMAP-USR MN-IDIAP Jordi Gol, c/Bética s/n, 08214, Badia del Vallés, Barcelona, Spain.,QuironSalud-Hospital General de Catalunya, Universitat Internacional de Catalunya, c/Josep Trueta s/n, 08195, Sant Cugat del Vallès, Barcelona, Spain
| | - Marta Zwart
- Department of Medicine, Universitat Autònoma de Barcelona, ps/Vall de Hebron 119, 08135, Barcelona, Spain. .,Health Center Can Gibert del Plà (ICS), Institut Català de la Salut, GROIMAP-USR Girona-IDIAP Jordi Gol, c/San Sebastian 9, 17005, Girona, Spain.
| | - Gloria Encabo
- Department of Nuclear Medicine, Valle de Hebron Hospital, Institut Català de la Salut, Ps/Valle de Hebron 119-129, 08035, Barcelona, Spain
| | - Amada Aguyé
- Health Center Granollers-Centre, Institut Català de la Salut, c/Museu 19, 08400, Granollers, Barcelona, Spain
| | - Juan Carlos Martin-Sánchez
- Department of Basic Sciences, Biostatistics Unit, Universitat Internacional de Catalunya, c/Josep Trueta s/n, 08195, Sant Cugat del Valles, Barcelona, Spain
| | - Nuria Puchol-Ruiz
- Health Center Badia del Valles, Institut Català de la Salut, GROIMAP-USR MN-IDIAP Jordi Gol, c/Bética s/n, 08214, Badia del Vallés, Barcelona, Spain
| | - Paula Gabriel-Escoda
- Health Center Barberà del Vallès, Institut Català de la Salut, GROIMAP-USR MN-IDIAP Jordi Gol, c/Verge de l'Assumpció s/n, 08210, Barberà del Vallès, Barcelona, Spain
| | - Sergio Ortiz-Alinque
- Health Center Canaletes, Institut Català de la Salut, GROIMAP-USR MN-IDIAP Jordi Gol, c/Ps d'Horta 17, 08290, Cerdanyola del Vallès, Barcelona, Spain
| | - Emilio Gené
- Department of Medicine, Universitat Autònoma de Barcelona, ps/Vall de Hebron 119, 08135, Barcelona, Spain.,Department of Medicine, Universitat Internacional de Catalunya, c/Josep Trueta s/n, 08195, Sant Cugat del Valles, Barcelona, Spain.,Urgencies Service, Hospital of Sabadell, Corporació Sanitaria i Universitaria Parc Tauli, Parc Tauli s/n, 08208, Sabadell, Barcelona, Spain
| | - Milagros Iglesias
- Health Center Badia del Valles, Institut Català de la Salut, GROIMAP-USR MN-IDIAP Jordi Gol, c/Bética s/n, 08214, Badia del Vallés, Barcelona, Spain
| | - David Moriña
- Unit of Infections and Cancer (UNIC), Cancer Epidemiology Research Program (CERP), Catalan Institute of Oncology (ICO)-IDIBELL, Av Gran Via, 199-203, 08908, L'Hospitalet de Llobregat, Barcelona, Spain.,Departament d'Economia i Història Econòmica, Grups de Recerca d'Àfrica i Amèrica Llatines (GRAAL), Unitat de Fonaments de l'Anàlisi Econòmica, Universitat Autònoma de Barcelona, c/Emprius 2, 08202, Sabadell, Barcelona, Spain
| | - Miguel Angel Diaz-Herrera
- Health Center Cornellà 2 (Sant Ildefons), Institut Català de la Salut, GROIMAP-USR MN-IDIAP Jordi Gol, c/Republica Argentina s/n, 08940, Cornellá, Barcelona, Spain
| | - Mireia Utzet
- Biostatistics Unit, CUPESSE European Project, Universitat Pompeu Fabra, Ed Jaume I-Campus Ciutadella, 08003, Barcelona, Spain
| | - Josep Maria Manresa
- Unitat Supor Recerca Metropolitana Nord, IDIAP Jordi Gol, ctra de Barcelona 473, 08204, Sabadell, Barcelona, Spain.,Department of Nursing, Universitat Autònoma de Barcelona, avda Can Domenech s/n, 08193, Cerdanyola del Valles, Barcelona, Spain
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8
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Azagra R, Zwart M, Aguyé A, Martín-Sánchez J, Casado E, Díaz-Herrera M, Moriña D, Cooper C, Díez-Pérez A, Dennison E. Fracture experience among participants from the FROCAT study: what thresholding is appropriate using the FRAX tool? Maturitas 2016; 83:65-71. [DOI: 10.1016/j.maturitas.2015.10.002] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2015] [Revised: 09/04/2015] [Accepted: 10/02/2015] [Indexed: 12/15/2022]
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9
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SECOT-GEIOS guidelines in osteoporosis and fragility fracture. An update. Rev Esp Cir Ortop Traumatol (Engl Ed) 2015. [DOI: 10.1016/j.recote.2015.09.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
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10
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Kyriakos G, Vidal-Casariego A, Fernández-Martínez MN, Blanco-Suárez MD, Ballesteros-Pomar MD, Cano-Rodríguez I. Impact of the NOGG and NOF Guidelines on the Indication of Bone Mineral Density in Routine Clinical Practice. J Clin Densitom 2015; 18:533-8. [PMID: 26343823 DOI: 10.1016/j.jocd.2015.08.001] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/03/2015] [Revised: 08/05/2015] [Accepted: 08/07/2015] [Indexed: 12/21/2022]
Abstract
The universal screening for osteoporosis by bone mineral density (BMD) is not feasible because of its unfavorable cost-benefit due to its low sensitivity. The aim of the present study was to estimate the population and economic impact of the diagnostic criteria of the National Osteoporosis Guideline Group (NOGG) and the National Osteoporosis Foundation (NOF) and assess the appropriateness of the BMD tests performed in routine clinical practice. A cross-sectional study was conducted in individuals referred for BMD testing who were not receiving antiresorptive therapy. The absolute risk of major and hip fracture was calculated using the British formula of the Fracture Risk Assessment Tool. NOGG and NOF guidelines diagnostic thresholds interventions were used. A total of 640 individuals were included, of which 95% were women, with a median age of 59.4 years (interquartile range = 14). When applying the NOGG criteria, BMD testing was recommended in 32.3% of the individuals, whereas this percentage increased to 75.6% with the NOF guidelines (p < 0.05). Regarding the appropriateness of the BMD tests performed, 31.9% were deemed appropriate according to both the NOGG and NOF guidelines, whereas 23.9% were considered inappropriate. In conclusion, the application of the NOGG and NOF guidelines led to a decrease in BMD indications, reducing costs and improving efficiency in the diagnostic management of osteoporosis, although variability exists between the guidelines.
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Affiliation(s)
- Georgios Kyriakos
- Department of Endocrinology and Nutrition, Complejo Asistencial Universitario de León, León, Spain.
| | - Alfonso Vidal-Casariego
- Department of Endocrinology and Nutrition, Complejo Asistencial Universitario de León, León, Spain
| | | | | | | | - Isidoro Cano-Rodríguez
- Department of Endocrinology and Nutrition, Complejo Asistencial Universitario de León, León, Spain
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11
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Etxebarria-Foronda I, Caeiro-Rey JR, Larrainzar-Garijo R, Vaquero-Cervino E, Roca-Ruiz L, Mesa-Ramos M, Merino Pérez J, Carpintero-Benitez P, Fernández Cebrián A, Gil-Garay E. [SECOT-GEIOS guidelines in osteoporosis and fragility fracture. An update]. Rev Esp Cir Ortop Traumatol (Engl Ed) 2015; 59:373-93. [PMID: 26233814 DOI: 10.1016/j.recot.2015.05.007] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2015] [Revised: 05/13/2015] [Accepted: 05/29/2015] [Indexed: 12/12/2022] Open
Affiliation(s)
- I Etxebarria-Foronda
- Grupo de Estudio e Investigación de la Osteoporosis y la Fractura Osteoporótica de la Sociedad Española de Cirugía Ortopédica y Traumatología (GEIOS-SECOT), España; Servicio de Cirugía Ortopédica y Traumatología, Hospital Alto Deba, Arrasate-Mondragón, Gipuzkoa, España.
| | - J R Caeiro-Rey
- Grupo de Estudio e Investigación de la Osteoporosis y la Fractura Osteoporótica de la Sociedad Española de Cirugía Ortopédica y Traumatología (GEIOS-SECOT), España; Servicio de Cirugía Ortopédica y Traumatología, Complexo Hospitalario Universitario Santiago Compostela, Santiago de Compostela, A Coruña, España
| | - R Larrainzar-Garijo
- Grupo de Estudio e Investigación de la Osteoporosis y la Fractura Osteoporótica de la Sociedad Española de Cirugía Ortopédica y Traumatología (GEIOS-SECOT), España; Servicio de Cirugía Ortopédica y Traumatología, Hospital Universitario Infanta Leonor, Madrid, España
| | - E Vaquero-Cervino
- Grupo de Estudio e Investigación de la Osteoporosis y la Fractura Osteoporótica de la Sociedad Española de Cirugía Ortopédica y Traumatología (GEIOS-SECOT), España; Servicio de Cirugía Ortopédica y Traumatología, Complexo Hospitalario Pontevedra, Pontevedra, España
| | - L Roca-Ruiz
- Grupo de Estudio e Investigación de la Osteoporosis y la Fractura Osteoporótica de la Sociedad Española de Cirugía Ortopédica y Traumatología (GEIOS-SECOT), España; Servicio de Cirugía Ortopédica y Traumatología, Hospital Universitario Virgen Macarena, Sevilla, España
| | - M Mesa-Ramos
- Grupo de Estudio e Investigación de la Osteoporosis y la Fractura Osteoporótica de la Sociedad Española de Cirugía Ortopédica y Traumatología (GEIOS-SECOT), España; Unidad de Gestión Clínica del Aparato Locomotor, Área Sanitaria Norte de Córdoba, Pozoblanco, Córdoba, España
| | - J Merino Pérez
- Grupo de Estudio e Investigación de la Osteoporosis y la Fractura Osteoporótica de la Sociedad Española de Cirugía Ortopédica y Traumatología (GEIOS-SECOT), España; Servicio de Cirugía Ortopédica y Traumatología, Hospital Universitario de Cruces, Barakaldo, Bizkaia, España
| | - P Carpintero-Benitez
- Grupo de Estudio e Investigación de la Osteoporosis y la Fractura Osteoporótica de la Sociedad Española de Cirugía Ortopédica y Traumatología (GEIOS-SECOT), España; Cátedra de Cirugía Ortopédica y Traumatología, Facultad de Medicina, Córdoba, España
| | - A Fernández Cebrián
- Grupo de Estudio e Investigación de la Osteoporosis y la Fractura Osteoporótica de la Sociedad Española de Cirugía Ortopédica y Traumatología (GEIOS-SECOT), España; Servicio de Cirugía Ortopédica y Traumatología, Complejo Hospitalario de Ourense, Ourense, España
| | - E Gil-Garay
- Grupo de Estudio e Investigación de la Osteoporosis y la Fractura Osteoporótica de la Sociedad Española de Cirugía Ortopédica y Traumatología (GEIOS-SECOT), España; Servicio de Cirugía Ortopédica y Traumatología, Hospital Universitario La Paz, Madrid, España
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12
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Darbà J, Kaskens L, Pérez-Álvarez N, Palacios S, Neyro JL, Rejas J. Disability-adjusted-life-years losses in postmenopausal women with osteoporosis: a burden of illness study. BMC Public Health 2015; 15:324. [PMID: 25880810 PMCID: PMC4392468 DOI: 10.1186/s12889-015-1684-7] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2013] [Accepted: 03/26/2015] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND To estimate the disability-adjusted life years (DALY) in a nationwide representative sample of postmenopausal women with osteoporosis. The effects of drug-based therapy and risk factors for osteoporotic bone fractures on DALY losses were also explored. METHODS DALY were estimated based on participant's clinical characteristics and Health-Related Quality-of-Life (HRQoL) data obtained from a cross-sectional, epidemiological one-visit study (the GINERISK study). The study enrolled postmenopausal women (at least 12-months after their last menstrual period) with osteoporosis, above 18-years old, who attended Spanish outpatient Gynaecology clinics. HRQoL was assessed using the generic SF-12v2 questionnaire, which was used to derive disutility values. Mortality rates were extracted from the Spanish national statistics database. Factors explored to be associated with DALY losses were examined using ANOVA, ANCOVA and MANCOVA models. RESULTS DALY could be computed in 2,782 (67%) out of 4,157 postmenopausal women, with a mean (95% CI) age of 61.0 (60.7-61.2) years. Overall individual undiscounted DALY per woman were 6.1 (5.9-6.2), resulting to be significantly higher in women with severe osteoporosis with prior bone fracture; 7.8 (7.2-8.4) compared to osteoporotic women [5.8 (5.6-6.0)] or postmenopausal women with a BMD > -2.5 T-score that received a drug-based therapy [6.2 (5.8-6.5)]; F = 27.0 (P < 0.01). Models explaining the variation in the levels of health based on the use of a selective estrogen receptor modulator (SERM) or possession of risk factors for osteoporotic BF were found (P < 0.05). CONCLUSIONS DALY losses were considerable amongst postmenopausal women with osteoporosis. Not having a prior bone fracture, being older, using a SERM and having less osteoporotic risk factors were all linked to less DALY losses.
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Affiliation(s)
- Josep Darbà
- Department of Economics, Universitat de Barcelona, Diagonal 690, 08034, Barcelona, Spain.
| | - Lisette Kaskens
- BCN Health Economics & Outcomes Research S.L., Travessera de Gracia 62, 5-6, 08006, Barcelona, Spain.
| | - Nuria Pérez-Álvarez
- BCN Health Economics & Outcomes Research S.L., Travessera de Gracia 62, 5-6, 08006, Barcelona, Spain.
| | - Santiago Palacios
- Instituto Palacios de Salud y Medicina de la Mujer, Calle Antonio Acuña, 9, 28009, Madrid, Spain.
| | - José Luis Neyro
- Department of Obstetrics and Gynaecology, Hospital Universitario Cruces, Gran Vía 81-4, 48011, Bilbao, Spain.
| | - Javier Rejas
- Health Economics and Outcomes Research Department, Pfizer, S.L.U., Avda. Europa 20B. Parque Empresarial la Moraleja, 28108, Alcobendas, Madrid, Spain.
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13
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Rubin KH, Holmberg T, Rothmann MJ, Høiberg M, Barkmann R, Gram J, Hermann AP, Bech M, Rasmussen O, Glüer CC, Brixen K. The risk-stratified osteoporosis strategy evaluation study (ROSE): a randomized prospective population-based study. Design and baseline characteristics. Calcif Tissue Int 2015; 96:167-79. [PMID: 25578146 DOI: 10.1007/s00223-014-9950-8] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/12/2014] [Accepted: 12/23/2014] [Indexed: 11/29/2022]
Abstract
The risk-stratified osteoporosis strategy evaluation study (ROSE) is a randomized prospective population-based study investigating the effectiveness of a two-step screening program for osteoporosis in women. This paper reports the study design and baseline characteristics of the study population. 35,000 women aged 65-80 years were selected at random from the population in the Region of Southern Denmark and-before inclusion-randomized to either a screening group or a control group. As first step, a self-administered questionnaire regarding risk factors for osteoporosis based on FRAX(®) was issued to both groups. As second step, subjects in the screening group with a 10-year probability of major osteoporotic fractures ≥15% were offered a DXA scan. Patients diagnosed with osteoporosis from the DXA scan were advised to see their GP and discuss pharmaceutical treatment according to Danish National guidelines. The primary outcome is incident clinical fractures as evaluated through annual follow-up using the Danish National Patient Registry. The secondary outcomes are cost-effectiveness, participation rate, and patient preferences. 20,904 (60%) women participated and included in the baseline analyses (10,411 in screening and 10,949 in control group). The mean age was 71 years. As expected by randomization, the screening and control groups had similar baseline characteristics. Screening for osteoporosis is at present not evidence based according to the WHO screening criteria. The ROSE study is expected to provide knowledge of the effectiveness of a screening strategy that may be implemented in health care systems to prevent fractures.
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Affiliation(s)
- Katrine Hass Rubin
- Odense Patient data Explorative Network (OPEN), Institute of Clinical Research, University of Southern Denmark, J. B. Winsløws Vej 9 a, 3th Floor, 5000, Odense C, Denmark,
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14
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Moons KGM, Altman DG, Reitsma JB, Ioannidis JPA, Macaskill P, Steyerberg EW, Vickers AJ, Ransohoff DF, Collins GS. Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD): explanation and elaboration. Ann Intern Med 2015; 162:W1-73. [PMID: 25560730 DOI: 10.7326/m14-0698] [Citation(s) in RCA: 2951] [Impact Index Per Article: 327.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
The TRIPOD (Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis) Statement includes a 22-item checklist, which aims to improve the reporting of studies developing, validating, or updating a prediction model, whether for diagnostic or prognostic purposes. The TRIPOD Statement aims to improve the transparency of the reporting of a prediction model study regardless of the study methods used. This explanation and elaboration document describes the rationale; clarifies the meaning of each item; and discusses why transparent reporting is important, with a view to assessing risk of bias and clinical usefulness of the prediction model. Each checklist item of the TRIPOD Statement is explained in detail and accompanied by published examples of good reporting. The document also provides a valuable reference of issues to consider when designing, conducting, and analyzing prediction model studies. To aid the editorial process and help peer reviewers and, ultimately, readers and systematic reviewers of prediction model studies, it is recommended that authors include a completed checklist in their submission. The TRIPOD checklist can also be downloaded from www.tripod-statement.org.
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15
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Montoya MJ, Giner M, Miranda C, Vázquez MA, Caeiro JR, Guede D, Pérez-Cano R. Microstructural trabecular bone from patients with osteoporotic hip fracture or osteoarthritis: its relationship with bone mineral density and bone remodelling markers. Maturitas 2014; 79:299-305. [PMID: 25124531 DOI: 10.1016/j.maturitas.2014.07.006] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2014] [Revised: 07/02/2014] [Accepted: 07/08/2014] [Indexed: 01/28/2023]
Abstract
Osteoporosis (OP) and osteoarthritis (OA) are the most prevalent musculoskeletal disorders in the elderly but the relationship between them is unclear. The purposes of this study are to analyze the bone turnover markers (BTM), bone mineral density (BMD) and the structural and mechanical properties of trabecular bone in patients with OP and OA, and to explore the relationship between these two diseases. We studied 12 OP patients and 13 OA patients. We analyzed BTM (β-CrossLaps and PINP), BMD and microstructural and biomechanical parameters (micro-CT). Our results were: OP group has higher levels of β-CrossLaps and lower BMD at the femoral neck. Also, OP patients have a decreased volume of trabecular bone and less trabecular number, with architecture showing prevalence of rod-like trabeculae and worse connectivity than OA patients. The biomechanical parameters were worse in OP patients. BMD was correlated with almost all the structural and biomechanical parameters. Moreover, β-CrossLaps was negatively correlated with hip BMD and with bone surface density and positively with trabecular separation. BTM, BMD and bone microstructural changes in osteoporosis are opposite to those of OA. These findings justify a less resistant bone with higher risk of fragility fractures in OP patients. These histomorphometric and biomechanical changes may be suspected by measuring of BMD and β-CrossLaps levels.
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Affiliation(s)
- M José Montoya
- Medicine Department, University of Seville, Avda. Dr. Fedriani s/n, 41009 Sevilla, Spain.
| | - Mercè Giner
- Medicine Department, University of Seville, Avda. Dr. Fedriani s/n, 41009 Sevilla, Spain; Bone Metabolism Unit, Department of Internal Medicine, "Virgen Macarena" University Hospital, Seville, Spain.
| | - Cristina Miranda
- Bone Metabolism Unit, Department of Internal Medicine, "Virgen Macarena" University Hospital, Seville, Spain
| | - M Angeles Vázquez
- Medicine Department, University of Seville, Avda. Dr. Fedriani s/n, 41009 Sevilla, Spain
| | - José R Caeiro
- Department of Orthopaedic Surgery, Complexo Hospitalario Universitario de Santiago de Compostela, A Coruña, Spain; Trabeculae(®), Parque Tecnolóxico de Galicia, 32900 San Cibrao das Viñas, Ourense, Spain
| | - David Guede
- Trabeculae(®), Parque Tecnolóxico de Galicia, 32900 San Cibrao das Viñas, Ourense, Spain
| | - Ramón Pérez-Cano
- Medicine Department, University of Seville, Avda. Dr. Fedriani s/n, 41009 Sevilla, Spain; Bone Metabolism Unit, Department of Internal Medicine, "Virgen Macarena" University Hospital, Seville, Spain
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16
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Azagra R, Roca G, Martín-Sánchez JC, Casado E, Encabo G, Zwart M, Aguyé A, Díez-Pérez A. [FRAX® thresholds to identify people with high or low risk of osteoporotic fracture in Spanish female population]. Med Clin (Barc) 2014; 144:1-8. [PMID: 24461732 DOI: 10.1016/j.medcli.2013.11.014] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2013] [Revised: 11/05/2013] [Accepted: 11/07/2013] [Indexed: 01/20/2023]
Abstract
BACKGROUND AND OBJECTIVE To detect FRAX(®) threshold levels that identify groups of the population that are at high/low risk of osteoporotic fracture in the Spanish female population using a cost-effective assessment. PATIENTS AND METHODS This is a cohort study. Eight hundred and sixteen women 40-90 years old selected from the FRIDEX cohort with densitometry and risk factors for fracture at baseline who received no treatment for osteoporosis during the 10 year follow-up period and were stratified into 3 groups/levels of fracture risk (low<10%, 10-20% intermediate and high>20%) according to the real fracture incidence. RESULTS The thresholds of FRAX(®) baseline for major osteoporotic fracture were: low risk<5; intermediate ≥ 5 to <7.5 and high ≥ 7.5. The incidence of fracture with these values was: low risk (3.6%; 95% CI 2.2-5.9), intermediate risk (13.7%; 95% CI 7.1-24.2) and high risk (21.4%; 95% CI12.9-33.2). The most cost-effective option was to refer to dual energy X-ray absorptiometry (DXA-scan) for FRAX(®)≥ 5 (Intermediate and high risk) to reclassify by FRAX(®) with DXA-scan at high/low risk. These thresholds select 17.5% of women for DXA-scan and 10% for treatment. With these thresholds of FRAX(®), compared with the strategy of opportunistic case finding isolated risk factors, would improve the predictive parameters and reduce 82.5% the DXA-scan, 35.4% osteoporosis prescriptions and 28.7% cost to detect the same number of women who suffer fractures. CONCLUSIONS The use of FRAX ® thresholds identified as high/low risk of osteoporotic fracture in this calibration (FRIDEX model) improve predictive parameters in Spanish women and in a more cost-effective than the traditional model based on the T-score ≤ -2.5 of DXA scan.
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Affiliation(s)
- Rafael Azagra
- Departamento de Medicina, Universitat Autònoma de Barcelona, Barcelona, España; Medicina de Familia, CAP Badía del Vallés, Institut Català de la Salut (ICS), USR MN-IDIAP Jordi Gol, Barcelona, España; Departamento de Medicina, Universitat Internacional de Catalunya, Sant Cugat del Vallés, Barcelona, España.
| | - Genís Roca
- Departamento de Medicina, Universitat Autònoma de Barcelona, Barcelona, España; Medicina de Familia, CAP Sant Llàtzer, Corporació Sanitària de Terrassa, Terrassa, Barcelona, España
| | - Juan Carlos Martín-Sánchez
- Bioestadística, Departamento de Ciencias Básicas, Universitat Internacional de Catalunya, Campus Sant Cugat, Sant Cugat del Vallés, Barcelona, España
| | - Enrique Casado
- Reumatología, Hospital de Sabadell, Corporació Sanitària Parc Taulí, Sabadell, Barcelona, España
| | - Gloria Encabo
- Medicina Nuclear, Hospital Universitari Vall d'Hebron, Institut Català de la Salut (ICS), Barcelona, España
| | - Marta Zwart
- Departamento de Medicina, Universitat Autònoma de Barcelona, Barcelona, España; Medicina de Familia, CAP Girona-2, Institut Català de la Salut (ICS)-USR Girona, IDIAP Jordi Gol, Girona, España
| | - Amada Aguyé
- Medicina de Familia, CAP Granollers Centre, Institut Català de la Salut (ICS), Granollers, Barcelona, España
| | - Adolf Díez-Pérez
- Departamento de Medicina, Universitat Autònoma de Barcelona, Barcelona, España; Departamento de Medicina Interna, URFOA, IMIM, Parc de Salut Mar, Barcelona, España; Red Temática de Investigación Cooperativa en Envejecimiento y Fragilidad (RETICEF), Instituto de Salud Carlos III-FEDER, Madrid, España
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Nayak S, Edwards DL, Saleh AA, Greenspan SL. Performance of risk assessment instruments for predicting osteoporotic fracture risk: a systematic review. Osteoporos Int 2014; 25:23-49. [PMID: 24105431 PMCID: PMC3962543 DOI: 10.1007/s00198-013-2504-5] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2013] [Accepted: 08/19/2013] [Indexed: 10/26/2022]
Abstract
UNLABELLED We systematically reviewed the literature on the performance of osteoporosis absolute fracture risk assessment instruments. Relatively few studies have evaluated the calibration of instruments in populations separate from their development cohorts, and findings are mixed. Many studies had methodological limitations making susceptibility to bias a concern. INTRODUCTION The aim of this study was to systematically review the literature on the performance of osteoporosis clinical fracture risk assessment instruments for predicting absolute fracture risk, or calibration, in populations other than their derivation cohorts. METHODS We performed a systematic review, and MEDLINE, Embase, Cochrane Library, and multiple other literature sources were searched. Inclusion and exclusion criteria were applied and data extracted, including information about study participants, study design, potential sources of bias, and predicted and observed fracture probabilities. RESULTS A total of 19,949 unique records were identified for review. Fourteen studies met inclusion criteria. There was substantial heterogeneity among included studies. Six studies assessed the WHO's Fracture Risk Assessment (FRAX) instrument in five separate cohorts, and a variety of risk assessment instruments were evaluated in the remainder of the studies. Approximately half found good instrument calibration, with observed fracture probabilities being close to predicted probabilities for different risk categories. Studies that assessed the calibration of FRAX found mixed performance in different populations. A similar proportion of studies that evaluated simple risk assessment instruments (≤5 variables) found good calibration when compared with studies that assessed complex instruments (>5 variables). Many studies had methodological features making them susceptible to bias. CONCLUSIONS Few studies have evaluated the performance or calibration of osteoporosis fracture risk assessment instruments in populations separate from their development cohorts. Findings are mixed, and many studies had methodological limitations making susceptibility to bias a possibility, raising concerns about use of these tools outside of the original derivation cohorts. Further studies are needed to assess the calibration of instruments in different populations prior to widespread use.
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Affiliation(s)
- S Nayak
- Swedish Center for Research and Innovation, Swedish Health Services, Swedish Medical Center, 747 Broadway, Seattle, WA, 98122-4307, USA,
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Palacios S, Neyro JL, Fernández de Cabo S, Chaves J, Rejas J. Impact of osteoporosis and bone fracture on health-related quality of life in postmenopausal women. Climacteric 2013; 17:60-70. [PMID: 23710562 DOI: 10.3109/13697137.2013.808182] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
BACKGROUND Osteoporosis is responsible for fragility fractures, which are associated with decreased physical and social function. The GINERISK study was a cross-sectional epidemiological study conducted in 4157 Spanish postmenopausal women initially diagnosed with osteoporosis according to WHO criteria within the last 2 years. AIM The aim of the study was to explore the impact of osteoporosis on health-related quality of life (HRQoL). METHOD Menopause-specific and generic HRQoL were assessed, respectively, with the specific Cervantes Scale and the generic SF-12v2 Health Survey. The impact of osteoporosis on HRQoL was ultimately evaluated in 3328 (80.1%) women who had measurements for both bone mineral densitometry (BMD) and HRQoL. RESULTS Menopause-specific or generic HRQoL, respectively, were worse in women with current osteoporosis and prior osteoporotic bone fracture (BF) in comparison with current osteoporosis without BF or whose T-score had increased above -2.5 on the BMD after receiving osteoporosis drug therapy. Impaired HRQoL was found both in Spanish postmenopausal female populations and the Spanish general female population. Women with osteoporosis with BF had physical and mental summary component scores in the 20th and 30th percentiles, respectively, of the Spanish general population. Higher risk for cardiovascular death was also associated with greater HRQoL impairment. The use of selective estrogen receptor modulators in women with a BMD T-score ≤ -2.5 was associated with lower impact of osteoporosis on HRQoL, particularly in the domains of physical health and sexuality. CONCLUSION The HRQoL analysis results in this study demonstrated a loss of quality of life in postmenopausal women with osteoporosis and confirmed that this loss is greater in women with prior osteoporotic fracture.
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Affiliation(s)
- S Palacios
- Instituto Palacios de Salud y Medicina de la Mujer , Madrid
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Tebé Cordomí C, Del Río LM, Di Gregorio S, Casas L, Estrada MD, Kotzeva A, Espallargues M. Validation of the FRAX predictive model for major osteoporotic fracture in a historical cohort of Spanish women. J Clin Densitom 2013; 16:231-7. [PMID: 22748778 DOI: 10.1016/j.jocd.2012.05.007] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2012] [Revised: 05/15/2012] [Accepted: 05/17/2012] [Indexed: 11/22/2022]
Abstract
FRAX is a fracture risk assessment tool to estimate the 10-yr probability of a major osteoporotic fracture or a hip fracture. The aim of the study was to assess the predictive ability of FRAX for major osteoporotic fracture in a cohort of Spanish women. The study was based on a retrospective cohort of women aged 40-90 yr. Patients were followed from their first bone densitometry to the first major osteoporotic fracture event (forearm, proximal humerus, clinical spine, or hip fracture) or for 10 yr whichever comes first. A total of 1231 women were included. Bone mineral density data and self-reported data on risk factors for fracture were obtained. The predictive ability of FRAX was assessed by analyzing calibration and discrimination, with the calculation of observed-to-expected (O/E) fracture ratios and the receiver operating characteristic (ROC) curve, respectively. A total of 222 women (18.1%) reported at least 1 fracture after the first assessment. The incidence of fracture was 14 (95% confidence interval [CI]: 10-17), 19 (95% CI: 15-23), 28 (95% CI: 21-36), and 67 (95% CI: 8-125) cases per 1000 woman-years in women aged <55, 55-64, 65-74, and ≥75 yr, respectively. The O/E ratio was 3.9 (95% CI: 3.4-4.5; p<0.0001). The area under the ROC curve was 61% (95% CI: 57-65%). FRAX underestimated the risk of major osteoporotic fracture in this cohort of Spanish women, particularly in those with a low risk of fracture according to the clinical factors used in the FRAX tool. Our findings highlight the need for validation studies of FRAX in Spain.
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Prieto-Alhambra D, Díez-Pérez A. Do we need to fine-tune the Spanish version of the FRAX predictive tool? J Clin Densitom 2013; 16:133-4. [PMID: 22921774 DOI: 10.1016/j.jocd.2012.06.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/10/2012] [Accepted: 06/11/2012] [Indexed: 11/22/2022]
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Azagra R, López-Expósito F, Aguyé A, Encabo G. [Prediction of frailty fractures or prediction of densitometric osteoporosis. That is the question!]. Med Clin (Barc) 2013; 141:43-4. [PMID: 23490485 DOI: 10.1016/j.medcli.2012.11.031] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2012] [Accepted: 11/15/2012] [Indexed: 01/14/2023]
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Sanfélix-Genovés J, Sanfélix-Gimeno G, Peiró S, Hurtado I, Fluixà C, Fuertes A, Campos JC, Giner V, Baixauli C. Prevalence of osteoporotic fracture risk factors and antiosteoporotic treatments in the Valencia region, Spain. The baseline characteristics of the ESOSVAL cohort. Osteoporos Int 2013; 24:1045-55. [PMID: 22618269 DOI: 10.1007/s00198-012-2018-6] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2012] [Accepted: 03/14/2012] [Indexed: 10/28/2022]
Abstract
UNLABELLED This study provides information on the prevalence of the most important risk factors for osteoporosis and osteoporotic fracture in a large sample of women and men from the Valencia region and also provides the FRAX 10-year major and hip fracture risks for this population, as well as data about the use of diagnostic tests and antiosteoporotic treatments. INTRODUCTION The purpose of this study was to describe demographic characteristics, osteoporosis risk factors, the 10-year risk of osteoporotic fracture, and the use of densitometry and antiosteoporotic treatments in the Valencia region, Spain. METHODS A cross-sectional study using the ESOSVAL cohort baseline data was conducted. We analyze the data from 5,310 women and 5,725 men aged 50 and over who attended to 272 collaborating primary care centers in 2009-2010. We collected the demographic, anthropometric, clinical, and pharmacy data from the electronic medical record. RESULTS The mean age of participants was 64.3 years old for women and 65.6 years old for men. The most frequent fracture risk factors were sedentary life (22.2 %) and previous fracture (15.8 %) in women and low calcium intake (21.4 %) and current smoker (20.9 %) in men. According to FRAX(®), the 10-year risk of presenting a major fracture was 5.5 % for the women and 2.8 % for the men. The 10-year risk for hip fracture was 1.9 and 1.1 % for the women and the men, respectively; 23.8 % of the women and 5.2 % of the men had a densitometry test, 27.7 % of the women and 3.5 % of the men were taking calcium and/or vitamin D supplements, and 28.2 % of the women (22.0 % in the 50-64 age group) and 2.3 % of the men were taking antiosteoporotic drugs. CONCLUSIONS The prevalence of certain fracture risk factors not included in the FRAX tool (sedentary life, falls, low calcium intake) is high. In young women, their low risks estimated by FRAX contrast with the high figures for densitometry testing and treatment.
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Affiliation(s)
- J Sanfélix-Genovés
- Health Services Research Unit, Centro Superior de Investigación en Salud Pública, Avda de Cataluña 21, 46020 Valencia, Spain.
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Herrera A, Lobo-Escolar A, Mateo J, Gil J, Ibarz E, Gracia L. Male osteoporosis: A review. World J Orthop 2012; 3:223-34. [PMID: 23362466 PMCID: PMC3557324 DOI: 10.5312/wjo.v3.i12.223] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/26/2012] [Revised: 11/19/2012] [Accepted: 12/06/2012] [Indexed: 02/06/2023] Open
Abstract
Osteoporosis in men is a heterogeneous disease that has received little attention. However, one third of worldwide hip fractures occur in the male population. This problem is more prevalent in people over 70 years of age. The etiology can be idiopathic or secondary to hypogonadism, vitamin D deficiency and inadequate calcium intake, hormonal treatments for prostate cancer, use of toxic and every disease or drug use that alters bone metabolism.Risk factors such as a previous history of fragility fracture should be assessed for the diagnosis. However, risk factors in men are very heterogeneous. There are significant differences in the pharmacological treatment of osteoporosis between men and women fundamentally due to the level of evidence in published trials supporting each treatment. New treatments will offer new therapeutic prospects. The goal of this work is a revision of the present status knowledge about male osteoporosis.
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Middleton RG, Shabani F, Uzoigwe CE, Shoaib A, Moqsith M, Venkatesan M. FRAX and the assessment of the risk of developing a fragility fracture. ACTA ACUST UNITED AC 2012; 94:1313-20. [PMID: 23015554 DOI: 10.1302/0301-620x.94b10.28889] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Osteoporosis is common and the health and financial cost of fragility fractures is considerable. The burden of cardiovascular disease has been reduced dramatically by identifying and targeting those most at risk. A similar approach is potentially possible in the context of fragility fractures. The World Health Organization created and endorsed the use of FRAX, a fracture risk assessment tool, which uses selected risk factors to calculate a quantitative, patient-specific, ten-year risk of sustaining a fragility fracture. Treatment can thus be based on this as well as on measured bone mineral density. It may also be used to determine at-risk individuals, who should undergo bone densitometry. FRAX has been incorporated into the national osteoporosis guidelines of countries in the Americas, Europe, the Far East and Australasia. The United Kingdom National Institute for Health and Clinical Excellence also advocates its use in their guidance on the assessment of the risk of fragility fracture, and it may become an important tool to combat the health challenges posed by fragility fractures.
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Affiliation(s)
- R G Middleton
- Cheltenham General Hospital, Sandford Road, Cheltenham, Gloucestershire GL53 7AN, UK
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Jódar Gimeno E. Identifying and managing patients at high risk for fractures: conclusions from the second Spanish multidisciplinary forum-parathyroid hormone use in osteoporotic patients at high risk for fractures. Drugs R D 2012. [PMID: 23193980 PMCID: PMC3585953 DOI: 10.2165/11641360-000000000-00000] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Purpose The Second Multidisciplinary Forum: Parathyroid Hormone (PTH) Use in Osteoporotic Patients at High Risk for Fractures (HRF) was conducted to identify specific findings that would be helpful for defining high-risk status and guiding the use of parathyroid hormone 1–84 (PTH1-84) as an anabolic therapy in daily clinical practice. This article summarizes the conclusions from the meeting. Materials and Methods Based on three typical case records, and the final conclusions from the first Forum (held in 2010), several questions were posed regarding daily clinical practice definitions of HRF and use of PTH1-84, through a series of 19 meetings throughout Spain. The main discussion topics and agreed conclusions were collected by meeting coordinators and shared at a meeting held in May 2011. After extensive discussions, which also included other organizational and educational matters, some newly agreed conclusions were reached. Results The consensus was that an HRF patient is usually thought of as being elderly (aged >70 years), with a very low bone mass or a prevalent fracture, and some other associated risk factors. High-risk groups who were identified included patients with neurologic diseases, institutionalized individuals, and patients receiving long-term steroid therapy. PTH1-84 was considered a safe and effective drug, having added value because of its analgesic effect and good level of patient adherence. Opportunities for improved PTH1-84 use were identified, such as better patient selection and follow-up based on localization and specialty. Some improvement opportunities were also detected in organizational and educational areas. Conclusion The Forum identified differences between clinical recommendations and daily clinical practice. Some elements, involving both organizational and educational areas that could help to reduce such discrepancies, are described.
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Affiliation(s)
- Esteban Jódar Gimeno
- Servicio de Endocrinología y Nutrición Clínica, Hospital Universitario Quirón, Madrid, Spain
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Azagra R, Roca G, Encabo G, Aguyé A, Zwart M, Güell S, Puchol N, Gene E, Casado E, Sancho P, Solà S, Torán P, Iglesias M, Gisbert MC, López-Expósito F, Pujol-Salud J, Fernandez-Hermida Y, Puente A, Rosàs M, Bou V, Antón JJ, Lansdberg G, Martín-Sánchez JC, Díez-Pérez A, Prieto-Alhambra D. FRAX® tool, the WHO algorithm to predict osteoporotic fractures: the first analysis of its discriminative and predictive ability in the Spanish FRIDEX cohort. BMC Musculoskelet Disord 2012; 13:204. [PMID: 23088223 PMCID: PMC3518201 DOI: 10.1186/1471-2474-13-204] [Citation(s) in RCA: 58] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2011] [Accepted: 10/09/2012] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND The WHO has recently published the FRAX® tool to determine the absolute risk of osteoporotic fracture at 10 years. This tool has not yet been validated in Spain. METHODS/DESIGN A prospective observational study was undertaken in women in the FRIDEX cohort (Barcelona) not receiving bone active drugs at baseline. Baseline measurements: known risk factors including those of FRAX® and a DXA. Follow up data on self-reported incident major fractures (hip, spine, humerus and wrist) and verified against patient records. The calculation of absolute risk of major fracture and hip fracture was by FRAX® website. This work follows the guidelines of the STROBE initiative for cohort studies. The discriminative capacity of FRAX® was analyzed by the Area Under Curve (AUC), Receiver Operating Characteristics (ROC) and the Hosmer-Lemeshow goodness-of-fit test. The predictive capacity was determined using the ratio of observed fractures/expected fractures by FRAX® (ObsFx/ExpFx). RESULTS The study subjects were 770 women from 40 to 90 years of age in the FRIDEX cohort. The mean age was 56.8 ± 8 years. The fractures were determined by structured telephone questionnaire and subsequent testing in medical records at 10 years. Sixty-five (8.4%) women presented major fractures (17 hip fractures). Women with fractures were older, had more previous fractures, more cases of rheumatoid arthritis and also more osteoporosis on the baseline DXA. The AUC ROC of FRAX® for major fracture without bone mineral density (BMD) was 0.693 (CI 95%; 0.622-0.763), with T-score of femoral neck (FN) 0.716 (CI 95%; 0.646-0.786), being 0.888 (CI 95%; 0.824-0.952) and 0.849 (CI 95%; 0.737-0.962), respectively for hip fracture. In the model with BMD alone was 0.661 (CI 95%; 0.583-0.739) and 0.779 (CI 95%; 0.631-0.929). In the model with age alone was 0.668 (CI 95%; 0.603-0.733) and 0.882 (CI 95%; 0.832-0.936). In both cases there are not significant differences against FRAX® model. The overall predictive value for major fracture by ObsFx/ExpFx ratio was 2.4 and 2.8 for hip fracture without BMD. With BMD was 2.2 and 2.3 respectively. Sensitivity of the four was always less than 50%. The Hosmer-Lemeshow test showed a good correlation only after calibration with ObsFx/ExpFx ratio. CONCLUSIONS The current version of FRAX® for Spanish women without BMD analysed by the AUC ROC demonstrate a poor discriminative capacity to predict major fractures but a good discriminative capacity for hip fractures. Its predictive capacity does not adjust well because leading to underdiagnosis for both predictions major and hip fractures. Simple models based only on age or BMD alone similarly predicted that more complex FRAX® models.
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Affiliation(s)
- Rafael Azagra
- Department of Medicine, Universitat Autònoma de Barcelona (UAB), Psg Vall d’Hebrón 119-129, 08035, Barcelona, Spain
- Badia del Vallès Health Centre, Catalan Health Institute. USR-MN-IDIAP Jordi Gol. c/ Bética s/n, 08214, Barcelona, Badia del Vallès, Spain
- Doctorate Program, Department of Medicine, Universitat Autònoma de Barcelona (UAB). Psg Vall d’Hebrón 119–129, 08035, Barcelona, Spain
| | - Genís Roca
- Doctorate Program, Department of Medicine, Universitat Autònoma de Barcelona (UAB). Psg Vall d’Hebrón 119–129, 08035, Barcelona, Spain
- Sant Llàtzer Health Centre, Sanitary Consortium of Terrassa. c/ de la Riba 62, 08221, Barcelona, Terrassa, Spain
| | - Gloria Encabo
- Nuclear Medicine Service, Vall d’Hebrón University Hospital. Psg Vall d’Hebrón 119–129, 08035, Barcelona, Spain
| | - Amada Aguyé
- Granollers Centre Health Centre, Catalan Health Institute. c/ Museu 19, 08400, Barcelona, Granollers, Spain
| | - Marta Zwart
- Doctorate Program, Department of Medicine, Universitat Autònoma de Barcelona (UAB). Psg Vall d’Hebrón 119–129, 08035, Barcelona, Spain
- Can Gibert del Plà-Girona-2 Health Centre, Catalan Health Institute. c/ Sant Sebastià 50, 17005, Girona, Spain
| | - Sílvia Güell
- Montcada i Reixach Health Centre, Catalan Health Institute. Psg de Jaume I s/n, 08110, Barcelona, Montcada i Reixac, Spain
| | - Núria Puchol
- Badia del Vallès Health Centre, Catalan Health Institute. USR-MN-IDIAP Jordi Gol. c/ Bética s/n, 08214, Barcelona, Badia del Vallès, Spain
| | - Emili Gene
- Emergency Department, Hospital de Sabadell, Sanitary Consortium of Parc Taulí, Universitat Autònoma de Barcelona. Parc Tauli s/n, 08208, Barcelona, Sabadell, Spain
- Universitat Internacional de Catalunya (UIC), c/ Josep Trueta s/n 08195 Sant Cugat del Vallès, Barcelona, Spain
| | - Enrique Casado
- Rheumatology Department, Hospital de Sabadell, Sanitary Consortium of Parc Taulí, Universitat Autònoma de Barcelona. Parc Tauli s/n, 08208, Barcelona, Sabadell, Spain
| | - Pilar Sancho
- Corbera de Llobregat Health Centre, Catalan Health Institute. c/ Buenos Aires, 9, 08757, Barcelona, Corbera de Llobregat, Spain
| | - Silvia Solà
- Emergency Department, University Hospital of Bellvitge, Catalan Health Institute. University of Barcelona. c/ de la Feixa Llarga s/n, 08907, Barcelona, L'Hospitalet de Llobregat, Spain
| | - Pere Torán
- Primary Health Research Support Unit Metropolitana Nord, Catalan Health Institute-IDIAP Jordi Gol. Rambla 227, 08223, Barcelona, Sabadell, Spain
| | - Milagros Iglesias
- Badia del Vallès Health Centre, Catalan Health Institute. USR-MN-IDIAP Jordi Gol. c/ Bética s/n, 08214, Barcelona, Badia del Vallès, Spain
| | - Maria Carmen Gisbert
- Cabrils Health Centre, Catalan Health Institute. c/ Cal Batalló 3, 08348, Cabrils, Barcelona, Spain
| | - Francesc López-Expósito
- Department of Medicine, Universitat Autònoma de Barcelona (UAB), Psg Vall d’Hebrón 119-129, 08035, Barcelona, Spain
- Bon Pastor Health Centre. Health Institute. c/ Mollerussa s/n, 08030, Barcelona, Spain
| | - Jesús Pujol-Salud
- Balaguer Health Centre, Catalan Health Institute. Universitat de Lleida. c/ Àngel Guimerà, 24 25600, Lleida, Balaguer, Spain
| | - Yolanda Fernandez-Hermida
- Doctorate Program, Department of Medicine, Universitat Autònoma de Barcelona (UAB). Psg Vall d’Hebrón 119–129, 08035, Barcelona, Spain
- Botnar Research Centre, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, OX3 7LD, UK
| | - Ana Puente
- Taradell Health Centre, Catalan Health Institute, C. Passeig del Pujaló, 5, 08552, Barcelona, Taradell, Spain
| | - Mireia Rosàs
- Granollers Centre Health Centre, Catalan Health Institute. c/ Museu 19, 08400, Barcelona, Granollers, Spain
| | - Vicente Bou
- Sanllehy Health Centre. Catalan Health Institute. Av. Mare de Déu de Montserrat, 16–18, 08024, Barcelona, Spain
| | - Juan José Antón
- Poble Sec 3B Health Centre, CAP Manso. Catalan Health Institute. c/ Manso, 19–27, 08015, Barcelona, Spain
| | - Gustavo Lansdberg
- Universidade de José do Rosàrio Vellano. UNIFENAS, Belo Horizonte. Rua Libano - Bairro Itapoã 66, Belo Horizonte, 31710-030, Minas Gerais, Brasil
| | - Juan Carlos Martín-Sánchez
- Universitat Internacional de Catalunya (UIC), c/ Josep Trueta s/n 08195 Sant Cugat del Vallès, Barcelona, Spain
| | - Adolf Díez-Pérez
- Institut Municipal d'Investigacions Mèdiques (IMIM)-Parc de Salut Mar, URFOA, Internal Medicine, Universitat Autònoma de Barcelona. Psg Marítim 25, 08003, Barcelona, Spain
| | - Daniel Prieto-Alhambra
- Botnar Research Centre, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, OX3 7LD, UK
- Institut Municipal d'Investigacions Mèdiques (IMIM)-Parc de Salut Mar, URFOA, Internal Medicine, Universitat Autònoma de Barcelona. Psg Marítim 25, 08003, Barcelona, Spain
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[New evidence on the discriminant and predictive capacity of the FRAX(®) tool in a Spanish female population]. Aten Primaria 2011; 44:297-9. [PMID: 22019062 DOI: 10.1016/j.aprim.2011.09.004] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2011] [Accepted: 09/05/2011] [Indexed: 11/22/2022] Open
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Zwart M, Azagra R, Encabo G, Aguye A, Roca G, Güell S, Puchol N, Gene E, López-Expósito F, Solà S, Ortiz S, Sancho P, Abado L, Iglesias M, Pujol-Salud J, Diez-Perez A. Measuring health-related quality of life in men with osteoporosis or osteoporotic fracture. BMC Public Health 2011; 11:775. [PMID: 21981790 PMCID: PMC3209463 DOI: 10.1186/1471-2458-11-775] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2011] [Accepted: 10/09/2011] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Osteoporosis is a serious health problem that worsens the quality of life and the survival rate of individuals with this disease on account the osteoporotic fractures. Studies have long focused on women, and its presence in men has been underestimated. While many studies conducted in different countries mainly assess health-related quality of life and identify fracture risks factors in women, few data are available on a Spanish male population. METHODS/DESIGN Observational study. STUDY POPULATION Men ≥ 40 years of age with/without diagnosed osteoporosis and with/without osteoporotic fracture included by their family doctor. MEASUREMENTS The relationship between customary clinical risk factors for osteoporotic fracture and health-related quality of life in a Spanish male population. A telephone questionnaire on health-related quality of life is made. STATISTICAL ANALYSIS The association between qualitative variables will be assessed by the Chi-square test. The distribution of quantitative variables by Student's t-test. If the conditions for using this test are not met, the non-parametric Mann-Whitney's U test will be used.The validation of the results obtained by the FRAX™ tool will be performed by way of the Hosmer-Lemeshow test and by calculating the area under the Receiver Operating Characteristic (ROC) curve (AUC). All tests will be performed with a confidence intervals set at 95%. DISCUSSION The applicability and usefulness of Health-related quality of life (HRQOL) studies are well documented in many countries. These studies allow implementing cost-effective measures in cases of a given disease and reducing the costly consequences derived therefrom. This study attempts to provide objective data on how quality of life is affected by the clinical aspects involved in osteoporosis in a Spanish male population and can be useful as well in cost utility analyses conducted by health authorities.The sample selected is not based on a high fracture risk group. Rather, it is composed of men in the general population, and accordingly comparisons should not lead to erroneous interpretations.A possible bias correction will be ensured by checking reported fractures against healthcare reports and X-rays, or by consulting health care centers as applicable.
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Affiliation(s)
- Marta Zwart
- EAP Can Gibert del Plà- Girona-2 Health Centre, Catalan Health Institute, Carrer Sant Sebastià 50, 17005 Girona, Spain.
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Age, race, weight, and gender impact normative values of bone mineral density. ACTA ACUST UNITED AC 2011; 8:189-201. [PMID: 21664585 DOI: 10.1016/j.genm.2011.04.004] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2010] [Revised: 04/05/2011] [Accepted: 04/18/2011] [Indexed: 11/20/2022]
Abstract
BACKGROUND Osteoporosis and fractures represent a major public health issue. Accurate normative reference bone mineral density (BMD) values are vital for diagnosing osteoporosis. The generalizability of the T-score method across gender, race, and age in clinic decision-making has been debated. Our aim was to identify the best statistical model to derive normative BMD values in both men and women in the multiethnic United States population. METHODS The Third National Health and Nutrition Examination Survey was used as a data source. Gender- and race/ethnicity-stratified data analyses and modeling were conducted on 9779 persons (ages 20 to 65 years) who reported no conditions or medications likely to affect bone metabolism. Sampling and design effects were addressed using STATA 10. Model comparisons were conducted by partial F tests and residual plots. RESULTS Polynomial regression provided a statistically significant better fit than linear regression in predicting normative BMD in both men and women. Age-centered polynomial models provided the best model for predicting normative BMD values. CONCLUSION The gender- and race-specific lower limit of normal values obtained created a new classification method of low BMD, which might mitigate some of the T-score limitations in men and minority populations.
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Tebé C, del Río LM, Casas L, Estrada MD, Kotzeva A, Di Gregorio S, Espallargues M. [Risk factors for fragility fractures in a cohort of Spanish women]. GACETA SANITARIA 2011; 25:507-12. [PMID: 21955641 DOI: 10.1016/j.gaceta.2011.06.007] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/04/2011] [Revised: 06/28/2011] [Accepted: 06/29/2011] [Indexed: 11/25/2022]
Abstract
INTRODUCTION Fragility fractures are an important public health issue. The aim of this study was to analyze the association of the main osteoporotic risk factors related to fragility fracture in a cohort of women with an indication of bone densitometry (BD). METHODS A retrospective cohort was followed-up until a fragile fracture occurred, in a population of women aged 40 to 90 years with a first visit for BD between January 1992 and February 2008. We calculated the incidence rate of fracture per 1000 women-years of follow-up, and the hazard ratio (HR) of fragile fracture using a Cox regression model. RESULTS A total of 49,735 women were studied. The average age of participants was 57.8 years (SD: 8.5). Of these, 3631 women (7.1%) reported a new fragility fracture in post-baseline visits. Risk factors with higher adjusted HR were age ≥ 75 years compared with age < 55 years (HR: 3.8; 95% CI: 3.3-4.4) and having a BC result evaluated as osteoporosis compared to normal (HR: 2.0; 95% CI: 1.8-2.2). A personal history of humerus, hip or vertebral fractures had an adjusted HR of 1.2 (95% CI: 1.1-1.3). CONCLUSIONS The main risk factors for fragility fracture were advanced age, BD result and a personal history of fracture, although 74% of fractures were detected with a bone mineral density classified as normal or osteopenia. Other relevant factors were rheumatoid arthritis or having received prolonged corticosteroid therapy.
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Affiliation(s)
- Cristian Tebé
- Agència d'Informació, Avaluació i Qualitat en Salut (AIAQS), Barcelona, España.
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Azagra R, Zwart M, Aguyé A, Encabo G. [Precautions required on using the predictive thresholds of the FRAX® tool to decide the need for an axial bone density scan in the Spanish population]. Aten Primaria 2011; 44:183-4. [PMID: 21855178 DOI: 10.1016/j.aprim.2011.03.012] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2011] [Accepted: 03/21/2011] [Indexed: 10/17/2022] Open
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Azagra R, Roca G, Zwart M, Encabo G. [Differences in the predictive values of the FRAX™ tool between the Spanish and United Kingdom population and considerations about the intervention threshold]. Med Clin (Barc) 2011; 137:713-4. [PMID: 21601890 DOI: 10.1016/j.medcli.2011.03.021] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2011] [Accepted: 03/15/2011] [Indexed: 11/18/2022]
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