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Schini M, Johansson H, Harvey NC, Lorentzon M, Kanis JA, McCloskey EV. An overview of the use of the fracture risk assessment tool (FRAX) in osteoporosis. J Endocrinol Invest 2024; 47:501-511. [PMID: 37874461 PMCID: PMC10904566 DOI: 10.1007/s40618-023-02219-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Accepted: 10/03/2023] [Indexed: 10/25/2023]
Abstract
FRAX®, a simple-to-use fracture risk calculator, was first released in 2008 and since then has been used increasingly worldwide. By calculating the 10-year probabilities of a major osteoporotic fracture and hip fracture, it assists clinicians when deciding whether further investigation, for example a bone mineral density measurement (BMD), and/or treatment is needed to prevent future fractures. In this review, we explore the literature around osteoporosis and how FRAX has changed its management. We present the characteristics of this tool and describe the use of thresholds (diagnostic and therapeutic). We also present arguments as to why screening with FRAX should be considered. FRAX has several limitations which are described in this review. This review coincides with the release of a version, FRAXplus, which addresses some of these limitations.
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Affiliation(s)
- M Schini
- Department of Oncology & Metabolism, Metabolic Bone Centre, Northern General Hospital, University of Sheffield, Herries Road, Sheffield, S5 7AU, UK.
| | - H Johansson
- Sahlgrenska Osteoporosis Centre, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
| | - N C Harvey
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospitals Southampton NHS Foundation Trust, Southampton, UK
| | - M Lorentzon
- Sahlgrenska Osteoporosis Centre, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
| | - J A Kanis
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
- Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK
| | - E V McCloskey
- Department of Oncology & Metabolism, Metabolic Bone Centre, Northern General Hospital, University of Sheffield, Herries Road, Sheffield, S5 7AU, UK
- Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK
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Nilsson T, Svensson M, Falkenström F, Perrin S, Johansson H, Viborg G, Sandell R. Effects of panic-specific cognitive behavioural and psychodynamic psychotherapies on work ability in a doubly randomised clinical trial. Psychother Res 2024; 34:137-149. [PMID: 37127937 DOI: 10.1080/10503307.2023.2190044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Accepted: 03/08/2023] [Indexed: 05/03/2023] Open
Abstract
Objective: The effects of panic-specific psychotherapy on occupational functioning remain under-researched. This study tests whether two brief psychotherapies for Panic Disorder with or without Agoraphobia (PD/A) may generate improvement in work ability. Methods: Adults (N = 221) with a primary diagnosis of PD/A were randomised to wait-list, panic-focused psychodynamic psychotherapy (PFPP), panic control treatment (PCT), or to the choice between the two treatments. Participants completed the Work Ability Inventory (WAI) at baseline, post-treatment, and during 24-month follow-ups. Change in WAI scores were assessed using segmented multilevel linear growth models, and mediation was explored through path analysis. Results: WAI scores changed from the moderate to good range between baseline and post-treatment (SMD = 0.45; 95% CI [0.33, 0.57]) and continued to increase throughout the follow-up (SMD = 0.16; 95% CI [0.03, 0.28]) with no differences between treatments or allocation forms. In PFPP (but not in PCT) pre- to post-treatment change in WAI was mediated by reduction in panic symptoms and WAI predicted employment status and absences. Conclusions: Two brief panic specific psychotherapies, one cognitive behavioural and one psychodynamic, produced short and long-term increases in work ability.
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Affiliation(s)
| | | | | | - Sean Perrin
- Department of Psychology, Lund University, Lund, Sweden
| | | | - Gardar Viborg
- Department of Psychology, Lund University, Lund, Sweden
| | - Rolf Sandell
- Department of Psychology, Lund University, Lund, Sweden
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Sandell R, Falkenström F, Svensson M, Nilsson T, Johansson H, Viborg G, Perrin S. Moderators of short- and long-term outcomes in panic control treatment and panic-focused psychodynamic psychotherapy. Psychother Res 2024:1-11. [PMID: 38289698 DOI: 10.1080/10503307.2023.2294888] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Accepted: 12/08/2023] [Indexed: 02/01/2024] Open
Abstract
OBJECTIVE The objective was to test the hypothesis that externalizing and internalizing helpfulness beliefs and learning styles at baseline moderate panic severity and overall mental illness as short-term and long-term outcomes of two panic-focused psychotherapies, Panic Control Treatment (PCT) and Panic-Focused Psychodynamic Psychotherapy (PFPP). METHOD Participants were 108 adults with DSM-IV Panic Disorder with or without Agoraphobia (PD/A) who were randomized to treatment in a trial of PCT and PFPP. Piece-wise/segmented multilevel modeling was used to test three-way interactions (Treatments × Moderator × Time), with participants and therapists as random factors. Outcome variables were clinician-rated panic severity and self-rated mental illness post-treatment and during follow-up. RESULTS Patients' externalizing (but not internalizing) helpfulness beliefs moderated mental illness outcomes during follow-up (but not during treatment); low levels of Externalization were facilitative for PFPP but not PCT. Internalizing and externalizing helpfulness beliefs and learning style did not moderate clinician-rated panic severity, whether short- or long-term. CONCLUSIONS These results suggest that helpfulness beliefs and learning style have limited use in assignment to either PCT or PFPP for PD/A. Although further research is needed, low levels of helpfulness beliefs about externalizing coping may play a role in mental illness outcomes for PFPP.
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Kanis JA, 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, 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, Vandenput L, Harvey NC, Lorentzon M, Leslie WD. Previous fracture and subsequent fracture risk: a meta-analysis to update FRAX. Osteoporos Int 2023; 34:2027-2045. [PMID: 37566158 PMCID: PMC7615305 DOI: 10.1007/s00198-023-06870-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Accepted: 07/22/2023] [Indexed: 08/12/2023]
Abstract
A large international meta-analysis using primary data from 64 cohorts has quantified the increased risk of fracture associated with a previous history of fracture for future use in FRAX. INTRODUCTION The aim of this study was to quantify the fracture risk associated with a prior fracture on an international basis and to explore the relationship of this risk with age, sex, time since baseline and bone mineral density (BMD). METHODS We studied 665,971 men and 1,438,535 women from 64 cohorts in 32 countries followed for a total of 19.5 million person-years. The effect of a prior history of fracture on the risk of any clinical fracture, any osteoporotic fracture, major osteoporotic fracture, and hip fracture alone was examined using an extended Poisson model in each cohort. Covariates examined were age, sex, BMD, and duration of follow-up. The results of the different studies were merged by using the weighted β-coefficients. RESULTS A previous fracture history, compared with individuals without a prior fracture, was associated with a significantly increased risk of any clinical fracture (hazard ratio, HR = 1.88; 95% CI = 1.72-2.07). The risk ratio was similar for the outcome of osteoporotic fracture (HR = 1.87; 95% CI = 1.69-2.07), major osteoporotic fracture (HR = 1.83; 95% CI = 1.63-2.06), or for hip fracture (HR = 1.82; 95% CI = 1.62-2.06). There was no significant difference in risk ratio between men and women. Subsequent fracture risk was marginally downward adjusted when account was taken of BMD. Low BMD explained a minority of the risk for any clinical fracture (14%), osteoporotic fracture (17%), and for hip fracture (33%). The risk ratio for all fracture outcomes related to prior fracture decreased significantly with adjustment for age and time since baseline examination. CONCLUSION A previous history of fracture confers an increased risk of fracture of substantial importance beyond that explained by BMD. The effect is similar in men and women. Its quantitation on an international basis permits the more accurate use of this risk factor in case finding strategies.
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Affiliation(s)
- J A Kanis
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia.
- Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK.
| | - H Johansson
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
- Sahlgrenska Osteoporosis Centre, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
| | - 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 Centre Badia del Valles, Catalan Institute of Health, Barcelona, Spain
- PRECIOSA-Fundación para la investigación, Barberà del Vallés, 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
- Department of Health Services Research, University of Maastricht, Maastricht, the Netherlands
| | - 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, School of Public Health, University of Pittsburgh, Pittsburgh, Philadelphia, USA
| | - J R Center
- Skeletal Diseases Program, Garvan Institute of Medical Research, Sydney, NSW, Australia
- St Vincent's Clinical School, School of Medicine and Health, 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, Université Claude Bernard-Lyon1, Hôpital Edouard Herriot, Lyon, France
| | | | - C Cooper
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospitals Southampton NHS Foundation Trust, Southampton, UK
- NIHR 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, Centro Hospitalar e Universitário de 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 Senior Life, Boston, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
| | - J A Eisman
- Skeletal Diseases Program, Garvan Institute of Medical Research, Sydney, NSW, Australia
- St Vincent's Clinical School, School of Medicine and Health, University of New South Wales Sydney, Sydney, NSW, Australia
- School of Medicine Sydney, University of Notre Dame Australia, Sydney, NSW, Australia
| | - P J M Elders
- Petra JM Elders Department of General Practice, Amsterdam UMC, location AMC, 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
- Center for Medical Education and Clinical Training, Kindai University Faculty of Medicine, 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
- Interdisciplinary Centre of Bone Diseases, Bone and Joint Department, Lausanne University Hospital (CHUV) & University of Lausanne, 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, Kindai University Faculty of Medicine, 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 Orthopedics, 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 Senior Life, 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, Victoria, Australia
- Barwon Health, Geelong, Victoria, 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
- HUNT Research Centre, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, 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 AMC, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - A Nordström
- School of Sport Sciences, UiT The Arctic University of Norway, Tromsø, Norway
- Department of Health Sciences, Swedish Winter Sports Research Centre, Mid Sweden University, Östersund, Sweden
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - P Nordström
- Department of Public Health and Caring Sciences, Uppsala University, Uppsala, 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
- IMPACT (Institute for Mental and Physical Health and Clinical Translation), Deakin University, Geelong, Victoria, Australia
- Barwon Health, Geelong, Victoria, Australia
- Department of Medicine -Western Health, The University of Melbourne, St Albans, Victoria, Australia
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia
| | - F Rivadeneira
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - 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
| | - E Sornay-Rendu
- INSERM UMR 1033, University of Lyon, Hôpital Edouard Herriot, Lyon, France
| | - R Sund
- Kuopio Musculoskeletal Research Unit, University of Eastern Finland, Kuopio, Finland
| | - K M A Swart
- Petra JM Elders Department of General Practice, Amsterdam UMC, location AMC, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
- PHARMO Institute for Drug Outcomes Research, Utrecht, 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
- PRECIOSA-Fundación para la investigación, Barberà del Vallés, Barcelona, Spain
- Health Center Can Gibert del Plà, Catalan Institute of Health, Girona, Spain
- Department of Medical Sciences, University of Girona, Girona, Spain
- GROIMAP/GROICAP (research groups), Unitat de Suport a la Recerca Girona, Institut Universitari d'Investigació en Atenció Primària Jordi Gol, Girona, Spain
| | - 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
| | - N C Harvey
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospitals 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
| | - W D Leslie
- Department of Medicine, University of Manitoba, Winnipeg, Manitoba, Canada
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Albergaria BH, Zerbini CAF, Lazaretti-Castro M, Eis SR, Vilaca T, Johansson H, Harvey NC, Liu E, Vandenput L, Lorentzon M, Schini M, McCloskey E, Kanis JA. A new FRAX model for Brazil. Arch Osteoporos 2023; 18:144. [PMID: 38015253 PMCID: PMC10684424 DOI: 10.1007/s11657-023-01354-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Accepted: 11/15/2023] [Indexed: 11/29/2023]
Abstract
Fracture probabilities derived from the original FRAX model for Brazil were compared to those from an updated model based on more recent regional estimates of the incidence of hip fracture. Fracture probabilities were consistently lower in the updated FRAX model. Despite large differences between models, differences in the rank order of fracture probabilities were minimal. OBJECTIVE Recent epidemiological data indicate that the risk of hip fracture in Brazil is lower than that used to create the original FRAX model. This paper describes the epidemiology of hip fracture in Brazil and the synthesis of an updated FRAX model with the aim of comparing this new model with the original model. METHODS Hip fracture rates from three cities in three regions were combined, weighted by the population of each region. For other major fractures, incidence rates for Brazil were estimated using Swedish ratios for hip to other major osteoporotic fracture (humerus, forearm or clinical vertebral fractures). Mortality estimates were taken from the UN. RESULTS Compared to the original FRAX model, the updated model gave lower 10-year fracture probabilities in men and women at all ages. Notwithstanding, there was a very close correlation in fracture probabilities between the original and updated models (r > 0.99) so that the revisions had little impact on the rank order of risk. CONCLUSION The disparities between the original and updated FRAX models indicate the importance of updating country-specific FRAX models with the advent of significant changes in fracture epidemiology.
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Affiliation(s)
- B H Albergaria
- Osteoporosis Research and Diagnosis Center - CEDOES, Vitoria, Brazil
- Federal University of Espirito Santo, Vitoria, Brazil
| | - C A F Zerbini
- Centro Paulista de Investigação Clinica, Sao Paulo, Brazil
| | | | - S R Eis
- Osteoporosis Research and Diagnosis Center - CEDOES, Vitoria, Brazil
| | - T Vilaca
- Mellanby Centre for Musculoskeletal Research, Department of Oncology and Metabolism, University of Sheffield, Sheffield, UK
| | - H Johansson
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
- Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK
- Sahlgrenska Osteoporosis Centre, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
| | - 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
| | - E Liu
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
| | - L Vandenput
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
| | - M Lorentzon
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
- Sahlgrenska Osteoporosis Centre, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
| | - M Schini
- Mellanby Centre for Musculoskeletal Research, Department of Oncology and Metabolism, University of Sheffield, Sheffield, UK
| | - E McCloskey
- Mellanby Centre for Musculoskeletal Research, Department of Oncology and Metabolism, University of Sheffield, Sheffield, UK
- Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK
| | - J A Kanis
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia.
- Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK.
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Schini M, Bhatia P, Shreef H, Johansson H, Harvey NC, Lorentzon M, Kanis JA, Bandmann O, McCloskey EV. Increased fracture risk in Parkinson's disease - An exploration of mechanisms and consequences for fracture prediction with FRAX. Bone 2023; 168:116651. [PMID: 36574893 DOI: 10.1016/j.bone.2022.116651] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Revised: 12/19/2022] [Accepted: 12/20/2022] [Indexed: 12/25/2022]
Abstract
The relative contributions of factors such as muscle strength, falls risk and low bone mineral density (BMD) to increased fracture risk in Parkinson's Disease (PD) were examined in an analysis of 5212 community-dwelling women age 75 years or more recruited to a randomised, double-blind, placebo-controlled study of the oral bisphosphonate, clodronate. Similar number of PD and non-PD subjects received treatment. Each participant had measurements of hip and forearm BMD, muscle strength (hand grip strength and maximum isometric quadriceps strength), ability in the sit-to-stand test, and postural stability. Incident radiographic and/or surgically verified fractures, and deaths, were recorded over an average follow-up of 3.8 years. A diagnosis of PD was made if it was self-reported and appropriate medication was recorded at the study entry. 47 of the women (0.9 %) had a diagnosis of PD at baseline. They were of similar age to those without PD, but reported higher disability scores and lower quality of life. While BMD at the forearm and hip regions was lower in PD, this only reached statistical significance at the femoral neck (0.61 ± 0.12 vs 0.65 ± 0.12 g/cm2, p = 0.037). Right hand grip strength was non-significantly lower in PD, but maximum right quadriceps strength was much reduced (96.9 ± 49.3 vs 126.3 ± 59.2 N, p = 0.003). Eleven (23.4 %) of the women with PD sustained 12 fractures, while 609 women (11.8 %) without PD sustained 742 osteoporotic fractures. The risk of osteoporotic fracture associated with PD was 2.24-fold higher in women with PD (Cox-regression HR 2.24, 95 % CI 1.23-4.06) and this remained high when adjusted for death as a competing risk (2.17, 95 % CI 1.17-4.01, p = 0.013). Following adjustment for femoral neck BMD, PD remained a significant predictor of fracture (HR 2.04, 1.12-3.70, p = 0.020). Entering PD as a risk variable using the rheumatoid arthritis input as a surrogate resulted in a reduction in PD as a FRAX-independent risk factor, particularly when BMD was included in FRAX (1.65, 95 % CI), but the relationship between PD and fracture risk appears to remain of clinical significance. The study suggests that PD may be an independent input in future iterations of FRAX, possibly due to non-skeletal components of risk such as reduced lower limb muscle strength. Introducing measures of muscle strength and performance in FRAX could also be considered.
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Affiliation(s)
- M Schini
- Mellanby Centre for Musculoskeletal Research, MRC Versus Arthritis Centre for Integrated research in Musculoskeletal Ageing, Department of Oncology & Metabolism, University of Sheffield, Sheffield, United Kingdom
| | - P Bhatia
- Mellanby Centre for Musculoskeletal Research, MRC Versus Arthritis Centre for Integrated research in Musculoskeletal Ageing, Department of Oncology & Metabolism, University of Sheffield, Sheffield, United Kingdom
| | - H Shreef
- Mellanby Centre for Musculoskeletal Research, MRC Versus Arthritis Centre for Integrated research in Musculoskeletal Ageing, Department of Oncology & Metabolism, University of Sheffield, Sheffield, United Kingdom
| | - H Johansson
- Sahlgrenska Osteoporosis Centre, Institute of Medicine, University of Gothenburg, Sweden; Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
| | - N C Harvey
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, United Kingdom; NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospitals Southampton NHS Foundation Trust, Southampton, United Kingdom
| | - M Lorentzon
- Sahlgrenska Osteoporosis Centre, Institute of Medicine, University of Gothenburg, Sweden; Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
| | - J A Kanis
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia; Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, United Kingdom
| | - O Bandmann
- Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, United Kingdom
| | - E V McCloskey
- Mellanby Centre for Musculoskeletal Research, MRC Versus Arthritis Centre for Integrated research in Musculoskeletal Ageing, Department of Oncology & Metabolism, University of Sheffield, Sheffield, United Kingdom; Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, United Kingdom.
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7
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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: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [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
UNLABELLED 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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Johansson L, Johansson H, Axelsson KF, Litsne H, Harvey NC, Liu E, Leslie WD, Vandenput L, McCloskey E, Kanis JA, Lorentzon M. Improved fracture risk prediction by adding VFA-identified vertebral fracture data to BMD by DXA and clinical risk factors used in FRAX. Osteoporos Int 2022; 33:1725-1738. [PMID: 35451623 PMCID: PMC9499899 DOI: 10.1007/s00198-022-06387-x] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Accepted: 03/22/2022] [Indexed: 11/11/2022]
Abstract
Vertebral fracture (VF) is a strong predictor of subsequent fracture. In this study of older women, VF, identified by dual-energy X-ray absorptiometry (DXA) vertebral fracture assessment (VFA), were associated with an increased risk of incident fractures and had a substantial impact on fracture probability, supporting the utility of VFA in clinical practice. PURPOSE Clinical and occult VF can be identified using VFA with dual-energy X-ray absorptiometry (DXA). The aim of this study was to investigate to what extent VFA-identified VF improve fracture risk prediction, independently of bone mineral density (BMD) and clinical risk factors used in FRAX. METHODS A total of 2852 women, 75-80 years old, from the prospective population-based study SUPERB cohort, were included in this study. At baseline, BMD was measured by DXA, VF diagnosed by VFA, and questionnaires used to collect data on risk factors for fractures. Incident fractures were captured by X-ray records or by diagnosis codes. An extension of Poisson regression was used to estimate the association between VFA-identified VF and the risk of fracture and the 5- and 10-year probability of major osteoporotic fracture (MOF) was calculated from the hazard functions for fracture and death. RESULTS During a median follow-up of 5.15 years (IQR 4.3-5.9 years), the number of women who died or suffered a MOF, clinical VF, or hip fracture was 229, 422, 160, and 124, respectively. A VFA-identified VF was associated with an increased risk of incident MOF (hazard ratio [HR] = 1.78; 95% confidence interval [CI] 1.46-2.18), clinical VF (HR = 2.88; 95% [CI] 2.11-3.93), and hip fracture (HR = 1.67; 95% [CI] 1.15-2.42), adjusted for age, height, and weight. For women at age 75 years, a VFA-identified VF was associated with 1.2-1.4-fold greater 10-year MOF probability compared with not taking VFA into account, depending on BMD. CONCLUSION Identifying an occult VF using VFA has a substantial impact on fracture probability, indicating that VFA is an efficient method to improve fracture prediction in older women.
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Affiliation(s)
- L Johansson
- Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Osteoporosis Centre, University of Gothenburg, Gothenburg, Sweden
- Department of Orthopaedics, Region Västra Götaland, Sahlgrenska University Hospital, Mölndal, Sweden
| | - H Johansson
- Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Osteoporosis Centre, University of Gothenburg, Gothenburg, Sweden
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, VIC, Australia
| | - K F Axelsson
- Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Osteoporosis Centre, University of Gothenburg, Gothenburg, Sweden
- Region Västra Götaland, Närhälsan Norrmalm Health Centre, Skövde, Sweden
| | - H Litsne
- Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Osteoporosis Centre, University of Gothenburg, Gothenburg, Sweden
| | - 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, Tremona Road, Southampton, UK
| | - E Liu
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, VIC, Australia
| | - W D Leslie
- Department of Medicine, University of Manitoba, Winnipeg, MB, Canada
| | - L Vandenput
- Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Osteoporosis Centre, University of Gothenburg, Gothenburg, Sweden
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, VIC, Australia
| | - E McCloskey
- Centre for Metabolic Bone Diseases, University of Sheffield Medical School, Sheffield, UK
- MRC Versus Arthritis Centre for Integrated Research in Musculoskeletal Ageing, Mellanby Centre for Musculoskeletal Research, University of Sheffield, Sheffield, UK
| | - J A Kanis
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, VIC, Australia
- Centre for Metabolic Bone Diseases, University of Sheffield Medical School, Sheffield, UK
| | - M Lorentzon
- Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Osteoporosis Centre, University of Gothenburg, Gothenburg, Sweden.
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, VIC, Australia.
- Department of Geriatric Medicine, Institute of Medicine, Region Västra Götaland, University of Gothenburg, Sahlgrenska University Hospital Mölndal, 43180, Mölndal, Sweden.
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Naseri H, Iraeus J, Johansson H. A numerical study on the safety belt-to-pelvis interaction. Int J Numer Method Biomed Eng 2022; 38:e3572. [PMID: 35050534 PMCID: PMC9285376 DOI: 10.1002/cnm.3572] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Revised: 01/06/2022] [Accepted: 01/15/2022] [Indexed: 06/14/2023]
Abstract
The slide of the lap belt over the iliac crest of the pelvis during vehicle frontal crashes can substantially increase the risk of some occupant injuries. A multitude of factors, related to occupants or the design of belt, are associated with this phenomenon. This study investigates safety belt-to-pelvis interaction and identifies the most influential parameters. It also explores how initial lap belt position influences the interaction between lap belt and pelvis. A finite element model of the interaction between lap belt with pelvis through a soft tissue part was created. Belt angle, belt force, belt loading rate and belt-to-body friction as belt design parameters, and pelvis angle, constitute parameters of soft tissue, and soft tissue-to-pelvis friction as occupant parameters were inspected. For the soft tissue part, subcutaneous adipose tissue with different thicknesses was created and the effect initial lap belt position may have on lap belt-to-pelvis interaction was investigated. The influential parameters have been identified as: the belt angle and belt force as belt design parameters and the pelvis angle and compressibility of soft tissue as occupant parameters. The risk for the slide of lap belt over the iliac crest of the pelvis was predicted higher as the initial lap belt positions goes superior to the pelvis. Of different submarining parameters, the lap belt angle represents the most influential one. The lap belt-to-pelvis interaction is influenced by the thickness of subcutaneous adipose tissue between lap belt and pelvis indicating a higher risk for obese occupants.
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Affiliation(s)
- Hosein Naseri
- Mechanics and Maritime SciencesChalmers University of TechnologyGothenburgSweden
- Present address:
Chalmers University of TechnologyGothenburgSweden
| | - Johan Iraeus
- Mechanics and Maritime SciencesChalmers University of TechnologyGothenburgSweden
| | - Håkan Johansson
- Mechanics and Maritime SciencesChalmers University of TechnologyGothenburgSweden
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10
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McCloskey EV, Harvey NC, Johansson H, Lorentzon M, Liu E, Vandenput L, Leslie WD, Kanis JA. Fracture risk assessment by the FRAX model. Climacteric 2022; 25:22-28. [PMID: 34319212 DOI: 10.1080/13697137.2021.1945027] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Accepted: 06/07/2021] [Indexed: 10/20/2022]
Abstract
The introduction of the FRAX algorithms has facilitated the assessment of fracture risk on the basis of fracture probability. FRAX integrates the influence of several well-validated risk factors for fracture with or without the use of bone mineral density. Since age-specific rates of fracture and death differ across the world, FRAX models are calibrated with regard to the epidemiology of hip fracture (preferably from national sources) and mortality (usually United Nations sources). Models are currently available for 73 nations or territories covering more than 80% of the world population. FRAX has been incorporated into more than 80 guidelines worldwide, although the nature of this application has been heterogeneous. The limitations of FRAX have been extensively reviewed. Arithmetic procedures have been proposed in order to address some of these limitations, which can be applied to conventional FRAX estimates to accommodate knowledge of dose exposure to glucocorticoids, concurrent data on lumbar spine bone mineral density, information on trabecular bone score, hip axis length, falls history, type 2 diabetes, immigration status and recency of prior fracture.
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Affiliation(s)
- E V McCloskey
- Centre for Metabolic Bone Diseases, University of Sheffield Medical School, Sheffield, UK
- Centre for Integrated research in Musculoskeletal Ageing (CIMA), Mellanby Centre for Musculoskeletal Research, University of Sheffield, Sheffield, UK
| | - N C Harvey
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - H Johansson
- Centre for Metabolic Bone Diseases, University of Sheffield Medical School, Sheffield, UK
- Mary McKillop Health Institute, Australian Catholic University, Melbourne, VIC, Australia
| | - M Lorentzon
- Centre for Bone and Arthritis Research (CBAR), Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Geriatric Medicine, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, University of Gothenburg, Sweden
| | - E Liu
- Mary McKillop Health Institute, Australian Catholic University, Melbourne, VIC, Australia
| | - L Vandenput
- Mary McKillop Health Institute, Australian Catholic University, Melbourne, VIC, Australia
- Geriatric Medicine, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, University of Gothenburg, Sweden
| | - W D Leslie
- Department of Internal Medicine, University of Manitoba, Winnipeg, MB, Canada
| | - J A Kanis
- Centre for Metabolic Bone Diseases, University of Sheffield Medical School, Sheffield, UK
- Mary McKillop Health Institute, Australian Catholic University, Melbourne, VIC, Australia
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Lorentzon M, Johansson H, Harvey NC, Liu E, Vandenput L, McCloskey EV, Kanis JA. Osteoporosis and fractures in women: the burden of disease. Climacteric 2022; 25:4-10. [PMID: 34319208 DOI: 10.1080/13697137.2021.1951206] [Citation(s) in RCA: 51] [Impact Index Per Article: 25.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Accepted: 06/17/2021] [Indexed: 01/09/2023]
Abstract
Osteoporosis is a disease characterized by impaired bone microarchitecture and reduced bone mineral density (BMD) resulting in bone fragility and increased risk of fracture. In western societies, one in three women and one in five men will sustain an osteoporotic fracture in their remaining lifetime from the age of 50 years. Fragility fractures, especially of the spine and hip, commonly give rise to increased morbidity and mortality. In the five largest European countries and Sweden, fragility fractures were the cause of 2.6 million disability-adjusted life years in 2016 and the fracture-related costs increased from €29.6 billion in 2010 to €37.5 billion in 2017. In the European Union and the USA, only a small proportion of women eligible for pharmacological treatment are being prescribed osteoporosis medication. Secondary fracture prevention, using Fracture Liaison Services, can be used to increase the rates of fracture risk assessment, BMD testing and use of osteoporosis medication in order to reduce fracture numbers. Additionally, established primary prevention strategies, based on case-finding methods utilizing fracture prediction tools, such as FRAX, to identify women without fracture but with elevated risk, are recommended in order to further reduce fracture numbers.
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Affiliation(s)
- M Lorentzon
- Sahlgrenska Osteoporosis Centre, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
- Region Västra Götaland, Department of Geriatric Medicine, Sahlgrenska University Hospital, Mölndal, Sweden
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
| | - H Johansson
- Sahlgrenska Osteoporosis Centre, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
| | - N C Harvey
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - E Liu
- Sahlgrenska Osteoporosis Centre, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
| | - L Vandenput
- Sahlgrenska Osteoporosis Centre, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
| | - E V McCloskey
- Centre for Metabolic Bone Diseases, University of Sheffield Medical School, Sheffield, UK
- MRC and Arthritis Research UK Centre for Integrated Research in Musculoskeletal Ageing, Mellanby Centre for Bone Research, University of Sheffield, Sheffield, UK
| | - J A Kanis
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
- Centre for Metabolic Bone Diseases, University of Sheffield Medical School, Sheffield, UK
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12
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Larsson BAM, Johansson L, Mellström D, Johansson H, Axelsson KF, Harvey N, Vandenput L, McCloskey E, Liu E, Sundh D, Kanis JA, Lorentzon M. One leg standing time predicts fracture risk in older women independent of clinical risk factors and BMD. Osteoporos Int 2022; 33:185-194. [PMID: 34498096 PMCID: PMC8758616 DOI: 10.1007/s00198-021-06039-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Accepted: 06/15/2021] [Indexed: 11/28/2022]
Abstract
In women of ages 75-80 years, a low one leg standing time (OLST) was associated with an increased risk of incident fractures, independently of bone mineral density and clinical risk factors. OLST contributed substantially to fracture probability, indicating that the test should be considered when evaluating fracture risk in older women. INTRODUCTION Physical function and risk of falls are important risk factors for fracture. A few previous studies have suggested that a one leg standing time (OLST) less than 10 s predicts fracture risk, but the impact of OLST, in addition to known clinical risk factors, for fracture probability is unknown. The aim of this study was to determine the independent contribution of OLST to fracture probability in older women. METHODS The Sahlgrenska University Hospital Prospective Evaluation of Risk of Bone Fractures (SUPERB) is a prospective population-based study of 3028 women 75-80 years old, recruited from the greater Gothenburg area in Sweden. At baseline, information on risk factors was collected using questionnaires, bone mineral density was measured with dual-energy X-ray absorptiometry (DXA), and OLST was performed. RESULTS During a median follow-up of 3.6 years (IQR 1.5 years), X-ray-verified incident fractures were identified using health records. OLST was available in 2405 women. OLST less than 10 s was associated with an increased risk for incident hip fracture (Hazard Ratio (HR) 3.02, 95% Confidence Interval (CI) [1.49-6.10]), major osteoporotic fracture (HR 95% CI 1.76 [1.34-1.46]), and nonvertebral fracture (HR 95% CI 1.61 [1.26-2.05]) in Cox regression analyses adjusted for age, height, and weight. Depending on BMD, the 4-year fracture probability increased by a factor of 1.3 to 1.5 in a 75-year-old woman with a low OLST (<10 s). CONCLUSION A low OLST has a substantial impact on fracture probability and should be considered when evaluating fracture risk in older women.
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Affiliation(s)
- B A M Larsson
- Sahlgrenska Osteoporosis Centre, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
| | - L Johansson
- Sahlgrenska Osteoporosis Centre, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
- Region Västra Götaland, Department of Orthopaedics, Sahlgrenska University Hospital, Mölndal, Sweden
| | - D Mellström
- Sahlgrenska Osteoporosis Centre, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
| | - H Johansson
- Sahlgrenska Osteoporosis Centre, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, VIC, Australia
| | - K F Axelsson
- Sahlgrenska Osteoporosis Centre, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
- Region Västra Götaland, Närhälsan Norrmalm Health Centre, Skövde, Sweden
| | - N Harvey
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Tremona Road, Southampton, UK
| | - L Vandenput
- Sahlgrenska Osteoporosis Centre, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, VIC, Australia
| | - E McCloskey
- Centre for Metabolic Bone Diseases, University of Sheffield Medical School, Sheffield, UK
- MRC and Arthritis Research UK Centre for Integrated Research in Musculoskeletal Ageing, Mellanby Centre for Bone Research, University of Sheffield, Sheffield, UK
| | - E Liu
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, VIC, Australia
| | - D Sundh
- Sahlgrenska Osteoporosis Centre, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
| | - J A Kanis
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, VIC, Australia
- Centre for Metabolic Bone Diseases, University of Sheffield Medical School, Sheffield, UK
| | - M Lorentzon
- Sahlgrenska Osteoporosis Centre, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden.
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, VIC, Australia.
- Region Västra Götaland, Department of Geriatric Medicine, Sahlgrenska University Hospital, Mölndal, Sweden.
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Johansson H, Naureen G, Iqbal R, Jafri L, Khan AH, Umer M, Liu E, Vandenput L, Lorentzon M, McCloskey EV, Kanis JA, Harvey NC. FRAX-based intervention thresholds for Pakistan. Osteoporos Int 2022; 33:105-112. [PMID: 34414463 DOI: 10.1007/s00198-021-06087-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Accepted: 07/26/2021] [Indexed: 10/20/2022]
Abstract
We compared, for women in Pakistan, the utility of intervention thresholds either at a T-score ≤ - 2.5 or based on a FRAX probability equivalent to women of average body mass index (BMI) with a prior fragility fracture. Whereas the FRAX-based intervention threshold identified women at high fracture probability, the T-score threshold was less sensitive, and the associated fracture risk decreased markedly with age. PURPOSE The fracture risk assessment algorithm FRAX® has been recently calibrated for Pakistan, but guidance is needed on how to apply fracture probabilities to clinical practice. METHODS The age-specific 10-year probabilities of a major osteoporotic fracture were calculated in women with average BMI to determine fracture probabilities at two potential intervention thresholds. The first comprised the age-specific fracture probabilities associated with a femoral neck T-score of - 2.5. The second approach determined age-specific fracture probabilities that were equivalent to a woman with a prior fragility fracture, without bone mineral density (BMD). The parsimonious use of BMD was additionally explored by the computation of upper and lower assessment thresholds for BMD testing. RESULTS When a BMD T-score ≤ - 2.5 was used as an intervention threshold, FRAX probabilities in women aged 50 years were approximately two-fold higher than in women of the same age but with no risk factors and average BMD. The relative increase in risk associated with the BMD threshold decreased progressively with age such that, at the age of 80 years or more, a T-score of - 2.5 was actually protective. The 10-year probability of a major osteoporotic fracture by age, equivalent to women with a previous fracture, rose with age from 2.1% at the age of 40 years to 17%, at the age of 90 years, and identified women at increased risk at all ages. CONCLUSION Intervention thresholds based on BMD alone do not effectively target women at high fracture risk, particularly in the elderly. In contrast, intervention thresholds based on fracture probabilities equivalent to a 'fracture threshold' target women at high fracture risk.
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Affiliation(s)
- H Johansson
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
- Centre for Metabolic Bone Diseases, University of Sheffield, Beech Hill Road, Sheffield, S10 2RX, UK
- Sahlgrenska Osteoporosis Centre, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
| | - G Naureen
- Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Australia
- Australian Institute for Musculoskeletal Science (AIMSS), The University of Melbourne and Western Health, Melbourne, Australia
| | - R Iqbal
- Departments of Community Health Sciences and Medicine, Aga Khan University, Karachi, Pakistan
| | - L Jafri
- Department of Pathology & Laboratory Medicine, Aga Khan University, Karachi, Pakistan
| | - A H Khan
- Department of Pathology & Laboratory Medicine, Aga Khan University, Karachi, Pakistan
| | - M Umer
- Department of Orthopaedics, Aga Khan University, Karachi, Pakistan
| | - E Liu
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
| | - L Vandenput
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
- Centre for Bone and Arthritis Research, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - M Lorentzon
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
- Sahlgrenska Osteoporosis Centre, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
| | - E V McCloskey
- Centre for Metabolic Bone Diseases, University of Sheffield, Beech Hill Road, Sheffield, S10 2RX, UK
- Department of Oncology and Metabolism, Mellanby Centre for Musculoskeletal Research, University of Sheffield, Sheffield, UK
| | - J A Kanis
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia.
- Centre for Metabolic Bone Diseases, University of Sheffield, Beech Hill Road, Sheffield, S10 2RX, UK.
| | - N C Harvey
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
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Mourkas E, Yahara K, Bayliss SC, Calland JK, Johansson H, Mageiros L, Muñoz-Ramirez ZY, Futcher G, Méric G, Hitchings MD, Sandoval-Motta S, Torres J, Jolley KA, Maiden MCJ, Ellström P, Waldenström J, Pascoe B, Sheppard SK. Host ecology regulates interspecies recombination in bacteria of the genus Campylobacter. eLife 2022; 11:73552. [PMID: 35191377 PMCID: PMC8912921 DOI: 10.7554/elife.73552] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Accepted: 02/20/2022] [Indexed: 01/16/2023] Open
Abstract
Horizontal gene transfer (HGT) can allow traits that have evolved in one bacterial species to transfer to another. This has potential to rapidly promote new adaptive trajectories such as zoonotic transfer or antimicrobial resistance. However, for this to occur requires gaps to align in barriers to recombination within a given time frame. Chief among these barriers is the physical separation of species with distinct ecologies in separate niches. Within the genus Campylobacter, there are species with divergent ecologies, from rarely isolated single-host specialists to multihost generalist species that are among the most common global causes of human bacterial gastroenteritis. Here, by characterizing these contrasting ecologies, we can quantify HGT among sympatric and allopatric species in natural populations. Analyzing recipient and donor population ancestry among genomes from 30 Campylobacter species, we show that cohabitation in the same host can lead to a six-fold increase in HGT between species. This accounts for up to 30% of all SNPs within a given species and identifies highly recombinogenic genes with functions including host adaptation and antimicrobial resistance. As described in some animal and plant species, ecological factors are a major evolutionary force for speciation in bacteria and changes to the host landscape can promote partial convergence of distinct species through HGT.
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Affiliation(s)
- Evangelos Mourkas
- The Milner Centre for Evolution, Department of Biology and Biochemistry, University of BathBathUnited Kingdom
| | - Koji Yahara
- Antimicrobial Resistance Research Center, National Institute of Infectious DiseasesTokyoJapan
| | - Sion C Bayliss
- The Milner Centre for Evolution, Department of Biology and Biochemistry, University of BathBathUnited Kingdom
| | - Jessica K Calland
- The Milner Centre for Evolution, Department of Biology and Biochemistry, University of BathBathUnited Kingdom
| | - Håkan Johansson
- Centre for Ecology and Evolution in Microbial Model Systems, Linnaeus UniversityKalmarSweden
| | - Leonardos Mageiros
- The Milner Centre for Evolution, Department of Biology and Biochemistry, University of BathBathUnited Kingdom
| | - Zilia Y Muñoz-Ramirez
- Unidad de Investigacion en Enfermedades Infecciosas, UMAE Pediatria, Instituto Mexicano del Seguro SocialMexico CityMexico
| | - Grant Futcher
- The Milner Centre for Evolution, Department of Biology and Biochemistry, University of BathBathUnited Kingdom
| | - Guillaume Méric
- The Milner Centre for Evolution, Department of Biology and Biochemistry, University of BathBathUnited Kingdom
| | | | - Santiago Sandoval-Motta
- Unidad de Investigacion en Enfermedades Infecciosas, UMAE Pediatria, Instituto Mexicano del Seguro SocialMexico CityMexico
| | - Javier Torres
- Unidad de Investigacion en Enfermedades Infecciosas, UMAE Pediatria, Instituto Mexicano del Seguro SocialMexico CityMexico
| | - Keith A Jolley
- Department of Zoology, University of OxfordOxfordUnited Kingdom
| | | | - Patrik Ellström
- Department of Medical Sciences, Zoonosis Science Centre, Uppsala UniversityUppsalaSweden
| | - Jonas Waldenström
- Centre for Ecology and Evolution in Microbial Model Systems, Linnaeus UniversityKalmarSweden
| | - Ben Pascoe
- The Milner Centre for Evolution, Department of Biology and Biochemistry, University of BathBathUnited Kingdom,Faculty of Veterinary Medicine, Chiang Mai UniversityChiang MaiThailand
| | - Samuel K Sheppard
- The Milner Centre for Evolution, Department of Biology and Biochemistry, University of BathBathUnited Kingdom,Department of Zoology, University of OxfordOxfordUnited Kingdom
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Svensson M, Nilsson T, Perrin S, Johansson H, Viborg G, Falkenström F, Sandell R. The Effect of Patient's Choice of Cognitive Behavioural or Psychodynamic Therapy on Outcomes for Panic Disorder: A Doubly Randomised Controlled Preference Trial. Psychother Psychosom 2021; 90:107-118. [PMID: 33227785 DOI: 10.1159/000511469] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Accepted: 09/04/2020] [Indexed: 11/19/2022]
Abstract
INTRODUCTION It remains unclear whether offering psychiatric patients their preferred treatment influences outcomes at the symptom level. OBJECTIVE To assess whether offering patients with panic disorder with/without agoraphobia (PD/A) a choice between 2 psychotherapies yields superior outcomes to random assignment. METHODS In a doubly randomised, controlled preference trial (DRCPT), 221 adults with PD/A were randomly assigned to: choosing panic-focused psychodynamic therapy (PFPP) or panic control treatment (PCT; a form of cognitive behavioural therapy); random assignment to PFPP or PCT; or waiting list control. Primary outcomes were PD/A severity, work status and work absences at post-treatment assessment. Outcomes at post-treatment assessment, 6-, 12-, and 24-month follow-ups were assessed using segmented multilevel linear growth models. RESULTS At post-treatment assessment, the choice and random conditions were superior to the control for panic severity but not work status/absences. The choice and random conditions did not differ during treatment or follow-up for the primary outcomes. For panic severity, PCT was superior to PFPP during treatment (standardised mean difference, SMD, -0.64; 95% confidence interval, CI, -1.02 to -0.25); PFPP was superior to PCT during follow-up (SMD 0.62; 95% CI 0.27-0.98). There was no allocation by treatment type interaction (SMD -0.57; 95% CI -1.31 to 0.17). CONCLUSIONS Previous studies have found that offering patients their preferred treatment yields small to moderate effects but have not employed designs that could rigorously test preference effects. In this first DRCPT of 2 evidence-based psychotherapies, allowing patients with PD/A to choose their preferred treatment was not associated with improved outcomes. Further DRCPTs are needed.
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Affiliation(s)
| | | | - Sean Perrin
- Department of Psychology, Lund University, Lund, Sweden
| | | | - Gardar Viborg
- Department of Psychology, Lund University, Lund, Sweden
| | - Fredrik Falkenström
- Department of Behavioural Sciences and Learning, Linköping University, Linköping, Sweden
| | - Rolf Sandell
- Department of Psychology, Lund University, Lund, Sweden
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Harvey NC, Kanis JA, Liu E, Vandenput L, Lorentzon M, Cooper C, McCloskey E, Johansson H. Impact of population-based or targeted BMD interventions on fracture incidence. Osteoporos Int 2021; 32:1973-1979. [PMID: 33758991 DOI: 10.1007/s00198-021-05917-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/28/2020] [Accepted: 03/08/2021] [Indexed: 10/21/2022]
Abstract
In a simulated population of older women, we demonstrate that an upward shift in the population distribution of BMD by approximately 0.3SD may decrease the risk of incident fractures to the same extent as an intervention targeted to those with T-score less than -2.5. INTRODUCTION To investigate the impact of population level or targeted alterations to BMD on the incidence of fractures. METHODS We used a simulated cohort of 49,242 women with age and body mass index distribution from the UK, and prevalence of other clinical risk factors based on European FRAX® cohorts. Using FRAX probabilities of major osteoporotic fracture (MOF: hip, clinical vertebral, distal forearm, proximal humerus) and hip fracture, calculated with femoral neck BMD, we determined the expected number of fractures over 10 years, stratified by 10-year age band from 50 years. We then investigated the effect of (i) uplifting all individuals with T-score below -2.5 to be exactly -2.5 (high-risk strategy) and (ii) shifting the entire BMD distribution upwards (population strategy). RESULTS Overall, the high-risk strategy prevented 573 MOF including 465 hip fractures. Moving the BMD T-score distribution upward by 0.27SD gave an equivalent reduction in numbers of MOF; for hip fractures prevented, this was 0.35SD. A global upward 0.25SD BMD shift prevented 524 MOF including 354 hip fractures, with corresponding figures for an increase of 0.5SD being 973 MOF prevented and 640 hip fractures prevented. The ratio of hip fracture to MOF prevented differed by the two approaches, such that for the high-risk strategy, the ratio was 0.81, and for the population strategy was 0.68 (0.25SD BMD uplift) and 0.66 (0.5SD BMD uplift). The numbers of fractures prevented by the high-risk strategy increased with age. In contrast, the age-related increase in numbers of fractures prevented with the population strategy rose with age, but peaked in the 70-79-year age band and declined thereafter. CONCLUSIONS Both strategies reduced the numbers of expected incident fractures, with contrasting relative impacts by age and fracture site. Whilst the current analysis used UK/European anthropometric/risk factor distributions, further analyses calibrated to the distributions in other settings globally may be readily undertaken. Overall, these findings support the investigation of both population level interventions and those targeted at high fracture risk groups.
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Affiliation(s)
- N C Harvey
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, SO16 6YD, UK.
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Tremona Road, Southampton, UK.
| | - J A Kanis
- Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
| | - E Liu
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
| | - L Vandenput
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
- Centre for Bone and Arthritis Research, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - M Lorentzon
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
- Centre for Bone and Arthritis Research, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Geriatric Medicine, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
- Geriatric Medicine, Sahlgrenska University Hospital, Mölndal, Sweden
| | - C Cooper
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, SO16 6YD, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Tremona Road, Southampton, UK
- NIHR Oxford Biomedical Research Centre, University of Oxford, Oxford, UK
| | - E McCloskey
- Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK
- Centre for Integrated research in Musculoskeletal Ageing (CIMA), Mellanby Centre for Bone Research, University of Sheffield, Sheffield, UK
| | - H Johansson
- Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
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17
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Nilsson T, Falkenström F, Perrin S, Svensson M, Johansson H, Sandell R. Exploring termination setback in a psychodynamic therapy for panic disorder. J Consult Clin Psychol 2021; 89:762-772. [PMID: 34591549 DOI: 10.1037/ccp0000678] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
OBJECTIVE Termination in psychodynamic therapy (PDT) is a potentially conflictual and turbulent phase for patients, with a risk for increases in symptoms. However, few studies of PDT have assessed symptoms frequently enough during the treatment to determine whether such setbacks are in fact common in PDT. METHOD In a doubly randomized clinical preference trial, 217 adults, female = 163; M age = 34.8 (12.6), with panic disorder with or without agoraphobia were treated with panic-focused psychodynamic psychotherapy (PFPP) or panic control treatment (PCT), a form of cognitive behavioral therapy. Participants completed the Panic Disorder Severity Scale Self-Report (PDSS-SR) weekly during treatment (Weeks 1-12), and 6, 12, and 24 months after treatment. Using piecewise latent growth curve modeling, we tested the trajectories of change focusing on the termination phase in PFPP. RESULTS Week-to-week improvement on the PDSS-SR stopped (a termination setback [TS]) in PFPP during Weeks 10-12, whereas PCT participants continued to improve. Larger symptom reductions up to Week 10 in PFPP predicted a more severe TS. Less avoidant attachment and less severe interpersonal problems also predicted more severe TS. The TSs tended to last, as evidenced by inferior outcomes, up to the 12-month follow-up. CONCLUSIONS This study provides evidence of a TS in PDT. Resurgence of symptoms as termination approached was more common in PFPP than in PCT. Studies involving weekly assessment of primary and comorbid symptoms, as well as qualitative analyses of the patient experiences of the therapeutic process during termination, in different forms of PDT, are warranted. (PsycInfo Database Record (c) 2021 APA, all rights reserved).
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Kanis JA, Johansson H, Harvey NC, Lorentzon M, Liu E, Vandenput L, McCloskey EV. An assessment of intervention thresholds for very high fracture risk applied to the NOGG guidelines : A report for the National Osteoporosis Guideline Group (NOGG). Osteoporos Int 2021; 32:1951-1960. [PMID: 33813622 DOI: 10.1007/s00198-021-05942-2] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Accepted: 03/26/2021] [Indexed: 10/21/2022]
Abstract
UNLABELLED The National Osteoporosis Guideline Group (NOGG) has developed intervention thresholds based on FRAX® to characterise patients at high and very high risk of fracture. INTRODUCTION Guidelines for the assessment of fracture risk have begun to categorise patients eligible for treatment into high and very high risk of fracture to inform choice of therapeutic approach. The aim of the present study was to develop intervention thresholds based on the hybrid assessment model of NOGG. METHODS We examined the impact of intervention thresholds in a simulated cross-sectional cohort of women age 50 years or more from the UK with the distribution of baseline characteristics based on that in the FRAX cohorts. The prevalence of very high risk using the hybrid model was compared with age-dependent thresholds used by the International Osteoporosis Foundation and the European Society for Clinical and Economic Aspects of Osteoporosis and Osteoarthritis (IOF/ESCEO). The appropriateness of thresholds was tested based on the populations treated with anabolic agents. RESULTS With an upper intervention threshold using the IOF/ESCEO criteria, 56% of women age 50 years or more would be characterised at very high risk. This compares with 36% using the IOF/ESCEO criteria and an age-specific intervention threshold over all ages. With an upper intervention threshold of 1.6 times the pre-existing intervention threshold, 10% of women age 50 years or more would be characterised at very high risk. The data from phase 3 studies indicate that most trial participants exposed to romosozumab or teriparatide would fall into the very high-risk category. CONCLUSIONS Proposals for FRAX-based criteria for very high risk for the NOGG hybrid model categorise a small proportion of women age 50 years or more (10%) in this highest risk stratum. The level of risk identified was comparable to that of women enrolled in trials of anabolic agents.
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Affiliation(s)
- J A Kanis
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia.
- Centre for Metabolic Bone Diseases, University of Sheffield, Beech Hill Road, Sheffield, S10 2RX, UK.
| | - H Johansson
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
- Centre for Metabolic Bone Diseases, University of Sheffield, Beech Hill Road, Sheffield, S10 2RX, UK
| | - N C Harvey
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - M Lorentzon
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
- Sahlgrenska Osteoporosis Centre, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
| | - E Liu
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
| | - L Vandenput
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
- Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - E V McCloskey
- Centre for Metabolic Bone Diseases, University of Sheffield, Beech Hill Road, Sheffield, S10 2RX, UK
- Mellanby Centre for Bone Research, Department of Oncology and Metabolism, University of Sheffield, Sheffield, UK
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Gradin R, Forreryd A, Johansson H. Quantitative sensitizing potency assessment using GARDskin dose-response. Toxicol Lett 2021. [DOI: 10.1016/s0378-4274(21)00746-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Gehrke H, Zuckerstätter V, Forreryd A, Johansson H, Heine K, Dilger M. In vitro assessment of the skin sensitizing potential and potency of epoxy resin monomers and pre-polymer mixtures using the GARD assay. Toxicol Lett 2021. [DOI: 10.1016/s0378-4274(21)00482-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Forreryd A, Johansson H. Genomics-based platforms in combination with machine learning algorithms enabling well informed and reliable risk assessments for different toxicological endpoints. Toxicol Lett 2021. [DOI: 10.1016/s0378-4274(21)00313-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Fritz M, Koch M, Johansson H, Emilsson K, Hildingsson R, Khan J. Habitus and climate change: Exploring support and resistance to sustainable welfare and social-ecological transformations in Sweden. Br J Sociol 2021; 72:874-890. [PMID: 34405888 DOI: 10.1111/1468-4446.12887] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Revised: 07/24/2021] [Accepted: 07/26/2021] [Indexed: 06/13/2023]
Abstract
We explore peoples' dispositions and practices with regard to social-ecological transformations based on a sustainable welfare policy strategy in Sweden. We draw on Bourdieu's concept of habitus to highlight the relations between social positions, dispositions, and position-takings. Using data from an own survey, we identify habitus types and place these in the space of social positions. We apply principal component analysis to a large set of questions about social, ecological, and climate change related topics and identify eight underlying eco-social dispositions. These are used for cluster analyses that find typical constellations of eco-social dispositions within the Swedish population: variants of eco-social habitus. We find seven habitus types and describe their social characteristics, political preferences, and practices. Finally, the seven habitus are plotted onto the map of social positions, the Bourdieusian social space, highlighting their relations-proximities, tensions, and contestations-to each other. We find evidence that political struggles around social-ecological transformations reproduce existing social structures but are also connected to new "eco-social" divisions that appear between groups in similar positions. In the conclusion we discuss the implications for social-ecological transformations based on sustainable welfare.
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Affiliation(s)
- Martin Fritz
- BMBF Junior Research Group "Mentalities in flux (flumen)", Institute of Sociology, Friedrich-Schiller-University Jena, Jena, Germany
| | - Max Koch
- School of Social Work, Lund University, Lund, Sweden
| | | | | | | | - Jamil Khan
- Department of Technology and Society, Lund University, Lund, Sweden
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McCloskey EV, Johansson H, Harvey NC, Lorentzon M, Shi Y, Kanis JA. Romosozumab efficacy on fracture outcomes is greater in patients at high baseline fracture risk: a post hoc analysis of the first year of the frame study. Osteoporos Int 2021; 32:1601-1608. [PMID: 33537844 PMCID: PMC8376732 DOI: 10.1007/s00198-020-05815-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/03/2020] [Accepted: 12/30/2020] [Indexed: 01/01/2023]
Abstract
UNLABELLED This study aimed to determine the interaction between baseline FRAX® fracture probability and romosozumab efficacy. Using an ITT approach, it was determined that the efficacy of romosozumab on clinical fracture, osteoporotic fracture, and major osteoporotic fracture is significantly greater in patients at high baseline fracture risk, when compared with placebo. INTRODUCTION Post hoc analyses of placebo-controlled osteoporosis treatment studies have shown significantly greater reductions of fracture incidence for higher fracture risk patients. This study determined the interaction between baseline FRAX® fracture probability and romosozumab efficacy in the placebo-controlled first year of the phase 3 FRAME study (NCT01575834). METHODS Using an ITT approach, an extension of Poisson regression analysis studied the relationship between treatment, FRAX® 10-year probability of major osteoporotic fracture (MOF, calculated without BMD) and risk of first incident fracture (adjusting for age and follow-up time). Treatment interactions considered outcomes of all clinical fractures, osteoporotic fractures, MOF, clinical vertebral fractures, and morphometric vertebral fractures. Two-sided p value of < 0.1 for the interaction between treatment and FRAX® was considered significant. RESULTS Compared with placebo, romosozumab reduced the incidence of all fracture outcomes in the first year (range: 32% reduction in MOF [p = 0.07] to 80% reduction in clinical vertebral fractures [p = 0.038]). Significant interactions were observed between efficacy and baseline FRAX® probability for composite outcomes of clinical fractures, osteoporotic fractures, and MOF (p = 0.064-0.084), but not vertebral fractures (p > 0.3). For example, romosozumab decreased all clinical fractures by 22% at the 25th centile of FRAX® probability but the reduction was 41% at the 75th centile. Exclusion of vertebral fractures from each composite fracture outcome (i.e. only nonvertebral fractures included) showed even stronger interactions with baseline FRAX® probability (p = 0.036-0.046). CONCLUSIONS Efficacy of romosozumab on clinical fracture, osteoporotic fracture, and MOF is significantly greater in patients at high baseline fracture risk compared with placebo.
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Affiliation(s)
- E V McCloskey
- Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK.
- Centre for Integrated Research in Musculoskeletal Ageing (CIMA), Mellanby Centre for Bone Research, University of Sheffield, Sheffield, UK.
- Metabolic Bone Centre, Northern General Hospital, Herries Road, Sheffield, S5 7AU, UK.
| | - H Johansson
- Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
| | - N C Harvey
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - M Lorentzon
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
- Geriatric Medicine, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
- Region Västra Götaland, Geriatric Medicine, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Y Shi
- Amgen Inc, Thousand Oaks, CA, USA
| | - J A Kanis
- Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
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Kanis JA, Johansson H, Harvey NC, Gudnason V, Sigurdsson G, Siggeirsdottir K, Lorentzon M, Liu E, Vandenput L, McCloskey EV. The effect on subsequent fracture risk of age, sex, and prior fracture site by recency of prior fracture. Osteoporos Int 2021; 32:1547-1555. [PMID: 33537845 DOI: 10.1007/s00198-020-05803-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2020] [Accepted: 12/16/2020] [Indexed: 10/22/2022]
Abstract
UNLABELLED The risk of a recurrent fragility fracture varies by age and sex, as by site and recency of sentinel fracture. INTRODUCTION The recency of prior fractures affects subsequent fracture risk. Variable recency may obscure other factors that affect subsequent fracture risk. The aim of this study was to quantify the effect of a sentinel fracture by site, age, and sex where the recency was held constant. METHODS The study used data from the Reykjavik Study fracture register that documented prospectively all fractures at all skeletal sites in a large sample of the population of Iceland. Fracture incidence was compared to that of the general population determined at fixed times after a sentinel fracture (humeral, clinical vertebral, forearm, hip, and minor fractures). Outcome fractures comprised a major osteoporotic fracture and hip fracture. RESULTS Sentinel osteoporotic fractures were identified in 9504 men and women. Of these, 3616 individuals sustained a major osteoporotic fracture as the first subsequent fracture, of whom 1799 sustained a hip fracture. Hazard ratios for prior fracture were consistently higher in men than in women and decreased progressively with age. Hazard ratios varied according to the site of sentinel fracture with higher ratios for hip and vertebral fracture than for humerus, forearm, or minor osteoporotic fracture. CONCLUSION The risk of a recurrent fragility fracture varies by age, sex, and site of sentinel fracture when recency is held constant.
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Affiliation(s)
- J A Kanis
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia.
- Centre for Metabolic Bone Diseases, University of Sheffield Medical School, Beech Hill Road, Sheffield, S10 2RX, UK.
| | - H Johansson
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
- Centre for Metabolic Bone Diseases, University of Sheffield Medical School, Beech Hill Road, Sheffield, S10 2RX, UK
| | - N C Harvey
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - V Gudnason
- Icelandic Heart Association Research Institute, Kopavogur, Iceland
- University of Iceland, Reykjavik, Iceland
| | - G Sigurdsson
- Icelandic Heart Association Research Institute, Kopavogur, Iceland
| | - K Siggeirsdottir
- Icelandic Heart Association Research Institute, Kopavogur, Iceland
| | - M Lorentzon
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
- Geriatric Medicine, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
| | - E Liu
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
| | - L Vandenput
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
- Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - E V McCloskey
- Centre for Metabolic Bone Diseases, University of Sheffield Medical School, Beech Hill Road, Sheffield, S10 2RX, UK
- Mellanby Centre for Bone Research, Department of Oncology and Metabolism, University of Sheffield, Sheffield, UK
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Kebaetse M, Nkhwa S, Mogodi M, Masunge J, Gureja YP, Ramabu M, Mmopelwa T, Sharif I, Orford A, Harvey NC, McCloskey EV, Cauley JA, Kanis JA, Johansson H. A country-specific FRAX model for Botswana. Arch Osteoporos 2021; 16:90. [PMID: 34100118 PMCID: PMC8184541 DOI: 10.1007/s11657-021-00965-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Accepted: 04/12/2021] [Indexed: 02/03/2023]
Abstract
INTRODUCTION Hip fracture rates in Botswana were used to create a FRAX® model for fracture risk assessment. OBJECTIVE This paper describes the development and characteristics of a country-specific FRAX model for Botswana. METHODS Age-specific and sex-specific incidence of hip fracture and national mortality rates was incorporated into a FRAX model for Botswana. Ten-year fracture probabilities were compared with those from African countries having a FRAX model and African Americans from the USA. RESULTS The probabilities of hip fracture and major osteoporotic fracture were low compared with those from South Africa (Black and Coloured) and US Blacks. Probabilities were marginally higher than for Tunisia. CONCLUSION The creation of a FRAX model is expected to help guide decisions about the prevention and treatment of fragility fractures in Botswana.
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Affiliation(s)
- M Kebaetse
- Faculty of Medicine, University of Botswana, Gaborone, Botswana
| | - S Nkhwa
- Faculty of Medicine, University of Botswana, Gaborone, Botswana
| | - M Mogodi
- Faculty of Medicine, University of Botswana, Gaborone, Botswana
| | - J Masunge
- Faculty of Medicine, University of Botswana, Gaborone, Botswana
| | - Y P Gureja
- Princess Marina Hospital, Gaborone, Botswana
| | - M Ramabu
- Princess Marina Hospital, Gaborone, Botswana
| | - T Mmopelwa
- Gaborone Private Hospital, Gaborone, Botswana
| | - I Sharif
- Bokamoso Private Hospital, Gaborone, Botswana
| | - A Orford
- Gaborone Private Hospital, Gaborone, Botswana
| | - N C Harvey
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - E V McCloskey
- Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK.,Mellanby Centre for Musculoskeletal Research, Department of Oncology and Metabolism, University of Sheffield, Sheffield, UK
| | - J A Cauley
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - J A Kanis
- Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK. .,Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia.
| | - H Johansson
- Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK.,Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
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Kanis JA, Johansson H, Harvey NC, Gudnason V, Sigurdsson G, Siggeirsdottir K, Lorentzon M, Liu E, Vandenput L, Leslie WD, McCloskey EV. The use of 2-, 5-, and 10-year probabilities to characterize fracture risk after a recent sentinel fracture. Osteoporos Int 2021; 32:47-54. [PMID: 33083910 DOI: 10.1007/s00198-020-05700-w] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2020] [Accepted: 09/16/2020] [Indexed: 11/24/2022]
Abstract
UNLABELLED The increase in fracture risk associated with a recent fragility fracture is more appropriately captured using a 10-year fracture probability than 2- or 5-year probabilities. INTRODUCTION The recency of prior fractures affects subsequent fracture risk. The aim of this study was to quantify the effect of a recent sentinel fracture, by site, on the 2-, 5-, and 10-year probability of fracture. METHODS The study used data from the Reykjavik Study fracture register that documented prospectively all fractures at all skeletal sites in a large sample of the population of Iceland. Fracture probabilities were determined after a sentinel fracture (humeral, clinical vertebral, forearm and hip fracture) occurring within the previous 2 years and probabilities for a prior osteoporotic fracture irrespective of recency. The probability ratios were used to adjust fracture probabilities over a 2-, 5-, and 10-year time horizon. RESULTS As expected, probabilities decreased with decreasing time horizon. Probability ratios varied according to age and the site of sentinel fracture. Probability ratios to adjust for a prior fracture within the previous 2 years were higher the shorter the time horizon, but the absolute increases in fracture probabilities were much reduced. Thus, fracture probabilities were substantially lower with time horizons less than 10 years. CONCLUSION The 10-year probability of fractures is the appropriate metric to capture the impact of the recency of sentinel fractures. The probability ratios provide adjustments to conventional FRAX estimates of fracture probability for recent sentinel fractures, adjustments which can readily inform clinical decision-making.
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Affiliation(s)
- J A Kanis
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia.
- Centre for Metabolic Bone Diseases, University of Sheffield Medical School, Beech Hill Road, Sheffield, S10 2RX, UK.
| | - H Johansson
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
- Centre for Metabolic Bone Diseases, University of Sheffield Medical School, Beech Hill Road, Sheffield, S10 2RX, UK
| | - N C Harvey
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - V Gudnason
- Icelandic Heart Association Research Institute, Kopavogur, Iceland
- University of Iceland, Reykjavik, Iceland
| | - G Sigurdsson
- Icelandic Heart Association Research Institute, Kopavogur, Iceland
| | - K Siggeirsdottir
- Icelandic Heart Association Research Institute, Kopavogur, Iceland
| | - M Lorentzon
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
- Geriatric Medicine, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
| | - E Liu
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
| | - L Vandenput
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
- Department of Internal Medicine and Clinical Nutrition, Institute of Medicine and Clinical Nutrition, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - W D Leslie
- Department of Medicine, University of Manitoba, Winnipeg, Canada
| | - E V McCloskey
- Centre for Metabolic Bone Diseases, University of Sheffield Medical School, Beech Hill Road, Sheffield, S10 2RX, UK
- Mellanby Centre for Bone Research, Department of Oncology and Metabolism, University of Sheffield, Sheffield, UK
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McCloskey EV, Harvey NC, Johansson H, Lorentzon M, Vandenput L, Liu E, Kanis JA. Global impact of COVID-19 on non-communicable disease management: descriptive analysis of access to FRAX fracture risk online tool for prevention of osteoporotic fractures. Osteoporos Int 2021; 32:39-46. [PMID: 33057738 PMCID: PMC7556595 DOI: 10.1007/s00198-020-05542-6] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Accepted: 07/07/2020] [Indexed: 12/31/2022]
Abstract
The COVID-19 pandemic, and its management, is markedly impacting the management of osteoporosis as judged by access to online FRAX fracture risk assessments. Globally, access was 58% lower in April than in February 2020. Strategies to improve osteoporosis care, with greater use of fracture risk assessments, offer a partial solution. INTRODUCTION The COVID-19 pandemic is having a significant detrimental impact on the management of chronic diseases including osteoporosis. We have quantified the global impact by examining changes in the usage of online FRAX fracture risk assessments before and after the declaration of the pandemic (11 March 2020). METHODS The study comprised a retrospective analysis using GoogleAnalytics data on daily sessions on the FRAX® website ( www.sheffield.ac.uk/FRAX ) from November 2019 to April 2020 (main analysis period February-April 2020), and the geographical source of that activity. RESULTS Over February-April 2020, the FRAX website recorded 460,495 sessions from 184 countries, with 210,656 sessions in February alone. In March and April, the number of sessions fell by 23.1% and 58.3% respectively, a pattern not observed over the same period in 2019. There were smaller reductions in Asia than elsewhere, partly related to earlier and less-marked nadirs in some countries (China, Taiwan, Hong Kong, South Korea and Vietnam). In Europe, the majority of countries (24/31, 77.4%) reduced usage by at least 50% in April. Seven countries showed smaller reductions (range - 2.85 to - 44.1%) including Poland, Slovakia, Czech Republic, Germany, Norway, Sweden and Finland. There was no significant relationship between the reduction in FRAX usage and measures of disease burden such as COVID-attributed deaths per million of the population. CONCLUSION This study documents a marked global impact of the COVID-19 pandemic on the management of osteoporosis as reflected by FRAX online fracture risk assessments. The analysis suggests that impact may relate to the societal and healthcare measures taken to ameliorate the pandemic.
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Affiliation(s)
- E V McCloskey
- Department of Oncology and Metabolism, Academic Unit of Bone Metabolism, Metabolic Bone Centre, Northern General Hospital, Centre for Integrated Research in Musculoskeletal Ageing, Mellanby Centre for Bone Research, University of Sheffield, Sheffield, S5 7AU, UK.
- Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK.
| | - N C Harvey
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - H Johansson
- Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
| | - M Lorentzon
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
- Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Region Västra Götaland, Geriatric Medicine, Sahlgrenska University Hospital Mölndal, Gothenburg, Sweden
| | - L Vandenput
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
- Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - E Liu
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
| | - J A Kanis
- Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
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Kanis JA, Harvey NC, Lorentzon M, Liu E, Vandenput L, McCloskey EV, Johansson H. Combining fracture outcomes in phase 3 trials of osteoporosis: an analysis of the effects of denosumab in postmenopausal women. Osteoporos Int 2021; 32:165-171. [PMID: 33156354 DOI: 10.1007/s00198-020-05699-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/03/2020] [Accepted: 09/17/2020] [Indexed: 10/23/2022]
Abstract
UNLABELLED This paper explores use of metrics that combine fracture outcomes that add power to phase 3 studies and provide a surrogate outcome for regulatory agencies. INTRODUCTION The aim of this study was to develop an analytic framework that would combine information from all fracture outcomes (including radiographic vertebral fractures) in phase 3 studies to provide a metric for the assessment of treatment efficacy. METHODS Data from the phase 3 study of denosumab were used as an exemplar comparing the effects of active intervention with placebo on the risk of all fractures associated with osteoporosis. Fracture outcomes were assigned utility weights drawn from the published literature and applied to age-specific health state values of the general population. For each fracture outcome in each arm of the study, cumulative disutility was computed to serve as the principal end point. The hypothesis tested was that treatment with denosumab results in a significant reduction in mean fracture-related disutility. RESULTS Treatment with denosumab was associated with significantly lower utility loss compared with placebo. For patients treated with denosumab, mean utility loss was 42% less than with placebo (4.5 vs. 7.5 QALYs/1000 patient years, respectively, p < 0.001). CONCLUSIONS Denosumab significantly decreased utility loss. The use of metrics that combine fracture outcomes may provide added power to phase 3 studies and provide a surrogate outcome for regulatory agencies.
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Affiliation(s)
- J A Kanis
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia.
- Centre for Metabolic Bone Diseases, University of Sheffield Medical School, Beech Hill Road, Sheffield, S10 2RX, UK.
| | - N C Harvey
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - M Lorentzon
- Geriatric Medicine, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
| | - E Liu
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
| | - L Vandenput
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
- Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - E V McCloskey
- Centre for Metabolic Bone Diseases, University of Sheffield Medical School, Beech Hill Road, Sheffield, S10 2RX, UK
- Mellanby Centre for bone research, Department of Oncology and Metabolism, University of Sheffield, Sheffield, UK
| | - H Johansson
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
- Centre for Metabolic Bone Diseases, University of Sheffield Medical School, Beech Hill Road, Sheffield, S10 2RX, UK
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Larsson BAM, Johansson L, Johansson H, Axelsson KF, Harvey N, Vandenput L, Magnusson P, McCloskey E, Liu E, Kanis JA, Sundh D, Lorentzon M. The timed up and go test predicts fracture risk in older women independently of clinical risk factors and bone mineral density. Osteoporos Int 2021; 32:75-84. [PMID: 33089354 PMCID: PMC7755867 DOI: 10.1007/s00198-020-05681-w] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Accepted: 10/09/2020] [Indexed: 12/12/2022]
Abstract
The timed up and go (TUG) test measures physical performance and predicts falls in the elderly. In older women, TUG time predicts the risk of major osteoporotic fracture and hip fracture independently of clinical risk factors and bone mineral density, and has a substantial impact on fracture probabilities. INTRODUCTION The timed up and go (TUG) test measures physical performance and predicts falls in the elderly. A slow TUG has been associated with an increased fracture risk, but it is unclear whether the association is independent of clinical risk factors and bone mineral density (BMD). The aim of this study was to investigate if TUG time was associated with fracture risk independently of clinical risk factors and BMD and to determine its impact on fracture probabilities in older women. METHODS A standardized questionnaire was used to assess information regarding clinical risk factors in the large population-based SUPERB study of 3028 older women (75-80 years). At baseline, the TUG test was performed and BMD measured with DXA. The association between TUG time and the risk of hip fracture and major osteoporotic fracture (MOF) was examined using an extension of Poisson regression. RESULTS Fracture incidence increased steeply with increasing TUG time up to 12 s and subsequently started to level off. A slow TUG time was therefore defined as TUG > 12 s, a cutoff level then used in Cox models to study the association between slow TUG and fracture risk. A slow TUG time was associated with an increased risk of fracture (MOF 2.39 [1.80-3.18] and hip fracture 2.96 [1.62-5.40]). These associations were slightly attenuated but remained significant after adjustment for clinical risk factors and femoral neck BMD. Depending on BMD, the 4-year fracture probability of MOF increased by a factor of 1.5-1.9 in a 75-year-old woman with slow TUG (> 12 s). CONCLUSION The TUG time predicts the risk of MOF and hip fracture independently of clinical risk factors and BMD and has a substantial impact on fracture probabilities, indicating that inclusion of the TUG test in patient evaluation should be considered in order to improve fracture prediction in older women.
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Affiliation(s)
- B A M Larsson
- Geriatric Medicine, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
| | - L Johansson
- Geriatric Medicine, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
- Region Västra Götaland, Department of Orthopaedics, Sahlgrenska University Hospital, Mölndal, Sweden
| | - H Johansson
- Geriatric Medicine, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, VIC, Australia
| | - K F Axelsson
- Geriatric Medicine, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
- Region Västra Götaland, Department of Orthopaedic Surgery, Skaraborg Hospital, Skövde, Sweden
| | - N Harvey
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Tremona Road, Southampton, UK
| | - L Vandenput
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, VIC, Australia
- Centre for Bone and Arthritis Research, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
| | - P Magnusson
- Department of Clinical Chemistry, and Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
| | - E McCloskey
- Centre for Metabolic Bone Diseases, University of Sheffield Medical School, Sheffield, UK
- MRC and Arthritis Research UK Centre for Integrated Research in Musculoskeletal Ageing, Mellanby Centre for Bone Research, University of Sheffield, Sheffield, UK
| | - E Liu
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, VIC, Australia
| | - J A Kanis
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, VIC, Australia
- Centre for Metabolic Bone Diseases, University of Sheffield Medical School, Sheffield, UK
| | - D Sundh
- Geriatric Medicine, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
| | - M Lorentzon
- Geriatric Medicine, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden.
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, VIC, Australia.
- Region Västra Götaland, Department of Geriatric Medicine, Sahlgrenska University Hospital, 43180, Mölndal, Sweden.
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Clarhed UKE, Johansson H, Veel Svendsen M, Toren K, Moller AK, Hellgren J. Occupational exposure and the risk of new-onset chronic rhinosinusitis â€" a prospective study 2013-2018. Rhinology 2020; 58:597-604. [PMID: 32645120 DOI: 10.4193/rhin20.104] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
BACKGROUND The aetiology behind chronic rhinosinusitis (CRS) is still poorly understood. The aim of this study was to investigate the association between the onset of CRS and several common occupational exposures over time. METHODOLOGY An adult random population from Telemark, Norway, comprising 7,952 subjects, who answered a comprehensive respiratory questionnaire including questions on CRS and occupational exposure first in 2013 and again in 2018. RESULTS New-onset CRS during the five-year follow-up was independently associated with occupational exposure to hair-care products, cleaning agents among women, super glue, strong acids, cooking fumes and wood dust. CONCLUSION In this random population cohort from Norway, exposure to several common occupational agents, such as hair-care products, super glue and wood dust, was associated with the onset of CRS. It is important that physicians who see patients with CRS inquire about workplace exposure.
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Affiliation(s)
- U K E Clarhed
- Department of Otorhinolaryngology, Head & Neck Surgery, Institute of Clinical Sciences, The Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
| | - H Johansson
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
| | - M Veel Svendsen
- Department of Occupational and Environmental Medicine, Telemark Hospital, Skien, Norway
| | - K Toren
- Occupational and Environmental Medicine, Institute of Medicine, The Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
| | - A K Moller
- Department of Occupational and Environmental Medicine, Telemark Hospital, Skien, Norway
| | - J Hellgren
- Department of Otorhinolaryngology, Head & Neck Surgery, Institute of Clinical Sciences, The Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
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31
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Svensson M, Nilsson T, Perrin S, Johansson H, Viborg G, Sandell R. Preferences for panic control treatment and panic focused psychodynamic psychotherapy for panic disorder – who chooses which and why? Psychother Res 2020; 31:644-655. [DOI: 10.1080/10503307.2020.1839686] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/23/2022] Open
Affiliation(s)
| | | | - Sean Perrin
- Department of Psychology, Lund University, Lund, Sweden
| | | | - Gardar Viborg
- Department of Psychology, Lund University, Lund, Sweden
| | - Rolf Sandell
- Department of Psychology, Lund University, Lund, Sweden
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Kanis JA, Johansson H, Harvey NC, Gudnason V, Sigurdsson G, Siggeirsdottir K, Lorentzon M, Liu E, Vandenput L, McCloskey EV. Adjusting conventional FRAX estimates of fracture probability according to the recency of sentinel fractures. Osteoporos Int 2020; 31:1817-1828. [PMID: 32613411 PMCID: PMC7116089 DOI: 10.1007/s00198-020-05517-7] [Citation(s) in RCA: 47] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2020] [Accepted: 06/01/2020] [Indexed: 11/27/2022]
Abstract
The risk of a recurrent fragility fracture is particularly high immediately following the fracture. This study provides adjustments to FRAX-based fracture probabilities accounting for the site of a recent fracture. INTRODUCTION The recency of prior fractures affects subsequent fracture risk. The aim of this study was to quantify the effect of a recent sentinel fracture, by site, on the 10-year probability of fracture determined with FRAX. METHODS The study used data from the Reykjavik Study fracture register that documented prospectively all fractures at all skeletal sites in a large sample of the population of Iceland. Fracture probabilities were determined after a sentinel fracture (humeral, clinical vertebral, forearm and hip fracture) from the hazards of death and fracture. Fracture probabilities were computed on the one hand for sentinel fractures occurring within the previous 2 years and on the other hand, probabilities for a prior osteoporotic fracture irrespective of recency. The probability ratios provided adjustments to conventional FRAX estimates of fracture probability for recent sentinel fractures. RESULTS Probability ratios to adjust 10-year FRAX probabilities of a major osteoporotic fracture for recent sentinel fractures were age dependent, decreasing with age in both men and women. Probability ratios varied according to the site of sentinel fracture with higher ratios for hip and vertebral fracture than for humerus or forearm fracture. Probability ratios to adjust 10-year FRAX probabilities of a hip fracture for recent sentinel fractures were also age dependent, decreasing with age in both men and women with the exception of forearm fractures. CONCLUSION The probability ratios provide adjustments to conventional FRAX estimates of fracture probability for recent sentinel fractures.
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Affiliation(s)
- J A Kanis
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia.
- Centre for Metabolic Bone Diseases, University of Sheffield Medical School, Beech Hill Road, Sheffield, S10 2RX, UK.
| | - H Johansson
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
- Centre for Metabolic Bone Diseases, University of Sheffield Medical School, Beech Hill Road, Sheffield, S10 2RX, UK
| | - N C Harvey
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - V Gudnason
- Icelandic Heart Association Research Institute, Kopavogur, Iceland
- University of Iceland, Reykjavik, Iceland
| | - G Sigurdsson
- Icelandic Heart Association Research Institute, Kopavogur, Iceland
| | - K Siggeirsdottir
- Icelandic Heart Association Research Institute, Kopavogur, Iceland
| | - M Lorentzon
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
- Geriatric Medicine, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
| | - E Liu
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
| | - L Vandenput
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
- Department of Internal Medicine and Clinical Nutrition, Institute of Medicine and Clinical Nutrition, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - E V McCloskey
- Centre for Metabolic Bone Diseases, University of Sheffield Medical School, Beech Hill Road, Sheffield, S10 2RX, UK
- Mellanby Centre for bone research, Department of Oncology and Metabolism, University of Sheffield, Sheffield, UK
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Lohmander F, Lagergren J, Johansson H, Roy PG, Frisell J, Brandberg Y. Quality of life and patient satisfaction after implant-based breast reconstruction with or without acellular dermal matrix: randomized clinical trial. BJS Open 2020; 4:811-820. [PMID: 32762012 PMCID: PMC7528522 DOI: 10.1002/bjs5.50324] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2020] [Revised: 05/20/2020] [Accepted: 06/15/2020] [Indexed: 11/22/2022] Open
Abstract
Background Acellular dermal matrix (ADM) in implant‐based breast reconstructions (IBBRs) aims to improve cosmetic outcomes. Six‐month data are presented from a randomized trial evaluating whether IBBR with ADM provides higher health‐related quality of life (HRQoL) and patient‐reported cosmetic outcomes compared with conventional IBBR without ADM. Methods In this multicentre open‐label RCT, women with breast cancer planned for mastectomy with immediate IBBR in four centres in Sweden and one in the UK were allocated randomly (1 : 1) to IBBR with or without ADM. HRQoL, a secondary endpoint, was measured as patient‐reported outcome measures (PROMs) using three validated instruments (EORTC‐QLQC30, QLQ‐BR23, QLQ‐BRR26) at baseline and 6 months. Results Between 24 April 2014 and 10 May 2017, 135 women were enrolled, of whom 64 with and 65 without ADM were included in the final analysis. At 6 months after surgery, patient‐reported HRQoL, measured with generic QLQ‐C30 or breast cancer‐specific QLQ‐BR23, was similar between the groups. For patient‐reported cosmetic outcomes, two subscale items, cosmetic outcome (8·66, 95 per cent c.i. 0·46 to 16·86; P = 0·041) and problems finding a well‐fitting bra (−13·21, −25·54 to −0·89; P = 0·038), yielded higher scores in favour of ADM, corresponding to a small to moderate clinical difference. None of the other 27 domains measured showed any significant differences between the groups. Conclusion IBBR with ADM was not superior in terms of higher levels of HRQoL compared with IBBR without ADM. Although two subscale items of patient‐reported cosmetic outcomes favoured ADM, the majority of cosmetic items showed no significant difference between treatments at 6 months. Registration number: NCT02061527 (
www.clinicaltrials.gov).
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Affiliation(s)
- F Lohmander
- Department of Breast and Endocrine Surgery, Section of Breast Surgery, Karolinska University Hospital, Stockholm, Sweden.,Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - J Lagergren
- Department of Surgery, Breast Centre, Capio St Görans Hospital, Stockholm, Sweden.,Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - H Johansson
- Department of Oncology-Pathology, Cancer Centre, Karolinska Institutet, Stockholm, Sweden
| | - P G Roy
- Department of Breast Surgery, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - J Frisell
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - Y Brandberg
- Department of Oncology-Pathology, Cancer Centre, Karolinska Institutet, Stockholm, Sweden
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Söreskog E, Borgström F, Shepstone L, Clarke S, Cooper C, Harvey I, Harvey NC, Howe A, Johansson H, Marshall T, O'Neill TW, Peters TJ, Redmond NM, Turner D, Holland R, McCloskey E, Kanis JA. Long-term cost-effectiveness of screening for fracture risk in a UK primary care setting: the SCOOP study. Osteoporos Int 2020; 31:1499-1506. [PMID: 32239237 PMCID: PMC7115896 DOI: 10.1007/s00198-020-05372-6] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/02/2019] [Accepted: 02/28/2020] [Indexed: 12/30/2022]
Abstract
UNLABELLED Community-based screening and treatment of women aged 70-85 years at high fracture risk reduced fractures; moreover, the screening programme was cost-saving. The results support a case for a screening programme of fracture risk in older women in the UK. INTRODUCTION The SCOOP (screening for prevention of fractures in older women) randomized controlled trial investigated whether community-based screening could reduce fractures in women aged 70-85 years. The objective of this study was to estimate the long-term cost-effectiveness of screening for fracture risk in a UK primary care setting compared with usual management, based on the SCOOP study. METHODS A health economic Markov model was used to predict the life-time consequences in terms of costs and quality of life of the screening programme compared with the control arm. The model was populated with costs related to drugs, administration and screening intervention derived from the SCOOP study. Fracture risk reduction in the screening arm compared with the usual management arm was derived from SCOOP. Modelled fracture risk corresponded to the risk observed in SCOOP. RESULTS Screening of 1000 patients saved 9 hip fractures and 20 non-hip fractures over the remaining lifetime (mean 14 years) compared with usual management. In total, the screening arm saved costs (£286) and gained 0.015 QALYs/patient in comparison with usual management arm. CONCLUSIONS This analysis suggests that a screening programme of fracture risk in older women in the UK would gain quality of life and life years, and reduce fracture costs to more than offset the cost of running the programme.
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Affiliation(s)
| | - F Borgström
- Quantify Research, Stockholm, Sweden
- LIME/MMC, Karolinska Institutet, Stockholm, Sweden
| | - L Shepstone
- Norwich Medical School, University of East Anglia, Norwich, UK
| | - S Clarke
- Department of Rheumatology, University Hospitals Bristol, Bristol, UK
| | - C Cooper
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
- Oxford Biomedical Research Unit, University of Oxford, Oxford, UK
| | - I Harvey
- Norwich Medical School, University of East Anglia, Norwich, UK
| | - N C Harvey
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - A Howe
- Norwich Medical School, University of East Anglia, Norwich, UK
| | - H Johansson
- Centre for Metabolic Diseases, University of Sheffield Medical School, Beech Hill Road, Sheffield, S10 2RX, UK
- Centre for Bone and Arthritis Research (CBAR), Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Victoria, Australia
| | - T Marshall
- Norfolk and Norwich University Hospital, Norwich, UK
| | - T W O'Neill
- NIHR 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
| | - T J Peters
- Bristol Medical School, University of Bristol, Bristol, UK
| | - N M Redmond
- Bristol Medical School, University of Bristol, Bristol, UK
- National Institute for Health Research Collaborations for Leadership in Applied Health Research and Care West (NIHR CLAHRC West), University Hospitals Bristol NHS Foundation, Bristol, UK
| | - D Turner
- Norwich Medical School, University of East Anglia, Norwich, UK
| | - R Holland
- Leicester Medical School, Centre for Medicine, University of Leicester, Leicester, UK
| | - E McCloskey
- Centre for Metabolic Diseases, University of Sheffield Medical School, Beech Hill Road, Sheffield, S10 2RX, UK
- Centre for Integrated research into Musculoskeletal Ageing, University of Sheffield Medical School, Sheffield, UK
- Academic Unit of Bone Metabolism, Department of Oncology and Metabolism, The Mellanby Centre For Bone Research, University of Sheffield, Sheffield, UK
| | - J A Kanis
- Centre for Metabolic Diseases, University of Sheffield Medical School, Beech Hill Road, Sheffield, S10 2RX, UK.
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Victoria, Australia.
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Naseri H, Iraeus J, Johansson H. The effect of adipose tissue material properties on the lap belt-pelvis interaction: A global sensitivity analysis. J Mech Behav Biomed Mater 2020; 107:103739. [DOI: 10.1016/j.jmbbm.2020.103739] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2019] [Revised: 02/03/2020] [Accepted: 02/26/2020] [Indexed: 11/16/2022]
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Affiliation(s)
- E McCloskey
- Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK.
- Centre for Integrated research in Musculoskeletal Ageing (CIMA), Mellanby Centre for Bone Research, University of Sheffield, Sheffield, UK.
- Metabolic Bone Centre, Northern General Hospital, Herries Road, Sheffield, S5 7AU, UK.
| | - N Harvey
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Tremona Road, Southampton, UK
| | - H Johansson
- Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
| | - M Lorentzon
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
- Geriatric Medicine, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
- Region Västra Götaland, Geriatric Medicine, Sahlgrenska University Hospital, Mölndal, Sweden
| | - L Vandenput
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
- Centre of Bone and Arthritis Research, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - J A Kanis
- Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
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37
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Leslie WD, Schousboe JT, Morin SN, Martineau P, Lix LM, Johansson H, McCloskey EV, Harvey NC, Kanis JA. Measured height loss predicts incident clinical fractures independently from FRAX: a registry-based cohort study. Osteoporos Int 2020; 31:1079-1087. [PMID: 32016485 DOI: 10.1007/s00198-020-05313-3] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/27/2019] [Accepted: 01/22/2020] [Indexed: 01/13/2023]
Abstract
UNLABELLED During median follow-up 6.0 years in 11,495 individuals, prior absolute and annualized measured height loss was significantly greater in those with subsequent incident fracture compared with those without incident fracture. PURPOSE FRAX® accepts baseline height and weight as input variables, but does not consider change in these parameters over time. AIM To evaluate the association between measured height or weight loss on subsequent fracture risk adjusted for FRAX scores, risk factors, and competing mortality. METHODS Using a dual-energy x-ray absorptiometry (DXA) registry for the Province of Manitoba, Canada, we identified women and men age 40 years or older with height and weight measured at the time of two DXA scans. Cox regression analyses were performed to test for a covariate-adjusted association between prior height and weight loss with incident fractures occurring after the second scan using linked population-based healthcare data. RESULTS The study population consisted of 11,495 individuals (average age 68.0 ± 9.9 years, 94.6% women). During median follow-up 6.0 years, records demonstrated incident major osteoporotic fracture (MOF) in 869 individuals, hip fractures in 265, clinical vertebral fractures in 207, and any fracture in 1203. Prior height loss was significantly greater in individuals with fracture compared with those without fracture, regardless of fracture site. Mortality was greater in those with prior height loss (HR per SD 1.11, 95% CI 1.06-1.17) or weight loss (HR per SD 1.26, 95% CI 1.19-1.32). Each SD in height loss was associated with increased fracture risk (MOF 12-17%, hip 8-19%, clinical vertebral 28-37%, any fracture 14-19%). Prior weight loss was associated with 21-30% increased risk for hip fracture, but did not increase risk for other fractures. Height loss of 3.0 cm or greater more than doubled the risk for subsequent fracture. CONCLUSIONS Prior height loss is associated with a small but significant increase in risk of incident fracture at all skeletal sites independent of other clinical risk factors and competing mortality as considered by FRAX. Prior weight loss only increases risk for subsequent hip fracture.
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Affiliation(s)
- W D Leslie
- Department of Medicine (C5121), University of Manitoba, 409 Tache Avenue, Winnipeg, Manitoba, R2H 2A6, Canada.
| | - J T Schousboe
- Park Nicollet Clinic & HealthPartners Institute, Minneapolis, MN, USA
- University of Minnesota, Minneapolis, MN, USA
| | | | - P Martineau
- Department of Medicine (C5121), University of Manitoba, 409 Tache Avenue, Winnipeg, Manitoba, R2H 2A6, Canada
| | - L M Lix
- Department of Medicine (C5121), University of Manitoba, 409 Tache Avenue, Winnipeg, Manitoba, R2H 2A6, Canada
| | - H Johansson
- Centre for Metabolic Bone Diseases, University of Sheffield Medical School, Sheffield, Beech Hill Rd, Sheffield, S10 2RX, UK
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
| | - E V McCloskey
- Centre for Metabolic Bone Diseases, University of Sheffield Medical School, Sheffield, Beech Hill Rd, Sheffield, S10 2RX, UK
- Centre for Integrated Research in Musculoskeletal Ageing (CIMA), Mellanby Centre for Bone Research, University of Sheffield, Sheffield, UK
| | - N C Harvey
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - J A Kanis
- Centre for Metabolic Bone Diseases, University of Sheffield Medical School, Sheffield, Beech Hill Rd, Sheffield, S10 2RX, UK
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
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Hatschek T, Andersson A, Bjöhle J, Bosch A, Carlsson L, Dreifaldt A, Einbeigi Z, Elinder E, Fredholm H, Isaksson-Friman E, Hellström M, Johansson H, Lekberg T, Lindman H, Zerdes I, Foukakis T, Hartman J, Brandberg Y, Bergh J. 97O PREDIX HER2 trial: Event-free survival and pathologic complete response in clinical subgroups and stromal TILs levels. Ann Oncol 2020. [DOI: 10.1016/j.annonc.2020.03.037] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022] Open
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Vala CH, Kärrholm J, Kanis JA, Johansson H, Sten S, Sundh V, Karlsson M, Lorentzon M, Mellström D. Risk for hip fracture before and after total knee replacement in Sweden. Osteoporos Int 2020; 31:887-895. [PMID: 31832694 PMCID: PMC7170830 DOI: 10.1007/s00198-019-05241-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/19/2019] [Accepted: 11/19/2019] [Indexed: 11/29/2022]
Abstract
UNLABELLED We studied the risk for hip fracture before and after total knee replacement (TKR) in the entire population in Sweden. Women and men had a low risk for hip fracture before TKR but an increased risk the first year after TKR. PURPOSE It is known that osteoarthritis is associated with high bone mass. We therefore studied the risk of hip fracture before and after total knee replacement (TKR), risk of different hip fracture types, and risk subdivided in genders and age groups. METHODS We followed the total Swedish population born between 1902 and 1952 (n = 4,258,934) during the period 1987-2002 and identified all patients with TKR due to primary OA (n = 39,291), and all patients with hip fracture (n = 195,860) in the Swedish National Inpatient Register. The risk time analyses were based on Poisson regression models. RESULTS The hazard ratio (HR) for hip fracture the last year before TKR was 0.86 (95% CI 0.74 to 1.00) and the first year after 1.26 (95% CI 1.11 to 1.42) compared to individuals without TKR. The HR for femoral neck fracture 0-10 years after TKR was 0.95 (95% CI 0.89 to 1.01) and for trochanteric fracture was 1.13 (95% CI 1.06 to 1.21). The HR for hip fracture in the age group 50-74 was 1.28 (95% CI 1.14 to 1.43) and in the age group 75-90 years was 0.99 (95% CI 0.94 to 1.04) 0-10 years after TKR, compared to individuals without TKR. CONCLUSION Individuals had a low risk for hip fracture before TKR but an increased risk the first year after TKR. The risk in individuals below age 75 years and for trochanteric fractures was increased after TKR. Possible explanations include changed knee kinematics after a TKR, physical activity level, fall risk, and other unknown factors.
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Affiliation(s)
- C H Vala
- Geriatric Medicine, Department of Internal Medicine and Clinical Nutrition, Sahlgrenska Academy, University of Gothenburg, 413 45, Göteborg, Sweden.
- Region Västra Götaland, Geriatric Medicine Clinic, Sahlgrenska University Hospital, 431 80, Mölndal, Sweden.
| | - J Kärrholm
- Department of Orthopedic Surgery, Sahlgrenska Academy, University of Gothenburg, 431 80, Mölndal, Sweden
| | - J A Kanis
- Centre for Metabolic Bone Disease, Medical School, University of Sheffield, S10 2RX, Sheffield, UK
- Mary McKillop Health Institute, Australian Catholic University, Melbourne, VIC, 3000, Australia
| | - H Johansson
- Geriatric Medicine, Department of Internal Medicine and Clinical Nutrition, Sahlgrenska Academy, University of Gothenburg, 413 45, Göteborg, Sweden
| | - S Sten
- Department of Archaeology and Ancient History, Uppsala University- Campus Gotland, 621 57, Visby, Sweden
| | - V Sundh
- Geriatric Medicine, Department of Internal Medicine and Clinical Nutrition, Sahlgrenska Academy, University of Gothenburg, 413 45, Göteborg, Sweden
| | - M Karlsson
- Department of Orthopedics and Clinical Sciences, Lund University, Skåne University Hospital, 205 02, Malmö, Sweden
| | - M Lorentzon
- Geriatric Medicine, Department of Internal Medicine and Clinical Nutrition, Sahlgrenska Academy, University of Gothenburg, 413 45, Göteborg, Sweden
- Region Västra Götaland, Geriatric Medicine Clinic, Sahlgrenska University Hospital, 431 80, Mölndal, Sweden
- Mary McKillop Health Institute, Australian Catholic University, Melbourne, VIC, 3000, Australia
- Center for Bone and Arthritis Research (CBAR), Sahlgrenska Academy, University of Gothenburg, 413 45, Gothenburg, Sweden
| | - D Mellström
- Geriatric Medicine, Department of Internal Medicine and Clinical Nutrition, Sahlgrenska Academy, University of Gothenburg, 413 45, Göteborg, Sweden
- Region Västra Götaland, Geriatric Medicine Clinic, Sahlgrenska University Hospital, 431 80, Mölndal, Sweden
- Center for Bone and Arthritis Research (CBAR), Sahlgrenska Academy, University of Gothenburg, 413 45, Gothenburg, Sweden
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Johansson H, Svensson JF, Almström M, Van Hul N, Rudling M, Angelin B, Nowak G, Fischler B, Ellis E. Regulation of bile acid metabolism in biliary atresia: reduction of FGF19 by Kasai portoenterostomy and possible relation to early outcome. J Intern Med 2020; 287:534-545. [PMID: 31976601 DOI: 10.1111/joim.13028] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
BACKGROUND Fibroblast growth factor 19 (FGF19) is produced in the small intestine and is involved in suppression of hepatic bile acid (BA) synthesis. FGF19 is also expressed in the liver and serum levels are elevated in adults with cholestatic liver disease. This may reflect a rescue mechanism to dampen liver injury caused by increased intrahepatic BAs. OBJECTIVES To examine circulating FGF19 at early stages of biliary atresia and at short-term follow-up post-Kasai portoenterostomy (KPE) in relation to noncholestatic infants. The relationship between FGF19, BAs and markers for BA synthesis and hepatic gene expression of factors involved in BA metabolism were also evaluated. METHODS Liver tissue, portal and peripheral blood samples were obtained from fifteen patients at KPE; additional blood was collected 4-6 months after surgery. Two control groups were included; to examine possible changes related to surgery and to compare FGF19 in biliary atresia to noncholestatic infants. RESULTS Circulating FGF19 levels correlated to its hepatic gene expression at time of KPE in biliary atresia and levels were elevated compared to noncholestatic infants. At follow-up, FGF19 levels were markedly reduced, and the decline coincided with reductions in bilirubin and conjugated chenodeoxycholic acid and with increased levels of the BA synthesis marker C4. CONCLUSION Elevated circulating FGF19 in biliary atresia is of hepatic origin and reduced following KPE. Changes in serum FGF19 may reflect the level of restoration of the enterohepatic circulation, and this warrants further long-term studies on the role of FGF19 in the cholestatic liver.
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Affiliation(s)
- H Johansson
- From the, Division of Transplantation Surgery, Department of Clinical Science, Intervention and Technology (CLINTEC), Karolinska Institutet, Stockholm, Sweden.,Department of Transplantation, Karolinska University Hospital, Stockholm, Sweden
| | - J F Svensson
- Division of Pediatric Surgery, Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden.,Department of Pediatric Surgery, Karolinska University Hospital, Stockholm, Sweden
| | - M Almström
- Division of Pediatric Surgery, Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden.,Department of Pediatric Surgery, Karolinska University Hospital, Stockholm, Sweden
| | - N Van Hul
- Department of Biosciences and Nutrition, Karolinska Institutet, Stockholm, Sweden
| | - M Rudling
- Unit for Metabolism, Department of Medicine, Karolinska Institutet, Stockholm, Sweden
| | - B Angelin
- Unit for Metabolism, Department of Medicine, Karolinska Institutet, Stockholm, Sweden
| | - G Nowak
- From the, Division of Transplantation Surgery, Department of Clinical Science, Intervention and Technology (CLINTEC), Karolinska Institutet, Stockholm, Sweden.,Department of Transplantation, Karolinska University Hospital, Stockholm, Sweden
| | - B Fischler
- Division of Paediatrics, Department of Clinical Science, Intervention and Technology (CLINTEC), Karolinska Institutet, Stockholm, Sweden.,Department of Pediatrics, Karolinska University Hospital, Stockholm, Sweden
| | - E Ellis
- From the, Division of Transplantation Surgery, Department of Clinical Science, Intervention and Technology (CLINTEC), Karolinska Institutet, Stockholm, Sweden.,Department of Transplantation, Karolinska University Hospital, Stockholm, Sweden
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Kanis JA, Harvey NC, McCloskey E, Bruyère O, Veronese N, Lorentzon M, Cooper C, Rizzoli R, Adib G, Al-Daghri N, Campusano C, Chandran M, Dawson-Hughes B, Javaid K, Jiwa F, Johansson H, Lee JK, Liu E, Messina D, Mkinsi O, Pinto D, Prieto-Alhambra D, Saag K, Xia W, Zakraoui L, Reginster JY. Correction to: Algorithm for the management of patients at low, high and very high risk of osteoporotic fractures. Osteoporos Int 2020; 31:797-798. [PMID: 32065251 PMCID: PMC7075819 DOI: 10.1007/s00198-020-05297-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
The article 'Algorithm for the management of patients at low, high and very high risk of osteoporotic fractures',written by J. A. Kanis, was originally published Online First without Open Access. After publication in volume [#], issue [#] and page [#-#], the author decided to opt for Open Choice and to make the article an Open Access publication.
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Affiliation(s)
- J A Kanis
- Centre for Metabolic Bone Diseases, University of Sheffield Medical School, Beech Hill Road, Sheffield, S10 2RX, UK.
- Mary McKillop Health Institute, Australian Catholic University, Melbourne, Australia.
| | - N C Harvey
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - E McCloskey
- Centre for Metabolic Bone Diseases, University of Sheffield Medical School, Beech Hill Road, Sheffield, S10 2RX, UK
- MRC and Arthritis Research UK Centre for Integrated Research in Musculoskeletal Ageing Mellanby, Sheffield, UK
| | - O Bruyère
- World Health Organization Collaborating Center for the Public Health Aspects of Musculoskeletal Health and Aging, Department of Public Health, Epidemiology and Health Economics, University of Liège, Liège, Belgium
| | - N Veronese
- National Research Council, Neuroscience Institute, Aging Branch, Via Giustiniani 2, 35128, Padova, Italy
| | - M Lorentzon
- Mary McKillop Health Institute, Australian Catholic University, Melbourne, Australia
- Geriatric Medicine, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine and Clinical Nutrition, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Region Västra Götaland, Geriatric Medicine Clinic, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - C Cooper
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- NIHR Musculoskeletal Biomedical Research Unit, University of Oxford, Oxford, UK
| | - R Rizzoli
- Service of Bone Diseases, Geneva University Hospitals and Faculty of Medicine, Geneva, Switzerland
| | - G Adib
- Syrian National Osteoporosis Society, Damascus, Syria
| | - N Al-Daghri
- Biochemistry Department, College of Science, King Saud University, Riyadh, Kingdom of Saudi Arabia
| | - C Campusano
- Clinica Universidad de los Andes and Faculty of Medicine, Universidad de los Andes, Santiago, Chile
| | - M Chandran
- Osteoporosis and Bone Metabolism Unit, Department of Endocrinology, Singapore General Hospital, ACADEMIA, 20, College Road, Singapore, 169856, Singapore
| | - B Dawson-Hughes
- Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA, USA
| | - K Javaid
- NIHR Musculoskeletal Biomedical Research Unit, University of Oxford, Oxford, UK
| | - F Jiwa
- International Osteoporosis Foundation, Osteoporosis Canada, Toronto, Canada
| | - H Johansson
- Centre for Metabolic Bone Diseases, University of Sheffield Medical School, Beech Hill Road, Sheffield, S10 2RX, UK
- Mary McKillop Health Institute, Australian Catholic University, Melbourne, Australia
| | - J K Lee
- Beacon International Specialist Centre, Petaling Jaya, Malaysia
| | - E Liu
- Mary McKillop Health Institute, Australian Catholic University, Melbourne, Australia
| | - D Messina
- IRO Medical Research Center, Buenos Aires and Rheumatology Section, Cosme Argerich, Buenos Aires, Argentina
| | - O Mkinsi
- Department of Rheumatology, Ibn Rochd University Hospital, Casablanca, Morocco
| | - D Pinto
- Department of Physical Therapy, Marquette University, Milwaukee, WI, USA
- Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - D Prieto-Alhambra
- NIHR Musculoskeletal Biomedical Research Unit, University of Oxford, Oxford, UK
- GREMPAL Research Group, CIBERFes and Idiap Jordi Gol, Instituto de Salud Carlos III and Universitat Autonoma deBarcelona, Barcelona, Spain
| | - K Saag
- University of Alabama at Birmingham, Birmingham, AL, USA
| | - W Xia
- Department of Endocrinology, Key Laboratory of Endocrinology, Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Shuaifuyuan No. 1, Wangfujing, Dongcheng District, Beijing, 100730, China
| | - L Zakraoui
- Service de Rhumatologie, University Tunis Manar and HôpitalMongi-Slim, la Marsa, Tunisia
| | - J Y Reginster
- Biochemistry Department, College of Science, King Saud University, Riyadh, Kingdom of Saudi Arabia
- Department of Public Health, Epidemiology and Health Economics, University of Liège, Liège, Belgium
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Matikas A, Foukakis T, Moebus V, Greil R, Bengtsson NO, Steger GG, Untch M, Johansson H, Hellström M, Malmström P, Gnant M, Loibl S, Bergh J. Dose tailoring of adjuvant chemotherapy for breast cancer based on hematologic toxicities: further results from the prospective PANTHER study with focus on obese patients. Ann Oncol 2020; 30:109-114. [PMID: 30357310 DOI: 10.1093/annonc/mdy475] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Background Adjuvant chemotherapy (ACT) for breast cancer improves relapse-free survival (BCRFS) and overall survival. Differences in terms of efficacy and toxicity could partly be explained by the significant interpatient variability in pharmacokinetics which cannot be captured by dosing according to body surface area. Consequently, tailored dosing was prospectively evaluated in the PANTHER trial. Patients and methods PANTHER is a multicenter, open-label, randomized phase III trial which compared tailored, dose-dense (DD) epirubicin/cyclophosphamide (E/C) and tailored docetaxel (D) (tDD) with standard interval 5-fluorouracil/E/C and D. The primary end point was BCRFS and the primary efficacy analysis has been previously published. In this secondary analysis, we aimed to retrospectively explore the concept of dose tailoring. Our two hypotheses were that BCRFS would not vary depending on the cumulative administered epirubicin dose; and that dose tailoring would lead to appropriate dosing and improved outcomes for obese patients, who are known to have worse prognosis and increased toxicity after DD ACT. Results Patients treated with tDD had similar BCRFS regardless of the cumulative epirubicin dose (P = 0.495), while obese patients in this group [body mass index (BMI) ≥30] had improved BCRFS compared with nonobese ones (BMI <30) [hazard ratio (HR) = 0.51, 95% confidence interval (CI) 0.30-0.89, P = 0.02]. Moreover, tDD was associated with improved BCRFS compared with standard treatment only in obese patients (HR = 0.49, 95% CI 0.26-0.90, P = 0.022) but not in nonobese ones (HR = 0.79, 95% CI 0.60-1.04, P = 0.089). The differences were not formally statistically significant (P for interaction 0.175). There were no differences in terms of toxicity across the epirubicin dose levels or the BMI groups. Conclusions Dose tailoring is a feasible strategy that can potentially improve outcomes in obese patients without increasing toxicity and should be pursued in further clinical studies. ClinicalTrials.gov identifier NCT00798070.
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Affiliation(s)
- A Matikas
- Department of Oncology/Pathology, Karolinska Institutet, Stockholm; Breast Center, Karolinska University Hospital, Stockholm, Sweden.
| | - T Foukakis
- Department of Oncology/Pathology, Karolinska Institutet, Stockholm; Breast Center, Karolinska University Hospital, Stockholm, Sweden
| | - V Moebus
- Department of Gynecology and Obstetrics, Klinikum Frankfurt Höchst, Academic Hospital Goethe University, Frankfurt, Germany
| | - R Greil
- IIIrd Medical Department, Paracelcus Medical University Salzburg, Salzburg Cancer Research Institute, Cancer Cluster Salzburg, Salzburg, Austria
| | | | - G G Steger
- Medical Oncology, Medical University, Vienna; Gaston H. Glock Research Center, Medical University, Vienna, Austria
| | - M Untch
- Department of Obstetrics and Gynecology, Helios Klinikum Berlin-Buch, Berlin, Germany
| | - H Johansson
- Breast Center, Karolinska University Hospital, Stockholm, Sweden
| | - M Hellström
- Breast Center, Karolinska University Hospital, Stockholm, Sweden
| | - P Malmström
- Division of Oncology and Pathology, Department of Clinical Sciences, Lund University, Lund; Department of Hematology, Oncology and Radiation Physics, Skåne University Hospital, Lund, Sweden
| | - M Gnant
- Gaston H. Glock Research Center, Medical University, Vienna, Austria; Department of Surgery, Medical University Vienna, Vienna, Austria
| | - S Loibl
- German Breast Group, Neu-Isenburg, Germany
| | - J Bergh
- Department of Oncology/Pathology, Karolinska Institutet, Stockholm; Breast Center, Karolinska University Hospital, Stockholm, Sweden
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Vala CH, Lorentzon M, Sundh V, Johansson H, Lewerin C, Sten S, Karlsson M, Ohlsson C, Johansson B, Kanis JA, Mellström D. Increased risk for hip fracture after death of a spouse-further support for bereavement frailty? Osteoporos Int 2020; 31:485-492. [PMID: 31832693 PMCID: PMC7075824 DOI: 10.1007/s00198-019-05242-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/09/2019] [Accepted: 11/19/2019] [Indexed: 12/16/2022]
Abstract
UNLABELLED Death of a spouse is associated with poorer physical and mental health. We followed all married individuals, born from 1902 to 1942, during the period from 1987 to 2002, and found that widows and widowers had higher risk for hip fracture, compared with still married women and men. INTRODUCTION Spousal bereavement can lead to poorer physical and mental health. We aimed to determine whether married women and men had an elevated risk of hip fracture after death of a spouse. METHODS In a retrospective cohort study, we followed all Swedish married individuals aged 60 to 100 years (n = 1,783,035), from 1987 to 2002. Data are presented as mean with 95% confidence interval (CI). RESULTS During the follow-up period, 21,305 hip fractures among widows and 6538 hip fractures among widowers were noted. The hazard ratio (HR) for hip fracture in widows compared with married women was 1.34 (95% CI 1.31 to 1.37) and for widowers compared with married men 1.32 (95% CI 1.29 to 1.35). The HR for hip fracture in the first 6 months after death of a spouse was in widows compared with married women 1.62 (95% CI 1.53 to 1.71) and in widowers compared with married men 1.84 (95% CI 1.68 to 2.03). The elevated risk was especially prominent in young widowers in the age range 60-69 years. During the first 6 months they showed a HR of 2.76 (95% CI 1.66 to 4.58) for a hip fractvure compared with age matched married men. Widows aged 60-69 years showed a HR of 1.59 (95% CI 1.26 to 1.99) compared with age matched married women. CONCLUSION Our observation of a higher hip fracture risk in both genders in connection with the death of a spouse indicates a possible effect of bereavement on frailty.
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Affiliation(s)
- C H Vala
- Geriatric Medicine, Department of Internal Medicine and Clinical Nutrition, Sahlgrenska Academy, University of Gothenburg, 413 45, Göteborg, Sweden.
- Region Västra Götaland, Geriatric Medicine Clinic, Sahlgrenska University Hospital, 431 80, Mölndal, Sweden.
| | - M Lorentzon
- Geriatric Medicine, Department of Internal Medicine and Clinical Nutrition, Sahlgrenska Academy, University of Gothenburg, 413 45, Göteborg, Sweden
- Region Västra Götaland, Geriatric Medicine Clinic, Sahlgrenska University Hospital, 431 80, Mölndal, Sweden
- Mary McKillop Health Institute, Australian Catholic University, Melbourne, Australia
| | - V Sundh
- Geriatric Medicine, Department of Internal Medicine and Clinical Nutrition, Sahlgrenska Academy, University of Gothenburg, 413 45, Göteborg, Sweden
| | - H Johansson
- Geriatric Medicine, Department of Internal Medicine and Clinical Nutrition, Sahlgrenska Academy, University of Gothenburg, 413 45, Göteborg, Sweden
- Mary McKillop Health Institute, Australian Catholic University, Melbourne, Australia
| | - C Lewerin
- Section of Haematology and Coagulation, Department of Internal Medicine and Clinical Nutrition, Sahlgrenska University Hospital, 413 45, Gothenburg, Sweden
| | - S Sten
- Department of Archaeology and Ancient History, Uppsala University-Campus Gotland, 621 57, Visby, Sweden
| | - M Karlsson
- Department of Orthopedics and Clinical Sciences, Skåne University Hospital, Lund University, 205 02, Malmö, Sweden
| | - C Ohlsson
- Center for Bone and Arthritis Research (CBAR), Sahlgrenska Academy, University of Gothenburg, 413 45, Gothenburg, Sweden
| | - B Johansson
- Department of Psychology, University of Gothenburg, 405 30, Gothenburg, Sweden
| | - J A Kanis
- Mary McKillop Health Institute, Australian Catholic University, Melbourne, Australia
- Centre for Metabolic Bone Disease, Medical School, University of Sheffield, Sheffield, S10 2RX, UK
| | - D Mellström
- Geriatric Medicine, Department of Internal Medicine and Clinical Nutrition, Sahlgrenska Academy, University of Gothenburg, 413 45, Göteborg, Sweden
- Region Västra Götaland, Geriatric Medicine Clinic, Sahlgrenska University Hospital, 431 80, Mölndal, Sweden
- Center for Bone and Arthritis Research (CBAR), Sahlgrenska Academy, University of Gothenburg, 413 45, Gothenburg, Sweden
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Condurache CI, Chiu S, Chotiyarnwong P, Johansson H, Shepstone L, Lenaghan E, Cooper C, Clarke S, Khioe RFS, Fordham R, Gittoes N, Harvey I, Harvey NC, Heawood A, Holland R, Howe A, Kanis JA, Marshall T, O'Neill TW, Peters TJ, Redmond NM, Torgerson D, Turner D, McCloskey E. Screening for high hip fracture risk does not impact on falls risk: a post hoc analysis from the SCOOP study. Osteoporos Int 2020; 31:457-464. [PMID: 31960099 DOI: 10.1007/s00198-019-05270-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2019] [Accepted: 12/17/2019] [Indexed: 12/30/2022]
Abstract
UNLABELLED A reduction in hip fracture incidence following population screening might reflect the effectiveness of anti-osteoporosis therapy, behaviour change to reduce falls, or both. This post hoc analysis demonstrates that identifying high hip fracture risk by FRAX was not associated with any alteration in falls risk. INTRODUCTION To investigate whether effectiveness of an osteoporosis screening programme to reduce hip fractures was mediated by modification of falls risk in the screening arm. METHODS The SCOOP study recruited 12,483 women aged 70-85 years, individually randomised to a control (n = 6250) or screening (n = 6233) arm; in the latter, osteoporosis treatment was recommended to women at high risk of hip fracture, while the control arm received usual care. Falls were captured by self-reported questionnaire. We determined the influence of baseline risk factors on future falls, and then examined for differences in falls risk between the randomisation groups, particularly in those at high fracture risk. RESULTS Women sustaining one or more falls were slightly older at baseline than those remaining falls free during follow-up (mean difference 0.70 years, 95%CI 0.55-0.85, p < 0.001). A higher FRAX 10-year probability of hip fracture was associated with increased likelihood of falling, with fall risk increasing by 1-2% for every 1% increase in hip fracture probability. However, falls risk factors were well balanced between the study arms and, importantly, there was no evidence of a difference in falls occurrence. In particular, there was no evidence of interaction (p = 0.18) between baseline FRAX hip fracture probabilities and falls risk in the two arms, consistent with no impact of screening on falls in women informed to be at high risk of hip fracture. CONCLUSION Effectiveness of screening for high FRAX hip fracture probability to reduce hip fracture risk was not mediated by a reduction in falls.
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Affiliation(s)
- C I Condurache
- Centre for Integrated Research in Musculoskeletal Aging, University of Sheffield Medical School, Sheffield, UK
- Department of Oncology and Metabolism, Academic Unit of Bone Metabolism, The Mellanby Centre For Bone Research, University of Sheffield, Sheffield, UK
| | - S Chiu
- Centre for Integrated Research in Musculoskeletal Aging, University of Sheffield Medical School, Sheffield, UK
- Department of Oncology and Metabolism, Academic Unit of Bone Metabolism, The Mellanby Centre For Bone Research, University of Sheffield, Sheffield, UK
| | - P Chotiyarnwong
- Department of Oncology and Metabolism, Academic Unit of Bone Metabolism, The Mellanby Centre For Bone Research, University of Sheffield, Sheffield, UK
- Department of Orthopaedic Surgery, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - H Johansson
- Centre for Metabolic Diseases, University of Sheffield Medical School, Beech Hill Road, Sheffield, S10 2RX, UK
- Centre for Bone and Arthritis Research (CBAR), Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Victoria, Australia
| | - L Shepstone
- Norwich Medical School, University of East Anglia, Norwich, UK
| | - E Lenaghan
- Norwich Medical School, University of East Anglia, Norwich, UK
| | - C Cooper
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
- Oxford Biomedical Research Unit, University of Oxford, Oxford, UK
| | - S Clarke
- Department of Rheumatology, University Hospitals Bristol, Bristol, UK
| | - R F S Khioe
- Norwich Medical School, University of East Anglia, Norwich, UK
| | - R Fordham
- Norwich Medical School, University of East Anglia, Norwich, UK
| | - N Gittoes
- Centre for Endocrinology, Diabetes and Metabolism, Queen Elizabeth Hospital, Birmingham, UK
| | - I Harvey
- Norwich Medical School, University of East Anglia, Norwich, UK
| | - N C Harvey
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - A Heawood
- Bristol Medical School, University of Bristol, Bristol, UK
| | - R Holland
- Leicester Medical School, Centre for Medicine, University of Leicester, Leicester, UK
| | - A Howe
- Norwich Medical School, University of East Anglia, Norwich, UK
| | - J A Kanis
- Centre for Metabolic Diseases, University of Sheffield Medical School, Beech Hill Road, Sheffield, S10 2RX, UK
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Victoria, Australia
| | - T Marshall
- Norfolk and Norwich University Hospital, Norwich, UK
| | - T W O'Neill
- NIHR 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
| | - T J Peters
- Bristol Medical School, University of Bristol, Bristol, UK
| | - N M Redmond
- Bristol Medical School, University of Bristol, Bristol, UK
- National Institute for Health Research Collaborations for Leadership in Applied Health Research and Care West (NIHR CLAHRC West), University Hospitals Bristol NHS Foundation, Bristol, UK
| | - D Torgerson
- Department of Health Sciences, University of York, York, UK
| | - D Turner
- Norwich Medical School, University of East Anglia, Norwich, UK
| | - E McCloskey
- Centre for Integrated Research in Musculoskeletal Aging, University of Sheffield Medical School, Sheffield, UK.
- Department of Oncology and Metabolism, Academic Unit of Bone Metabolism, The Mellanby Centre For Bone Research, University of Sheffield, Sheffield, UK.
- Centre for Metabolic Diseases, University of Sheffield Medical School, Beech Hill Road, Sheffield, S10 2RX, UK.
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Lesnyak O, Zakroyeva A, Lobanchenko O, Johansson H, Liu E, Lorentzon M, Harvey NC, McCloskey E, Kanis JA. A surrogate FRAX model for the Kyrgyz Republic. Arch Osteoporos 2020; 15:68. [PMID: 32377964 PMCID: PMC7203583 DOI: 10.1007/s11657-020-00743-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2020] [Accepted: 04/27/2020] [Indexed: 02/03/2023]
Abstract
UNLABELLED The hip fracture rates from Kazakhstan were used to create a surrogate FRAX® model for the Kyrgyz Republic. INTRODUCTION The International Society for Clinical Densitometry and International Osteoporosis Foundation recommend utilizing a surrogate FRAX model, based on the country-specific risk of death, and fracture data based on a country where fracture rates are considered to be representative of the index country. OBJECTIVE This paper describes a surrogate FRAX model for the Kyrgyz Republic. METHODS The FRAX model used the incidence of hip fracture from the neighbouring country of Kazakhstan and the death risk for the Kyrgyz Republic. RESULTS Compared with the model for Kazakhstan, the surrogate model gave somewhat higher 10-year fracture probabilities for men between 60 and 80 years of age and lower probabilities for men above the age of 80. For women the probabilities were similar up to the age of 75-80 years and then lower. There were very close correlations in fracture probabilities between the surrogate and authentic models (1.00) so that the use of the Kyrgyz model had little impact on the rank order of risk. It was estimated that 2752 hip fractures arose in 2015 in individuals over the age of 50 years in the Kyrgyz Republic, with a predicted increase by 207% to 8435 in 2050. CONCLUSION The surrogate FRAX model for the Kyrgyz Republic provides the opportunity to determine fracture probability among the Kyrgyz population and help guide decisions about treatment.
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Affiliation(s)
- O. Lesnyak
- Mechnikov North West State Medical University, St. Petersburg, Russia
| | - A. Zakroyeva
- Ural State Medical University, Yekaterinburg, Russia
| | - O. Lobanchenko
- I.K. Akhunbaev Kyrgyz State Medical Academy, Bishkek, Kyrgyz Republic
| | - H. Johansson
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
| | - E. Liu
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
| | - M. Lorentzon
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia ,Geriatric Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - N. C. Harvey
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - E. McCloskey
- Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK
| | - J. A. Kanis
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia ,Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK
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Kanis JA, Harvey NC, McCloskey E, Bruyère O, Veronese N, Lorentzon M, Cooper C, Rizzoli R, Adib G, Al-Daghri N, Campusano C, Chandran M, Dawson-Hughes B, Javaid K, Jiwa F, Johansson H, Lee JK, Liu E, Messina D, Mkinsi O, Pinto D, Prieto-Alhambra D, Saag K, Xia W, Zakraoui L, Reginster JY. Algorithm for the management of patients at low, high and very high risk of osteoporotic fractures. Osteoporos Int 2020; 31:1-12. [PMID: 31720707 PMCID: PMC7018677 DOI: 10.1007/s00198-019-05176-3] [Citation(s) in RCA: 180] [Impact Index Per Article: 45.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/26/2019] [Accepted: 09/18/2019] [Indexed: 01/26/2023]
Abstract
Guidance is provided in an international setting on the assessment and specific treatment of postmenopausal women at low, high and very high risk of fragility fractures. INTRODUCTION The International Osteoporosis Foundation and European Society for Clinical and Economic Aspects of Osteoporosis and Osteoarthritis published guidance for the diagnosis and management of osteoporosis in 2019. This manuscript seeks to apply this in an international setting, taking additional account of further categorisation of increased risk of fracture, which may inform choice of therapeutic approach. METHODS Clinical perspective and updated literature search. RESULTS The following areas are reviewed: categorisation of fracture risk and general pharmacological management of osteoporosis. CONCLUSIONS A platform is provided on which specific guidelines can be developed for national use to characterise fracture risk and direct interventions.
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Affiliation(s)
- J A Kanis
- Centre for Metabolic Bone Diseases, University of Sheffield Medical School, Beech Hill Road, S10 2RX, Sheffield, UK.
- Mary McKillop Health Institute, Australian Catholic University, Melbourne, Australia.
| | - N C Harvey
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - E McCloskey
- Centre for Metabolic Bone Diseases, University of Sheffield Medical School, Beech Hill Road, S10 2RX, Sheffield, UK
- MRC and Arthritis Research UK Centre for Integrated Research in Musculoskeletal Ageing Mellanby, Sheffield, UK
| | - O Bruyère
- World Health Organization Collaborating Center for the Public Health Aspects of Musculoskeletal Health and Aging, Department of Public Health, Epidemiology and Health Economics, University of Liège, Liège, Belgium
| | - N Veronese
- National Research Council, Neuroscience Institute, Aging Branch, Via Giustiniani, 2, 35128, Padova, Italy
| | - M Lorentzon
- Mary McKillop Health Institute, Australian Catholic University, Melbourne, Australia
- Geriatric Medicine, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine and Clinical Nutrition, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Region Västra Götaland, Geriatric Medicine Clinic, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - C Cooper
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- NIHR Musculoskeletal Biomedical Research Unit, University of Oxford, Oxford, UK
| | - R Rizzoli
- Service of Bone Diseases, Geneva University Hospitals and Faculty of Medicine, Geneva, Switzerland
| | - G Adib
- Syrian National Osteoporosis Society, Damascus, Syria
| | - N Al-Daghri
- Chair for Biomarkers of Chronic Diseases, Biochemistry Dept., College of Science, King Saud University, Riyadh, Kingdom of Saudi Arabia
| | - C Campusano
- Clinica Universidad de los Andes and Faculty of Medicine, Universidad de los Andes, Santiago, Chile
| | - M Chandran
- Osteoporosis and Bone Metabolism Unit, Department of Endocrinology, Singapore General Hospital, ACADEMIA, 20, College Road, Singapore, 169856, Singapore
| | - B Dawson-Hughes
- Jean Mayer USDA Human Nutrition Research Center on Aging at Tufts University, Boston, MA, USA
| | - K Javaid
- NIHR Musculoskeletal Biomedical Research Unit, University of Oxford, Oxford, UK
| | - F Jiwa
- Chair of the Committee of Patients Societies at the International Osteoporosis Foundation, Osteoporosis Canada, Toronto, Canada
| | - H Johansson
- Centre for Metabolic Bone Diseases, University of Sheffield Medical School, Beech Hill Road, S10 2RX, Sheffield, UK
- Mary McKillop Health Institute, Australian Catholic University, Melbourne, Australia
| | - J K Lee
- Beacon International Specialist Centre, Petaling Jaya, Malaysia
| | - E Liu
- Mary McKillop Health Institute, Australian Catholic University, Melbourne, Australia
| | - D Messina
- IRO Medical Research Center, Buenos Aires and Rheumatology section, Cosme Argerich, Buenos Aires, Argentina
| | - O Mkinsi
- Department of Rheumatology, Ibn Rochd University Hospital, Casablanca, Morocco
| | - D Pinto
- Department of Physical Therapy, Marquette University, Milwaukee, WI, USA
- Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - D Prieto-Alhambra
- NIHR Musculoskeletal Biomedical Research Unit, University of Oxford, Oxford, UK
- GREMPAL Research Group, CIBERFes and Idiap Jordi Gol, Instituto de Salud Carlos III and Universitat Autonoma de Barcelona, Barcelona, Spain
| | - K Saag
- University of Alabama at Birmingham, Birmingham, AL, USA
| | - W Xia
- Department of Endocrinology, Key Laboratory of Endocrinology, Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Shuaifuyuan No. 1, Wangfujing, Dongcheng District, Beijing, 100730, China
| | - L Zakraoui
- Service de Rhumatologie, University Tunis Manar and Hôpital Mongi-Slim, la Marsa, Tunisia
| | - J -Y Reginster
- Chair for Biomarkers of Chronic Diseases, Biochemistry Dept., College of Science, King Saud University, Riyadh, Kingdom of Saudi Arabia
- Department of Public Health, Epidemiology and Health Economics, University of Liège, Liège, Belgium
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Issayeva S, Lesnyak O, Zakroyeva A, Issayeva B, Dilmanova D, Johansson H, Liu E, Lorentzon M, Harvey NC, McCloskey E, Kanis JA. Epidemiology of osteoporotic fracture in Kazakhstan and development of a country specific FRAX model. Arch Osteoporos 2020; 15:30. [PMID: 32108270 PMCID: PMC7046573 DOI: 10.1007/s11657-020-0701-3] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/23/2019] [Accepted: 01/15/2020] [Indexed: 02/03/2023]
Abstract
UNLABELLED Retrospective and prospective population-based survey in a region of the Republic of Kazakhstan determined the incidence of fractures at the hip, proximal humerus and distal forearm. The hip fracture rates were used to create a FRAX® model to enhance fracture risk assessment in Kazakhstan. OBJECTIVE This paper describes the epidemiology of osteoporotic fractures in the Republic of Kazakhstan that was used to develop a country specific FRAX® tool for fracture prediction. METHODS We carried out a retrospective population-based survey in Taldykorgan in the Republic of Kazakhstan representing approximately 1% of the country's population. Hip, forearm and humerus fractures were identified retrospectively in 2015 and 2016 from hospital registers and the trauma centre. Hip fractures were prospectively identified in 2017 from the same sources and additionally from primary care data. Age- and sex-specific incidence of hip fracture and national mortality rates were incorporated into a FRAX model for Kazakhstan. Fracture probabilities were compared with those from neighbouring countries having FRAX models. RESULTS The difference in hip fracture incidence between the retrospective and prospective survey indicated that approximately 25% of hip fracture cases did not come to hospital attention. The incidence of hip fracture applied nationally suggested that the estimated number of hip fractures nationwide in persons over the age of 50 years for 2015 was 11,690 and is predicted to increase by 140% to 28,000 in 2050. Hip fracture incidence was a good predictor of forearm and humeral fractures in men but not in women. CONCLUSION The FRAX model should enhance accuracy of determining fracture probability among the Kazakh population and help guide decisions about treatment.
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Affiliation(s)
- S Issayeva
- Asfendiyarov National Medical University, 94, Tole Bi Street, Almaty, Kazakhstan, 050000
| | - O Lesnyak
- Mechnikov North West State Medical University, 41, Kirochnaya Street, 191015, St. Petersburg, Russia
| | - A Zakroyeva
- Ural State Medical University, 3, Repina Street, 620028, Yekaterinburg, Russia
| | - B Issayeva
- Asfendiyarov National Medical University, 94, Tole Bi Street, Almaty, Kazakhstan, 050000
| | - D Dilmanova
- Asfendiyarov National Medical University, 94, Tole Bi Street, Almaty, Kazakhstan, 050000
| | - H Johansson
- Mary McKillop Health Institute, Australian Catholic University, Melbourne, Australia
| | - E Liu
- Mary McKillop Health Institute, Australian Catholic University, Melbourne, Australia
| | - M Lorentzon
- Mary McKillop Health Institute, Australian Catholic University, Melbourne, Australia
- Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
| | - N C Harvey
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - E McCloskey
- Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK
| | - J A Kanis
- Mary McKillop Health Institute, Australian Catholic University, Melbourne, Australia.
- Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK.
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Lesnyak O, Ismailov S, Shakirova M, Alikhanova N, Zakroyeva A, Abboskhujaeva L, Johansson H, Harvey NC, McCloskey E, Kanis JA. Epidemiology of hip fracture and the development of a FRAX model for Uzbekistan. Arch Osteoporos 2020; 15:119. [PMID: 32728952 PMCID: PMC7391387 DOI: 10.1007/s11657-020-00792-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/22/2020] [Accepted: 07/21/2020] [Indexed: 02/03/2023]
Abstract
UNLABELLED A prospective population-based survey in a region of the Republic of Uzbekistan determined the incidence of fractures at the hip. The hip fracture rates were used to create a FRAX® model to facilitate fracture risk assessment in Uzbekistan. OBJECTIVE This paper describes the epidemiology of hip fracture in the Republic of Uzbekistan that was used to develop a country-specific FRAX® tool for fracture prediction. METHODS During a 1-year (2016/17) prospective population-based survey in the Pap district of the Republic of Uzbekistan, hip fractures were prospectively identified from hospital registers, trauma centres and primary care and community sources. Age- and sex-specific incidence of hip fracture and national mortality rates were incorporated into a FRAX model for Uzbekistan. Fracture probabilities were compared with those from neighbouring Kazakhstan and Kyrgystan. RESULTS Approximately 41% of hip fracture cases did not come to medical attention, and two thirds of patients overall were not admitted to hospital. The incidence of hip fracture applied nationally suggested that the estimated number of hip fractures nationwide in persons over the age of 50 years for 2015 was 16,764 and is predicted to increase more than three-fold to 60,272 in 2050. FRAX-based probabilities were higher in Uzbekistan than Kazakhstan or Kyrgystan. CONCLUSION The FRAX model should enhance accuracy of determining fracture probability among the Uzbek population and help guide decisions about treatment.
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Affiliation(s)
- O Lesnyak
- Mechnikov North West State Medical University, St. Petersburg, Russia
| | - S Ismailov
- Republican Medical Center for Endocrinology, Tashkent, Uzbekistan
| | - M Shakirova
- Republican Medical Center for Endocrinology, Tashkent, Uzbekistan
| | - N Alikhanova
- Republican Medical Center for Endocrinology, Tashkent, Uzbekistan
| | - A Zakroyeva
- Ural State Medical University, 3 Repina street, Yekaterinburg, Russia
| | - L Abboskhujaeva
- Republican Medical Center for Endocrinology, Tashkent, Uzbekistan
| | - H Johansson
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
| | - NC Harvey
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - E McCloskey
- Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK
| | - JA Kanis
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia ,Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK
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49
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Leslie WD, Morin SN, Lix LM, Martineau P, Bryanton M, McCloskey EV, Johansson H, Harvey NC, Kanis JA. Fracture prediction from self-reported falls in routine clinical practice: a registry-based cohort study. Osteoporos Int 2019; 30:2195-2203. [PMID: 31372711 DOI: 10.1007/s00198-019-05106-3] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/28/2019] [Accepted: 07/21/2019] [Indexed: 11/30/2022]
Abstract
A simple question construct regarding number of falls in the previous year, ascertained by a single question, was strongly associated with incident fractures in routine clinical practice using a population-based dual-energy X-ray absorptiometry (DXA) registry. INTRODUCTION There is conflicting evidence from research cohorts that falls independently increase fracture risk. We examined the independent effects of falls on subsequent fractures in a large clinical registry of bone mineral density (BMD) results for the Province of Manitoba, Canada that has been systematically collecting self-reported falls information since September 1, 2012. METHODS The study population consisted of 24,943 women and men aged 40 years and older (mean age 65.5 ± 10.2 years) with fracture probability assessment (FRAX), self-reported falls for the previous year (categorized as none, 1, 2, or > 3) and fracture outcomes. Adjusted hazard ratios (HR) with 95 confidence intervals (CI) for time to fracture were estimated using Cox proportional hazards models. RESULTS During mean observation time of 2.7 ± 1.0 years, 863 (3.5%) sustained one or more major osteoporotic fractures (MOF), 212 (0.8%) sustained a hip fracture, and 1210 (4.9%) sustained any incident fracture. Compared with no falls in the previous year (referent), there was a gradient of increasing risk for fracture with increasing number of falls (all P < 0.001). Results showed minimal attenuation with covariate adjustment. When adjusted for baseline fracture probability (FRAX score with BMD) the HR for MOF increased from 1.49 (95% CI 1.25-1.78) for one fall to 1.74 (1.33-2.27) for two falls to 2.62 (2.06-3.34) for ≥ 3 falls. HRs were similar for any incident fracture and slightly greater for prediction of hip fracture, reaching 3.41 (95% CI 2.19-5.31) for ≥ 3 previous falls. CONCLUSIONS Self-report number of falls in the previous year is strongly associated with incident fracture risk in the routine clinical practice setting, and this risk is independent of age, sex, BMD, and baseline fracture probability. Moreover, there is dose-response with multiple falls (up to a maximum of 3) conferring greater risk than a single fall.
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Affiliation(s)
- W D Leslie
- Department of Medicine (C5121), University of Manitoba, 409 Tache Avenue, Winnipeg, MB, R2H 2A6, Canada.
| | | | - L M Lix
- Department of Medicine (C5121), University of Manitoba, 409 Tache Avenue, Winnipeg, MB, R2H 2A6, Canada
| | - P Martineau
- Department of Medicine (C5121), University of Manitoba, 409 Tache Avenue, Winnipeg, MB, R2H 2A6, Canada
- Harvard Medical School, Boston, MA, USA
| | - M Bryanton
- Department of Medicine (C5121), University of Manitoba, 409 Tache Avenue, Winnipeg, MB, R2H 2A6, Canada
| | - E V McCloskey
- Centre for Metabolic Bone Diseases, University of Sheffield Medical School, Sheffield, UK
| | - H Johansson
- Centre for Metabolic Bone Diseases, University of Sheffield Medical School, Sheffield, UK
- Mary McKillop Health Institute, Australian Catholic University, Melbourne, Australia
| | - N C Harvey
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - J A Kanis
- Centre for Metabolic Bone Diseases, University of Sheffield Medical School, Sheffield, UK
- Mary McKillop Health Institute, Australian Catholic University, Melbourne, Australia
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Khashayar P, Keshtkar A, Ostovar A, Larijani B, Johansson H, Harvey NC, Lorentzon M, McCloskey E, Kanis JA. FRAX-based intervention and assessment thresholds for osteoporosis in Iran. Osteoporos Int 2019; 30:2225-2230. [PMID: 31372709 DOI: 10.1007/s00198-019-05078-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/17/2019] [Accepted: 07/01/2019] [Indexed: 12/28/2022]
Abstract
UNLABELLED We compared the utility of the current Iranian guidelines that recommend treatment in women with a T-score ≤ - 2.5 SD with a FRAX-based intervention threshold equivalent to women of average BMI with a prior fragility fracture. Whereas the FRAX-based intervention threshold identified women at high fracture probability, the T-score threshold was less sensitive, and the associated fracture risk decreased markedly with age. INTRODUCTION The fracture risk assessment algorithm FRAX® has been recently calibrated for Iran, but guidance is needed on how to apply fracture probabilities to clinical practice. METHODS The age-specific ten-year probabilities of a major osteoporotic fracture were calculated in women with average BMI to determine fracture probabilities at two potential intervention thresholds. The first comprised the age-specific fracture probabilities associated with a femoral neck T-score of - 2.5 SD, in line with current guidelines in Iran. The second approach determined age-specific fracture probabilities that were equivalent to a woman with a prior fragility fracture, without BMD. The parsimonious use of BMD was additionally explored by the computation of upper and lower assessment thresholds for BMD testing. RESULTS When a BMD T-score ≤ - 2.5 SD was used as an intervention threshold, FRAX probabilities in women aged 50 years was approximately two-fold higher than in women of the same age but with an average BMD and no risk factors. The relative increase in risk associated with the BMD threshold decreased progressively with age such that, at the age of 80 years or more, a T-score of - 2.5 SD was actually protective. The 10-year probability of a major osteoporotic fracture by age, equivalent to women with a previous fracture rose with age from 4.9% at the age of 50 years to 17%, at the age of 80 years, and identified women at increased risk at all ages. CONCLUSION Intervention thresholds based on BMD alone do not effectively target women at high fracture risk, particularly in the elderly. In contrast, intervention thresholds based on fracture probabilities equivalent to a "fracture threshold" target women at high fracture risk.
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Affiliation(s)
- P Khashayar
- Osteoporosis Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
- Center for Microsystems Technology, Imec and Ghent University, 9052, Gent-Zwijnaarde, Belgium
| | - A Keshtkar
- Department of Health Sciences Education Development, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - A Ostovar
- Osteoporosis Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - B Larijani
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
| | - H Johansson
- Mary McKillop Health Institute, Australian Catholic University, Melbourne, Australia
- Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK
| | - N C Harvey
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Tremona Road, Southampton, UK
| | - M Lorentzon
- Mary McKillop Health Institute, Australian Catholic University, Melbourne, Australia
- Geriatric Medicine, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
- Department of Geriatric Medicine, Sahlgrenska University Hospital, Mölndal, Sweden
| | - E McCloskey
- Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK
- Centre for Integrated research in Musculoskeletal Ageing (CIMA), Mellanby Centre for Bone Research, University of Sheffield, Sheffield, UK
| | - J A Kanis
- Mary McKillop Health Institute, Australian Catholic University, Melbourne, Australia
- Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK
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