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Hipp JA, Grieco TF, Newman P, Reitman CA. Definition of normal vertebral morphometry using NHANES‐II radiographs. JBMR Plus 2022; 6:e10677. [PMID: 36248278 PMCID: PMC9549721 DOI: 10.1002/jbm4.10677] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Revised: 08/08/2022] [Accepted: 08/26/2022] [Indexed: 11/26/2022] Open
Abstract
A robust definition of normal vertebral morphometry is required to confidently identify abnormalities such as fractures. The Second National Health and Nutrition Examination Survey (NHANES‐II) collected a nationwide probability sample to document the health status of the United States. Over 10,000 lateral cervical spine and 7,000 lateral lumbar spine X‐rays were collected. Demographic, anthropometric, health, and medical history data were also collected. The coordinates of the vertebral body corners were obtained for each lumbar and cervical vertebra using previously validated, automated technology consisting of a pipeline of neural networks and coded logic. These landmarks were used to calculate six vertebral body morphometry metrics. Descriptive statistics were generated and used to identify and trim outliers from the data. Descriptive statistics were tabulated using the trimmed data for use in quantifying deviation from average for each metric. The dependency of these metrics on sex, age, race, nation of origin, height, weight, and body mass index (BMI) was also assessed. There was low variation in vertebral morphometry after accounting for vertebrae (eg, L1, L2), and the R2 was high for ANOVAs. Excluding outliers, age, sex, race, nation of origin, height, weight, and BMI were statistically significant for most of the variables, though the F‐statistic was very small compared to that for vertebral level. Excluding all variables except vertebra changed the ANOVA R2 very little. Reference data were generated that could be used to produce standardized metrics in units of SD from mean. This allows for easy identification of abnormalities resulting from vertebral fractures, atypical vertebral body morphometries, and other congenital or degenerative conditions. Standardized metrics also remove the effect of vertebral level, facilitating easy interpretation and enabling data for all vertebrae to be pooled in research studies. © 2022 The Authors. JBMR Plus published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research.
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Affiliation(s)
- John A. Hipp
- Medical Metrics, Imaging Core Laboratory Houston TX
| | | | | | - Charles A. Reitman
- Orthopaedics and Physical Medicine Medical University of South Carolina Charleston SC
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Dalal G, Bromiley PA, Kariki EP, Luetchens S, Cootes TF, Payne K. Understanding current UK practice for the incidental identification of vertebral fragility fractures from CT scans: an expert elicitation study. Aging Clin Exp Res 2022; 34:1909-1918. [PMID: 35435584 PMCID: PMC9283144 DOI: 10.1007/s40520-022-02124-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Accepted: 03/21/2022] [Indexed: 11/29/2022]
Abstract
Background There is an emerging interest in using automated approaches to enable the incidental identification of vertebral fragility fractures (VFFs) on existing medical images visualising the spine. Aim To quantify values, and the degree of uncertainty associated with them, for the incidental identification of VFFs from computed tomography (CT) scans in current practice. Methods An expert elicitation exercise was conducted to generate point estimates and measures of uncertainty for four values representing the probability of: VFF being correctly reported by the radiologist; the absence of VFF being correctly assessed by the radiologist; being referred for management when a VFF is identified; having a dual-energy X-ray absorptiometry (DXA) scan after general practitioner (GP) referral. Data from a sample of seven experts in the diagnosis and management of people with VFFs were pooled using mathematical aggregation. Results The estimated mean values for each probability parameter were: VFF being correctly reported by the radiologist = 0.25 (standard deviation (SD): 0.21); absence of VFF being correctly assessed by the radiologist = 0.89 (0.10); being referred for management when a VFF is identified by the radiologist = 0.15 (0.12); having a DXA scan after GP referral = 0.66 (0.28). Discussion These estimates could be used to facilitate the subsequent early economic evaluation of potential new approaches to improve the health outcomes of people with VFFs. Conclusion In the absence of epidemiological studies, this study produced point estimates and measures of uncertainty for key parameters needed to describe current pathways for the incidental diagnosis of VFFs. Supplementary Information The online version contains supplementary material available at 10.1007/s40520-022-02124-w.
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Affiliation(s)
- Garima Dalal
- Manchester Centre for Health Economics, University of Manchester, Oxford Road, Manchester, UK
| | - Paul A Bromiley
- Centre for Imaging Sciences, University of Manchester, Manchester, UK
| | - Eleni P Kariki
- Centre for Imaging Sciences, University of Manchester, Manchester, UK
- Manchester University NHS Foundation Trust, Manchester, UK
| | | | - Timothy F Cootes
- Centre for Imaging Sciences, University of Manchester, Manchester, UK
| | - Katherine Payne
- Manchester Centre for Health Economics, University of Manchester, Oxford Road, Manchester, UK.
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Gregson CL, Armstrong DJ, Bowden J, Cooper C, Edwards J, Gittoes NJL, Harvey N, Kanis J, Leyland S, Low R, McCloskey E, Moss K, Parker J, Paskins Z, Poole K, Reid DM, Stone M, Thomson J, Vine N, Compston J. UK clinical guideline for the prevention and treatment of osteoporosis. Arch Osteoporos 2022; 17:58. [PMID: 35378630 PMCID: PMC8979902 DOI: 10.1007/s11657-022-01061-5] [Citation(s) in RCA: 137] [Impact Index Per Article: 68.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Accepted: 01/03/2022] [Indexed: 02/03/2023]
Abstract
The National Osteoporosis Guideline Group (NOGG) has revised the UK guideline for the assessment and management of osteoporosis and the prevention of fragility fractures in postmenopausal women, and men age 50 years and older. Accredited by NICE, this guideline is relevant for all healthcare professionals involved in osteoporosis management. INTRODUCTION The UK National Osteoporosis Guideline Group (NOGG) first produced a guideline on the prevention and treatment of osteoporosis in 2008, with updates in 2013 and 2017. This paper presents a major update of the guideline, the scope of which is to review the assessment and management of osteoporosis and the prevention of fragility fractures in postmenopausal women, and men age 50 years and older. METHODS Where available, systematic reviews, meta-analyses and randomised controlled trials were used to provide the evidence base. Conclusions and recommendations were systematically graded according to the strength of the available evidence. RESULTS Review of the evidence and recommendations are provided for the diagnosis of osteoporosis, fracture-risk assessment and intervention thresholds, management of vertebral fractures, non-pharmacological and pharmacological treatments, including duration and monitoring of anti-resorptive therapy, glucocorticoid-induced osteoporosis, and models of care for fracture prevention. Recommendations are made for training; service leads and commissioners of healthcare; and for review criteria for audit and quality improvement. CONCLUSION The guideline, which has received accreditation from the National Institute of Health and Care Excellence (NICE), provides a comprehensive overview of the assessment and management of osteoporosis for all healthcare professionals involved in its management. This position paper has been endorsed by the International Osteoporosis Foundation and by the European Society for the Clinical and Economic Aspects of Osteoporosis, Osteoarthritis and Musculoskeletal Diseases.
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Affiliation(s)
- Celia L Gregson
- Musculoskeletal Research Unit, Bristol Medical School, Learning and Research Building, University of Bristol, Southmead Hospital, Bristol, BS10 5NB, UK.
- Royal United Hospital NHS Foundation Trust, Bath, UK.
| | - David J Armstrong
- Western Health and Social Care Trust (NI), Nutrition Innovation Centre for Food and Health, Ulster University, and Visiting Professor, Belfast, Northern Ireland
| | - Jean Bowden
- Musculoskeletal Research Unit, Bristol Medical School, Learning and Research Building, University of Bristol, Southmead Hospital, Bristol, BS10 5NB, UK
| | - Cyrus Cooper
- 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
- NIHR Oxford Biomedical Research Centre, University of Oxford, Oxford, UK
| | - John Edwards
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Staffordshire, and Wolstanton Medical Centre, Newcastle under Lyme, UK
| | - Neil J L Gittoes
- Centre for Endocrinology, Diabetes and Metabolism, Queen Elizabeth Hospital, University Hospitals Birmingham & University of Birmingham, Birmingham, UK
| | - Nicholas 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
| | - John Kanis
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia and Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK
| | | | - Rebecca Low
- Abingdon and Specialty Doctor in Metabolic Bone Disease, Marcham Road Health Centre, Nuffield Orthopaedic Centre, Oxford, UK
| | - Eugene McCloskey
- Department of Oncology & Metabolism, MRC Versus Arthritis Centre for Integrated Research in Musculoskeletal Ageing (CIMA), Mellanby Centre for Musculoskeletal Research, University of Sheffield, Sheffield, UK
| | - Katie Moss
- St George's University Hospital, London, UK
| | - Jane Parker
- Musculoskeletal Research Unit, Bristol Medical School, Learning and Research Building, University of Bristol, Southmead Hospital, Bristol, BS10 5NB, UK
| | - Zoe Paskins
- School of Medicine, Keele University, Keele, Haywood Academic Rheumatology Centre, Haywood Hospital, Midlands Partnership NHS Foundation Trust, Stoke-on-Trent, UK
| | - Kenneth Poole
- Department of Medicine, University of Cambridge, Cambridge, UK
- NIHR Cambridge Biomedical Research Centre, Cambridge, UK
| | | | - Mike Stone
- University Hospital Llandough, Cardiff and Vale University Health Board, Llandough, UK
| | | | - Nic Vine
- Musculoskeletal Research Unit, Bristol Medical School, Learning and Research Building, University of Bristol, Southmead Hospital, Bristol, BS10 5NB, UK
| | - Juliet Compston
- University of Cambridge, School of Clinical Medicine, Cambridge, UK
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Harvey NC, Poole KE, Ralston SH, McCloskey EV, Sangan CB, Wiggins L, Jones C, Gittoes N, Compston J. Towards a cure for osteoporosis: the UK Royal Osteoporosis Society (ROS) Osteoporosis Research Roadmap. Arch Osteoporos 2022; 17:12. [PMID: 34988772 DOI: 10.1007/s11657-021-01049-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Accepted: 12/10/2021] [Indexed: 02/03/2023]
Affiliation(s)
- Nicholas 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.
| | - Kenneth E Poole
- Metabolic Bone Disease Unit, Addenbrooke's Hospital, Cambridge, UK
| | - Stuart H Ralston
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Eugene 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
| | | | | | | | - Neil Gittoes
- Royal Osteoporosis Society, Bath, UK
- Centre for Endocrinology, Diabetes and Metabolism (CEDAM), University of Birmingham, Birmingham, UK
| | - Juliet Compston
- Department of Medicine, Cambridge Biomedical Campus, University of Cambridge, Cambridge, UK
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