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Nguyen HT, Nguyen BT, Tran AV, Nguyen TT, Ngo LH, Vo T, Nhung Thai TH, Mai LD, Tran TS, Nguyen TV, Ho-Pham LT. A predictive nomogram for selective screening of asymptomatic vertebral fractures: The Vietnam Osteoporosis Study. Osteoporos Sarcopenia 2025; 11:9-14. [PMID: 40256357 PMCID: PMC12009111 DOI: 10.1016/j.afos.2024.12.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2024] [Revised: 11/25/2024] [Accepted: 12/31/2024] [Indexed: 04/22/2025] Open
Abstract
Objectives Vertebral fractures are associated with disability and mortality, but most vertebral fractures are asymptomatic. The present study aimed to determine the incidence of and develop a predictive nomogram for asymptomatic vertebral fractures in Vietnamese adults. Methods This cohort study as a part of the Vietnam Osteoporosis Study involved 168 men and 287 women aged 50 years and older without a clinically diagnosed vertebral fracture. Their spine x-rays were taken at the recruitment and subsequent 2-year visit. Vertebral fractures were ascertained using the Genant's semi-quantitative method. We employed the Bayesian Model Averaging method to search for the optimal model for predicting asymptomatic vertebral fractures. A predictive nomogram was also developed to facilitate risk prediction. Results During a median of 2.38 years of follow-up, 13 men and 16 women developed an asymptomatic vertebral fracture, yielding the overall incidence rate of 28 fractures per 1000 person-years, or 33 fractures/1000 person-years in men and 24 fractures/1000 person-years in women, respectively. Most asymptomatic vertebral fractures were moderate, almost 1.5 times more common than mild fractures. The optimal model for predicting incident asymptomatic vertebral fractures included age, male sex and lower femoral neck T-score. The area under the receiver's operating characteristic curve was 0.91, with 95% CI ranging from 0.86 to 0.96. Conclusions Asymptomatic vertebral fractures were relatively common among adults in Vietnam. A simple model with sex, age and femoral neck T-score is helpful for selective screening of asymptomatic vertebral fractures in Vietnamese individuals.
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Affiliation(s)
- Hoa T. Nguyen
- Can Tho University of Medicine and Pharmacy, 902510, Vietnam
- University of Medicine and Pharmacy, Hue University, 530000, Vietnam
- Saigon Precise Medicine Research Center, 70000, Vietnam
| | - Bao T. Nguyen
- Can Tho University of Medicine and Pharmacy, 902510, Vietnam
| | - An V. Tran
- Can Tho University of Medicine and Pharmacy, 902510, Vietnam
| | - Tan T. Nguyen
- Can Tho University of Medicine and Pharmacy, 902510, Vietnam
| | - Long H. Ngo
- Can Tho University of Medicine and Pharmacy, 902510, Vietnam
| | - Tam Vo
- University of Medicine and Pharmacy, Hue University, 530000, Vietnam
| | | | - Linh D. Mai
- Saigon Precise Medicine Research Center, 70000, Vietnam
- Biomedicine Research Center Pham Ngoc Thach University of Medicine, 70000, Vietnam
| | - Thach S. Tran
- Saigon Precise Medicine Research Center, 70000, Vietnam
- School of Biomedical Engineering, University of Technology Sydney, 2007, Australia
| | - Tuan V. Nguyen
- School of Biomedical Engineering, University of Technology Sydney, 2007, Australia
| | - Lan T. Ho-Pham
- Saigon Precise Medicine Research Center, 70000, Vietnam
- Biomedicine Research Center Pham Ngoc Thach University of Medicine, 70000, Vietnam
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2
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Wáng YXJ, Diacinti D, Aparisi Gómez MP, Santiago FR, Becce F, Tagliafico AS, Prakash M, Isaac A, Dalili D, Griffith JF, Guglielmi G, Bazzocchi A. Radiological diagnosis of prevalent osteoporotic vertebral fracture on radiographs: an interim consensus from a group of experts of the ESSR osteoporosis and metabolism subcommittee. Skeletal Radiol 2024; 53:2563-2574. [PMID: 38662094 PMCID: PMC11493813 DOI: 10.1007/s00256-024-04678-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/07/2024] [Revised: 04/09/2024] [Accepted: 04/09/2024] [Indexed: 04/26/2024]
Abstract
When a low-energy trauma induces an acute vertebral fracture (VF) with clinical symptoms, a definitive diagnosis of osteoporotic vertebral fracture (OVF) can be made. Beyond that, a "gold" radiographic standard to distinguish osteoporotic from non-osteoporotic VFs does not exist. Fracture-shaped vertebral deformity (FSVD) is defined as a deformity radiographically indistinguishable from vertebral fracture according to the best of the reading radiologist's knowledge. FSVD is not uncommon among young populations with normal bone strength. FSVD among an older population is called osteoporotic-like vertebral fracture (OLVF) when the FSVD is likely to be associated with compromised bone strength. In more severe grade deformities or when a vertebra is collapsed, OVF diagnosis can be made with a relatively high degree of certainty by experienced readers. In "milder" cases, OVF is often diagnosed based on a high probability rather than an absolute diagnosis. After excluding known mimickers, singular vertebral wedging in older women is statistically most likely an OLVF. For older women, three non-adjacent minimal grade OLVF (< 20% height loss), one minimal grade OLVF and one mild OLVF (20-25% height loss), or one OLVF with ≥ 25% height loss, meet the diagnosis of osteoporosis. For older men, a single OLVF with < 40% height loss may be insufficient to suggest the subject is osteoporotic. Common OLVF differential diagnoses include X-ray projection artifacts and scoliosis, acquired and developmental short vertebrae, osteoarthritic wedging, oncological deformities, deformity due to high-energy trauma VF, lateral hyperosteogeny of a vertebral body, Cupid's bow, and expansive endplate, among others.
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Affiliation(s)
- Yì Xiáng J Wáng
- Department of Imaging and Interventional Radiology, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China.
| | - Daniele Diacinti
- Department of Radiological Sciences, Oncology and Pathology, Sapienza University of Rome, Rome, Italy
| | - Maria Pilar Aparisi Gómez
- Department of Radiology, Auckland City Hospital, Auckland District Health Board, Auckland, New Zealand
- Department of Anatomy and Medical Imaging, Faculty of Medical and Health Sciences, The University of Auckland, Auckland, New Zealand
- Department of Radiology, IMSKE, Valencia, Spain
| | - Fernando Ruiz Santiago
- Department of Radiology and Physical Medicine, Faculty of Medicine, University of Granada, Granada, Spain
- Musculoskeletal Radiology Unit, Hospital Universitario Virgen de Las Nieves, Granada, Spain
| | - Fabio Becce
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland
| | - Alberto Stefano Tagliafico
- Department of Radiology, DISSAL, University of Genova, Genoa, Italy
- Department of Radiology, Ospedale Policlinico San Martino, Genoa, Italy
| | - Mahesh Prakash
- Department of Radiodiagnosis and Imaging, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, India
| | - Amanda Isaac
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Danoob Dalili
- Academic Surgical Unit, Southwest London Elective Orthopaedic Centre (SWLEOC), Dorking Road, Epsom, London, UK
- Department of Radiology, Epsom and St Hellier University Hospitals NHS Trust, Dorking Road, Epsom, London, UK
| | - James F Griffith
- Department of Imaging and Interventional Radiology, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China
| | - Giuseppe Guglielmi
- Department of Clinical and Experimental Medicine, Foggia University School of Medicine, Foggia, Italy
- Radiology Unit, Dimiccoli Teaching Hospital Barletta, Barletta, Italy
| | - Alberto Bazzocchi
- Diagnostic and Interventional Radiology, IRCCS Istituto Ortopedico Rizzoli, Bologna, Italy
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3
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Ma D, Wang Y, Zhang X, Su D, Ma M, Qian B, Yang X, Gao J, Wu Y. 3D U-Net Neural Network Architecture-Assisted LDCT to Acquire Vertebral Morphology Parameters: A Vertebral Morphology Comprehensive Analysis in a Chinese Population. Calcif Tissue Int 2024; 115:362-372. [PMID: 39017691 DOI: 10.1007/s00223-024-01255-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Accepted: 07/01/2024] [Indexed: 07/18/2024]
Abstract
To evaluate the feasibility of acquiring vertebral height from chest low-dose computed tomography (LDCT) images using an artificial intelligence (AI) system based on 3D U-Net vertebral segmentation technology and the correlation and features of vertebral morphology with sex and age of the Chinese population. Patients who underwent chest LDCT between September 2020 and April 2023 were enrolled. The Altman and Pearson's correlation analyses were used to compare the correlation and consistency between the AI software and manual measurement of vertebral height. The anterior height (Ha), middle height (Hm), posterior height (Hp), and vertebral height ratios (VHRs) (Ha/Hp and Hm/Hp) were measured from T1 to L2 using an AI system. The VHR is the ratio of Ha to Hp or the ratio of Hm to Hp of the vertebrae, which can reflect the shape of the anterior wedge and biconcave vertebrae. Changes in these parameters, particularly the VHR, were analysed at different vertebral levels in different age and sex groups. The results of the AI methods were highly consistent and correlated with manual measurements. The Pearson's correlation coefficients were 0.855, 0.919, and 0.846, respectively. The trend of VHRs showed troughs at T7 and T11 and a peak at T9; however, Hm/Hp showed slight fluctuations. Regarding the VHR, significant sex differences were found at L1 and L2 in all age bands. This innovative study focuses on vertebral morphology for opportunistic analysis in the mainland Chinese population and the distribution tendency of vertebral morphology with ageing using a chest LDCT aided by an AI system based on 3D U-Net vertebral segmentation technology. The AI system demonstrates the potential to automatically perform opportunistic vertebral morphology analyses using LDCT scans obtained during lung cancer screening. We advocate the use of age-, sex-, and vertebral level-specific criteria for the morphometric evaluation of vertebral osteoporotic fractures for a more accurate diagnosis of vertebral fractures and spinal pathologies.
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Affiliation(s)
- Duoshan Ma
- Department of Radiology, The First Affiliated Hospital of Zhengzhou University, 1 Jianshe East Road, Zhengzhou, 450052, China
| | - Yan Wang
- Department of Radiology, The First Affiliated Hospital of Zhengzhou University, 1 Jianshe East Road, Zhengzhou, 450052, China
| | - Xinxin Zhang
- Department of Radiology, The First Affiliated Hospital of Zhengzhou University, 1 Jianshe East Road, Zhengzhou, 450052, China
| | - Danyang Su
- Department of Radiology, The First Affiliated Hospital of Zhengzhou University, 1 Jianshe East Road, Zhengzhou, 450052, China
| | - Mengze Ma
- Medical 3D Printing Center, The First Affiliated Hospital of Zhengzhou University, 1 Jianshe East Road, Zhengzhou, 450052, China
| | - Baoxin Qian
- Dongsheng Science and Technology Park, Room A206, B2, Huiying Medical Technology Co, Ltd, HaiDian District, Beijing City, 100192, China
| | - Xiaopeng Yang
- Medical 3D Printing Center, The First Affiliated Hospital of Zhengzhou University, 1 Jianshe East Road, Zhengzhou, 450052, China
| | - Jianbo Gao
- Department of Radiology, The First Affiliated Hospital of Zhengzhou University, 1 Jianshe East Road, Zhengzhou, 450052, China
| | - Yan Wu
- Medical 3D Printing Center, The First Affiliated Hospital of Zhengzhou University, 1 Jianshe East Road, Zhengzhou, 450052, China.
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Johansson L, Litsne H, Axelsson KF, Lorentzon M. High physical activity is associated with greater cortical bone size, better physical function, and with lower risk of incident fractures independently of clinical risk factors in older women from the SUPERB study. J Bone Miner Res 2024; 39:1284-1295. [PMID: 38995943 PMCID: PMC11371905 DOI: 10.1093/jbmr/zjae114] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Revised: 03/07/2024] [Accepted: 04/02/2024] [Indexed: 07/14/2024]
Abstract
The Physical Activity Scale for the Elderly (PASE) is a validated test to assess physical activity in older people. It has not been investigated if physical activity, according to PASE, is associated with fracture risk independently from the clinical risk factors (CRFs) in FRAX, bone mineral density (BMD), comorbidity, and if such an association is due to differences in physical performance or bone parameters. The purpose of this study was to evaluate if PASE score is associated with bone characteristics, physical function, and independently predicts incident fracture in 3014 75-80-yr-old women from the population-based cross-sectional SUPERB study. At baseline, participants answered questionnaires and underwent physical function tests, detailed bone phenotyping with DXA, and high-resolution peripheral quantitative CT. Incident fractures were X-ray verified. Cox regression models were used to assess the association between PASE score and incident fractures, with adjustments for CRFs, femoral neck (FN) BMD, and Charlson comorbidity index. Women were divided into quartiles according to PASE score. Quartile differences in bone parameters (1.56% for cortical volumetric BMD and 4.08% for cortical area, Q4 vs Q1, p = .007 and p = .022, respectively) were smaller than quartile differences in physical performance (27% shorter timed up and go test, 52% longer one leg standing time, Q4 vs Q1). During 8 yr (median, range 0.20-9.9) of follow-up, 1077 women had any fracture, 806 a major osteoporotic fracture (MOF; spine, hip, forearm, humerus), and 236 a hip fracture. Women in Q4 vs. Q1 had 30% lower risk of any fracture, 32% lower risk of MOF, and 54% lower risk of hip fracture. These associations remained in fully adjusted models. In conclusion, high physical activity was associated with substantially better physical function and a lower risk of any fracture, MOF and hip fracture, independently of risk factors used in FRAX, FN BMD, and comorbidity.
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Affiliation(s)
- Lisa Johansson
- Sahlgrenska Osteoporosis Centre, Institute of Medicine, University of Gothenburg, 431 80 Mölndal, Sweden
- Region Västra Götaland, Department of Orthopedics, Sahlgrenska University Hospital, 431 80 Mölndal, Sweden
| | - Henrik Litsne
- Sahlgrenska Osteoporosis Centre, Institute of Medicine, University of Gothenburg, 431 80 Mölndal, Sweden
| | - Kristian F Axelsson
- Sahlgrenska Osteoporosis Centre, Institute of Medicine, University of Gothenburg, 431 80 Mölndal, Sweden
- Region Västra Götaland, Närhälsan Norrmalm Health Centre, 549 40 Skövde, Sweden
| | - Mattias Lorentzon
- Sahlgrenska Osteoporosis Centre, Institute of Medicine, University of Gothenburg, 431 80 Mölndal, Sweden
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Victoria 3065, Australia
- Geriatric Medicine, Institute of Medicine, Sahlgrenska Academy, Sahlgrenska University Hospital, 431 80 Mölndal, Sweden
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5
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Wiklund P, Buchebner D, Geijer M. Vertebral compression fractures at abdominal CT: underdiagnosis, undertreatment, and evaluation of an AI algorithm. J Bone Miner Res 2024; 39:1113-1119. [PMID: 38900913 DOI: 10.1093/jbmr/zjae096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Revised: 06/05/2024] [Accepted: 06/12/2024] [Indexed: 06/22/2024]
Abstract
Vertebral compression fractures (VCFs) are common and indicate a high future risk of additional osteoporotic fractures. However, many VCFs are unreported by radiologists, and even if reported, many patients do not receive treatment. The purpose of the study was to evaluate a new artificial intelligence (AI) algorithm for the detection of VCFs and to assess the prevalence of reported and unreported VCFs. This retrospective cohort study included patients over age 60 yr with an abdominal CT between January 18, 2019 and January 18, 2020. Images and radiology reports were reviewed to identify reported and unreported VCFs, and the images were processed by an AI algorithm. For reported VCFs, the electronic health records were reviewed regarding subsequent osteoporosis screening and treatment. Totally, 1112 patients were included. Of these, 187 patients (16.8%) had a VCF, of which 62 had an incident VCF and 49 had a previously unknown prevalent VCF. The radiologist reporting rate of these VCFs was 30% (33/111). For moderate and severe (grade 2-3) VCF, the AI algorithm had 85.2% sensitivity, 92.3% specificity, 57.8% positive predictive value, and 98.1% negative predictive value. Three of 30 patients with reported VCFs started osteoporosis treatment within a year. The AI algorithm had high accuracy for the detection of VCFs and could be very useful in increasing the detection rate of VCFs, as there was a substantial underdiagnosis of VCFs. However, as undertreatment in reported cases was substantial, to fully realize the potential of AI, changes to the management pathway outside of the radiology department are imperative.
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Affiliation(s)
- Peder Wiklund
- Department of Radiology, Region Halland, 30185 Halmstad, Sweden
| | - David Buchebner
- Department of Internal Medicine, Halland Hospital Halmstad, 30185 Halmstad, Sweden
| | - Mats Geijer
- Department of Radiology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, 41345 Gothenburg, Sweden
- Department of Radiology, Sahlgrenska University Hospital, 41345 Gothenburg, Sweden
- Department of Clinical Sciences, Lund University, Lund, Sweden
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6
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Schousboe JT, Lewis JR, Monchka BA, Reid SB, Davidson MJ, Kimelman D, Jozani MJ, Smith C, Sim M, Gilani SZ, Suter D, Leslie WD. Simultaneous automated ascertainment of prevalent vertebral fracture and abdominal aortic calcification in clinical practice: role in fracture risk assessment. J Bone Miner Res 2024; 39:898-905. [PMID: 38699950 DOI: 10.1093/jbmr/zjae066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2024] [Revised: 04/08/2024] [Accepted: 05/01/2024] [Indexed: 05/05/2024]
Abstract
Whether simultaneous automated ascertainments of prevalent vertebral fracture (auto-PVFx) and abdominal aortic calcification (auto-AAC) on vertebral fracture assessment (VFA) lateral spine bone density (BMD) images jointly predict incident fractures in routine clinical practice is unclear. We estimated the independent associations of auto-PVFx and auto-AAC primarily with incident major osteoporotic and secondarily with incident hip and any clinical fractures in 11 013 individuals (mean [SD] age 75.8 [6.8] years, 93.3% female) who had a BMD test combined with VFA between March 2010 and December 2017. Auto-PVFx and auto-AAC were ascertained using convolutional neural networks (CNNs). Proportional hazards models were used to estimate the associations of auto-PVFx and auto-AAC with incident fractures over a mean (SD) follow-up of 3.7 (2.2) years, adjusted for each other and other risk factors. At baseline, 17% (n = 1881) had auto-PVFx and 27% (n = 2974) had a high level of auto-AAC (≥ 6 on scale of 0 to 24). Multivariable-adjusted hazard ratios (HR) for incident major osteoporotic fracture (95% CI) were 1.85 (1.59, 2.15) for those with compared with those without auto-PVFx, and 1.36 (1.14, 1.62) for those with high compared with low auto-AAC. The multivariable-adjusted HRs for incident hip fracture were 1.62 (95% CI, 1.26 to 2.07) for those with compared to those without auto-PVFx, and 1.55 (95% CI, 1.15 to 2.09) for those high auto-AAC compared with low auto-AAC. The 5-year cumulative incidence of major osteoporotic fracture was 7.1% in those with no auto-PVFx and low auto-AAC, 10.1% in those with no auto-PVFx and high auto-AAC, 13.4% in those with auto-PVFx and low auto-AAC, and 18.0% in those with auto-PVFx and high auto-AAC. While physician manual review of images in clinical practice will still be needed to confirm image quality and provide clinical context for interpretation, simultaneous automated ascertainment of auto-PVFx and auto-AAC can aid fracture risk assessment.
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Affiliation(s)
- John T Schousboe
- Department of Rheumatology, Park Nicollet Clinic and HealthPartners Institute, Minneapolis MN 55416, United States
- Division of Health Policy and Management, University of Minnesota, Minneapolis, MN 55455, United States
| | - Joshua R Lewis
- Nutrition & Health Innovation Research Institute, Edith Cowan University, Joondalup 6027, Australia
- Medical School, University of Western Australia, Perth 6009, Australia
- Centre for Kidney Research, School of Public Health, The University of Sydney, Sydney 2006, Australia
| | - Barret A Monchka
- George & Fay Yee Centre for Healthcare Innovation, University of Manitoba, Winnipeg R3T 2N2, Canada
| | - Siobhan B Reid
- Department of Computer Science, Concordia University, Montreal H4B 1R6, Canada
| | - Michael J Davidson
- Department of Medicine, University of Manitoba, Winnipeg R3T 2N2, Canada
| | - Douglas Kimelman
- Department of Medicine, University of Manitoba, Winnipeg R3T 2N2, Canada
| | | | - Cassandra Smith
- Nutrition & Health Innovation Research Institute, Edith Cowan University, Joondalup 6027, Australia
- Medical School, University of Western Australia, Perth 6009, Australia
| | - Marc Sim
- Nutrition & Health Innovation Research Institute, Edith Cowan University, Joondalup 6027, Australia
- Medical School, University of Western Australia, Perth 6009, Australia
| | - Syed Zulqarnain Gilani
- Nutrition & Health Innovation Research Institute, Edith Cowan University, Joondalup 6027, Australia
- Centre for AI & ML, School of Science, Edith Cowan University, Joondalup 6027, Australia
- Department of Computer Science and Software Engineering, University of Western Australia, Perth 6009, Australia
| | - David Suter
- Nutrition & Health Innovation Research Institute, Edith Cowan University, Joondalup 6027, Australia
| | - William D Leslie
- Department of Medicine, University of Manitoba, Winnipeg R3T 2N2, Canada
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7
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Birtolo MF, Pedersini R, Palermo A, Vena W, Morenghi E, Cristofolini G, Presciuttini B, Tabacco G, Naciu AM, Pigni S, Laganà M, Mazzoleni F, Cosentini D, Ciafardini A, Pagani M, Farina D, Balzarini L, Zambelli A, Torrisi R, Cianferotti L, Napoli N, Bossi AC, Lania AG, Berruti A, Mazziotti G. Bone-active drugs in premenopausal women with breast cancer under hormone-deprivation therapies. Eur J Endocrinol 2024; 191:117-125. [PMID: 39056237 DOI: 10.1093/ejendo/lvae086] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/27/2024] [Revised: 06/04/2024] [Accepted: 07/25/2024] [Indexed: 07/28/2024]
Abstract
BACKGROUND Bone health management in premenopausal women with breast cancer (BC) under hormone-deprivation therapies (HDTs) is often challenging, and the effectiveness of bone-active drugs is still unknown. METHODS This retrospective multicenter study included 306 premenopausal women with early BC undergoing HDTs. Bone mineral density (BMD) and morphometric vertebral fractures (VFs) were assessed 12 months after HDT initiation and then after at least 24 months. RESULTS After initial assessment, bone-active drugs were prescribed in 77.5% of women (151 denosumab 60 mg/6 months, 86 bisphosphonates). After 47.0 ± 20.1 months, new VFs were found in 16 women (5.2%). Vertebral fracture risk was significantly associated with obesity (odds ratio [OR] 3.87, P = .028), family history of hip fractures or VFs (OR 3.21, P = .040], chemotherapy-induced menopause (OR 6.48, P < .001), preexisting VFs (OR 25.36, P < .001), baseline T-score less than or equal to -2.5 standard deviation (SD) at any skeletal site (OR 4.14, P = .036), and changes at lumbar and total hip BMD (OR 0.94, P = .038 and OR 0.88, P < .001, respectively). New VFs occurred more frequently in women untreated compared to those treated with bone-active drugs (14/69, 20.8% vs 2/237, 0.8%; P < .001) and the anti-fracture effectiveness remained significant after correction for BMI (OR 0.03; P < .001), family history of fractures (OR 0.03; P < .001), chemotherapy-induced menopause (OR 0.04; P < .001), and preexisting VFs (OR 0.01; P < .001). CONCLUSIONS Premenopausal women under HDTs are at high risk of VFs in relationship with high BMI, densitometric diagnosis of osteoporosis, preexisting VFs, and family history of osteoporotic fractures. Vertebral fractures in this setting might be effectively prevented by bisphosphonates or denosumab.
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Affiliation(s)
- Maria Francesca Birtolo
- Department of Biomedical Sciences, Humanitas University, 20090 Pieve Emanuele-Milan, Italy
- Endocrinology, Diabetology and Medical Andrology Unit, IRCCS Humanitas Research Hospital, 20089 Rozzano-Milan, Italy
| | - Rebecca Pedersini
- Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, Medical Oncology, University of Brescia, ASST Spedali Civili, 25123 Brescia, Italy
| | - Andrea Palermo
- Unit of Metabolic Bone and Thyroid Diseases, Fondazione Policlinico Universitario Campus Bio-Medico, 00128 Rome, Italy
- Unit of Endocrinology and Diabetes, Department of Medicine, University Campus Bio-Medico di Roma, 00128 Rome, Italy
| | - Walter Vena
- Department of Biomedical Sciences, Humanitas University, 20090 Pieve Emanuele-Milan, Italy
- Diabetology and Endocrinology, Humanitas Gavazzeni, 24125 Bergamo, Italy
| | - Emanuela Morenghi
- Department of Biomedical Sciences, Humanitas University, 20090 Pieve Emanuele-Milan, Italy
- Biostatistics Unit, IRCCS Humanitas Research Hospital, 20089 Rozzano-Milan, Italy
| | - Giacomo Cristofolini
- Department of Biomedical Sciences, Humanitas University, 20090 Pieve Emanuele-Milan, Italy
- Endocrinology, Diabetology and Medical Andrology Unit, IRCCS Humanitas Research Hospital, 20089 Rozzano-Milan, Italy
| | - Barbara Presciuttini
- Endocrinology Unit, Department of Medicine, ASST Carlo Poma, 46100 Mantua, Italy
| | - Gaia Tabacco
- Unit of Metabolic Bone and Thyroid Diseases, Fondazione Policlinico Universitario Campus Bio-Medico, 00128 Rome, Italy
| | - Anda Mihaela Naciu
- Unit of Metabolic Bone and Thyroid Diseases, Fondazione Policlinico Universitario Campus Bio-Medico, 00128 Rome, Italy
| | - Stella Pigni
- Department of Biomedical Sciences, Humanitas University, 20090 Pieve Emanuele-Milan, Italy
- Endocrinology, Diabetology and Medical Andrology Unit, IRCCS Humanitas Research Hospital, 20089 Rozzano-Milan, Italy
| | - Marta Laganà
- Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, Medical Oncology, University of Brescia, ASST Spedali Civili, 25123 Brescia, Italy
| | - Federica Mazzoleni
- Unit of Endocrinology and Diabetes, Department of Medicine, University Campus Bio-Medico di Roma, 00128 Rome, Italy
| | - Deborah Cosentini
- Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, Medical Oncology, University of Brescia, ASST Spedali Civili, 25123 Brescia, Italy
| | - Antea Ciafardini
- Department of Biomedical Sciences, Humanitas University, 20090 Pieve Emanuele-Milan, Italy
- Endocrinology, Diabetology and Medical Andrology Unit, IRCCS Humanitas Research Hospital, 20089 Rozzano-Milan, Italy
| | - Mauro Pagani
- Endocrinology Unit, Department of Medicine, ASST Carlo Poma, 46100 Mantua, Italy
| | - Davide Farina
- Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, Radiology, University of Brescia, ASST Spedali Civili, 25123 Brescia, Italy
| | - Luca Balzarini
- Department of Radiology, IRCCS Humanitas Research Hospital, 20089 Rozzano-Milan, Italy
| | - Alberto Zambelli
- Department of Biomedical Sciences, Humanitas University, 20090 Pieve Emanuele-Milan, Italy
- Cancer Center, IRCCS Humanitas Research Hospital, 20089 Rozzano-Milan, Italy
| | - Rosalba Torrisi
- Cancer Center, IRCCS Humanitas Research Hospital, 20089 Rozzano-Milan, Italy
| | - Luisella Cianferotti
- Department of Experimental and Clinical Biomedical Sciences "Mario Serio", University of Florence, 50134 Florence, Italy
| | - Nicola Napoli
- Unit of Metabolic Bone and Thyroid Diseases, Fondazione Policlinico Universitario Campus Bio-Medico, 00128 Rome, Italy
- Unit of Endocrinology and Diabetes, Department of Medicine, University Campus Bio-Medico di Roma, 00128 Rome, Italy
- Division of Bone and Mineral Diseases, Washington University in St Louis, St Louis, MO 63130, United States
| | - Antonio Carlo Bossi
- Unit of Endocrinology and Diabetes, Department of Medicine, University Campus Bio-Medico di Roma, 00128 Rome, Italy
| | - Andrea Gerardo Lania
- Department of Biomedical Sciences, Humanitas University, 20090 Pieve Emanuele-Milan, Italy
- Endocrinology, Diabetology and Medical Andrology Unit, IRCCS Humanitas Research Hospital, 20089 Rozzano-Milan, Italy
| | - Alfredo Berruti
- Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, Medical Oncology, University of Brescia, ASST Spedali Civili, 25123 Brescia, Italy
| | - Gherardo Mazziotti
- Department of Biomedical Sciences, Humanitas University, 20090 Pieve Emanuele-Milan, Italy
- Endocrinology, Diabetology and Medical Andrology Unit, IRCCS Humanitas Research Hospital, 20089 Rozzano-Milan, Italy
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8
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Ma D, Wang Y, Zhang X, Su D, Wang C, Liu H, Yang X, Gao J, Wu Y. Differences in Vertebral Morphology and bone Mineral Density between Grade 1 Vertebral Fracture and Non-Fractured Participants in the Chinese Population. Calcif Tissue Int 2024; 114:397-408. [PMID: 38483546 DOI: 10.1007/s00223-024-01185-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Accepted: 01/12/2024] [Indexed: 03/22/2024]
Abstract
PURPOSE To investigate the difference in vertebral morphology and bone mineral density (BMD) between grade 1 VFs and non-fractured participants in the Chinese population to shed light on the clinical significance of grade 1 VFs from various perspectives. METHODS This retrospective cohort study included patients who received a chest low-dose computed tomography (LDCT) scan for health examination and visited the First Affiliated Hospital of Zhengzhou University, Henan, China, from October 2019 to August 2022. Data were analyzed from March 2023 to July 2023. The main outcome of this study was the difference in morphological parameters and BMD between grade 1 VFs and non-fractured participants. The prevalence of grade 1 VFs in China populations was calculated. The difference in BMD of three fracture types in the Grade 1 group was also evaluated. RESULTS A total of 3652 participants (1799 males, 54.85 ± 9.02 years, range, 40-92 years; 1853 females, 56.00 ± 9.08 years, range, 40-93 years) were included. The prevalence of grade 2 and 3 increase with age. The prevalence of grade 1 VFs gradually increases ≤ 50y to 60-69y group, but there is a decrease in the ≥ 70 years male group (6.6%) and a rise in the female group (25.5%). There was no significant statistical difference observed in vertebral shape indices (VSI) and BMD between the Grade 1 group and the no-fractured group aged < 50 years old except the wedge index in male. The biconcavity index did not differ between the non-fractured group and the Grade 1 group in men aged 50-59 years, whereas a significant statistical difference was observed in women. Additionally, the results of BMD were consistent with these findings. For the 40-59 years age group, there were significant differences between the compression deformity group and the other groups. CONCLUSIONS The grade 1 group had higher VSI and lower BMD than the non-fractured group, suggesting an association between the Grade 1 group and osteoporosis in individuals aged over 50 for women and over 60 for men. Different fracture types have significant variations in BMD among middle-aged people. The prevalence of grade 1 VFs exhibits an age-related increase in both genders, with opposite trends observed between older males and females. We suggested VSI can aid physicians in the diagnosis of grade 1 VFs.
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Affiliation(s)
- Duoshan Ma
- Department of Radiology, The First Affiliated Hospital of Zhengzhou University, 1 Jianshe East Road, Zhengzhou, 450052, China
| | - Yan Wang
- Department of Radiology, The First Affiliated Hospital of Zhengzhou University, 1 Jianshe East Road, Zhengzhou, 450052, China
| | - Xinxin Zhang
- Department of Radiology, The First Affiliated Hospital of Zhengzhou University, 1 Jianshe East Road, Zhengzhou, 450052, China
| | - Danyang Su
- Department of Radiology, The First Affiliated Hospital of Zhengzhou University, 1 Jianshe East Road, Zhengzhou, 450052, China
| | - Chunyu Wang
- Medical 3D Printing Center, The First Affiliated Hospital of Zhengzhou University, 1 Jianshe East Road, Zhengzhou, 450052, China
| | - Huilong Liu
- Medical 3D Printing Center, The First Affiliated Hospital of Zhengzhou University, 1 Jianshe East Road, Zhengzhou, 450052, China
| | - Xiaopeng Yang
- Medical 3D Printing Center, The First Affiliated Hospital of Zhengzhou University, 1 Jianshe East Road, Zhengzhou, 450052, China
| | - Jianbo Gao
- Department of Radiology, The First Affiliated Hospital of Zhengzhou University, 1 Jianshe East Road, Zhengzhou, 450052, China
| | - Yan Wu
- Medical 3D Printing Center, The First Affiliated Hospital of Zhengzhou University, 1 Jianshe East Road, Zhengzhou, 450052, China.
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9
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Slutzky-Shraga I, Hirsch D, Gorshtein A, Masri-Iraqi H, Shochat T, Robenshtok E, Shimon I, Tsvetov G. Features of patients and fracture risk in hypoparathyroidism; a single center study. J Endocrinol Invest 2024; 47:593-601. [PMID: 37610611 DOI: 10.1007/s40618-023-02177-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/09/2023] [Accepted: 08/16/2023] [Indexed: 08/24/2023]
Abstract
PURPOSE Patients with hypoparathyroidism (hypoPT) have low bone turnover and high bone mineral density (BMD). However, data on fracture risk are conflicting. The objectives of this study were: 1. To describe clinical/biochemical characteristics of hypoPT patients followed at a single medical center. 2. To identify postsurgical hypoPT patients and investigate their fracture rate compared with gender/age-matched post-surgical normocalcemic patients. METHODS Retrospective analysis of patient's medical records treated at the tertiary medical center in 2010-2021 identified by computerized medical database search. RESULTS The cohort included 133 patients (91% women, mean age 64 ± 13 years) of whom 105 (79%) had post-thyroidectomy hypoparathyroidism and the remainder had an autoimmune/idiopathic/other etiology. Mean follow-up time was 21 ± 12 and 27 ± 12 years, respectively. The control group included 142 post-thyroidectomy patients without hypoparathyroidism. Patients in the postsurgical hypoparathyroidism group were older and had higher calcium and PTH levels at diagnosis than the non-surgical hypoPT patients. Comparing the postsurgical hypoPT and postsurgical normocalcemic control patients revealed a significantly higher BMD in the hypoPT group. Yet, fracture rates were 31% in the postsurgical hypoparathyroidism group and 21% in the control group (P = 0.1) over a similar median follow-up period (17 and 18.4 years, respectively). In both groups the most common fracture site was the spine (50% and 70%, respectively; p = 0.33), mainly nonclinical morphometric fractures. Higher phosphorus blood level was associated with increased fracture risk. CONCLUSIONS The relatively high BMD in patients with postsurgical hypoparathyroidism is not associated with lower fracture risk. Silent morphometric fractures are quite common in this group of patients.
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Affiliation(s)
- I Slutzky-Shraga
- Institute of Endocrinology, Diabetes and Metabolism, Rabin Medical Center - Beilinson Hospital, Petach Tikva, Israel.
- Clalit Healthcare Services, Yaffo District, Tel Aviv, Israel.
- Department of Endocrinology, Diabetes & Metabolism, Rabin Medical Center - Beilinson Hospital, 39 Jabotinski St., 4941492, Petach Tikva, Israel.
| | - D Hirsch
- Institute of Endocrinology, Diabetes and Metabolism, Rabin Medical Center - Beilinson Hospital, Petach Tikva, Israel
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - A Gorshtein
- Institute of Endocrinology, Diabetes and Metabolism, Rabin Medical Center - Beilinson Hospital, Petach Tikva, Israel
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - H Masri-Iraqi
- Institute of Endocrinology, Diabetes and Metabolism, Rabin Medical Center - Beilinson Hospital, Petach Tikva, Israel
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - T Shochat
- Statistical Consulting Unit, Rabin Medical Center - Beilinson Hospital, Petach Tikva, Israel
| | - E Robenshtok
- Institute of Endocrinology, Diabetes and Metabolism, Rabin Medical Center - Beilinson Hospital, Petach Tikva, Israel
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - I Shimon
- Institute of Endocrinology, Diabetes and Metabolism, Rabin Medical Center - Beilinson Hospital, Petach Tikva, Israel
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - G Tsvetov
- Institute of Endocrinology, Diabetes and Metabolism, Rabin Medical Center - Beilinson Hospital, Petach Tikva, Israel
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
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10
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de Holanda NCP, Silva TIAR, Cavalcante AG, Lacerda MB, de Oliveira Viena G, de Carvalho CC, Menezes KT, de Medeiros IRN, Sales MM, E Silva de Queiroz FR, de Arruda Castelo Branco Brito CG, Bandeira F. Prevalence of Morphometric Vertebral Fractures After Bariatric Surgery and Its Relationship with Bone Mineral Density and Bone Markers. Obes Surg 2024; 34:733-740. [PMID: 38285298 DOI: 10.1007/s11695-023-07049-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 12/29/2023] [Accepted: 12/29/2023] [Indexed: 01/30/2024]
Abstract
BACKGROUND Bariatric surgery (BS) can lead to bone loss and an increased fracture risk. METHODS To determine the morphometric vertebral fracture (MVF) prevalence, and its relationship with bone mineral density (BMD), and biomarker's turnover after Roux-en-Y gastric bypass (RYGB) and sleeve gastrectomy (SG), we analyzed post-surgery X-rays of the spine in 80 patients (88% female, 51% RYGB, age 41.2 [6.8] years) from 117 participants' retrospective cohort (1-2 years, >2 and <5 years, and >5 years). We still analyzed body composition and BMD by dual-energy X-ray absorptiometry and bone parameters. RESULTS MVF prevalence was 17.5% (14/80), with no statistical difference between groups (p = 0.210). RYGB group had a higher prevalence of secondary hyperparathyroidism (SHPT) (PTH ≥ 65 pg/ml; 18.4% vs 7.8%, respectively, p = 0.04), PTH (61.3 vs 49.5 pg/ml, p = 0.001), CTX (0.766 [0.29] ng/ml vs 0.453 [0.30] ng/ml, p = 0.037), and AP (101.3 [62.4] U/L vs 123.9 [60.9] U/L, p = 0.027) than the SG group. Up to 5 years postoperatively, RYGB had a lower total (1.200 [0.087] vs 1.236 [0.100] g/cm2, p = 0.02), femoral neck (1.034 [0.110] vs 1.267 [0.105], p = 0.005), and total femur BMD (1.256 [0.155] vs 1.323 [0.167], p = 0.002) than SG group. We found no statistically significant difference between the MFV (+) and MVF (-) groups regarding age, sex, BMI, surgery time, BMD, or bone and metabolic parameters, including leptin. CONCLUSION We found a high prevalence of MVF after BS with no differences between RYGB and SG.
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Affiliation(s)
- Narriane Chaves Pereira de Holanda
- Department of Endocrinology, Federal University of Paraiba, Joao Pessoa, Brazil.
- Post-Graduation Program in Health Science, University of Pernambuco Medical School, Recife, Brazil.
| | | | | | | | | | | | | | | | | | | | | | - Francisco Bandeira
- Post-Graduation Program in Health Science, University of Pernambuco Medical School, Recife, Brazil
- Division of Endocrinology and Diabetes, Agamenon Magalhães Hospital, University of Pernambuco Medical School, Recife, Brazil
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11
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Jaiswal R, Johansson H, Axelsson KF, Magnusson P, Harvey NC, Vandenput L, McCloskey E, Kanis JA, Litsne H, Johansson L, Lorentzon M. Hemoglobin Levels Improve Fracture Risk Prediction in Addition to FRAX Clinical Risk Factors and Bone Mineral Density. J Clin Endocrinol Metab 2023; 108:e1479-e1488. [PMID: 37406247 PMCID: PMC10655535 DOI: 10.1210/clinem/dgad399] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/08/2023] [Revised: 06/26/2023] [Accepted: 07/03/2023] [Indexed: 07/07/2023]
Abstract
CONTEXT Anemia and decreasing levels of hemoglobin (Hb) have previously been linked to increased fracture risk, but the added value to FRAX, the most utilized fracture prediction tool worldwide, is unknown. OBJECTIVE To investigate the association between anemia, Hb levels, bone microstructure, and risk of incident fracture and to evaluate whether Hb levels improve fracture risk prediction in addition to FRAX clinical risk factors (CRFs). METHODS A total of 2778 community-dwelling women, aged 75-80 years, and part of a prospective population-based cohort study in Sweden were included. At baseline, information on anthropometrics, CRFs, and falls was gathered, blood samples were collected, and skeletal characteristics were investigated using dual-energy x-ray absorptiometry and high-resolution peripheral quantitative computed tomography. At the end of follow-up, incident fractures were retrieved from a regional x-ray archive. RESULTS The median follow-up time was 6.4 years. Low Hb was associated with worse total hip and femoral neck bone mineral density (BMD), and lower tibia cortical and total volumetric BMD, and anemia was associated with increased risk of major osteoporotic fracture (MOF; hazard ratio 2.04; 95% CI 1.58-2.64). Similar results were obtained for hip fracture and any fracture, also when adjusting for CRFs. The ratio between 10-year fracture probabilities of MOF assessed in models with Hb levels included and not included ranged from 1.2 to 0.7 at the 10th and 90th percentile of Hb, respectively. CONCLUSION Anemia and decreasing levels of Hb are associated with lower cortical BMD and incident fracture in older women. Considering Hb levels may improve the clinical evaluation of patients with osteoporosis and the assessment of fracture risk.
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Affiliation(s)
- Raju Jaiswal
- Sahlgrenska Osteoporosis Centre, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, University of Gothenburg, 413 45 Gothenburg, Sweden
| | - Helena Johansson
- Sahlgrenska Osteoporosis Centre, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, University of Gothenburg, 413 45 Gothenburg, Sweden
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, VIC, 3000, Australia
| | - Kristian F Axelsson
- Sahlgrenska Osteoporosis Centre, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, University of Gothenburg, 413 45 Gothenburg, Sweden
- Region Västra Götaland, Närhälsan Norrmalm, Health Centre, 549 40 Skövde, Sweden
| | - Per Magnusson
- Department of Clinical Chemistry, and Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
| | - 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
| | - Liesbeth Vandenput
- Sahlgrenska Osteoporosis Centre, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, University of Gothenburg, 413 45 Gothenburg, Sweden
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, VIC, 3000, Australia
| | - Eugene 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
| | - John A Kanis
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, VIC, 3000, Australia
- Centre for Metabolic Bone Diseases, University of Sheffield Medical School, Sheffield, UK
| | - Henrik Litsne
- Sahlgrenska Osteoporosis Centre, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, University of Gothenburg, 413 45 Gothenburg, Sweden
| | - Lisa Johansson
- Sahlgrenska Osteoporosis Centre, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, University of Gothenburg, 413 45 Gothenburg, Sweden
- Region Västra Götaland, Department of Orthopedics, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Mattias Lorentzon
- Sahlgrenska Osteoporosis Centre, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, University of Gothenburg, 413 45 Gothenburg, Sweden
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, VIC, 3000, Australia
- Region Västra Götaland, Department of Geriatric Medicine, Sahlgrenska University Hospital, Mölndal, Sweden
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12
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Lee JH, Lee H, Gong HS. Spinal Sagittal Imbalance is Associated with Vertebral Fracture without a Definite History of Falls: Cross-Sectional, Comparative Study of Cohort with and without a Distal Radius Fracture. J Bone Metab 2023; 30:339-346. [PMID: 38073267 PMCID: PMC10721377 DOI: 10.11005/jbm.2023.30.4.339] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Revised: 10/11/2023] [Accepted: 10/18/2023] [Indexed: 12/17/2023] Open
Abstract
BACKGROUND Treating osteoporosis in patients with a distal radius fracture (DRF) became paramount at the Fracture Liaison Service. Spinal sagittal imbalance emerged as a risk factor for subsequent fractures. Therefore, here we investigated the spinal profile of patients with DRF to investigate its association with a history of falls and prevalent vertebral fractures. METHODS We reviewed the cases of 162 women presenting with DRF and 162 age-matched women without fracture who underwent an osteoporosis evaluation including bone mineral density (BMD) and lateral spine imaging. We compared the incidence of prevalent vertebral fracture and sagittal vertical axis (SVA) to measure spinal sagittal imbalance. We also performed a regression analysis of the risks of prevalent vertebral fracture, such as age, body mass index (BMI), BMD, and SVA. RESULTS The SVA was significantly smaller (indicating more stable sagittal balance) in patients with a DRF versus controls (16 mm vs. 34 mm, respectively; p<0.001). The incidence of a prevalent vertebral fracture was similar between groups (12% vs. 15%, respectively; p=0.332). In both groups, the SVA was significantly greater in those with versus without a vertebral fracture. The vertebral fracture was significantly associated with age and SVA but not BMI or spinal BMD. CONCLUSIONS Spinal sagittal balance was superior in DRF patients, yet the frequency of prevalent vertebral fractures was similar. The identification of this unique spinal profile in patients with DRF may increase our understanding of osteoporotic fractures.
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Affiliation(s)
- Jeong Hyun Lee
- Department of Orthopedic Surgery, Seoul National University College of Medicine, Seoul,
Korea
- Department of Orthopedic Surgery, Armed Forces Capital Hospital, Seoul,
Korea
| | - Hansang Lee
- Department of Orthopedic Surgery, Seoul National University Bundang Hospital, Seongnam,
Korea
| | - Hyun Sik Gong
- Department of Orthopedic Surgery, Seoul National University College of Medicine, Seoul,
Korea
- Department of Orthopedic Surgery, Seoul National University Bundang Hospital, Seongnam,
Korea
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13
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Skjødt MK, Abrahamsen B. New Insights in the Pathophysiology, Epidemiology, and Response to Treatment of Osteoporotic Vertebral Fractures. J Clin Endocrinol Metab 2023; 108:e1175-e1185. [PMID: 37186550 DOI: 10.1210/clinem/dgad256] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Revised: 03/27/2023] [Accepted: 05/02/2023] [Indexed: 05/17/2023]
Abstract
CONTEXT Vertebral fractures (VFs) make up an important but challenging group of fractures often caused by osteoporosis. Osteoporotic fractures pose unique diagnostic challenges in generally requiring imaging for diagnosis. The objective of this narrative mini-review is to provide an overview of these recent advances in our knowledge of VF pathophysiology and epidemiology with particular focus on endocrine diseases, prevention, and treatment. EVIDENCE ACQUISITION We searched PubMed on May 23, 2022, for studies of VFs in humans. Results were limited to papers available as full-text publications in English, published from 2020 and onward. This yielded 3457 citations. This was supplemented by earlier publications selected to add context to the recent findings. EVIDENCE SYNTHESIS Studies addressed VF risk in hyperthyreosis, hyperparathyroidism, acromegaly, Cushing syndrome, primary aldosteronism, and diabetes. For pharmaceutical treatment, new studies or analyses were identified for romosozumab and for weekly teriparatide. Several studies, including studies in the immediate pipeline, were intervention studies with vertebroplasty or kyphoplasty, including combination with stem cells or pharmaceuticals. CONCLUSIONS Endocrinologists should be aware of the high likelihood of osteoporotic VFs in patients with endocrine diseases. Though licensed treatments are able to substantially reduce the occurrence of VFs in patients with osteoporosis, the vast majority of recent or ongoing randomized controlled trials in the VF area focus on advanced invasive therapy of the fracture itself.
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Affiliation(s)
- Michael Kriegbaum Skjødt
- Department of Medicine 1, Holbæk Hospital, DK-4300 Holbæk, Denmark
- OPEN-Open Patient Data Explorative Network, Department of Clinical Research, University of Southern Denmark and Odense University Hospital, DK-5000 Odense, Denmark
| | - Bo Abrahamsen
- Department of Medicine 1, Holbæk Hospital, DK-4300 Holbæk, Denmark
- OPEN-Open Patient Data Explorative Network, Department of Clinical Research, University of Southern Denmark and Odense University Hospital, DK-5000 Odense, Denmark
- NDORMS, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, Oxford University Hospitals, Oxford OX3 7LD, UK
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14
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Han CS, Hancock MJ, Downie A, Jarvik JG, Koes BW, Machado GC, Verhagen AP, Williams CM, Chen Q, Maher CG. Red flags to screen for vertebral fracture in people presenting with low back pain. Cochrane Database Syst Rev 2023; 8:CD014461. [PMID: 37615643 PMCID: PMC10448864 DOI: 10.1002/14651858.cd014461.pub2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/25/2023]
Abstract
BACKGROUND Low back pain is a common presentation across different healthcare settings. Clinicians need to confidently be able to screen and identify people presenting with low back pain with a high suspicion of serious or specific pathology (e.g. vertebral fracture). Patients identified with an increased likelihood of having a serious pathology will likely require additional investigations and specific treatment. Guidelines recommend a thorough history and clinical assessment to screen for serious pathology as a cause of low back pain. However, the diagnostic accuracy of recommended red flags (e.g. older age, trauma, corticosteroid use) remains unclear, particularly those used to screen for vertebral fracture. OBJECTIVES To assess the diagnostic accuracy of red flags used to screen for vertebral fracture in people presenting with low back pain. Where possible, we reported results of red flags separately for different types of vertebral fracture (i.e. acute osteoporotic vertebral compression fracture, vertebral traumatic fracture, vertebral stress fracture, unspecified vertebral fracture). SEARCH METHODS We used standard, extensive Cochrane search methods. The latest search date was 26 July 2022. SELECTION CRITERIA We considered primary diagnostic studies if they compared results of history taking or physical examination (or both) findings (index test) with a reference standard test (e.g. X-ray, magnetic resonance imaging (MRI), computed tomography (CT), single-photon emission computerised tomography (SPECT)) for the identification of vertebral fracture in people presenting with low back pain. We included index tests that were presented individually or as part of a combination of tests. DATA COLLECTION AND ANALYSIS Two review authors independently extracted data for diagnostic two-by-two tables from the publications or reconstructed them using information from relevant parameters to calculate sensitivity, specificity, and positive (+LR) and negative (-LR) likelihood ratios with 95% confidence intervals (CIs). We extracted aspects of study design, characteristics of the population, index test, reference standard, and type of vertebral fracture. Meta-analysis was not possible due to heterogeneity of studies and index tests, therefore the analysis was descriptive. We calculated sensitivity, specificity, and LRs for each test and used these as an indication of clinical usefulness. Two review authors independently conducted risk of bias and applicability assessment using the QUADAS-2 tool. MAIN RESULTS This review is an update of a previous Cochrane Review of red flags to screen for vertebral fracture in people with low back pain. We included 14 studies in this review, six based in primary care, five in secondary care, and three in tertiary care. Four studies reported on 'osteoporotic vertebral fractures', two studies reported on 'vertebral compression fracture', one study reported on 'osteoporotic and traumatic vertebral fracture', two studies reported on 'vertebral stress fracture', and five studies reported on 'unspecified vertebral fracture'. Risk of bias was only rated as low in one study for the domains reference standard and flow and timing. The domain patient selection had three studies and the domain index test had six studies rated at low risk of bias. Meta-analysis was not possible due to heterogeneity of the data. Results from single studies suggest only a small number of the red flags investigated may be informative. In the primary healthcare setting, results from single studies suggest 'trauma' demonstrated informative +LRs (range: 1.93 to 12.85) for 'unspecified vertebral fracture' and 'osteoporotic vertebral fracture' (+LR: 6.42, 95% CI 2.94 to 14.02). Results from single studies suggest 'older age' demonstrated informative +LRs for studies in primary care for 'unspecified vertebral fracture' (older age greater than 70 years: 11.19, 95% CI 5.33 to 23.51). Results from single studies suggest 'corticosteroid use' may be an informative red flag in primary care for 'unspecified vertebral fracture' (+LR range: 3.97, 95% CI 0.20 to 79.15 to 48.50, 95% CI 11.48 to 204.98) and 'osteoporotic vertebral fracture' (+LR: 2.46, 95% CI 1.13 to 5.34); however, diagnostic values varied and CIs were imprecise. Results from a single study suggest red flags as part of a combination of index tests such as 'older age and female gender' in primary care demonstrated informative +LRs for 'unspecified vertebral fracture' (16.17, 95% CI 4.47 to 58.43). In the secondary healthcare setting, results from a single study suggest 'trauma' demonstrated informative +LRs for 'unspecified vertebral fracture' (+LR: 2.18, 95% CI 1.86 to 2.54) and 'older age' demonstrated informative +LRs for 'osteoporotic vertebral fracture' (older age greater than 75 years: 2.51, 95% CI 1.48 to 4.27). Results from a single study suggest red flags as part of a combination of index tests such as 'older age and trauma' in secondary care demonstrated informative +LRs for 'unspecified vertebral fracture' (+LR: 4.35, 95% CI 2.92 to 6.48). Results from a single study suggest when '4 of 5 tests' were positive in secondary care, they demonstrated informative +LRs for 'osteoporotic vertebral fracture' (+LR: 9.62, 95% CI 5.88 to 15.73). In the tertiary care setting, results from a single study suggest 'presence of contusion/abrasion' was informative for 'vertebral compression fracture' (+LR: 31.09, 95% CI 18.25 to 52.96). AUTHORS' CONCLUSIONS The available evidence suggests that only a few red flags are potentially useful in guiding clinical decisions to further investigate people suspected to have a vertebral fracture. Most red flags were not useful as screening tools to identify vertebral fracture in people with low back pain. In primary care, 'older age' was informative for 'unspecified vertebral fracture', and 'trauma' and 'corticosteroid use' were both informative for 'unspecified vertebral fracture' and 'osteoporotic vertebral fracture'. In secondary care, 'older age' was informative for 'osteoporotic vertebral fracture' and 'trauma' was informative for 'unspecified vertebral fracture'. In tertiary care, 'presence of contusion/abrasion' was informative for 'vertebral compression fracture'. Combinations of red flags were also informative and may be more useful than individual tests alone. Unfortunately, the challenge to provide clear guidance on which red flags should be used routinely in clinical practice remains. Further research with primary studies is needed to improve and consolidate our current recommendations for screening for vertebral fractures to guide clinical care.
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Affiliation(s)
- Christopher S Han
- Institute for Musculoskeletal Health, The University of Sydney and Sydney Local Health District, Sydney, Australia
| | - Mark J Hancock
- Department of Health Sciences, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, Australia
| | - Aron Downie
- Institute for Musculoskeletal Health, The University of Sydney and Sydney Local Health District, Sydney, Australia
- Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, Australia
| | - Jeffrey G Jarvik
- Departments of Radiology and Neurological Surgery, and the UW Clinical Learning, Evidence And Research (CLEAR) Center for Musculoskeletal Disorders, University of Washington School of Medicine, Seattle, USA
| | - Bart W Koes
- Center for Muscle and Joint Health, University of Southern Denmark, Odense, Denmark
- Department of General Practice, Erasmus University Medical Center, Rotterdam, Netherlands
| | - Gustavo C Machado
- Institute for Musculoskeletal Health, The University of Sydney and Sydney Local Health District, Sydney, Australia
| | - Arianne P Verhagen
- Discipline of Physiotherapy, Graduate School of Health, University of Technology Sydney (UTS), Sydney, Australia
| | | | - Qiuzhe Chen
- Institute for Musculoskeletal Health, The University of Sydney and Sydney Local Health District, Sydney, Australia
| | - Christopher G Maher
- Institute for Musculoskeletal Health, The University of Sydney and Sydney Local Health District, Sydney, Australia
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Jaiswal R, Zoulakis M, Axelsson KF, Darelid A, Rudäng R, Sundh D, Litsne H, Johansson L, Lorentzon M. Increased Bone Material Strength Index Is Positively Associated With the Risk of Incident Osteoporotic Fractures in Older Swedish Women. J Bone Miner Res 2023; 38:860-868. [PMID: 37088885 DOI: 10.1002/jbmr.4816] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Revised: 04/04/2023] [Accepted: 04/16/2023] [Indexed: 04/25/2023]
Abstract
No previous studies have investigated the association between the bone material strength index (BMSi; an indicator of bone material properties obtained by microindentation) and the risk of incident fracture. The primary purpose of this prospective cohort study was to evaluate if BMSi is associated with incident osteoporotic fracture in older women and, secondarily, with prevalent fractures, anthropometric traits, or measurements of bone mineral density (BMD) by dual-energy X-ray absorptiometry (DXA). In a population-based cohort, 647 women aged 75 to 80 years underwent bone microindentation using the OsteoProbe device. Data on clinical risk factors (CRFs), prevalent fractures, and incident fractures were collected using questionnaires, medical records, and a regional X-ray archive. BMD and vertebral fracture assessment (VFA) were assessed by DXA (Hologic, Discovery A). Associations between BMSi, anthropometrics, BMD, and prevalent fractures were investigated using correlation and linear and logistic regression. Cox proportional hazards and competing risks analysis by Fine and Gray were used to study the association between BMSi and the risk of fracture and mortality. BMSi was weakly associated with age (r = -0.13, p < 0.001) and BMI (r = -0.21, p < 0.001) and with BMD of lumbar spine (β = 0.09, p = 0.02) and total hip (β = 0.08, p = 0.05), but only after adjustments. No significant associations were found between BMSi and prevalent fractures (self-reported and/or VFA identified, n = 332). During a median follow-up time of 6.0 years, 121 major osteoporotic fractures (MOF), 151 any fractures, and 50 deaths occurred. Increasing BMSi (per SD) was associated with increased risk of MOF (hazard ratio [HR] = 1.29, 95% confidence interval [CI] 1.07-1.56), any fracture (HR = 1.29, 95% CI 1.09-1.53), and mortality (HR = 1.44, 95% CI 1.07-1.93). The risk of fracture did not materially change with adjustment for confounders, CRFs, femoral neck BMD, or when considering the competing risk of death. In conclusion, unexpectedly increasing BMSi was associated with greater fracture risk. The clinical relevance and potential mechanisms of this finding require further study. © 2023 The Authors. Journal of Bone and Mineral Research published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research (ASBMR).
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Affiliation(s)
- Raju Jaiswal
- Sahlgrenska Osteoporosis Centre, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Michail Zoulakis
- 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
| | - Kristian 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
| | - Anna Darelid
- Sahlgrenska Osteoporosis Centre, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Robert Rudäng
- Sahlgrenska Osteoporosis Centre, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Daniel Sundh
- Sahlgrenska Osteoporosis Centre, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Henrik Litsne
- Sahlgrenska Osteoporosis Centre, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Lisa Johansson
- Sahlgrenska Osteoporosis Centre, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
- Region Västra Götaland, Department of Orthopedic Surgery, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Mattias 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
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16
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Wáng YXJ, Leung JC, Lam PM, Kwok TC. Conversion of osteoporotic-like vertebral fracture severity score to osteoporosis T-score equivalent status: A framework study for older Chinese men. Osteoporos Sarcopenia 2023; 9:14-21. [PMID: 37082356 PMCID: PMC10111950 DOI: 10.1016/j.afos.2023.03.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 01/28/2023] [Accepted: 03/09/2023] [Indexed: 04/22/2023] Open
Abstract
Objectives To define what portion of older community men with what severity of radiographic osteoporotic-like vertebral fracture (OLVF) correspond to what low T-score status. Methods There were 755 community Chinese men (age: 76.4 ± 6.7 years) with thoracic and lumbar spine radiographs, and hip and lumbar spine bone mineral density measures. For each vertebra in a subject, a score of 0, -0.5, -1, -1.5, -2, -2.5, and -3 was assigned for no OLVF or OLVF of <20%, ≥ 20-25%, ≥ 2 5%-1/3, ≥ 1/3-40%, ≥ 40%-2/3, and ≥ 2/3 vertebral height loss, respectively. OLVFss was defined as the summed score of vertebrae T4 to L5. OLVFss and T-scores were ranked from the smallest to the largest values. Results OLVFss of -2, -2.5, -3, corresponded to a mean femoral neck T-score of -2.297 (range: -2.355∼-2.247), -2.494 (range: -2.637∼ -2.363), and -2.773 (range: -2.898∼-2.643), a mean hip T-score of-2.311 (range: -2.420∼-2.234), -2.572 (range: -2.708∼-2.432), -2.911 (range: -3.134∼-2.708), a mean lumbar spine T-score of -2.495 (range: -2.656∼-2.403), -2.931 (range: -3.255∼-2.664), and -3.369 (range: -3.525∼-3.258). The Pearson correlation value of OLVFss and T-score of femoral neck, hip and lumbar spine was r = 0.21, 0.26, and 0.22 (all P < 0.0001). Conclusions A single severe grade radiological OLVF (≥ 40% height loss) or OLVFss ≤ -2.5 suggest the subject is osteoporotic, and a single collapse grade (≥ 2/3 height loss) OLVF or OLVFss ≤ -3 meets osteoporosis diagnosis criterion. The results highlight the difficulty of diagnosing osteoporotic vertebral fractures among Chinese older men.
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Affiliation(s)
- Yì Xiáng J. Wáng
- Department of Imaging and Interventional Radiology, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China
- Corresponding author.
| | - Jason C.S. Leung
- JC Centre for Osteoporosis Care and Control, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China
| | - Patti M.S. Lam
- JC Centre for Osteoporosis Care and Control, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China
| | - Timothy C.Y. Kwok
- JC Centre for Osteoporosis Care and Control, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China
- Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China
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17
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De Smet S, Banica T, Zmierczak HG, Goemaere S, Verroken C, Kaufman JM, Lapauw B. Prevalence of Vertebral Fractures and Non-fracture Deformities in Healthy Adult Men: The Importance of Morphologic Criteria. Calcif Tissue Int 2023; 112:24-33. [PMID: 36180602 DOI: 10.1007/s00223-022-01029-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Accepted: 09/17/2022] [Indexed: 01/12/2023]
Abstract
Vertebral fractures (VF) are common in older men but data on VF prevalence in young men is limited. The aim of this study was to describe the prevalence of VF and non-fracture vertebral deformities (VD) in healthy young to middle-aged men, and compare the characteristics of men with normal vertebrae, VF and VD. In this cross-sectional study, vertebral fracture assessment by dual-energy X-ray absorptiometry was performed in 650 men, aged 32 to 60 years (mean 46.2), from the population-based SIBLOS-SIBEX cohort. For VF and VD assessment, both the modified algorithm-based qualitative approach (morphologic criteria) to discriminate VF from VD and the semi-quantitative (morphometric) grading system of Genant (GSQ) were used. We found 48 (0.6%) fractured vertebrae, of which 15 were classified grade 1, 29 grade 2 and 4 grade 3 VF. There were 378 (4.7%) VD, of which 296 were scored grade 1, 82 grade 2 and none grade 3 VD. Twenty-six participants (4%) had VF, 15 had one and 11 had 2 or more VF. Two hundred and twenty-eight (35.1%) men had VD. Femoral neck, total hip and lumbar spine areal bone mineral density (aBMD) were lower in men with VF than in those with normal vertebrae or VD. Men with VD, in turn, had aBMD values similar to men with normal vertebrae. Our results suggest that -even in young healthy men-using the GSQ without taking qualitative aspects into account overestimates VF prevalence, confirming the importance of morphologic criteria to correctly diagnose and distinguish VF from VD.
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Affiliation(s)
- S De Smet
- Department of Endocrinology, Ghent University Hospital, Corneel Heymanslaan 10, 9K12E, 9000, Ghent, Belgium
| | - T Banica
- Department of Endocrinology, Ghent University Hospital, Corneel Heymanslaan 10, 9K12E, 9000, Ghent, Belgium
| | - H G Zmierczak
- Department of Endocrinology, Ghent University Hospital, Corneel Heymanslaan 10, 9K12E, 9000, Ghent, Belgium
- Unit for Osteoporosis and Metabolic Bone Diseases, Ghent University Hospital, Ghent, Belgium
| | - S Goemaere
- Department of Endocrinology, Ghent University Hospital, Corneel Heymanslaan 10, 9K12E, 9000, Ghent, Belgium
- Unit for Osteoporosis and Metabolic Bone Diseases, Ghent University Hospital, Ghent, Belgium
| | - C Verroken
- Department of Endocrinology, Ghent University Hospital, Corneel Heymanslaan 10, 9K12E, 9000, Ghent, Belgium
- Unit for Osteoporosis and Metabolic Bone Diseases, Ghent University Hospital, Ghent, Belgium
| | - J M Kaufman
- Department of Endocrinology, Ghent University Hospital, Corneel Heymanslaan 10, 9K12E, 9000, Ghent, Belgium
- Unit for Osteoporosis and Metabolic Bone Diseases, Ghent University Hospital, Ghent, Belgium
| | - B Lapauw
- Department of Endocrinology, Ghent University Hospital, Corneel Heymanslaan 10, 9K12E, 9000, Ghent, Belgium.
- Unit for Osteoporosis and Metabolic Bone Diseases, Ghent University Hospital, Ghent, Belgium.
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18
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Wáng YXJ, Diacinti D, Leung JCS, Iannacone A, Kripa E, Kwok TCY, Diacinti D. Conversion of osteoporotic vertebral fracture severity score to osteoporosis T-score equivalent status: a framework and a comparative study of Hong Kong Chinese and Rome Caucasian older women. Arch Osteoporos 2022; 18:1. [PMID: 36462068 DOI: 10.1007/s11657-022-01178-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Accepted: 10/13/2022] [Indexed: 12/04/2022]
Abstract
We explored how the severity of radiological osteoporotic vertebral fracture (OVF) can be converted to the equivalent T-score values. INTRODUCTION To perform a study to define what portion of older community women with what severity of radiographic OVF correspond to what low T-score status. METHODS There were age-matched 301 Italian community women and 301 Chinese community women (sub-group A, age, 73.6 ± 6.1 years). In addition, Chinese sub-groups B and C included 110 community women (age, 68.9 ± 5.5 years) and 101 community women (age: 82.2 ± 4.3 years), respectively. For each vertebra in women, a score of 0, - 0.5, - 1, - 1.5, - 2, - 2.5, and - 3 was assigned for no OVF or OVF of < 20%, ≥ 20 ~ 25%, ≥ 25% ~ 1/3, ≥ 1/3 ~ 40%, ≥ 40%-2/3, and ≥ 2/3 vertebral height loss, respectively, OVFss was defined as the summed score of vertebrae T4 to L5. OVFss and T-scores were ranked from the smallest to the largest values. RESULTS For the Chinese total group (sub-groups A, B, and C together), OVFss = - 1 corresponded to lowest T-score (lowest T-score of lumbar spine, femoral neck, and total hip) of - 3.4 ~ - 3.2. OVFss ≤ - 1.5 corresponded to femoral neck T-score ≤ - 2.5. OVFss = -1.5 corresponded to a mean femoral neck T-score of - 3.0, - 2.6, and - 2.4, among Chinese sub-groups B, A, and C subjects, respectively. For Italians, all cases with OVFss ≤ - 1 had lowest T-score ≤ - 2.5. For cases with femoral neck T-score = - 2.5, 41.7% had OVFss = - 1.5, and 58.3% had OVFss = - 1. CONCLUSION For older women, statistically OVFss ≤ - 1 suggests this subject is osteoporotic according to lowest T-score. If using femoral neck T-score, OVFss ≤ - 1.5 qualifies osteoporosis diagnosis.
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Affiliation(s)
- Yì Xiáng J Wáng
- Department of Imaging and Interventional Radiology, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China.
| | - Davide Diacinti
- Department of Radiological Sciences, Oncology, and Pathology, Sapienza University of Rome, Rome, Italy
- Department of Diagnostic and Molecular Imaging, Radiology and Radiotherapy, University Foundation Hospital Tor Vergata, Rome, Italy
| | - Jason C S Leung
- JC Centre for Osteoporosis Care and Control, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China
| | - Antonio Iannacone
- Department of Radiological Sciences, Oncology, and Pathology, Sapienza University of Rome, Rome, Italy
| | - Endi Kripa
- Department of Radiological Sciences, Oncology, and Pathology, Sapienza University of Rome, Rome, Italy
| | - Timothy C Y Kwok
- JC Centre for Osteoporosis Care and Control, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China
- Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China
| | - Daniele Diacinti
- Department of Radiological Sciences, Oncology, and Pathology, Sapienza University of Rome, Rome, Italy.
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19
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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: 58] [Impact Index Per Article: 19.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Accepted: 05/18/2022] [Indexed: 12/15/2022]
Abstract
We describe the collection of cohorts together with the analysis plan for an update of the fracture risk prediction tool FRAX with respect to current and novel risk factors. The resource comprises 2,138,428 participants with a follow-up of approximately 20 million person-years and 116,117 documented incident major osteoporotic fractures. INTRODUCTION The availability of the fracture risk assessment tool FRAX® has substantially enhanced the targeting of treatment to those at high risk of fracture with FRAX now incorporated into more than 100 clinical osteoporosis guidelines worldwide. The aim of this study is to determine whether the current algorithms can be further optimised with respect to current and novel risk factors. METHODS A computerised literature search was performed in PubMed from inception until May 17, 2019, to identify eligible cohorts for updating the FRAX coefficients. Additionally, we searched the abstracts of conference proceedings of the American Society for Bone and Mineral Research, European Calcified Tissue Society and World Congress of Osteoporosis. Prospective cohort studies with data on baseline clinical risk factors and incident fractures were eligible. RESULTS Of the 836 records retrieved, 53 were selected for full-text assessment after screening on title and abstract. Twelve cohorts were deemed eligible and of these, 4 novel cohorts were identified. These cohorts, together with 60 previously identified cohorts, will provide the resource for constructing an updated version of FRAX comprising 2,138,428 participants with a follow-up of approximately 20 million person-years and 116,117 documented incident major osteoporotic fractures. For each known and candidate risk factor, multivariate hazard functions for hip fracture, major osteoporotic fracture and death will be tested using extended Poisson regression. Sex- and/or ethnicity-specific differences in the weights of the risk factors will be investigated. After meta-analyses of the cohort-specific beta coefficients for each risk factor, models comprising 10-year probability of hip and major osteoporotic fracture, with or without femoral neck bone mineral density, will be computed. CONCLUSIONS These assembled cohorts and described models will provide the framework for an updated FRAX tool enabling enhanced assessment of fracture risk (PROSPERO (CRD42021227266)).
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Affiliation(s)
- L Vandenput
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
- Sahlgrenska Osteoporosis Centre, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - H Johansson
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
- Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK
| | - E V McCloskey
- Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK
- MRC Versus Arthritis Centre for Integrated Research in Musculoskeletal Ageing, Mellanby Centre for Musculoskeletal Research, University of Sheffield, Sheffield, UK
| | - E Liu
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
| | - K E Åkesson
- Clinical and Molecular Osteoporosis Research Unit, Department of Clinical Sciences, Lund University, Lund, Sweden
- Department of Orthopedics, Skåne University Hospital, Malmö, Sweden
| | - F A Anderson
- GLOW Coordinating Center, Center for Outcomes Research, University of Massachusetts Medical School, Worcester, MA, USA
| | - R Azagra
- Department of Medicine, Autonomous University of Barcelona, Barcelona, Spain
- Health Center Badia del Valles, Catalan Institute of Health, Barcelona, Spain
- GROIMAP (Research Group), Unitat de Suport a La Recerca Metropolitana Nord, Institut Universitari d'Investigació en Atenció Primària Jordi Gol, Santa Coloma de Gramenet, Barcelona, Spain
| | - C L Bager
- Nordic Bioscience A/S, Herlev, Denmark
| | - C Beaudart
- WHO Collaborating Centre for Public Health Aspects of Musculoskeletal Health and Aging, Division of Public Health, Epidemiology and Health Economics, University of Liège, Liège, Belgium
| | - H A Bischoff-Ferrari
- Department of Aging Medicine and Aging Research, University Hospital, Zurich, and University of Zurich, Zurich, Switzerland
- Centre On Aging and Mobility, University of Zurich and City Hospital, Zurich, Switzerland
| | - E Biver
- Division of Bone Diseases, Department of Medicine, Geneva University Hospitals and Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - O Bruyère
- WHO Collaborating Centre for Public Health Aspects of Musculoskeletal Health and Aging, Division of Public Health, Epidemiology and Health Economics, University of Liège, Liège, Belgium
| | - J A Cauley
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Philadelphia, USA
| | - J R Center
- Bone Biology, Healthy Ageing Theme, Garvan Institute of Medical Research, Sydney, NSW, Australia
- St Vincent's Clinical School, Faculty of Medicine, University of New South Wales Sydney, Sydney, NSW, Australia
- School of Medicine Sydney, University of Notre Dame Australia, Sydney, NSW, Australia
| | - R Chapurlat
- INSERM UMR 1033, University of Lyon, Hôpital Edouard Herriot, Lyon, France
| | | | - C Cooper
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- National Institute for Health Research Southampton Biomedical Research Centre, University of Southampton and University Hospitals Southampton NHS Foundation Trust, Southampton, UK
- National Institute for Health Research Oxford Biomedical Research Unit, , University of Oxford, Oxford, UK
| | - C J Crandall
- Division of General Internal Medicine and Health Services Research, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - S R Cummings
- San Francisco Coordinating Center, California Pacific Medical Center Research Institute, San Francisco, CA, USA
| | - J A P da Silva
- Coimbra Institute for Clinical and Biomedical Research, Faculty of Medicine, University of Coimbra, Coimbra, Portugal
- Rheumatology Department, University Hospital and University of Coimbra, Coimbra, Portugal
| | - B Dawson-Hughes
- Bone Metabolism Laboratory, Jean Mayer US Department of Agriculture Human Nutrition Research Center On Aging, Tufts University, Boston, MA, USA
| | - A Diez-Perez
- Department of Internal Medicine, Hospital del Mar and CIBERFES, Autonomous University of Barcelona, Barcelona, Spain
| | - A B Dufour
- Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
| | - J A Eisman
- St Vincent's Clinical School, Faculty of Medicine, University of New South Wales Sydney, Sydney, NSW, Australia
- School of Medicine Sydney, University of Notre Dame Australia, Sydney, NSW, Australia
- Osteoporosis and Bone Biology Division, Garvan Institute of Medical Research, Sydney, NSW, Australia
| | - P J M Elders
- Department of General Practice, Amsterdam UMC, Location VUmc, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - S Ferrari
- Division of Bone Diseases, Department of Medicine, Geneva University Hospitals and Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Y Fujita
- Department of Public Health, Faculty of Medicine, Kindai University, Osaka, Japan
| | - S Fujiwara
- Department of Pharmacy, Yasuda Women's University, Hiroshima, Japan
| | - C-C Glüer
- Section Biomedical Imaging, Molecular Imaging North Competence Center, Department of Radiology and Neuroradiology, University Medical Center Schleswig-Holstein Kiel, Kiel University, Kiel, Germany
| | - I Goldshtein
- Maccabitech Institute of Research and Innovation, Maccabi Healthcare Services, Tel Aviv, Israel
- Department of Epidemiology and Preventive Medicine, School of Public Health, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - D Goltzman
- Department of Medicine, McGill University and McGill University Health Centre, Montreal, Canada
| | - V Gudnason
- Icelandic Heart Association, Kopavogur, Iceland
- University of Iceland, Reykjavik, Iceland
| | - J Hall
- MRC Centre for Reproductive Health, University of Edinburgh, Edinburgh, UK
| | - D Hans
- Centre of Bone Diseases, Bone and Joint Department, Lausanne University Hospital, Lausanne, Switzerland
| | - M Hoff
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Rheumatology, St Olavs Hospital, Trondheim, Norway
| | - R J Hollick
- Aberdeen Centre for Arthritis and Musculoskeletal Health, Epidemiology Group, University of Aberdeen, Aberdeen, UK
| | - M Huisman
- Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, The Netherlands
- Department of Sociology, VU University, Amsterdam, The Netherlands
| | - M Iki
- Department of Public Health, Faculty of Medicine, Kindai University, Osaka, Japan
| | - S Ish-Shalom
- Endocrine Clinic, Elisha Hospital, Haifa, Israel
| | - G Jones
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - M K Karlsson
- Clinical and Molecular Osteoporosis Research Unit, Department of Clinical Sciences, Lund University, Lund, Sweden
- Department of Orthopaedics, Skåne University Hospital, Malmö, Sweden
| | - S Khosla
- Robert and Arlene Kogod Center On Aging and Division of Endocrinology, Mayo Clinic College of Medicine, Mayo Clinic, Rochester, MN, USA
| | - D P Kiel
- Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
| | - W-P Koh
- Healthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research (A*STAR), Singapore, Singapore
| | - F Koromani
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - M A Kotowicz
- IMPACT (Institute for Mental and Physical Health and Clinical Translation), Deakin University, Geelong, VIC, Australia
- Barwon Health, Geelong, VIC, Australia
- Department of Medicine - Western Health, The University of Melbourne, St Albans, Victoria, Australia
| | - H Kröger
- Department of Orthopedics and Traumatology, Kuopio University Hospital, Kuopio, Finland
- Kuopio Musculoskeletal Research Unit, University of Eastern Finland, Kuopio, Finland
| | - T Kwok
- Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, Hong Kong
- Jockey Club Centre for Osteoporosis Care and Control, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, Hong Kong
| | - O Lamy
- Centre of Bone Diseases, Lausanne University Hospital, Lausanne, Switzerland
- Service of Internal Medicine, Lausanne University Hospital, Lausanne, Switzerland
| | - A Langhammer
- Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, HUNT Research Centre, Norwegian University of Science and Technology, Trondheim, Norway
| | - B Larijani
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - K Lippuner
- Department of Osteoporosis, Bern University Hospital, University of Bern, Bern, Switzerland
| | - D Mellström
- Geriatric Medicine, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Geriatric Medicine, Sahlgrenska University Hospital Mölndal, Mölndal, Sweden
| | - T Merlijn
- Department of General Practice, Amsterdam UMC, Location VUmc, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - A Nordström
- Division of Sustainable Health, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
- School of Sport Sciences, Arctic University of Norway, Tromsø, Norway
| | - P Nordström
- Unit of Geriatric Medicine, Department of Community Medicine and Rehabilitation, Umeå University, Umeå, Sweden
| | - T W O'Neill
- National Institute for Health Research Manchester Biomedical Research Centre, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
- Centre for Epidemiology Versus Arthritis, University of Manchester, Manchester, UK
| | - B Obermayer-Pietsch
- Department of Internal Medicine, Division of Endocrinology and Diabetology, Medical University Graz, Graz, Austria
- Center for Biomarker Research in Medicine, Graz, Austria
| | - C Ohlsson
- Sahlgrenska Osteoporosis Centre, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Drug Treatment, Sahlgrenska University Hospital, Region Västra Götaland, Gothenburg, Sweden
| | - E S Orwoll
- Department of Medicine, Oregon Health and Science University, Portland, OR, USA
| | - J A Pasco
- Institute for Physical and Mental Health and Clinical Translation (IMPACT), Deakin University, Geelong, Australia
- Department of Medicine-Western Health, The University of Melbourne, St Albans, Australia
- Barwon Health, Geelong, Australia
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia
| | - F Rivadeneira
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - B Schei
- Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Gynecology, St Olavs Hospital, Trondheim, Norway
| | - A-M Schott
- Université Claude Bernard Lyon 1, U INSERM 1290 RESHAPE, Lyon, France
| | - E J Shiroma
- Laboratory of Epidemiology and Population Sciences, National Institute On Aging, Baltimore, MD, USA
| | - K Siggeirsdottir
- Icelandic Heart Association, Kopavogur, Iceland
- Janus Rehabilitation, Reykjavik, Iceland
| | - E M Simonsick
- Translational Gerontology Branch, National Institute On Aging Intramural Research Program, Baltimore, MD, USA
| | | | - R Sund
- Kuopio Musculoskeletal Research Unit, University of Eastern Finland, Kuopio, Finland
| | - K M A Swart
- Department of General Practice, Amsterdam UMC, Location VUmc, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - P Szulc
- INSERM UMR 1033, University of Lyon, Hôpital Edouard Herriot, Lyon, France
| | - J Tamaki
- Department of Hygiene and Public Health, Faculty of Medicine, Educational Foundation of Osaka Medical and Pharmaceutical University, Osaka, Japan
| | - D J Torgerson
- York Trials Unit, Department of Health Sciences, University of York, York, UK
| | - N M van Schoor
- Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, The Netherlands
| | - T P van Staa
- Centre for Health Informatics, Faculty of Biology, Medicine and Health, School of Health Sciences, University of Manchester, Manchester, UK
| | - J Vila
- Statistics Support Unit, Hospital del Mar Medical Research Institute, CIBER Epidemiology and Public Health (CIBERESP), Barcelona, Spain
| | - N J Wareham
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - N C Wright
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - N Yoshimura
- Department of Preventive Medicine for Locomotive Organ Disorders, The University of Tokyo Hospital, Tokyo, Japan
| | - M C Zillikens
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - M Zwart
- Health Center Can Gibert del Plà, Catalan Institute of Health, Girona, Spain
- Department of Medical Sciences, University of Girona, Girona, Spain
- GROIMAP (Research Group), Institut Universitari d'Investigació en Atenció Primària Jordi Gol, Barcelona, Spain
| | - N C Harvey
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - M Lorentzon
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
- Sahlgrenska Osteoporosis Centre, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
- Geriatric Medicine, Region Västra Götaland, Sahlgrenska University Hospital, Mölndal, Sweden
| | - W D Leslie
- Department of Medicine, University of Manitoba, Winnipeg, MB, Canada
| | - J A Kanis
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia.
- Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK.
- Centre for Metabolic Bone Diseases, University of Sheffield Medical School, Sheffield, UK.
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20
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Lorentzon M, Abrahamsen B. Osteoporosis epidemiology using international cohorts. Curr Opin Rheumatol 2022; 34:280-288. [PMID: 35758867 DOI: 10.1097/bor.0000000000000885] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
PURPOSE OF REVIEW To provide an update on the most important new cohort studies within osteoporosis and their bearing on clinical management and directions for future research. RECENT FINDINGS We identified a collection of new observational cohort studies - including new reports from already established large cohorts - and intervention studies providing new insights into osteoporosis pathophysiology, risk finding, intervention, and treatment barriers. SUMMARY Recent cohort studies in osteoporosis highlight the importance of timely identification and treatment of people who are at high risk of suffering osteoporotic fractures. Physical performance is a strong indicator of fracture risk and one that is tightly linked to a number of chronic conditions, not least inflammatory conditions like rheumatoid arthritis. Advances in case finding may involve opportunistic screening for low bone mineral density and vertebral fractures of radiology images obtained for other purposes, polygenic risk scores, and routinely collected medication and comorbidity information.
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Affiliation(s)
- Mattias 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
| | - Bo Abrahamsen
- Holbæk Hospital, Department of Medicine, Holbæk, Denmark
- Nuffield Department of Rheumatology and Musculoskeletal Science, University of Oxford, Oxford, UK
- Open Patient Data Explorative Network (OPEN), University of Southern Denmark and Odense University Hospital, Odense, Denmark
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21
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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: 3.7] [Reference Citation Analysis] [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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22
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Xiao BH, Zhu MSY, Du EZ, Liu WH, Ma JB, Huang H, Gong JS, Diacinti D, Zhang K, Gao B, Liu H, Jiang RF, Ji ZY, Xiong XB, He LC, Wu L, Xu CJ, Du MM, Wang XR, Chen LM, Wu KY, Yang L, Xu MS, Diacinti D, Dou Q, Kwok TYC, Wáng YXJ. A software program for automated compressive vertebral fracture detection on elderly women's lateral chest radiograph: Ofeye 1.0. Quant Imaging Med Surg 2022; 12:4259-4271. [PMID: 35919046 PMCID: PMC9338385 DOI: 10.21037/qims-22-433] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Accepted: 05/25/2022] [Indexed: 11/17/2022]
Abstract
Background Because osteoporotic vertebral fracture (OVF) on chest radiographs is commonly missed in radiological reports, we aimed to develop a software program which offers automated detection of compressive vertebral fracture (CVF) on lateral chest radiographs, and which emphasizes CVF detection specificity with a low false positivity rate. Methods For model training, we retrieved 3,991 spine radiograph cases and 1,979 chest radiograph cases from 16 sources, with among them in total 1,404 cases had OVF. For model testing, we retrieved 542 chest radiograph cases and 162 spine radiograph cases from four independent clinics, with among them 215 cases had OVF. All cases were female subjects, and except for 31 training data cases which were spine trauma cases, all the remaining cases were post-menopausal women. Image data included DICOM (Digital Imaging and Communications in Medicine) format, hard film scanned PNG (Portable Network Graphics) format, DICOM exported PNG format, and PACS (Picture Archiving and Communication System) downloaded resolution reduced DICOM format. OVF classification included: minimal and mild grades with <20% or ≥20-25% vertebral height loss respectively, moderate grade with ≥25-40% vertebral height loss, severe grade with ≥40%-2/3 vertebral height loss, and collapsed grade with ≥2/3 vertebral height loss. The CVF detection base model was mainly composed of convolution layers that include convolution kernels of different sizes, pooling layers, up-sampling layers, feature merging layers, and residual modules. When the model loss function could not be further decreased with additional training, the model was considered to be optimal and termed 'base-model 1.0'. A user-friendly interface was also developed, with the synthesized software termed 'Ofeye 1.0'. Results Counting cases and with minimal and mild OVFs included, base-model 1.0 demonstrated a specificity of 97.1%, a sensitivity of 86%, and an accuracy of 93.9% for the 704 testing cases. In total, 33 OVFs in 30 cases had a false negative reading, which constituted a false negative rate of 14.0% (30/215) by counting all OVF cases. Eighteen OVFs in 15 cases had OVFs of ≥ moderate grades missed, which constituted a false negative rate of 7.0% (15/215, i.e., sensitivity 93%) if only counting cases with ≥ moderate grade OVFs missed. False positive reading was recorded in 13 vertebrae in 13 cases (one vertebra in each case), which constituted a false positivity rate of 2.7% (13/489). These vertebrae with false positivity labeling could be readily differentiated from a true OVF by a human reader. The software Ofeye 1.0 allows 'batch processing', for example, 100 radiographs can be processed in a single operation. This software can be integrated into hospital PACS, or installed in a standalone personal computer. Conclusions A user-friendly software program was developed for CVF detection on elderly women's lateral chest radiographs. It has an overall low false positivity rate, and for moderate and severe CVFs an acceptably low false negativity rate. The integration of this software into radiological practice is expected to improve osteoporosis management for elderly women.
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Affiliation(s)
- Ben-Heng Xiao
- Department of Imaging and Interventional Radiology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | | | - Er-Zhu Du
- Department of Radiology, Dongguan Traditional Chinese Medicine Hospital, Dongguan, China
| | - Wei-Hong Liu
- Department of Radiology, General Hospital of China Resources & Wuhan Iron and Steel Corporation, Wuhan, China
| | - Jian-Bing Ma
- Department of Radiology, the First Hospital of Jiaxing, The Affiliated Hospital of Jiaxing University, Jiaxing, China
| | - Hua Huang
- Department of Radiology, The Third People’s Hospital of Shenzhen, The Second Affiliated Hospital of Southern University of Science and Technology, National Clinical Research Center for Infectious Diseases, Shenzhen, China
| | - Jing-Shan Gong
- Department of Radiology, Shenzhen People’s Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, China
| | - Davide Diacinti
- Department of Radiological Sciences, Oncology and Pathology, Sapienza University of Rome, Sapienza University of Rome, Rome, Italy
- Department of Diagnostic and Molecular Imaging, Radiology and Radiotherapy, University Foundation Hospital Tor Vergata, Rome, Italy
| | - Kun Zhang
- Department of Radiology, First Affiliated Hospital of Hunan University of Chinese Medicine, Changsha, China
| | - Bo Gao
- Department of Radiology, The Affiliated Hospital of Guizhou Medical University, Guiyang, China
| | - Heng Liu
- Department of Radiology, the Affiliated Hospital of Zunyi Medical University, Zunyi, China
| | - Ri-Feng Jiang
- Department of Radiology, Fujian Medical University Union Hospital, Fuzhou, China
| | - Zhong-You Ji
- PET-CT Center, Fujian Medical University Union Hospital, Fuzhou, China
| | - Xiao-Bao Xiong
- Department of Radiology, Zhejiang Provincial Tongde Hospital, Hangzhou, China
| | - Lai-Chang He
- Department of Radiology, the First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Lei Wu
- Department of Radiology, the First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China
| | - Chuan-Jun Xu
- Department of Radiology, The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing, China
| | - Mei-Mei Du
- Department of Radiology, The Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, Wenzhou, China
| | - Xiao-Rong Wang
- Department of Radiology, Ningbo First Hospital, Ningbo, China
| | - Li-Mei Chen
- Department of Imaging and Interventional Radiology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Kong-Yang Wu
- Department of Imaging and Interventional Radiology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
- College of Electrical and Information Engineering, Jinan University, Guangzhou, China
| | - Liu Yang
- Department of Imaging and Interventional Radiology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Mao-Sheng Xu
- Department of Radiology, the First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China
| | - Daniele Diacinti
- Department of Radiological Sciences, Oncology and Pathology, Sapienza University of Rome, Sapienza University of Rome, Rome, Italy
| | - Qi Dou
- Department of Computer Science and Engineering, Faculty of Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Timothy Y. C. Kwok
- JC Centre for Osteoporosis Care and Control, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Yì Xiáng J. Wáng
- Department of Imaging and Interventional Radiology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
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Han CS, Hancock MJ, Downie A, Jarvik JG, Koes BW, Machado GC, Verhagen AP, Williams CM, Maher CG. Red flags to screen for vertebral fracture in patients presenting with low back pain. Hippokratia 2022. [DOI: 10.1002/14651858.cd014461] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Christopher S Han
- Institute for Musculoskeletal Health; The University of Sydney and Sydney Local Health District; Sydney Australia
| | - Mark J Hancock
- Faculty of Medicine, Health and Human Sciences; Macquarie University; Sydney Australia
| | - Aron Downie
- Institute for Musculoskeletal Health; The University of Sydney and Sydney Local Health District; Sydney Australia
- Faculty of Medicine, Health and Human Sciences; Macquarie University; Sydney Australia
| | - Jeffrey G Jarvik
- Radiology and Neurological Surgery, Clinical Learning, Evidence And Research (CLEAR) Center; University of Washington School of Medicine; Seattle USA
| | - Bart W Koes
- Center for Muscle and Health; University of Southern Denmark; Odense Denmark
| | - Gustavo C Machado
- Institute for Musculoskeletal Health; The University of Sydney and Sydney Local Health District; Sydney Australia
| | - Arianne P Verhagen
- Discipline of Physiotherapy, Graduate School of Health; University of Technology ; Sydney Australia
| | | | - Christopher G Maher
- Institute for Musculoskeletal Health; The University of Sydney and Sydney Local Health District; Sydney Australia
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24
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Wáng YXJ. An update of our understanding of radiographic diagnostics for prevalent osteoporotic vertebral fracture in elderly women. Quant Imaging Med Surg 2022; 12:3495-3514. [PMID: 35782246 PMCID: PMC9246755 DOI: 10.21037/qims-22-360] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Accepted: 04/22/2022] [Indexed: 08/30/2023]
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Du EZ, Wáng YXJ. CT detects more osteoporotic endplate depressions than radiograph: a descriptive comparison of 76 vertebrae. Osteoporos Int 2022; 33:1569-1577. [PMID: 35368223 DOI: 10.1007/s00198-022-06391-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Accepted: 03/28/2022] [Indexed: 10/18/2022]
Abstract
UNLABELLED This study analyzed elderly women who had chest radiograph and chest CT with indications other than spine disorders. Using CT images as reference, the study demonstrates that radiograph can miss a high portion of mild endplate depression. Detection of endplate depression is confounded by the limitation of projectional overlay for radiograph. INTRODUCTION The definition of radiographic OVF (osteoporotic vertebral fracture) remains controversial. Some authors suggest all OVFs should demonstrate endplate fracture/depression on radiograph. Using CT image as the reference, our study tests the hypothesis that a considerable portion of endplate depressions not seen on radiograph can be detected on CT. METHODS We retrospectively analyzed 46 female cases (age: 67-94 years) who had both chest radiography and chest CT with indications other than spine disorders. Sixty-six "vertebrae of interest" were identified on radiograph; then, CT images were read side-by-side with lateral chest radiograph. RESULTS Thirty-eight vertebrae (38/66) had anterior wedging deformity with height loss of < 20% while without radiographic endplate depression. Among them, 28 vertebrae had endplate depression and 8 vertebrae had no endplate depression on CT, while 2 vertebrae with "very" minimal deformity were read as normal on CT. In 9 vertebrae (9/66) with anterior wedging and height loss of ≥ 20%, all had additional endplate depression seen on CT. Five vertebrae (5/66) had ambiguous endplate depression on radiograph, 3 had endplate depression on CT while the other 2 vertebrae in one patient were false positive due to X-ray projection. There were 14 short height vertebrae (14/66) where middle and anterior heights were reduced to the same extent while did not show apparent anterior wedging or bi-concaving. Four cases each had one short height vertebra, and all had endplate depression on CT. Another 4 cases had 2, 2, 3, and 3 adjacent short height vertebrae, respectively, and all did not show endplate depression on CT. In addition, inspection of spine CT showed 10 vertebrae in 9 cases appeared normal on radiograph while demonstrated endplate depression on CT. CONCLUSION With CT images as reference, radiograph can miss a high portion of mild endplate depressions.
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Affiliation(s)
- E-Z Du
- Department of Radiology, Dongguan Traditional Chinese Medicine Hospital, Dongguan, Guangdong province, China
| | - Y X J Wáng
- Department of Imaging and Interventional Radiology, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China.
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Liu Y, Yu A, Li K, Wang L, Huang P, Geng J, Zhang Y, Duanmu YY, Blake GM, Cheng X. Differences in spine volumetric bone mineral density between grade 1 vertebral fracture and non-fractured participants in the China action on spine and hip status study. Front Endocrinol (Lausanne) 2022; 13:1013597. [PMID: 36387886 PMCID: PMC9647629 DOI: 10.3389/fendo.2022.1013597] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/07/2022] [Accepted: 10/14/2022] [Indexed: 12/03/2022] Open
Abstract
PURPOSE This study evaluated the prevalence of vertebral fractures (VF) in middle-aged and elderly Chinese men and women and explored the differences in lumbar spine volumetric bone mineral density (vBMD) derived from quantitative CT (QCT) between those with a grade 1 vertebral fracture and non-fractured individuals. MATERIALS AND METHODS 3,457 participants were enrolled in the China Action on Spine and Hip Status (CASH) study and had upper abdominal CT examinations. Vertebral fractures were identified by Genant's semi-quantitative method from lateral CT scout views or CT sagittal views. L1-3 vBMD was measured by Mindways QCT Pro v5.0 software. The characteristics of different fracture severity groups were compared using one-way ANOVA, independent-samples t-tests, and Kruskal-Wallis H-tests. RESULTS 1267 males (aged 62.77 ± 9.20 years) and 2170 females (aged 61.41 ± 9.01 years) were included in the analysis. In men, the prevalence of VF increased from 14.7% at age<50 years to 23.2% at age ≥70 years, and in women from 5.1% at age<50 years to 33.0% at age ≥70 years. Differences in mean age and vBMD were found between the different fracture grade groups. After age stratification, vBMD differences in men aged < 50 years old disappeared (p = 0.162) but remained in the older age bands. There was no significant difference in mean vBMD between those with multiple mild fractures and those with a single mild fracture. CONCLUSION In women, the prevalence of VF increased rapidly after age 50, while it grew more slowly in men. In general, with the exception of men <50 years old, participants with a grade 1 VF had lower vBMD than non-fractured individuals. The majority of women younger than 50 with a grade 1 VF had normal bone mass. We recommend that a vertebral height reduction ratio of <25% be diagnosed as a deformity rather than a fracture in people under the age of 50. The presence of multiple mild fractured vertebrae does not imply lower BMD.
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Affiliation(s)
- Yandong Liu
- Radiology Department, Peking University Fourth School of Clinical Medicine, Beijing, China
| | - Aihong Yu
- Radiology Department, Beijing Anding Hospital Capital Medical University, Beijing, China
| | - Kai Li
- Radiology Department, Peking University Fourth School of Clinical Medicine, Beijing, China
| | - Ling Wang
- Radiology Department, Peking University Fourth School of Clinical Medicine, Beijing, China
| | - Pengju Huang
- Radiology Department, Peking University Fourth School of Clinical Medicine, Beijing, China
| | - Jian Geng
- Radiology Department, Peking University Fourth School of Clinical Medicine, Beijing, China
| | - Yong Zhang
- Intervention Department, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| | - Yang-yang Duanmu
- South Medical Image Center, The First Affiliated Hospital of University of Science and Technology of China (USTC), Anhui, China
| | - Glen M. Blake
- School of Biomedical Engineering and Imaging Sciences, King’s College London, St Thomas’ Hospital, London, United Kingdom
| | - Xiaoguang Cheng
- Radiology Department, Peking University Fourth School of Clinical Medicine, Beijing, China
- *Correspondence: Xiaoguang Cheng,
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27
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Kanterewicz E, Puigoriol E, Peris P. Grade 1 vertebral fractures, bone mineral density, and the risk of fractures. J Bone Miner Res 2021; 36:2275-2276. [PMID: 33877710 DOI: 10.1002/jbmr.4302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2021] [Revised: 02/19/2021] [Accepted: 03/03/2021] [Indexed: 11/07/2022]
Affiliation(s)
| | - Emma Puigoriol
- Department of Clinical Epidemiology, Hospital Universitari de Vic, Vic, Spain
| | - Pilar Peris
- Department of Rheumatology, Hospital Clínic i Provincial de Barcelona, Barcelona, Spain
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28
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Johansson L, Lorentzon M. Reply to: Grade 1 vertebral fractures, bone mineral density, and the risk of fractures. J Bone Miner Res 2021; 36:2277-2278. [PMID: 33900653 DOI: 10.1002/jbmr.4301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Accepted: 03/24/2021] [Indexed: 11/06/2022]
Affiliation(s)
- Lisa Johansson
- Department of Orthopaedics, Sahlgrenska University Hospital, Mölndal, Sweden.,Geriatric Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Mattias Lorentzon
- Geriatric Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.,Geriatric Medicine Clinic, Sahlgrenska University Hospital, Mölndal, Sweden.,Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
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de Villiers TJ, Goldstein SR. Update on bone health: the International Menopause Society White Paper 2021. Climacteric 2021; 24:498-504. [PMID: 34498505 DOI: 10.1080/13697137.2021.1950967] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
Osteoporosis and associated fractures present a major challenge in improving global health outcomes. Key clinical aspects are the definition of osteoporosis and associated fractures, fracture risk prediction, stratification of risk of fracture, intervention thresholds and the most appropriate intervention based on integration of aforementioned. Correct understanding and application of these concepts are essential to stem the increasing tide of fragility fractures associated with an aging population. The role of muscle strength and function, sarcopenia, and the newly emerging concept of osteosarcopenia in maintaining bone health are discussed in detail.
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Affiliation(s)
- T J de Villiers
- Past President of the International Menopause Society and Consultant, Department of Gynecology, Stellenbosch University and Mediclinic Panorama, Cape Town, South Africa
| | - S R Goldstein
- President of the International Menopause Society and Professor of Obstetrics and Gynecology, New York University, Grossman School of Medicine, New York, USA
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Chandran M, Kwee A. Treatment indications and thresholds of intervention: consensus and controversies in osteoporosis. Climacteric 2021; 25:29-36. [PMID: 34313165 DOI: 10.1080/13697137.2021.1951205] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
A few indications for treatment and thresholds for intervention in osteoporosis have been propounded in the literature and recommended in guidelines. These include a bone mineral density (BMD) T-score ≤ -2.5, fracture probability-based scores and the presence of a fragility fracture. A low BMD is associated with an increased risk of fracture. However, a BMD T-score of ≤ -2.5 on its own does not capture fracture risk in its entirety. Fracture risk assessment tools that are based on clinical risk factors arose from the misgivings about using BMD T-scores in isolation to assess fracture risk. Algorithms such as FRAX, Garvan etc, integrate various clinical risk factors with or without BMD to compute the probability of a hip fracture or a major osteoporotic fracture over a finite period. These probabilities do not yield distinctive thresholds by themselves and need to be interpreted wisely and adopted by consensus. Evidence exists to show that treatment can decrease the risk of sustaining a second fracture. Therefore, patients with a fragility fracture should be considered for treatment. In this narrative interview, we will explore the strengths and limitations of some of these indications for treatment and will discuss the various points of contention surrounding them.
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Affiliation(s)
- M Chandran
- Osteoporosis and Bone Metabolism Unit, Department of Endocrinology, Singapore General Hospital, Singapore, Singapore
| | - A Kwee
- Osteoporosis and Bone Metabolism Unit, Department of Endocrinology, Singapore General Hospital, Singapore, Singapore
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Improving osteoporotic vertebral deformity detection on chest frontal view radiograph by adjusted X-ray beam positioning. J Orthop Translat 2021; 28:169-178. [PMID: 34036040 PMCID: PMC8121774 DOI: 10.1016/j.jot.2021.04.001] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Revised: 04/02/2021] [Accepted: 04/08/2021] [Indexed: 11/24/2022] Open
Abstract
Purpose In clinics, chest frontal view radiograph (CFR) is often taken for patients suspected of respiratory diseases and for assessing the heart and big vessels. CFR can be utilised to opportunistically detect osteoporotic vertebral fracture (OVF). However, for standard CFR, the site of highest OVF prevalence, i.e., the thoracolumbar junction, is usually 'off-centre' to the X-ray beam focus. This study tested the hypothesis that, if a CRF is taken with approximately two vertebrae lower than the standard X-ray beam positioning, the visualization of thoraco-lumbar junction can be much improved. Materials Four hospitals (A, B, C, D) provided 101 elderly women's digital CFRs with standard filming (28, 20, 24, and 21 cases respectively). Eighty four elderly female patients were prospectively recruited from hospitals-A and B, who were consecutive patients referred for chest radiograph with indications other than spine disorders. For theses prospective CFRs, the focus of X-ray beam was adjusted from towards vertebra T6 to towards T8, and standard lateral radiographs were obtained for reference. Visibility of spine and detectability of OVF were assessed on the CFRs. OVF was diagnosed based on chest lateral radiograph (CLR) after excluding other potential causes both radiographically and clinically. Results For standardly filmed CFR, spine readability was similar among those from Hospitals-A, B, and C, while performed less well for those from Hospital-D. With the prospective cases from Hospitals-A and B, spines readable to vertebra L1 level or lower increased from 48.2% for standard filming to 80.7% for adjusted filming. Spines with 'blurry' labelling decreased from 35.7% for standard filming to 15.7% for adjusted filming. For the 84 prospective cases, 42.9% (36/84) of the patients had OVF, and 26 cases of CLR positive cases were detected as having vertebral deformity on CFR. For minimal OVF cases (<20% height loss), 38% (5/13) were detected on CFR. Among 22 cases with apparent OVF (≥20% height loss), two cases were missed on CFR. False positivity was labelled in five cases, among them four cases had 'burry' spines. Conclusion CFR can help opportunistically detect OVF, which can be further improved if X-ray beam is adjusted to towards vertebra T8 instead of towards vertebra T6. The translational potential of this article This study confirms that CFR can help detect OVF opportunistically, and the visibility of the mid/lower thoracic spine and thoracolumbar junction can be much improved after minor adjustment of X-ray beam positioning. This study also suggests high positive rate of OVF in elderly Chinese female patients indicated for chest radiograph. Radiologists should be trained and sensitized in vertebral deformity identification on CFR as the clinical management can be improved by opportunistic detection of OVF.
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Lems WF, Paccou J, Zhang J, Fuggle NR, Chandran M, Harvey NC, Cooper C, Javaid K, Ferrari S, Akesson KE. Vertebral fracture: epidemiology, impact and use of DXA vertebral fracture assessment in fracture liaison services. Osteoporos Int 2021; 32:399-411. [PMID: 33475820 PMCID: PMC7929949 DOI: 10.1007/s00198-020-05804-3] [Citation(s) in RCA: 64] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Accepted: 12/16/2020] [Indexed: 02/07/2023]
Abstract
Vertebral fractures are independent risk factors for vertebral and nonvertebral fractures. Since vertebral fractures are often missed, the relatively new introduction of vertebral fracture assessment (VFA) for imaging of the lateral spine during DXA-measurement of the spine and hips may contribute to detect vertebral fractures. We advocate performing a VFA in all patients with a recent fracture visiting a fracture liaison service (FLS). Fracture liaison services (FLS) are important service models for delivering secondary fracture prevention for older adults presenting with a fragility fracture. While commonly age, clinical risk factors (including fracture site and number of prior fracture) and BMD play a crucial role in determining fracture risk and indications for treatment with antiosteoporosis medications, prevalent vertebral fractures usually remain undetected. However, vertebral fractures are important independent risk factors for future vertebral and nonvertebral fractures. A development of the DXA technology, vertebral fracture assessment (VFA), allows for assessment of the lateral spine during the regular DXA bone mineral density measurement of the lumbar spine and hips. Recent approaches to the stratification of antiosteoporosis medication type according to baseline fracture risk, and differences by age in the indication for treatment by prior fracture mean that additional information from VFA may influence initiation and type of treatment. Furthermore, knowledge of baseline vertebral fractures allows reliable definition of incident vertebral fracture events during treatment, which may modify the approach to therapy. In this manuscript, we will discuss the epidemiology and clinical significance of vertebral fractures, the different methods of detecting vertebral fractures, and the rationale for, and implications of, use of VFA routinely in FLS. • Vertebral fracture assessment is a tool available on modern DXA instruments and has proven ability to detect vertebral fractures, the majority of which occur without a fall and without the signs and symptoms of an acute fracture. • Most osteoporosis guidelines internationally suggest that treatment with antiosteoporosis medications should be considered for older individuals (e.g., 65 years +) with a recent low trauma fracture without the need for DXA. • Younger individuals postfracture may be risk-assessed on the basis of FRAX® probability including DXA and associated treatment thresholds. • Future fracture risk is markedly influenced by both site, number, severity, and recency of prior fracture; awareness of baseline vertebral fractures facilitates definition of true incident vertebral fracture events occurring during antiosteoporosis treatment. • Detection of previously clinically silent vertebral fractures, defining site of prior fracture, might alter treatment decisions in younger or older FLS patients, consistent with recent IOF-ESCEO guidance on baseline-risk-stratified therapy, and provides a reliable baseline from which to define new, potentially therapy-altering, vertebral fracture events.
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Affiliation(s)
- W F Lems
- Amsterdam UMC, VU University Medical Center, Amsterdam, The Netherlands.
| | - J Paccou
- Department of Rheumatology, Univ. Lille, CHU Lille, MABLab ULR 4490, 59000, Lille, France
| | - J Zhang
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - N R Fuggle
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - M Chandran
- Osteoporosis and Bone Metabolism Unit, Department of Endocrinology, Singapore General Hospital, Singapore, Singapore
| | - N C Harvey
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - C Cooper
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- Nuffield Department of Orthopaedics, Rheumatology and Orthopaedic Sciences, University of Oxford, Oxford, UK
| | - K Javaid
- Nuffield Department of Orthopaedics, Rheumatology and Orthopaedic Sciences, University of Oxford, Oxford, UK
| | - S Ferrari
- Clinical Service and Research Laboratory of Bone Diseases, Hôpitaux Universitaires de Genève, Geneva, Switzerland
| | - K E Akesson
- Department of Clinical Sciences and Department of Orthopaedics, Skane University Hospital, Lund University, Malmö, Sweden
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