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Wu Y, Ma W, Cheng Z, Zhang Q, Li Z, Weng P, Li B, Huang Z, Fu C. Causal relationships between body mass index, low-density lipoprotein and bone mineral density: Univariable and multivariable Mendelian randomization. PLoS One 2024; 19:e0298610. [PMID: 38870109 PMCID: PMC11175445 DOI: 10.1371/journal.pone.0298610] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Accepted: 01/27/2024] [Indexed: 06/15/2024] Open
Abstract
SUMMARY Utilizing the Mendelian randomization technique, this research clarifies the putative causal relationship between body mass index (BMI) andbone mineral density (BMD), and the mediating role of low-density lipoprotein (LDL). The implications of these findings present promising opportunities for enhancing our understanding of complex bone-related characteristics and disorders, offering potential directions for treatment and intervention. OBJECTIVE The objective of this study is to examine the correlation between BMI and BMD, while exploring the intermediary role of LDL in mediating the causal impact of BMI on BMD outcomes via Mendelian randomization. METHODS In this study, we employed genome-wide association study (GWAS) data on BMI, LDL, and BMD to conduct a comparative analysis using both univariate and multivariate Mendelian randomization. RESULTS Our study employed a two-sample Mendelian randomization design. Considering BMI as the exposure and BMD as the outcome, our results suggest that BMI may function as a potential protective factor for BMD (β = 0.05, 95% CI 1.01 to 1.09, P = 0.01). However, when treating LDL as the exposure and BMD as the outcome, our findings indicate LDL as a risk factor for BMD (β = -0.04, 95% CI 0.92 to 0.99, P = 0.04). In our multivariate Mendelian randomization (MVMR) model, the combined influence of BMI and LDL was used as the exposure for BMD outcomes. The analysis pointed towards a substantial protective effect of LDL on BMD (β = 0.08, 95% CI 0.85 to 0.97, P = 0.006). In the analysis of mediation effects, LDL was found to mediate the relationship between BMI and BMD, and the effect was calculated at (β = 0.05, 95% CI 1.052 to 1.048, P = 0.04). CONCLUSION Our findings suggest that BMI may be considered a protective factor for BMD, while LDL may act as a risk factor. Moreover, LDL appears to play a mediatory role in the causal influence of BMI on BMD.
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Affiliation(s)
- Yuxiang Wu
- Quanzhou Hospital of Traditional Chinese Medicine, Quanzhou, Fujian, China
- Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China
| | - Weiwei Ma
- School of Acupuncture-Moxibustion and Orthopaedics College of Acupuncture, Hubei University of Chinese Medicine, Wuhan, Hubei, China
| | - Zhenda Cheng
- Quanzhou Hospital of Traditional Chinese Medicine, Quanzhou, Fujian, China
- Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China
| | - Qiwei Zhang
- Department of Orthopaedics, Dongzhimen Hospital, Beijing University of Chinese Medicine, National Center for Traditional Chinese Medicine, Beijing, China
| | - Zhaodong Li
- Guangzhou University of Traditional Chinese Medicine, Guangzhou, Guangdong, China
| | - Punan Weng
- Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China
| | - Bushuang Li
- Department of body conditioning, Xiamen Hospital of Beijing University of Chinese Medicine, Xiamen, Fujian, China
| | - Zhiqiang Huang
- Quanzhou Hospital of Traditional Chinese Medicine, Quanzhou, Fujian, China
| | - Changlong Fu
- Academy of Integrative Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China
- Fujian Provincial Key Laboratory of Integrative Medicine on Geriatrics, Fuzhou, Fujian, China
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McCloskey E, Tan ATH, Schini M. Update on fracture risk assessment in osteoporosis. Curr Opin Endocrinol Diabetes Obes 2024:01266029-990000000-00098. [PMID: 38809256 DOI: 10.1097/med.0000000000000871] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/30/2024]
Abstract
PURPOSE OF REVIEW The assessment of fracture risk is playing an ever-increasing role in osteoporosis clinical management and informing international guidelines for osteoporosis. FRAX, a fracture risk calculator that provides individualized 10-year probabilities of hip and major osteoporotic fracture, has been widely used since 2008. In this review, we recap the development and limitations of intervention thresholds and the role of absolute fracture risk. RECENT FINDINGS There is an increasing awareness of disparities and inequities in the setting of intervention thresholds in osteoporosis. The limitations of the simple use of prior fracture or the DXA-derived BMD T-score threshold are increasingly being discussed; one solution is to use fracture risk or probabilities in the setting of such thresholds. This approach also permits more objective assessment of high and very high fracture risk to enable physicians to make choices not just about the need to treat but what agents to use in individual patients. SUMMARY Like all clinical tools, FRAX has limitations that need to be considered, but the use of fracture risk in deciding who to treat, when to treat and what agent to use is a mechanism to target treatment equitably to those at an increased risk of fracture.
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Affiliation(s)
- Eugene McCloskey
- Division of Clinical Medicine, School of Medicine and Population Health
- Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK
| | - Andre T H Tan
- Fast and Chronic Programmes, Alexandra Hospital, Queenstown
- Division of Endocrinology, Department of Medicine, National University Health System, Singapore, Singapore
| | - Marian Schini
- Division of Clinical Medicine, School of Medicine and Population Health
- Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK
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Naseri A, Bakhshayeshkaram M, Salehi S, Heydari ST, Dabbaghmanesh MH, Dabbaghmanesh MM. FRAX-derived intervention and assessment thresholds for osteoporosis in ten Middle Eastern countries. Arch Osteoporos 2024; 19:41. [PMID: 38780743 DOI: 10.1007/s11657-024-01397-0] [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: 11/25/2023] [Accepted: 05/01/2024] [Indexed: 05/25/2024]
Abstract
This study established FRAX-based age-specific assessment and intervention thresholds for ten Middle Eastern countries where FRAX is currently available, but the lack of specific thresholds has limited its usefulness. The intervention thresholds ranged from 0.6 (Saudi Arabia) to 36.0% (Syria) at the ages of 40 and 90 years, respectively. INTRODUCTION Developing fracture risk assessment tools allows physicians to select patients for therapy based on their absolute fracture risk instead of relying solely on bone mineral density (BMD). The most widely used tool is FRAX, currently available in ten Middle Eastern countries. This study aimed to set FRAX-derived assessment and intervention thresholds for individuals aged 40 or above in ten Middle Eastern countries. METHODS The age-specific 10-year probabilities of a major osteoporotic fracture (MOF) for a woman with a BMI of 25.0 kg/m2, without BMD and clinical risk factors except for prior fracture, were calculated as intervention Threshold (IT). The upper and lower assessment thresholds were set at 1.2 times the IT and an age-specific 10-year probability of a MOF in a woman with a BMI of 25.0 kg/m2, without BMD, prior fracture, and other clinical risk factors, respectively. IT is utilized to determine treatment or reassurance when BMD facilities are unavailable. However, with BMD facilities, assessment thresholds can offer treatment, reassurance, or bone densitometry based on MOF probability. RESULTS The age-specific IT varied from 0.9 to 11.0% in Abu Dhabi, 2.9 to 10% in Egypt, 2.7 to 14.0% in Iran, 1.0 to 28.0% in Jordan, 2.7 to 27.0% in Kuwait, 0.9 to 35.0% in Lebanon, 1.0 to 16.0% in Palestine, 4.1 to 14% in Qatar, 0.6 to 3.7% in Saudi Arabia, and 0.9 to 36.0% in Syria at the age of 40 and 90 years, respectively. CONCLUSIONS FRAX-based IT in Middle Eastern countries provides an opportunity to identify individuals with high fracture risk.
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Affiliation(s)
- Arzhang Naseri
- Endocrinology and Metabolism Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Marzieh Bakhshayeshkaram
- Endocrinology and Metabolism Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Sara Salehi
- Endocrinology and Metabolism Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Seyed Taghi Heydari
- Health Policy Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Mohammad Hossein Dabbaghmanesh
- Endocrinology and Metabolism Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
- Shiraz University of Medical Sciences, Shiraz, Iran.
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Konno S, Uchi T, Kihara H, Sugimoto H. Ten-year fracture risk in Japanese patients with myasthenia gravis: A comprehensive assessment using the fracture risk assessment tool. J Neurol Sci 2024; 460:123017. [PMID: 38640581 DOI: 10.1016/j.jns.2024.123017] [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: 03/07/2024] [Revised: 04/11/2024] [Accepted: 04/12/2024] [Indexed: 04/21/2024]
Abstract
BACKGROUND Myasthenia gravis (MG) is an immune disorder that causes muscle weakness with an increasing prevalence, particularly among the elderly in Japan. Glucocorticoid treatment for MG is problematic for bone health because of reduced bone density and increased fracture risk. The fracture risk assessment tool (FRAX®) can estimate fracture risk, but its applicability in patients with MG remains uncertain. METHODS A prospective cohort study was conducted on 54 patients with MG between April and July 2012. Bone mineral density (BMD) was measured, and FRAX® scores were calculated with and without BMD. We also adjusted FRAX® scores based on glucocorticoid dosage. Patients were monitored for major osteoporotic fractures (MOF) until June 2022. Statistical analyses included Kaplan-Meier curves and Cox proportional hazards models. RESULTS The study group included 12 men and 42 women with a mean age of 62 years. Higher FRAX® scores correlated with increased fracture risk, particularly in the hip and lumbar regions. The 10-year fracture-free rate was significantly lower in the high-FRAX® score group. The FRAX® score using BMD is a significant predictor of MOF risk. The hazard ratio for FRAX® scores was 1.17 (95% CI 1.10-1.26). CONCLUSION We demonstrated the effectiveness of the FRAX® tool in assessing fracture risk among patients with MG. High FRAX® scores correlated with increased fracture risk, emphasizing its importance. These findings support the incorporation of FRAX® assessment into clinical management to enhance patient care and outcomes. However, the small sample size and observational nature suggest a need for further research.
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Affiliation(s)
- Shingo Konno
- Department of Neurology, Toho University Ohashi Medical Center, Tokyo 153-8515, Japan.
| | - Takafumi Uchi
- Department of Neurology, Toho University Ohashi Medical Center, Tokyo 153-8515, Japan
| | - Hideo Kihara
- Department of Neurology, Toho University Ohashi Medical Center, Tokyo 153-8515, Japan
| | - Hideki Sugimoto
- Department of Neurology, Toho University Ohashi Medical Center, Tokyo 153-8515, Japan
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Li CC, Liu IT, Cheng TT, Liang FW, Sun ZJ, Chang YF, Chang CS, Yang YC, Lu TH, Kuo LC, Wu CH. Decomposing and simplifying the Fracture Risk Assessment Tool-a module from the Taiwan-specific calculator. JBMR Plus 2024; 8:ziae039. [PMID: 38644977 PMCID: PMC11032218 DOI: 10.1093/jbmrpl/ziae039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Revised: 02/26/2024] [Accepted: 03/08/2024] [Indexed: 04/23/2024] Open
Abstract
The Fracture Risk Assessment Tool (FRAX®) is a widely utilized country-specific calculator for identifying individuals with high fracture risk; its score is calculated from 12 variables, but its formulation is not publicly disclosed. We aimed to decompose and simplify the FRAX® by utilizing a nationwide community survey database as a reference module for creating a local assessment tool for osteoporotic fracture community screening in any country. Participants (n = 16384; predominantly women (75%); mean age = 64.8 years) were enrolled from the Taiwan OsteoPorosis Survey, a nationwide cross-sectional community survey collected from 2008 to 2011. We identified 11 clinical risk factors from the health questionnaires. BMD was assessed via dual-energy X-ray absorptiometry in a mobile DXA vehicle, and 10-year fracture risk scores, including major osteoporotic fracture (MOF) and hip fracture (HF) risk scores, were calculated using the FRAX®. The mean femoral neck BMD was 0.7 ± 0.1 g/cm2, the T-score was -1.9 ± 1.2, the MOF was 8.9 ± 7.1%, and the HF was 3.2 ± 4.7%. Following FRAX® decomposition with multiple linear regression, the adjusted R2 values were 0.9206 for MOF and 0.9376 for HF when BMD was included and 0.9538 for MOF and 0.9554 for HF when BMD was excluded. The FRAX® demonstrated better prediction for women and younger individuals than for men and elderly individuals after sex and age stratification analysis. Excluding femoral neck BMD, age, sex, and previous fractures emerged as 3 primary clinical risk factors for simplified FRAX® according to the decision tree analysis in this study population. The adjusted R2 values for the simplified country-specific FRAX® incorporating 3 premier clinical risk factors were 0.8210 for MOF and 0.8528 for HF. After decomposition, the newly simplified module provides a straightforward formulation for estimating 10-year fracture risk, even without femoral neck BMD, making it suitable for community or clinical osteoporotic fracture risk screening.
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Affiliation(s)
- Chia-Chun Li
- Institute of Allied Health Sciences, College of Medicine, National Cheng Kung University, 701 Tainan, Taiwan
- Department of Family Medicine, College of Medicine, National Cheng Kung University, 701 Tainan, Taiwan
| | - I-Ting Liu
- Department of Family Medicine, E-DA Hospital, 824 Kaohsiung, Taiwan
- Department of Geriatric Medicine, E-DA Hospital, 824 Kaohsiung, Taiwan
- School of Medicine, College of Medicine, I-Shou University, 840 Kaohsiung, Taiwan
| | - Tien-Tsai Cheng
- Division of Rheumatology, Allergy and Immunology, Kaohsiung Chang Gung Memorial Hospital, 833 Kaohsiung, Taiwan
| | - Fu-Wen Liang
- Department of Public Health, College of Health Sciences, Kaohsiung Medical University, 807 Kaohsiung, Taiwan
| | - Zih-Jie Sun
- Division of Family Medicine, National Cheng Kung University Hospital Dou Liu Branch, 640 Yunlin, Taiwan
- Department of Family Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, 704 Tainan, Taiwan
| | - Yin-Fan Chang
- Department of Family Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, 704 Tainan, Taiwan
| | - Chin-Sung Chang
- Department of Family Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, 704 Tainan, Taiwan
| | - Yi-Ching Yang
- Department of Family Medicine, College of Medicine, National Cheng Kung University, 701 Tainan, Taiwan
- Department of Family Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, 704 Tainan, Taiwan
| | - Tsung-Hsueh Lu
- Department of Public Health, College of Medicine, National Cheng Kung University, 701 Tainan, Taiwan
| | - Li-Chieh Kuo
- Institute of Allied Health Sciences, College of Medicine, National Cheng Kung University, 701 Tainan, Taiwan
- Department of Occupational Therapy, College of Medicine, National Cheng Kung University, 701 Tainan, Taiwan
| | - Chih-Hsing Wu
- Department of Family Medicine, College of Medicine, National Cheng Kung University, 701 Tainan, Taiwan
- Department of Family Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, 704 Tainan, Taiwan
- Institute of Gerontology, College of Medicine, National Cheng Kung University, 701 Tainan, Taiwan
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Alboun SM, Khreisat E, Alawneh ZE, Bani Hani KM, Khreisat RF, Al-Mughrabi MA, Alshagoor BE, Alfarajat RI, Doumi MA, Cycline M. Best Bisphosphonate Threshold for 10-Year Vertebral and Non-vertebral Fracture Mitigation. Cureus 2024; 16:e59830. [PMID: 38846189 PMCID: PMC11156443 DOI: 10.7759/cureus.59830] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/07/2024] [Indexed: 06/09/2024] Open
Abstract
AIMS This study was aimed to determine the ideal thresholds for bone mineral densities in our tested Jordanian cohort to initiate bisphosphonate pharmacotherapeutics in order to establish a national protocol for prescribing bisphosphonates that is tailored to the local population, rather than relying on global T and Z scores standards. METHODS This retrospective study analyzed the entire population of adult patients at Prince Rashid bin Al-Hussein Hospital Rehabilitation and Rheumatology Center between August and October 2023 for the purpose of screening, monitoring, diagnosing, and treating osteoporosis. The study included 328 clients suspected to have osteoporosis, selected based on criteria such as primary osteoporosis or potential secondary osteoporosis. The study used two fracture risk assessment tools (FRAX) dichotomized states: <3% (negative state) and ≥3% (positive state), as well as <20% (negative state) and ≥20% (positive state). Binary logistic regression analysis, receiver-operating characteristic, and sensitivity analysis tests were performed sequentially to analyze the performance of prognosticators and sensitivity indices to evaluate their sensitivity, specificity, and accuracy indexes. RESULTS The study involved 328 clients at a rehabilitation clinic, with 82.62% (271) females and 17.38% (57) males. The majority were aged between 60 and 69 years, with a slightly higher obesity rate in females. The study found that initiation of bisphosphonates in Jordanian cohorts with optimal bone mineral density thresholds of 0.775 g/cm2 may significantly reduce the risk of hip osteoporosis over 10 years, with sensitivity, specificity, and accuracy indexes of 78.6%, 88.46%, and 50.61%, respectively, with a performance utility of 0.896±0.026 (p-value<0.001), 95% CI (0.846-0.946). CONCLUSION Due to ethnicity differences, exploring regional or national specific bone mineral density thresholds for bisphosphonates initiation may be a better optional choice than adopting global T-score standards.
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Affiliation(s)
- Samer M Alboun
- Rehabilitation and Rheumatology, Jordanian Royal Medical Services, Amman, JOR
| | - Eman Khreisat
- Family Medicine, King Hussein Medical Center, Amman, JOR
| | - Zaid E Alawneh
- Internal Medicine, Jordanian Royal Medical Services, Amman, JOR
| | - Khaled M Bani Hani
- Rehabilitation and Rheumatology, Jordanian Royal Medical Services, Amman, JOR
| | - Rania F Khreisat
- Rehabilitation and Rheumatology, Jordanian Royal Medical Services, Amman, JOR
| | | | - Bara'ah E Alshagoor
- Rehabilitation and Rheumatology, Jordanian Royal Medical Services, Amman, JOR
| | - Rabaa I Alfarajat
- Rehabilitation and Rheumatology, Jordanian Royal Medical Services, Amman, JOR
| | - Madher A Doumi
- Rehabilitation and Rheumatology, Jordanian Royal Medical Services, Amman, JOR
| | - Mino Cycline
- Research and Development, Jordanian Royal Medical Services, Amman, JOR
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Ratnasingam J, Niyaz M, Mariyappan S, Ong T, Chan SP, Hew FL, Yeap SS, Velaiutham S, Thambiah SC, Lekamwasam S. Age-dependent FRAX-based assessment and intervention thresholds for therapeutic decision making in osteoporosis in the Malaysian population. Arch Osteoporos 2024; 19:18. [PMID: 38503995 DOI: 10.1007/s11657-024-01371-w] [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: 08/13/2023] [Accepted: 02/27/2024] [Indexed: 03/21/2024]
Abstract
Fracture risk stratification is crucial in countries with limited access to bone density measurement. 24.8% women were in the high-risk category while 30.4% were in the low-risk category. In the intermediate risk group, after recalculation of fracture risk with bone density, 38.3% required treatment. In more than half, treatment decisions can be made without bone density. PURPOSE We aimed to examine the role of age-dependent intervention thresholds (ITs) applied to the Fracture Risk Assessment (FRAX) tool in therapeutic decision making for osteoporosis in the Malaysian population. METHODS Data were collated from 1380 treatment-naïve postmenopausal women aged 40-85 years who underwent bone mineral density (BMD) measurements for clinical reasons. Age-dependent ITs, for both major osteoporotic fracture (MOF) and hip fracture (HF), were calculated considering a woman with a BMI of 25 kg/m2, aged between 40 and 85years, with a prior fragility fracture, sans other clinical risk factors. Those with fracture probabilities equal to or above upper assessment thresholds (UATs) were considered to have high fracture risk. Those below the lower assessment thresholds (LATs) were considered to have low fracture risk. RESULTS The ITs of MOF and HF ranged from 0.7 to 18% and 0.2 to 8%, between 40 and 85years. The LATs of MOF ranged from 0.3 to 11%, while those of HF ranged from 0.1 to 5.2%. The UATs of MOF and HF were 0.8 to 21.6% and 0.2 to 9.6%, respectively. In this study, 24.8% women were in the high-risk category while 30.4% were in the low-risk category. Of the 44.8% (n=618) in the intermediate risk group, after recalculation of fracture risk with BMD input, 38.3% (237/618) were above the ITs while the rest (n=381, 61.7%) were below the ITs. Judged by the Youden Index, 11.5% MOF probability which was associated with a sensitivity of 0.62 and specificity of 0.83 and 4.0% HF probability associated with a sensitivity of 0.63 and a specificity 0.82 were found to be the most appropriate fixed ITs in this analysis. CONCLUSION Less than half of the study population (44.8%) required BMD for osteoporosis management when age-specific assessment thresholds were applied. Therefore, in more than half, therapeutic decisions can be made without BMD based on these assessment thresholds.
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Affiliation(s)
| | - Mariyam Niyaz
- Department of Medicine, Faculty of Medicine, University Malaya, Kuala Lumpur, Malaysia
| | - Shanmugam Mariyappan
- Department of Medicine, Faculty of Medicine, University Malaya, Kuala Lumpur, Malaysia
| | - Terence Ong
- Department of Medicine, Faculty of Medicine, University Malaya, Kuala Lumpur, Malaysia
| | - Siew Pheng Chan
- Department of Medicine, Faculty of Medicine, University Malaya, Kuala Lumpur, Malaysia
| | - Fen Lee Hew
- Puchong Specialist Clinic, Puchong, Malaysia
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Ye C, Schousboe JT, Morin SN, Lix LM, McCloskey EV, Johansson H, Harvey NC, Kanis JA, Leslie WD. FRAX predicts cardiovascular risk in women undergoing osteoporosis screening: the Manitoba bone mineral density registry. J Bone Miner Res 2024; 39:30-38. [PMID: 38630880 DOI: 10.1093/jbmr/zjad010] [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: 08/18/2023] [Revised: 10/31/2023] [Accepted: 11/14/2023] [Indexed: 04/19/2024]
Abstract
Osteoporosis and cardiovascular disease (CVD) are highly prevalent in older women, with increasing evidence for shared risk factors and pathogenesis. Although FRAX was developed for the assessment of fracture risk, we hypothesized that it might also provide information on CVD risk. To test the ability of the FRAX tool and FRAX-defined risk factors to predict incident CVD in women undergoing osteoporosis screening with DXA, we performed a retrospective prognostic cohort study which included women aged 50 yr or older with a baseline DXA scan in the Manitoba Bone Mineral Density Registry between March 31, 1999 and March 31, 2018. FRAX scores for major osteoporotic fracture (MOF) were calculated on all participants. Incident MOF and major adverse CV events (MACE; hospitalized acute myocardial infarction [AMI], hospitalized non-hemorrhagic cerebrovascular disease [CVA], or all-cause death) were ascertained from linkage to population-based healthcare data. The study population comprised 59 696 women (mean age 65.7 ± 9.4 yr). Over mean 8.7 yr of observation, 6021 (10.1%) had MOF, 12 277 women (20.6%) had MACE, 2274 (3.8%) had AMI, 2061 (3.5%) had CVA, and 10 253 (17.2%) died. MACE rates per 1000 person-years by FRAX risk categories low (10-yr predicted MOF <10%), moderate (10%-19.9%) and high (≥20%) were 13.5, 34.0, and 64.6, respectively. Although weaker than the association with incident MOF, increasing FRAX quintile was associated with increasing risk for MACE (all P-trend <.001), even after excluding prior CVD and adjusting for age. HR for MACE per SD increase in FRAX was 1.99 (95%CI, 1.96-2.02). All FRAX-defined risk factors (except parental hip fracture and lower BMI) were independently associated with higher non-death CV events. Although FRAX is intended for fracture risk prediction, it has predictive value for cardiovascular risk.
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Affiliation(s)
- Carrie Ye
- Division of Rheumatology, University of Alberta, Edmonton, AB T6G 2G3, Canada
| | - John T Schousboe
- Park Nicollet Clinic and HealthPartners Institute, Bloomington, MN 55425, United States
- Division of Health Policy and Management, University of Minnesota, Minneapolis, MN 55455, United States
| | - Suzanne N Morin
- Division of General Internal Medicine, Department of Medicine, McGill University, Montreal, QC, H3G 2M1, Canada
| | - Lisa M Lix
- Department of Community Health Sciences, University of Manitoba, Winnipeg, MB, R3E 0T6, Canada
| | - Eugene V McCloskey
- MRC Versus Arthritis Centre for Integrated Research in Musculoskeletal Ageing, Mellanby Centre for Musculoskeletal Research,Division of Clinical Medicine, School of Medicine and Population Health, University of Sheffield. Sheffield, SYK, S10 2TN, United Kingdom
- Department of Oncology & Metabolism, MRC Versus Arthritis Centre for Integrated Research in Musculoskeletal Ageing, University of Sheffield, Sheffield, SYK, S10 2TN, United Kingdom
| | - Helena Johansson
- MRC Versus Arthritis Centre for Integrated Research in Musculoskeletal Ageing, Mellanby Centre for Musculoskeletal Research,Division of Clinical Medicine, School of Medicine and Population Health, University of Sheffield. Sheffield, SYK, S10 2TN, United Kingdom
- Faculty of Health Sciences, Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, VIC 3000, Australia
| | - Nicholas C Harvey
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, Hampshire, SO16 6YD, United Kingdom
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, Hampshire, SO16 6YD, United Kingdom
| | - John A Kanis
- MRC Versus Arthritis Centre for Integrated Research in Musculoskeletal Ageing, Mellanby Centre for Musculoskeletal Research,Division of Clinical Medicine, School of Medicine and Population Health, University of Sheffield. Sheffield, SYK, S10 2TN, United Kingdom
- Faculty of Health Sciences, Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, VIC 3000, Australia
| | - William D Leslie
- Department of Oncology & Metabolism, MRC Versus Arthritis Centre for Integrated Research in Musculoskeletal Ageing, University of Sheffield, Sheffield, SYK, S10 2TN, United Kingdom
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Sucharitpongpan W. The optimal cut-off values of FRAX without BMD for predicting osteoporosis fracture risk in the older adults at Nan, Thailand. Osteoporos Sarcopenia 2024; 10:11-15. [PMID: 38690544 PMCID: PMC11056322 DOI: 10.1016/j.afos.2023.12.004] [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: 09/24/2023] [Revised: 11/21/2023] [Accepted: 12/31/2023] [Indexed: 05/02/2024] Open
Abstract
Objectives The World Health Organization developed the Fracture Risk Assessment Tool (FRAX) to assess the risk of having fragility fractures in the next 10 years. The FRAX tool is different by country, race, gender, and age. This study is a community-based study aiming to identify the optimal cut-off values of FRAX for the identification of older individuals who are at high risk of osteoporosis fractures in both genders. Methods This cross-sectional, analytic study was conducted by using health screening data of the older adults aged 60-90 living in the 3 biggest districts of Nan province, Thailand. Validity and optimal FRAX major osteoporotic fracture (MOF) and hip fracture (HF) cut-off values in both genders were determined. Results Of 36,042 older adults included in the study, 1624 older people had a history of fragility fractures. Older females were 3.2 and 2.5 times more likely to have fragility fractures and hip fractures than males, respectively. The optimal cut-off values of FRAX MOF for predicting fragility fractures were 3.0% for males and 6.3% for females. The optimal cut-off values of FRAX HF for predicting hip fractures were 1.1% for males and 3.3% for females. Conclusions A simple screening tool like the FRAX which is available in the annual health screening activities has the potential to be used to predict the risk of developing fragility fractures in rural areas of Thailand. Different cut-off values should be used in females and males because the risk of MOF and HF of both genders is significantly different.
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Schini M, Johansson H, Harvey NC, Lorentzon M, Kanis JA, McCloskey EV. An overview of the use of the fracture risk assessment tool (FRAX) in osteoporosis. J Endocrinol Invest 2024; 47:501-511. [PMID: 37874461 PMCID: PMC10904566 DOI: 10.1007/s40618-023-02219-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Accepted: 10/03/2023] [Indexed: 10/25/2023]
Abstract
FRAX®, a simple-to-use fracture risk calculator, was first released in 2008 and since then has been used increasingly worldwide. By calculating the 10-year probabilities of a major osteoporotic fracture and hip fracture, it assists clinicians when deciding whether further investigation, for example a bone mineral density measurement (BMD), and/or treatment is needed to prevent future fractures. In this review, we explore the literature around osteoporosis and how FRAX has changed its management. We present the characteristics of this tool and describe the use of thresholds (diagnostic and therapeutic). We also present arguments as to why screening with FRAX should be considered. FRAX has several limitations which are described in this review. This review coincides with the release of a version, FRAXplus, which addresses some of these limitations.
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Affiliation(s)
- M Schini
- Department of Oncology & Metabolism, Metabolic Bone Centre, Northern General Hospital, University of Sheffield, Herries Road, Sheffield, S5 7AU, UK.
| | - H Johansson
- Sahlgrenska Osteoporosis Centre, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
| | - N C Harvey
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospitals Southampton NHS Foundation Trust, Southampton, UK
| | - M Lorentzon
- Sahlgrenska Osteoporosis Centre, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
| | - J A Kanis
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
- Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK
| | - E V McCloskey
- Department of Oncology & Metabolism, Metabolic Bone Centre, Northern General Hospital, University of Sheffield, Herries Road, Sheffield, S5 7AU, UK
- Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK
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11
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Mazziotti G, Lania AG, Laganà M, Berruti A. Prediction of fragility fractures in men with prostate cancer under androgen deprivation therapy: the importance of a multidisciplinary approach using a mini-invasive diagnostic tool. Endocrine 2024; 83:594-596. [PMID: 38112923 DOI: 10.1007/s12020-023-03613-2] [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: 09/15/2023] [Accepted: 11/11/2023] [Indexed: 12/21/2023]
Abstract
Bone fragility in men who are treated with androgen deprivation therapy (ADT) has a complex pathophysiology that differs from that of primary and post-menopausal osteoporosis. Fracture risk assessment based on bone mineral density (BMD) and Fracture Risk Assessment Tool (FRAX) score might not be effective in this patient setting, since high frequency of fragility fractures has been reported even in subjects with low FRAX risk and normal BMD. In this paper we want to emphasize the importance in the individual assessment of bone fragility and prediction of fractures by measuring parameters of bone quality, assessing morphometric vertebral fractures and evaluating body composition that in subjects under hormone-deprivation therapies can play a crucial role. Noteworthy, a single mini-invasive diagnostic tool, i.e., the dual energy x-ray absorptiometry (DXA) scan, offers the opportunity to evaluate reliably parameters of bone quality (e.g., trabecular bone score) and body composition, besides measurement of BMD and assessment of vertebral fractures by a morphometric approach. This article highlights the values and cost-effectiveness of this mini-invasive tool in the context of multidisciplinary approach to subjects with prostate cancer under ADTs.
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Affiliation(s)
- G Mazziotti
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, Pieve Emanuele, 20072, Milan, Italy
- Endocrinology, Diabetology and Andrology Unit, IRCCS Humanitas Research Hospital, Via Manzoni 56, Rozzano, 20089, Milan, Italy
| | - A G Lania
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, Pieve Emanuele, 20072, Milan, Italy
- Endocrinology, Diabetology and Andrology Unit, IRCCS Humanitas Research Hospital, Via Manzoni 56, Rozzano, 20089, Milan, Italy
| | - Marta Laganà
- Medical Oncology Unit, Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, ASST Spedali Civili of Brescia, Brescia, Italy.
| | - Alfredo Berruti
- Medical Oncology Unit, Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, ASST Spedali Civili of Brescia, Brescia, Italy
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12
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Chen JF, Yu SF, Chiu WC, Ko CH, Hsu CY, Lai HM, Chen YC, Su YJ, Kang HY, Cheng TT. Development and Comparison of Treatment Decision Tools for Glucocorticoid-Induced Osteoporosis. Diagnostics (Basel) 2024; 14:452. [PMID: 38396490 PMCID: PMC10887529 DOI: 10.3390/diagnostics14040452] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Revised: 02/13/2024] [Accepted: 02/14/2024] [Indexed: 02/25/2024] Open
Abstract
Long-term Glucocorticoid (GC) use results in compromised bone strength and fractures, and several treatment recommendations have been developed to prevent fractures, but none have been validated in a real-world setting. This study aims to create a treatment decision tool and compares this tool to the treatment suggestions from the American College of Rheumatology (ACR), International Osteoporosis Foundation and European Calcified Tissue Society (IOF-ECTS), and GC-adjusted Fracture Risk Assessment Tool (GC-FRAX), above the intervention threshold. We utilized registry data gathered at Chang Gung Memorial Hospital at Kaohsiung, Taiwan, between September 2014 and April 2021. This research is a single-center, observational, and case-controlled study. We recruited participants using prednisone for at least 2.5 mg/day or the equivalent dose for over 3 months, excluding those younger than 40, those with malignancies, or those currently undergoing anti-osteoporosis therapy. The primary endpoint was new fragility fractures within 3 years, including morphometric vertebral fractures detected at baseline and with a follow-up thoracic-lumbar spine X-ray. Participants were randomly allocated into derivation and validation sets. We developed the Steroid-Associated Fracture Evaluation (SAFE) tool in the derivation cohort by assessing the weights of exploratory variables via logistic regression. Prediction performance was compared in the validation set by the receiver operating characteristic (ROC) curve, the area under the curve (AUC), and sensitivity and specificity. A total of 424 treatment-naïve subjects were enrolled, and 83 (19.6%) experienced new fractures within 3 years. The final formula of the SAFE tool includes osteoporosis (1 point), an accumulated GC dose ≥ 750 mg within 6 months (or equivalent prednisolone of ≥4.5 mg/day for 6 months) (1 point), a BMI ≥ 23.5 (1 point), previous fractures (1 point), and elderliness of ≥70 years (2 points). In the validation set, a treatment decision based on the SAFE ≥ 2 points demonstrated an AUC of 0.65, with a sensitivity/specificity/accuracy of 75.9/54.0/58.9, with an ACR of 0.56 (100.0/11.0/31.0), IOF-ECTS 0.61 (75.9/46.0/52.7), and GC-FRAX 0.62 (82.8/42.0/51.2). Among current GIOP recommendations, the SAFE score serves as an appropriate treatment decision tool with increased accuracy and specificity.
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Affiliation(s)
- Jia-Feng Chen
- Division of Rheumatology, Allergy, and Immunology, Department of Internal Medicine, College of Medicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University, Kaohsiung 833, Taiwan; (J.-F.C.)
- Graduate Institute of Clinical Medical Sciences, College of Medicine, Chang Gung University, Kaohsiung 833, Taiwan
| | - Shan-Fu Yu
- Division of Rheumatology, Allergy, and Immunology, Department of Internal Medicine, College of Medicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University, Kaohsiung 833, Taiwan; (J.-F.C.)
| | - Wen-Chan Chiu
- Division of Rheumatology, Allergy, and Immunology, Department of Internal Medicine, College of Medicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University, Kaohsiung 833, Taiwan; (J.-F.C.)
| | - Chi-Hua Ko
- Division of Rheumatology, Allergy, and Immunology, Department of Internal Medicine, College of Medicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University, Kaohsiung 833, Taiwan; (J.-F.C.)
| | - Chung-Yuan Hsu
- Division of Rheumatology, Allergy, and Immunology, Department of Internal Medicine, College of Medicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University, Kaohsiung 833, Taiwan; (J.-F.C.)
| | - Han-Ming Lai
- Division of Rheumatology, Allergy, and Immunology, Department of Internal Medicine, College of Medicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University, Kaohsiung 833, Taiwan; (J.-F.C.)
| | - Ying-Chou Chen
- Division of Rheumatology, Allergy, and Immunology, Department of Internal Medicine, College of Medicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University, Kaohsiung 833, Taiwan; (J.-F.C.)
| | - Yu-Jih Su
- Division of Rheumatology, Allergy, and Immunology, Department of Internal Medicine, College of Medicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University, Kaohsiung 833, Taiwan; (J.-F.C.)
| | - Hong-Yo Kang
- Graduate Institute of Clinical Medical Sciences, College of Medicine, Chang Gung University, Kaohsiung 833, Taiwan
- Center for Menopause and Reproductive Medicine Research, Department of Obstetrics and Gynecology, College of Medicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University, Kaohsiung 833, Taiwan
- Division of Endocrinology and Metabolism, Department of Internal Medicine, College of Medicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University, Kaohsiung 833, Taiwan
- Department of Biological Sciences, National Sun Yat-Sen University, Kaohsiung 804, Taiwan
| | - Tien-Tsai Cheng
- Division of Rheumatology, Allergy, and Immunology, Department of Internal Medicine, College of Medicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University, Kaohsiung 833, Taiwan; (J.-F.C.)
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Chattaris T, Yang L, Johansson H, Sahni S, Samelson EJ, Kiel DP, Berry SD. Performance of FRAX in older adults with frailty: the Framingham Heart Study. Osteoporos Int 2024; 35:265-275. [PMID: 37872347 PMCID: PMC10872348 DOI: 10.1007/s00198-023-06950-0] [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: 02/15/2023] [Accepted: 10/09/2023] [Indexed: 10/25/2023]
Abstract
We compared the performance of FRAX according to frailty status in 3554 individuals from the Framingham Study. During 10-year follow-up, 6.9% and 3.0% of participants with and without frailty experienced MOF. Discrimination profiles were lower in participants with frailty compared to those without, but they improved when FRAX included BMD. INTRODUCTION Frailty increases fracture risk. FRAX was developed to predict fractures but never validated in individuals with frailty. We aimed to compare the predictive performance of FRAX (v4.3) in individuals with and without frailty. METHODS We conducted a cohort study using the Framingham Heart Study. Frailty was defined by the Fried phenotype. Major osteoporotic fractures (MOF) were ascertained from medical records during 10-year follow-up. To evaluate discrimination and calibration of FRAX, we calculated the area-under-the-receiver-operating characteristics curves (AUC) using logistic regression models and observed-to-predicted fracture probabilities. Analyses were stratified by frailty status. RESULTS Frailty was present in 550/3554 (15.5%) of participants. Participants with frailty were older (81.1 vs. 67.6 years), female (68.6% vs. 55.1%), and had greater mean FRAX scores (MOF: 15.9% vs. 10.1%) than participants without frailty. During follow-up, 38 participants with frailty (6.9%) and 91 without (3.0%) had MOFs. The AUC for FRAX (without BMD) was lower in participants with frailty (0.584; 95% CI 0.504-0.663) compared to those without (0.695; 95% CI 0.649-0.741); p value = 0.02. Among participants with frailty, the AUC improved when FRAX included BMD (AUC 0.658, p value < 0.01). FRAX overestimated MOF risk, with larger overestimations in individuals without frailty. Performance of FRAX for hip fracture was similar. CONCLUSION FRAX may have been less able to identify frail individuals at risk for fracture, as compared with individuals without frailty, unless information on BMD is available. This suggests that BMD captures features important for fracture prediction in frail persons. Future fracture prediction models should be developed among persons with frailty.
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Affiliation(s)
- Tanchanok Chattaris
- Department of Medicine, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Nakhon Pathom, Thailand
- Hinda and Arthur Marcus Institute for Aging Research and Department of Medicine, Hebrew SeniorLife, 1200 Centre Street, Boston, MA, 02131, USA
| | - Laiji Yang
- Hinda and Arthur Marcus Institute for Aging Research and Department of Medicine, Hebrew SeniorLife, 1200 Centre Street, Boston, MA, 02131, USA
| | | | - Shivani Sahni
- Hinda and Arthur Marcus Institute for Aging Research and Department of Medicine, Hebrew SeniorLife, 1200 Centre Street, Boston, MA, 02131, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Elizabeth J Samelson
- Hinda and Arthur Marcus Institute for Aging Research and Department of Medicine, Hebrew SeniorLife, 1200 Centre Street, Boston, MA, 02131, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Douglas P Kiel
- Hinda and Arthur Marcus Institute for Aging Research and Department of Medicine, Hebrew SeniorLife, 1200 Centre Street, Boston, MA, 02131, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Sarah D Berry
- Hinda and Arthur Marcus Institute for Aging Research and Department of Medicine, Hebrew SeniorLife, 1200 Centre Street, Boston, MA, 02131, USA.
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
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14
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Cosentini D, Pedersini R, Di Mauro P, Zamparini M, Schivardi G, Rinaudo L, Di Meo N, Del Barba A, Cappelli C, Laganà M, Alberti A, Baronchelli M, Guerci G, Laini L, Grisanti S, Simoncini EL, Farina D, Mazziotti G, Berruti A. Fat Body Mass and Vertebral Fracture Progression in Women With Breast Cancer. JAMA Netw Open 2024; 7:e2350950. [PMID: 38198137 PMCID: PMC10782249 DOI: 10.1001/jamanetworkopen.2023.50950] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/23/2023] [Accepted: 11/20/2023] [Indexed: 01/11/2024] Open
Abstract
Importance Women with early breast cancer (EBC) exposed to aromatase inhibitors (AIs) may experience fragility fractures despite treatment with bone-active drugs. Risk factors for fractures in patients receiving AIs and denosumab have not been explored to date. Objectives To evaluate whether an association exists between dual x-ray absorptiometry (DXA)-measured fat body mass (FBM) and vertebral fracture (VF) progression in postmenopausal women with EBC undergoing adjuvant therapy with AIs in combination with denosumab and to examine whether VF was associated with common risk factors for bone fracture and parameters of body composition other than FBM. Design, Setting, and Participants For this prospective, single-center, cohort study, 237 patients with EBC who were undergoing adjuvant treatment with AIs and denosumab (60 mg every 6 months) were enrolled at the Breast Unit of the ASST Spedali Civili of Brescia from September 2014 to June 2018. Data analysis was conducted in June 2022. Exposure Body composition parameters, bone mineral density, and morphometric VFs were assessed by DXA at study entry and after 18 months of therapy. Main Outcomes and Measures VF progression, defined as either new or worsening of preexisting VFs, between the 2 time points. Results Of the 237 patients enrolled (median [range] age, 61 [28-84] years), 17 (4.4%) reported VF progression. Univariable analysis found an association between VF progression and a history of clinical fractures (odds ratio [OR], 3.22; 95% CI, 1.19-8.74; P = .02), Fracture Risk Assessment Tool (FRAX) score for major fractures (OR, 4.42; 95% CI, 1.23-13.79; P = .04), percentage of FBM (OR, 6.04; 95% CI, 1.69-21.63; P = .006), and android fat (OR, 9.58; 95% CI, 1.17-78.21; P = .04) and an inverse association with appendicular lean mass index-FBM ratio (OR, 0.25, 95% CI, 0.08-0.82; P = .02). Multivariable analysis revealed percentage of FBM (OR, 5.41; 95% CI, 1.49-19.59; P = .01) and FRAX score (OR, 3.95; 95% CI, 1.09-14.39; P = .04) as independent variables associated with VF progression. Conclusions and Relevance The findings of this study suggest that baseline FBM is an independent factor for VF progression in patients with EBC treated with adjuvant AIs and denosumab. This observation is new and indicates that diet and exercise may synergize with denosumab in the management of bone health in this patient setting.
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Affiliation(s)
- Deborah Cosentini
- Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, Medical Oncology, University of Brescia, ASST Spedali Civili, Brescia, Italy
| | - Rebecca Pedersini
- Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, Medical Oncology, University of Brescia, ASST Spedali Civili, Brescia, Italy
- SSVD Breast Unit, ASST Spedali Civili of Brescia, Brescia, Italy
| | - Pierluigi Di Mauro
- Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, Medical Oncology, University of Brescia, ASST Spedali Civili, Brescia, Italy
| | - Manuel Zamparini
- Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, Medical Oncology, University of Brescia, ASST Spedali Civili, Brescia, Italy
| | - Greta Schivardi
- Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, Medical Oncology, University of Brescia, ASST Spedali Civili, Brescia, Italy
| | | | - Nunzia Di Meo
- Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, Radiology, University of Brescia, ASST Spedali Civili, Brescia, Italy
| | - Andrea Del Barba
- Department of Experimental Sciences, Unit of Endocrinology and Metabolism, University of Brescia, ASST Spedali Civili, Brescia, Italy
| | - Carlo Cappelli
- Department of Experimental Sciences, Unit of Endocrinology and Metabolism, University of Brescia, ASST Spedali Civili, Brescia, Italy
| | - Marta Laganà
- Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, Medical Oncology, University of Brescia, ASST Spedali Civili, Brescia, Italy
| | - Andrea Alberti
- Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, Medical Oncology, University of Brescia, ASST Spedali Civili, Brescia, Italy
| | - Maria Baronchelli
- Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, Medical Oncology, University of Brescia, ASST Spedali Civili, Brescia, Italy
| | - Greta Guerci
- Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, Medical Oncology, University of Brescia, ASST Spedali Civili, Brescia, Italy
| | - Lara Laini
- Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, Medical Oncology, University of Brescia, ASST Spedali Civili, Brescia, Italy
| | - Salvatore Grisanti
- Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, Medical Oncology, University of Brescia, ASST Spedali Civili, Brescia, Italy
| | | | - Davide Farina
- Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, Radiology, University of Brescia, ASST Spedali Civili, Brescia, Italy
| | - Gherardo Mazziotti
- Department of Biomedical Sciences, Humanitas University, Milan, Italy
- Endocrinology, Diabetology and Medical Andrology Unit, Metabolic Bone Diseases and Osteoporosis Section, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
| | - Alfredo Berruti
- Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, Medical Oncology, University of Brescia, ASST Spedali Civili, Brescia, Italy
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15
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Hamoda H, Sharma A. Premature ovarian insufficiency, early menopause, and induced menopause. Best Pract Res Clin Endocrinol Metab 2024; 38:101823. [PMID: 37802711 DOI: 10.1016/j.beem.2023.101823] [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] [Indexed: 10/08/2023]
Abstract
Premature ovarian insufficiency (POI) is a condition in which there is a decline in ovarian function in women who are younger than 40 years resulting in a hypo-oestrogenic state with elevated gonadotrophins and oligomenorrhoea/amenorrhoea. This leads to short term complications of menopausal symptoms and long-term effects on bone and cardiovascular health, cognition as well as the impact of reduced fertility and sexual function associated with this condition. It is managed by sex steroid replacement either with HRT or combined hormonal contraception until the age of natural menopause (51) and this can provide a beneficial role with both symptom control and minimising the long-term adverse effects associated with this condition. Women who undergo a menopause between 40 and 45 years are deemed to have an "early menopause". The limited data available for this group suggest that they also have an increased morbidity if not adequately treated with hormone therapy. As such, women who have an early menopause should be managed in a similar way to those with POI, with the recommendation that they should take HRT at least until the natural age of menopause. This is the same for induced menopause that is caused by medical or surgical treatment that impacts the ovaries. It is important to ensure early diagnosis and access to specialist care to help support and manage these patients to reduce the symptoms and risks of long-term complications. This review looks at the diagnosis, causes, short and long-term complications and management of POI, early and induced menopause.
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Affiliation(s)
- Haitham Hamoda
- Clinical Lead Menopause Service, King's College Hospital, Denmark Hill, London SE5 9RS, UK.
| | - Angela Sharma
- (GP Partner) Pembridge Villas Surgery, 45 Pembridge Villas, London W11 3EP, UK.
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16
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Su Y, Zhou B, Kwok T. Fracture risk prediction in old Chinese people-a narrative review. Arch Osteoporos 2023; 19:3. [PMID: 38110842 DOI: 10.1007/s11657-023-01360-5] [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: 07/31/2023] [Accepted: 12/01/2023] [Indexed: 12/20/2023]
Abstract
With aging, the burden of osteoporotic fracture (OF) increases substantially, while China is expected to carry the greatest part in the future. The risk of fracture varies greatly across racial groups and geographic regions, and systematically organized evidence on the potential predictors for fracture risk is needed for Chinese. This review briefly introduces the epidemiology of OF and expands on the predictors and predictive tools for the risk of OF, as well as the challenges for their potential translation in the old Chinese population. There are regional differences of fracture incidence among China. The fracture incidences in Hong Kong and Taiwan have decreased in recent years, while it is still increasing in mainland China. Although the application of dual-energy X-ray absorptiometry (DXA) is limited among old Chinese in the mainland, bone mineral density (BMD) by DXA has a predictive value similar to that worldwide. Other non-DXA modalities, especially heel QUS, are helpful in assessing bone health. The fracture risk assessment tool (FRAX) has a good discrimination ability for OFs, especially the FRAX with BMD. And some clinical factors have added value to FRAX, which has been verified in old Chinese. In addition, although the application of the osteoporosis self-assessment tool for Asians (OSTA) in Chinese needs further validation, it may help identify high-risk populations in areas with limited resources. Moreover, the translation use of the muscle quality and genetic or serum biomarkers in fracture prediction needs further works. More applicable and targeted fracture risk predictors and tools are still needed for the old Chinese population.
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Affiliation(s)
- Yi Su
- Key Laboratory of Molecular Epidemiology of Hunan Province, School of Medicine, Hunan Normal University, Changsha, 410013, Hunan, China
| | - Bei Zhou
- Key Laboratory of Molecular Epidemiology of Hunan Province, School of Medicine, Hunan Normal University, Changsha, 410013, Hunan, China
| | - Timothy Kwok
- Department of Medicine & Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, SAR, China.
- Jockey Club Centre for Osteoporosis Care and Control, The Chinese University of Hong Kong, Hong Kong, SAR, China.
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17
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Kanis JA, Johansson H, McCloskey EV, Liu E, Åkesson KE, Anderson FA, Azagra R, Bager CL, Beaudart C, Bischoff-Ferrari HA, Biver E, Bruyère O, Cauley JA, Center JR, Chapurlat R, Christiansen C, Cooper C, Crandall CJ, Cummings SR, da Silva JAP, Dawson-Hughes B, Diez-Perez A, Dufour AB, Eisman JA, Elders PJM, Ferrari S, Fujita Y, Fujiwara S, Glüer CC, Goldshtein I, Goltzman D, Gudnason V, Hall J, Hans D, Hoff M, Hollick RJ, Huisman M, Iki M, Ish-Shalom S, Jones G, Karlsson MK, Khosla S, Kiel DP, Koh WP, Koromani F, Kotowicz MA, Kröger H, Kwok T, Lamy O, Langhammer A, Larijani B, Lippuner K, Mellström D, Merlijn T, Nordström A, Nordström P, O'Neill TW, Obermayer-Pietsch B, Ohlsson C, Orwoll ES, Pasco JA, Rivadeneira F, Schott AM, Shiroma EJ, Siggeirsdottir K, Simonsick EM, Sornay-Rendu E, Sund R, Swart KMA, Szulc P, Tamaki J, Torgerson DJ, van Schoor NM, van Staa TP, Vila J, Wareham NJ, Wright NC, Yoshimura N, Zillikens MC, Zwart M, Vandenput L, Harvey NC, Lorentzon M, Leslie WD. Previous fracture and subsequent fracture risk: a meta-analysis to update FRAX. Osteoporos Int 2023; 34:2027-2045. [PMID: 37566158 PMCID: PMC7615305 DOI: 10.1007/s00198-023-06870-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Accepted: 07/22/2023] [Indexed: 08/12/2023]
Abstract
A large international meta-analysis using primary data from 64 cohorts has quantified the increased risk of fracture associated with a previous history of fracture for future use in FRAX. INTRODUCTION The aim of this study was to quantify the fracture risk associated with a prior fracture on an international basis and to explore the relationship of this risk with age, sex, time since baseline and bone mineral density (BMD). METHODS We studied 665,971 men and 1,438,535 women from 64 cohorts in 32 countries followed for a total of 19.5 million person-years. The effect of a prior history of fracture on the risk of any clinical fracture, any osteoporotic fracture, major osteoporotic fracture, and hip fracture alone was examined using an extended Poisson model in each cohort. Covariates examined were age, sex, BMD, and duration of follow-up. The results of the different studies were merged by using the weighted β-coefficients. RESULTS A previous fracture history, compared with individuals without a prior fracture, was associated with a significantly increased risk of any clinical fracture (hazard ratio, HR = 1.88; 95% CI = 1.72-2.07). The risk ratio was similar for the outcome of osteoporotic fracture (HR = 1.87; 95% CI = 1.69-2.07), major osteoporotic fracture (HR = 1.83; 95% CI = 1.63-2.06), or for hip fracture (HR = 1.82; 95% CI = 1.62-2.06). There was no significant difference in risk ratio between men and women. Subsequent fracture risk was marginally downward adjusted when account was taken of BMD. Low BMD explained a minority of the risk for any clinical fracture (14%), osteoporotic fracture (17%), and for hip fracture (33%). The risk ratio for all fracture outcomes related to prior fracture decreased significantly with adjustment for age and time since baseline examination. CONCLUSION A previous history of fracture confers an increased risk of fracture of substantial importance beyond that explained by BMD. The effect is similar in men and women. Its quantitation on an international basis permits the more accurate use of this risk factor in case finding strategies.
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Affiliation(s)
- J A Kanis
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia.
- Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK.
| | - H Johansson
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
- Sahlgrenska Osteoporosis Centre, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
| | - E V McCloskey
- Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK
- MRC Versus Arthritis Centre for Integrated research in Musculoskeletal Ageing, Mellanby Centre for Musculoskeletal Research, University of Sheffield, Sheffield, UK
| | - E Liu
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
| | - K E Åkesson
- Clinical and Molecular Osteoporosis Research Unit, Department of Clinical Sciences, Lund University, Lund, Sweden
- Department of Orthopedics, Skåne University Hospital, Malmö, Sweden
| | - F A Anderson
- GLOW Coordinating Center, Center for Outcomes Research, University of Massachusetts Medical School, Worcester, MA, USA
| | - R Azagra
- Department of Medicine, Autonomous University of Barcelona, Barcelona, Spain
- Health Centre Badia del Valles, Catalan Institute of Health, Barcelona, Spain
- PRECIOSA-Fundación para la investigación, Barberà del Vallés, Barcelona, Spain
| | - C L Bager
- Nordic Bioscience A/S, Herlev, Denmark
| | - C Beaudart
- WHO Collaborating Centre for Public Health Aspects of Musculoskeletal Health and Aging, Division of Public Health, Epidemiology and Health Economics, University of Liège, Liège, Belgium
- Department of Health Services Research, University of Maastricht, Maastricht, the Netherlands
| | - H A Bischoff-Ferrari
- Department of Aging Medicine and Aging Research, University Hospital, Zurich, and University of Zurich, Zurich, Switzerland
- Centre on Aging and Mobility, University of Zurich and City Hospital, Zurich, Switzerland
| | - E Biver
- Division of Bone Diseases, Department of Medicine, Geneva University Hospitals and Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - O Bruyère
- WHO Collaborating Centre for Public Health Aspects of Musculoskeletal Health and Aging, Division of Public Health, Epidemiology and Health Economics, University of Liège, Liège, Belgium
| | - J A Cauley
- Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, Philadelphia, USA
| | - J R Center
- Skeletal Diseases Program, Garvan Institute of Medical Research, Sydney, NSW, Australia
- St Vincent's Clinical School, School of Medicine and Health, University of New South Wales Sydney, Sydney, NSW, Australia
- School of Medicine Sydney, University of Notre Dame Australia, Sydney, NSW, Australia
| | - R Chapurlat
- INSERM UMR 1033, Université Claude Bernard-Lyon1, Hôpital Edouard Herriot, Lyon, France
| | | | - C Cooper
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospitals Southampton NHS Foundation Trust, Southampton, UK
- NIHR Oxford Biomedical Research Unit, University of Oxford, Oxford, UK
| | - C J Crandall
- Division of General Internal Medicine and Health Services Research, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - S R Cummings
- San Francisco Coordinating Center, California Pacific Medical Center Research Institute, San Francisco, CA, USA
| | - J A P da Silva
- Coimbra Institute for Clinical and Biomedical Research, Faculty of Medicine, University of Coimbra, Coimbra, Portugal
- Rheumatology Department, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal
| | - B Dawson-Hughes
- Bone Metabolism Laboratory, Jean Mayer US Department of Agriculture Human Nutrition Research Center on Aging, Tufts University, Boston, MA, USA
| | - A Diez-Perez
- Department of Internal Medicine, Hospital del Mar and CIBERFES, Autonomous University of Barcelona, Barcelona, Spain
| | - A B Dufour
- Marcus Institute for Aging Research, Hebrew Senior Life, Boston, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
| | - J A Eisman
- Skeletal Diseases Program, Garvan Institute of Medical Research, Sydney, NSW, Australia
- St Vincent's Clinical School, School of Medicine and Health, University of New South Wales Sydney, Sydney, NSW, Australia
- School of Medicine Sydney, University of Notre Dame Australia, Sydney, NSW, Australia
| | - P J M Elders
- Petra JM Elders Department of General Practice, Amsterdam UMC, location AMC, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - S Ferrari
- Division of Bone Diseases, Department of Medicine, Geneva University Hospitals and Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Y Fujita
- Center for Medical Education and Clinical Training, Kindai University Faculty of Medicine, Osaka, Japan
| | - S Fujiwara
- Department of Pharmacy, Yasuda Women's University, Hiroshima, Japan
| | - C-C Glüer
- Section Biomedical Imaging, Molecular Imaging North Competence Center, Department of Radiology and Neuroradiology, University Medical Center Schleswig-Holstein Kiel, Kiel University, Kiel, Germany
| | - I Goldshtein
- Maccabitech Institute of Research and Innovation, Maccabi Healthcare Services, Tel Aviv, Israel
- Department of Epidemiology and Preventive Medicine, School of Public Health, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - D Goltzman
- Department of Medicine, McGill University and McGill University Health Centre, Montreal, Canada
| | - V Gudnason
- Icelandic Heart Association, Kopavogur, Iceland
- University of Iceland, Reykjavik, Iceland
| | - J Hall
- MRC Centre for Reproductive Health, University of Edinburgh, Edinburgh, UK
| | - D Hans
- Interdisciplinary Centre of Bone Diseases, Bone and Joint Department, Lausanne University Hospital (CHUV) & University of Lausanne, Lausanne, Switzerland
| | - M Hoff
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Rheumatology, St Olavs Hospital, Trondheim, Norway
| | - R J Hollick
- Aberdeen Centre for Arthritis and Musculoskeletal Health, Epidemiology Group, University of Aberdeen, Aberdeen, UK
| | - M Huisman
- Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, The Netherlands
- Department of Sociology, VU University, Amsterdam, The Netherlands
| | - M Iki
- Department of Public Health, Kindai University Faculty of Medicine, Osaka, Japan
| | - S Ish-Shalom
- Endocrine Clinic, Elisha Hospital, Haifa, Israel
| | - G Jones
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - M K Karlsson
- Clinical and Molecular Osteoporosis Research Unit, Department of Clinical Sciences, Lund University, Lund, Sweden
- Department of Orthopedics, Skåne University Hospital, Malmö, Sweden
| | - S Khosla
- Robert and Arlene Kogod Center on Aging and Division of Endocrinology, Mayo Clinic College of Medicine, Mayo Clinic, Rochester, MN, USA
| | - D P Kiel
- Marcus Institute for Aging Research, Hebrew Senior Life, Boston, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
| | - W-P Koh
- Healthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research (A*STAR), Singapore, Singapore
| | - F Koromani
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - M A Kotowicz
- IMPACT (Institute for Mental and Physical Health and Clinical Translation), Deakin University, Geelong, Victoria, Australia
- Barwon Health, Geelong, Victoria, Australia
- Department of Medicine -Western Health, The University of Melbourne, St Albans, Victoria, Australia
| | - H Kröger
- Department of Orthopedics and Traumatology, Kuopio University Hospital, Kuopio, Finland
- Kuopio Musculoskeletal Research Unit, University of Eastern Finland, Kuopio, Finland
| | - T Kwok
- Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, Hong Kong
- Jockey Club Centre for Osteoporosis Care and Control, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, Hong Kong
| | - O Lamy
- Centre of Bone Diseases, Lausanne University Hospital, Lausanne, Switzerland
- Service of Internal Medicine, Lausanne University Hospital, Lausanne, Switzerland
| | - A Langhammer
- HUNT Research Centre, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
| | - B Larijani
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - K Lippuner
- Department of Osteoporosis, Bern University Hospital, University of Bern, Bern, Switzerland
| | - D Mellström
- Geriatric Medicine, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Geriatric Medicine, Sahlgrenska University Hospital Mölndal, Mölndal, Sweden
| | - T Merlijn
- Department of General Practice, Amsterdam UMC, location AMC, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - A Nordström
- School of Sport Sciences, UiT The Arctic University of Norway, Tromsø, Norway
- Department of Health Sciences, Swedish Winter Sports Research Centre, Mid Sweden University, Östersund, Sweden
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - P Nordström
- Department of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden
| | - T W O'Neill
- National Institute for Health Research Manchester Biomedical Research Centre, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
- Centre for Epidemiology Versus Arthritis, University of Manchester, Manchester, UK
| | - B Obermayer-Pietsch
- Department of Internal Medicine, Division of Endocrinology and Diabetology, Medical University Graz, Graz, Austria
- Center for Biomarker Research in Medicine, Graz, Austria
| | - C Ohlsson
- Sahlgrenska Osteoporosis Centre, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Drug Treatment, Sahlgrenska University Hospital, Region Västra Götaland, Gothenburg, Sweden
| | - E S Orwoll
- Department of Medicine, Oregon Health and Science University, Portland, OR, USA
| | - J A Pasco
- IMPACT (Institute for Mental and Physical Health and Clinical Translation), Deakin University, Geelong, Victoria, Australia
- Barwon Health, Geelong, Victoria, Australia
- Department of Medicine -Western Health, The University of Melbourne, St Albans, Victoria, Australia
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia
| | - F Rivadeneira
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - A-M Schott
- Université Claude Bernard Lyon 1, U INSERM 1290 RESHAPE, Lyon, France
| | - E J Shiroma
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Baltimore, MD, USA
| | - K Siggeirsdottir
- Icelandic Heart Association, Kopavogur, Iceland
- Janus Rehabilitation, Reykjavik, Iceland
| | - E M Simonsick
- Translational Gerontology Branch, National Institute on Aging Intramural Research Program, Baltimore, MD, USA
| | - E Sornay-Rendu
- INSERM UMR 1033, University of Lyon, Hôpital Edouard Herriot, Lyon, France
| | - R Sund
- Kuopio Musculoskeletal Research Unit, University of Eastern Finland, Kuopio, Finland
| | - K M A Swart
- Petra JM Elders Department of General Practice, Amsterdam UMC, location AMC, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
- PHARMO Institute for Drug Outcomes Research, Utrecht, The Netherlands
| | - P Szulc
- INSERM UMR 1033, University of Lyon, Hôpital Edouard Herriot, Lyon, France
| | - J Tamaki
- Department of Hygiene and Public Health, Faculty of Medicine, Educational Foundation of Osaka Medical and Pharmaceutical University, Osaka, Japan
| | - D J Torgerson
- York Trials Unit, Department of Health Sciences, University of York, York, UK
| | - N M van Schoor
- Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, The Netherlands
| | - T P van Staa
- Centre for Health Informatics, Faculty of Biology, Medicine and Health, School of Health Sciences, University of Manchester, Manchester, UK
| | - J Vila
- Statistics Support Unit, Hospital del Mar Medical Research Institute, CIBER Epidemiology and Public Health (CIBERESP), Barcelona, Spain
| | - N J Wareham
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - N C Wright
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - N Yoshimura
- Department of Preventive Medicine for Locomotive Organ Disorders, The University of Tokyo Hospital, Tokyo, Japan
| | - M C Zillikens
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - M Zwart
- PRECIOSA-Fundación para la investigación, Barberà del Vallés, Barcelona, Spain
- Health Center Can Gibert del Plà, Catalan Institute of Health, Girona, Spain
- Department of Medical Sciences, University of Girona, Girona, Spain
- GROIMAP/GROICAP (research groups), Unitat de Suport a la Recerca Girona, Institut Universitari d'Investigació en Atenció Primària Jordi Gol, Girona, Spain
| | - L Vandenput
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
- Sahlgrenska Osteoporosis Centre, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - N C Harvey
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospitals Southampton NHS Foundation Trust, Southampton, UK
| | - M Lorentzon
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
- Sahlgrenska Osteoporosis Centre, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
| | - W D Leslie
- Department of Medicine, University of Manitoba, Winnipeg, Manitoba, Canada
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Poduval M, Kambhampati SBS, Vishwanathan K. A Review of Various Clinical Practice Guidelines on Osteoporosis in the Last 5 Years. Indian J Orthop 2023; 57:7-24. [PMID: 38107812 PMCID: PMC10721745 DOI: 10.1007/s43465-023-01031-0] [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: 09/04/2023] [Accepted: 10/21/2023] [Indexed: 12/19/2023]
Abstract
Background Osteoporosis, also called the silent disease, affects the elderly with a significant contribution to their morbidity and mortality through fragility fractures. Most nations have developed their own guidelines on managing this condition. Clinical Practice Guidelines (CPGs) are the highest quality evidence documents on a particular topic prepared by expert panels. CPGs offer standardised recommendations on a particular topic. Methods We looked at the CPGs of nations in the last five years and present the results of this review here. This review is divided into Risk assessment, prevention, diagnosis, Non pharmacological and pharmacological management with information from major CPGs only. Results Most CPGs agree on the broad principles of assessment , core risk factors, prevention and management with some finer differences in subtle aspects of assessment and management. There are differences in the use of screening tools based on the population numbers and affordability between nations. FRAX has been advocated for the screening with or without DEXA. Most CPGs use DEXA for confirmation of diagnosis. Intervention is based on FRAX scoring. Intervention thresholds vary. We discuss non-pharmacological management included diet and nutrition, calcium and Vitamin D, Exercise and physiotherapy, lifestyle changes and falls prevention. Pharmacological management included aspects of using different medications and their indications. The key agents recommended include Bisphosphonates, Teriparatide, Denosumab, SERMs, Hormone Replacement Therapy, and other agents including any drug holidays and duration of therapy. Conclusions This review identified some key recommendations from CPGs from multiple nations in each of the above given aspects of osteoporosis.
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Affiliation(s)
- Murali Poduval
- Lifesciences Engineering, Tata Consultancy Services, Mumbai, India
| | | | - Karthik Vishwanathan
- Department of Orthopedics, Parul Institute of Medical Sciences and Research, Parul University, Vadodara, Gujarat India
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19
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Leslie WD. Effect of Race/Ethnicity on United States FRAX Calculations and Treatment Qualification: A Registry-Based Study. J Bone Miner Res 2023; 38:1742-1748. [PMID: 37548387 DOI: 10.1002/jbmr.4896] [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: 05/25/2023] [Revised: 07/23/2023] [Accepted: 08/04/2023] [Indexed: 08/08/2023]
Abstract
Since 2008. the United States has had four race/ethnic fracture risk assessment tool (FRAX) calculators: White ("Caucasian"), Black, Asian, and Hispanic. The American Society for Bone and Mineral Research Task Force on Clinical Algorithms for Fracture Risk has been examining the implications of retaining race/ethnicity in the US FRAX calculators. To inform the Task Force, we computed FRAX scores according to each US calculator in 114,942 White, 485 Black, and 2816 Asian women (self-reported race/ethnicity) aged 50 years and older. We estimated treatment qualification based upon FRAX thresholds (3% for hip fracture, 20% for major osteoporotic fracture [MOF]). Finally, we examined measures for a hypothetical population-based FRAX calculator derived as the weighted mean for the US population based upon US Census Bureau statistics. With identical inputs, the highest FRAX measurements were found with the White FRAX calculator, lowest measurements with the Black calculator, and intermediate measurements for the Asian and Hispanic calculators. The percentage of women with FRAX scores exceeding the hip fracture treatment threshold was 32.0% for White, 1.9% for Black, and 19.7% for Asian women; the MOF treatment threshold was exceeded for 14.9% of White, 0.0% of Black, and 3.5% of Asian women. Disparities in treatment qualification were reduced after considering additional criteria (fracture history and dual-energy X-ray absorptiometry [DXA] T-score -2.5 or lower). When fracture risk was recalculated for non-White women using the White FRAX calculator, mean values for Asian women slightly exceeded those for White women but for Black women remained substantially below those for White women. When using a single population-based FRAX calculator, the mean probability of fracture and treatment qualification increased for non-White women across the age range. In summary, use of a single population-based FRAX calculator, rather than existing US race/ethnic FRAX calculators, will reduce differences in treatment qualification and may ultimately enhance equity and access to osteoporosis treatment. © 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)
- William D Leslie
- Department of Medicine, University of Manitoba, Winnipeg, Canada
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20
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Milic J, Renzetti S, Morini D, Motta F, Carli F, Menozzi M, Cuomo G, Mancini G, Simion M, Romani F, Spadoni A, Baldisserotto I, Barp N, Diazzi C, Mussi C, Mussini C, Rochira V, Calza S, Guaraldi G. Bone Mineral Density and Trabecular Bone Score Changes throughout Menopause in Women with HIV. Viruses 2023; 15:2375. [PMID: 38140615 PMCID: PMC10747369 DOI: 10.3390/v15122375] [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: 05/13/2023] [Revised: 10/03/2023] [Accepted: 10/06/2023] [Indexed: 12/24/2023] Open
Abstract
OBJECTIVE The objectives of this study were to describe the trajectories of bone mineral density (BMD) and trabecular bone score (TBS) changes throughout pre-menopause (reproductive phase and menopausal transition) and post-menopause (early and late menopause) in women with HIV (WWH) undergoing different antiretroviral therapies (ARTs) and explore the risk factors associated with those changes. METHODS This was an observational longitudinal retrospective study in WWH with a minimum of two DEXA evaluations comprising BMD and TBS measurements, both in the pre-menopausal and post-menopausal periods. Menopause was determined according to the STRAW+10 criteria, comprising four periods: the reproductive period, menopausal transition, and early- and late-menopausal periods. Mixed-effects models were fitted to estimate the trajectories of the two outcomes (BMD and TBS) over time. Annualized lumbar BMD and TBS absolute and percentage changes were calculated in each STRAW+10 time window. A backward elimination procedure was applied to obtain the final model, including the predictors that affected the trajectories of BMD or TBS over time. RESULTS A total of 202 WWH, all Caucasian, were included. In detail, 1954 BMD and 195 TBS data were analyzed. The median number of DEXA evaluations per woman was 10 (IQR: 7, 12). The median observation periods per patient were 12.0 years (IQR = 8.9-14.4) for BMD and 6.0 years (IQR: 4.3, 7.9) for TBS. The prevalence of osteopenia (63% vs. 76%; p < 0.001) and osteoporosis (16% vs. 36%; p < 0.001) increased significantly between the pre-menopausal and post-menopausal periods. Both BMD (1.03 (±0.14) vs. 0.92 (±0.12) g/cm2; p < 0.001) and TBS (1.41 (IQR: 1.35, 1.45) vs. 1.32 (IQR: 1.28, 1.39); p < 0.001) decreased significantly between the two periods. The trend in BMD decreased across the four STRAW+10 periods, with a slight attenuation only in the late-menopausal period when compared with the other intervals. The TBS slope did not significantly change throughout menopause. The delta mean values of TBS in WWH were lower between the menopausal transition and reproductive period compared with the difference between menopause and menopausal transition. CONCLUSIONS Both BMD and TBS significantly decreased over time. The slope of the change in BMD and TBS significantly decreased in the menopausal transition, suggesting that this period should be considered by clinicians as a key time during which to assess bone health and modifiable risk factors in WWH.
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Affiliation(s)
- Jovana Milic
- Modena HIV Metabolic Clinic, University of Modena and Reggio Emilia, 41121 Modena, Italy;
- Department of Surgical, Medical, Dental and Morphological Sciences, University of Modena and Reggio Emilia, 41121 Modena, Italy; (F.M.); (C.M.)
| | - Stefano Renzetti
- Department of Medical-Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, 25121 Brescia, Italy;
| | - Denise Morini
- Hematology and Transplant Center, University Hospital “San Giovanni di Dio e Ruggi d’Aragona”, 84121 Salerno, Italy;
| | - Federico Motta
- Department of Surgical, Medical, Dental and Morphological Sciences, University of Modena and Reggio Emilia, 41121 Modena, Italy; (F.M.); (C.M.)
| | - Federica Carli
- Department of Infectious Diseases, Azienda Ospedaliero-Universitaria, Policlinico of Modena, 41121 Modena, Italy; (F.C.); (M.M.); (G.C.); (G.M.); (M.S.); (F.R.); (A.S.); (I.B.); (N.B.)
| | - Marianna Menozzi
- Department of Infectious Diseases, Azienda Ospedaliero-Universitaria, Policlinico of Modena, 41121 Modena, Italy; (F.C.); (M.M.); (G.C.); (G.M.); (M.S.); (F.R.); (A.S.); (I.B.); (N.B.)
| | - Gianluca Cuomo
- Department of Infectious Diseases, Azienda Ospedaliero-Universitaria, Policlinico of Modena, 41121 Modena, Italy; (F.C.); (M.M.); (G.C.); (G.M.); (M.S.); (F.R.); (A.S.); (I.B.); (N.B.)
| | - Giuseppe Mancini
- Department of Infectious Diseases, Azienda Ospedaliero-Universitaria, Policlinico of Modena, 41121 Modena, Italy; (F.C.); (M.M.); (G.C.); (G.M.); (M.S.); (F.R.); (A.S.); (I.B.); (N.B.)
| | - Mattia Simion
- Department of Infectious Diseases, Azienda Ospedaliero-Universitaria, Policlinico of Modena, 41121 Modena, Italy; (F.C.); (M.M.); (G.C.); (G.M.); (M.S.); (F.R.); (A.S.); (I.B.); (N.B.)
| | - Federico Romani
- Department of Infectious Diseases, Azienda Ospedaliero-Universitaria, Policlinico of Modena, 41121 Modena, Italy; (F.C.); (M.M.); (G.C.); (G.M.); (M.S.); (F.R.); (A.S.); (I.B.); (N.B.)
| | - Anna Spadoni
- Department of Infectious Diseases, Azienda Ospedaliero-Universitaria, Policlinico of Modena, 41121 Modena, Italy; (F.C.); (M.M.); (G.C.); (G.M.); (M.S.); (F.R.); (A.S.); (I.B.); (N.B.)
| | - Irene Baldisserotto
- Department of Infectious Diseases, Azienda Ospedaliero-Universitaria, Policlinico of Modena, 41121 Modena, Italy; (F.C.); (M.M.); (G.C.); (G.M.); (M.S.); (F.R.); (A.S.); (I.B.); (N.B.)
| | - Nicole Barp
- Department of Infectious Diseases, Azienda Ospedaliero-Universitaria, Policlinico of Modena, 41121 Modena, Italy; (F.C.); (M.M.); (G.C.); (G.M.); (M.S.); (F.R.); (A.S.); (I.B.); (N.B.)
| | - Chiara Diazzi
- Unit of Endocrinology, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, 41126 Modena, Italy; (C.D.); (V.R.)
| | - Chiara Mussi
- Department of Biomedical and Metabolic Sciences and Neuroscience, University of Modena and Reggio Emilia, 41126 Modena, Italy;
| | - Cristina Mussini
- Department of Surgical, Medical, Dental and Morphological Sciences, University of Modena and Reggio Emilia, 41121 Modena, Italy; (F.M.); (C.M.)
- Department of Infectious Diseases, Azienda Ospedaliero-Universitaria, Policlinico of Modena, 41121 Modena, Italy; (F.C.); (M.M.); (G.C.); (G.M.); (M.S.); (F.R.); (A.S.); (I.B.); (N.B.)
| | - Vincenzo Rochira
- Unit of Endocrinology, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, 41126 Modena, Italy; (C.D.); (V.R.)
- Unit of Endocrinology, Department of Medical Specialties, Azienda Ospedaliero-Universitaria of Modena, Ospedale Civile of Baggiovara, 41126 Modena, Italy
| | - Stefano Calza
- Department of Molecular and Translational Medicine, University of Brescia, 25121 Brescia, Italy;
| | - Giovanni Guaraldi
- Modena HIV Metabolic Clinic, University of Modena and Reggio Emilia, 41121 Modena, Italy;
- Department of Surgical, Medical, Dental and Morphological Sciences, University of Modena and Reggio Emilia, 41121 Modena, Italy; (F.M.); (C.M.)
- Department of Infectious Diseases, Azienda Ospedaliero-Universitaria, Policlinico of Modena, 41121 Modena, Italy; (F.C.); (M.M.); (G.C.); (G.M.); (M.S.); (F.R.); (A.S.); (I.B.); (N.B.)
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Theriault G, Reynolds D, Pillay JJ, Limburg H, Grad R, Gates M, Lafortune FD, Breault P. Expanding the measurement of overdiagnosis in the context of disease precursors and risk factors. BMJ Evid Based Med 2023; 28:364-368. [PMID: 36627178 DOI: 10.1136/bmjebm-2022-112117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/02/2023] [Indexed: 01/12/2023]
Affiliation(s)
- Guylene Theriault
- Department of Family Medicine, McGill University, Montreal, Quebec, Canada
| | - Donna Reynolds
- Department of Family and Community Medicine, University of Toronto, Toronto, Ontario, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Jennifer J Pillay
- Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada
| | - Heather Limburg
- Global Health and Guidelines Division, Public Health Agency of Canada, Ottawa, Ontario, Canada
| | - Roland Grad
- Department of Family Medicine, McGill University, Montreal, Quebec, Canada
| | - Michelle Gates
- Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada
| | - Frantz-Daniel Lafortune
- Department of Family Medicine, McGill University, Montreal, Quebec, Canada
- Department of Family Medicine, Universite Laval, Quebec, Quebec, Canada
| | - Pascale Breault
- Department of Family Medicine, Universite Laval, Quebec, Quebec, Canada
- Department of Family Medicine, Universite de Montreal, Montreal, Quebec, Canada
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Jia H, Qu W, Cai X, Li M, Qian Y, Jiang Z, Zhang Z. Assessment for bone health in patients with differentiated thyroid carcinoma after postoperative thyroid-stimulating hormone suppression therapy: a new fracture risk assessment algorithm. Front Endocrinol (Lausanne) 2023; 14:1286947. [PMID: 38075039 PMCID: PMC10698692 DOI: 10.3389/fendo.2023.1286947] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Accepted: 10/30/2023] [Indexed: 12/18/2023] Open
Abstract
Purpose The fracture risk assessment tool (FRAX) is used to assess the 10-year risk of major site and hip fractures; however, whether this tool can be applied to patients receiving levothyroxine-based thyroid-stimulating hormone (TSH) suppressive therapy for postoperative differentiated thyroid cancer (DTC) patients is yet to be clarified. Methods and design A total of 64 patients with DTC following thyroidectomy and oral levothyroxine for TSH suppression therapy and 30 gender- and age-matched controls were collected. The fracture risk was compared between the affected groups with different TSH levels. FRAX was used to calculate the fracture risk with and without bone mineral density (BMD). The TSH level was converted to an age-weighted score to estimate the fracture risk of postoperatively differentiated thyroid cancer patients. The sensitivity, specificity, and area under the AUC curve of the traditional FRAX and the new algorithm for osteoporosis diagnosis were compared. The dual-energy X-ray bone mineral density measurement T score was used as the gold standard to diagnose osteoporosis. Results There were 24 patients in the T ≥ -1-2.5 group, 23 in the -2.5 < T < -1 group, and 17 in the T ≤ -2.5 group. The T score of BMD in the disease group was significantly lower than that in the control group (p < 0.05). The risk of MOF and hip fracture without a T score were significantly different under various TSH levels (p < 0.05). The area under the curve (AUC) of FRAX without BMD for predicting major osteoporotic fractures (PMOF) and major hip fractures (PHF) was 0.694 and 0.683, respectively. The cutoff values were 2.15% and 0.25%, respectively. The AUC of FRAX with BMD for PMOF and PHF was 0.976 and 0.989, respectively, and the cutoff values were 4.15% and 1.1%, respectively. The AUC of FRAX without BMD for PMOF and PHF was 0.708 and 0.72, respectively, and the cutoff values were 5.5% and 1.55%, respectively. Conclusions FRAX is suitable for postoperative DTC patients after TSH suppressive therapy. In the absence of BMD, TSH weighted by age can improve the specificity of FRAX in the diagnosis of osteoporosis in this population.
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Affiliation(s)
- Huiran Jia
- Endocrinology Department, Postgraduate Training Base of Jinzhou Medical University, Jinzhou, Liaoning, China
- Endocrinology Department, The 960th Hospital of the People’s Liberation Army Joint Logistics Support Force, Jinan, China
| | - Wei Qu
- Endocrinology Department, The 960th Hospital of the People’s Liberation Army Joint Logistics Support Force, Jinan, China
| | - Xiaoting Cai
- Endocrinology Department, Postgraduate Training Base of Jinzhou Medical University, Jinzhou, Liaoning, China
- Endocrinology Department, The 960th Hospital of the People’s Liberation Army Joint Logistics Support Force, Jinan, China
| | - Meiye Li
- Endocrinology Department, The 960th Hospital of the People’s Liberation Army Joint Logistics Support Force, Jinan, China
| | - Ying Qian
- Endocrinology Department, The 960th Hospital of the People’s Liberation Army Joint Logistics Support Force, Jinan, China
| | - Zhaoshun Jiang
- Endocrinology Department, The 960th Hospital of the People’s Liberation Army Joint Logistics Support Force, Jinan, China
| | - Zongjing Zhang
- Endocrinology Department, The 960th Hospital of the People’s Liberation Army Joint Logistics Support Force, Jinan, China
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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: 2.0] [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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24
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Uragami M, Matsushita K, Shibata Y, Takata S, Karasugi T, Sueyoshi T, Masuda T, Nakamura T, Tokunaga T, Hisanaga S, Yugami M, Sugimoto K, Yonemitsu R, Ideo K, Fukuma Y, Takata K, Arima T, Kawakami J, Maeda K, Yoshimura N, Matsunaga H, Kai Y, Tanimura S, Shimada M, Tateyama M, Miyamoto K, Kubo R, Tajiri R, Tian X, Homma F, Morinaga J, Yamanouchi Y, Takebayashi M, Kajitani N, Uehara Y, Miyamoto T. A machine learning-based scoring system and ten factors associated with hip fracture occurrence in the elderly. Bone 2023; 176:116865. [PMID: 37562661 DOI: 10.1016/j.bone.2023.116865] [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: 07/04/2023] [Revised: 07/30/2023] [Accepted: 08/01/2023] [Indexed: 08/12/2023]
Abstract
Hip fractures are fragility fractures frequently seen in persons over 80-years-old. Although various factors, including decreased bone mineral density and a history of falls, are reported as hip fracture risks, few large-scale studies have confirmed their relevance to individuals older than 80, and tools to assess contributions of various risks to fracture development and the degree of risk are lacking. We recruited 1395 fresh hip fracture patients and 1075 controls without hip fractures and comprehensively evaluated various reported risk factors and their association with hip fracture development. We initially constructed a predictive model using Extreme Gradient Boosting (XGBoost), a machine learning algorithm, incorporating all 40 variables and evaluated the model's performance using the area under the receiver operating characteristic curve (AUC), yielding a value of 0.87. We also employed SHapley Additive exPlanation (SHAP) values to evaluate each feature importance and ranked the top 20. We then used a stepwise selection method to determine key factors sequentially until the AUC reached a plateau nearly equal to that of all variables and identified the top 10 sufficient to evaluate hip fracture risk. For each, we determined the cutoff value for hip fracture occurrence and calculated scores of each variable based on the respective feature importance. Individual scores were: serum 25(OH)D levels (<10 ng/ml, score 7), femoral neck T-score (<-3, score 5), Barthel index score (<100, score 3), maximal handgrip strength (<18 kg, score 3), GLFS-25 score (≥24, score 2), number of falls in previous 12 months (≥3, score 2), serum IGF-1 levels (<50 ng/ml, score 2), cups of tea/day (≥5, score -2), use of anti-osteoporosis drugs (yes, score -2), and BMI (<18.5 kg/m2, score 1). Using these scores, we performed receiver operating characteristic (ROC) analysis and the resultant optimal cutoff value was 7, with a specificity of 0.78, sensitivity of 0.75, and AUC of 0.85. These ten factors and the scoring system may represent tools useful to predict hip fracture.
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Affiliation(s)
- Masaru Uragami
- Department of Orthopedic Surgery, Faculty of Life Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto 860-8556, Japan
| | - Kozo Matsushita
- Department of Orthopedic Surgery, Faculty of Life Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto 860-8556, Japan
| | - Yuto Shibata
- Department of Orthopedic Surgery, Faculty of Life Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto 860-8556, Japan
| | - Shu Takata
- Department of Orthopedic Surgery, Faculty of Life Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto 860-8556, Japan
| | - Tatsuki Karasugi
- Department of Orthopedic Surgery, Faculty of Life Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto 860-8556, Japan
| | - Takanao Sueyoshi
- Department of Orthopedic Surgery, Faculty of Life Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto 860-8556, Japan
| | - Tetsuro Masuda
- Department of Orthopedic Surgery, Faculty of Life Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto 860-8556, Japan
| | - Takayuki Nakamura
- Department of Orthopedic Surgery, Faculty of Life Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto 860-8556, Japan
| | - Takuya Tokunaga
- Department of Orthopedic Surgery, Faculty of Life Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto 860-8556, Japan
| | - Satoshi Hisanaga
- Department of Orthopedic Surgery, Faculty of Life Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto 860-8556, Japan
| | - Masaki Yugami
- Department of Orthopedic Surgery, Faculty of Life Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto 860-8556, Japan
| | - Kazuki Sugimoto
- Department of Orthopedic Surgery, Faculty of Life Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto 860-8556, Japan
| | - Ryuji Yonemitsu
- Department of Orthopedic Surgery, Faculty of Life Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto 860-8556, Japan
| | - Katsumasa Ideo
- Department of Orthopedic Surgery, Faculty of Life Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto 860-8556, Japan
| | - Yuko Fukuma
- Department of Orthopedic Surgery, Faculty of Life Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto 860-8556, Japan
| | - Kosei Takata
- Department of Orthopedic Surgery, Faculty of Life Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto 860-8556, Japan
| | - Takahiro Arima
- Department of Orthopedic Surgery, Faculty of Life Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto 860-8556, Japan
| | - Jyunki Kawakami
- Department of Orthopedic Surgery, Faculty of Life Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto 860-8556, Japan
| | - Kazuya Maeda
- Department of Orthopedic Surgery, Faculty of Life Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto 860-8556, Japan
| | - Naoto Yoshimura
- Department of Orthopedic Surgery, Faculty of Life Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto 860-8556, Japan
| | - Hideto Matsunaga
- Department of Orthopedic Surgery, Faculty of Life Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto 860-8556, Japan
| | - Yuki Kai
- Department of Orthopedic Surgery, Faculty of Life Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto 860-8556, Japan
| | - Shuntaro Tanimura
- Department of Orthopedic Surgery, Faculty of Life Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto 860-8556, Japan
| | - Masaki Shimada
- Department of Orthopedic Surgery, Faculty of Life Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto 860-8556, Japan
| | - Makoto Tateyama
- Department of Orthopedic Surgery, Faculty of Life Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto 860-8556, Japan
| | - Kana Miyamoto
- Department of Orthopedic Surgery, Faculty of Life Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto 860-8556, Japan
| | - Ryuta Kubo
- Department of Oral and Maxillofacial Surgery, Faculty of Life Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto 860-8556, Japan
| | - Rui Tajiri
- Department of Oral and Maxillofacial Surgery, Faculty of Life Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto 860-8556, Japan
| | - Xiao Tian
- Department of Orthopedic Surgery, Faculty of Life Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto 860-8556, Japan
| | - Fuka Homma
- Department of Clinical Investigation, Kumamoto University Hospital, 1-1-1 Honjo, Chuo-ku, Kumamoto, Kumamoto 860-8556, Japan
| | - Jun Morinaga
- Department of Dentistry and Oral Surgery, Keio University School of Medicine, 35 Shinano-machi, Shinjuku-ku, Tokyo 160-8582, Japan
| | - Yoshinori Yamanouchi
- Department of Dentistry and Oral Surgery, Keio University School of Medicine, 35 Shinano-machi, Shinjuku-ku, Tokyo 160-8582, Japan
| | - Minoru Takebayashi
- Department of Neuropsychiatry, Faculty of Life Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto 860-8556, Japan
| | - Naoto Kajitani
- Department of Neuropsychiatry, Faculty of Life Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto 860-8556, Japan; Center for Metabolic Regulation of Healthy Aging, Faculty of Life Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto 860-8556, Japan
| | - Yusuke Uehara
- Department of Orthopedic Surgery, Faculty of Life Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto 860-8556, Japan.
| | - Takeshi Miyamoto
- Department of Orthopedic Surgery, Faculty of Life Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto 860-8556, Japan.
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Penoni DC, Torres SR, Oliveira ML, Farias MLF, Vettore MV, Leão ATT. Untreated osteoporosis and higher FRAX as risk factors for tooth loss: a 5-year prospective study. J Bone Miner Metab 2023; 41:727-737. [PMID: 37432542 DOI: 10.1007/s00774-023-01451-w] [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: 02/07/2023] [Accepted: 06/11/2023] [Indexed: 07/12/2023]
Abstract
INTRODUCTION Studies have shown that an impaired bone condition, represented by osteoporosis and increased fracture risk, may potentially aggravate periodontal disease and, consequently, the risk of tooth loss. This 5-year prospective study aimed to investigate whether systemic bone condition represents risk factor for tooth loss due to periodontal disease amongst elderly women. MATERIAL AND METHODS Seventy-four participants, aged ≥ 65 years, who attended the 5-years recall for periodontal evaluation were involved. Baseline exposures were osteoporosis and fracture risk probabilities (FRAX). Women were grouped according to bone mineral density (BMD) and years of bone treatment for osteoporosis. The primary outcome at a 5-year follow-up was the number of tooth loss due to periodontal disease. Periodontitis staging and grading, and causes of tooth loss were recorded. RESULTS The multivariate Poisson regression models showed that women with untreated/shortly treated osteoporosis were 4 times more likely to present higher number of tooth loss due to periodontal disease than those with normal BMD or treated for ≥ 3 years (risk ratio (RR) = 4.00, 95% CI 1.40-11.27). Higher FRAX was also linked to tooth loss (RR = 1.25, 95% CI 1.02-1.53). Receiver-operating characteristic (ROC) curve suggested that women with history of ≥ 1 tooth losses have higher chances of worse major FRAX (sensitivity = 72.2%; specificity = 72.2%). CONCLUSION In this 5-year study, higher FRAX and untreated osteoporosis were risk factors for tooth loss. Women with normal BMD or treated for osteoporosis for ≥ 3 years did not show increased risk. Management of skeletal conditions should be emphasized with periodontal care for the prevention of tooth loss in elderly women.
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Affiliation(s)
- Daniela Cia Penoni
- Division of Dentistry, Brazilian Navy, Hospital Naval de Brasília, SEPS Q 711/911, Federal District, Asa Sul, Brasília, DF, 70390-115, Brazil.
- Division of Periodontics, Department of Dental Clinic, Dental School, Universidade Federal do Rio de Janeiro, Rua Professor Rodolpho Paulo Rocco 325, Rio de Janeiro, 21941-617, Brazil.
| | - Sandra Regina Torres
- Department of Oral Pathology and Diagnosis, Dental School, Universidade Federal Do Rio de Janeiro, Rua Professor Rodolpho Paulo Rocco 325, Rio de Janeiro, 21941-617, Brazil
| | - Matheus L Oliveira
- Division of Oral Radiology, Department of Oral Diagnosis, Piracicaba Dental School, University of Campinas, Av. Limeira, 901, Postal 52, Piracicaba, SP, 13414-903, Brazil
| | - Maria Lucia Fleiuss Farias
- Division of Endocrinology, Department of Internal Medicine, Clementino Fraga Filho Hospital, Universidade Federal do Rio de Janeiro, Rua Professor Rodolpho Paulo Rocco 255, Rio de Janeiro, 21941-617, Brazil
| | - Mario Vianna Vettore
- Department of Health and Nursing Sciences, University of Agder, Universitetsveien 25, 4630, Kristiansand, Norway
| | - Anna Thereza Thomé Leão
- Division of Periodontics, Department of Dental Clinic, Dental School, Universidade Federal do Rio de Janeiro, Rua Professor Rodolpho Paulo Rocco 325, Rio de Janeiro, 21941-617, Brazil
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Mondo I, Hannou S, D'Amelio P. Using sequential pharmacotherapy for the treatment of osteoporosis: an update of the literature. Expert Opin Pharmacother 2023; 24:2175-2186. [PMID: 38100542 DOI: 10.1080/14656566.2023.2296543] [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: 09/13/2023] [Accepted: 12/14/2023] [Indexed: 12/17/2023]
Abstract
INTRODUCTION Osteoporosis, which is characterized by compromised bone density and heightened susceptibility to fractures, is a substantial public health concern, especially among the aging population. Underdiagnosis, undertreatment, and therapy non-adherence contribute to its impact. Anabolic and dual-action agents like teriparatide, abaloparatide, and romosozumab have emerged as effective treatments, allowing rapid gains in bone mineral density (BMD) and reducing fracture risk. However, administering treatments in the correct order is paramount, with an 'anabolic first' approach gaining traction for patients at high risk of fractures. This strategy involves starting anabolic therapies, followed by antiresorptive agents as maintenance therapy. It is important to note that the effectiveness of anabolic agents differs between treatment-naive and previously treated patients: tailored treatment approaches are therefore necessary. This comprehensive strategy adheres to clinical guidelines, emphasizing individualized care, early intervention, and patient-centered management to mitigate the burden of osteoporosis and enhance patients' quality of life. AREA COVERED The aim of this review is to summarize recent evidence on the sequential treatment of osteoporosis and to provide recommendations on the best treatment strategies. EXPERT OPINION Effective treatments, such as anabolic agents, are key in high-risk patients, who require an 'anabolic first' approach. Sequential therapy, specifically tailored to a patient's history, can help to optimize prevention and management of fractures.
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Affiliation(s)
- Ilaria Mondo
- Department of Geriatrics and Geriatric Rehabilitation, Lausanne University Hospital, Lausanne, Switzerland
| | - Sophia Hannou
- Department of Geriatrics and Geriatric Rehabilitation, Lausanne University Hospital, Lausanne, Switzerland
| | - Patrizia D'Amelio
- Department of Geriatrics and Geriatric Rehabilitation, Lausanne University Hospital, Lausanne, Switzerland
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Shevroja E, Reginster JY, Lamy O, Al-Daghri N, Chandran M, Demoux-Baiada AL, Kohlmeier L, Lecart MP, Messina D, Camargos BM, Payer J, Tuzun S, Veronese N, Cooper C, McCloskey EV, Harvey NC. Update on the clinical use of trabecular bone score (TBS) in the management of osteoporosis: results of an expert group meeting organized by the European Society for Clinical and Economic Aspects of Osteoporosis, Osteoarthritis and Musculoskeletal Diseases (ESCEO), and the International Osteoporosis Foundation (IOF) under the auspices of WHO Collaborating Center for Epidemiology of Musculoskeletal Health and Aging. Osteoporos Int 2023; 34:1501-1529. [PMID: 37393412 PMCID: PMC10427549 DOI: 10.1007/s00198-023-06817-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Accepted: 05/31/2023] [Indexed: 07/03/2023]
Abstract
PURPOSE Trabecular bone score (TBS) is a grey-level textural measurement acquired from dual-energy X-ray absorptiometry lumbar spine images and is a validated index of bone microarchitecture. In 2015, a Working Group of the European Society on Clinical and Economic Aspects of Osteoporosis, Osteoarthritis and Musculoskeletal Diseases (ESCEO) published a review of the TBS literature, concluding that TBS predicts hip and major osteoporotic fracture, at least partly independent of bone mineral density (BMD) and clinical risk factors. It was also concluded that TBS is potentially amenable to change as a result of pharmacological therapy. Further evidence on the utility of TBS has since accumulated in both primary and secondary osteoporosis, and the introduction of FRAX and BMD T-score adjustment for TBS has accelerated adoption. This position paper therefore presents a review of the updated scientific literature and provides expert consensus statements and corresponding operational guidelines for the use of TBS. METHODS An Expert Working Group was convened by the ESCEO and a systematic review of the evidence undertaken, with defined search strategies for four key topics with respect to the potential use of TBS: (1) fracture prediction in men and women; (2) initiating and monitoring treatment in postmenopausal osteoporosis; (3) fracture prediction in secondary osteoporosis; and (4) treatment monitoring in secondary osteoporosis. Statements to guide the clinical use of TBS were derived from the review and graded by consensus using the Grades of Recommendation, Assessment, Development and Evaluation (GRADE) approach. RESULTS A total of 96 articles were reviewed and included data on the use of TBS for fracture prediction in men and women, from over 20 countries. The updated evidence shows that TBS enhances fracture risk prediction in both primary and secondary osteoporosis, and can, when taken with BMD and clinical risk factors, inform treatment initiation and the choice of antiosteoporosis treatment. Evidence also indicates that TBS provides useful adjunctive information in monitoring treatment with long-term denosumab and anabolic agents. All expert consensus statements were voted as strongly recommended. CONCLUSION The addition of TBS assessment to FRAX and/or BMD enhances fracture risk prediction in primary and secondary osteoporosis, adding useful information for treatment decision-making and monitoring. The expert consensus statements provided in this paper can be used to guide the integration of TBS in clinical practice for the assessment and management of osteoporosis. An example of an operational approach is provided in the appendix. This position paper presents an up-to-date review of the evidence base, synthesised through expert consensus statements, which informs the implementation of Trabecular Bone Score in clinical practice.
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Affiliation(s)
- Enisa Shevroja
- Interdisciplinary Center for Bone Diseases, Lausanne University Hospital and University of Lausanne, 1011 Lausanne, Switzerland
| | - Jean-Yves Reginster
- World Health Organization Collaborating Center for Epidemiology of Musculoskeletal Health and Aging, Liège, Belgium
- Department of Public Health, Epidemiology and Health Economics, University of Liège, CHU Sart Tilman B23, 4000 Liège, Belgium
| | - Olivier Lamy
- Interdisciplinary Center for Bone Diseases, Lausanne University Hospital and University of Lausanne, 1011 Lausanne, Switzerland
| | - Nasser Al-Daghri
- Biochemistry Department, College of Science, King Saud University, 11451 Riyadh, Kingdom of Saudi Arabia
| | - Manju Chandran
- Osteoporosis and Bone Metabolism Unit, Department of Endocrinology, Singapore General Hospital, ACADEMIA, 20, College Road, Singapore, 169856 Singapore
| | | | - Lynn Kohlmeier
- Spokane Strides for Strong Bones, Medical Director, West Coast Bone Health CME TeleECHO, Spokane, WA USA
| | | | - Daniel Messina
- IRO Medical Research Center, Buenos Aires and Rheumatology Section, Cosme Argerich, Buenos Aires, Argentina
| | - Bruno Muzzi Camargos
- Rede Materdei de Saúde - Hospital Santo Agostinho - Densitometry Unit Coordinator, Belo Horizonte, Brazil
| | - Juraj Payer
- 5th Department of Internal Medicine, Comenius University Faculty of Medicine, University Hospital, Bratislava, Slovakia
- Ružinovská 6, 82101 Bratislava, Slovakia
| | - Sansin Tuzun
- Department of Physical Medicine and Rehabilitation, Cerrahpaşa School of Medicine, Istanbul University-Cerrahpaşa, Istanbul, Turkey
| | - Nicola Veronese
- Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties “G. D’Alessandro”, University of Palermo, 90127 Palermo, Italy
| | - Cyrus Cooper
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, SO16 6YD UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
- NIHR Biomedical Research Centre, University of Oxford, Oxford, UK
| | - Eugene V. McCloskey
- Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK
- MRC Versus Arthritis Centre for Integrated Research in Musculoskeletal Ageing, Mellanby Centre for Musculoskeletal Research, University of Sheffield, Sheffield, UK
| | - Nicholas C. Harvey
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, SO16 6YD UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
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Ahadzadeh Ardebili A, Fu T, Dunnewold N, Aghajafari F, Billington EO. Bisphosphonates Preserve Bone Mineral Density and Suppress Bone Turnover Markers in Early Menopausal Women: A Systematic Review and Meta-Analysis of Randomized Trials. JBMR Plus 2023; 7:e10748. [PMID: 37283657 PMCID: PMC10241086 DOI: 10.1002/jbm4.10748] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Revised: 03/10/2023] [Accepted: 03/29/2023] [Indexed: 06/08/2023] Open
Abstract
Most women do not qualify for pharmacologic osteoporosis treatment until more than a decade after menopause, by which time they will have lost up to 30% of their bone mass and may have already sustained fractures. Short or intermittent courses of bisphosphonate therapy, initiated around the time of menopause, might prevent excessive bone loss and lower long-term fracture risk. We undertook a systematic review and meta-analysis of randomized controlled trials (RCTs) to determine the effects of nitrogen-containing bisphosphonates on fracture incidence, bone mineral density (BMD), and bone turnover markers in early menopausal women (ie, perimenopausal or <5 years postmenopausal) over ≥12 months. Medline, Embase, CENTRAL, and CINAHL were searched in July 2022. Risk of bias was evaluated using the Cochrane Risk of Bias 2 tool. Random effect meta-analysis was undertaken using RevMan v5.3. In total, 12 trials were included (n = 1722 women); five evaluated alendronate, three risedronate, three ibandronate, and one zoledronate. Four were at low risk of bias; eight raised some concerns. Fractures were infrequent in the three studies that reported them. Compared with placebo, bisphosphonates improved BMD over 12 months (mean percentage difference, 95% confidence interval [CI]) at the spine (4.32%, 95% CI, 3.10%-5.54%, p < 0.0001, n = 8 studies), the femoral neck (2.56%, 95% CI, 1.85%-3.27%, p = 0.001, n = 6 studies), and the total hip (1.22%, 95% CI 0.16%-2.28%, p = 0.002, n = 4 studies). Over treatment durations of 24 to 72 months, bisphosphonates improved BMD at the spine (5.81%, 95% CI 4.71%-6.91%, p < 0.0001, n = 8 studies), femoral neck (3.89%, 95% CI 2.73%-5.05%, p = 0.0001, n = 5 studies) and total hip (4.09%, 95% CI 2.81%-5.37%, p < 0.0001, n = 4 studies). Bisphosphonates reduced urinary N-telopeptide (-52.2%, 95% CI -60.3% to -44.2%, p < 0.00001, n = 3 studies) and bone-specific alkaline phosphatase (-34.2%, 95% CI -42.6% to -25.8%, p < 0.00001, n = 4 studies) more than placebo at 12 months. This systematic review and meta-analysis shows that bisphosphonates improve BMD and lower bone turnover markers in early menopause, warranting further investigation of these agents for osteoporosis prevention. © 2023 The Authors. JBMR Plus published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research.
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Affiliation(s)
| | - Timothy Fu
- Cumming School of MedicineUniversity of CalgaryCalgaryAlbertaCanada
| | - Nicole Dunnewold
- Health Sciences LibraryUniversity of CalgaryCalgaryAlbertaCanada
| | | | - Emma O. Billington
- Cumming School of MedicineUniversity of CalgaryCalgaryAlbertaCanada
- McCaig Institute for Bone & Joint HealthUniversity of CalgaryCalgaryAlbertaCanada
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Lin JK, Parikh RB. Bone Health in Prostate Cancer Survivors: Recent Lessons and Opportunities for Improvement. Eur Urol Focus 2023; 9:422-424. [PMID: 37117113 DOI: 10.1016/j.euf.2023.04.005] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2023] [Accepted: 04/16/2023] [Indexed: 04/30/2023]
Abstract
Prostate cancer survivors face an elevated lifetime risk of fracture due to factors that include older age, bony metastases, and use of androgen deprivation therapy in the curative setting, which increases the risk of osteoporosis and fracture. Management of bone health is critical to prevent fracture and other bone-related complications; however, routine bone health screening is seldom performed and is inadequate. In this mini-review, we discuss optimal bone health management for prostate cancer survivors who have received curative-intent therapy. We also discuss areas for future improvement. PATIENT SUMMARY: This mini-review discusses the importance of bone health for prostate cancer survivors who had nonmetastatic disease, steps to improve bone health, and areas for improvement.
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Affiliation(s)
- John K Lin
- The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ravi B Parikh
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA.
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Li N, Beaudart C, Cauley JA, Ing SW, Lane NE, Reginster JY, Silverman S, Singer AJ, Hiligsmann M. Cost Effectiveness Analyses of Interventions for Osteoporosis in Men: A Systematic Literature Review. PHARMACOECONOMICS 2023; 41:363-391. [PMID: 36738425 PMCID: PMC10020287 DOI: 10.1007/s40273-022-01239-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 12/29/2022] [Indexed: 05/06/2023]
Abstract
BACKGROUND Osteoporosis is often considered to be a disease of women. Over the last few years, owing to the increasing clinical and economic burden, the awareness and imperative for identifying and managing osteoporosis in men have increased substantially. With the approval of agents to treat men with osteoporosis, more economic evaluations have been conducted to assess the potential economic benefits of these interventions. Despite this concern, there is no specific overview of cost-effectiveness analyses for the treatment of osteoporosis in men. OBJECTIVES This study aims (1) to systematically review economic evaluations of interventions for osteoporosis in men; (2) to critically appraise the quality of included studies and the source of model input data; and (3) to investigate the comparability of results for studies including both men and women. METHODS A literature search mainly using MEDLINE (via Ovid) and Embase databases was undertaken to identify original articles published between 1 January, 2000 and 30 June, 2022. Studies that assessed the cost effectiveness of interventions for osteoporosis in men were included. The Economic Aspects of Osteoporosis, Osteoarthritis and Musculoskeletal Diseases and the International Osteoporosis Foundation osteoporosis-specific guideline was used to assess the quality of design, conduct, and reporting of included studies. RESULTS Of 2973 articles identified, 25 studies fulfilled the inclusion criteria, classified into economic evaluations of active drugs (n = 8) or nutritional supplements (n = 4), intervention thresholds (n = 5), screening strategies (n = 6), and post-fracture care programs (n = 2). Most studies were conducted in European countries (n = 15), followed by North America (n = 9). Bisphosphonates (namely alendronate) and nutritional supplements were shown to be generally cost effective compared with no treatment in men over 60 years of age with osteoporosis or prior fractures. Two other studies suggested that denosumab was cost effective in men aged 75 years and older with osteoporosis compared with bisphosphates and teriparatide. Intervention thresholds at which bisphosphonates were found to be cost effective varied among studies with a 10-year probability of a major osteoporotic fracture that ranged from 8.9 to 34.2% for different age categories. A few studies suggested cost effectiveness of screening strategies and post-fracture care programs in men. Similar findings regarding the cost effectiveness of drugs and intervention thresholds in women and men were captured, with slightly greater incremental cost-effectiveness ratios in men. The quality of the studies included had an average score of 18.8 out of 25 (range 13-23.5). Hip fracture incidence and mortality risk were mainly derived from studies in men, while fracture cost, treatment efficacy, and disutility were commonly derived from studies in women or studies combining both sexes. CONCLUSIONS Anti-osteoporosis drugs and nutritional supplements are generally cost effective in men with osteoporosis. Screening strategies and post-fracture care programs also showed economic benefits for men. Cost-effectiveness and intervention thresholds were generally similar in studies conducted in both men and women, with slightly greater incremental cost-effectiveness ratios in men.
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Affiliation(s)
- Nannan Li
- Department of Health Services Research, Care and Public Health Research Institute (CAPHRI), Maastricht University, PO Box 616, 6200 MD, Maastricht, The Netherlands
| | - Charlotte Beaudart
- Department of Health Services Research, Care and Public Health Research Institute (CAPHRI), Maastricht University, PO Box 616, 6200 MD, Maastricht, The Netherlands
- WHO Collaborating Centre for Public Health Aspects of Musculoskeletal Health and Aging, Liège, Belgium
| | - Jane A Cauley
- Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Steven W Ing
- Division of Endocrinology, Diabetes and Metabolism, Ohio State University Wexner Medical Center, Columbus, OH, USA
| | - Nancy E Lane
- Department of Medicine, University of California at Davis, School of Medicine, Sacramento, CA, USA
| | - Jean-Yves Reginster
- WHO Collaborating Centre for Public Health Aspects of Musculoskeletal Health and Aging, Liège, Belgium
- Division of Public Health, Epidemiology and Health Economics, University of Liège, Liège, Belgium
| | - Stuart Silverman
- Cedars-Sinai Medical Center, Los Angeles, CA, USA
- David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Andrea J Singer
- Departments of Obstetrics and Gynecology and Medicine, MedStar Georgetown University Hospital, Washington, DC, USA
| | - Mickaël Hiligsmann
- Department of Health Services Research, Care and Public Health Research Institute (CAPHRI), Maastricht University, PO Box 616, 6200 MD, Maastricht, The Netherlands.
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Gates M, Pillay J, Nuspl M, Wingert A, Vandermeer B, Hartling L. Screening for the primary prevention of fragility fractures among adults aged 40 years and older in primary care: systematic reviews of the effects and acceptability of screening and treatment, and the accuracy of risk prediction tools. Syst Rev 2023; 12:51. [PMID: 36945065 PMCID: PMC10029308 DOI: 10.1186/s13643-023-02181-w] [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: 07/18/2022] [Accepted: 02/02/2023] [Indexed: 03/23/2023] Open
Abstract
BACKGROUND To inform recommendations by the Canadian Task Force on Preventive Health Care, we reviewed evidence on the benefits, harms, and acceptability of screening and treatment, and on the accuracy of risk prediction tools for the primary prevention of fragility fractures among adults aged 40 years and older in primary care. METHODS For screening effectiveness, accuracy of risk prediction tools, and treatment benefits, our search methods involved integrating studies published up to 2016 from an existing systematic review. Then, to locate more recent studies and any evidence relating to acceptability and treatment harms, we searched online databases (2016 to April 4, 2022 [screening] or to June 1, 2021 [predictive accuracy]; 1995 to June 1, 2021, for acceptability; 2016 to March 2, 2020, for treatment benefits; 2015 to June 24, 2020, for treatment harms), trial registries and gray literature, and hand-searched reviews, guidelines, and the included studies. Two reviewers selected studies, extracted results, and appraised risk of bias, with disagreements resolved by consensus or a third reviewer. The overview of reviews on treatment harms relied on one reviewer, with verification of data by another reviewer to correct errors and omissions. When appropriate, study results were pooled using random effects meta-analysis; otherwise, findings were described narratively. Evidence certainty was rated according to the GRADE approach. RESULTS We included 4 randomized controlled trials (RCTs) and 1 controlled clinical trial (CCT) for the benefits and harms of screening, 1 RCT for comparative benefits and harms of different screening strategies, 32 validation cohort studies for the calibration of risk prediction tools (26 of these reporting on the Fracture Risk Assessment Tool without [i.e., clinical FRAX], or with the inclusion of bone mineral density (BMD) results [i.e., FRAX + BMD]), 27 RCTs for the benefits of treatment, 10 systematic reviews for the harms of treatment, and 12 studies for the acceptability of screening or initiating treatment. In females aged 65 years and older who are willing to independently complete a mailed fracture risk questionnaire (referred to as "selected population"), 2-step screening using a risk assessment tool with or without measurement of BMD probably (moderate certainty) reduces the risk of hip fractures (3 RCTs and 1 CCT, n = 43,736, absolute risk reduction [ARD] = 6.2 fewer in 1000, 95% CI 9.0-2.8 fewer, number needed to screen [NNS] = 161) and clinical fragility fractures (3 RCTs, n = 42,009, ARD = 5.9 fewer in 1000, 95% CI 10.9-0.8 fewer, NNS = 169). It probably does not reduce all-cause mortality (2 RCTs and 1 CCT, n = 26,511, ARD = no difference in 1000, 95% CI 7.1 fewer to 5.3 more) and may (low certainty) not affect health-related quality of life. Benefits for fracture outcomes were not replicated in an offer-to-screen population where the rate of response to mailed screening questionnaires was low. For females aged 68-80 years, population screening may not reduce the risk of hip fractures (1 RCT, n = 34,229, ARD = 0.3 fewer in 1000, 95% CI 4.2 fewer to 3.9 more) or clinical fragility fractures (1 RCT, n = 34,229, ARD = 1.0 fewer in 1000, 95% CI 8.0 fewer to 6.0 more) over 5 years of follow-up. The evidence for serious adverse events among all patients and for all outcomes among males and younger females (<65 years) is very uncertain. We defined overdiagnosis as the identification of high risk in individuals who, if not screened, would never have known that they were at risk and would never have experienced a fragility fracture. This was not directly reported in any of the trials. Estimates using data available in the trials suggest that among "selected" females offered screening, 12% of those meeting age-specific treatment thresholds based on clinical FRAX 10-year hip fracture risk, and 19% of those meeting thresholds based on clinical FRAX 10-year major osteoporotic fracture risk, may be overdiagnosed as being at high risk of fracture. Of those identified as being at high clinical FRAX 10-year hip fracture risk and who were referred for BMD assessment, 24% may be overdiagnosed. One RCT (n = 9268) provided evidence comparing 1-step to 2-step screening among postmenopausal females, but the evidence from this trial was very uncertain. For the calibration of risk prediction tools, evidence from three Canadian studies (n = 67,611) without serious risk of bias concerns indicates that clinical FRAX-Canada may be well calibrated for the 10-year prediction of hip fractures (observed-to-expected fracture ratio [O:E] = 1.13, 95% CI 0.74-1.72, I2 = 89.2%), and is probably well calibrated for the 10-year prediction of clinical fragility fractures (O:E = 1.10, 95% CI 1.01-1.20, I2 = 50.4%), both leading to some underestimation of the observed risk. Data from these same studies (n = 61,156) showed that FRAX-Canada with BMD may perform poorly to estimate 10-year hip fracture risk (O:E = 1.31, 95% CI 0.91-2.13, I2 = 92.7%), but is probably well calibrated for the 10-year prediction of clinical fragility fractures, with some underestimation of the observed risk (O:E 1.16, 95% CI 1.12-1.20, I2 = 0%). The Canadian Association of Radiologists and Osteoporosis Canada Risk Assessment (CAROC) tool may be well calibrated to predict a category of risk for 10-year clinical fractures (low, moderate, or high risk; 1 study, n = 34,060). The evidence for most other tools was limited, or in the case of FRAX tools calibrated for countries other than Canada, very uncertain due to serious risk of bias concerns and large inconsistency in findings across studies. Postmenopausal females in a primary prevention population defined as <50% prevalence of prior fragility fracture (median 16.9%, range 0 to 48% when reported in the trials) and at risk of fragility fracture, treatment with bisphosphonates as a class (median 2 years, range 1-6 years) probably reduces the risk of clinical fragility fractures (19 RCTs, n = 22,482, ARD = 11.1 fewer in 1000, 95% CI 15.0-6.6 fewer, [number needed to treat for an additional beneficial outcome] NNT = 90), and may reduce the risk of hip fractures (14 RCTs, n = 21,038, ARD = 2.9 fewer in 1000, 95% CI 4.6-0.9 fewer, NNT = 345) and clinical vertebral fractures (11 RCTs, n = 8921, ARD = 10.0 fewer in 1000, 95% CI 14.0-3.9 fewer, NNT = 100); it may not reduce all-cause mortality. There is low certainty evidence of little-to-no reduction in hip fractures with any individual bisphosphonate, but all provided evidence of decreased risk of clinical fragility fractures (moderate certainty for alendronate [NNT=68] and zoledronic acid [NNT=50], low certainty for risedronate [NNT=128]) among postmenopausal females. Evidence for an impact on risk of clinical vertebral fractures is very uncertain for alendronate and risedronate; zoledronic acid may reduce the risk of this outcome (4 RCTs, n = 2367, ARD = 18.7 fewer in 1000, 95% CI 25.6-6.6 fewer, NNT = 54) for postmenopausal females. Denosumab probably reduces the risk of clinical fragility fractures (6 RCTs, n = 9473, ARD = 9.1 fewer in 1000, 95% CI 12.1-5.6 fewer, NNT = 110) and clinical vertebral fractures (4 RCTs, n = 8639, ARD = 16.0 fewer in 1000, 95% CI 18.6-12.1 fewer, NNT=62), but may make little-to-no difference in the risk of hip fractures among postmenopausal females. Denosumab probably makes little-to-no difference in the risk of all-cause mortality or health-related quality of life among postmenopausal females. Evidence in males is limited to two trials (1 zoledronic acid, 1 denosumab); in this population, zoledronic acid may make little-to-no difference in the risk of hip or clinical fragility fractures, and evidence for all-cause mortality is very uncertain. The evidence for treatment with denosumab in males is very uncertain for all fracture outcomes (hip, clinical fragility, clinical vertebral) and all-cause mortality. There is moderate certainty evidence that treatment causes a small number of patients to experience a non-serious adverse event, notably non-serious gastrointestinal events (e.g., abdominal pain, reflux) with alendronate (50 RCTs, n = 22,549, ARD = 16.3 more in 1000, 95% CI 2.4-31.3 more, [number needed to treat for an additional harmful outcome] NNH = 61) but not with risedronate; influenza-like symptoms with zoledronic acid (5 RCTs, n = 10,695, ARD = 142.5 more in 1000, 95% CI 105.5-188.5 more, NNH = 7); and non-serious gastrointestinal adverse events (3 RCTs, n = 8454, ARD = 64.5 more in 1000, 95% CI 26.4-13.3 more, NNH = 16), dermatologic adverse events (3 RCTs, n = 8454, ARD = 15.6 more in 1000, 95% CI 7.6-27.0 more, NNH = 64), and infections (any severity; 4 RCTs, n = 8691, ARD = 1.8 more in 1000, 95% CI 0.1-4.0 more, NNH = 556) with denosumab. For serious adverse events overall and specific to stroke and myocardial infarction, treatment with bisphosphonates probably makes little-to-no difference; evidence for other specific serious harms was less certain or not available. There was low certainty evidence for an increased risk for the rare occurrence of atypical femoral fractures (0.06 to 0.08 more in 1000) and osteonecrosis of the jaw (0.22 more in 1000) with bisphosphonates (most evidence for alendronate). The evidence for these rare outcomes and for rebound fractures with denosumab was very uncertain. Younger (lower risk) females have high willingness to be screened. A minority of postmenopausal females at increased risk for fracture may accept treatment. Further, there is large heterogeneity in the level of risk at which patients may be accepting of initiating treatment, and treatment effects appear to be overestimated. CONCLUSION An offer of 2-step screening with risk assessment and BMD measurement to selected postmenopausal females with low prevalence of prior fracture probably results in a small reduction in the risk of clinical fragility fracture and hip fracture compared to no screening. These findings were most applicable to the use of clinical FRAX for risk assessment and were not replicated in the offer-to-screen population where the rate of response to mailed screening questionnaires was low. Limited direct evidence on harms of screening were available; using study data to provide estimates, there may be a moderate degree of overdiagnosis of high risk for fracture to consider. The evidence for younger females and males is very limited. The benefits of screening and treatment need to be weighed against the potential for harm; patient views on the acceptability of treatment are highly variable. SYSTEMATIC REVIEW REGISTRATION International Prospective Register of Systematic Reviews (PROSPERO): CRD42019123767.
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Affiliation(s)
- Michelle Gates
- Department of Pediatrics, Alberta Research Centre for Health Evidence, University of Alberta, Edmonton Clinic Health Academy, 11405-87 Avenue NW, Edmonton, Alberta, T6G 1C9, Canada
| | - Jennifer Pillay
- Department of Pediatrics, Alberta Research Centre for Health Evidence, University of Alberta, Edmonton Clinic Health Academy, 11405-87 Avenue NW, Edmonton, Alberta, T6G 1C9, Canada.
| | - Megan Nuspl
- Department of Pediatrics, Alberta Research Centre for Health Evidence, University of Alberta, Edmonton Clinic Health Academy, 11405-87 Avenue NW, Edmonton, Alberta, T6G 1C9, Canada
| | - Aireen Wingert
- Department of Pediatrics, Alberta Research Centre for Health Evidence, University of Alberta, Edmonton Clinic Health Academy, 11405-87 Avenue NW, Edmonton, Alberta, T6G 1C9, Canada
| | - Ben Vandermeer
- Department of Pediatrics, Alberta Research Centre for Health Evidence, University of Alberta, Edmonton Clinic Health Academy, 11405-87 Avenue NW, Edmonton, Alberta, T6G 1C9, Canada
| | - Lisa Hartling
- Department of Pediatrics, Alberta Research Centre for Health Evidence, University of Alberta, Edmonton Clinic Health Academy, 11405-87 Avenue NW, Edmonton, Alberta, T6G 1C9, Canada
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Kanis JA, Harvey NC, Liu E, Vandenput L, Lorentzon M, McCloskey EV, Bouillon R, Abrahamsen B, Rejnmark L, Johansson H. Primary hyperparathyroidism and fracture probability. Osteoporos Int 2023; 34:489-499. [PMID: 36525071 DOI: 10.1007/s00198-022-06629-y] [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: 04/08/2022] [Accepted: 11/28/2022] [Indexed: 12/23/2022]
Abstract
The incidence of hip and major osteoporotic fracture was increased in patients with primary hyperparathyroidism even in patients not referred for parathyroidectomy. The risk of death was also increased which attenuated an effect on fracture probabilities. The findings argue for widening the indications for parathyroidectomy in mild primary hyperparathyroidism. INTRODUCTION Primary hyperparathyroidism (PHPT) is associated with an increase in the risk of fracture. In FRAX, the increase in risk is assumed to be mediated by low bone mineral density (BMD). However, the risk of death is also increased and its effect on fracture probability is not known. OBJECTIVE The aim of this study was to determine whether PHPT affects hip fracture and major osteoporotic fracture risk independently of bone mineral density (BMD) and whether this and any increase in mortality affects the assessment of fracture probability. METHODS A register-based survey of patients with PHPT and matched controls in Denmark were identified from hospital registers. The incidence of death, hip fracture, and major osteoporotic fracture were determined for computing fracture probabilities excluding time after parathyroidectomy. The gradient of risk for fracture for differences in BMD was determined in a subset of patients and in BMD controls. The severity of disease was based on serum calcium and parathyroid hormone levels. RESULTS We identified 6884 patients with biochemically confirmed PHPT and 68,665 matched population controls. On follow-up, excluding time after parathyroidectomy in those undergoing surgery, patients with PHPT had a higher risk of death (+52%), hip fracture (+48%), and major osteoporotic fracture (+36%) than population controls. At any given age, average 10-year probabilities of fracture were higher in patients with PHPT than population controls. The gradient of fracture risk with differences in BMD was similar in cases and controls. Results were similar when confined to patients not undergoing parathyroidectomy. Fracture probability decreased with the severity of disease due to an increase in mortality rather than fracture risk. CONCLUSION The risk of hip and other major osteoporotic fracture is increased in PHPT irrespective of the disease severity. Fracture probability was attenuated due to the competing effect of mortality. The increased fracture risk in patients treated conservatively argues for widening the indications for parathyroidectomy in mild PHPT.
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Affiliation(s)
- John A Kanis
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia.
- Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK.
| | - 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
| | - Enwu Liu
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
| | - Liesbeth 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
| | - Mattias Lorentzon
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
- Sahlgrenska Osteoporosis Centre, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
- Region Västra Götaland, Geriatric Medicine, Sahlgrenska University Hospital, Molndal, Sweden
| | - Eugene V McCloskey
- Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK
- Mellanby Centre for Musculoskeletal Research, Department of Oncology and Metabolism, University of Sheffield, Sheffield, UK
| | - Roger Bouillon
- Clinical and Experimental Endocrinology, Department of Chronic Diseases and Metabolism, KU Leuven, Louvain, Belgium
| | - Bo Abrahamsen
- Department of Clinical Research, University of Southern, Denmark and Odense University Hospital, Odense C, Denmark
- Department of Medicine, Holbæk Hospital, Holbaek, Denmark
- Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, Oxford University, Windmill Road, Oxford, OX3 7LD, UK
| | - Lars Rejnmark
- Department of Endocrinology and Internal Medicine, Aarhus University Hospital, Aarhus, Denmark
- Institute of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Helena Johansson
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
- Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK
- Sahlgrenska Osteoporosis Centre, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
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Schini M, Bhatia P, Shreef H, Johansson H, Harvey NC, Lorentzon M, Kanis JA, Bandmann O, McCloskey EV. Increased fracture risk in Parkinson's disease - An exploration of mechanisms and consequences for fracture prediction with FRAX. Bone 2023; 168:116651. [PMID: 36574893 DOI: 10.1016/j.bone.2022.116651] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Revised: 12/19/2022] [Accepted: 12/20/2022] [Indexed: 12/25/2022]
Abstract
The relative contributions of factors such as muscle strength, falls risk and low bone mineral density (BMD) to increased fracture risk in Parkinson's Disease (PD) were examined in an analysis of 5212 community-dwelling women age 75 years or more recruited to a randomised, double-blind, placebo-controlled study of the oral bisphosphonate, clodronate. Similar number of PD and non-PD subjects received treatment. Each participant had measurements of hip and forearm BMD, muscle strength (hand grip strength and maximum isometric quadriceps strength), ability in the sit-to-stand test, and postural stability. Incident radiographic and/or surgically verified fractures, and deaths, were recorded over an average follow-up of 3.8 years. A diagnosis of PD was made if it was self-reported and appropriate medication was recorded at the study entry. 47 of the women (0.9 %) had a diagnosis of PD at baseline. They were of similar age to those without PD, but reported higher disability scores and lower quality of life. While BMD at the forearm and hip regions was lower in PD, this only reached statistical significance at the femoral neck (0.61 ± 0.12 vs 0.65 ± 0.12 g/cm2, p = 0.037). Right hand grip strength was non-significantly lower in PD, but maximum right quadriceps strength was much reduced (96.9 ± 49.3 vs 126.3 ± 59.2 N, p = 0.003). Eleven (23.4 %) of the women with PD sustained 12 fractures, while 609 women (11.8 %) without PD sustained 742 osteoporotic fractures. The risk of osteoporotic fracture associated with PD was 2.24-fold higher in women with PD (Cox-regression HR 2.24, 95 % CI 1.23-4.06) and this remained high when adjusted for death as a competing risk (2.17, 95 % CI 1.17-4.01, p = 0.013). Following adjustment for femoral neck BMD, PD remained a significant predictor of fracture (HR 2.04, 1.12-3.70, p = 0.020). Entering PD as a risk variable using the rheumatoid arthritis input as a surrogate resulted in a reduction in PD as a FRAX-independent risk factor, particularly when BMD was included in FRAX (1.65, 95 % CI), but the relationship between PD and fracture risk appears to remain of clinical significance. The study suggests that PD may be an independent input in future iterations of FRAX, possibly due to non-skeletal components of risk such as reduced lower limb muscle strength. Introducing measures of muscle strength and performance in FRAX could also be considered.
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Affiliation(s)
- M Schini
- Mellanby Centre for Musculoskeletal Research, MRC Versus Arthritis Centre for Integrated research in Musculoskeletal Ageing, Department of Oncology & Metabolism, University of Sheffield, Sheffield, United Kingdom
| | - P Bhatia
- Mellanby Centre for Musculoskeletal Research, MRC Versus Arthritis Centre for Integrated research in Musculoskeletal Ageing, Department of Oncology & Metabolism, University of Sheffield, Sheffield, United Kingdom
| | - H Shreef
- Mellanby Centre for Musculoskeletal Research, MRC Versus Arthritis Centre for Integrated research in Musculoskeletal Ageing, Department of Oncology & Metabolism, University of Sheffield, Sheffield, United Kingdom
| | - H Johansson
- Sahlgrenska Osteoporosis Centre, Institute of Medicine, University of Gothenburg, Sweden; Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
| | - N C Harvey
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, United Kingdom; NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospitals Southampton NHS Foundation Trust, Southampton, United Kingdom
| | - M Lorentzon
- Sahlgrenska Osteoporosis Centre, Institute of Medicine, University of Gothenburg, Sweden; Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
| | - J A Kanis
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia; Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, United Kingdom
| | - O Bandmann
- Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, United Kingdom
| | - E V McCloskey
- Mellanby Centre for Musculoskeletal Research, MRC Versus Arthritis Centre for Integrated research in Musculoskeletal Ageing, Department of Oncology & Metabolism, University of Sheffield, Sheffield, United Kingdom; Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, United Kingdom.
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Witzel JC, Giessel A, Heppner C, Lamersdorf A, Leha A, Glüer CC, Siggelkow H. Discrepancies Between Osteoporotic Fracture Evaluations in Men Based on German (DVO) Osteoporosis Guidelines or the FRAX Score. Exp Clin Endocrinol Diabetes 2023; 131:114-122. [PMID: 36368694 DOI: 10.1055/a-1977-4413] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
INTRODUCTION Established scores estimate 10-year fracture risk in osteoporosis to assist with treatment recommendations. This study compared the risk probabilities of major osteoporotic and hip fractures calculated by the FRAX tool with those of the DVO score, established in German-speaking countries. MATERIAL AND METHODS This seven-year retrospective study analyzed data of 125 male patients (mean age: 59.2±10.7 years) evaluated for osteoporosis. For the DVO score, the therapy threshold of>30% for vertebral and hip fractures suggested by DVO guidelines was implemented. We calculated fracture risks based on FRAX scores with aBMD and applied a common therapy threshold of≥3% for hip fracture and subsequently determined the "DVO-equivalent risk level" for FRAX-based assessment that would identify as many male patients as identified by the DVO score. RESULTS Based on DVO score, 60.0% of patients had a 10-year risk of hip and vertebral fractures>30%. The recommendations for individuals based on FRAX scores for hip fracture with aBMD with risk≥3% overlapped with those based on DVO score in 36% of patients. Patients identified for treatment only by DVO score presented a higher percentage of spine fractures (65 vs. 41%). The thresholds for this "DVO-equivalent risk level" for 'FRAX with aBMD' was estimated to be≥6.7% for major osteoporotic fracture and≥2.1% for hip fracture.This study demonstrates that the DVO score was more sensitive than the FRAX score for patients with prevalent spinal fractures. We suggest considering the appropriate score and therapy threshold carefully in the daily care of male patients.
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Affiliation(s)
- J C Witzel
- Clinic of Gastroenterology, Gastrointestinal Oncology and Endocrinology, University Medical Center Göttingen, Robert-Koch-Str. Göttingen, Germany.,MVZ Endokrinologikum Göttingen, Von-Siebold-Str. Göttingen, Germany
| | - A Giessel
- Clinic of Gastroenterology, Gastrointestinal Oncology and Endocrinology, University Medical Center Göttingen, Robert-Koch-Str. Göttingen, Germany
| | - C Heppner
- MVZ Endokrinologikum Göttingen, Von-Siebold-Str. Göttingen, Germany
| | - A Lamersdorf
- MVZ Endokrinologikum Göttingen, Von-Siebold-Str. Göttingen, Germany
| | - A Leha
- Institute for Medical Statistics, University Medical Center Göttingen, Humboldtallee Göttingen, Germany
| | - C C Glüer
- Section Biomedical Imaging, Department of Radiology and Neuroradiology, MOINCC, Kiel, Germany
| | - H Siggelkow
- Clinic of Gastroenterology, Gastrointestinal Oncology and Endocrinology, University Medical Center Göttingen, Robert-Koch-Str. Göttingen, Germany.,MVZ Endokrinologikum Göttingen, Von-Siebold-Str. Göttingen, Germany
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35
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Teterina A, Niratisairak S, Morseth B, Bolstad N. Diagnostic efficacy of radiomorphometric indices for predicting osteoporosis in a Norwegian population in the Tromsø Study: Tromsø7. Oral Surg Oral Med Oral Pathol Oral Radiol 2023; 135:444-455. [PMID: 36517373 DOI: 10.1016/j.oooo.2022.10.039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Revised: 09/22/2022] [Accepted: 10/22/2022] [Indexed: 11/05/2022]
Abstract
OBJECTIVE The aim of this study was to investigate the diagnostic efficacy of the radiomorphometric indices of mandibular cortical width (MCW) and mandibular cortical index (MCI) of cortical erosion for osteoporosis screening in adults (≥40 years) and older adults (≥65 years) to determine whether adding a fracture risk assessment tool (FRAX) would improve efficacy. STUDY DESIGN One observer measured MCW and assessed MCI on dental panoramic radiographs acquired for patients in the Tromsø study. These indices, alone and with FRAX scores, were evaluated for efficacy in predicting osteoporosis, which was diagnosed by bone density measurement at the femoral necks with dual-energy X-ray absorptiometry. RESULTS MCW ≤3 mm and MCI indicating heavily eroded cortices (C3) had accuracies of 68.8% and 83.6%, respectively, in identifying osteoporosis. In females >65 years, MCW ≤3 mm and C3 produced higher sensitivities but lower specificities, with slightly lower accuracies (61.4% and 79.8%, respectively) compared with all females. The addition of FRAX scores >15% improved the accuracy of MCW ≤3 mm (81.7%) and C3 (87.9%), resulting in high specificity (86.6% and 95.4%). Combining MCW ≤3 mm or C3 with FRAX >15% increased the probabilities of detecting osteoporosis by increasing positive likelihood ratios. CONCLUSIONS MCW ≤3 mm or MCI C3, when combined with FRAX >15%, showed superior diagnostic efficacy, with high specificity in detecting females without osteoporosis.
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Affiliation(s)
- Anna Teterina
- Department of Clinical Dentistry, Faculty of Health Sciences, University of Tromsø-The Arctic University of Norway, Tromsø, Norway
| | - Sanyalak Niratisairak
- Department of Orthopedics, Institute for Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Bente Morseth
- School of Sport Sciences, Faculty of Health Sciences, University of Tromsø-The Arctic University of Norway, Tromsø, Norway
| | - Napat Bolstad
- Department of Clinical Dentistry, Faculty of Health Sciences, University of Tromsø-The Arctic University of Norway, Tromsø, Norway.
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36
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Belaya Z, Rozhinskaya L, Dedov I, Drapkina O, Fadeev V, Golounina O, Lesnyak O, Mamedova E, Melnichenko G, Petraikin A, Rodionova S, Skripnikova I, Tkacheva O, Toroptsova N, Yureneva S, Kanis JA. A summary of the Russian clinical guidelines on the diagnosis and treatment of osteoporosis. Osteoporos Int 2023; 34:429-447. [PMID: 36651943 DOI: 10.1007/s00198-022-06667-6] [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: 09/09/2022] [Accepted: 12/29/2022] [Indexed: 01/19/2023]
Abstract
UNLABELLED Key statements of the Russian clinical guidelines on the diagnosis and treatment of osteoporosis are summarized. They were developed by a task force representing the key Russian professional associations involved in the management of osteoporosis and approved by the Russian Ministry of Health. PURPOSE To summarize key statements of the Russian clinical practice guidelines for the diagnosis and treatment of osteoporosis. METHODS The Russian clinical guidelines on the diagnosis and treatment of osteoporosis were developed by a task force representing the key Russian professional associations involved in the management of osteoporosis: These comprised the Russian Association of Endocrinologists, the Russian Association for Osteoporosis, the Association of Rheumatologists of Russia, the Association of Orthopedic surgeons and Traumatologists of Russia, the Russian Association of Gynecologists-Endocrinologists, and the Russian Association of Gerontologists and Geriatrics. The guidelines are based on a systematic literature review and principles of evidence-based medicine and were compiled in accordance with the requirements for clinical recommendations developed by the Ministry of Health of the Russian Federation. RESULTS Key statements included in the Russian guidelines of osteoporosis approved by the Russian Ministry of Health in 2021 are summarized. The statements are graded based on levels of evidence and supported by short comments. The guidelines are focused on the current approach to screening, diagnosis, differential diagnosis, and treatment of osteoporosis. CONCLUSION These guidelines are a practical tool for general practitioners, as well as medical specialists, primarily endocrinologists, rheumatologists, orthopedic surgeons, and other physicians who are involved in the management of patients with osteoporosis.
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Affiliation(s)
- Zhanna Belaya
- Neuroendocrinology and Bone Diseases, Endocrinology Research Centre, Moscow, Russia.
| | - Liudmila Rozhinskaya
- Neuroendocrinology and Bone Diseases, Endocrinology Research Centre, Moscow, Russia
| | - Ivan Dedov
- Neuroendocrinology and Bone Diseases, Endocrinology Research Centre, Moscow, Russia
| | - Oksana Drapkina
- National Medical Research Center for Therapy and Preventive Medicine, Moscow, Russia
| | - Valentin Fadeev
- Department of Endocrinology, I.M. Sechenov First Moscow State Medical University of the Ministry of Health of the Russian Federation (Sechenov University), Moscow, Russia
| | - Olga Golounina
- Department of Endocrinology, I.M. Sechenov First Moscow State Medical University of the Ministry of Health of the Russian Federation (Sechenov University), Moscow, Russia
| | - Olga Lesnyak
- Family Medicine Department-Western State Medical University Named After I.I. Mechnikov, St. Petersburg, Russia
| | - Elizaveta Mamedova
- Neuroendocrinology and Bone Diseases, Endocrinology Research Centre, Moscow, Russia
| | - Galina Melnichenko
- Neuroendocrinology and Bone Diseases, Endocrinology Research Centre, Moscow, Russia
| | - Alexey Petraikin
- Department of Radiation Diagnostics, Research and Practical Clinical Center for Diagnostics, Telemedicine Technologies of Moscow Health Care Department, Moscow, Russia
| | - Svetlana Rodionova
- National Medical Research Center of Traumatology and Orthopedics named after. N.N. Priorov, Moscow, Russia
| | - Irina Skripnikova
- National Medical Research Center for Therapy and Preventive Medicine, Moscow, Russia
| | - Olga Tkacheva
- Russian National Research Medical University Named After N.I. Pirogov, Moscow, Russia
| | | | - Svetlana Yureneva
- Department of Gynecological Endocrinology, National Medical Research Center for Obstetrics, Gynecology and Perinatology Named After V.I. Kulakov, Moscow, Russia
| | - John A Kanis
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
- Center for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK
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37
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Ye C, Morin SN, Lix LM, McCloskey EV, Johansson H, Harvey NC, Kanis JA, Leslie WD. Performance of FRAX in Men With Prostate Cancer: A Registry-Based Cohort Study. J Bone Miner Res 2023; 38:659-664. [PMID: 36807916 DOI: 10.1002/jbmr.4793] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Revised: 01/27/2023] [Accepted: 02/17/2023] [Indexed: 02/22/2023]
Abstract
The Fracture Risk Assessment Tool (FRAX®) was created to predict major osteoporotic fractures (MOF) and hip fractures in the general population. Whether FRAX accurately predicts fractures in men with prostate cancer is unknown. Our objective was to assess the performance of FRAX for predicting incident fractures in men with prostate cancer. Men from the Manitoba Bone Mineral Density (BMD) Registry (1996-2018) with prostate cancer diagnoses in the 3 years prior to dual-energy X-ray absorptiometry (DXA) were identified. FRAX scores with and without BMD were calculated. From population-based healthcare data we identified incident MOF, hip fracture, any osteoporotic fracture and death from the date of BMD testing to March 31, 2018. Cox regression was performed to estimate hazard ratios (HRs) with 95% confidence intervals (95% CIs) per standard deviation increase in FRAX score. Observed 10-year probability (estimated with competing risk of mortality) was compared with 10-year FRAX-predicted fracture probability to assess calibration. The study population included 684 men with prostate cancer (mean age 74.6 years) and 8608 men without prostate cancer (mean age 65.5 years). FRAX stratified risk for MOF (HR 1.91, 95% CI 1.48-2.45 with BMD; HR 1.96, 95% CI 1.43-2.69 without BMD) and hip fracture (HR 3.37, 95% CI 1.90-6.01 with BMD; HR 4.58, 95% CI 2.17-9.67 without BMD) in men with prostate cancer. There was no effect modification observed with prostate cancer status or current androgen deprivation therapy. Observed 10-year fracture probability in men with prostate cancer showed good agreement with FRAX with and without BMD included in the calculation (observed/predicted calibration ratios MOF 0.97, hip 1.00 with BMD; MOF 0.92, hip 0.93 with BMD). In conclusion, FRAX reliably predicts incident fractures in men with prostate cancer. © 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)
- Carrie Ye
- University of Alberta, Edmonton, Canada
| | | | - Lisa M Lix
- University of Manitoba, Winnipeg, Canada
| | - Eugene V McCloskey
- Centre for Metabolic Bone Diseases, University of Sheffield Medical School, Sheffield, UK
- MRC Versus Arthritis Centre for Integrated Research in Musculoskeletal Ageing, Department of Oncology & Metabolism, University of Sheffield, Sheffield, UK
| | - Helena Johansson
- Centre for Metabolic Bone Diseases, University of Sheffield Medical School, Sheffield, UK
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
| | - 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
| | - John A Kanis
- Centre for Metabolic Bone Diseases, University of Sheffield Medical School, Sheffield, UK
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Chanidkul P, Sribenjalak D, Charoenngam N, Pongchaiyakul C. The proportion of Thai postmenopausal women who would be eligible for anti-osteoporosis therapy. PLoS One 2023; 18:e0279829. [PMID: 36735672 PMCID: PMC9897565 DOI: 10.1371/journal.pone.0279829] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2022] [Accepted: 12/05/2022] [Indexed: 02/04/2023] Open
Abstract
PURPOSE To determine the proportion of postmenopausal Thai women who would be classified as having high risk of fracture and eligible for anti-osteoporosis therapy according to the National Osteoporosis Foundation (NOF) criteria. METHODS Postmenopausal Thai women aged 40-90 years who had been screened for osteoporosis during 2014-2019 were recruited. Demographic data and osteoporosis risk factors were collected based on the Fracture Risk Assessment Tool (FRAX) questionnaire. Bone mineral density (BMD) at the femoral neck and lumbar spine measured using dual energy X-ray absorptiometry. Ten-year probabilities of hip and major osteoporotic fracture (MOF) were calculated based on the Thai FRAX model with BMD. The study's protocol was approved by the Institutional Ethical Committee (HE581241). RESULTS A total of 3,280 postmenopausal women were included. The mean ± SD age was 63.6 ± 10.1 years. A total of 170 (5.2%) participants had a history of hip and/or vertebral fracture. After excluding these participants with fracture history, 699 (21.3%) had osteoporosis, 355 (10.8%) had osteopenia with high risk of fracture (FRAX 10-year probability of hip fracture ≥ 3% and/or MOF ≥ 20%), 1192 (36.3%) had osteopenia with low risk of fracture (FRAX 10-year probability of hip fracture < 3% and MOF < 20%) and 864 (26.3%) had normal BMD. Taken together, a total of 1,224 (37.3%) participants would be eligible for anti-osteoporosis therapy (prior fracture, osteoporosis or osteopenia with high risk of fracture). CONCLUSION The prevalence of Thai postmenopausal women who would be eligible for anti-osteoporosis therapy was 37.3%.
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Affiliation(s)
- Piyachat Chanidkul
- Division of Endocrinology and Metabolism, Department of Medicine, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand
| | - Dueanchonnee Sribenjalak
- Division of Endocrinology and Metabolism, Department of Medicine, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand
| | - Nipith Charoenngam
- Department of Medicine, Mount Auburn Hospital, Harvard Medical School, Cambridge, Massachusetts, United States of America
- Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Chatlert Pongchaiyakul
- Division of Endocrinology and Metabolism, Department of Medicine, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand
- * E-mail:
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Chandran M, Brind'Amour K, Fujiwara S, Ha YC, Tang H, Hwang JS, Tinker J, Eisman JA. Prevalence of osteoporosis and incidence of related fractures in developed economies in the Asia Pacific region: a systematic review. Osteoporos Int 2023; 34:1037-1053. [PMID: 36735053 DOI: 10.1007/s00198-022-06657-8] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Accepted: 12/21/2022] [Indexed: 02/04/2023]
Abstract
UNLABELLED Robust data on osteoporosis in the Asia Pacific region could improve healthcare decision-making. Osteoporosis affects 10-30% of women aged 40 + , and up to 10% of men in 7 developed economies in Asia Pacific. Fractures affect 500-1000 adults aged 50 + per 100,000 person-years. Policymakers and clinicians must address this problem. PURPOSE Osteoporosis and associated fractures result in considerable morbidity, loss of productivity, early mortality, and increased healthcare expenses. Many countries in the Asia Pacific (AP) region, especially middle- and higher-income economies, are faced with aging and increasingly sedentary populations. It is critical to consolidate and analyze the available information on the prevalence and incidence of the disease in these countries. METHODS We systematically reviewed articles and gray literature for Australia, China, Hong Kong, Japan, Singapore, South Korea, and Taiwan. We searched PubMed, ScienceDirect, JSTOR, Cochrane, Google Scholar, and other databases for data published 2009-2018. We included articles with prevalence or incidence estimates for adults with osteoporosis or related fractures. RESULTS All locations had data available, but of widely varying quantity and quality. Most estimates for osteoporosis prevalence ranged from 10 to 30% for women ages 40 and older, and up to 10% for men. Osteoporotic fracture incidence typically ranged between 500 and 1000 per 100,000 person-years among adults aged 50 and older. Both outcomes typically increased with age and were more common among women. CONCLUSION Osteoporosis and associated fractures affect significant portions of the adult population in developed economies in the AP region. Governments and healthcare systems must consider how best to prevent and diagnose osteoporosis, and manage affected individuals, to reduce healthcare costs and mortality associated with fractures.
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Affiliation(s)
- Manju Chandran
- Osteoporosis and Bone Metabolism Unit, Department of Endocrinology, Singapore General Hospital, Academia, 20 College Road, Singapore, 169856, Singapore.
| | | | - Saeko Fujiwara
- Department of Pharmacy, Yasuda Women's University, Hiroshima, Japan
| | - Yong-Chan Ha
- Department of Orthopaedic Surgery, Seoul Bumin Hospital, Seoul, South Korea
| | - Hai Tang
- Department of Orthopedics, Beijing Friendship Hospital, Capital Medical University, Beijing, Republic of China
| | - Jawl-Shan Hwang
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Chang Gung Memorial Hospital, Chang Gung University, Taoyuan, Taiwan
| | | | - John A Eisman
- UNSW Sydney and School of Medicine Sydney, Garvan Institute of Medical Research, St Vincent's Hospital, University of Notre Dame Australia, Sydney, NSW, Australia
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40
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Lee KA, Kim HJ, Kim HS. Comparison of predictive value of FRAX, trabecular bone score, and bone mineral density for vertebral fractures in systemic sclerosis: A cross-sectional study. Medicine (Baltimore) 2023; 102:e32580. [PMID: 36637920 PMCID: PMC9839281 DOI: 10.1097/md.0000000000032580] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/14/2023] Open
Abstract
Assessing fracture risk is important for managing patients with systemic sclerosis (SSc). Vertebral fracture (VF) is the most common fracture and is associated with future VF and non-VF. We aimed to evaluate the predictive value of FRAX, trabecular bone score (TBS), and bone mineral density (BMD) for VFs, compared to rheumatoid arthritis (RA) patients and postmenopausal women, and to identify risk factors for VFs in SSc. In this cross-sectional study, prevalent VFs, 10-year probability of major osteoporotic fracture by FRAX (FRAX-MOF), TBS, and BMD were assessed in women with SSc (n = 69) and RA (n = 58), and postmenopausal women (n = 38). Risk factors for osteoporosis, modified Rodnan total skin score (mRSS), organ involvement, and patterns of nailfold capillaroscopy (NFC) were also evaluated. The accuracy of BMD (T-score ≤ -2.5), TBS and FRAX-MOF, with and without TBS adjustment, to detect prevalent VF was assessed by determining the area under the receiver operating characteristic (ROC) curve. Patients with SSc (14.5%) and RA (17.2%) had significantly more VFs than postmenopausal women (0%) (P = .031). Non-significant differences were observed in TBS and BMD of all groups. The FRAX-MOF were higher in RA (9.2%) than SSc group (6.1%) and postmenopausal women (5.5%) (P < .001). Based on the ROC curve, TBS-adjusted FRAX-MOF (0.803) showed largest area under curve (AUC) to detect the prevalent VFs, followed by FRAX-MOF (0.796), TBS (0.765), and BMD (0.588) in the SSc group. In the RA group, FRAX-MOF had the largest AUC (0.896), followed by TBS-adjusted FRAX-MOF (0.863), TBS (0.736), and BMD (0.686). The cutoffs for FRAX-MOF and TBS-adjusted FRAX-MOF for detecting VFs were 8.95% and 9.7% for SSc, and 14.5% and 14% for RA. No association between VFs and SSc subtypes, organ involvement, mRSS or NFC patterns was found. FRAX-MOF, with or without TBS, had better predictive value for VFs than BMD and TBS in SSc. However, FRAX-MOF underestimated the probability of VFs in SSc compared with RA.
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Affiliation(s)
- Kyung-Ann Lee
- Division of Rheumatology, Department of Internal Medicine, Soonchunhyang University Seoul Hospital, Soonchunhyang University School of Medicine, Seoul, South Korea
| | - Hyun-Joo Kim
- Department of Radiology, Soonchunhyang University Seoul Hospital, Soonchunhyang University School of Medicine, Seoul, South Korea
| | - Hyun-Sook Kim
- Division of Rheumatology, Department of Internal Medicine, Soonchunhyang University Seoul Hospital, Soonchunhyang University School of Medicine, Seoul, South Korea
- * Correspondence: Hyun-Sook Kim, Division of Rheumatology, Department of Internal Medicine, Soonchunhyang University Seoul Hospital, 59 Daesagwan-ro, Yongsan-gu, Seoul 04401, South Korea (e-mail: )
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Ross J, Bowden MR, Yu C, Diaz-Thomas A. Transition of young adults with metabolic bone diseases to adult care. Front Endocrinol (Lausanne) 2023; 14:1137976. [PMID: 37008909 PMCID: PMC10064010 DOI: 10.3389/fendo.2023.1137976] [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: 01/05/2023] [Accepted: 03/06/2023] [Indexed: 03/19/2023] Open
Abstract
As more accurate diagnostic tools and targeted therapies become increasingly available for pediatric metabolic bone diseases, affected children have a better prognosis and significantly longer lifespan. With this potential for fulfilling lives as adults comes the need for dedicated transition and intentional care of these patients as adults. Much work has gone into improving the transitions of medically fragile children into adulthood, encompassing endocrinologic conditions like type 1 diabetes mellitus and congenital adrenal hyperplasia. However, there are gaps in the literature regarding similar guidance concerning metabolic bone conditions. This article intends to provide a brief review of research and guidelines for transitions of care more generally, followed by a more detailed treatment of bone disorders specifically. Considerations for such transitions include final adult height, fertility, fetal risk, heritability, and access to appropriately identified specialists. A nutrient-dense diet, optimal mobility, and adequate vitamin D stores are protective factors for these conditions. Primary bone disorders include hypophosphatasia, X-linked hypophosphatemic rickets, and osteogenesis imperfecta. Metabolic bone disease can also develop secondarily as a sequela of such diverse exposures as hypogonadism, a history of eating disorder, and cancer treatment. This article synthesizes research by experts of these specific disorders to describe what is known in this field of transition medicine for metabolic bone diseases as well as unanswered questions. The long-term objective is to develop and implement strategies for successful transitions for all patients affected by these various conditions.
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Affiliation(s)
- Jordan Ross
- Division of Pediatric Endocrinology, University of Tennessee Health Science Center, Memphis, TN, United States
- *Correspondence: Jordan Ross,
| | - Michelle R. Bowden
- Division of General Pediatrics, University of Tennessee Health Science Center, Memphis, TN, United States
- Le Bonheur Children’s Hospital, Memphis, TN, United States
| | - Christine Yu
- Endocrinology Division, St. Jude Children’s Research Hospital, Memphis, TN, United States
| | - Alicia Diaz-Thomas
- Division of Pediatric Endocrinology, University of Tennessee Health Science Center, Memphis, TN, United States
- Le Bonheur Children’s Hospital, Memphis, TN, United States
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Sabri SA, Chavarria JC, Ackert-Bicknell C, Swanson C, Burger E. Osteoporosis: An Update on Screening, Diagnosis, Evaluation, and Treatment. Orthopedics 2023; 46:e20-e26. [PMID: 35876780 PMCID: PMC10084730 DOI: 10.3928/01477447-20220719-03] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
Osteoporosis screening, diagnosis, and treatment have gained much attention in the health care community over the past 2 decades. During this time, creation of multispecialty awareness programs (eg, "Own the Bone," American Orthopedic Association; "Capture the Fracture," International Osteoporosis Foundation) and improvements in diagnostic protocols have been evident. Significant advances in technology have elucidated elements of genetic predisposition for decreased bone mineral density in the aging population. Additionally, several novel drug therapies have entered the market and provide more options for primary care and osteoporosis specialists to medically manage patients at risk for fragility fractures. Despite this, adherence to osteoporosis screening and treatment protocols has been surprisingly low by health care practitioners, including orthopedic surgeons. Continued awareness and education of this skeletal disorder is crucial to effectively care for our aging population. [Orthopedics. 2023;46(1):e20-e26.].
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Affiliation(s)
- Shahbaaz A. Sabri
- University of Colorado School of Medicine, Department of
Orthopedic Surgery, Denver, CO
| | - Joseph C. Chavarria
- University of Colorado School of Medicine, Department of
Orthopedic Surgery, Denver, CO
| | | | - Christine Swanson
- University of Colorado School of Medicine, Department of
Endocrinology, Metabolism and Diabetes Denver, CO
| | - Evalina Burger
- University of Colorado School of Medicine, Department of
Orthopedic Surgery, Denver, CO
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43
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Kanis JA, McCloskey EV, Harvey NC, Cooper C, Rizzoli R, Dawson-Hughes B, Maggi S, Reginster JY. The need to distinguish intervention thresholds and diagnostic thresholds in the management of osteoporosis. Osteoporos Int 2023; 34:1-9. [PMID: 36282342 DOI: 10.1007/s00198-022-06567-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/03/2022] [Accepted: 09/30/2022] [Indexed: 01/07/2023]
Abstract
This position paper of the International Osteoporosis Foundation (IOF) and the European Society for Clinical and Economic Aspects of Osteoporosis, Osteoarthritis and Musculoskeletal Diseases (ESCEO) addresses the rationale for separate diagnostic and intervention thresholds in osteoporosis. We conclude that the current BMD-based diagnostic criteria for osteoporosis be retained whilst clarity is brought to bear on the distinction between diagnostic and intervention thresholds.
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Affiliation(s)
- John A Kanis
- Centre for Metabolic Bone Diseases, University of Sheffield Medical School, Beech Hill Road, Sheffield, S10 2RX, UK.
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia.
| | - Eugene V McCloskey
- Centre for Metabolic Bone Diseases, University of Sheffield Medical School, Beech Hill Road, Sheffield, S10 2RX, UK
- Centre for Integrated Research in Musculoskeletal Ageing (CIMA), Mellanby Centre for Musculoskeletal Research, University of Sheffield, Sheffield, UK
| | - Nicholas C Harvey
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, SO16 6YD, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Tremona Road, Southampton, UK
| | - Cyrus Cooper
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, SO16 6YD, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Tremona Road, Southampton, UK
- NIHR Oxford Biomedical Research Centre, University of Oxford, Oxford, UK
| | - Rene Rizzoli
- Service of Bone Diseases, Geneva University Hospitals and Faculty of Medicine, 1211, Geneva 14, Switzerland
| | - Bess Dawson-Hughes
- Jean Mayer USDA Human Nutrition Research Center On Aging, Tufts University, Boston, MA, USA
| | - Stefania Maggi
- Institute of Neuroscience, Aging Branch, CNR, Padua, Italy
| | - Jean-Yves Reginster
- WHO Collaborating Center for Epidemiology of Musculoskeletal Health and Aging, Liege, Belgium
- Division of Public Health, Epidemiology and Health Economics, University of Liège, CHU Sart Tilman B23, 4000, Liege, Belgium
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Corrao G, Biffi A, Porcu G, Ronco R, Adami G, Alvaro R, Bogini R, Caputi AP, Cianferotti L, Frediani B, Gatti D, Gonnelli S, Iolascon G, Lenzi A, Leone S, Michieli R, Migliaccio S, Nicoletti T, Paoletta M, Pennini A, Piccirilli E, Rossini M, Tarantino U, Brandi ML. Executive summary: Italian guidelines for diagnosis, risk stratification, and care continuity of fragility fractures 2021. Front Endocrinol (Lausanne) 2023; 14:1137671. [PMID: 37143730 PMCID: PMC10151776 DOI: 10.3389/fendo.2023.1137671] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Accepted: 03/27/2023] [Indexed: 05/06/2023] Open
Abstract
Background Fragility fractures are a major public health concern owing to their worrying and growing burden and their onerous burden upon health systems. There is now a substantial body of evidence that individuals who have already suffered a fragility fracture are at a greater risk for further fractures, thus suggesting the potential for secondary prevention in this field. Purpose This guideline aims to provide evidence-based recommendations for recognizing, stratifying the risk, treating, and managing patients with fragility fracture. This is a summary version of the full Italian guideline. Methods The Italian Fragility Fracture Team appointed by the Italian National Health Institute was employed from January 2020 to February 2021 to (i) identify previously published systematic reviews and guidelines on the field, (ii) formulate relevant clinical questions, (iii) systematically review literature and summarize evidence, (iv) draft the Evidence to Decision Framework, and (v) formulate recommendations. Results Overall, 351 original papers were included in our systematic review to answer six clinical questions. Recommendations were categorized into issues concerning (i) frailty recognition as the cause of bone fracture, (ii) (re)fracture risk assessment, for prioritizing interventions, and (iii) treatment and management of patients experiencing fragility fractures. Six recommendations were overall developed, of which one, four, and one were of high, moderate, and low quality, respectively. Conclusions The current guidelines provide guidance to support individualized management of patients experiencing non-traumatic bone fracture to benefit from secondary prevention of (re)fracture. Although our recommendations are based on the best available evidence, questionable quality evidence is still available for some relevant clinical questions, so future research has the potential to reduce uncertainty about the effects of intervention and the reasons for doing so at a reasonable cost.
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Affiliation(s)
- Giovanni Corrao
- National Centre for Healthcare Research and Pharmacoepidemiology, Laboratory of the University of Milano-Bicocca, Milan, Italy
- Department of Statistics and Quantitative Methods, Unit of Biostatistics, Epidemiology, and Public Health, University of Milano-Bicocca, Milan, Italy
- *Correspondence: Giovanni Corrao, ; Maria Luisa Brandi,
| | - Annalisa Biffi
- National Centre for Healthcare Research and Pharmacoepidemiology, Laboratory of the University of Milano-Bicocca, Milan, Italy
- Department of Statistics and Quantitative Methods, Unit of Biostatistics, Epidemiology, and Public Health, University of Milano-Bicocca, Milan, Italy
| | - Gloria Porcu
- National Centre for Healthcare Research and Pharmacoepidemiology, Laboratory of the University of Milano-Bicocca, Milan, Italy
- Department of Statistics and Quantitative Methods, Unit of Biostatistics, Epidemiology, and Public Health, University of Milano-Bicocca, Milan, Italy
| | - Raffaella Ronco
- National Centre for Healthcare Research and Pharmacoepidemiology, Laboratory of the University of Milano-Bicocca, Milan, Italy
- Department of Statistics and Quantitative Methods, Unit of Biostatistics, Epidemiology, and Public Health, University of Milano-Bicocca, Milan, Italy
| | | | - Rosaria Alvaro
- Department of Biomedicine and Prevention, University of Rome Tor Vergata, Rome, Italy
| | | | | | - Luisella Cianferotti
- Italian Bone Disease Research Foundation, Fondazione Italiana Ricerca sulle Malattie dell’Osso (FIRMO), Florence, Italy
| | - Bruno Frediani
- Department of Medicine, Surgery and Neurosciences, Rheumatology Unit, University of Siena, Azienda Ospedaliero-Universitaria Senese, Siena, Italy
| | - Davide Gatti
- Rheumatology Unit, University of Verona, Verona, Italy
| | - Stefano Gonnelli
- Department of Medicine, Surgery and Neuroscience, Policlinico Le Scotte, University of Siena, Siena, Italy
| | - Giovanni Iolascon
- Department of Medical and Surgical Specialties and Dentistry, University of Campania “Luigi Vanvitelli”, Naples, Italy
| | - Andrea Lenzi
- Department of Experimental Medicine, Sapienza University of Rome, Viale del Policlinico, Rome, Italy
| | - Salvatore Leone
- AMICI Onlus, Associazione Nazionale per le Malattie Infiammatorie Croniche dell’Intestino, Milan, Italy
| | - Raffaella Michieli
- Italian Society of General Medicine and Primary Care Società Italiana di Medicina Generale e delle cure primarie (SIMG), Florence, Italy
| | - Silvia Migliaccio
- Department of Movement, Human and Health Sciences, Foro Italico University, Rome, Italy
| | - Tiziana Nicoletti
- CnAMC, Coordinamento nazionale delle Associazioni dei Malati Cronici e rari di Cittadinanzattiva, Rome, Italy
| | - Marco Paoletta
- Department of Medical and Surgical Specialties and Dentistry, University of Campania “Luigi Vanvitelli”, Naples, Italy
| | - Annalisa Pennini
- Department of Biomedicine and Prevention, University of Rome Tor Vergata, Rome, Italy
| | - Eleonora Piccirilli
- Department of Clinical Sciences and Translational Medicine, University of Rome “Tor Vergata”, Rome, Italy
- Department of Orthopedics and Traumatology, “Policlinico Tor Vergata” Foundation, Rome, Italy
| | | | - Umberto Tarantino
- Department of Clinical Sciences and Translational Medicine, University of Rome “Tor Vergata”, Rome, Italy
- Department of Orthopedics and Traumatology, “Policlinico Tor Vergata” Foundation, Rome, Italy
| | - Maria Luisa Brandi
- Italian Bone Disease Research Foundation, Fondazione Italiana Ricerca sulle Malattie dell’Osso (FIRMO), Florence, Italy
- *Correspondence: Giovanni Corrao, ; Maria Luisa Brandi,
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A Review on the Recent Trend in Osteoporosis Highly Cited Papers. Clin Rev Bone Miner Metab 2022. [DOI: 10.1007/s12018-022-09285-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
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Agarwal A, Baleanu F, Moreau M, Charles A, Iconaru L, Surquin M, Benoit F, Paesmans M, Karmali R, Bergmann P, Body JJ, Leslie WD. External validation of FRISBEE 5-year fracture prediction models: a registry-based cohort study. Arch Osteoporos 2022; 18:13. [PMID: 36564674 DOI: 10.1007/s11657-022-01205-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Accepted: 12/18/2022] [Indexed: 12/24/2022]
Abstract
Five-year fracture risk prediction from the Fracture Risk Brussels Epidemiological Enquiry (FRISBEE) models was externally tested in 9716 Canadian women and demonstrated good discrimination but consistently overestimated risk. INTRODUCTION Five-year risk prediction models for all fractures, major osteoporotic fractures (MOFs) and central fractures (proximal to forearm and ankle) from the FRISBEE cohort demonstrated good performance in the original derivation cohort. Our aim was to externally validate the FRISBEE-based 5-year prediction models in routine practice. METHODS Using the population-based Manitoba Bone Mineral Density (BMD) registry, we identified women aged 60-85 years undergoing baseline BMD assessment from September 1, 2012 to March 31, 2018. Five-year probabilities of all fractures, MOFs and central fractures were calculated using the FRISBEE prediction models. We identified incident non-traumatic fractures up to 5 years from population-based healthcare data sources. Performance characteristics included area under the receiver operating characteristic curve (AUROC), gradient of risk (hazard ratio [HR] per SD increase and across risk tertiles) from Cox regression analysis, and calibration (ratio 5-year observed cumulative incidence to predicted fracture probability). RESULTS We included 9716 women (mean age 70.7 + / - SD 5.3 years). During a mean observation time of 2.5 years, all fractures, MOFs and central fractures were identified in 377 (3.9%), 264 (2.7%) and 259 (2.7%) of the women. AUROC showed significant fracture risk stratification with the FRISBEE models (all fractures 0.69 [95%CI 0.67-0.72], MOFs 0.71 [95%CI 0.68-0.74], central fractures 0.72 [95%CI 0.69-0.75]). There was a strong gradient of risk for predicting fracture outcomes per SD increase (HRs from 1.98 to 2.26) and across risk tertiles (HRs for middle vs lowest from 2.25 to 2.41, HRs for highest vs lowest from 4.70 to 6.50). However, risk was overestimated for all fractures (calibration-in-the-large 0.63, calibration slope 0.63), MOF (calibration-in-the-large 0.51, calibration slope 0.57) and central fractures (calibration-in-the-large 0.55, calibration slope 0.60). CONCLUSIONS FRISBEE 5-year prediction models were externally validated to stratify fracture risk similar to the derivation cohort, but would need recalibration for Canada as risk was overestimated.
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Affiliation(s)
- Arnav Agarwal
- Division of General Internal Medicine, Department of Medicine, McMaster University, Hamilton, ON, Canada
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, ON, Canada
| | - Felicia Baleanu
- Department of Endocrinology, CHU Brugmann, Université Libre de Bruxelles, Brussels, Belgium
- Department of Medicine, CHU Brugmann, Université Libre de Bruxelles, Brussels, Belgium
| | - Michel Moreau
- Data Centre, Inst. J. Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - Alexia Charles
- Department of Medicine, CHU Brugmann, Université Libre de Bruxelles, Brussels, Belgium
| | - Laura Iconaru
- Department of Endocrinology, CHU Brugmann, Université Libre de Bruxelles, Brussels, Belgium
- Department of Medicine, CHU Brugmann, Université Libre de Bruxelles, Brussels, Belgium
| | - Murielle Surquin
- Department of Medicine, CHU Brugmann, Université Libre de Bruxelles, Brussels, Belgium
| | - Florence Benoit
- Department of Medicine, CHU Brugmann, Université Libre de Bruxelles, Brussels, Belgium
| | - Marianne Paesmans
- Data Centre, Inst. J. Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - Rafik Karmali
- Department of Endocrinology, CHU Brugmann, Université Libre de Bruxelles, Brussels, Belgium
| | - Pierre Bergmann
- Laboratoire de Recherche Translationnelle, CHU Brugmann, Université Libre de Bruxelles, Brussels, Belgium
- Department of Nuclear Medicine, CHU Brugmann, Université Libre de Bruxelles, Brussels, Belgium
| | - Jean-Jacques Body
- Department of Endocrinology, CHU Brugmann, Université Libre de Bruxelles, Brussels, Belgium
- Department of Medicine, CHU Brugmann, Université Libre de Bruxelles, Brussels, Belgium
- Laboratoire de Recherche Translationnelle, CHU Brugmann, Université Libre de Bruxelles, Brussels, Belgium
| | - William D Leslie
- Department of Medicine (C5121), University of Manitoba, 409 Tache Avenue, Winnipeg, MB, R2H 2A6, Canada.
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Gavilanez EL, Luis IN, Mario NG, Johansson H, Harvey NC, Lorentzon M, Liu E, Vandenput L, McCloskey EV, Kanis JA. An assessment of intervention thresholds for high fracture risk in Chile. Arch Osteoporos 2022; 18:11. [PMID: 36527508 DOI: 10.1007/s11657-022-01198-3] [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: 10/13/2022] [Accepted: 12/01/2022] [Indexed: 12/23/2022]
Abstract
Assessment and treatment pathways using FRAX-based intervention thresholds in Chile can be used to identify patients at high risk of fracture and avoid unnecessary treatment in those at low fracture risk. PURPOSE The aim of the present study was to explore treatment paths and characteristics of women eligible for treatment in Chile based on major osteoporotic fracture (MOF) probabilities derived from FRAX®. METHODS Intervention and assessment thresholds were derived using methods adopted by the National Osteoporosis Guideline Group for FRAX-based guidelines in the UK but based on the epidemiology of fracture and death in Chile. Age-dependent and hybrid assessment and intervention thresholds were applied to 1998 women and 1122 men age 50 years or more drawn from participants in the National Health Survey 2016-2017. RESULTS Approximately 12% of men and women had a prior fragility fracture and would be eligible for treatment for this reason. Using age-dependent thresholds, an additional 2.6% of women (0.3% of men) were eligible for treatment in that MOF probabilities lay above the upper assessment threshold. A BMD test would be recommended in 5% of men and 38% of women. With hybrid thresholds, an additional 13% of women (3.6% of men) were eligible for treatment and BMD recommended in 11% of men and 42% of women. CONCLUSION The application of hybrid intervention thresholds ameliorates the disparity in fracture probabilities seen with age-dependent thresholds. Probability-based assessment of fracture risk, including the use of the hybrid intervention thresholds for Chile, is expected to help guide decisions about treatment.
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Affiliation(s)
- Enrique Lopez Gavilanez
- AECE Research Group, The Association of Clinical Endocrinologists of Ecuador, Guayaquil, Ecuador
- Hospital Docente de La Policía Nacional Guayaquil #2, Guayaquil, Ecuador
| | - Imaicela N Luis
- AECE Research Group, The Association of Clinical Endocrinologists of Ecuador, Guayaquil, Ecuador
| | - Navarro G Mario
- AECE Research Group, The Association of Clinical Endocrinologists of Ecuador, Guayaquil, Ecuador
| | - Helena Johansson
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
- Centre for Metabolic Bone Diseases, University of Sheffield Medical School, Beech Hill Road, Sheffield, S10 2RX, UK
- Sahlgrenska Osteoporosis Centre, Institute of Medicine, University of Gothenburg, Gothenburg, 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
| | - Mattias Lorentzon
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
- Sahlgrenska Osteoporosis Centre, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Enwu Liu
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
| | - Liesbeth Vandenput
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
- Sahlgrenska Osteoporosis Centre, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Eugene V McCloskey
- Centre for Metabolic Bone Diseases, University of Sheffield Medical School, Beech Hill Road, Sheffield, S10 2RX, UK
- Department of Oncology and Metabolism, Mellanby Centre for Musculoskeletal Research, University of Sheffield, Sheffield, UK
| | - John A Kanis
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia.
- Centre for Metabolic Bone Diseases, University of Sheffield Medical School, Beech Hill Road, Sheffield, S10 2RX, UK.
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Bartosch P, Malmgren L. Can frailty in conjunction with FRAX identify additional women at risk of fracture - a longitudinal cohort study of community dwelling older women. BMC Geriatr 2022; 22:951. [PMID: 36494774 PMCID: PMC9733205 DOI: 10.1186/s12877-022-03639-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Accepted: 11/21/2022] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Fracture risk assessment is still far from perfect within the geriatric population. The overall aim of this study is to better identify older women at risk for fractures, using a quantitative measure of frailty in conjunction with the web-based Fracture Risk Assessment Tool (FRAX®). METHODS This study was performed in the Osteoporosis Risk Assessment (OPRA) cohort of n = 1023, 75-year-old women followed for 10-years. A frailty index (FI) of 'deficits in health' was created, and FRAX 10-year probability for major osteoporotic and hip fractures was calculated and bone mineral density measured. Incident fractures were continuously registered for 10-years. Receiver Operating Characteristic (ROC) curves were used to compare FI, FRAX and the combination FI + FRAX as instruments for risk prediction. Discriminative ability was estimated by comparing Area Under the Curve (AUC). In addition, using guidelines from the Swedish Osteoporosis Foundation, a category of low risk women who would not have been recommended for pharmacological treatment (non-treatment group) was identified, categorized by frailty status and for relative risk analysis, hazard ratios (HR) and 95% confidence intervals were calculated using Cox proportional hazard regressions. RESULTS For hip fracture, FRAX and frailty performed almost equally (HIP AUC 10y: 0.566 vs. 0.567, p = 0.015 and p = 0.013). Next, FI was used in conjunction with FRAX; proving marginally better than either score alone (AUC 10y: 0.584, p = 0.002). Comparable results were observed for osteoporotic fracture. In the non-treatment group (564 women), being frail was associated with higher 10y hip fracture risk (HR 2.01 (1.13-3.57)), although failing to reach statistical significance for osteoporotic fracture (HR 1.40 (0.97-2.01). The utility of measuring frailty was also demonstrated when using T-score as an index of bone density to define fracture risk. Among n = 678 non-osteoporotic women, frailty added to the 10-year fracture risk (Hip; HR 2.22 (1.35-3.71); Osteoporotic fracture; HR 1.57 (1.15-2.14)). CONCLUSIONS While the addition of frailty to FRAX marginally improved fracture prediction, applying a frailty measurement to a group of 'low risk' women, identified a set of individuals with high actual hip fracture risk that would not be prioritized for pharmacological treatment. Further cost-benefit analysis studies are needed to formally test potential benefit.
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Affiliation(s)
- Patrik Bartosch
- grid.4514.40000 0001 0930 2361Department of Clinical Sciences Malmö, Clinical and Molecular Osteoporosis Research Unit, Lund University, 214 28 Malmö, Sweden ,grid.411843.b0000 0004 0623 9987Department of Orthopaedics, Skåne University Hospital, Malmö, Sweden
| | - Linnea Malmgren
- grid.4514.40000 0001 0930 2361Department of Clinical Sciences Malmö, Clinical and Molecular Osteoporosis Research Unit, Lund University, 214 28 Malmö, Sweden ,grid.411843.b0000 0004 0623 9987Department of Geriatrics, Skåne University Hospital, 205 02 Malmö, Sweden
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Liang B, Burley G, Lin S, Shi YC. Osteoporosis pathogenesis and treatment: existing and emerging avenues. Cell Mol Biol Lett 2022; 27:72. [PMID: 36058940 PMCID: PMC9441049 DOI: 10.1186/s11658-022-00371-3] [Citation(s) in RCA: 47] [Impact Index Per Article: 23.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2022] [Accepted: 08/09/2022] [Indexed: 11/10/2022] Open
Abstract
AbstractOsteoporotic fractures lead to increased disability and mortality in the elderly population. With the rapid increase in the aging population around the globe, more effective treatments for osteoporosis and osteoporotic fractures are urgently required. The underlying molecular mechanisms of osteoporosis are believed to be due to the increased activity of osteoclasts, decreased activity of osteoblasts, or both, which leads to an imbalance in the bone remodeling process with accelerated bone resorption and attenuated bone formation. Currently, the available clinical treatments for osteoporosis have mostly focused on factors influencing bone remodeling; however, they have their own limitations and side effects. Recently, cytokine immunotherapy, gene therapy, and stem cell therapy have become new approaches for the treatment of various diseases. This article reviews the latest research on bone remodeling mechanisms, as well as how this underpins current and potential novel treatments for osteoporosis.
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Binney N. Osteoporosis and risk of fracture: reference class problems are real. THEORETICAL MEDICINE AND BIOETHICS 2022; 43:375-400. [PMID: 36114828 PMCID: PMC9700603 DOI: 10.1007/s11017-022-09590-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/16/2020] [Revised: 08/02/2022] [Accepted: 08/03/2022] [Indexed: 05/21/2023]
Abstract
Elselijn Kingma argues that Christopher Boorse's biostatistical theory does not show how the reference classes it uses-namely, age groups of a sex of a species-are objective and naturalistic. Boorse has replied that this objection is of no concern, because there are no examples of clinicians' choosing to use reference classes other than the ones he suggests. Boorse argues that clinicians use the reference classes they do because these reflect the natural classes of organisms to which their patients belong. Drawing on a thorough exploration of how the disease osteoporosis is defined in adults, I argue that clinicians do indeed make choices about which reference classes to use in diagnosis. Clinicians use young adult reference classes to diagnose osteoporosis in elderly patients. They also use young female reference classes to diagnose osteoporosis in elderly males. Clinicians adjust their reference classes so that the diagnosis of osteoporosis reflects a person's risk of sustaining a fragility fracture. The ethical intuition that people with the same risk of fracture should receive the same diagnosis overwhelms the naturalistic intuition that reference classes should reflect natural classes of organisms of uniform functional design. Clinicians construct a variety of reference class types, including pathological reference classes and epidemiological population-specific reference classes, to serve this ethical intuition. I show how clinicians use several reference classes at once so that they can more accurately predict risk of fracture. Ultimately, the reference classes chosen and used in medical practice are quite different from those proposed in naturalistic philosophy of medicine.
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Affiliation(s)
- Nicholas Binney
- Department of Medical Ethics, Philosophy and History of Medicine, Room Na 24-15, PO Box 2040, 3000 CA, Erasmus, Rotterdam, MC, The Netherlands.
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