Background Bone fracture risk assessment for osteoporotic patients is essential for implementing early countermeasures and preventing discomfort and hospitalization. Current methodologies, such as Fracture Risk Assessment Tool (FRAX), provide a risk assessment over a 5- to 10-year period rather than evaluating the bone’s current health status.
Methods The database was collected by Ajou University Medical Center from 2017 to 2021. It included 9,260 patients, aged 55 to 99, comprising 242 femur fracture (FX) cases and 9,018 non-fracture (NFX) cases. To model the association of the bone’s current health status with prevalent FXs, three prediction algorithms—extreme gradient boosting (XGB), support vector machine, and multilayer perceptron—were trained using two-dimensional dual-energy X-ray absorptiometry (2D-DXA) analysis results and subsequently benchmarked. The XGB classifier, which proved most effective, was then further refined using synthetic data generated by the adaptive synthetic oversampler to balance the FX and NFX classes and enhance boundary sharpness for better classification accuracy.
Results The XGB model trained on raw data demonstrated good prediction capabilities, with an area under the curve (AUC) of 0.78 and an F1 score of 0.71 on test cases. The inclusion of synthetic data improved classification accuracy in terms of both specificity and sensitivity, resulting in an AUC of 0.99 and an F1 score of 0.98.
Conclusion The proposed methodology demonstrates that current bone health can be assessed through post-processed results from 2D-DXA analysis. Moreover, it was also shown that synthetic data can help stabilize uneven databases by balancing majority and minority classes, thereby significantly improving classification performance.
Thyroid Big Data Articles (National Health Insurance Service Database)
Background The associations between thyroid cancer and skeletal outcomes have not been thoroughly investigated. We aimed to investigate the risk of osteoporotic fractures in patients with thyroid cancer compared to that in a matched control group.
Methods This retrospective cohort study included 2,514 patients with thyroid cancer and 75,420 matched controls from the Korean National Health Insurance Service-National Sample Cohort (NHIS-NSC, 2006–2019). The rates of osteoporotic fractures were analyzed, and associations with the levothyroxine dose were evaluated.
Results Patients with thyroid cancer had a significantly lower risk of fracture than did the control group (hazard ratio [HR], 0.81; 95% confidence interval [CI], 0.69 to 0.94; P=0.006). Patients diagnosed with thyroid cancer after the age of 50 years (older cancer group) had a significantly lower risk of fracture than did those in the control group (HR, 0.72; 95% CI, 0.6 to 0.85; P<0.001), especially those diagnosed with spinal fractures (HR, 0.66; 95% CI, 0.51 to 0.85; P=0.001). Patients in the older cancer group started osteoporosis treatment earlier than did those in the control group (65.5±7.5 years vs. 67.3±7.6 years, P<0.001). Additionally, a lower dose of levothyroxine was associated with a reduced risk of fractures.
Conclusion In the clinical setting, the risk of fracture in women diagnosed with thyroid cancer after the age of 50 years was lower than that in the control group, which was caused by more proactive osteoporosis treatment in postmenopausal women with thyroid cancer.
Background Inhibitory effects of denosumab on bone remodeling are reversible and disappear once treatment is discontinued. Herein, we examined whether and to what extent delayed denosumab administration is also associated with fracture risk using nation-wide data.
Methods The study cohort included women aged 45 to 89 years who were started on denosumab for osteoporosis between October 2017 and December 2019 using data from the Korean Health Insurance Review and Assessment service. Participants were stratified according to the time of their subsequent denosumab administration from the last denosumab administration, including those with within 30 days early dosing (ED30), within the planned time of 180–210 days (referent), within 30–90 days of delayed dosing (DD90), within 90–180 days of delayed dosing (DD180), and longer than 181 days of delayed dosing (DD181+). The primary outcome was the incidence of all clinical fractures.
Results A total of 149,199 participants included and 2,323 all clinical fractures (including 1,223 vertebral fractures) occurred. The incidence of all fractures was significantly higher in the DD90 compared to reference group (hazard ratio [HR], 1.2; 95% confidence interval [CI], 1.1 to 1.4). The risk of all fracture was even higher in the longer delayed DD180 group (HR, 1.9; 95% CI, 1.6 to 2.3) and DD181+ group (HR, 1.8; 95% CI, 1.5 to 2.2). Increased risks of fractures with delayed dosing were consistently observed for vertebral fractures.
Conclusion Delayed denosumab dosing, even by 1 to 3 months, was significantly associated with increased fracture risk. Maintaining the correct dosing schedule should be emphasized when starting denosumab.
Citations
Citations to this article as recorded by
Medication related osteonecrosis (MRONJ) in the management of CTIBL in breast and prostate cancer patients. Joint report by SIPMO AND SIOMMMS Francesco Bertoldo, Cristina Eller-Vainicher, Vittorio Fusco, Rodolfo Mauceri, Jessica Pepe, Alberto Bedogni, Andrea Palermo, Umberto Romeo, Giuseppe Guglielmi, Giuseppina Campisi Journal of Bone Oncology.2025; 50: 100656. CrossRef
Kyoung Jin Kim, Jeonghoon Ha, Sang Wan Kim, Jung-Eun Kim, Sihoon Lee, Han Seok Choi, Namki Hong, Sung Hye Kong, Seong Hee Ahn, So Young Park, Ki-Hyun Baek, on Behalf of Metabolic Bone Disease Study Group of Korean Endocrine Society
Endocrinol Metab. 2024;39(2):267-282. Published online April 25, 2024
This review article investigates solid organ transplantation-induced osteoporosis, a critical yet often overlooked issue, emphasizing its significance in post-transplant care. The initial sections provide a comprehensive understanding of the prevalence and multifactorial pathogenesis of transplantation osteoporosis, including factors such as deteriorating post-transplantation health, hormonal changes, and the impact of immunosuppressive medications. Furthermore, the review is dedicated to organ-specific considerations in transplantation osteoporosis, with separate analyses for kidney, liver, heart, and lung transplantations. Each section elucidates the unique challenges and management strategies pertinent to transplantation osteoporosis in relation to each organ type, highlighting the necessity of an organ-specific approach to fully understand the diverse manifestations and implications of transplantation osteoporosis. This review underscores the importance of this topic in transplant medicine, aiming to enhance awareness and knowledge among clinicians and researchers. By comprehensively examining transplantation osteoporosis, this study contributes to the development of improved management and care strategies, ultimately leading to improved patient outcomes in this vulnerable group. This detailed review serves as an essential resource for those involved in the complex multidisciplinary care of transplant recipients.
Citations
Citations to this article as recorded by
Romosozumab as Treatment for Severe Osteoporosis in Heart and Lung Transplant Recipients Lisa M. Raven, Jacqueline R. Center, Christopher A. Muir Endocrines.2025; 6(1): 2. CrossRef
Side Effects of Immunosuppressant Drugs After Liver Transplant Filippo Gabrielli, Elisa Bernasconi, Arianna Toscano, Alessandra Avossa, Alessia Cavicchioli, Pietro Andreone, Stefano Gitto Pharmaceuticals.2025; 18(3): 342. CrossRef
Exploiting regulatory T cells (Tregs): Cutting-edge therapy for autoimmune diseases Marwa Hassan, Mohamed Elzallat, Dina Mostafa Mohammed, Mahmoud Balata, Walaa H. El-Maadawy International Immunopharmacology.2025; 155: 114624. CrossRef
Results of the implementation of a multidisciplinary care protocol for preventing fragility fractures following liver transplantation A. Monegal, J. L. Carrasco, P. Peris, B. Frade-Sosa, A. Azuaga, H. Florez, A. Dura, N. Guañabens, J. Colmenero Osteoporosis International.2025; 36(7): 1213. CrossRef
Treatment of osteoporosis in the solid organ transplant recipient: an organ-based approach Soumya Kurnool, Nandi Shah, Preethika Ekanayake Therapeutic Advances in Endocrinology and Metabolism.2025;[Epub] CrossRef
Global and regional prevalence of osteoporosis in kidney transplant recipients: a systematic review and meta-analysis Mobin Ghazaiean, Tahoora Mousavi, Mahmood Moosazadeh Clinical and Experimental Medicine.2025;[Epub] CrossRef
Since our discovery in 2006 that acromegaly is associated with an increased risk of vertebral fractures, many authors have confirmed this finding in both cross-sectional and prospective studies. Due to the high epidemiological and clinical impact of this newly discovered comorbidity of acromegaly, this topic has progressively become more important and prominent over the years, and the pertinent literature has been enriched by new findings on the pathophysiology and treatment. The aim of this narrative review was to discuss these novel findings, integrating them with the seminal observations, in order to give the reader an updated view of how the field of acromegaly and bone is developing, from strong clinical observations to a mechanistic understanding and possible prevention and treatment.
Citations
Citations to this article as recorded by
Vitamin D and hip protectors in osteosarcopenia: a combined hip fracture preventing approach Alessandro Giustina, Andrea Giustina Reviews in Endocrine and Metabolic Disorders.2025; 26(1): 1. CrossRef
Long-Term Prognosis and Systemic Impact of Acromegaly: Analyses Utilizing Korean National Health Insurance Data Sangmo Hong, Kyungdo Han, Cheol-Young Park Endocrinology and Metabolism.2025; 40(1): 1. CrossRef
Frailty and pituitary surgery: a systematic review Mendel Castle-Kirszbaum, Ann McCormack, Christopher Ovenden, Jeremy Kam, James King, Yi Yuen Wang, Tony Goldschlager Pituitary.2025;[Epub] CrossRef
Artificial intelligence in acromegaly: Why, when and how Alessandro Giustina, Andrea Giustina Pituitary.2025;[Epub] CrossRef
Muscle dysfunction is associated with poor quality of life in long-term controlled patients with acromegaly Luciana Martel-Duguech, Helena Bascuñana, Jordi Cuartero, Susan M. Webb, Elena Valassi Pituitary.2025;[Epub] CrossRef
Evaluation of bone density and microstructure by DXA, TBS and HR-pQCT: an assessment of cortical porosity and its association with vertebral fractures in patients with acromegaly PG Ornellas, EMF Gama, LMC Mendonça, C Villela-Nogueira, FP Paranhos-Neto, L Kasuki, MR Gadelha, MLF Farias, M Madeira Journal of Endocrinological Investigation.2025;[Epub] CrossRef
New insights into the vitamin D/PTH axis in endocrine-driven metabolic bone diseases Luigi di Filippo, John P. Bilezikian, Ernesto Canalis, Umberto Terenzi, Andrea Giustina Endocrine.2024; 85(3): 1007. CrossRef
Bone health and skeletal fragility in second- and third-line medical therapies for acromegaly: preliminary results from a pilot single center experience Sabrina Chiloiro, Antonella Giampietro, Amato Infante, Pier Paolo Mattogno, Liverana Lauretti, Alessandro Olivi, Laura De Marinis, Alfredo Pontecorvi, Francesco Doglietto, Antonio Bianchi Pituitary.2024; 27(3): 303. CrossRef
Standards of care for medical management of acromegaly in pituitary tumor centers of excellence (PTCOE) Andrea Giustina, M. M. Uygur, S. Frara, A. Barkan, N. R. Biermasz, P. Chanson, P. Freda, M. Gadelha, L. Haberbosch, U. B. Kaiser, S. Lamberts, E. Laws, L. B. Nachtigall, V. Popovic, M. Reincke, A. J. van der Lely, J. A. H. Wass, S. Melmed, F. F. Casanueva Pituitary.2024; 27(4): 381. CrossRef
Vertebral fractures in patients with non-functioning pituitary adenomas - a new frontier? Nicholas A. Tritos Pituitary.2024; 27(4): 311. CrossRef
Suspected silent pituitary somatotroph neuroendocrine tumor associated with acromegaly-like bone disorders: a case report Tongxin Xiao, Xinxin Mao, Ou Wang, Yong Yao, Kan Deng, Huijuan Zhu, Lian Duan BMC Endocrine Disorders.2024;[Epub] CrossRef
Skeletal fragility in pituitary disease: how can we predict fracture risk? Fabio Bioletto, Alessandro Maria Berton, Marco Barale, Luigi Simone Aversa, Lorenzo Sauro, Michela Presti, Francesca Mocellini, Noemi Sagone, Ezio Ghigo, Massimo Procopio, Silvia Grottoli Pituitary.2024; 27(6): 789. CrossRef
Vitamin D in pituitary driven osteopathies Sabrina Chiloiro, Flavia Costanza, Elena Riccardi, Antonella Giampietro, Laura De Marinis, Antonio Bianchi, Alfredo Pontecorvi, Andrea Giustina Pituitary.2024; 27(6): 847. CrossRef
GH receptor polymorphisms guide second-line therapies to prevent acromegaly skeletal fragility: preliminary results of a pilot study Sabrina Chiloiro, Flavia Costanza, Antonella Giampietro, Amato Infante, Pier Paolo Mattogno, Flavia Angelini, Consolato Gullì, Liverana Lauretti, Mario Rigante, Alessandro Olivi, Laura De Marinis, Francesco Doglietto, Antonio Bianchi, Alfredo Pontecorvi Frontiers in Endocrinology.2024;[Epub] CrossRef
Growth hormone and bone: a basic perspective Simona Bolamperti, Isabella Villa, Luigi di Filippo Pituitary.2024; 27(6): 745. CrossRef
Approach to the patient with controlled acromegaly and acromegalic arthropathy: clinical diagnosis and management Iris C. M. Pelsma, Herman M. Kroon, Cornelie D. Andela, Enrike M. J. van der Linden, Margreet Kloppenburg, Nienke R. Biermasz, Kim M. J. A. Claessen Pituitary.2024; 27(6): 824. CrossRef
Modern approach to bone comorbidity in prolactinoma Meliha Melin Uygur, Sara Menotti, Simona Santoro, Andrea Giustina Pituitary.2024; 27(6): 802. CrossRef
Novel approach to bone comorbidity in resistant acromegaly Stefano Frara, Matteo Acanfora, Vincenzo Franzese, Maria Luisa Brandi, Marco Losa, Andrea Giustina Pituitary.2024; 27(6): 813. CrossRef
Original Articles
Mineral, Bone & Muscle Big Data Articles (National Health Insurance Service Database)
Background Limited longitudinal evidence exists regarding the potential association between smoking status and hip fracture among individuals with type 2 diabetes. We investigated this association using large-scale, nationwide cohort data for the Korean population.
Methods This nationwide cohort study included 1,414,635 adults aged 40 and older who received Korean National Health Insurance Service health examinations between 2009 and 2012. Subjects with type 2 diabetes were categorized according to their smoking status, amount smoked (pack-years), number of cigarettes smoked per day, and duration of smoking. The results are presented as hazard ratios (HRs) and 95% confidence intervals (CIs) for the associations between smoking status parameters and risk of hip fracture in multivariable Cox proportional hazard regression analysis.
Results Compared with never-smokers, an increased adjusted HR (aHR) for hip fracture was observed in current smokers (1.681; 95% CI, 1.578 to 1.791), and a comparable aHR for hip fracture was found in former smokers (1.065; 95% CI, 0.999 to 1.136). For former smokers who had smoked 20 pack-years or more, the risk was slightly higher than that for never-smokers (aHR, 1.107; 95% CI, 1.024 to 1.196). The hip fracture risk of female former smokers was similar to that of female current smokers, but the hip fracture risk in male former smokers was similar to that of male never-smokers.
Conclusion Smoking is associated with an increased risk of hip fracture in patients with type 2 diabetes. Current smokers with diabetes should be encouraged to quit smoking because the risk of hip fracture is greatly reduced in former smokers.
Citations
Citations to this article as recorded by
Hip fractures and type 2 diabetes in the elderly: Risk factors analysis of the Nedices cohort Federico Hawkins Carranza, Cristina Martín-Arriscado Arroba, Arturo Corbatón-Anchuelo, Guillermo Martínez Díaz-Guerra, Félix Bermejo Pareja Diabetes & Metabolism.2025; 51(4): 101656. CrossRef
Influence of quitting smoking on diabetes-related complications: A scoping review with a systematic search strategy Magdalena Walicka, Arkadiusz Krysiński, Giusy Rita Maria La Rosa, Ang Sun, Davide Campagna, Agostino Di Ciaula, Tabinda Dugal, Andre Kengne, Phuong Le Dinh, Anoop Misra, Riccardo Polosa, Syed Abbas Raza, Cristina Russo, Roberta Sammut, Noel Somasundaram Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2024; 18(5): 103044. CrossRef
Mineral, Bone & Muscle Big Data Articles (National Health Insurance Service Database)
Background Acromegaly leads to various skeletal complications, and fragility fractures are emerging as a new concern in patients with acromegaly. Therefore, this study investigated the risk of fractures in Korean patients with acromegaly.
Methods We used the Korean nationwide claims database from 2009 to 2019. A total of 931 patients with acromegaly who had never used an osteoporosis drug before and were treated with surgery alone were selected as study participants, and a 1:29 ratio of 26,999 age- and sex-matched osteoporosis drug-naïve controls without acromegaly were randomly selected from the database.
Results The mean age was 46.2 years, and 50.0% were male. During a median follow-up of 54.1 months, there was no difference in the risks of all, vertebral, and non-vertebral fractures between the acromegaly and control groups. However, hip fracture risk was significantly higher (hazard ratio [HR], 2.73; 95% confidence interval [CI], 1.32 to 5.65), and non-hip and non-vertebral fractures risk was significantly lower (HR, 0.40; 95% CI, 0.17 to 0.98) in patients with acromegaly than in controls; these results remained robust even after adjustment for socioeconomic status and baseline comorbidities. Age, type 2 diabetes mellitus, cardio-cerebrovascular disease, fracture history, recent use of acid-suppressant medication, psychotropic medication, and opioids were risk factors for all fractures in patients with acromegaly (all P<0.05).
Conclusion Compared with controls, patients surgically treated for acromegaly had a higher risk of hip fractures. The risk factors for fracture in patients with acromegaly were consistent with widely accepted risk factors in the general population.
Citations
Citations to this article as recorded by
Long-Term Prognosis and Systemic Impact of Acromegaly: Analyses Utilizing Korean National Health Insurance Data Sangmo Hong, Kyungdo Han, Cheol-Young Park Endocrinology and Metabolism.2025; 40(1): 1. CrossRef
Musculoskeletal disease in acromegaly—a population-based registry study Christian Rosendal, Mai Christiansen Arlien-Søborg, Eigil Husted Nielsen, Claus Larsen Feltoft, Åse Krogh Rasmussen, Marianne Skovsager Andersen, Jens Otto Lunde Jørgensen, Jakob Dal European Journal of Endocrinology.2025; 192(3): 308. CrossRef
Novel approach to bone comorbidity in resistant acromegaly Stefano Frara, Matteo Acanfora, Vincenzo Franzese, Maria Luisa Brandi, Marco Losa, Andrea Giustina Pituitary.2024; 27(6): 813. CrossRef
Background Height loss is a simple clinical measure associated with increased fracture risk. However, limited data exists on the association between height loss and fracture risk in postmenopausal Korean women. It is unknown whether this association varies with age.
Methods Data on height loss over a 6-year period were collected from a community-based longitudinal follow-up cohort (Ansung cohort of the Korean Genome and Epidemiology Study). Incident fractures were defined based on self-reported fractures after excluding those due to severe trauma or toes/fingers. The association between incident fractures and height loss was investigated using a Cox proportional hazards model.
Results During a median follow-up of 10 years after the second visit, 259/1,806 participants (median age, 64 years) experienced incident fractures. Overall, a 1 standard deviation (SD) decrease in height (1.6 cm/median 5.8 years) was associated with 9% increased risk of fracture (hazard ratio [HR], 1.09; P=0.037), which lost statistical significance after adjustment for covariates. When stratified into age groups (50–59, 60–69, 70 years or older), a 1 SD decrease in height remained a robust predictor of fracture in the 50 to 59 years age group after adjusting for covariates (adjusted hazard ratio [aHR], 1.52; P=0.003), whereas height loss was not an independent predictor of fracture in the 60 to 69 (aHR, 1.06; P=0.333) or the 70 years or older age groups (aHR, 1.05; P=0.700; P for interaction <0.05, for all).
Conclusion Height loss during the previous 6 years was associated with an increased 10-year fracture risk in postmenopausal women in their 50s.
Citations
Citations to this article as recorded by
Evolving trends of hand injuries in Korea (2010-2023): a comprehensive analysis and implications for hand surgeons Daihun Kang Archives of Hand and Microsurgery.2025; 30(1): 15. CrossRef
A Bone Health Optimization Framework for Malaysia: a position paper by the Malaysian Bone Health Optimization Network (MyBONe) Joon-Kiong Lee, Juzaily Fekry Leong, Fu-Yuen Thong, Mohd Ariff Sharifudin, Azlina Amir Abbas, Nur Azree Ferdaus Kamudin, Sanjiv Rampal, Nor Faissal Yasin, Kwong-Weng Loh, Chee-Ken Chan, Paul James Mitchell Archives of Osteoporosis.2024;[Epub] CrossRef
Calcium and vitamin D play an important role in mineral homeostasis and the maintenance of skeletal health. Calcium and vitamin D supplements have been widely used for fracture prevention in elderly populations. Many trials have studied the effectiveness and cardiovascular safety of calcium and vitamin D supplementation, with disparate results. In this review, we summarize the most important trials and systematic reviews. There is significant heterogeneity in clinical trial design, differences in the nature of trial outcomes (self-reported vs. verified), prior calcium intake, and trial size. Inconsistent results have been reported concerning the effects of calcium and vitamin D supplementation on cardiovascular outcomes. Most current guidelines recommend calcium intake of up to 1,200 mg daily, preferably from the diet, without concern for cardiovascular risk. Recommendations regarding vitamin D supplementation vary widely. There is compelling evidence from well-conducted randomized trials that modest vitamin D supplementation is safe but does not confer cardiovascular benefit or cardiovascular harm.
Citations
Citations to this article as recorded by
Calcium Supplementation: To Do or Not to Do Emanuella Graciela Borges Fonseca, Carlos Marques dos Santos, Felipe Freire da Silva, Ana Tereza Amoedo Martinez, Jozélio Freire de Carvalho Journal of Bone Metabolism.2025; 32(1): 67. CrossRef
Evaluating adherence, tolerability and safety of oral calcium citrate in elderly osteopenic subjects: a real-life non-interventional, prospective, multicenter study Mariangela Rondanelli, Salvatore Minisola, Marco Barale, Daniele Barbaro, Francesca Mansueto, Santina Battaglia, Gloria Bonaccorsi, Santina Caliri, Alessandro Cavioni, Luciano Colangelo, Sabrina Corbetta, Federica Coretti, Giorgia Dito, Valentina Gavioli, Aging Clinical and Experimental Research.2024;[Epub] CrossRef
Association between Daily Dietary Calcium Intake and the Risk of Cardiovascular Disease (CVD) in Postmenopausal Korean Women Jae Kyung Lee, Thi Minh Chau Tran, Euna Choi, Jinkyung Baek, Hae-Rim Kim, Heeyon Kim, Bo Hyon Yun, Seok Kyo Seo Nutrients.2024; 16(7): 1043. CrossRef
Calcium deficiency and its implications for cardiovascular disease and cancer: Strategies for resolution via agronomic fortification Liping Cheng, Jiapan Lian, Yongfeng Ding, Xin Wang, Mehr Ahmed Mujtaba Munir, Shafqat Ullah, Erjiang Wang, Zhenli He, Xiaoe Yang Food Science & Nutrition.2024; 12(11): 8594. CrossRef
Effect of Denosumab on Bone Density in Postmenopausal Osteoporosis: A Comparison with and without Calcium Supplementation in Patients on Standard Diets in Korea Chaiho Jeong, Jinyoung Kim, Jeongmin Lee, Yejee Lim, Dong-Jun Lim, Ki-Hyun Baek, Jeonghoon Ha Journal of Clinical Medicine.2023; 12(21): 6904. CrossRef
Background Since image-based fracture prediction models using deep learning are lacking, we aimed to develop an X-ray-based fracture prediction model using deep learning with longitudinal data.
Methods This study included 1,595 participants aged 50 to 75 years with at least two lumbosacral radiographs without baseline fractures from 2010 to 2015 at Seoul National University Hospital. Positive and negative cases were defined according to whether vertebral fractures developed during follow-up. The cases were divided into training (n=1,416) and test (n=179) sets. A convolutional neural network (CNN)-based prediction algorithm, DeepSurv, was trained with images and baseline clinical information (age, sex, body mass index, glucocorticoid use, and secondary osteoporosis). The concordance index (C-index) was used to compare performance between DeepSurv and the Fracture Risk Assessment Tool (FRAX) and Cox proportional hazard (CoxPH) models.
Results Of the total participants, 1,188 (74.4%) were women, and the mean age was 60.5 years. During a mean follow-up period of 40.7 months, vertebral fractures occurred in 7.5% (120/1,595) of participants. In the test set, when DeepSurv learned with images and clinical features, it showed higher performance than FRAX and CoxPH in terms of C-index values (DeepSurv, 0.612; 95% confidence interval [CI], 0.571 to 0.653; FRAX, 0.547; CoxPH, 0.594; 95% CI, 0.552 to 0.555). Notably, the DeepSurv method without clinical features had a higher C-index (0.614; 95% CI, 0.572 to 0.656) than that of FRAX in women.
Conclusion DeepSurv, a CNN-based prediction algorithm using baseline image and clinical information, outperformed the FRAX and CoxPH models in predicting osteoporotic fracture from spine radiographs in a longitudinal cohort.
Citations
Citations to this article as recorded by
Deep learning for hepatocellular carcinoma recurrence before and after liver transplantation: a multicenter cohort study Shuang Cao, Sihan Yu, Liangbin Huang, Samuel Seery, Yu Xia, Yongwei Zhao, Zhongzhou Si, Xinxue Zhang, Jiqiao Zhu, Ren Lang, Jiantao Kou, Haiming Zhang, Lin Wei, Guangpeng Zhou, Liying Sun, Lei Wang, Ting Li, Qiang He, Zhijun Zhu Scientific Reports.2025;[Epub] CrossRef
Accuracy of artificial intelligence in prediction of osteoporotic fractures in comparison with dual-energy X-ray absorptiometry and the Fracture Risk Assessment Tool: A systematic review Mir Sadat-Ali, Bandar A Alzahrani, Turki S Alqahtani, Musaad A Alotaibi, Abdallah M Alhalafi, Ahmed A Alsousi, Abdullah M Alasiri World Journal of Orthopedics.2025;[Epub] CrossRef
Deep learning-based identification of vertebral fracture and osteoporosis in lateral spine radiographs and DXA vertebral fracture assessment to predict incident fracture Namki Hong, Sang Wouk Cho, Young Han Lee, Chang Oh Kim, Hyeon Chang Kim, Yumie Rhee, William D Leslie, Steven R Cummings, Kyoung Min Kim Journal of Bone and Mineral Research.2025; 40(5): 628. CrossRef
Aplicaciones de aprendizaje profundo en ortopedia: una revisión sistemática y futuras direcciones R González-Pola, A Herrera-Lozano, LF Graham-Nieto, G Zermeño-García Acta Ortopédica Mexicana.2025; 39(3): 152. CrossRef
Automated detection of vertebral fractures from X-ray images: A novel machine learning model and survey of the field Li-Wei Cheng, Hsin-Hung Chou, Yu-Xuan Cai, Kuo-Yuan Huang, Chin-Chiang Hsieh, Po-Lun Chu, I-Szu Cheng, Sun-Yuan Hsieh Neurocomputing.2024; 566: 126946. CrossRef
Application of radiomics model based on lumbar computed tomography in diagnosis of elderly osteoporosis Baisen Chen, Jiaming Cui, Chaochen Li, Pengjun Xu, Guanhua Xu, Jiawei Jiang, Pengfei Xue, Yuyu Sun, Zhiming Cui Journal of Orthopaedic Research.2024; 42(6): 1356. CrossRef
Machine Learning and Deep Learning in Spinal Injury: A Narrative Review of Algorithms in Diagnosis and Prognosis Satoshi Maki, Takeo Furuya, Masahiro Inoue, Yasuhiro Shiga, Kazuhide Inage, Yawara Eguchi, Sumihisa Orita, Seiji Ohtori Journal of Clinical Medicine.2024; 13(3): 705. CrossRef
A CT-based Deep Learning Model for Predicting Subsequent Fracture Risk in Patients with Hip Fracture Yisak Kim, Young-Gon Kim, Jung-Wee Park, Byung Woo Kim, Youmin Shin, Sung Hye Kong, Jung Hee Kim, Young-Kyun Lee, Sang Wan Kim, Chan Soo Shin Radiology.2024;[Epub] CrossRef
A Computed Tomography–Based Fracture Prediction Model With Images of Vertebral Bones and Muscles by Employing Deep Learning: Development and Validation Study Sung Hye Kong, Wonwoo Cho, Sung Bae Park, Jaegul Choo, Jung Hee Kim, Sang Wan Kim, Chan Soo Shin Journal of Medical Internet Research.2024; 26: e48535. CrossRef
A Novel QCT-Based Deep Transfer Learning Approach for Predicting Stiffness Tensor of Trabecular Bone Cubes Pengwei Xiao, Tinghe Zhang, Yufei Huang, Xiaodu Wang IRBM.2024; 45(2): 100831. CrossRef
Deep learning in the radiologic diagnosis of osteoporosis: a literature review Yu He, Jiaxi Lin, Shiqi Zhu, Jinzhou Zhu, Zhonghua Xu Journal of International Medical Research.2024;[Epub] CrossRef
Pathological Priors Inspired Network for Vertebral Osteophytes Recognition Junzhang Huang, Xiongfeng Zhu, Ziyang Chen, Guoye Lin, Meiyan Huang, Qianjin Feng IEEE Transactions on Medical Imaging.2024; 43(7): 2522. CrossRef
Fully Automatic Deep Learning Model for Spine Refracture in Patients with OVCF: A Multi‐Center Study Xuetao Zhu, Dejian Liu, Lian Liu, Jingxuan Guo, Zedi Li, Yixiang Zhao, Tianhao Wu, Kaiwen Liu, Xinyu Liu, Xin Pan, Lei Qi, Yuanqiang Zhang, Lei Cheng, Bin Chen Orthopaedic Surgery.2024; 16(8): 2052. CrossRef
Artificial Intelligence in Spinal Imaging and Patient Care: A Review of Recent Advances Sungwon Lee, Joon-Yong Jung, Akaworn Mahatthanatrakul, Jin-Sung Kim Neurospine.2024; 21(2): 474. CrossRef
Machine learning value in the diagnosis of vertebral fractures: A systematic review and meta-analysis Yue Li, Zhuang Liang, Yingchun Li, Yang Cao, Hui Zhang, Bo Dong European Journal of Radiology.2024; 181: 111714. CrossRef
Development and reporting of artificial intelligence in osteoporosis management Guillaume Gatineau, Enisa Shevroja, Colin Vendrami, Elena Gonzalez-Rodriguez, William D Leslie, Olivier Lamy, Didier Hans Journal of Bone and Mineral Research.2024; 39(11): 1553. CrossRef
Artificial intelligence in risk prediction and diagnosis of vertebral fractures Srikar R. Namireddy, Saran S. Gill, Amaan Peerbhai, Abith G. Kamath, Daniele S. C. Ramsay, Hariharan Subbiah Ponniah, Ahmed Salih, Dragan Jankovic, Darius Kalasauskas, Jonathan Neuhoff, Andreas Kramer, Salvatore Russo, Santhosh G. Thavarajasingam Scientific Reports.2024;[Epub] CrossRef
Development and Validation of a Convolutional Neural Network Model to Predict a Pathologic Fracture in the Proximal Femur Using Abdomen and Pelvis CT Images of Patients With Advanced Cancer Min Wook Joo, Taehoon Ko, Min Seob Kim, Yong-Suk Lee, Seung Han Shin, Yang-Guk Chung, Hong Kwon Lee Clinical Orthopaedics & Related Research.2023; 481(11): 2247. CrossRef
Automated Opportunistic Trabecular Volumetric Bone Mineral Density Extraction Outperforms Manual Measurements for the Prediction of Vertebral Fractures in Routine CT Sophia S. Goller, Jon F. Rischewski, Thomas Liebig, Jens Ricke, Sebastian Siller, Vanessa F. Schmidt, Robert Stahl, Julian Kulozik, Thomas Baum, Jan S. Kirschke, Sarah C. Foreman, Alexandra S. Gersing Diagnostics.2023; 13(12): 2119. CrossRef
Machine learning‐based prediction of osteoporosis in postmenopausal women with clinical examined features: A quantitative clinical study Kainat A. Ullah, Faisal Rehman, Muhammad Anwar, Muhammad Faheem, Naveed Riaz Health Science Reports.2023;[Epub] CrossRef
Skeletal Fracture Detection with Deep Learning: A Comprehensive Review Zhihao Su, Afzan Adam, Mohammad Faidzul Nasrudin, Masri Ayob, Gauthamen Punganan Diagnostics.2023; 13(20): 3245. CrossRef
Deep learning system for automated detection of posterior ligamentous complex injury in patients with thoracolumbar fracture on MRI Sang Won Jo, Eun Kyung Khil, Kyoung Yeon Lee, Il Choi, Yu Sung Yoon, Jang Gyu Cha, Jae Hyeok Lee, Hyunggi Kim, Sun Yeop Lee Scientific Reports.2023;[Epub] CrossRef
Vertebra Segmentation Based Vertebral Compression Fracture Determination from Reconstructed Spine X-Ray Images Srinivasa Rao Gadu, Chandra Sekhar Potala International Journal of Electrical and Electronics Research.2023; 11(4): 1225. CrossRef
Computer Vision in Osteoporotic Vertebral Fracture Risk Prediction: A Systematic Review Anthony K. Allam, Adrish Anand, Alex R. Flores, Alexander E. Ropper Neurospine.2023; 20(4): 1112. CrossRef
A Meaningful Journey to Predict Fractures with Deep Learning Jeonghoon Ha Endocrinology and Metabolism.2022; 37(4): 617. CrossRef
New Horizons: Artificial Intelligence Tools for Managing Osteoporosis Hans Peter Dimai The Journal of Clinical Endocrinology & Metabolism.2022;[Epub] CrossRef
Background Although recent studies comparing various dosages and intervals of vitamin D supplementation have been published, it is yet to be elucidated whether there is an appropriate dose or interval to provide benefit regarding fracture risk. We aimed to assess the published evidence available to date regarding the putative beneficial effects of vitamin D supplements on fractures and falls according to various dosages and intervals.
Methods We performed a meta-analysis of randomized controlled studies reporting associations between vitamin D supplementation and the risks of fractures and falls in PubMed, EMBASE, and Cochrane library. Studies with supplements of ergocalciferol or calcitriol, those with a number of event ≤10, or those with a follow-up duration of less than 6 months were also excluded.
Results Thirty-two studies were included in the final analysis. Vitamin D supplementation with daily dose of 800 to 1,000 mg was associated with lower risks of osteoporotic fracture and fall (pooled relative risk [RR], 0.87; 95% confidence interval [CI], 0.78 to 0.97 and RR, 0.91; 95% CI, 0.85 to 0.98), while studies with <800 or >1,000 mg/day did not. Also, among intervals, daily administration of vitamin D was associated with the reduced risk of falls, while intermittent dose was not. Also, patients with vitamin D deficiency showed a significant risk reduction of falls after vitamin D supplementation.
Conclusion Daily vitamin D dose of 800 to 1,000 IU was the most probable way to reduce the fracture and fall risk. Further studies designed with various regimens and targeted vitamin D levels are required to elucidate the benefits of vitamin D supplements.
Citations
Citations to this article as recorded by
Daily or intermittent vitamin D supplementation in patients with or at risk of osteoporosis: Position statement from the GRIO Marie-Eva Pickering, Jean-Claude Souberbielle, Anne Boutten, Véronique Breuil, Karine Briot, Roland Chapurlat, Patrice Fardellone, Rose-Marie Javier, Eugénie Koumakis, Bernard Cortet Joint Bone Spine.2025; 92(3): 105858. CrossRef
Hip Fracture Patterns Among Hispanic Seniors: Risk Factors and Implications Nikhil Mathur, John Knight, Monica Betancourt-Garcia, Gregery Pequeno, Michael Serra-Torres Cureus.2025;[Epub] CrossRef
Clinical efficacy of vitamin D in the prevention of osteoporosis and fractures in elderly patients K.K. Kurbanova, A.A. Kovaleva, A.V. Akopyan, D.M. Rak, A.S. Shuliakova Russian Journal of Preventive Medicine.2025; 28(5): 103. CrossRef
Bone Health in Women Brenna Gibbons, Julia Lubsen, Andrea Ildiko Martonffy Primary Care: Clinics in Office Practice.2025; 52(2): 353. CrossRef
ACG Clinical Guideline: Malnutrition and Nutritional Recommendations in Liver Disease Ashwani K. Singal, Robert J. Wong, Srinivasan Dasarathy, Manal F. Abdelmalek, Brent A. Neuschwander-Tetri, Berkeley N. Limketkai, Jessica Petrey, Craig J. McClain American Journal of Gastroenterology.2025; 120(5): 950. CrossRef
Ukrainian Consensus on Diagnosis and Management of Vitamin D Deficiency in Adults Nataliia Grygorieva, Mykola Tronko, Volodymir Kovalenko, Serhiy Komisarenko, Tetiana Tatarchuk, Ninel Dedukh, Mykola Veliky, Serhiy Strafun, Yulia Komisarenko, Andrii Kalashnikov, Valeria Orlenko, Volodymyr Pankiv, Oleg Shvets, Inna Gogunska, Svitlana Reg Nutrients.2024; 16(2): 270. CrossRef
Vitamin D Supplementation: A Review of the Evidence Arguing for a Daily Dose of 2000 International Units (50 µg) of Vitamin D for Adults in the General Population Pawel Pludowski, William B. Grant, Spyridon N. Karras, Armin Zittermann, Stefan Pilz Nutrients.2024; 16(3): 391. CrossRef
Clinical Characteristics and Outcomes of Limb Fractures in Saudi Children Lamia Aldhbiban, Fai Alhoshan, Raghad Alomari, Shahad A Almatrafi, Yousef Alanazi, Samir Alsayegh, Haifa Y Alfaraidi, Ayman H Jawadi, Fahad N Aljuraibah Cureus.2024;[Epub] CrossRef
The interplay of rheumatoid arthritis and osteoporosis: exploring the pathogenesis and pharmacological approaches Nikhil Gupta, Navjot Kanwar, Anchal Arora, Kavin Khatri, Abhinav Kanwal Clinical Rheumatology.2024; 43(5): 1421. CrossRef
The multi-faceted nature of age-associated osteoporosis A.E. Smit, O.C. Meijer, E.M. Winter Bone Reports.2024; 20: 101750. CrossRef
Vitamin D Deficiency in Patients With Low-Energy Hip Fractures in Accordance With the Mediterranean Paradox Christos Konstantinidis, Ourania Psoma, Christos Kotsias, Vasileios Panagiotopoulos , Sotiris Plakoutsis, Dimitrios Tsiampas, Dimitrios Vardakas, Dimitrios Giotis Cureus.2024;[Epub] CrossRef
Effect of vitamin D, calcium, or combined supplementation on fall prevention: a systematic review and updated network meta-analysis Long Tan, Ruiqian He, Xiaoxue Zheng BMC Geriatrics.2024;[Epub] CrossRef
Analysis of medication treatment for women with osteoporosis: A real-world retrospective study from Chinese tertiary grade A hospital Xiaolei Liu, Zhenling Zhu, Xianli Wang Bone Reports.2024; 21: 101778. CrossRef
New insights into dairy management and the prevention and treatment of osteoporosis: The shift from single nutrient to dairy matrix effects—A review Kaili Wang, Xu Zhao, Sijia Yang, Xiaoxi Qi, Aili Li, Wei Yu Comprehensive Reviews in Food Science and Food Safety.2024;[Epub] CrossRef
The Importance of Vitamin K and the Combination of Vitamins K and D for Calcium Metabolism and Bone Health: A Review Jan O. Aaseth, Trine Elisabeth Finnes, Merete Askim, Jan Alexander Nutrients.2024; 16(15): 2420. CrossRef
The role of anti-osteoporosis drugs in fall risk Gianpaolo Voltan, Nicola Veronese International Journal of Bone Fragility.2024; 4(1): 2. CrossRef
Pharmacologic or genetic interference with atrogene signaling protects against glucocorticoid-induced musculoskeletal and cardiac disease Amy Y. Sato, Meloney Cregor, Kevin McAndrews, Charles A. Schurman, Eric Schaible, Jennifer Shutter, Punit Vyas, Bhawana Adhikari, Monte S. Willis, Marjan Boerma, Tamara Alliston, Teresita Bellido JCI Insight.2024;[Epub] CrossRef
Vitamin D levels and bone mineral density: a prospective cross-sectional analysis of young orthopedic trauma patients at a rural United States trauma center Michael Booth, Kenneth Sabacinski, Colleen Watkins, Erin Butcho, Emilie Kramer, Lukas Meadows, Michelle A. Bramer Journal of Trauma and Injury.2024; 37(4): 276. CrossRef
Association of vitamin and/or nutritional supplements with fall among patients with diabetes: A prospective study based on ACCORD and UK Biobank Lingfang He, Tianqi Ma, Guogang Zhang, Xunjie Cheng, Yongping Bai Frontiers in Nutrition.2023;[Epub] CrossRef
Vitamin D and Calcium in Osteoporosis, and the Role of Bone Turnover Markers: A Narrative Review of Recent Data from RCTs Gavriela Voulgaridou, Sousana K. Papadopoulou, Paraskevi Detopoulou, Despoina Tsoumana, Constantinos Giaginis, Foivi S. Kondyli, Evgenia Lymperaki, Agathi Pritsa Diseases.2023; 11(1): 29. CrossRef
Recent advances in the identification of related factors and preventive strategies of hip fracture Yaohui Yu, Yudan Wang, Xiaoli Hou, Faming Tian Frontiers in Public Health.2023;[Epub] CrossRef
Can Nutrition Contribute to a Reduction in Sarcopenia, Frailty, and Comorbidities in a Super-Aged Society? Sadao Yoshida, Ryo Shiraishi, Yuki Nakayama, Yasuko Taira Nutrients.2023; 15(13): 2991. CrossRef
Safety Profile of Vitamin D in Italy: An Analysis of Spontaneous Reports of Adverse Reactions Related to Drugs and Food Supplements Valentina Maggini, Giada Crescioli, Ilaria Ippoliti, Eugenia Gallo, Francesca Menniti-Ippolito, Adelaide Chiaravalloti, Vittorio Mascherini, Roberto Da Cas, Simona Potenza, Giulia Gritti, Maria Galiulo, Laura Sottosanti, Alfredo Vannacci, Niccolò Lombardi Journal of Clinical Medicine.2023; 12(14): 4726. CrossRef
Cholecalciferol Use Is Associated With a Decreased Risk of Incident Morphometric Vertebral Fractures in Acromegaly Sabrina Chiloiro, Stefano Frara, Irene Gagliardi, Antonio Bianchi, Antonella Giampietro, Margherita Medici, Agnese Allora, Luigi di Filippo, Maria Rosaria Ambrosio, Alfredo Pontecorvi, Maria Chiara Zatelli, Laura De Marinis, Andrea Giustina The Journal of Clinical Endocrinology & Metabolism.2023; 109(1): e58. CrossRef
Proceedings of the 2023 Santa Fe Bone Symposium: Progress and Controversies in the Management of Patients with Skeletal Diseases E. Michael Lewiecki, Teresita Bellido, John P. Bilezikian, Jacques P. Brown, Azeez Farooki, Christopher S. Kovacs, Brendan Lee, William D. Leslie, Michael R. McClung, Mark L. Prasarn, Deborah E. Sellmeyer Journal of Clinical Densitometry.2023; 26(4): 101432. CrossRef
Serum 25-Hydroxyvitamin D Level Is Negatively Associated with Fatigue in Elderly Maintenance Hemodialysis Patients Menglin Pang, Lin Chen, Na Jiang, Mengmeng Jiang, Baofeng Wang, Lili Wang, Xiao-yan Jia Kidney and Blood Pressure Research.2023; 48(1): 231. CrossRef
Vitamin D for Clinical Diseases in Women: An Indispensable Factor in Medicine and Dentistry Dario Calafiore, Leonzio Fortunato, Mario Migliario Journal of Clinical Medicine.2022; 11(11): 3104. CrossRef
Malnutrition in Older Adults—Effect on Falls and Fractures: A Narrative Review Malgorzata Kupisz-Urbanska, Ewa Marcinowska-Suchowierska Nutrients.2022; 14(15): 3123. CrossRef
Role of vitamin D supplementation in the management of musculoskeletal diseases: update from an European Society of Clinical and Economical Aspects of Osteoporosis, Osteoarthritis and Musculoskeletal Diseases (ESCEO) working group Thierry Chevalley, Maria Luisa Brandi, Kevin D. Cashman, Etienne Cavalier, Nicholas C. Harvey, Stefania Maggi, Cyrus Cooper, Nasser Al-Daghri, Oliver Bock, Olivier Bruyère, Mario Miguel Rosa, Bernard Cortet, Alfonso J. Cruz-Jentoft, Antonio Cherubini, Bes Aging Clinical and Experimental Research.2022; 34(11): 2603. CrossRef
The Relationship of Osteoporosis with Menopause: Review of Article Hadeel Anwar Alsarraje, *Liqaa Khalel Alhyali International Journal of Research in Medical Sciences and Technology.2022; 14(01): 127. CrossRef
Denosumab, which has been approved for the treatment of osteoporosis since 2010, is a fully humanised monoclonal antibody against a cytokine, receptor activator of nuclear factor kappa B ligand (RANKL), involved in bone resorption. Continued use of denosumab results in a potent and sustained decrease in bone turnover, an increase in bone mineral density (BMD), and a reduction in vertebral and hip fractures. The anti-resorptive effects of denosumab are reversible upon cessation, and this reversal is accompanied by a transient marked increase in bone turnover that is associated with bone loss, and of concern, an increased risk of multiple vertebral fractures. In this review, we outline the effects of denosumab withdrawal on bone turnover markers, BMD, histomorphometry, and fracture risk. We provide an update on recent clinical trials that sought to answer how clinicians can transition away from denosumab safely with follow-on therapy to mitigate bone loss and summarise the recommendations of various international guidelines.
Citations
Citations to this article as recorded by
Multiple vertebral fractures after antiosteoporotic medications discontinuation: A comparative study to evaluate the potential rebound effect of denosumab Mar Martín-Pérez, Beatriz Sánchez-Delgado, Patricia García-Poza, Sergio López-Álvarez, Elisa Martín-Merino Bone.2025; 190: 117325. CrossRef
Naïve Bayes is an interpretable and predictive machine learning algorithm in predicting osteoporotic hip fracture in-hospital mortality compared to other machine learning algorithms Jo-Wai Douglas Wang, Mathew V. Kiang PLOS Digital Health.2025; 4(1): e0000529. CrossRef
Osteoporosis in Older Men: Informing Patient Management and Improving Health-Related Outcomes Carmelinda Ruggiero, Carla Caffarelli, Valeria Calsolaro, Laura Tafaro, Francesca Riuzzi, Valentina Bubba, Nicola Napoli, Marika Ferracci, Patrizia Mecocci, Andrea Giusti, Giuseppe Rinonapoli Drugs & Aging.2025; 42(1): 21. CrossRef
Long-Term Efficacy and Safety of Denosumab: Insights beyond 10 Years of Use Jeonghoon Ha, Youn-Ju Lee, Jinyoung Kim, Chaiho Jeong, Yejee Lim, Jeongmin Lee, Ki-Hyun Baek Endocrinology and Metabolism.2025; 40(1): 47. CrossRef
Disorders of bone and mineral metabolism in pregnancy and lactation: A case based clinical review Manju Chandran, Sarah Ying Tse Tan Osteoporosis and Sarcopenia.2025; 11(1): 1. CrossRef
Axillaridine A suppresses osteoclastogenesis and alleviates ovariectomy-induced bone loss
via inhibition of RANKL-mediated RANK signaling pathways
Jin Li, Jing Xu, Zhe Jiang, Meiyan Duan, Yingqi Yin, Zemin Xiang, Xuanjun Wang, Jun Sheng, Titi Liu, Huanhuan Xu Food Science and Human Wellness.2025; 14(6): 9250397. CrossRef
Denosumab: A Useful Addition to the Armamentarium for the Management of Male Osteoporosis Jijith Krishnan, Sham Santhanam, Bhuwan Singh, Salim Patel, Divya G Bhojwani, Sameer Muchhala Cureus.2024;[Epub] CrossRef
Enhancing Treatment Success in Osteoporosis: Optimising the Use of Teriparatide
Denosumab combined with chemotherapy followed by anlotinib in the treatment of multiple metastases of malignant peripheral nerve sheath tumor: a case report and literature review Qian Chen, Haocheng Cui, Kai Zheng, Ming Xu, Xiuchun Yu Frontiers in Oncology.2024;[Epub] CrossRef
The use of denosumab in osteoporosis – an update on efficacy and drug safety Dima L. Diab, Nelson B. Watts Expert Opinion on Drug Safety.2024; 23(9): 1069. CrossRef
Denosumab in Osteoporosis: Predicting Long-Term Efficacy beyond 10 Years Jeongmin Lee, Youn-Ju Lee, Jeonghoon Ha Journal of Bone Metabolism.2024; 31(3): 246. CrossRef
Osteoporose – Definition, Risikoerfassung, Diagnose, Prävention und Therapie (Update 2024) Hans Peter Dimai, Christian Muschitz, Karin Amrein, Rosemarie Bauer, Daniel Cejka, Rudolf Wolfgang Gasser, Reinhard Gruber, Judith Haschka, Timothy Hasenöhrl, Franz Kainberger, Katharina Kerschan-Schindl, Roland Kocijan, Jürgen König, Norbert Kroißenbrunn Wiener klinische Wochenschrift.2024; 136(S16): 599. CrossRef
Denosumab stimulates spermatogenesis in infertile men with preserved Sertoli cell capacity Christine H. Andreassen, Rune Holt, Li Juel Mortensen, Nadia Krarup Knudsen, John E. Nielsen, Nadia Nicholine Poulsen, Sam K. Yahyavi, Ida M. Boisen, Zhihui Cui, Luisina Ongaro, Jasmin P. Hjerresen, Birgitte G. Toft, Thomas Hasselager, Niklas R. Jørgensen Cell Reports Medicine.2024; 5(10): 101783. CrossRef
Loss of lower extremity bone mineral density 1 year after denosumab is discontinued in persons with subacute spinal cord injury Christopher M. Cirnigliaro, Michael F. La Fountaine, J. Scott Parrott, Steven C. Kirshblum, Susan J. Sauer, Sue A. Shapses, Isa A. McClure, William A. Bauman Osteoporosis International.2023; 34(4): 741. CrossRef
Persistence with Denosumab in Male Osteoporosis Patients: A Real-World, Non-Interventional Multicenter Study Chaiho Jeong, Jeongmin Lee, Jinyoung Kim, Jeonghoon Ha, Kwanhoon Jo, Yejee Lim, Mee Kyoung Kim, Hyuk-Sang Kwon, Tae-Seo Sohn, Ki-Ho Song, Moo Il Kang, Ki-Hyun Baek Endocrinology and Metabolism.2023; 38(2): 260. CrossRef
Original Articles
Mineral, Bone & Muscle Big Data Articles (National Health Insurance Service Database)
Background Diabetic kidney disease (DKD) is associated with an elevated risk of fractures. However, little is known about the association between proteinuric or non-proteinuric DKD and the risk of hip fracture. Thus, we investigated the incidence of hip fractures among Korean adults with type 2 diabetes mellitus (T2DM) stratified by DKD phenotype.
Methods In this retrospective cohort study using the Korean National Health Insurance Service database, patients with T2DM who received at least one general health checkup between 2009 and 2012 were followed until the date of hip fracture, death, or December 31, 2018. We classified the DKD phenotype by proteinuria and estimated glomerular filtration rate (eGFR), as follows: no DKD (PU−GFR−), proteinuric DKD with normal eGFR (PU+GFR−), non-proteinuric DKD with reduced eGFR (PU−GFR+), and proteinuric DKD with reduced eGFR (PU+GFR+)
Results The cumulative incidence of hip fractures was highest in the PU+GFR+ group, followed by the PU−GFR+ group and the PU+GFR− group. After adjustment for confounding factors, the hazard ratio (HR) for hip fracture was still highest in the PU+GFR+ group. However, the PU+GFR− group had a higher HR for hip fracture than the PU−GFR+ group (PU+GFR+ : HR, 1.69; 95% confidence interval [CI], 1.57 to 1.81; PU+GFR− : HR, 1.37; 95% CI, 1.30 to 1.46; PU−GFR+ : HR, 1.20; 95% CI, 1.16 to 1.24 using the PU−GFR− group as the reference category).
Conclusion The present study demonstrated that DKD was significantly associated with a higher risk of hip fracture, with proteinuria as a major determinant.
Citations
Citations to this article as recorded by
Associations Between Renal Dysfunction Subtypes and Vertebral Fracture in Patients with Type 2 Diabetes: A Longitudinal Study Nandong Hu, Yiping Zhang, Zicheng Wei, Rui Yu, Yingying Zhang, Xiao Chen Diabetes, Metabolic Syndrome and Obesity.2025; Volume 18: 1915. CrossRef
Proteinuria screening and risk of bone fracture: a retrospective cohort study using a nationwide population-based database Akira Okada, Akira Honda, Hideaki Watanabe, Yusuke Sasabuchi, Shotaro Aso, Kayo Ikeda Kurakawa, Masaomi Nangaku, Toshimasa Yamauchi, Hideo Yasunaga, Hirotaka Chikuda, Takashi Kadowaki, Satoko Yamaguchi Clinical Kidney Journal.2024;[Epub] CrossRef
Fracture risks associated with sodium-glucose cotransporter-2 inhibitors in type 2 diabetes patients across eGFR and albuminuria categories: A population-based study in Hong Kong David Tak Wai Lui, Tingting Wu, Eric Ho Man Tang, Ivan Chi Ho Au, Chi Ho Lee, Yu Cho Woo, Kathryn Choon Beng Tan, Carlos King Ho Wong Diabetes Research and Clinical Practice.2023; 197: 110576. CrossRef
Diagnose und Management der Osteoporose bei Diabetes mellitus (Update 2023) Christian Muschitz, Alexandra Kautzky-Willer, Yvonne Winhofer, Martina Rauner, Judith Haschka, Daniel Cejka, Robert Wakolbinger-Habel, Peter Pietschmann Wiener klinische Wochenschrift.2023; 135(S1): 207. CrossRef
Association between exercise and risk of fractures in new-onset type 2 diabetes: a retrospective cohort study Seung Eun Lee, Juhwan Yoo, Bong-Seong Kim, Kyoung-Ah Kim, Kyungdo Han, Han Seok Choi Archives of Osteoporosis.2023;[Epub] CrossRef
Two-Year Changes in Diabetic Kidney Disease Phenotype and the Risk of Heart Failure: A Nationwide Population-Based Study in Korea Seung Eun Lee, Juhwan Yoo, Han Seok Choi, Kyungdo Han, Kyoung-Ah Kim Diabetes & Metabolism Journal.2023; 47(4): 523. CrossRef
Mineral, Bone & Muscle Big Data Articles (National Health Insurance Service Database)
Background In South Korea, women aged 66 years are eligible for complimentary bone mineral density (BMD) screening via the National Screening Program for Transitional Ages. We aimed to evaluate the 10-year fracture risk in women receiving BMD screening between January 2008 and December 2015.
Methods BMD was classified as normal (T-score ≥–1.0 standard deviation [SD]), osteopenia (T-score <–1.0 SD and >–2.5 SD), and osteoporosis (T score ≤–2.5 SD) from dual-energy X-ray absorptiometry. Follow-up continued from the screening date until a diagnosis for clinical fragility fracture (including sites of the vertebrae, hip, pelvis, clavicle, humerus, forearm, wrist, lower leg, and ankle), censored at the earliest date of trauma, death, or December 2017; fracture was ascertained using diagnostic codes from the National Health Insurance Service database. A multivariable Cox proportional hazard model was used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for the risk of fracture in women with osteopenia or osteoporosis relative to women with normal BMD.
Results Among the 271,197 women screened, 44.0% had osteopenia and 35.2% had osteoporosis. The 10 year cumulative incidence of fragility fractures was 31.1%, 37.5%, and 44.3% in women with normal BMD, osteopenia, and osteoporosis, respectively. Fracture risk was higher in women with osteopenia (HR, 1.31; 95% CI, 1.28 to 1.34) and osteoporosis (HR, 1.68; 95% CI, 1.64 to 1.72) than in women with normal BMD.
Conclusion Women with osteopenia and women with osteoporosis, identified by the national BMD screening program, demonstrated a substantially elevated risk of fracture.
Citations
Citations to this article as recorded by
Concentration and genetic regulation of sex hormone binding globulin and fracture risk in older women Yuanyuan Wang, Chenglong Yu, Rakibul M. Islam, Sultana Monira Hussain, Anna L. Barker, Paul Lacaze, John J. McNeil, Susan R. Davis Climacteric.2025; 28(2): 184. CrossRef
Twenty-Year Trends in Osteoporosis Treatment and Post-Fracture Care in South Korea: A Nationwide Study Kyoung Jin Kim, Kyoung Min Kim, Young-Kyun Lee, Jihye Kim, Hoyeon Jang, Jaiyong Kim, Ha Young Kim Journal of Bone Metabolism.2025; 32(1): 57. CrossRef
Inositols and Bone Health: Potential Therapeutic Applications in Osteoporosis Prevention and Treatment Fiammetta Cipriani, Lucio Gnessi, Mikiko Watanabe, Roberto Baldelli Nutrients.2025; 17(12): 1999. CrossRef
Understanding the long-term impact of incident osteoporotic fractures on healthcare utilization and costs in Korean postmenopausal women S. Han, S. Kim, E.J. Yeh, H.S. Suh Osteoporosis International.2024; 35(2): 339. CrossRef
Duration of osteoporosis treatment to reduce the risk of subsequent osteoporotic fracture and all-cause mortality in elderly hip fracture patients in a Korean real-world study Soong Joon Lee, Minjoon Cho, Hojoon Lee, Hyuna Lim, Jae Hyup Lee Archives of Osteoporosis.2024;[Epub] CrossRef
Do Patients with Benign Paroxysmal Positional Vertigo Have a Higher Prevalence of Osteoporosis? A Systematic Review and Meta-Analysis Chul-Ho Kim, Keunho Kim, Yeonjoo Choi Journal of Personalized Medicine.2024; 14(3): 303. CrossRef
Prediction models incorporating second metacarpal cortical index for osteoporosis in rheumatoid arthritis: Externally validated machine learning models developed using data from the KURAMA cohort Ryohei Saito, Takayuki Fujii, Koichi Murata, Akira Onishi, Kosaku Murakami, Masao Tanaka, Koichiro Ohmura, Tadashi Yasuda, Akio Morinobu, Shuichi Matsuda International Journal of Rheumatic Diseases.2024;[Epub] CrossRef
Big Data Research in the Field of Endocrine Diseases Using the Korean National Health Information Database Sun Wook Cho, Jung Hee Kim, Han Seok Choi, Hwa Young Ahn, Mee Kyoung Kim, Eun Jung Rhee Endocrinology and Metabolism.2023; 38(1): 10. CrossRef
Chronic airway disease as a major risk factor for fractures in osteopenic women: Nationwide cohort study Sung Hye Kong, Ae Jeong Jo, Chan Mi Park, Kyun Ik Park, Ji Eun Yun, Jung Hee Kim Frontiers in Endocrinology.2023;[Epub] CrossRef
Biomimetic Porous Magnesium Alloy Scaffolds Promote the Repair of Osteoporotic Bone Defects in Rats through Activating the Wnt/β-Catenin Signaling Pathway Yuanchao Zhu, Gaozhi Jia, Yifei Yang, Jian Weng, Su Liu, Mengwei Zhang, Geng Zhang, Haotian Qin, Yixiao Chen, Qi Yang, Guangyin Yuan, Fei Yu, Hui Zeng ACS Biomaterials Science & Engineering.2023; 9(6): 3435. CrossRef
Correlation between bone mineral density and bone metabolic markers in postmenopausal women with osteoporotic fractures at different C-terminal telopeptide of type 1 collagen levels: a retrospective analysis study Xiaonan Zhu, Lin Chen, Ling Pan, Yuexi Zeng, Qiang Fu, Yanbin Liu, Yongde Peng, Yufan Wang, Li You Menopause.2023; 30(11): 1139. CrossRef
Age-Dependent Association of Height Loss with Incident Fracture Risk in Postmenopausal Korean Women Chaewon Lee, Hye-Sun Park, Yumie Rhee, Namki Hong Endocrinology and Metabolism.2023; 38(6): 669. CrossRef
A Meaningful Journey to Predict Fractures with Deep Learning Jeonghoon Ha Endocrinology and Metabolism.2022; 37(4): 617. CrossRef
The Efficacy of Selective Estrogen Receptor Modulators Monotherapies in Postmenopausal Women with Osteopenia Kyung Wook Kim, Young Il Kim, Ki-Choul Kim Journal of Bone Metabolism.2022; 29(3): 185. CrossRef
Correlation of Psoas Muscle Index with Fragility Vertebral Fracture: A Retrospective Cross-Sectional Study of Middle-Aged and Elderly Women Yihui Zhang, Yilihamu Dilixiati, Wei Jiang, Xiufeng Cao, Yuanyuan Chen, Hui Guo, Christian-Heinz Anderwald International Journal of Endocrinology.2022; 2022: 1. CrossRef
Treat-to-target (TTT) for osteoporosis is a concept for individualizing patient treatment decisions that focuses on achieving an acceptable level of fracture risk rather than response to treatment alone. While a response to treatment is essential in order to achieve an acceptable level of risk, it is not necessarily sufficient. Some patients have a good response to treatment yet remain at high level of fracture risk. Since there is no way to directly measure bone strength in patients treated for osteoporosis, a surrogate measurement must be used. Bone mineral density (BMD) is commonly used to select patients for treatment and has emerged as the most useful surrogate for assessing reduction of fracture risk after treatment is started. Recent large meta-regression studies have shown a robust correlation between larger increases in BMD with treatment and greater reductions in fracture risk. Application of TTT for osteoporosis involves assessing fracture risk before starting treatment and initiating treatment with an agent that is most likely to reduce fracture risk to an acceptable level, represented by a target BMD T-score, over a reasonable period of time. This review offers suggestions for implementing TTT for osteoporosis in clinical practice and managing patients who fail or succeed in reaching the target. More study is needed to fully validate the use of TTT for osteoporosis for initiating and modifying treatments to reduce fracture risk.
Citations
Citations to this article as recorded by
First‐line treatment of osteoporosis with osteoanabolic therapy: a new opportunity Jasna Aleksova, Peter Ebeling Internal Medicine Journal.2025;[Epub] CrossRef
Efficacy of a single 5 mg zoledronic acid infusion in preventing bone loss and fracture in postmenopausal women with breast cancer Han-Sang Baek, Kabsoo shin, Jinyoung Kim, Chaiho Jeong, Jeongmin Lee, Yejee Lim, Ki-Hyun Baek, Jeonghoon Ha Journal of Bone and Mineral Metabolism.2024; 42(6): 720. CrossRef
Treatment sequencing using the dual amylin and calcitonin receptor agonist KBP-336 and semaglutide results in durable weight loss Anna Thorsø Larsen, Morten A. Karsdal, Kim Henriksen European Journal of Pharmacology.2023; 954: 175837. CrossRef
Osteoporosis: Spotlight on current approaches to pharmacological treatment Dilşad Sindel Turkish Journal of Physical Medicine and Rehabilitation.2023; 69(2): 140. CrossRef
Postmenopausal Osteoporosis Caren G. Solomon, Marcella Donovan Walker, Elizabeth Shane New England Journal of Medicine.2023; 389(21): 1979. CrossRef
Prevalence and Risk Factors of T-Score Spine-Hip Discordance in Patients with Osteoporotic Vertebral Compression Fracture Byung-Ho Yoon, Ho Won Kang, Su Min Kim, Young Do Koh Journal of Bone Metabolism.2022; 29(1): 43. CrossRef
Pharmacological treatment of osteoporosis: 2022 update Yunkyung Jeon, In-Joo Kim Journal of the Korean Medical Association.2022; 65(4): 241. CrossRef