Article
Endocrinology & Metabolism
T. P. Ho-Le, H. T. T. Tran, J. R. Center, J. A. Eisman, H. T. Nguyen, T. Nguyen
Summary: A study on 2188 women and 1324 men found that an osteogenomic profile constructed from 62 genetic variants improved the clinical net benefit of fracture risk prediction over and above that of clinical risk factors and BMD, especially in higher risk thresholds.
OSTEOPOROSIS INTERNATIONAL
(2021)
Article
Endocrinology & Metabolism
Thao P. Ho-Le, Thach S. Tran, Huy G. Nguyen, Jacqueline R. Center, John A. Eisman, Tuan Nguyen
Summary: This study aims to examine the association between a polygenic risk score (PRS) and lifetime fracture risk. The findings suggest that individuals with high PRS are at a greater risk of fractures, especially hip fractures. The study highlights the potential significance of incorporating the polygenic risk score into personalized fracture risk assessment.
JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM
(2023)
Article
Endocrinology & Metabolism
Namki Hong, Heajeong Park, Chang Oh Kim, Hyeon Chang Kim, Jin-Young Choi, Hwiyoung Kim, Yumie Rhee
Summary: Dual-energy X-ray absorptiometry (DXA)-based bone radiomics scores from hip images may improve hip fracture prediction in older women. The study showed that an increase in bone radiomics score was associated with an elevated risk of incident hip fracture.
JOURNAL OF BONE AND MINERAL RESEARCH
(2021)
Article
Engineering, Biomedical
Alessandra Aldieri, Pinaki Bhattacharya, Margaret Paggiosi, Richard Eastell, Alberto Luigi Audenino, Cristina Bignardi, Umberto Morbiducci, Mara Terzini
Summary: This study proposes a statistical model based on three-dimensional shape and intensity for predicting hip fracture risk in Caucasian postmenopausal women. The results show that intensity components outperform shape components in stratifying patients based on their fracture status, and the combination of intensity and shape further improves risk stratification.
ANNALS OF BIOMEDICAL ENGINEERING
(2022)
Article
Genetics & Heredity
Petar Brlek, Darko Anticevic, Vilim Molnar, Vid Matisic, Kristina Robinson, Swaroop Aradhya, Dalibor Krpan, Dragan Primorac
Summary: Osteogenesis imperfecta (OI) is a complex genetic bone disease caused by mutations in various genes, and recent molecular studies on signaling pathways have contributed to a better understanding of its pathogenesis.
Article
Endocrinology & Metabolism
Laura Iconaru, Alexia Charles, Felicia Baleanu, Murielle Surquin, Florence Benoit, Aude Mugisha, Michel Moreau, Mairanne Paesmans, Rafix Karmali, Michel Rubinstein, Serge Rozenberg, Jean-Jacques Body, Pierre Bergmann
Summary: Three prediction models were proposed based on prospective cohort data to identify patients at greatest risk of imminent fracture, classified by fracture site. These models utilized clinical risk factors and bone mineral density as predictive indicators, with predictive accuracy evaluated using calibration curves and AUROC. The models demonstrated reasonable accuracy in calculating the imminent risk of fracture at different sites after a recent sentinel fracture.
JOURNAL OF BONE AND MINERAL RESEARCH
(2022)
Article
Medicine, General & Internal
Yang Jiang, Wei Zhang, Shihao Huang, Qing Huang, Haoyi Ye, Yurong Zeng, Xin Hua, Jinhui Cai, Zhifeng Liu, Qingyu Liu
Summary: This study aimed to develop a radiomics nomogram for the preoperative prediction of new vertebral fractures (NVFs) after vertebral augmentation (VA). The radiomics features were extracted from MRI images and combined with the presence of intravertebral cleft and number of previous vertebral fractures to develop a predictive model. The nomogram showed good predictive performance, successfully categorizing patients into high- or low-risk subgroups.
Article
Endocrinology & Metabolism
Claudia Beaudoin, Sonia Jean, Lynne Moore, Philippe Gamache, Louis Bessette, Louis-Georges Ste-Marie, Jacques P. Brown
Summary: This study derived and validated predictive models using healthcare administrative data to accurately identify individuals at high risk of osteoporotic fracture. The models included predictors such as age, sex, diabetes, and were found to have good predictive performance, especially for predicting hip/femur fractures. Further validation in external cohorts is recommended for future surveillance of osteoporosis.
JOURNAL OF BONE AND MINERAL RESEARCH
(2021)
Article
Oncology
Lichen Ji, Wei Zhang, Xugang Zhong, Tingxiao Zhao, Xixi Sun, Senbo Zhu, Yu Tong, Junchao Luo, Youjia Xu, Di Yang, Yao Kang, Jin Wang, Qing Bi
Summary: The risk of osteoporosis is higher in breast cancer patients compared to healthy populations. Machine learning models can be used to predict the risk of osteoporosis, fracture occurrence, and prognosis. These models show better performance than current models and can improve decision making.
FRONTIERS IN ONCOLOGY
(2022)
Article
Endocrinology & Metabolism
Kaisa K. Ivaska, Fiona E. McGuigan, Linnea Malmgren, Paul Gerdhem, Helena Johansson, John A. Kanis, Kristina E. Akesson
Summary: This study found that CTX, urinary OC, and TRAcP5b are predictive for fracture risk within 1 to 3 years, but are less valuable in the long term or in individuals above the age of 80.
CALCIFIED TISSUE INTERNATIONAL
(2022)
Article
Endocrinology & Metabolism
Sebastian Ruehling, Julian Schwarting, Matthias F. Froelich, Maximilian T. Loeffler, Jannis Bodden, Moritz R. Hernandez R. Petzsche, Thomas Baum, Maria Wostrack, A. Kaywan Aftahy, Vanadin Seifert-Klauss, Nico Sollmann, Claus Zimmer, Jan S. Kirschke, Fabian Tollens
Summary: Opportunistic quantitative computed tomography (oQCT) derived from non-dedicated routine CT has demonstrated high accuracy in diagnosing osteoporosis and predicting vertebral fractures (VFs). In terms of cost-effectiveness, oQCT screening is more cost-effective than DXA screening and can prevent more VFs.
FRONTIERS IN ENDOCRINOLOGY
(2023)
Article
Endocrinology & Metabolism
W. Pluskiewicz, A. Werner, M. Bach, P. Adamczyk, B. Drozdzowska
Summary: The study demonstrates a significant discrepancy between fracture prediction and actual prevalence when using unified cutoff thresholds. Differentiated thresholds were proposed to improve the accuracy of fracture risk prediction tools.
ARCHIVES OF OSTEOPOROSIS
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Hui Yang, Sheng Yan, Jiang Li, Xiuzhu Zheng, Qianqian Yao, Shaofeng Duan, Jianzhong Zhu, Changqin Li, Jian Qin
Summary: This study aimed to distinguish between acute and chronic osteoporotic vertebral fractures using radiomics-clinical analysis based on CT imaging. The results showed that the quantitative predictive models based on radiomic features and clinical fracture line feature had good predictive ability.
EUROPEAN JOURNAL OF RADIOLOGY
(2022)
Article
Endocrinology & Metabolism
I-Ting Liu, Fu-Wen Liang, Chia-Chun Li, Yin-Fan Chang, Zih-Jie Sun, Tsung-Hsueh Lu, Chin-Sung Chang, Chih-Hsing Wu
Summary: The Taiwan FRAX(R) calculator has been validated for predicting incident fractures and cutoff values have been proposed for fracture risk prediction in Taiwanese individuals.
ARCHIVES OF OSTEOPOROSIS
(2022)
Article
Public, Environmental & Occupational Health
Yi-Qun Yang, Xing-Hao Yu, Lin Bo, Shu-Feng Lei, Fei-Yan Deng
Summary: This study examined the influence of healthy lifestyles and genetic factors on the risk of osteoporosis. The results showed that adherence to healthy lifestyles can reduce the risk of osteoporosis and fractures in individuals with different genetic risks.
INTERNATIONAL JOURNAL OF PUBLIC HEALTH
(2022)
Article
Computer Science, Artificial Intelligence
Myong Chol Jung, Rifai Chai, Jinchuan Zheng, Hung Nguyen
Summary: Biomechatronic systems have made significant advancements through integrating pattern recognition and regression algorithms, but are often affected by disturbances in real-world environments. The proposed WRGP algorithm in this study shows improved performance by adapting weights based on covariate shift, outperforming traditional LR and MLP models in robustness.
NEURAL COMPUTING & APPLICATIONS
(2022)
Article
Endocrinology & Metabolism
Dima A. Alajlouni, Dana Bliuc, Thach S. Tran, Robert D. Blank, Peggy M. Cawthon, Kristine E. Ensrud, Nancy E. Lane, Eric S. Orwoll, Jane A. Cauley, Jacqueline R. Center
Summary: Muscle strength and physical performance are associated with the risk of subsequent fracture and postfracture mortality. Low muscle strength and poor physical performance are related to higher postfracture mortality risk, while index measurements are not associated with subsequent fracture.
JOURNAL OF BONE AND MINERAL RESEARCH
(2022)
Article
Endocrinology & Metabolism
Lisanne Vranken, Irma J. A. de Bruin, Annemariek H. M. Driessen, Piet P. M. Geusens, John A. Eisman, Jacqueline R. Center, Robert Y. van der Velde, Heinrich M. J. Janzing, Sjoerd Kaarsemaker, Joop P. van den Bergh, Caroline E. Wyers
Summary: Fracture liaison services (FLS) are effective in preventing secondary fractures. This study evaluated whether FLS care is associated with reduced subsequent fracture and mortality risk over a 3-year follow-up period. The results showed that FLS care was associated with a lower mortality risk and lower subsequent major/hip fracture risk in the first year for patients with a major/hip index fracture, but not for patients with a non-major/non-hip fracture.
JOURNAL OF BONE AND MINERAL RESEARCH
(2022)
Article
Chemistry, Analytical
Rudy Gunawan, Yvonne Tran, Jinchuan Zheng, Hung Nguyen, Rifai Chai
Summary: A noise removal method using a new model Convolutional Neural Network (CNN) is proposed for improving image quality in computed tomography scans, which outperforms other CNN models in terms of quality score and visual observation.
Article
Chemistry, Analytical
Trung C. Phan, Adrian Pranata, Joshua Farragher, Adam Bryant, Hung T. Nguyen, Rifai Chai
Summary: This paper proposes an innovative methodology to find lifting techniques in people with chronic low back pain using camera data. The study utilizes feature extraction algorithm, clustering algorithm, and Bayesian neural network for data analysis and validation. The results suggest that there are four different lifting techniques among individuals with chronic low back pain, and one technique with minimal trunk movement and maximum knee movement demonstrates the lowest pain self-efficacy.
Article
Endocrinology & Metabolism
Dana Bliuc, Thach Tran, Weiwen Chen, Dunia Alarkawi, Dima A. Alajlouni, Fiona Blyth, Lyn March, Robert D. Blank, Jacqueline R. Center
Summary: This study aimed to determine the association between oral bisphosphonate (oBP) or denosumab (Dmab) use and cardiovascular events (CVEs). The results showed that there was no association between oBP or Dmab use and CVEs.
JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM
(2023)
Article
Medicine, General & Internal
Dana A. Bliuc, Thach Tran, Weiwen Chen, Dunia E. Alarkawi, Dima D. Alajlouni, Fiona R. Blyth, Lyn March, Kristine Ensrud, Robert Blank, Jacqueline Center
Summary: This study investigated the association between multimorbidity and osteoporosis investigation and treatment in fracture patients, and found that multimorbidity significantly impacted the treatment of osteoporosis. This suggests that fracture risk may be underestimated or underprioritized in the presence of other chronic conditions, highlighting the need for improved fracture care in these patients.
Article
Chemistry, Multidisciplinary
Alka Rachel John, Zehong Cao, Hsiang-Ting Chen, Kaylena Ehgoetz Martens, Matthew Georgiades, Moran Gilat, Hung T. Nguyen, Simon J. G. Lewis, Chin-Teng Lin
Summary: This study utilized EEG signals to distinguish between the onset of freezing of gait (FOG) and voluntary stopping in patients with advanced Parkinson's disease (PD). By employing a convolutional neural network (CNN), the researchers achieved a high classification accuracy in identifying the transition to FOG from normal walking and voluntary stopping.
APPLIED SCIENCES-BASEL
(2023)
Article
Endocrinology & Metabolism
Thao P. Ho-Le, Thach S. Tran, Huy G. Nguyen, Jacqueline R. Center, John A. Eisman, Tuan Nguyen
Summary: This study aims to examine the association between a polygenic risk score (PRS) and lifetime fracture risk. The findings suggest that individuals with high PRS are at a greater risk of fractures, especially hip fractures. The study highlights the potential significance of incorporating the polygenic risk score into personalized fracture risk assessment.
JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM
(2023)
Article
Chemistry, Analytical
Khanh Ha Nguyen, Matthew Ebbatson, Yvonne Tran, Ashley Craig, Hung Nguyen, Rifai Chai
Summary: This study investigated the functional connectivity in the brain source space using electroencephalogram (EEG) data of 48 participants during a driving simulation experiment. It found that the multi-band functional connectivity constructed with the phased lag index (PLI) method accurately classified driver fatigue and alert conditions. The results suggest that source-space functional connectivity can be a discriminative biomarker for detecting driving fatigue.
Article
Biology
Thach Tran, Thao Ho-Le, Dana Bliuc, Bo Abrahamsen, Louise Hansen, Peter Vestergaard, Jacqueline R. Center, Tuan Nguyen
Summary: The concept of "Skeletal Age" is introduced to convey the combined risk of fracture and fracture-associated mortality. Skeletal Age is defined as the sum of chronological age and the number of years of life lost associated with a fragility fracture. The study found that men tend to lose more years of life after a fragility fracture than women, and hip fractures result in the greatest loss of life years.
Article
Endocrinology & Metabolism
Thach S. Tran, Thao P. Ho-Le, Dana Bliuc, Jacqueline R. Center, Robert D. Blank, Tuan V. Nguyen
Summary: This study provides evidence that a population-wide strategy aimed at enhancing bone mineral density can lead to a substantial decrease in the incidence of hip fractures.
JOURNAL OF BONE AND MINERAL RESEARCH
(2023)
Review
Medicine, General & Internal
Rebekah Jane Moles, Lin Perry, Justine M. Naylor, Jacqueline Center, Peter Ebeling, Gustavo Duque, Gabor Major, Christopher White, Christopher Yates, Matthew Jennings, Mark Kotowicz, Thach Tran, Dana Bliuc, Lei Si, Kathryn Gibson, Benjamin Joseph Basger, Patrick Bolton, Stephen Barnett, Geraldine Hassett, Ayano Kelly, Barbara Bazarnik, Wafaa Ezz, Kate Luckie, Stephen Ross Carter
Summary: This paper describes a protocol for a randomized controlled trial to determine the efficacy of a home medication review (HMR) service for patients who have sustained minimal trauma fractures (MTFs). The trial will evaluate the impact of the HMR service on patients' intake of sedative/anticholinergic drugs, adherence to antiosteoporosis medications, and other secondary outcomes.
Article
Multidisciplinary Sciences
Malgorzata M. Brzozowska, Michelle Isaacs, Dana Bliuc, Paul A. Baldock, John A. Eisman, Chris P. White, Jerry R. Greenfield, Jacqueline R. Center
Summary: This study examined the impact of three types of bariatric surgery compared with dietary intervention on changes in insulin resistance and appetite hormones over 3 years. The results showed that all surgical groups experienced significant reductions in insulin resistance, with the Roux-en-Y gastric bypass showing the greatest difference at 12-36 months. Furthermore, the increase in postprandial PYY and adiponectin was associated with improvements in insulin resistance during weight stability.
SCIENTIFIC REPORTS
(2023)