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This study is an ancillary study to the UPLIFT trial (NCT03074643) to evaluate the effects of diet composition (i.e., amount of protein and carbohydrate) during a 6-month weight loss intervention and 12-months of follow-up on bone phenotypes in obese older adults. Participants will receive either a protein or carbohydrate supplement along with a behavioral weight loss intervention.
The aim of the study is to test whether the distal radius bone marrow show significant difference in the fat fraction in young women compared to post menopausal women with and without osteoporosis.
The goal of this translational study is to establish a newly emerging CT-based tool for the characterization of changes in bone micro-architecture and assessment of their implications for fracture-risk in a population of COPD patients at risk for osteoporosis. The tool will be suitable and generalizable across emerging CT scanners from different vendors, and it will provide a more structurally-based assessment of osteoporosis and bone loss than is provided by simple bone density measures. The study will characterize the impact of different COPD-related factors on bone structure, and their implications for fracture-risk, leading to the development of a COPD-specific model for assessment of fracture-risk that will utilize patient-specific demographic, clinical and radiographic data, and CT BMD at the spine, as well as bone structural measures at the hip and/or ankle.
Large amounts of experimental and animal evidence have confirmed that iron accumulation is associated with bone loss. However, it is still lack of the clinical studies relating iron accumulation to bone loss, especially in the pathological conditions during our Chinese. In this study, the investigators aim to assess the association between the levels of serum ferritin and bone mineral density in Chinese healthy postmenopausal women.
A phase 1 clinical trail to evaluate the safety and pharmacokinetic characteristic after administration of fixed-dose combination or loose combination of HUG186 in healthy adult male or menopausal female volunteers
Osteoporosis is a common disease among elderly people, which leads to an increased bone fracture risk. Bone fractures can greatly reduce quality of life and increase age-related problems including reduced life expectancy. In clinical practice, a bone mineral density (BMD) scan using dual-energy X-ray absorptiometry (DEXA) is used for diagnosing osteoporosis. However, DEXA does not always accurately predict who will develop fractures and who will not. This is because bone mineral density alone does not capture all of the factors that contribute to bone strength. One factor bone mineral density does not measure is trabecular microarchitecture of bone (structure of bone). Our goal in this study is to use a specialized CT scan called Dual-Energy CT (DECT) to capture information about the trabecular (spongy) bone in the vertebra of the lower (lumbar) spine. Research has shown that this kind of information helps in predicting bone strength in bone specimens. The investigator will use this information to develop a method to more accurately predict which patients are likely to experience fractures of the lumbar vertebra. These are the most common type of fractures associated with osteoporosis. The participant is being asked to participate in this research study because a physician is treating the participant for osteoporosis and the participant has met the initial criteria to participate in the study. Participation in this study involves having a DECT scan, as well as a DEXA scan if the participant has not had one recently (within two months). Research studies include only those individuals who choose to take part. Please take time to make a decision. Please ask the study doctor or the study staff to explain any words or information that are not understood. The participant may also want to discuss it with family members, friends or other health care providers.
This is a single-center, open-label, dose-escalating study to evaluate the safety, pharmacokinetics, immunogenicity, and preliminary efficacy of single dose subcutaneous injection of a fully human monoclonal antibody of receptor activator for nuclear factor-κ B ligand (RNAKL) (code name: TK006) in postmenopausal women.
Aims: To compare clinical outcomes for patients under FLS and usual care at the NTUH MH and BB. Method: Four hundred subjects with new hip fracture or newly identified vertebral fracture are randomly assigned into FLS and usual care (UC). FLS subjects received osteoporosis-related assessments, treatments, consultations on diet, medications, exercise, fall preventions given mainly by care managers with followed up telephone call at 4, 8, 12, 18, 24 months then annually for up to 10 years. Care managers will perform baseline assessments and follow them by telephone annually for up to 10 years for UC subjects. Major outcomes include bone mineral density assessment rate, calcium, vitamin D, and osteoporosis medication initiation and adherence rate, fall and fracture incidences, mortality, and healthcare resource utilizations.
In this study spatially offset Raman spectroscopy (SORS), which allows the collection of Raman spectra through turbid media, is being applied to collect Raman spectra of bone. The principal aim to find ways to use Raman spectroscopy to assess bone quality in vivo.
The goal of this study is to determine whether two new, non-X-ray techniques can discriminate between high-energy fractures of normal bone (trauma) and low-energy fractures (fragility) of osteoporotic bone. The current gold-standard for assessing fracture risk areal bone mineral density (aBMD) by dual energy X-ray absorptiometry (DXA) is not particularly effective at identifying individuals who are at risk of suffering a fracture. Yet, there is a growing population of diabetics and elderly individuals prone to fractures. In effect, the age-related and diabetes-related increase in fracture risk is independent of a person's aBMD. These findings stress the urgency in developing diagnostic tools that can improve fracture risk prediction so that patients can be treated with the appropriate anti-fracture therapies.