Publications by authors named "D E Whittier"

Mechanical unloading causes bone loss, but it remains unclear whether disuse-induced changes to bone microstructure are permanent or can be recovered upon reloading. We examined bone loss and recovery in 17 astronauts using time-lapsed high-resolution peripheral quantitative computed tomography and biochemical markers to determine whether disuse-induced changes are permanent. During 6 months in microgravity, resorption was threefold higher than formation.

View Article and Find Full Text PDF

Purpose Of Review: We review the literature about patients 50 years and older with a recent clinical fracture for the presence of skeletal and extra-skeletal risks, their perspectives of imminent subsequent fracture, falls, mortality, and other risks, and on the role of the fracture liaison service (FLS) for timely secondary fracture prevention.

Recent Findings: Patients with a recent clinical fracture present with heterogeneous patterns of bone-, fall-, and comorbidity-related risks. Short-term perspectives include bone loss, increased risk of fractures, falls, and mortality, and a decrease in physical performance and quality of life.

View Article and Find Full Text PDF
Article Synopsis
  • Identifying individuals at risk for short-term fractures is critical, as many fractures happen in those without osteoporosis, and researchers studied bone microarchitecture's role in predicting these risks.
  • In a study of over 7,000 participants, they found measures of radius and tibia bone microarchitecture were significant predictors of 2-year fracture risk, even when factoring in traditional assessments like DXA-BMD and FRAX.
  • The results indicated that decreases in certain bone measures significantly increased fracture risk in both men and women, suggesting that HR-pQCT could enhance current methods for assessing fracture risk in older adults.
View Article and Find Full Text PDF
Article Synopsis
  • Osteoporotic fractures pose a significant risk for older adults, yet safe treatments are often underutilized among those most at risk, highlighting the need for better assessment methods.
  • * Artificial intelligence (AI) and machine learning (ML) can improve the identification of individuals at high fracture risk by analyzing complex data from medical records and devices.
  • * While AI-ML has the potential to enhance osteoporosis management through personalized approaches, it's essential to address concerns like model explainability, biases, and the overall impact on clinical practice.
View Article and Find Full Text PDF

Older men with high bone turnover have faster bone loss. We assessed the link between the baseline levels of bone turnover markers (BTMs) and the prospectively assessed bone microarchitecture decline in men. In 825 men aged 60-87 yr, we measured the serum osteocalcin (OC), bone alkaline phosphatase (BAP), N-terminal propeptide of type I procollagen (PINP), and C-terminal telopeptide of type I collagen (CTX-I), and urinary total deoxypyridinoline (tDPD).

View Article and Find Full Text PDF