4.6 Article

Treatment-Related Changes in Bone Turnover and Fracture Risk Reduction in Clinical Trials of Anti-Resorptive Drugs: A Meta-Regression

期刊

JOURNAL OF BONE AND MINERAL RESEARCH
卷 33, 期 4, 页码 634-642

出版社

WILEY
DOI: 10.1002/jbmr.3355

关键词

BIOCHEMICAL MARKERS OF BONE TURNOVER; BONE MODELING AND REMODELING; EPIDEMIOLOGY; OSTEOPOROSIS; DISEASES AND DISORDERS OF; RELATED TO BONE

资金

  1. AgNovos Healthcare
  2. American Society for Bone and Mineral Research
  3. Amgen Inc.
  4. Daiichi Sankyo, Inc.
  5. Dairy Research Institute
  6. Eli Lilly and Company
  7. Merck Sharp Dohme Corp.
  8. Kenilworth, NJ, USA
  9. Roche Diagnostics Corporation
  10. Actavis
  11. Bayer Schering Pharma Oy
  12. GlaxoSmithKline
  13. National Institute of Arthritis and Musculoskeletal and Skin Diseases
  14. National Heart, Lung, and Blood Institute
  15. Novartis
  16. Pfizer, Inc.
  17. Sermonix
  18. MRC [MR/K006312/1, MR/P020941/1] Funding Source: UKRI

向作者/读者索取更多资源

Few pooled analyses of antiresorptive (AR) treatment trials relate short-term changes in bone turnover markers (BTMs) to subsequent fracture reduction. Such information would be useful to assess new ARs or novel dosing regimens. In the Foundation for the National Institutes of Health (FNIH) Bone Quality project, we analyzed individual-level data from 28,000 participants enrolled in 11 bisphosphonate (BP) and three selective estrogen receptor modulator (SERM) placebo-controlled fracture endpoint trials. Using BTM results for two bone formation markers (bone-specific alkaline phosphatase [bone ALP] and pro-collagen I N-propeptide [PINP]) and two bone resorption markers (N-terminal and C-terminal telopeptide of type I collagen) and incident fracture outcome data, we performed a meta-regression relating the mean net effect of treatment on change in bone turnover (active minus placebo % difference after 3 to 12 months) to the log of study-wide fracture risk reduction, and used linear regression to plot the best fitting line. Separate analyses were performed for incident morphometric vertebral, nonvertebral, and hip fractures over 1 to 4 years of follow-up. Change in bone ALP and PINP were available for over 16,000 and 10,000 participants, respectively. For vertebral fracture, the results showed a strong relationship between treatment-related bone ALP or PINP changes and vertebral fracture risk reduction (r(2)=0.82 [p<0.001] and r(2)=0.75 [p=0.011], respectively) Relationships were weaker and no longer statistically significant for nonvertebral (r(2)=0.33 [p=0.053] and r(2)=0.53 [p=0.065], respectively) and hip fracture (r(2)=0.17 [p=0.24] and r(2)=0.43 [p=0.11], respectively) outcomes. Analyses limited to BP trials gave similar results. For all fracture types, relationships were weaker and nonsignificant for bone resorption markers. We conclude that short-term AR treatment-related changes in bone ALP and PINP strongly predict vertebral fracture treatment efficacy, but not nonvertebral or hip fracture treatment efficacy. Change in bone formation markers might be useful to predict the anti-vertebral fracture efficacy of new AR compounds or novel dosing regiments with approved AR drugs. (c) 2017 American Society for Bone and Mineral Research.

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