TY - JOUR
T1 - Treatment-Related Changes in Bone Turnover and Fracture Risk Reduction in Clinical Trials of Anti-Resorptive Drugs
T2 - A Meta-Regression
AU - for the Foundation for the National Institutes of Health (FNIH) Bone Quality Project
AU - Bauer, Douglas C.
AU - Black, Dennis M.
AU - Bouxsein, Mary L.
AU - Lui, Li Yung
AU - Cauley, Jane A.
AU - de Papp, Anne E.
AU - Grauer, Andreas
AU - Khosla, Sundeep
AU - McCulloch, Charles E.
AU - Eastell, Richard
N1 - Funding Information:
The Bone Quality Project would like to thank the following groups for their contribution and support: Scientific and financial support for the FNIH Bone Quality Project are made possible through direct contributions by: AgNovos Healthcare, American Society for Bone and Mineral Research, Amgen Inc., Daiichi Sankyo, Inc., Dairy Research Institute, Eli Lilly and Company, Merck Sharp & Dohme Corp., a subsidiary of Merck & Co., Inc., Kenilworth, NJ, USA, and Roche Diagnostics Corporation. We thank Jean Hietpas, Charles McCulloch, Lisa Palermo, Lucy Wu, Gayle Lester, Sanya Fanous-Whitaker, and Steve Hoffmann for their leadership and expertise on the Project Team. In-kind data to support the project was provided by Actavis, Amgen Inc., Bayer Schering Pharma Oy, Eli Lilly and Company, GlaxoSmithKline, Merck Sharp & Dohme Corp., a subsidiary of Merck & Co., Inc., Kenilworth, NJ, USA, National Institute of Arthritis and Musculoskeletal and Skin Diseases & National Heart, Lung, and Blood Institute, Novartis, Pfizer, Inc., Roche Diagnostics Corporation, and Sermonix.
Funding Information:
The Bone Quality Project would like to thank the following groups for their contribution and support: Scientific and financial support for the FNIH Bone Quality Project are made possible through direct contributions by: AgNovos Healthcare, American Society for Bone and Mineral Research, Amgen Inc., Daiichi Sankyo, Inc., Dairy Research Institute, Eli Lilly and Company, Merck Sharp & Dohme Corp., a subsidiary of Merck & Co., Inc., Kenilworth, NJ, USA, and Roche Diagnostics Corporation. We thank Jean Hietpas, Charles McCulloch, Lisa Palermo, Lucy Wu, Gayle Lester, Sanya Fanous-Whitaker, and Steve Hoffmann for their leadership and expertise on the Project Team. In-kind data to support the project was provided by Actavis, Amgen Inc., Bayer Schering Pharma Oy, Eli Lilly and Company, GlaxoSmithKline, Merck Sharp & Dohme Corp., a subsidiary of Merck & Co., Inc., Kenilworth, NJ, USA, National Institute of Arthritis and Musculoskeletal and Skin Diseases & National Heart, Lung, and Blood Institute, Novartis, Pfizer, Inc., Roche Diagnostics Corporation, and Sermonix. Authors' roles: Study design: DCB and DMB. Data collection: DCB, DMB and LL. Data analysis: DCB, DMB, LL and CM. Data interpretation: DCB, DMB, MB, LL, JC, AP, AG, SK, CM and RE. TC, DD, RF, and AF. Drafting manuscript: RE, DCB, DBM, MB. Revising manuscript content: DCB. Approving final version of manuscript: DCB, DMB, MB, LL, JC, AP, AG, SK, CM, and RE. DCB takes responsibility for the integrity of the data analysis.
Publisher Copyright:
© 2017 American Society for Bone and Mineral Research
PY - 2018/4
Y1 - 2018/4
N2 - 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.
AB - 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.
KW - BIOCHEMICAL MARKERS OF BONE TURNOVER
KW - BONE MODELING AND REMODELING
KW - DISEASES AND DISORDERS OF/RELATED TO BONE
KW - EPIDEMIOLOGY
KW - OSTEOPOROSIS
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U2 - 10.1002/jbmr.3355
DO - 10.1002/jbmr.3355
M3 - Article
C2 - 29318649
AN - SCOPUS:85040179407
SN - 0884-0431
VL - 33
SP - 634
EP - 642
JO - Journal of Bone and Mineral Research
JF - Journal of Bone and Mineral Research
IS - 4
ER -