Prospective Biomarkers of Bone Metabolism in Hemophilia A
1 other identifier
interventional
16
1 country
1
Brief Summary
One of the major shortcomings in studying bone disease in hemophilia is the lack of fracture outcome data demonstrating the clinical significance of decreased BMD and altered bone biomarkers in the hemophilia population. This study demonstrates that PwH have an increased risk of fracture compared to the general population and that the issue of bone health will increase in importance as the PwH population ages.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for phase_3
Started Dec 2014
Typical duration for phase_3
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
November 25, 2014
CompletedStudy Start
First participant enrolled
December 1, 2014
CompletedFirst Posted
Study publicly available on registry
December 3, 2014
CompletedPrimary Completion
Last participant's last visit for primary outcome
April 16, 2018
CompletedStudy Completion
Last participant's last visit for all outcomes
April 16, 2018
CompletedResults Posted
Study results publicly available
March 24, 2020
CompletedApril 1, 2020
March 1, 2020
3.4 years
November 25, 2014
May 28, 2019
March 23, 2020
Conditions
Keywords
Outcome Measures
Primary Outcomes (4)
Bone Biomarker Density (BMD)
BMD was measured as Z-scores/T-scores using Dual-Energy X-ray Absorptiometry (DEXA) scanning; specifically looking at Spine, Hip/Neck, and Hip total scores. BMD Z-scores compare what would be expected in someone your age and body size. A Z-score, is a unit of standard deviation, where above 0 would indicate the bones are more dense than expected, while a Z-score below 0 would indicate the bones were less dense.
5 days
Joint Health
Hemophilia Joint Health Score (HJHS); with a higher score representing worst outcomes, scores could range from 0 (no problems) to a max score of 120 (severe problems).
5 days
Quality of Life Using the VAS and EQ-5D-3L
Visual Analog Scale (VAS) via the EQ-5D-3L was used to report participants self-rated health. EQ-5D-3L total score ranges from 5 (no problems) to 15 (significant problems). VAS scores could range from 0 (worst health ever) to 100 (best health ever).
5 days
Plasma Cytokine Concentration Differences From 0-hour to 24-hour
cytokines were measured using ELISA/magnetic bead multiplex kits. We calculated concentration change from hour 0 to hour 24. Cytokines: FGF, C-Terminal telopeptide (CTX-1), Dickkopf WNT signaling pathway inhibitor 1(DKK1), Eotaxin, fibroblast growth factor 23(FGF23), interferon gamma, interleukin 13, interleukin 1 beta, interleukin receptor 1 antagonist, interleukin 2, interleukin 4, interleukin 6, interleukin 17, interleukin 8, interleukin 9 Insulin, interferon gamma induced protein 10 (IP10), Leptin, monocyte chemoattractant protein1, monocyte chemoattractant protein1, macrophage inflammatory protein 1a (MIP1a), osteoclasts, Osteoprotegerin, osteopontin, platelet derived growth factors, parathyroid horomone, Recepter activator of nuclear factor kappa-B ligand (RANKL), chemokine ligand 5, sclerostin, transforming growth factor-beta 1, transforming growth factor beta 2, transforming growth factor beta 3, tumor necrosis factor alpha, vascular endothelial growth factor, MIP1b.
24 hours
Other Outcomes (3)
Medication Adherence
5 days
Hemophilia Activities List (HAL) and the International Society of Thrombosis and Hemostasis- Bleeding Assessment Tool (ISTH-BAT)
5 days
Participant Quality of Life
5 days
Study Arms (1)
Open label
EXPERIMENTALEveryone receives Advate (antihemophilic factor) on Day 1 and 3.
Interventions
Patients who are currently taking Advate as their factor replacement will be eligible for the 5-day study.
Eligibility Criteria
You may qualify if:
- Males with a diagnosis of hemophilia A with a historic baseline FVIII level ≤ 2%.
- Age \> 16 years old
- Currently using ADVATE as FVIII replacement therapy
You may not qualify if:
- Subject or guardian is unwilling or unable to give written informed consent and/or assent
- Joint or muscle bleeding within 2 weeks of Study Day 1
- Presence of a current factor inhibitor (\>0.6 BU/mL via Nijmegan-modified Bethesda assay)
- Known collagen vascular bone disease.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Oregon Health and Science University
Portland, Oregon, 97239, United States
Related Publications (14)
Plug I, Van Der Bom JG, Peters M, Mauser-Bunschoten EP, De Goede-Bolder A, Heijnen L, Smit C, Willemse J, Rosendaal FR. Mortality and causes of death in patients with hemophilia, 1992-2001: a prospective cohort study. J Thromb Haemost. 2006 Mar;4(3):510-6. doi: 10.1111/j.1538-7836.2006.01808.x.
PMID: 16460432BACKGROUNDSiboni SM, Mannucci PM, Gringeri A, Franchini M, Tagliaferri A, Ferretti M, Tradati FC, Santagostino E, von Mackensen S; Italian Association of Haemophilia Centres (AICE). Health status and quality of life of elderly persons with severe hemophilia born before the advent of modern replacement therapy. J Thromb Haemost. 2009 May;7(5):780-6. doi: 10.1111/j.1538-7836.2009.03318.x. Epub 2009 Feb 12.
PMID: 19220727BACKGROUNDGerstner G, Damiano ML, Tom A, Worman C, Schultz W, Recht M, Stopeck AT. Prevalence and risk factors associated with decreased bone mineral density in patients with haemophilia. Haemophilia. 2009 Mar;15(2):559-65. doi: 10.1111/j.1365-2516.2008.01963.x. Epub 2009 Feb 1.
PMID: 19187193BACKGROUNDWallny TA, Scholz DT, Oldenburg J, Nicolay C, Ezziddin S, Pennekamp PH, Stoffel-Wagner B, Kraft CN. Osteoporosis in haemophilia - an underestimated comorbidity? Haemophilia. 2007 Jan;13(1):79-84. doi: 10.1111/j.1365-2516.2006.01405.x.
PMID: 17212729BACKGROUNDBarnes C, Wong P, Egan B, Speller T, Cameron F, Jones G, Ekert H, Monagle P. Reduced bone density among children with severe hemophilia. Pediatrics. 2004 Aug;114(2):e177-81. doi: 10.1542/peds.114.2.e177.
PMID: 15286254BACKGROUNDGallacher SJ, Deighan C, Wallace AM, Cowan RA, Fraser WD, Fenner JA, Lowe GD, Boyle IT. Association of severe haemophilia A with osteoporosis: a densitometric and biochemical study. Q J Med. 1994 Mar;87(3):181-6.
PMID: 8208906BACKGROUNDTlacuilo-Parra A, Morales-Zambrano R, Tostado-Rabago N, Esparza-Flores MA, Lopez-Guido B, Orozco-Alcala J. Inactivity is a risk factor for low bone mineral density among haemophilic children. Br J Haematol. 2008 Mar;140(5):562-7. doi: 10.1111/j.1365-2141.2007.06972.x.
PMID: 18275434BACKGROUNDAmorosa V, Tebas P. Bone disease and HIV infection. Clin Infect Dis. 2006 Jan 1;42(1):108-14. doi: 10.1086/498511. Epub 2005 Nov 30.
PMID: 16323100BACKGROUNDAnagnostis P, Vakalopoulou S, Vyzantiadis TA, Charizopoulou M, Karras S, Goulis DG, Karagiannis A, Gerou S, Garipidou V. The clinical utility of bone turnover markers in the evaluation of bone disease in patients with haemophilia A and B. Haemophilia. 2014 Mar;20(2):268-75. doi: 10.1111/hae.12271. Epub 2013 Oct 7.
PMID: 24118364BACKGROUNDLiel MS, Greenberg DL, Recht M, Vanek C, Klein RF, Taylor JA. Decreased bone density and bone strength in a mouse model of severe factor VIII deficiency. Br J Haematol. 2012 Jul;158(1):140-3. doi: 10.1111/j.1365-2141.2012.09101.x. Epub 2012 Apr 2. No abstract available.
PMID: 22469061BACKGROUNDKempton CL, Antun A, Antoniucci DM, Carpenter W, Ribeiro M, Stein S, Slovensky L, Elon L. Bone density in haemophilia: a single institutional cross-sectional study. Haemophilia. 2014 Jan;20(1):121-8. doi: 10.1111/hae.12240. Epub 2013 Aug 1.
PMID: 23902277BACKGROUNDLee SK, Lorenzo J. Cytokines regulating osteoclast formation and function. Curr Opin Rheumatol. 2006 Jul;18(4):411-8. doi: 10.1097/01.bor.0000231911.42666.78.
PMID: 16763463BACKGROUNDBrinker MR, O'Connor DP. The incidence of fractures and dislocations referred for orthopaedic services in a capitated population. J Bone Joint Surg Am. 2004 Feb;86(2):290-7.
PMID: 14960673BACKGROUNDRoche AF, Roberts J, Hamill PV. Skeletal maturity of youths 12--17 years racial, geographic area, and socioeconomic differentials. United States, 1966-1970. Vital Health Stat 11. 1978 Oct;(167):1-98. No abstract available.
PMID: 214960BACKGROUND
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Results Point of Contact
- Title
- Dr. Jayson Taylor
- Organization
- Oregon Health & Science University
Study Officials
- PRINCIPAL INVESTIGATOR
Jason Taylor, MD, PhD
Oregon Health and Science
Publication Agreements
- PI is Sponsor Employee
- Yes
Study Design
- Study Type
- interventional
- Phase
- phase 3
- Allocation
- NA
- Masking
- NONE
- Purpose
- TREATMENT
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
November 25, 2014
First Posted
December 3, 2014
Study Start
December 1, 2014
Primary Completion
April 16, 2018
Study Completion
April 16, 2018
Last Updated
April 1, 2020
Results First Posted
March 24, 2020
Record last verified: 2020-03