- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT02684747
Detecting Autologous Transfusion by Measuring Alterations in the Dynamics of Red Blood Cell Maturation and Recycling
May 7, 2018 updated by: Daniel Cushman, University of Utah
A total of 40 subjects will be recruited for participation in this study.
20 subjects (10 males and 10 females) will be randomized to the active group (those receiving re-infusion of autologous blood) and 20 subjects (10 males and 10 females) will be randomized to the placebo group (receiving NS infusion).
Study Overview
Status
Completed
Conditions
Intervention / Treatment
Detailed Description
Autologous blood transfusion is a major problem in a wide range of competitive sports.
Methods with increased sensitivity, specificity, and feasibility are needed to identify athletes who cheat in this manner and compromise their health and the integrity of their sports in general.
Complete blood counts (CBC) offer routine high-resolution assessment of the current hematologic status of individuals, providing estimates of a number of blood characteristics, such as the total hemoglobin concentration in the blood (HGB) and the volume fraction of cells in the blood (HCT).
These CBC components are homeostatically controlled by the carefully regulated dynamic processes of red blood cell (RBC) production in and release from the bone marrow, RBC maturation in the peripheral circulation over the course of the ~100-day RBC lifespan, and clearance and recycling of senescent cells.
Any significant perturbation to the circulating population of RBCs, like autologous transfusion, will immediately trigger compensatory modulation of one or more of these dynamic processes.
The investigators believe quantification of these underlying dynamic processes will enable us to detect autologous transfusion.
These dynamic RBC processes cannot currently be measured directly, but novel mathematical modeling enables their inference from routine complete blood and reticulocyte counts.
The investigators propose to test the ability of modeled RBC dynamics to identify instances of autologous blood transfusion.
Study Type
Interventional
Enrollment (Actual)
40
Phase
- Early Phase 1
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Locations
-
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Utah
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Salt Lake City, Utah, United States, 84132
- University of Utah Center for Clinical & Translational Science
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Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
18 years to 35 years (Adult)
Accepts Healthy Volunteers
Yes
Genders Eligible for Study
All
Description
Inclusion Criteria:
- Male or female between 18-35 years old
- Classified as low risk and will not have any major signs or symptoms suggestive of cardiovascular, pulmonary, or metabolic disease according to the American College of Sports Medicine's (ACSM) risk stratification categories
- The subjects should be well-trained endurance athletes. This group could consist of cyclists (road and mountain), triathletes, runners, long-distance swimmers, etc.
Exclusion Criteria:
- Age less than 18 or greater than 35 on the day of enrollment
- Any contraindication to blood donation as defined by the American Association of Blood Banks http://www.fda.gov/downloads/BiologicsBloodVaccines/BloodBloodProducts/QuestionsaboutBlood/UCM272981.pdf
- Any chronic illness (e.g.diabetes, heart disease, hypotension, anemia, hemoglobinopathy, marrow diseases, leukemia/lymphoma, pregnancy, amenorrhea/female athlete triad)
- Any abnormal CBC index or iron study; any blood dyscrasia
- Abnormal blood and urine tests for doping agents (e.g. phthalates)
- Positive uhCG or women who are attempting to get pregnant during the study period
- Unwilling or unable to provide blood samples or receive a blood transfusion
- Not a participant in endurance sports activities
- Are currently on any medications that might affect hematologic parameters including, but not restricted to, hematopoietic medications
- Subjects with a baseline hemoglobin above 16.7 g/dL, or baseline hematocrit below 35% or above 55%.
- Any subject that plans to participate in an organized athletic event (or USA Cycling sanctioned event) within 30 days following the re-infusion phase of the study will not be allowed to participate in the study
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
- Primary Purpose: Basic Science
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Double
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
---|---|
Experimental: Treatment - Autologous Transfusion
Participants will be randomized to the treatment group (autologous transfusion)
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Participants will receive autologous transfusion on Day 21
|
Placebo Comparator: Control - Normal Saline (Placebo)
Participants will either be randomized to the control group (saline transfusion)
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Participants will receive saline on Day 21
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Hematocrit
Time Frame: 8 weeks
|
This will be used within a mathematical model to define the volume (v) and hemoglobin (h) dynamics of a typical RBC as deterministic functions (f) and random fluctuations in the rates of these changes over time (ζ) (Patel, Patel, & Higgins, 2015).
|
8 weeks
|
Hemoglobin
Time Frame: 8 weeks
|
This will be used within a mathematical model to define the volume (v) and hemoglobin (h) dynamics of a typical RBC as deterministic functions (f) and random fluctuations in the rates of these changes over time (ζ) (Patel, Patel, & Higgins, 2015).
|
8 weeks
|
Reticulocyte count
Time Frame: 8 weeks
|
This will be used within a mathematical model to define the volume (v) and hemoglobin (h) dynamics of a typical RBC as deterministic functions (f) and random fluctuations in the rates of these changes over time (ζ) (Patel, Patel, & Higgins, 2015).
|
8 weeks
|
Mean corpuscular volume
Time Frame: 8 weeks
|
This will be used within a mathematical model to define the volume (v) and hemoglobin (h) dynamics of a typical RBC as deterministic functions (f) and random fluctuations in the rates of these changes over time (ζ) (Patel, Patel, & Higgins, 2015).
|
8 weeks
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Investigators
- Principal Investigator: Daniel Cushman, M.D., University of Utah
Publications and helpful links
The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.
General Publications
- Cowell HR, Swickard JW. Autotransfusion in children's orthopaedics. J Bone Joint Surg Am. 1974 Jul;56(5):908-12. No abstract available.
- Cregan P, Donegan E, Gotelli G. Hemolytic transfusion reaction following transfusion of frozen and washed autologous red cells. Transfusion. 1991 Feb;31(2):172-5. doi: 10.1046/j.1537-2995.1991.31291142950.x.
- Domen RE. Adverse reactions associated with autologous blood transfusion: evaluation and incidence at a large academic hospital. Transfusion. 1998 Mar;38(3):296-300. doi: 10.1046/j.1537-2995.1998.38398222875.x.
- Higgins JM, Mahadevan L. Physiological and pathological population dynamics of circulating human red blood cells. Proc Natl Acad Sci U S A. 2010 Nov 23;107(47):20587-92. doi: 10.1073/pnas.1012747107. Epub 2010 Nov 8.
- Kumar S, Goyal K, Dube SK, Dubey S, Bindra A, Kedia S. Anaphylactic reaction after autologous blood transfusion: A case report and review of the literature. Asian J Neurosurg. 2015 Apr-Jun;10(2):145-7. doi: 10.4103/1793-5482.154983. Erratum In: Asian J Neurosurg. 2018 Jul-Sep;13(3):957. Dubey S [corrected to Dube SK].
- Morkeberg J, Belhage B, Ashenden M, Borno A, Sharpe K, Dziegiel MH, Damsgaard R. Screening for autologous blood transfusions. Int J Sports Med. 2009 Apr;30(4):285-92. doi: 10.1055/s-0028-1105938. Epub 2009 Feb 6.
- Popovsky MA, Whitaker B, Arnold NL. Severe outcomes of allogeneic and autologous blood donation: frequency and characterization. Transfusion. 1995 Sep;35(9):734-7. doi: 10.1046/j.1537-2995.1995.35996029156.x.
- Pottgiesser T, Sottas PE, Echteler T, Robinson N, Umhau M, Schumacher YO. Detection of autologous blood doping with adaptively evaluated biomarkers of doping: a longitudinal blinded study. Transfusion. 2011 Aug;51(8):1707-15. doi: 10.1111/j.1537-2995.2011.03076.x. Epub 2011 Mar 7.
- Solymos E, Guddat S, Geyer H, Flenker U, Thomas A, Segura J, Ventura R, Platen P, Schulte-Mattler M, Thevis M, Schanzer W. Rapid determination of urinary di(2-ethylhexyl) phthalate metabolites based on liquid chromatography/tandem mass spectrometry as a marker for blood transfusion in sports drug testing. Anal Bioanal Chem. 2011 Aug;401(2):517-28. doi: 10.1007/s00216-010-4589-4. Epub 2010 Dec 25.
- Weatherall DJ. Systems biology and red cells. N Engl J Med. 2011 Jan 27;364(4):376-7. doi: 10.1056/NEJMcibr1012683. No abstract available.
- Basson, M. Red blood cells by the numbers. Nature Medicine 16, 1 (2010).
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start
February 1, 2016
Primary Completion (Actual)
May 5, 2018
Study Completion (Actual)
May 5, 2018
Study Registration Dates
First Submitted
January 27, 2016
First Submitted That Met QC Criteria
February 11, 2016
First Posted (Estimate)
February 18, 2016
Study Record Updates
Last Update Posted (Actual)
May 14, 2018
Last Update Submitted That Met QC Criteria
May 7, 2018
Last Verified
May 1, 2018
More Information
Terms related to this study
Other Study ID Numbers
- 83533
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
NO
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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