Blood Transfusion, AutologousEarly Phase 1NCT02684747
Detecting Autologous Transfusion by Measuring Alterations in the Dynamics of Red Blood Cell Maturation and Recycling
A Early Phase 1 study testing Autologous Transfusion in people with Blood Transfusion, Autologous and Blood Doping, run by University of Utah at 1 site in United States.
Trial summary
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). Read more about this study
- Who is it for?
- Ages 18 to 35 yearsHealthy volunteers can take part
- Conditions the study is for
- Blood Transfusion, Autologous, Blood Doping
- What is being tested?
- Autologous Transfusion
- Could I receive a placebo?
- Yes, some participants may receive a placebo
- How many people
- 40 participants
- Where
- 1 siteUnited States
- Study dates
- Feb 2016to 5 May 2018
- Phase
- Early Phase 1
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 to 35 years
- All sexes
- Healthy volunteers accepted
- Adult
Who may be able to join
- 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.
Who cannot join
- 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
Show all 11Show fewer
- 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
Trial locations and contacts
1 site in 1 country.
United States1 site
University of Utah Center for Clinical & Translational Science
Salt Lake City, Utah, 84132
About this study
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).
Read the 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.
- Conditions
- Blood Transfusion, Autologous, Blood Doping
- Being tested
- Autologous Transfusion, Control - Normal Saline (Placebo)
- Keywords
- Healthy Volunteers, Sports Medicine, Athletes, Anti-doping
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Autologous TransfusionOther
Participants will receive autologous transfusion on Day 21
Control - Normal Saline (Placebo)Other
Participants will receive saline on Day 21
| Study group | Role | What they receive |
|---|---|---|
| Treatment - Autologous Transfusion | Experimental | Participants will be randomized to the treatment group (autologous transfusion) Receives: Other: Autologous Transfusion |
| Control - Normal Saline (Placebo) | Placebo comparator | Participants will either be randomized to the control group (saline transfusion) Receives: Other: Control - Normal Saline (Placebo) |
What is being measured
The primary outcome is the main question the study is designed to answer.
Hematocrit
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).
Measured: 8 weeks
Hemoglobin
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).
Measured: 8 weeks
Reticulocyte count
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).
Measured: 8 weeks
Mean corpuscular volume
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).
Measured: 8 weeks
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted18 Feb 2016 (estimated)
- Study startFeb 2016
- Primary completion5 May 2018
- Study completion5 May 2018
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (11)Papers the sponsor has linked to this study.
- Other trials for Blood Transfusion, AutologousStudies of the same condition, open and under way.
- More trials run by University of UtahThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Early Phase 1
- Primary purpose
- Basic science
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- Double blind
- Who is masked
- Participant, Outcomes assessor
- Enrolment
- 40 participants (actual)
Sponsor and investigators
- Lead sponsor
- University of Utah
- Sponsor type
- University, hospital or other
- Collaborators
- Sports Medicine Research and Testing Laboratory, Partnership for Clean Competition
- Responsible party
- Principal investigator, Daniel Cushman, University of Utah
- Investigators
- Daniel Cushman, M.D., Principal investigator, University of Utah
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT02684747
- Sponsor's protocol ID
- 83533
- Status last verified
- May 2018
- First submitted
- 27 Jan 2016
- Last updated
- 14 May 2018
- Results posted
- No
- Data monitoring committee
- Yes
- Individual data sharing
- No
Publications
Cowell HR, Swickard JW. Autotransfusion in children's orthopaedics. J Bone Joint Surg Am. 1974 Jul;56(5):908-12. No abstract available.
PubMed 4847238Cregan 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.
PubMed 1996486Domen 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.
PubMed 9563411Higgins 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.
PubMed 21059904Kumar 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.
PubMed 25972952Morkeberg 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.
PubMed 19199200Popovsky 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.
PubMed 7570932Pottgiesser 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.
PubMed 21382045Solymos 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.
PubMed 21188579Weatherall DJ. Systems biology and red cells. N Engl J Med. 2011 Jan 27;364(4):376-7. doi: 10.1056/NEJMcibr1012683. No abstract available.
PubMed 21268732Basson, M. Red blood cells by the numbers. Nature Medicine 16, 1 (2010).
Study at a glance
From the registry record, last updated by the sponsor on 14 May 2018. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Detecting Autologous Transfusion by Measuring Alterations in the Dynamics of Red Blood Cell Maturation and Recycling
- ClinicalTrials.gov ID
- NCT02684747
- Acronym / sponsor ID
- 83533
- Conditions
- Blood Transfusion, Autologous, Blood Doping
- Keywords
- Healthy Volunteers, Sports Medicine, Athletes, Anti-doping
- Phase
- Early Phase 1
- Study type
- Interventional
- Recruitment status
- Completed
- Enrolment
- 40 participants (actual)
- Lead sponsor
- University of UtahUniversity, hospital or other
- Collaborators
- Sports Medicine Research and Testing Laboratory, Partnership for Clean Competition
- Study start
- Feb 2016
- Primary completion
- 5 May 2018 (actual)
- Study completion
- 5 May 2018 (actual)
- First posted
- 18 Feb 2016 (estimated)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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).
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 design
- Primary purpose
- Basic science
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- Double blind (participant, outcomes assessor)
- Number of arms
- 2
| Arm | Type | Receives |
|---|---|---|
| Treatment - Autologous Transfusion | Experimental | Other: Autologous TransfusionParticipants will be randomized to the treatment group (autologous transfusion) |
| Control - Normal Saline (Placebo) | Placebo comparator | Other: Control - Normal Saline (Placebo)Participants will either be randomized to the control group (saline transfusion) |
Who may qualify
- Ages
- 18 to 35 years
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult
Key inclusion criteria (3 listed)
- 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.
Key exclusion criteria (11 listed)
- 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)
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Autologous TransfusionParticipants will receive autologous transfusion on Day 21 | Other | Treatment - Autologous Transfusion |
| Control - Normal Saline (Placebo)Participants will receive saline on Day 21 | Other | Control - Normal Saline (Placebo) |
Primary outcome
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).
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).
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).
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).
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 14 May 2018.
- Background: PubMed 4847238Cowell HR, Swickard JW. Autotransfusion in children's orthopaedics. J Bone Joint Surg Am. 1974 Jul;56(5):908-12. No abstract available.
- Background: PubMed 1996486Cregan 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.
- Background: PubMed 9563411Domen 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.
- Background: PubMed 21059904Higgins 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.
- Background: PubMed 25972952Kumar 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.
- Background: PubMed 19199200Morkeberg 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.
- Background: PubMed 7570932Popovsky 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.
- Background: PubMed 21382045Pottgiesser 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.
- Background: PubMed 21188579Solymos 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.
- Background: PubMed 21268732Weatherall DJ. Systems biology and red cells. N Engl J Med. 2011 Jan 27;364(4):376-7. doi: 10.1056/NEJMcibr1012683. No abstract available.
- BackgroundBasson, M. Red blood cells by the numbers. Nature Medicine 16, 1 (2010).
- Individual participant dataSharing planned: No
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Daniel Cushman, M.D. principal investigator
University of Utah
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A Early Phase 1 study testing Autologous Transfusion in people with Blood Transfusion, Autologous and Blood Doping, run by University of Utah at 1 site in United States.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 3 inclusion and 11 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 14 May 2018. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in United States. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. Some participants in this study may receive a placebo. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
What does this phase mean?
Early Phase 1 (sometimes called Phase 0) studies give a very small amount of a treatment to a few people, mainly to see how the body handles it.
Not every study follows the same path, and some studies (observational studies, device studies) have no phase.
Are results available for this study?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Hematocrit (time frame: 8 weeks). The study lists 4 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT02684747, which also lists 11 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 14 May 2018.