CClinicalTrials.gg
CompletedNCT02140216Updated Sep 8, 2021

Immunomodulation Effect of Blood Transfusion

An observational study in Incompatible Blood Transfusion, Immune Defect and Surgery, sponsored by Mahidol University. Completed at 1 site in Thailand. Open to participants aged 18 Years to 75 Years. Per ClinicalTrials.gov, last updated 2021-09-08.

Sponsored by Mahidol University · Observational

Study type
Observational
Model
Cohort
Time perspective
Prospective
Enrollment
60
Ages
18 Years to 75 Years
Sex
All
01

Study summary

An increasing number of publications have demonstrated that homologous (allogeneic) blood transfusion impairs outcome in cancer and non-cancer patients. Leukocyte depletion of blood products cannot solve these problems, despite improved quality of red cells; a recent study demonstrated deteriorated outcome of cancer patients with elective colon surgery and transfusion of leukocyte depleted allogeneic blood.

Read the detailed description

All patients undergo the identical anesthesiological procedure, including premedication, general anesthesia with endotracheal intubation, monitoring and postoperative pain therapy and mobilization.Surgery is performed by the identical team performing a standardized technique.

Transfusion regimen The 'trigger' for homologous red cell transfusion intra- and postoperatively is the actual hematocrit concentration. Transfusion depends on discretion of the treating physicians. Number of units transfused, amount of blood loss, time, reasoning and decision maker are recorded.

Blood samples Within the kind of surgical procedures chosen for this study the chance of red cell transfusion is about 60 - 70%. In terms of figures 10 non-transfused cases could be gained within 40 cases in total. However, transfusion or non-transfusion does not happen in a row. We expect the total number of patients with blood withdrawal to be between 50 and 60. Additionally withdrawn samples currently not used for analysis will stored for further studies.

The purpose to include non-transfused otherwise fully comparable patients is to distinguish between trauma (operation) and transfusion and their influence on immune modulation. Within the studies about blood transfusion and immune modulation only some few made this differentiation. In patients with colorectal cancer surgery randomized groups with autologous predonation and patients with allogeneic transfusion only have been compared. However, within the latter (allogeneic) group of 27 patients only 13 had to be transfused, thus creating a non-transfusion group of 14 patients. These 14 non-transfused patients remained within the study being compared with autologous and allogeneic transfused patients. Operative trauma and allogeneic transfusion both increased the secretion of several cytokines including tumor necrosis factor (TNF) alpha and Interleukin-10; this effect was less pronounced in patients with autologous- and without any transfusion. Another group studied forty three orthopedic patients with total knee- or hip-arthroplasty, initially to compare autologous to allogeneic red cell transfusion. They had to change their protocol due to the small number of allogeneic transfusions (8 of 43). Including perioperatively transfused patients only (n = 37) they found an increase in immune regulatory cytokine Interleukin (IL)-10 after red cell transfusion, which was most pronounced 7 days after surgery, whereas there was only a mild increase in non- or autologous transfused patients. Unfortunately they did not differentiate between autologous-and non-transfused patients. Thus their data could not reveal the effect of surgery itself on the analyzed parameters.

02

Conditions studied

  • Incompatible Blood Transfusion
  • Immune Defect
  • Surgery

Keywords

  • Blood transfusion
  • Immune
  • Surgery
03

In context

Lead sponsor

Mahidol University is the lead sponsor of 730 studies on the registry; 118 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years to 75 Years
Sexes eligible
All
Accepts healthy volunteers
No
Sampling method
Non-probability sample

Study population

Patients undergoing elective spine surgery/

Inclusion criteria

  • Patients undergoing elective spine surgery
  • American Society of Anesthesiologist Risk score classification (ASA) I-III
  • Hemoglobin > 9 gm/dL

Exclusion criteria

Exclusion Criteria:

  • Patients who have the concomitant condition; cancer, history of heart disease including, heart failure, coronary artery disease, hypertension treated with more than one medicament, serum creatinine > 1.5 mg/dL., stroke, neurologic and mental deficits, epilepsy, general or local infection (site of surgery), coagulation disorders, rheumatoid arthritis.
  • Patients who have one of the following drugs; aspirin, methotrexate, cyclosporin, qualaquin
05

Study design

Observational model
Cohort
Time perspective
Prospective
Enrollment
60 participants (actual)
Patient registry
No
Biospecimen retention
Samples without dna

Groups and cohorts

  • Day 0 blood transfusion

    Patients undergoing elective spine surgery receiving intra- or immediate-postoperative red cell blood transfusion.

    Biological: Day 0 blood transfusion

  • Day 1 or 2 blood transfusion

    Patients undergoing elective spine surgery receiving first red cell blood transfusion on day 1 or 2 after surgery.

    Biological: Day 1 or 2 blood transfusion

  • No blood transfusion

    Patients undergoing elective spine surgery receiving no blood transfusion.

    Biological: No blood transfusion

Interventions

  • BiologicalNo blood transfusion

    No blood transfusion

  • BiologicalDay 0 blood transfusion

    Patients undergoing elective spine surgery receiving intra- or immediate-postoperative red cell blood transfusion.

  • BiologicalDay 1 or 2 blood transfusion

    Patients undergoing elective spine surgery receiving first red cell blood transfusion on day 1 or 2 after surgery.

06

What researchers measure

Primary outcomes

  1. Macrophage inflammatory protein 1 alpha (MIP-1a)

    Blood sample on preoperative, postoperative day 1, 3, 5

    Time frame: 5 days

  2. macrophage inflammatoryprotein 1 beta (MIP-1b)

    Blood sample on preoperative, postoperative day 1, 3, 5

    Time frame: 5 days

  3. platelet-derived growth factor-BB

    Blood sample on preoperative, postoperative day 1, 3, 5

    Time frame: 5 days

  4. RANTES

    Blood sample on preoperative, postoperative day 1, 3, 5

    Time frame: 5 days

  5. tumour TNF alpha

    Blood sample on preoperative, postoperative day 1, 3, 5

    Time frame: 5 days

  6. VEGF

    Blood sample on preoperative, postoperative day 1, 3, 5

    Time frame: 5 days

  7. Ferritin

    Blood sample on preoperative, postoperative day 1, 3, 5

    Time frame: 5 days

  8. Fibrinogen

    Blood sample on preoperative, postoperative day 1, 3, 5

    Time frame: 5 days

  9. procalcitonin

    Blood sample on preoperative, postoperative day 1, 3, 5

    Time frame: 5 days

  10. interleukin

    Blood sample on preoperative, postoperative day 1, 3, 5

    Time frame: 5 days

  11. basic fibroblast growth factor (B-FGF)

    Blood sample on preoperative, postoperative day 1, 3, 5

    Time frame: 5 days

  12. eotaxin (monocyte chemotactic proteins)

    Blood sample on preoperative, postoperative day 1, 3, 5

    Time frame: 5 days

  13. G-CSF

    Blood sample on preoperative, postoperative day 1, 3, 5

    Time frame: 5 days

  14. GM-CSF

    Blood sample on preoperative, postoperative day 1, 3, 5

    Time frame: 5 days

  15. IFN-alpha

    Blood sample on preoperative, postoperative day 1, 3, 5

    Time frame: 5 days

  16. IP-10

    Blood sample on preoperative, postoperative day 1, 3, 5

    Time frame: 5 days

  17. MCP-1

    Blood sample on preoperative, postoperative day 1, 3, 5

    Time frame: 5 days

  18. MCAF

    Blood sample on preoperative, postoperative day 1, 3, 5

    Time frame: 5 days

  19. serum amyloid A

    Blood sample on preoperative, postoperative day 1, 3, 5

    Time frame: 5 days

  20. tissue plasminogen activator

    Blood sample on preoperative, postoperative day 1, 3, 5

    Time frame: 5 days

  21. Postoperative non-surgical complications

    Infection, thrombosis, pulmonary affection

    Time frame: 30 days

Secondary outcomes

  1. CD2 Cellular immunologic parameter (non-radioisotope),

    Blood sample on preoperative, postoperative day 1, 3, 5

    Time frame: 5 days

  2. CD3 Cellular immunologic parameter (non-radioisotope),

    Blood sample on preoperative, postoperative day 1, 3, 5

    Time frame: 5 days

  3. CD4 Cellular immunologic parameter (non-radioisotope),

    Blood sample on preoperative, postoperative day 1, 3, 5

    Time frame: 5 days

  4. CD 8 Cellular immunologic parameter (non-radioisotope),

    preoperative, postoperative day 1, 3, 5

    Time frame: 5 days

  5. CD 8 Cellular immunologic parameter (non-radioisotope),

    Blood sample on preoperative, postoperative day 1, 3, 5

    Time frame: 5 days

  6. CD 25 Cellular immunologic parameter (non-radioisotope),

    Blood sample on preoperative, postoperative day 1, 3, 5

    Time frame: 5 days

  7. CD 30 Cellular immunologic parameter (non-radioisotope),

    Blood sample on preoperative, postoperative day 1, 3, 5

    Time frame: 5 days

  8. CD 19 Cellular immunologic parameter (non-radioisotope),

    Blood sample on preoperative, postoperative day 1, 3, 5

    Time frame: 5 days

  9. CD 20 Cellular immunologic parameter (non-radioisotope),

    Blood sample on preoperative, postoperative day 1, 3, 5

    Time frame: 5 days

  10. CD 138 Cellular immunologic parameter (non-radioisotope),

    Blood sample on preoperative, postoperative day 1, 3, 5

    Time frame: 5 days

  11. CD 56 Cellular immunologic parameter (non-radioisotope),

    Blood sample on preoperative, postoperative day 1, 3, 5

    Time frame: 5 days

  12. CD 303 Cellular immunologic parameter (non-radioisotope),

    Blood sample on preoperative, postoperative day 1, 3, 5

    Time frame: 5 days

  13. CLT cytotoxicity (non-radioisotope),

    Blood sample on preoperative, postoperative day 1, 3, 5

    Time frame: 5 days

  14. CD 304

    Blood sample on preoperative, postoperative day 1, 3, 5

    Time frame: 5 days

  15. NK cytotoxicity

    Blood sample on preoperative, postoperative day 1, 3, 5

    Time frame: 5 days

07

Study locations

1 site
  • Faculty of Medicine Siriraj Hospital, Mahidol University
    Bangkok, 10700, Thailand
08

References and documents

Publications

  • Marik PE, Corwin HL. Efficacy of red blood cell transfusion in the critically ill: a systematic review of the literature. Crit Care Med. 2008 Sep;36(9):2667-74. doi: 10.1097/CCM.0b013e3181844677. Erratum In: Crit Care Med. 2008 Nov;36(11):3134. PubMed 18679112 ↗
  • von Bormann B, Wirtz S, Weiler J, von Bormann C, Trobisch H. [Quality of whole blood as a result of storage and preparation (inline-leukocyte depletion). Evidence for autologous predeposit]. Anasthesiol Intensivmed Notfallmed Schmerzther. 2000 May;35(5):326-32. doi: 10.1055/s-2000-323. German. PubMed 10858843 ↗
  • Ghio M, Contini P, Negrini S, Mazzei C, Zocchi MR, Poggi A. Down regulation of human natural killer cell-mediated cytolysis induced by blood transfusion: role of transforming growth factor-beta(1), soluble Fas ligand, and soluble Class I human leukocyte antigen. Transfusion. 2011 Jul;51(7):1567-73. doi: 10.1111/j.1537-2995.2010.03000.x. Epub 2011 Jan 7. PubMed 21214580 ↗
  • Leal-Noval SR, Munoz-Gomez M, Arellano V, Adsuar A, Jimenez-Sanchez M, Corcia Y, Leal M. Influence of red blood cell transfusion on CD4+ T-helper cells immune response in patients undergoing cardiac surgery. J Surg Res. 2010 Nov;164(1):43-9. doi: 10.1016/j.jss.2009.03.010. Epub 2009 Apr 18. PubMed 19592026 ↗
  • Heiss MM, Fasol-Merten K, Allgayer H, Strohlein MA, Tarabichi A, Wallner S, Eissner HI, Jauch KW, Schildberg FW. Influence of autologous blood transfusion on natural killer and lymphokine-activated killer cell activities in cancer surgery. Vox Sang. 1997;73(4):237-45. doi: 10.1046/j.1423-0410.1997.7340237.x. PubMed 9407641 ↗
  • Suksompong S, Tassaneetrithep B, Ariyawatkul T, Sirivanasandha B, Wilartratsami S, Wongsa A, von Bormann B. Allogeneic red cell transfusion and its influence on relevant humoral and cellular immunological parameters: A prospective observational trial. Eur J Anaesthesiol. 2019 Nov;36(11):814-824. doi: 10.1097/EJA.0000000000001027. PubMed 31157653 ↗
09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Sep 8, 2021, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT02140216
Lead sponsor
Mahidol University
Collaborators
Wolf Schleinzer Stiftung zur Wissenschafts- und Bildungsförderung, Germany
Responsible party
Benno von Bormann (Professor, Mahidol University) — Principal investigator
First posted
May 16, 2014
Start date
May 2014
Primary completion
Jun 18, 2017
Completion
Apr 10, 2018
Last update
Sep 8, 2021

Study contacts

Sirilak Suksompong, MD
study director · Mahidol University

Oversight

Data monitoring committee
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is completed, as verified in Aug 2021. You cannot join it, but the record below documents what was studied.

Follow this study

Get an email when the registry record changes — status, dates, results — or when someone posts here.

Sign in to follow

Discussion

Questions and observations about this study, from anyone following it. Not medical advice, and not a channel to the study team — their contact details are on the registry record.

Sign in to join the discussion. Reading takes no account; posting does. You choose a display name, and a pseudonym is the default.

Nothing here yet. If you are running this trial, taking part in it, or weighing whether to, this is the place to say so.

Start the discussion