M D Anderson Cancer Center
Houston, Texas, 77030, United States
NCT Number: NCT03128866
This early phase I trial studies how well tranexamic acid works in reducing the loss of blood in patients with pelvic tumors undergoing hemipelvectomy surgery. Tranexamic acid decreases blood loss by stabilizing clots and preventing clot lysis in patients undergoing surgery.
This study is active but is not currently recruiting participants.
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Interventional
Early Phase 1
Houston, Texas, 77030, United States
PRIMARY OBJECTIVES:
I. To determine if the use of tranexamic acid results in a significant reduction in intraoperative and perioperative blood loss.
SECONDARY OBJECTIVES:
I. To determine if use of tranexamic acid lowers the amount of blood products transfused in hemipelvectomy surgeries and during first postoperative week.
II. To determine if the use of tranexamic acid has an effect on laboratory (lab) measurements preoperatively through postoperative day 7.
III. To determine if use of tranexamic acid has an effect on complication, length of intensive care unit (ICU), and hospital stays.
OUTLINE: Patients are randomized to 1 of 2 arms.
ARM I (TRANEXAMIC ACID): Patients receive tranexamic acid intravenously (IV) over 15 minutes 30 minutes prior to surgery and continuously during hemipelvectomy procedure in the absence of disease progression or unacceptable toxicity.
ARM II (NO TRANEXAMIC ACID): Patients undergo standard of care hemipelvectomy in the absence of disease progression or unacceptable toxicity.
After completion of study treatment, patients are followed up at 7 days.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Undergo hemipelvectomy
Given IV
Other names: Cyclokapron, Cyklokapron, Lysteda, Tranhexamic Acid
Time frame: During first post-operative week
Intraoperative blood loss and perioperative blood loss (total of intraoperative EBL and 1 week drain) will be compared between two groups utilizing two-sample t-test or Wilcoxon rank-sum test. Log-transformation will be taken on the blood loss measurements as appropriate. Multivariable linear regression models will be used to compare two treatment groups in intraoperative and perioperative blood loss by adjusting for significant covariates. Model selection technique, including backward elimination, will be implemented.
Time frame: At the time of procedure
Two groups will be compared in each of secondary outcome measures utilizing two-sample t-test or Wilcoxon rank-sum test for continuous variables (amount of blood products transfused (during operation and during first postoperative week), lab measurements, length of intense care unit (ICU), and hospital stays) and Chi-square test or Fisher's exact test for categorical variables (complication). Modeling techniques including linear regression (amount of blood products transfused, length of ICU, hospital stays), logistic regression (complication), and mixed effects model (repeatedly measured lab data) will be utilized as appropriate.
Time frame: During first post-operative week
Two groups will be compared in each of secondary outcome measures utilizing two-sample t-test or Wilcoxon rank-sum test for continuous variables (amount of blood products transfused (during operation and during first postoperative week), lab measurements, length of ICU, and hospital stays) and Chi-square test or Fisher's exact test for categorical variables (complication). Modeling techniques including linear regression (amount of blood products transfused, length of ICU, hospital stays), logistic regression (complication), and mixed effects model (repeatedly measured lab data) will be utilized as appropriate.
Time frame: At baseline prior to administration of tranexamic acid, after completion of bone cuts, and after completion of closure
Two groups will be compared in each of secondary outcome measures utilizing two-sample t-test or Wilcoxon rank-sum test for continuous variables (amount of blood products transfused (during operation and during first postoperative week), lab measurements, length of ICU, and hospital stays) and Chi-square test or Fisher's exact test for categorical variables (complication). Modeling techniques including linear regression (amount of blood products transfused, length of ICU, hospital stays), logistic regression (complication), and mixed effects model (repeatedly measured lab data) will be utilized as appropriate.
Time frame: Baseline up to 7 days post-surgery
Two groups will be compared in each of secondary outcome measures utilizing two-sample t-test or Wilcoxon rank-sum test for continuous variables (amount of blood products transfused (during operation and during first postoperative week), lab measurements, length of ICU, and hospital stays) and Chi-square test or Fisher's exact test for categorical variables (complication). Modeling techniques including linear regression (amount of blood products transfused, length of ICU, hospital stays), logistic regression (complication), and mixed effects model (repeatedly measured lab data) will be utilized as appropriate.
Time frame: Up to 7 days post-surgery
Two groups will be compared in each of secondary outcome measures utilizing two-sample t-test or Wilcoxon rank-sum test for continuous variables (amount of blood products transfused (during operation and during first postoperative week), lab measurements, length of ICU, and hospital stays) and Chi-square test or Fisher's exact test for categorical variables (complication). Modeling techniques including linear regression (amount of blood products transfused, length of ICU, hospital stays), logistic regression (complication), and mixed effects model (repeatedly measured lab data) will be utilized as appropriate.
Time frame: Up to 7 days post-surgery
Two groups will be compared in each of secondary outcome measures utilizing two-sample t-test or Wilcoxon rank-sum test for continuous variables (amount of blood products transfused (during operation and during first postoperative week), lab measurements, length of ICU, and hospital stays) and Chi-square test or Fisher's exact test for categorical variables (complication). Modeling techniques including linear regression (amount of blood products transfused, length of ICU, hospital stays), logistic regression (complication), and mixed effects model (repeatedly measured lab data) will be utilized as appropriate.
M.D. Anderson Cancer Center
Other
Reducing Blood Loss in Hemipelvectomy Surgery With the Use Tranexamic Acid (TXA)
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