Application of thromboelastography to predict the severity of bleeding after chimeric antigen receptor (CAR)‐T cell therapy in patients with hematological malignancy

Author:

Chen Liu12ORCID,Ding Shuyi12,Cheng Yin12,Zhou Linghui2345,Yan Jiali12,Cheng Qiong12,Jin Aiyun1,Zhou Xiaoyu12,Huang He2345,Hu Yongxian2345

Affiliation:

1. Department of Nursing, The First Affiliated Hospital Zhejiang University School of Medicine Hangzhou China

2. Department of Hematology, Bone Marrow Transplantation Center, The First Affiliated Hospital, School of Medicine Zhejiang University Hangzhou China

3. Institute of Hematology Zhejiang University Hangzhou China

4. Liangzhu Laboratory Zhejiang University Medical Center Hangzhou China

5. Zhejiang Province Engineering Laboratory for Stem Cell and Immunity Therapy Hangzhou China

Abstract

AbstractObjectivesWe aim to analyze the predictive value of thromboelastography on bleeding severity of patients with chimeric antigen receptor (CAR)‐T cell therapy.MethodsA total of 80 patients with refractory/relapsed hematological malignancy were enrolled and divided into two groups: the severe bleeding group and the non‐severe bleeding group. The thromboelastography data was collected on the day of CAR‐T infusion and the 3rd, 7th, 10th, 13th, 17th, and 20th day after CAR‐T cell infusion.ResultsThe patients of the severe bleeding group had lower platelet (p < .007), maximum amplitude (p = .002), coagulation index (p = .005), and longer coagulation time (p = .019). Increasing trend in reaction time and coagulation time and decreasing trend in Alpha, maximum amplitude, and coagulation index on Days 0–10, opposite on Days 10–20. Univariate logistic regression analysis and multivariable logistic regression analysis showed maximum amplitude on the 3rd day after CAR‐T cell infusion (MA3) (OR = 0.9; 95% CI = 0.84–0.95; p < .001) and cytokine release syndrome grade (OR = 2.57; 95% CI = 1.35–5.32; p = .006) were significantly associated with high bleeding severity.ConclusionsThromboelastography was considered to be a good predictor of bleeding severity.

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Hematology,General Medicine

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