Related Experiment Video
Updated: Feb 12, 2026

Murine Model of Leukemia Relapse to Induction Chemotherapy for Acute Lymphoblastic Leukemia
Published on: October 17, 2025
The role of thromboelastography in predicting hemorrhage risk in patients with leukemia
Hang-Xing Bao1, Jing Du, Bing-Yu Chen
1Zhejiang Provincial Hospital of TCM, First Clinical Medical College of Zhejiang Chinese Medical University Department of Transfusion Medicine Department of Laboratory Medicine, Zhejiang Provincial People's Hospital of Hangzhou Medical College, Hangzhou, China.
This study aimed to compare the efficacy of thromboelastography (TEG) and conventional coagulation methods in predicting hemorrhage risk in patients with leukemia.A total of 226 patients diagnosed with leukemia were included and divided into bleeding and nonbleeding groups. All patients had their blood samples taken for TEG test to measure the reaction time (R time), alpha (α angle), and maximum amplitude (MA) as well as measure platelet count (PLT), prothrombin time, and activated partial thromboplastin time. Patients were followed up for bleeding episodes.The multivariate analysis showed that PLT [odds ratio (OR) = 0.993] and MA (OR = 0.921) have better association with bleeding risk. Receiver operating characteristic (ROC) analysis showed that the combination of PLT and MA (AUC = 0.824) was better for hemorrhage risk prediction than PLT [area under the curve (AUC) = 0.730] and MA (AUC = 0.819) alone.The combination of TEG and conventional coagulation methods could help in assessing the risk of hemorrhage in patients with leukemia.
This study aimed to compare the efficacy of thromboelastography (TEG) and conventional coagulation methods in predicting hemorrhage risk in patients with leukemia.A total of 226 patients diagnosed with leukemia were included and divided into bleeding and nonbleeding groups. All patients had their blood samples taken for TEG test to measure the reaction time (R time), alpha (α angle), and maximum amplitude (MA) as well as measure platelet count (PLT), prothrombin time, and activated partial thromboplastin time. Patients were followed up for bleeding episodes.The multivariate analysis showed that PLT [odds ratio (OR) = 0.993] and MA (OR = 0.921) have better association with bleeding risk. Receiver operating characteristic (ROC) analysis showed that the combination of PLT and MA (AUC = 0.824) was better for hemorrhage risk prediction than PLT [area under the curve (AUC) = 0.730] and MA (AUC = 0.819) alone.The combination of TEG and conventional coagulation methods could help in assessing the risk of hemorrhage in patients with leukemia.
More Related Videos
Related Concept Videos
Predicting Molecular Geometry
Relative Risk
Prediction Intervals
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
Factors Affecting the Risk of Infection
The integrity and count of the white blood cells help the body resist pathogens and fight infection. When impaired, it reduces the body's resistance to pathogens. The acidic pH levels of the gastrointestinal, genitourinary tracts, and skin...
Sensitivity, Specificity, and Predicted Value
Sensitivity is the...
End Point Prediction: Gran Plot
For potentiometric titration, the Gran plot is created by plotting...

