Use of Thrombelastography as a global monitor of hemostasis

Pivalizza, Evan G.

doi:10.1111/trf.15092

Cited by 3 publications

(1 citation statement)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…17,18 Thromboelastography is a novel indicator of coagulation function that provides a more comprehensive picture of coagulation and fibrinolysis than traditional coagulation monitoring. 19,20 We still know very little about the relationship between TEG and long-term survival in critically ill patients. Therefore, we aimed to investigate whether TEG indexes might predict long-term survival in critically ill patients.…”

Section: Discussionmentioning

confidence: 99%

Thromboelastography Parameters as Predictors for Long-Term Survival in Critically Ill Patients

Luo

Zhuang

Chen

2019

Clin Appl Thromb Hemost

View full text Add to dashboard Cite

Thromboelastography (TEG) is used for monitoring abnormal blood coagulation in critically ill patients. However, the correlation between TEG parameters and long-term survival in these patients is unknown. We aimed to quantify the effect of TEG on long-term survival of critically ill patients. Critically ill patients undergoing TEG were retrospectively examined. Baseline patient characteristics and coagulation function indexes were compared. Cox regression, receiver–operating characteristic curve analysis, and Kaplan-Meier survival estimate curve were performed. We included 167 critically ill patients. Clot formation speed (K) and reaction time (R) were higher, whereas maximum amplitude (MA) and angle were lower in the mortality group than in the survival group ( P < .01). All TEG parameters were risk factors for 2-year survival in critically ill patients ( P < .01). The area under the curve of MA for predicting 2-year survival was 0.756 (95% confidence interval: 0.670-0.841). The Kaplan-Meier survival estimate curve analysis showed that MA predicted 2-year survival of critically ill patients( P < .01). Maximum amplitude can effectively predict 2-year survival of critically ill patients, indicating the influence of the coagulation system on these patients.

show abstract