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Updated: Jan 8, 2026

Leveraging Turbidity and Thromboelastography for Complementary Clot Characterization
Published on: June 4, 2020
Exploring the interchangeable roles of fibrinogen and FIBTEM in patients with sepsis
Hanh-Duyen Bui-Thi1, Tuan-Anh Nguyen2, Khoa Nguyen-Dang3
1Department of Intensive Care, University Medical Center Ho Chi Minh City, University of Medicine and Pharmacy at Ho Chi Minh City, Ho Chi Minh City, Vietnam.
Background:
FIBTEM, a rotational thromboelastometry (ROTEM) component, assesses fibrin-based clot firmness and indirectly measures fibrinogen function. It offers faster turnaround time compared to the Clauss method for fibrinogen quantification, which may support early coagulation assessment in critically ill patients with sepsis.
Objectives:
Our study aims to evaluate the correlation between FIBTEM parameters and fibrinogen levels and predict the possibility of hyperfibrinogenemia using FIBTEM parameters in patients with sepsis.
Design:
A retrospective secondary analysis of a prospective observational study.
Methods:
Patients diagnosed with sepsis were recruited and admitted to the University Medical Center Ho Chi Minh City intensive care unit from June 2020 to December 2021. The international normalized ratio, activated partial thromboplastin time, platelet counts, fibrinogen levels, and FIBTEM parameters (A5, A10, A20, and maximum clot firmness (MCF)) were assessed for each patient. The correlations among laboratory parameters were assessed using the Pearson's correlation coefficient. Predicted values of fibrinogen and FIBTEM were analyzed using simple linear regression, Bland-Altman plots, and Lin's concordance correlation coefficient (CCC). The area under the receiver operating characteristic curve (AUC) and Kappa coefficients were calculated.
Results:
The median age of 159 patients with sepsis was 69. Males represented 51.6% of the participants. The percentage of patients with comorbidities was 88.1%. The mean plasma fibrinogen level was 5.4 ± 1.8 g/L. Fibrinogen levels were strongly correlated with FIBTEM parameters (p < 0.01 for all values), including A5 (r = 0.701), A10 (r = 0.717), A20 (r = 0.723), and MCF (r = 0.735). MCF could not predict exact fibrinogen levels (CCC = 0.703). The AUC of the MCF to predict hyperfibrinogenemia was 0.905 (95% CI: 0.866-0.945), with a sensitivity of 85.5%, a specificity of 83.1%, and a Kappa coefficient of 0.69 at the optimal cut-off value of 22.5 mm.
Conclusion:
FIBTEM MCF could be a practical, rapid, surrogate tool for detecting hyperfibrinogenemia in sepsis and may help guide early clinical decisions before fibrinogen test results are available, although further validation in larger studies is required.
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