J Trauma Inj.  2023 Sep;36(3):210-216. 10.20408/jti.2023.0014.

Relationship between sonorheometry parameters and laboratory values in a critical care setting in Italy: a retrospective cohort study

Affiliations
  • 1Department of Anesthesia and Intensive Care Unit, Azienda Ospedaliero Universitaria San Giovanni di Dio Ruggi d’Aragona, Salerno, Italy
  • 2Department of Anesthesia and Intensive Care, University of Naples Federico II, Naples, Italy

Abstract

Purpose
This preliminary retrospective study analyzed the relationship between the parameters provided by sonorheometry device Quantra and the coagulation values obtained from standard venous blood samples in patients admitted in intensive care unit (ICU).
Methods
We reviewed medical charts of 13 ICU adult patients in whom at least one coagulation study with Quantra was performed. The relationship between Quantra and laboratory data was analyzed with the Spearman rank correlation coefficient (rho). The 95% confidence interval (CI) was computed. A P-value <0.05 was considered statistically significant.
Results
We collected 28 data pairs. Statistically significant moderate correlations were found for the following parameters: clot time (CT) and activated partial thromboplastin time (rho=0.516; 95% CI, 0.123–0.904; P=0.009; clot stiffness (CS) and the international normalized ratio (INR; rho=0.418; 95% CI, 0.042–0.787; P=0.039); INR and platelet contribution to CS (rho=0.459; 95% CI, 0.077–0.836; P=0.022); platelet count and platelet contribution to CS (PCS; rho=0.498; 95% CI, 0.166–0.825; P=0.008); and fibrinogen and fibrinogen contribution to CS (FCS; rho=0.620; 95% CI, 0.081–0.881; P=0.001).
Conclusions
Quantra can provide useful information regarding coagulation status, showing modest correlations with the parameters obtained from laboratory tests. During diffuse bleeding, CT and FCS values can guide the proper administration of clotting factors and fibrinogens. However, the correlation of INR with CS and PCS can cause misinterpretation. Further studies are needed to clarify the relationship between Quantra parameters and laboratory tests in the critical care setting and the role of sonorheometry in guiding targeted therapies and improving outcomes.

Keyword

Blood coagulation; Point-of-care testing; Nonparametric statistics
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