Haemostatic differences between SARS-CoV-2 PCR-positive and negative patients at the time of hospital admission

Prognostic value of an automated thrombin generation assay in COVID-19 patients entering hospital: A multicentric, prospective observational study

INTRODUCTION

The prognostic significance of the thrombin generation assay (TGA) with a thrombomodulin (TM) challenge in patients entering hospital with severe COVID-19 is uncertain.

METHODS

We prospectively evaluated an automated TGA (aTGA) using the ST-ThromboScreen® assay and ST-Genesia® analyser in 179 patients with severe COVID-19 during their admission to 2 university hospitals. The primary outcome was early survival at Day 28 (D28). Secondary outcomes were late survival at Day 90 (D90), later transfer to an intensive care unit (ICU), and occurrence of any thrombotic complications during hospitalisation.

RESULTS

Among the 174 patients, 50 were initially admitted to ICUs. Forty-two were transferred to ICUs before D28. Fourteen patients, all in ICUs, died before D28, and 20 before D90, all but 1 in ICUs. None of the aTGA-derived results were associated with vital status either at D28 or D90. Nine patients had a thrombotic event with no association with the aTGA results. Later transfer to the ICU was associated with higher velocity index, thrombin peak height and endogenous thrombin potential (ETP) values of the aTGA performed with TM, and mainly with a lower TM-induced decrease in ETP (odds ratio 15.5 (2.15-132), p = 0.009).

CONCLUSIONS

aTGA, a global assay supposed to evidence coagulopathy, could predict neither early or late survival, nor thrombotic events, in hospitalised COVID-19 patients. Its clinical justification in that setting is thus unlikely. A relative resistance of the ETP to TM was associated with later transfer to the ICU and deserves further investigation.

Sex-dependent balance between thrombin and plasmin generation in the presence of thrombomodulin

BACKGROUND

Assessing simultaneous generation of thrombin (TG) and plasmin (PG) is an approach to evaluate the balance between coagulation and fibrinolysis with sensitivity to predict endogenous thrombin and plasmin generation. The addition of thrombomodulin (TM), provides the essential component for thrombin activation of protein C and thrombin-activatable fibrinolysis inhibitor. However, the influence of sex on the balance between TG and PG with and without TM addition has not been investigated to date.

OBJECTIVES

To investigate the possible sex-based differences in TG and PG in the presence and absence of TM.

METHODS

Simultaneous TG and PG were measured in plasma samples obtained from 17 males and 17 females upon tissue factor and tissue plasminogen activator addition. Thrombin- and plasmin-specific fluorogenic substrates Z-Gly-Gly-Arg-AMC and Boc-Glu-Lys-Lys-AMC were used in the study. Thrombin and plasmin peak height (TPH and PPH) and production rate (TPR and PPR) values were determined. To evaluate the balance between TG and PG, the ratios between TPH and PPH (TPH/PPH) and TPR and PPR (TPR/PPR) were calculated.

RESULTS AND CONCLUSIONS

TPH between males and females demonstrated significant difference regardless of TM addition. TPR demonstrated differences between males and females only upon TM addition, while PG parameters was not dependent on the sex of the donor. TM significantly lowered TPH/PPH in males, and enhanced TPR/PPR in females. Thus, TPH/PPH and TPR/PPR significantly differed between men and women. Our results indicate that TM may act differently in males and females by shifting the underlying TG/PG balance to fibrinolysis in males and to coagulation in females.

Coagulation parameters predict COVID-19-related thrombosis in a neural network with a positive predictive value of 98%

Thrombosis is a major clinical complication of COVID-19 infection. COVID-19 patients show changes in coagulation factors that indicate an important role for the coagulation system in the pathogenesis of COVID-19. However, the multifactorial nature of thrombosis complicates the prediction of thrombotic events based on a single hemostatic variable. We developed and validated a neural net for the prediction of COVID-19-related thrombosis. The neural net was developed based on the hemostatic and general (laboratory) variables of 149 confirmed COVID-19 patients from two cohorts: at the time of hospital admission (cohort 1 including 133 patients) and at ICU admission (cohort 2 including 16 patients). Twenty-six patients suffered from thrombosis during their hospital stay: 19 patients in cohort 1 and 7 patients in cohort 2. The neural net predicts COVID-19 related thrombosis based on C-reactive protein (relative importance 14%), sex (10%), thrombin generation (TG) time-to-tail (10%), α₂-Macroglobulin (9%), TG curve width (9%), thrombin-α₂-Macroglobulin complexes (9%), plasmin generation lag time (8%), serum IgM (8%), TG lag time (7%), TG time-to-peak (7%), thrombin-antithrombin complexes (5%), and age (5%). This neural net can predict COVID-19-thrombosis at the time of hospital admission with a positive predictive value of 98%-100%.