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Predictive value of inflammatory and coagulation biomarkers for venous thromboembolism in COVID-19 patients
Marta Hojker1,2, Jure Tršan2,3, Uroš Tršan2
1University Medical Centre Ljubljana, Department of Orthopaedic Surgery, Ljubljana, Slovenia.
Insights
D-dimer is a valuable predictor of venous thromboembolism (VTE) in COVID-19 patients, showing strong correlation with VTE risk. Higher D-dimer cut-off values are recommended for accurate VTE prediction in this population.
Area of Science:
- Medical Research
- Hematology
- Infectious Diseases
Background:
- Conflicting data exists on the predictive value of coagulation markers for venous thromboembolism (VTE) in COVID-19 patients.
- Investigating these markers is crucial for managing COVID-19 complications.
Purpose of the Study:
- To determine the correlation between various biomarkers and VTE in hospitalized COVID-19 patients.
- To evaluate the predictive capability of D-dimer for VTE development.
Main Methods:
- Collected complete blood count, inflammatory, and coagulation biomarkers at admission.
- Defined VTE as diagnosed pulmonary embolism or deep vein thrombosis.
- Utilized Pearson prediction models and ROC curve analysis to assess D-dimer's predictive value.
Main Results:
- 1651 participants were analyzed, with 111 cases of VTE identified.
- Neutrophil-lymphocyte ratio and D-dimer levels were significantly associated with VTE.
- D-dimer demonstrated strong predictive value for VTE (ROC area 0.85) with an optimal cut-off of 2677μg/L.
Conclusions:
- D-dimer exhibits the highest predictive value for VTE among coagulation biomarkers in COVID-19 patients.
- Recommended higher D-dimer cut-off values for improved VTE prediction in COVID-19 cases.
Background:
The predictive value of coagulation markers for venous thromboembolism (VTE) in COVID-19 patients has been investigated with conflicting results.
Objective:
Our aim was to investigate the correlation between biomarkers and VTE and the predictive value of D-dimer for VTE in hospitalized COVID-19 patients.
Methods:
Complete blood count, inflammatory and coagulation biomarkers at admission were collected. VTE was defined as diagnosed pulmonary embolism or deep vein thrombosis. Events were defined as in-hospital death or ICU admission. Predictors of VTE were identified with Pearson prediction models. A ROC curve was constructed to assess the predictive value of D-dimer.
Results:
1651 participants were included, 111 VTE were identified. Events incidence was higher in the VTE group (49.5% vs 28.2%, p < 0.001). Neutrophil-lymphocyte ratio (NLR, 0.001; 95% CI 0.000-0.002; p 0.019) and D-dimer (0.00005; 95% CI 0.00002-0.00008; p < 0.001), Geneva score (0.026; 95% CI 0.012-0.040; p < 0.001) and Wells score (0.047; 95% CI 0.033-0.061; p < 0.001) were associated with VTE. D-dimer had a goor predictive value for VTE (ROC area 0.85, 95% CI 0.816-0.893), with an optimal cut-off value of 2677μg/L (Youden index of 0,602).
Conclusions:
Among coagulation biomarkers D-dimer had the best predictive value for VTE, but higher cut-off values should be used in COVID-19.
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