2022 · THROMBOSIS AND HAEMOSTASIS

Adjusting D-dimer to Lung Disease Extent to Exclude Pulmonary Embolism in COVID-19 Patients (Co-LEAD)

Planquette, Benjamin, Khider, Lina, Le Berre, Alice, Soudet, Simon, Pernod, Gilles, Le Mao, Raphael, Besutti, Matthieu, Gendron, Nicolas, Yanoutsos, Alexandra, Smadja, David M., Goudot, Guillaume, Al Kahf, Salma, Mohamedi, Nassim, Al Hamoud, Antoine, Philippe, Aurelien, Fournier, Laure, Rance, Bastien, Diehl, Jean-Luc, Mirault, Tristan, Messas, Emmanuel, Emmerich, Joseph, Chocron, Richard, Couturaud, Francis, Ferretti, Gilbert, Sevestre, Marie Antoinette, Meneveau, Nicolas, Chatellier, Gilles, Sanchez, Olivier

Journal
THROMBOSIS AND HAEMOSTASIS
Année
2022
Volume
122
Numéro
11
Pages
1888-1898
Mois
NOV
DOI
10.1055/a-1768-4371

Abstract

Objective D-dimer measurement is a safe tool to exclude pulmonary embolism (PE), but its specificity decreases in coronavirus disease 2019 (COVID-19) patients. Our aim was to derive a new algorithm with a specific D-dimer threshold for COVID-19 patients. Methods We conducted a French multicenter, retrospective cohort study among 774 COVID-19 patients with suspected PE. D-dimer threshold adjusted to extent of lung damage found on computed tomography (CT) was derived in a patient set (n = 337), and its safety assessed in an independent validation set (n = 337). Results According to receiver operating characteristic curves, in the derivation set, D-dimer safely excluded PE, with one false negative, when using a 900 ng/mL threshold when lung damage extent was <50% and 1,700 ng/mL when lung damage extent was >= 50%. In the derivation set, the algorithm sensitivity was 98.2% (95% confidence interval [CIJ: 94.7-100.0) and its specificity 28.4% (95% CI: 24.1-32.3). The negative likelihood ratio (NLR) was 0.06 (95% CI: 0.01-0.44) and the area under the curve (AUC) was 0.63 (95% CI: 0.60-0.67). In the validation set, sensitivity and specificity were 96.7% (95% CI: 88.7-99.6) and 39.2% (95% CI: 32.2-46.1), respectively. The NLR was 0.08 (95% CI; 0.02-0.33), and the AUC did not differ from that of the derivation set (0.68, 95% CI: 0.64-0.72, p = 0.097). Using the Co-LEAD algorithm, 76 among 250 (30.4%) COVID-19 patients with suspected PE could have been managed without CT pulmonary angiography (CTPA) and 88 patients would have required two CTs. Conclusion The Co-LEAD algorithm could safely exclude PE, and could reduce the use of CTPA in COVID-19 patients. Further prospective studies need to validate this strategy.

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