Univ. Lille, ULR 7365 – GRITA - Groupe de Recherche sur les formes Injectables et les Technologies Associées, F-59000 Lille, France; Corresponding author.
AS. Ducloy-Bouthors
Univ. Lille, ULR 7365 – GRITA - Groupe de Recherche sur les formes Injectables et les Technologies Associées, F-59000 Lille, France; CHU Lille, Pôle anesthésie-réanimation, maternité Jeanne de Flandre, F-59000 Lille, France
B. Hennart
CHU Lille, Unité fonctionnelle de toxicologie, centre biologie pathologie, F-59000 Lille, France
F. Loingeville
Univ. Lille, CHU Lille, EA 2694 - Santé publique: épidémiologie et qualité des soins, F-59000 Lille, France
M. Jeanne
Univ. Lille, ULR 7365 – GRITA - Groupe de Recherche sur les formes Injectables et les Technologies Associées, F-59000 Lille, France; CHU Lille, Centre des Brûlés, F-59000 Lille, France
G. Lebuffe
Univ. Lille, ULR 7365 – GRITA - Groupe de Recherche sur les formes Injectables et les Technologies Associées, F-59000 Lille, France; CHU Lille, Pôle anesthésie-réanimation, hôpital Huriez, F-59000 Lille, France
P. Odou
Univ. Lille, ULR 7365 – GRITA - Groupe de Recherche sur les formes Injectables et les Technologies Associées, F-59000 Lille, France
The dataset displays the pharmacokinetics data obtained from the TRACES pilot study. The nine patients included were undergoing haemorrhagic caesarean section (blood loss > 800 mL) and receiving a single i.v dose of tranexamic acid (0.5, 1 or 2 g over 1 min).The dataset gathers the tranexamic acid blood and urinary concentrations. With these first elements, a pharmacokinetic compartment model was built as described in Gilliot et al. and the individual pharmacokinetic parameters were estimated. In parallel, the patients anthropometric, biological, and clinical characteristics were collected. The correlation between the patient data and the estimated individual pharmacokinetic parameters were tested.The correlation tests revealed that the dose, the height, the body weight, and the ideal bodyweight had and impact on the volume of distribution of tranexamic acid. According to these results, these latter covariates were explored using a multi-regression analysis in Gilliot et al.