Thymoglobulin is widely applied as serotherapy in order to prevent acute graft-versus-host disease (GvHD) and graft rejection in patients undergoing non-Human Leukocyte Antigen (HLA)-identical hematopoietic stem cell transplantations (HSCT), with a delicate balance between prevention of GvHD and the promotion of immune reconstitution. Thymoglobulin is known as a drug with high pharmacokinetic (PK) variability. This variability influences drug exposure, which in turn determines the drug response of pharmacodynamics (PD). In order to maintain efficacy while reducing adverse effects of drugs across the entire age range, identification of the PK/PD relationships and the effect of growth and maturation on the different PK and PD parameters involved are crucial. The investigators hypothesise that a better knowledge of Thymoglobulin PK and its covariates would help to individualise dosage regimen and would improve clinical outcomes, such as GvHD and immune reconstitution. The investigators aim to build a population PK model of Thymoglobulin in order to study PK variability and its covariates. This model will help in optimizing dosage regimen in an individually way.
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Area under the concentration-time curve (AUC)
Timeframe: until elimination tf the drug (maximum 3 weeks post hematopoietic stem cell transplantation)