Publications by authors named "Edouard Bonneville"

Article Synopsis
  • HLA mismatching (different types of immune cells) can make it harder for patients with blood cancer to survive after getting a transplant.
  • In a study with over 17,000 patients, those with mismatched HLA types had lower survival rates, especially with certain HLA classes.
  • Using a new treatment called post-transplantation cyclophosphamide (PTCy) helps reduce some risks, but HLA mismatching still leads to higher death rates in both PTCy and traditional transplant methods.
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Investigating the evaluation of eligibility for transplant in myelofibrosis (MF): The role of HCT-CI and BMI. HCT-CI emerges as a key prognostic factor, while BMI shows limited impact. This study expands insights for better clinical decision-making in MF allo-HCT.

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Introduction: Extracranial vascular characteristics determine the accessibility of the large vessel intracranial occlusion for endovascular treatment (EVT) in acute ischemic stroke. We developed and validated a prediction model for failure of the transfemoral approach to aid clinical decision-making regarding EVT.

Methods: A prediction model was developed from data of patients included in the Dutch multicenter MR CLEAN Registry (March 18, 2014, until June 15, 2016) with penalized logistic regression.

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Alloreactive donor-derived T-cells play a pivotal role in alloimmune responses after allogeneic hematopoietic stem cell transplantation (alloSCT); both in the relapse-preventing Graft-versus-Leukemia (GvL) effect and the potentially lethal complication Graft-versus-Host-Disease (GvHD). The balance between GvL and GvHD can be shifted by removing T-cells via T-cell depletion (TCD) to reduce the risk of GvHD, and by introducing additional donor T-cells (donor lymphocyte infusions [DLI]) to boost the GvL effect. However, the association between T-cell kinetics and the occurrence of allo-immunological events has not been clearly demonstrated yet.

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Missing data are frequently encountered across studies in clinical haematology. Failure to handle these missing values in an appropriate manner can complicate the interpretation of a study's findings, as estimates presented may be biased and/or imprecise. In the present work, we first provide an overview of current methods for handling missing covariate data, along with their advantages and disadvantages.

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Article Synopsis
  • The study focuses on how to handle missing values in baseline covariates when analyzing time-to-event outcomes, specifically comparing different imputation methods: SMC-FCS and MICE.
  • Results showed that the SMC-FCS method is generally more effective than MICE for estimating cause-specific regression coefficients, especially when there are large covariate effects and significant differences in baseline hazards.
  • Both SMC-FCS and MICE perform similarly when predicting cumulative incidence functions, as demonstrated in cases involving competing outcomes after hematopoietic stem cell transplantation, leading to practical recommendations for statisticians.
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Multi-state models provide an extension of the usual survival/event-history analysis setting. In the medical domain, multi-state models give the possibility of further investigating intermediate events such as relapse and remission. In this work, a further extension is proposed using relative survival, where mortality due to population causes (i.

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Tacrolimus is the cornerstone of the therapeutic immunosuppressive strategy in liver transplantation. The inter-individual and intra-individual variability of its trough blood concentrations is a surrogated biomarker of allograft rejection. Here we described two cases of patients with liver transplant who exhibited increases of tacrolimus blood trough concentration adjusted on the dose while experiencing acute inflammatory episodes.

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