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Nicole M. A. Blijlevens

Researcher at Radboud University Nijmegen

Publications -  263
Citations -  7065

Nicole M. A. Blijlevens is an academic researcher from Radboud University Nijmegen. The author has contributed to research in topics: Medicine & Transplantation. The author has an hindex of 42, co-authored 216 publications receiving 5709 citations. Previous affiliations of Nicole M. A. Blijlevens include Radboud University Nijmegen Medical Centre.

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Clinical Relevance of the Pharmacokinetic Interactions of Azole Antifungal Drugs with Other Coadministered Agents

TL;DR: An overview of all published drug-drug interactions in humans (either healthy volunteers or patients) is provided, and on the basis of these findings, recommendations for managing the specific interactions are developed.
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Early stop polymorphism in human DECTIN-1 is associated with increased candida colonization in hematopoietic stem cell transplant recipients.

TL;DR: The finding that DECTIN-1 polymorphisms rendered HSCT recipients at increased risk for fungal complications may contribute to the selection of high-risk patients who should be considered for antifungal prophylaxis to prevent systemic candidiasis.
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Mucosal barrier injury: biology, pathology, clinical counterparts and consequences of intensive treatment for haematological malignancy: an overview.

TL;DR: The pathobiology, clinical counterparts and the means of measuring MBI are discussed together with potential approaches for prevention, amelioration and, perhaps, even cure.
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Emerging evidence on the pathobiology of mucositis

TL;DR: The ultimate goal of mucositis researchers is to identify the most appropriate targets for therapeutic interventions and to be able to predict toxicity risk and personalize interventions to genetically suitable patients.
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Risk assessment and prognostic factors for mould-related diseases in immunocompromised patients

TL;DR: Environmental factors and parameters related to impairment of the immune system that are thought to favour the onset of invasive mould infections are analyzed and prognostic factors that help to predict the eventual outcome of these infections are identified.