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Project properties
Title | Prediction model for identifying ISM patients within the HVA population |
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Keywords | mastocytosis hymenoptera venom allergy |
Researchers |
J.N.G. Oude Elberink M.C. Onnes |
Nature of the research | Database research |
Fields of study | allergology |
Background / introduction |
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Wasp venom allergy (WVA) is a potentially life threatening condition. A group of patients with WVA suffer from an underlying condition called mastocytosis. In these patients reactions are generally more severe, and unfortunately their response to treatment is lower and non-durable, meaning treatment should be continued lifelong. Therefore, identification of these patients within the WVA population is essential. Hence, we perform bone marrow biopsies to confirm or exclude mastocytosis. |
Research question / problem definition |
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As bone marrow biopsies are painful procedures for patients, we aim to reduce the number of biopsies by developing a prediction model for mastocytosis in the WVA population based on clinical and biochemical characteristics. |
Workplan |
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To develop this model, characteristics of mastocytosis and non-mastocytosis patients should be inventoried and assessed. We are looking for a medical bachelor student who wants to do a TTT-project or Pilot Project. You will assist in data extraction from patient files and databases. After extraction you will perform statistical analyses under the supervision of a PhD candidate and write your own report. If you are interested participation in other research projects is also possible, as is extension of the project into a scientific clerkship or MD/PhD programme. |
References |
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Golden DBK. Insect Sting Anaphylaxis. Immunol Allergy Clin N Am 2007:27;261-272. Zanotti R, Lombardo C, Passalacqua G et al. Clonal mast cell disorders in patients with severe Hymenoptera venom allergy and normal serum tryptase levels. J Allergy Clin Immunol 2015:136(1);135-9. Vos BJPR, Van Anrooij B, van Doormaal JJ et al. Fatal Anaphylaxis to Yellow Jacket Stings in Mastocytosis: Options for Identification and Treatment of At-Risk Patients, JACI Pract 2017:5(5);1264-1271. |