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Predicting the probability of Gaucher disease in subjects with splenomegaly and thrombocytopenia
Hematologists are frequently involved in the diagnostic pathway of Gaucher disease type 1 (GD1) patients since they present several hematological signs. However, GD1 is mainly underdiagnosed because of a lack of awareness. In this multicenter study, we combine the use of a diagnostic algorithm with...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7843616/ https://www.ncbi.nlm.nih.gov/pubmed/33510429 http://dx.doi.org/10.1038/s41598-021-82296-z |
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author | Motta, Irene Consonni, Dario Stroppiano, Marina Benedetto, Christian Cassinerio, Elena Tappino, Barbara Ranalli, Paola Borin, Lorenza Facchini, Luca Patriarca, Andrea Barcellini, Wilma Lanza, Federica Filocamo, Mirella Cappellini, Maria Domenica |
author_facet | Motta, Irene Consonni, Dario Stroppiano, Marina Benedetto, Christian Cassinerio, Elena Tappino, Barbara Ranalli, Paola Borin, Lorenza Facchini, Luca Patriarca, Andrea Barcellini, Wilma Lanza, Federica Filocamo, Mirella Cappellini, Maria Domenica |
author_sort | Motta, Irene |
collection | PubMed |
description | Hematologists are frequently involved in the diagnostic pathway of Gaucher disease type 1 (GD1) patients since they present several hematological signs. However, GD1 is mainly underdiagnosed because of a lack of awareness. In this multicenter study, we combine the use of a diagnostic algorithm with a simple test (β-glucosidase activity on Dried Blood Spot) in order to facilitate the diagnosis in a population presenting to the hematologist with splenomegaly and/or thrombocytopenia associated with other hematological signs. In this high-risk population, the prevalence of GD1 is 3.3%. We propose an equation that predicts the probability of having GD1 according to three parameters that are routinely evaluated: platelet count, ferritin, and transferrin saturation. |
format | Online Article Text |
id | pubmed-7843616 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-78436162021-01-29 Predicting the probability of Gaucher disease in subjects with splenomegaly and thrombocytopenia Motta, Irene Consonni, Dario Stroppiano, Marina Benedetto, Christian Cassinerio, Elena Tappino, Barbara Ranalli, Paola Borin, Lorenza Facchini, Luca Patriarca, Andrea Barcellini, Wilma Lanza, Federica Filocamo, Mirella Cappellini, Maria Domenica Sci Rep Article Hematologists are frequently involved in the diagnostic pathway of Gaucher disease type 1 (GD1) patients since they present several hematological signs. However, GD1 is mainly underdiagnosed because of a lack of awareness. In this multicenter study, we combine the use of a diagnostic algorithm with a simple test (β-glucosidase activity on Dried Blood Spot) in order to facilitate the diagnosis in a population presenting to the hematologist with splenomegaly and/or thrombocytopenia associated with other hematological signs. In this high-risk population, the prevalence of GD1 is 3.3%. We propose an equation that predicts the probability of having GD1 according to three parameters that are routinely evaluated: platelet count, ferritin, and transferrin saturation. Nature Publishing Group UK 2021-01-28 /pmc/articles/PMC7843616/ /pubmed/33510429 http://dx.doi.org/10.1038/s41598-021-82296-z Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Motta, Irene Consonni, Dario Stroppiano, Marina Benedetto, Christian Cassinerio, Elena Tappino, Barbara Ranalli, Paola Borin, Lorenza Facchini, Luca Patriarca, Andrea Barcellini, Wilma Lanza, Federica Filocamo, Mirella Cappellini, Maria Domenica Predicting the probability of Gaucher disease in subjects with splenomegaly and thrombocytopenia |
title | Predicting the probability of Gaucher disease in subjects with splenomegaly and thrombocytopenia |
title_full | Predicting the probability of Gaucher disease in subjects with splenomegaly and thrombocytopenia |
title_fullStr | Predicting the probability of Gaucher disease in subjects with splenomegaly and thrombocytopenia |
title_full_unstemmed | Predicting the probability of Gaucher disease in subjects with splenomegaly and thrombocytopenia |
title_short | Predicting the probability of Gaucher disease in subjects with splenomegaly and thrombocytopenia |
title_sort | predicting the probability of gaucher disease in subjects with splenomegaly and thrombocytopenia |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7843616/ https://www.ncbi.nlm.nih.gov/pubmed/33510429 http://dx.doi.org/10.1038/s41598-021-82296-z |
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