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Título : | The 2017 IUIS Phenotypic Classification for Primary Immunodeficiencies |
Autor : | Bousfiha, Aziz Jeddane, Leïla Picard, Capucine Ailal, Fatima Gaspar, H. Bobby Franco Restrepo, José Luis |
metadata.dc.subject.*: | Síndromes de Inmunodeficiencia Immunologic Deficiency Syndromes Clasificación Classification Phenotypic Inborn errors of immunity Unión Internacional de las Sociedades Inmunológicas (IUIS) Fenotípica |
Fecha de publicación : | 2017 |
Editorial : | Springer |
Citación : | Bousfiha A, Jeddane L, Picard C, Ailal F, Bobby Gaspar H, Al-Herz W, Chatila T, Crow YJ, Cunningham-Rundles C, Etzioni A, Franco JL, Holland SM, Klein C, Morio T, Ochs HD, Oksenhendler E, Puck J, Tang MLK, Tangye SG, Torgerson TR, Casanova JL, Sullivan KE. The 2017 IUIS Phenotypic Classification for Primary Immunodeficiencies. J Clin Immunol. 2018 Jan;38(1):129-143. doi: 10.1007/s10875-017-0465-8. |
Resumen : | ABSTRACT: Since the 1990s, the International Union of Immunological Societies (IUIS) PID expert committee (EC), now called Inborn Errors of Immunity Committee, has published every other year a classification of the inborn errors of immunity. This complete catalog serves as a reference for immunologists and researchers worldwide. However, it was unadapted for clinicians at the bedside. For those, the IUIS PID EC is now publishing a phenotypical classification since 2013, which proved to be more user-friendly. There are now 320 single-gene inborn errors of immunity underlying phenotypes as diverse as infection, malignancy, allergy, auto-immunity, and auto-inflammation. We herein propose the revised 2017 phenotypic classification, based on the accompanying 2017 IUIS Inborn Errors of Immunity Committee classification. |
metadata.dc.identifier.eissn: | 1573-2592 |
ISSN : | 0271-9142 |
metadata.dc.identifier.doi: | 10.1007/s10875-017-0465-8 |
Aparece en las colecciones: | Artículos de Revista en Ciencias Médicas |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
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FrancoJose_2018_PhenotypicClassification.pdf | Artículo de investigación | 1.32 MB | Adobe PDF | Visualizar/Abrir |
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