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A phenotypic approach for IUIS PID classification and diagnosis: Guidelines for clinicians at the bedside

  • Ahmed Aziz Bousfiha
  • , Leïla Jeddane
  • , Fatima Ailal
  • , Waleed Al Herz
  • , Mary Ellen Conley
  • , Charlotte Cunningham-Rundles
  • , Amos Etzioni
  • , Alain Fischer
  • , Jose Luis Franco
  • , Raif S. Geha
  • , Lennart Hammarström
  • , Shigeaki Nonoyama
  • , Hans D. Ochs
  • , Chaim M. Roifman
  • , Reinhard Seger
  • , Mimi L.K. Tang
  • , Jennifer M. Puck
  • , Helen Chapel
  • , Luigi D. Notarangelo
  • , Jean Laurent Casanova

Research output: Contribution to journalArticlepeer-review

97 Scopus citations

Abstract

The number of genetically defined Primary Immunodeficiency Diseases (PID) has increased exponentially, especially in the past decade. The biennial classification published by the IUIS PID expert committee is therefore quickly expanding, providing valuable information regarding the disease-causing genotypes, the immunological anomalies, and the associated clinical features of PIDs. These are grouped in eight, somewhat overlapping, categories of immune dysfunction. However, based on this immunological classification, the diagnosis of a specific PID from the clinician's observation of an individual clinical and/or immunological phenotype remains difficult, especially for non-PID specialists. The purpose of this work is to suggest a phenotypic classification that forms the basis for diagnostic trees, leading the physician to particular groups of PIDs, starting from clinical features and combining routine immunological investigations along the way. We present 8 colored diagnostic figures that correspond to the 8 PID groups in the IUIS Classification, including all the PIDs cited in the 2011 update of the IUIS classification and most of those reported since.

Original languageEnglish
Pages (from-to)1078-1087
Number of pages10
JournalJournal of Clinical Immunology
Volume33
Issue number6
DOIs
StatePublished - Aug 2013

Keywords

  • IUIS
  • Primary immunodeficiency
  • classification
  • diagnosis tool

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