Development and Initial Validation of the Macrophage Activation Syndrome/Primary Hemophagocytic Lymphohistiocytosis Score, a Diagnostic Tool that Differentiates Primary Hemophagocytic Lymphohistiocytosis from Macrophage Activation Syndrome

Francesca Minoia, Francesca Bovis, Sergio Davì, Antonella Insalaco, Kai Lehmberg, Susan Shenoi, Sheila Weitzman, Graciela Espada, Yi Jin Gao, Jordi Anton, Toshiyuki Kitoh, Ozgur Kasapcopur, Helga Sanner, Rosa Merino, Itziar Astigarraga, Maria Alessio, Michael Jeng, Vyacheslav Chasnyk, Kim E. Nichols, Zeng HuasongCaifeng Li, Concetta Micalizzi, Nicolino Ruperto, Alberto Martini, Randy Q. Cron, Angelo Ravelli, Anna Carin Horne, Mario Abinun, Amita Aggarwal, Jonathan Akikusa, Sulaiman Al-Mayouf, Maria Alessio, Jordi Anton, Maria Teresa Apaz, Itziar Astigarraga, Tadej Avcin, Nuray Aktay Ayaz, Patrizia Barone, Bianca Bica, Isabel Bolt, Fabrizia Corona, Sergio Davì, Antonella Insalaco, Loredana Lepore, Silvia Magni-Manzoni, Alberto Martini, Concetta Micalizzi, Francesca Minoia, Angelo Ravelli, Nicolino Ruperto, Pediatric Rheumatology International Trials Organization, the Childhood Arthritis and Rheumatology Research Alliance, the Pediatric Rheumatology Collaborative Study Group, and the Histiocyte Society

Research output: Contribution to journalArticlepeer-review

Abstract

Objective To develop and validate a diagnostic score that assists in discriminating primary hemophagocytic lymphohistiocytosis (pHLH) from macrophage activation syndrome (MAS) related to systemic juvenile idiopathic arthritis. Study design The clinical, laboratory, and histopathologic features of 362 patients with MAS and 258 patients with pHLH were collected in a multinational collaborative study. Eighty percent of the population was assessed to develop the score and the remaining 20% constituted the validation sample. Variables that entered the best fitted model of logistic regression were assigned a score, based on their statistical weight. The MAS/HLH (MH) score was made up with the individual scores of selected variables. The cutoff in the MH score that discriminated pHLH from MAS best was calculated by means of receiver operating characteristic curve analysis. Score performance was examined in both developmental and validation samples. Results Six variables composed the MH score: age at onset, neutrophil count, fibrinogen, splenomegaly, platelet count, and hemoglobin. The MH score ranged from 0 to 123, and its median value was 97 (1st-3rd quartile 75-123) and 12 (1st-3rd quartile 11-34) in pHLH and MAS, respectively. The probability of a diagnosis of pHLH ranged from <1% for a score of <11 to >99% for a score of ≥123. A cutoff value of ≥60 revealed the best performance in discriminating pHLH from MAS. Conclusion The MH score is a powerful tool that may aid practitioners to identify patients who are more likely to have pHLH and, thus, could be prioritized for functional and genetic testing.

Original languageEnglish
Pages (from-to)72-78.e3
JournalJournal of Pediatrics
Volume189
DOIs
Publication statusPublished - Oct 1 2017

Keywords

  • diagnostic score
  • hemophagocytic syndrome
  • macrophage activation syndrome
  • primary hemophagocytic lymphohistiocytosis

ASJC Scopus subject areas

  • Pediatrics, Perinatology, and Child Health

Fingerprint

Dive into the research topics of 'Development and Initial Validation of the Macrophage Activation Syndrome/Primary Hemophagocytic Lymphohistiocytosis Score, a Diagnostic Tool that Differentiates Primary Hemophagocytic Lymphohistiocytosis from Macrophage Activation Syndrome'. Together they form a unique fingerprint.

Cite this