Literature DB >> 30938256

Predicting therapeutic response in IgG4-related disease based on cluster analysis.

Motohisa Yamamoto1, Ken-Ichi Takano2, Ryuta Kamekura3, Chisako Suzuki1, Tetsuya Tabeya4, Rieko Murakami5, Saho Honda5, Masaya Mukai6, Masanori Nojima7, Shingo Ichimiya3, Tetsuo Himi2, Hiroshi Nakase8, Hiroki Takahashi1.   

Abstract

To bring the clinical practice of immunoglobulin (Ig)G4-related disease (IgG4-RD) close to personalized medicine, we classified the patient groups and clarified the therapeutic responses of each group. A total of 147 patients enrolled in our registry were classified into four groups by cluster analysis with the software. The therapeutic responses and prognosis of each group were examined. The cluster analysis classified the subjects into four groups: Cluster 1, patients who presented with prominent hypergammaglobulinemia, elevated levels of serum IgG4, and hypocomplementemia; Cluster 2, patients who presented with eosinophilia, elevated concentrations of serum IgG, IgG4, and IgE, and in whom CRP tended to be positive; Cluster 3, patients with younger onset and serum levels of IgG, IgG4, and IgE and peripheral eosinophil counts lower than the other clusters; and Cluster 4, patients with elder onset and low peripheral eosinophil counts. The amounts of glucocorticoid for maintenance treatment were from 5 to 7 mg/d in all groups, but the amounts were significantly greater in Cluster 1 (patients with hypergammaglobulinemia, elevated levels of serum IgG4, and hypocomplementemia) than in Cluster 4 (elder onset patients, relatively low concentrations of peripheral eosinophils). With regard to the use of immunosuppressants and the relapse rate, there were high frequencies in Cluster 1 and Cluster 3 (younger onset patients who presented with mild elevations of serum IgG and IgG4). On the other hand, Cluster 4 showed a low rate of relapse and often could discontinue steroids. The present results suggest that personalized medicine could be provided in IgG4-RD by classifying patients based on their clinical features.

Entities:  

Keywords:  Autoimmune pancreatitis; IgG4-related disease; cluster analysis; personalized medicine; precision medicine

Year:  2018        PMID: 30938256     DOI: 10.1080/09114300.2018.1451613

Source DB:  PubMed          Journal:  Immunol Med        ISSN: 2578-5826


  3 in total

1.  Corticosteroid Withdrawal after Complete Resection of Recurrent IgG4-Related Ophthalmic Disease.

Authors:  Yuki Hamano; Yoshiyuki Kitaguchi; Kohji Nishida
Journal:  Neuroophthalmology       Date:  2020-03-18

2.  Cluster analysis for the identification of clinical phenotypes among antiphospholipid antibody-positive patients from the APS ACTION Registry.

Authors:  Stéphane Zuily; Isabelle Clerc-Urmès; Cédric Bauman; Danieli Andrade; Savino Sciascia; Vittorio Pengo; Maria G Tektonidou; Amaia Ugarte; Maria Gerosa; H Michael Belmont; Maria Angeles Aguirre Zamorano; Paul Fortin; Lanlan Ji; Maria Efthymiou; Hannah Cohen; D Ware Branch; Guilherme Ramires de Jesus; Cecilia Nalli; Michelle Petri; Esther Rodriguez; Ricard Cervera; Jason S Knight; Tatsuya Atsumi; Rohan Willis; Maria Laura Bertolaccini; Joann Vega; Denis Wahl; Doruk Erkan
Journal:  Lupus       Date:  2020-07-23       Impact factor: 2.911

3.  Differentiating a pachychoroid and healthy choroid using an unsupervised machine learning approach.

Authors:  Reza Mirshahi; Masood Naseripour; Ahmad Shojaei; Mohsen Heirani; Sayyed Amirpooya Alemzadeh; Farzan Moodi; Pasha Anvari; Khalil Ghasemi Falavarjani
Journal:  Sci Rep       Date:  2022-09-29       Impact factor: 4.996

  3 in total

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