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Clustering the Clinical Course of Chronic Urticaria Using a Longitudinal Database: Effects on Urticaria Remission
Author(s) -
Young-Min Ye,
JiWon Yoon,
Seong-Dae Woo,
Jae-Hyuk Jang,
Youngsoo Lee,
Hyun-Young Lee,
Yoo Seob Shin,
Dong Ho Nahm,
HaeSim Park
Publication year - 2021
Publication title -
allergy, asthma and immunology research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.356
H-Index - 45
eISSN - 2092-7363
pISSN - 2092-7355
DOI - 10.4168/aair.2021.13.3.390
Subject(s) - chronic urticaria , cluster analysis , course (navigation) , medicine , information retrieval , computer science , dermatology , artificial intelligence , engineering , aerospace engineering
Little is known about the clinical course of chronic urticaria (CU) and predictors of its prognosis. We evaluated CU patient clusters based on medication scores during the initial 3 months of treatment in an attempt to investigate time to remission and relapse rates for CU and to identify predictors for CU remission.

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