Literature DB >> 34108225

Development of revised diagnostic criteria for Fuchs' uveitis syndrome in a Chinese population.

Peizeng Yang1, Wanyun Zhang2, Zhijun Chen2, Han Zhang3, Guannan Su2, Qingfeng Cao2, Ying Zhu2, Zhenyu Zhong2, Chunjiang Zhou2, Yao Wang2, Aize Kijlstra4.   

Abstract

BACKGROUND/AIMS: Fuchs' uveitis syndrome (FUS) is one of the frequently misdiagnosed uveitis entities, which is partly due to the absence of internationally recognised diagnostic criteria. This study was performed to develop and evaluate a set of revised diagnostic criteria for FUS.
METHODS: The clinical data of Chinese patients with FUS and patients with non-FUS were collected and analysed from a tertiary referral centre between April 2008 and December 2020. A total of 593 patients with FUS and 625 patients with non-FUS from northern China were enrolled for the development of diagnostic criteria for FUS. Three hundred and seventy-seven patients with FUS and 503 patients with non-FUS from southern China were used to validate the criteria. Clinical symptoms and ocular signs were collected from all patients with FUS and patients with non-FUS. Multivariate two-step cluster analysis, logistic regression and decision tree algorithms in combination with the clinical judgement of uveitis experts were used to revise diagnostic criteria for FUS.
RESULTS: Three essential findings including diffuse iris depigmentation, absence of posterior synechiae, mild inflammation in the anterior chamber at presentation and five associated findings including mostly unilateral involvement, cataract, vitreous opacities, absence of acute symptoms and characteristic iris nodules were used in the development of FUS diagnostic criteria. All essential findings were required for the diagnosis of FUS, and the diagnosis was further strengthened by the presence of associated findings.
CONCLUSION: Revised diagnostic criteria for FUS were developed and validated by analysing data from Chinese patients and showed a high sensitivity (96.55%) and specificity (97.42%). © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  anterior chamber; diagnostic tests/investigation; imaging; iris

Year:  2021        PMID: 34108225     DOI: 10.1136/bjophthalmol-2021-319343

Source DB:  PubMed          Journal:  Br J Ophthalmol        ISSN: 0007-1161            Impact factor:   4.638


  5 in total

1.  Contrast Sensitivity Deficits and Its Structural Correlates in Fuchs Uveitis Syndrome.

Authors:  Fang-Yue Zhou; Yi-Sha Li; Xingneng Guo; Xiutong Shi; Ke Wu; Jing-Wei Zheng; Xia-Xin Li; Jiaqing Wu; Ruru Liu; Ma-Li Dai; Xiu-Feng Huang; Fang Hou; Dan Lin; Yu-Qin Wang
Journal:  Front Med (Lausanne)       Date:  2022-05-19

2.  Cytokine Changes in the Aqueous Humor in Rubella-Related Fuchs Heterochromic Iridocyclitis.

Authors:  Yi Mao; Sijie Lin; Chengfang Zhu; Xiaodong Liu; Huping Wu; Shangkun Ou
Journal:  Dis Markers       Date:  2022-02-07       Impact factor: 3.434

3.  Aqueous Humor Analysis in Overlapping Clinical Diagnosis of Cytomegalovirus and Rubella Virus Anterior Uveitis.

Authors:  Fabrizio Gozzi; Lucia Belloni; Raffaella Aldigeri; Pietro Gentile; Valentina Mastrofilippo; Luca De Simone; Elena Bolletta; Federica Alessandrello; Martina Bonacini; Stefania Croci; Alessandro Zerbini; Gian Maria Cavallini; Carlo Salvarani; Luca Cimino
Journal:  Medicina (Kaunas)       Date:  2022-08-04       Impact factor: 2.948

4.  Factors associated with low prevalence of Fuchs' uveitis syndrome in Japan.

Authors:  Yu Yoneda; Yoshihiko Usui; Rie Tanaka; Keitaro Hase; Kenichi Namba; Koju Kamoi; Hiroshi Takase; Masaki Takeuchi; Wataru Matsumiya; Sentaro Kusuhara; Atsunobu Takeda; Nobuyo Yawata; Ryoji Yanai; Tomona Hiyama; Yosuke Harada; Noriyasu Hashida; Kazuichi Maruyama; Kei Nakai; Ryo Taguchi; Toshikatsu Kaburaki; Nobuhisa Mizuki; Hiroshi Goto; Yujiro Fujino; Masaru Takeuchi
Journal:  Front Med (Lausanne)       Date:  2022-09-30

5.  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

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.