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Clinical and pathological predictors of relapse in IgG4-related disease

OBJECTIVES: In IgG4-related disease, the relationship between pathological findings and relapse has not been well established. This study aimed to identify the clinical and pathological predictors of disease relapse in IgG4-RD. METHODS: Patients with newly diagnosed IgG4-RD (n = 71) were enrolled be...

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Autores principales: Zongfei, Ji, Lingli, Chen, Ying, Sun, Lingying, Ma, Lijuan, Zhang, Dongmei, Liu, Xiaomin, Dai, Yingyong, Hou, Huiyong, Chen, Lili, Ma, Lindi, Jiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9092827/
https://www.ncbi.nlm.nih.gov/pubmed/35546243
http://dx.doi.org/10.1186/s13075-022-02792-z
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author Zongfei, Ji
Lingli, Chen
Ying, Sun
Lingying, Ma
Lijuan, Zhang
Dongmei, Liu
Xiaomin, Dai
Yingyong, Hou
Huiyong, Chen
Lili, Ma
Lindi, Jiang
author_facet Zongfei, Ji
Lingli, Chen
Ying, Sun
Lingying, Ma
Lijuan, Zhang
Dongmei, Liu
Xiaomin, Dai
Yingyong, Hou
Huiyong, Chen
Lili, Ma
Lindi, Jiang
author_sort Zongfei, Ji
collection PubMed
description OBJECTIVES: In IgG4-related disease, the relationship between pathological findings and relapse has not been well established. This study aimed to identify the clinical and pathological predictors of disease relapse in IgG4-RD. METHODS: Patients with newly diagnosed IgG4-RD (n = 71) were enrolled between January 2011 and April 2020; all cases were pathologically confirmed. The clinical and pathological features were recorded in a database at baseline and each follow-up visit. Patients were followed up at least once a month via outpatient clinic examinations and telephone calls. Univariate and multivariate Cox regression analyses and receiver operating curve (ROC) analysis were used to identify the predictors of disease relapse and to assess their predictive value. RESULTS: Over a median follow-up of 26 (range, 6–123) months, 3/71 (4.2%) patients died. Of the remaining 68 patients, 47 (69.1%) patients had achieved clinical remission and 21 (30.9%) had suffered relapse at the last follow-up. The independent predictors of relapse were IgG4 ≥ 6.5 g/L (HR = 2.84, 95% CI: 1.11–7.23), IgG ≥ 20.8 g/L (HR = 4.11, 95% CI: 1.53–11.06), IgG4-RD responder index (RI) ≥ 9 (HR = 3.82, 95% CI: 1.28–11.37), and severe IgG4(+) plasma cell infiltration (HR = 6.32, 95% CI: 1.79–22.41). A prognostic score developed using three of the identified predictors (IgG ≥ 20.8 g/L, IgG4-RD RI ≥ 9, and severe IgG4(+) plasma cell infiltration) showed good value for predicting impending relapse (AUC, 0.806). CONCLUSIONS: In patients with IgG4-RD, IgG4 ≥ 6.5 g/L, IgG ≥ 20.8 g/L, IgG4-RD responder index (RI) ≥ 9, and severe IgG4(+) plasma cell infiltration are predictors of relapse. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13075-022-02792-z.
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spelling pubmed-90928272022-05-12 Clinical and pathological predictors of relapse in IgG4-related disease Zongfei, Ji Lingli, Chen Ying, Sun Lingying, Ma Lijuan, Zhang Dongmei, Liu Xiaomin, Dai Yingyong, Hou Huiyong, Chen Lili, Ma Lindi, Jiang Arthritis Res Ther Research Article OBJECTIVES: In IgG4-related disease, the relationship between pathological findings and relapse has not been well established. This study aimed to identify the clinical and pathological predictors of disease relapse in IgG4-RD. METHODS: Patients with newly diagnosed IgG4-RD (n = 71) were enrolled between January 2011 and April 2020; all cases were pathologically confirmed. The clinical and pathological features were recorded in a database at baseline and each follow-up visit. Patients were followed up at least once a month via outpatient clinic examinations and telephone calls. Univariate and multivariate Cox regression analyses and receiver operating curve (ROC) analysis were used to identify the predictors of disease relapse and to assess their predictive value. RESULTS: Over a median follow-up of 26 (range, 6–123) months, 3/71 (4.2%) patients died. Of the remaining 68 patients, 47 (69.1%) patients had achieved clinical remission and 21 (30.9%) had suffered relapse at the last follow-up. The independent predictors of relapse were IgG4 ≥ 6.5 g/L (HR = 2.84, 95% CI: 1.11–7.23), IgG ≥ 20.8 g/L (HR = 4.11, 95% CI: 1.53–11.06), IgG4-RD responder index (RI) ≥ 9 (HR = 3.82, 95% CI: 1.28–11.37), and severe IgG4(+) plasma cell infiltration (HR = 6.32, 95% CI: 1.79–22.41). A prognostic score developed using three of the identified predictors (IgG ≥ 20.8 g/L, IgG4-RD RI ≥ 9, and severe IgG4(+) plasma cell infiltration) showed good value for predicting impending relapse (AUC, 0.806). CONCLUSIONS: In patients with IgG4-RD, IgG4 ≥ 6.5 g/L, IgG ≥ 20.8 g/L, IgG4-RD responder index (RI) ≥ 9, and severe IgG4(+) plasma cell infiltration are predictors of relapse. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13075-022-02792-z. BioMed Central 2022-05-11 2022 /pmc/articles/PMC9092827/ /pubmed/35546243 http://dx.doi.org/10.1186/s13075-022-02792-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Zongfei, Ji
Lingli, Chen
Ying, Sun
Lingying, Ma
Lijuan, Zhang
Dongmei, Liu
Xiaomin, Dai
Yingyong, Hou
Huiyong, Chen
Lili, Ma
Lindi, Jiang
Clinical and pathological predictors of relapse in IgG4-related disease
title Clinical and pathological predictors of relapse in IgG4-related disease
title_full Clinical and pathological predictors of relapse in IgG4-related disease
title_fullStr Clinical and pathological predictors of relapse in IgG4-related disease
title_full_unstemmed Clinical and pathological predictors of relapse in IgG4-related disease
title_short Clinical and pathological predictors of relapse in IgG4-related disease
title_sort clinical and pathological predictors of relapse in igg4-related disease
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9092827/
https://www.ncbi.nlm.nih.gov/pubmed/35546243
http://dx.doi.org/10.1186/s13075-022-02792-z
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