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Clinical and pathological predictors of relapse in IgG4-related disease

Authors :
Ji Zongfei
Chen Lingli
Sun Ying
Ma Lingying
Zhang Lijuan
Liu Dongmei
Dai Xiaomin
Hou Yingyong
Chen Huiyong
Ma Lili
Jiang Lindi
Source :
Arthritis Research & Therapy, Vol 24, Iss 1, Pp 1-8 (2022)
Publication Year :
2022
Publisher :
BMC, 2022.

Abstract

Abstract 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.

Details

Language :
English
ISSN :
14786362
Volume :
24
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Arthritis Research & Therapy
Publication Type :
Academic Journal
Accession number :
edsdoj.70918b9f9cb0449b88414cce6761489b
Document Type :
article
Full Text :
https://doi.org/10.1186/s13075-022-02792-z