Yanying Liu1, Jiangnan Fu2, Xiaoran Ning3, Huijuan Li4, Xiangbo Ma4, Kunkun Wang5, Wenjie Bian2, Yuxin Zhang2, Guangyan Yu6, Zhanguo Li7. 1. Department of Rheumatology and Immunology, Peking University People's Hospital, Beijing, 100044, China. liuyanying20030801@msn.com. 2. Department of Rheumatology and Immunology, Peking University People's Hospital, Beijing, 100044, China. 3. Department of Rheumatology and Immunology, People's Hospital of Hebei Province, Shijiazhuang, 050051, China. 4. Department of Rheumatology and Immunology, Handan First Hospital, Handan, 056002, China. 5. Department of Rheumatology and Immunology, Tengzhou Central People's Hospital, Tengzhou, 277500, Shandong, China. 6. Department of Oral and Maxillofacial Surgery, Peking University School of Stomatology, Beijing, 100081, China. gyyu@263.net. 7. Department of Rheumatology and Immunology, Peking University People's Hospital, Beijing, 100044, China. zhanguolipph@163.com.
Abstract
INTRODUCTION: The aim of this work was to evaluate the prevalence of malignancies in a multicenter cohort of Chinese patients with immunoglobulin G4-related disease (IgG4-RD) and to identify the related risk factors of malignancy in IgG4-RD patients. METHODS: We retrospectively analyzed 602 IgG4-RD patients who were recruited in five medical centers from 2009 to 2020. Standardized prevalence ratios (SPRs) against the general Chinese population were calculated along with 95% confidence intervals (CIs). We identified the risk factors of malignancy in IgG4-RD and calculated the odds ratios (ORs) of different factors. We then developed and validated a prediction model for malignancy risk of IgG4-RD based on our cohort. RESULTS: We observed a significantly increased prevalence of total malignancies in this cohort compared to the general Chinese population (SPR 8.66 [95% CI 5.84, 12.31]). Logistic regression analysis indicated that eosinophil percentage (OR 1.096 [95% CI 1.019-1.179], P = 0.016), serum albumin-to-globulin ratio (AGR) (OR 0.185 [95% CI 0.061-0.567], P = 0.002) and autoimmune pancreatitis (OR 2.400 [95% CI 1.038-5.549], P = 0.041) were three potential risk factors of malignancy in IgG4-RD patients. Four predictors were included in our final prediction model: age at IgG4-RD diagnosis, eosinophil percentage, AGR and autoimmune pancreatitis. The nomogram performed well in the internal validation cohort, with a concordance index (C-index) of 0.738. CONCLUSIONS: A significantly increased prevalence of total malignancies was observed in our multicenter cohort. Eosinophil percentage and autoimmune pancreatitis are risk factors, whereas AGR is negatively associated with malignancy in IgG4-RD. A prediction model for malignancy risk of IgG4-RD was first developed and validated in our study.
INTRODUCTION: The aim of this work was to evaluate the prevalence of malignancies in a multicenter cohort of Chinese patients with immunoglobulin G4-related disease (IgG4-RD) and to identify the related risk factors of malignancy in IgG4-RD patients. METHODS: We retrospectively analyzed 602 IgG4-RD patients who were recruited in five medical centers from 2009 to 2020. Standardized prevalence ratios (SPRs) against the general Chinese population were calculated along with 95% confidence intervals (CIs). We identified the risk factors of malignancy in IgG4-RD and calculated the odds ratios (ORs) of different factors. We then developed and validated a prediction model for malignancy risk of IgG4-RD based on our cohort. RESULTS: We observed a significantly increased prevalence of total malignancies in this cohort compared to the general Chinese population (SPR 8.66 [95% CI 5.84, 12.31]). Logistic regression analysis indicated that eosinophil percentage (OR 1.096 [95% CI 1.019-1.179], P = 0.016), serum albumin-to-globulin ratio (AGR) (OR 0.185 [95% CI 0.061-0.567], P = 0.002) and autoimmune pancreatitis (OR 2.400 [95% CI 1.038-5.549], P = 0.041) were three potential risk factors of malignancy in IgG4-RD patients. Four predictors were included in our final prediction model: age at IgG4-RD diagnosis, eosinophil percentage, AGR and autoimmune pancreatitis. The nomogram performed well in the internal validation cohort, with a concordance index (C-index) of 0.738. CONCLUSIONS: A significantly increased prevalence of total malignancies was observed in our multicenter cohort. Eosinophil percentage and autoimmune pancreatitis are risk factors, whereas AGR is negatively associated with malignancy in IgG4-RD. A prediction model for malignancy risk of IgG4-RD was first developed and validated in our study.
Authors: Vikram Deshpande; Yoh Zen; John Kc Chan; Eunhee E Yi; Yasuharu Sato; Tadashi Yoshino; Günter Klöppel; J Godfrey Heathcote; Arezou Khosroshahi; Judith A Ferry; Rob C Aalberse; Donald B Bloch; William R Brugge; Adrian C Bateman; Mollie N Carruthers; Suresh T Chari; Wah Cheuk; Lynn D Cornell; Carlos Fernandez-Del Castillo; David G Forcione; Daniel L Hamilos; Terumi Kamisawa; Satomi Kasashima; Shigeyuki Kawa; Mitsuhiro Kawano; Gregory Y Lauwers; Yasufumi Masaki; Yasuni Nakanuma; Kenji Notohara; Kazuichi Okazaki; Ji Kon Ryu; Takako Saeki; Dushyant V Sahani; Thomas C Smyrk; James R Stone; Masayuki Takahira; George J Webster; Motohisa Yamamoto; Giuseppe Zamboni; Hisanori Umehara; John H Stone Journal: Mod Pathol Date: 2012-05-18 Impact factor: 7.842