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ORIGINAL RESEARCH article

Front. Immunol.
Sec. Autoimmune and Autoinflammatory Disorders : Autoimmune Disorders
Volume 15 - 2024 | doi: 10.3389/fimmu.2024.1445916
This article is part of the Research Topic Exploring autoimmune diseases and endocrine crosstalk View all articles

Predicting Thyroid Involvement in Primary Sjögren's Syndrome: Development and Validation of a Predictive Nomogram

Provisionally accepted
Yixuan Yang Yixuan Yang YANYUAN DU YANYUAN DU Zhaoyang Ren Zhaoyang Ren Qingqing Mei Qingqing Mei Mengyao Jiang Mengyao Jiang Wenjing Liu Wenjing Liu Huadong Zhang Huadong Zhang Bingnan Cui Bingnan Cui *
  • Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China

The final, formatted version of the article will be published soon.

    Introduction: Patients with Primary Sjögren's syndrome (pSS) are at a higher risk of thyroid disorders than the general population. This retrospective analysis of 202 patients with pSS was conducted to uncover risk factors associated with thyroid involvement and to create a predictive model for this condition.We analyzed 202 patients with pSS from Guang'anmen Hospital, China Academy of Chinese Medical Sciences, with 105 cases of thyroid involvement and 97 without. The Least Absolute Shrinkage and Selection Operator method was used to identify key variables for our risk model. These variables were then subjected to multivariate logistic regression to develop the model. The accuracy of the model was assessed through the C-index, receiver operating characteristic curves, calibration plots, and decision curve analysis, with internal validation via bootstrapping.Results: High-sensitivity C-reactive protein (HCRP), pulmonary disease, pharyngeal dryness, forgetfulness, night sweats, hyperuricemia, nasal dryness, anxiety, Ro52, and aspartate aminotransferase (AST) were incorporated into the nomogram. The model showed robust discrimination and calibration abilities. Decision curve analysis indicated the clinical utility of our nomogram in intervening on the probability thresholds of thyroid disease.By integrating HCRP, pulmonary disease, pharyngeal dryness, forgetfulness, night sweats, hyperuricemia, nasal dryness, anxiety, Ro52, and AST, our thyroid risk nomogram can predict the risk of thyroid involvement in patients with pSS, aiding in more informed treatment strategies.

    Keywords: Thyroid events, nomogram, predictive model, primary Sjögren's syndrome, risk

    Received: 08 Jun 2024; Accepted: 28 Oct 2024.

    Copyright: © 2024 Yang, DU, Ren, Mei, Jiang, Liu, Zhang and Cui. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Bingnan Cui, Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.