ORIGINAL RESEARCH article
Front. Endocrinol.
Sec. Thyroid Endocrinology
Volume 16 - 2025 | doi: 10.3389/fendo.2025.1581353
Impact of Serum TRAb Level Changes on the Efficacy of 131 I Therapy in Graves' Disease: A Decision Tree Prediction Model
Provisionally accepted- Tianjin Medical University General Hospital, Tianjin, China
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Objectives:This study aims to evaluate the relationship between changes in thyroid stimulating hormone receptor antibody (TRAb) levels before and after treatment and the efficacy of radioactive iodine therapy (RAI) for Graves' disease (GD). Additionally, a decision tree model was developed to predict treatment outcomes based on variations in serum TRAb levels.Methods : A total of 728 patients were evaluated to investigate the association between TRAb level fluctuations and RAI treatment efficacy. A decision tree model was constructed using TRAb levels changes at 3-and 6-months post-RAI to predict clinical outcomes.Results:Among the 728 patients, 326 (44.8%) achieved clinical remission. Patients with lower TRAb levels at 18 months post-RAI exhibited higher remission rates, particularly those whose TRAb levels returned to baseline. A greater decline in TRAb levels between 18-and 36-months post-RAI was also correlated with improved treatment outcomes. Decision tree models based on TRAb levels changes at the 3rd and the 6th
Keywords: :Graves' disease, Radioactive iodine therapy, TraB, decision tree, efficacy, Prediction model
Received: 22 Feb 2025; Accepted: 09 Jun 2025.
Copyright: © 2025 Ma, Liu, Du, WANG, Li, Hou, Meng, Tan and Zheng. 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: Wei Zheng, Tianjin Medical University General Hospital, Tianjin, China
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