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Genetic polymorphisms and early responses predict refractory hyperthyroidism during antithyroid drug therapy
Xinpan Wang1, Mengyi Gong1, Jiayan Wang1
1Department of Endocrinology, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China.
Abstract:
Antithyroid drugs (ATDs) are the first-line treatment for Graves' disease (GD), but variable outcomes require early risk stratification. We analyzed 578 adults, including 240 in a randomized trial of dose titration versus modified partial block-and-replace therapy and the remainder in a temporal observational cohort. Baseline characteristics, 3-month treatment indicators, and 13 GD-susceptibility single nucleotide polymorphisms (SNPs) were evaluated. An ATD-levothyroxine dose-correction method quantified thyroid function and autoantibody changes, informing clinical and SNP risk score-integrated models. The integrated model achieved areas under the curve (AUCs) of 0.841 in development and 0.805 in temporal validation, outperforming the clinical model (p < 0.001) with good calibration and net benefit. Intermediate-risk patients derived the greatest incremental benefit. Baseline free thyroxine (FT4) was the strongest predictor, and the SNP risk score ranked fourth. No inter-regimen efficacy or safety differences were observed. Restricted cubic spline analysis suggested that ATD therapy beyond 3 years may reduce recurrence risk, whereas modified partial block-and-replace showed no advantage over dose titration.
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