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Prognostic Assessment of Sodium Iodide Oral Solution in the Treatment of Hyperthyroidism

Author(s): Yihang Li, Gaohong Zhu, Yaqin Yang and Hongmin Liang*
Department of Radiology, 1Department of Nuclear Medicine, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan Province 650051, China

Correspondence Address:
Hongmin Liang, Department of Radiology, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan Province 650051, China, E-mail:

In order to understand the risk factors for prognostic assessment of sodium iodide oral solution in the treatment of hyperthyroidism, we attempted to predict the prognosis by creating nomogram and help clinicians choose more appropriate drug dosages. We retrospectively collected 607 cases who were hospitalized for hyperthyroidism from 2016-2022 and finally included in the study, and collected 25 clinical and personal related indicators to correlate the prognosis of the patients, and followed up the patients at least 1 y after treatment. We further divided patients into training cohort and validation cohort. A nomogram model was developed in the training set to predict the sodium iodide oral solution to hyperthyroidism. Univariate analysis and logistic regression were applied to select the important factors. Receiver operating characteristic curves, calibration curves and the Hosmer-Lemeshow test evaluate the discriminative performance. Five clinical indicators including thyroid weight, technetium-99 uptake, complications, free thyroxine, and anti-thyroid peroxidase were screened to establish a prognostic model for the prognostic relevance of sodium iodide oral solution in hyperthyroid patients, which had an area under the curve >0.7. Calibration plots demonstrated good agreement between predictions of the nomogram and the actual observed values in both the training and validation cohorts. We developed a prognostic model using the nomogram as an indicator to predict the prognosis of patients, which can be used as a reference for clinicians when formulating drug dosages and prognostic assessment.

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Citations : 66710

Indian Journal of Pharmaceutical Sciences received 66710 citations as per google scholar report