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已发表论文
基于限制三次样条模型探讨甲状腺功能状态与血清尿酸水平的关系：一项横断面研究
Authors Qu P, Yang S , Guo Y, Jing T, Zhang W, Li Y
Received 4 June 2025
Accepted for publication 5 September 2025
Published 23 September 2025 Volume 2025:18 Pages 3199—3208
DOI https://doi.org/10.2147/RMHP.S536398
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 2
Editor who approved publication: Professor Kyriakos Souliotis
Pengxia Qu,1,* Shuang Yang,2,* Yaowen Guo,1 Tiantao Jing,1 Wan Zhang,1 Yuanbin Li1,3
1Department of Endocrinology, Taiyuan City Central Hospital, Taiyuan, Shanxi Province, People’s Republic of China; 2Department of Medicine, Fuyang Institute of Technology, Fuyang, Anhui Province, People’s Republic of China; 3Department of Endocrinology, Southern University of Science and Technology Hospital, Shenzhen, Guangdong Province, People’s Republic of China
*These authors contributed equally to this work
Correspondence: Yuanbin Li, Southern University of Science and Technology Hospital, No. 6019, Liuxian Avenue, Xili Street, Nanshan District, Shenzhen, 518000, People’s Republic of China, Email liyuanbin1@163.com
Purpose: To date, no comprehensive studies have examined the relationship between various thyroid function statuses and thyroid hormone levels with uric acid levels. This study aims to analyze the correlation between thyroid disease and hyperuricemia.
Patients and Methods: Data from individuals undergoing health screenings in the Taiyuan area were collected. The data were categorized by thyroid disease type, thyroid function indices (FT4, FT3, and TSH), and serum uric acid (SUA) levels, followed by statistical analysis.
Results: The analysis indicated that the prevalence rates were as follows: clinical hyperthyroidism (CHyper) at 0.9%, subclinical hyperthyroidism (SCHyper) at 0.7%, clinical hypothyroidism (CHypo) at 0.8%, subclinical hypothyroidism (SCHypo) at 13.7%, and hyperuricemia at 16.9%. Further analysis revealed that the prevalence of hyperuricemia increased with higher FT4 and FT3 levels but decreased with lower TSH levels. However, logistic regression analysis showed that after adjusting for covariates, thyroid disease status, including CHyper, SCHyper, CHypo, and SCHypo, was not significantly correlated with hyperuricemia. Among the thyroid function indices, only FT4 had a statistically significant effect on the risk of hyperuricemia (OR 1.028, 95% CI 1.011– 1.045). Additionally, the restricted cubic spline (RCS) was employed to assess the dose-response relationship between thyroid function indicators (FT4, FT3, and TSH) within the normal reference range and the risk of hyperuricemia. The FT4 level exhibited a positive relationship with the risk of hyperuricemia (nonlinear test χ2 was 0.26, P > 0.05). When FT4 exceeded 16.85 pmol/L, higher levels of FT4 became a risk factor for hyperuricemia.
Conclusion: Thyroid disease status does not significantly affect hyperuricemia. However, within the normal range, the FT4 level demonstrates a positive dose-response relationship with the risk of hyperuricemia.
Keywords: hyperuricemia, hyperthyroidism, hypothyroidism, thyroid hormone, restricted cubic spline
1Department of Endocrinology, Taiyuan City Central Hospital, Taiyuan, Shanxi Province, People’s Republic of China; 2Department of Medicine, Fuyang Institute of Technology, Fuyang, Anhui Province, People’s Republic of China; 3Department of Endocrinology, Southern University of Science and Technology Hospital, Shenzhen, Guangdong Province, People’s Republic of China
*These authors contributed equally to this work
Correspondence: Yuanbin Li, Southern University of Science and Technology Hospital, No. 6019, Liuxian Avenue, Xili Street, Nanshan District, Shenzhen, 518000, People’s Republic of China, Email liyuanbin1@163.com
Purpose: To date, no comprehensive studies have examined the relationship between various thyroid function statuses and thyroid hormone levels with uric acid levels. This study aims to analyze the correlation between thyroid disease and hyperuricemia.
Patients and Methods: Data from individuals undergoing health screenings in the Taiyuan area were collected. The data were categorized by thyroid disease type, thyroid function indices (FT4, FT3, and TSH), and serum uric acid (SUA) levels, followed by statistical analysis.
Results: The analysis indicated that the prevalence rates were as follows: clinical hyperthyroidism (CHyper) at 0.9%, subclinical hyperthyroidism (SCHyper) at 0.7%, clinical hypothyroidism (CHypo) at 0.8%, subclinical hypothyroidism (SCHypo) at 13.7%, and hyperuricemia at 16.9%. Further analysis revealed that the prevalence of hyperuricemia increased with higher FT4 and FT3 levels but decreased with lower TSH levels. However, logistic regression analysis showed that after adjusting for covariates, thyroid disease status, including CHyper, SCHyper, CHypo, and SCHypo, was not significantly correlated with hyperuricemia. Among the thyroid function indices, only FT4 had a statistically significant effect on the risk of hyperuricemia (OR 1.028, 95% CI 1.011– 1.045). Additionally, the restricted cubic spline (RCS) was employed to assess the dose-response relationship between thyroid function indicators (FT4, FT3, and TSH) within the normal reference range and the risk of hyperuricemia. The FT4 level exhibited a positive relationship with the risk of hyperuricemia (nonlinear test χ2 was 0.26, P > 0.05). When FT4 exceeded 16.85 pmol/L, higher levels of FT4 became a risk factor for hyperuricemia.
Conclusion: Thyroid disease status does not significantly affect hyperuricemia. However, within the normal range, the FT4 level demonstrates a positive dose-response relationship with the risk of hyperuricemia.
Keywords: hyperuricemia, hyperthyroidism, hypothyroidism, thyroid hormone, restricted cubic spline