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- Title
Association between thyroid hormones and diabetic kidney disease in Chinese adults.
- Authors
Liu, Meng-chao; Li, Jia-lin; Wang, Yue-fen; Meng, Yuan; Cai, Zhen; Shen, Cun; Wang, Meng-di; Zhao, Wen-jing; Niu, Wen-quan
- Abstract
Objective: We aimed to explore the association between thyroid hormones and different stages of diabetic kidney disease (DKD) in Chinese adults. Methods: This is a retrospective study involving 2,832 participants. DKD was diagnosed and classified according to the Kidney Disease: Improving Global Outcomes (KDIGO) categories. Effect sizes are expressed as odds ratio (OR) with 95% confidence interval (CI). Results: After propensity score matching (PSM) on age, gender, hypertension, hemoglobin A1c(HbA1c), total cholesterol (TC), serum triglyceride (TG) and duration of diabetes, per 0.2 pg/mL increment in serum free triiodothyronine (FT3) was significantly associated with 13%, 22% and 37% reduced risk of moderate-risk (OR, 95% CI, P: 0.87, 0.70–0.87, < 0.001), high-risk (0.78, 0.70–0.87, < 0.001) and very-high-risk (0.63, 0.55–0.72, < 0.001) DKD stages relative to the low-risk DKD stage, respectively. After PSM analyses, serum FT4 and TSH showed no statistical significance in risk estimates for all DKD stages. To facilitate clinical application, a nomogram prediction model was established for the moderate-risk, high-risk and very-high-risk DKD stages, with decent accuracy. Conclusion: Our results indicate that high concentrations of serum FT3 were associated with the significantly reduced risk of having moderate-risk to very-high-risk DKD stages.
- Subjects
GLYCOSYLATED hemoglobin; TRIGLYCERIDES; THYROID hormones; CONFIDENCE intervals; RETROSPECTIVE studies; DESCRIPTIVE statistics; RESEARCH funding; ODDS ratio; PREDICTION models; PREDICTIVE validity; DIABETIC nephropathies; CHOLESTEROL
- Publication
BMC Endocrine Disorders, 2023, Vol 23, Issue 1, p1
- ISSN
1472-6823
- Publication type
Article
- DOI
10.1186/s12902-023-01299-1