Impact and predictive value of subclinical hypothyroidism on metabolic associated fatty liver disease
10.3760/cma.j.cn115624-20250216-00128
- VernacularTitle:亚临床甲状腺功能减退症对代谢相关脂肪性肝病的影响及预测价值
- Author:
Huanxin LIU
1
;
Zhong LI
;
Qian NIE
;
Cuiqiao MENG
Author Information
1. 河北省人民医院体检中心，石家庄050051
- Publication Type:Journal Article
- Keywords:
Subclinical hypothyroidism;
Metabolic associated fatty liver disease;
Nomogram;
Predictive model
- From:
Chinese Journal of Health Management
2025;19(7):500-506
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the impact and predictive value of subclinical hypothyroidism on metabolic associated fatty liver disease (MAFLD).Methods:The study adopted a cross-sectional design. A total of 6 597 adults with subclinical hypothyroidism who received health check-ups in the Health Examination Center of Hebei General Hospital from 2018 to 2022 were selected as subjects. The participants were randomly divided into a modeling group (4 617) and a validation group (1 980) in a 7∶3 ratio. The basic information and serological indicators were collected in those subjects. The general clinical characteristics of the MAFLD and non-MAFLD participants were compared in the modeling group. Multivariate logistic regression analysis was used to explore the impact of thyroid hormone on MAFLD. The R language was applied to construct a nomogram prediction model, and internal validation and external validation of the model were performed to evaluate the prediction performance of the model.Results:Of the 6 597 study subjects, the prevalence of MAFLD was 31.14% (2 054/6 597). After preliminary comparison of baseline data from the modeling group, multivariate analysis showed that free triiodothyronine/free thyroxine (FT3/FT4) ( OR=20.945,95% CI: 5.862-74.838), male ( OR=1.394,95% CI: 1.109-1.752), age ( OR=1.017,95% CI: 1.009-1.025), diastolic blood pressure ( OR=1.017,95% CI: 1.004-1.021), waist circumference ( OR=1.049,95% CI:1.031-1.067), body mass index ( OR=1.236,95% CI:1.175-1.299), triglyceride ( OR=1.525,95% CI: 1.379-1.687), low density lipoprotein cholesterol ( OR=1.493,95% CI: 1.313-1.698), fasting glucose ( OR=1.173,95% CI:1.101-1.249) were risk factors for MAFLD, and high density lipoprotein cholesterol ( OR=0.243,95% CI: 0.163-0.363), aspartate aminotransferase/alanine aminotransferase ( OR=0.242,95% CI: 0.183-0.320) were protective factors for MAFLD (all P<0.05). The results showed that the two groups of calibration curves showed the consistency between MAFLD occurrence risk and actual occurrence risk. The AUCs of internal and external validation was 0.897 and 0.907, respectively. This nomogram model had a high predictive value. Conclusion:FT3/FT4 is an independent risk factor for MAFLD in the population with subclinical hypothyroidism. The prediction model incorporating thyroid function and metabolic parameters may provide clinical value for early identification of MAFLD.
