
浏览全部资源
扫码关注微信
1.空军军医大学第一附属医院肝胆胰脾外科, 陕西西安
2.中国人民解放军94750部队医院外科,福建龙岩
赖全友,E-mail:laiqy@pku.org.cn
收稿:2025-08-05,
修回:2025-11-04,
录用:2025-11-05,
纸质出版:2025-11-30
移动端阅览
王尚毓,贾鹏,杨晓佼,等.估计葡萄糖处理率作为非酒精性脂肪性肝病的便捷识别工具:一项基于NHANES的横断面研究揭示其保护性阈值[J].陆军军医大学学报,2025,47(22):2837-2846.DOI:10.16016/j.2097-0927.202508015.
WANG S Y,JIA P,YANG X J,et al.Estimated glucose disposal rate as a practical tool for non-alcoholic fatty liver disease identification: A NHANES-based cross-sectional study uncovering its protective threshold[J].J Army Med Univ,2025,47(22):2837-2846.DOI:10.16016/j.2097-0927.202508015.
王尚毓,贾鹏,杨晓佼,等.估计葡萄糖处理率作为非酒精性脂肪性肝病的便捷识别工具:一项基于NHANES的横断面研究揭示其保护性阈值[J].陆军军医大学学报,2025,47(22):2837-2846.DOI:10.16016/j.2097-0927.202508015. DOI:
WANG S Y,JIA P,YANG X J,et al.Estimated glucose disposal rate as a practical tool for non-alcoholic fatty liver disease identification: A NHANES-based cross-sectional study uncovering its protective threshold[J].J Army Med Univ,2025,47(22):2837-2846.DOI:10.16016/j.2097-0927.202508015. DOI:
目的
2
探讨估计葡萄糖处理率(estimated glucose disposal rate,eGDR)对非酒精性脂肪性肝病(non-alcoholic fatty liver disease,NAFLD)的早期识别价值,为临床精准干预提供简便工具。
方法
2
通过横断面分析的方法,从美国国家健康和营养调查数据库中纳入来自2007—2018年共计3 262名具有完整数据的参与者进行分析。采用单因素回归和多元Logistic回归分析探讨估计葡萄糖处理率与非酒精性脂肪肝发病率的相关性,通过亚组分析、限制性三次样条和阈值效应分析探究潜在的因素影响和非线性关系。
结果
2
在所有纳入人群中,948例(25.29%)被诊断为NAFLD,并随着估计葡萄糖处理率的增加人数而逐渐减少(
P<
0.001)。多元logistic回归显示,估计葡萄糖处理率和非酒精性脂肪肝呈负向相关(
OR
=0.86,95%
CI
:0.83~0.88,
P<
0.001),且估计葡萄糖处理率≥10.246时可显著降低非酒精性脂肪肝的发生风险(
OR
=0.20,95%:0.10~0.39,
P
<
0.001),分层分析进一步证实了这一结果。
结论
2
更高的eGDR水平预示着更低的NAFLD患病风险。这提示在临床实践中,通过量化eGDR指标,有助于识别NAFLD的患病风险,从而更早地发现潜在患病人群并实施针对性干预。对策 建议有关部门将eGDR 这一指标纳入公共卫生防控体系,通过社区筛查构建数据驱动的风险分层管理路径;同时将NAFLD防治整合进现有慢性病管理网络,推动多部门协作制定健康饮食与运动支持政策,并加强疾病监测、药物研发与综合干预,从而实现对高危人群的早期识别与精准管理,全面降低NAFLD的疾病负担。
Objective
2
To explore the early detection value of estimated glucose disposal rate (eGDR) for non-alcoholic fatty liver disease (NAFLD)
providing a simple tool for precise clinical intervention.
Methods
2
A cross-sectional analysis was conducted on totally 3 262 participants with complete data from the National Health and Nutrition Survey Database of the United States from 2007 to 2018. Univariate regression and multivariate logistic regression analyses were used to explore the correlation between the estimated glucose treatment rate and the incidence of non-alcoholic fatty liver disease. Subgroup analysis
restricted cubic spline and threshold effect analysis were conducted to investigate the potential factor influences and nonlinear relationships.
Result
2
Among all the included populations
948 cases (25.29%) were diagnosed with NAFLD
and the number gradually decreased with the increase of the estimated glucose treatment rate (
P
<
0.001). Multivariate logistic regression showed that the estimated grape processing rate was negatively correlated with non-alcoholic fatty liver disease (
OR
=0.86
95%
CI
:0.83~0.88
P
<
0.001)
and when the estimated glucose processing rate was ≥10.246
it could significantly reduce the risk of non-alcoholic fatty liver disease (
OR
=0.20
95%
CI
:0.10~0.39
P
<
0.001)
and stratified analysis further confirmed this result.
Conclusion
2
The eGDR is significantly associated with the incidence risk of NAFLD. A higher eGDR indicates a lower risk of NAFLD. This implies that in clinical practice
the risk of disease detection can be quantified through this indicator
thereby identifying potential patients earlier and initiating intervention. Countermeasures As decision-makers
they should strengthen public health education on non-alcoholic fatty liver disease
reduce health risks by promoting healthy diets and lifestyle interventions
and pay attention to the cardiovascular health of high-risk groups for non-alcoholic fatty liver disease. At the same time
promote the research and application of drugs
and dynamically adjust policies through continuous disease monitoring to comprehensively reduce the burden of non-alcoholic fatty liver disease.
YOUNOSSI Z , ANSTEE Q M , MARIETTI M , et al . Global burden of NAFLD and NASH: trends, predictions, risk factors and prevention [J]. Nat Rev Gastroenterol Hepatol , 2018 , 15 ( 1 ): 11 - 20 . DOI: 10.1038/nrgastro.2017.109 http://dx.doi.org/10.1038/nrgastro.2017.109 .
LE M H , YEO Y H , LI X H , et al . 2019 global NAFLD prevalence: a systematic review and meta-analysis [J]. Clin Gastroenterol Hepatol , 2022 , 20 ( 12 ): 2809 - 2817.e28 . DOI: 10.1016/j.cgh.2021.12.002 http://dx.doi.org/10.1016/j.cgh.2021.12.002 .
RONG L , ZOU J Y , RAN W , et al . Advancements in the treatment of non-alcoholic fatty liver disease (NAFLD) [J]. Front Endocrinol , 2022 , 13 : 1087260 . DOI: 10.3389/fendo.2022.1087260 http://dx.doi.org/10.3389/fendo.2022.1087260 .
BONORA E , TARGHER G , ALBERICHE M , et al . Homeostasis model assessment closely mirrors the glucose clamp technique in the assessment of insulin sensitivity: studies in subjects with various degrees of glucose tolerance and insulin sensitivity [J]. Diabetes Care , 2000 , 23 ( 1 ): 57 - 63 . DOI: 10.2337/diacare.23.1.57 http://dx.doi.org/10.2337/diacare.23.1.57 .
WILLIAMS K V , ERBEY J R , BECKER D , et al . Can clinical factors estimate insulin resistance in type 1 diabetes [J]. Diabetes , 2000 , 49 ( 4 ): 626 - 632 . DOI: 10.2337/diabetes.49.4.626 http://dx.doi.org/10.2337/diabetes.49.4.626 .
ZHANG Z L , ZHAO L , LU Y T , et al . Insulin resistance assessed by estimated glucose disposal rate and risk of incident cardiovascular diseases among individuals without diabetes: findings from a nationwide, population based, prospective cohort study [J]. Cardiovasc Diabetol , 2024 , 23 ( 1 ): 194 . DOI: 10.1186/s12933-024-02256-5 http://dx.doi.org/10.1186/s12933-024-02256-5 .
PENG J , ZHANG Y , ZHU Y Q , et al . Estimated glucose disposal rate for predicting cardiovascular events and mortality in patients with non-diabetic chronic kidney disease: a prospective cohort study [J]. BMC Med , 2024 , 22 ( 1 ): 411 . DOI: 10.1186/s12916-024-03582-x http://dx.doi.org/10.1186/s12916-024-03582-x .
EDDOWES P J , SASSO M , ALLISON M , et al . Accuracy of FibroScan controlled attenuation parameter and liver stiffness measurement in assessing steatosis and fibrosis in patients with nonalcoholic fatty liver disease [J]. Gastroenterology , 2019 , 156 ( 6 ): 1717 - 1730 . DOI: 10.1053/j.gastro.2019. 01.042 http://dx.doi.org/10.1053/j.gastro.2019.01.042 .
RUHL C E , EVERHART J E . Fatty liver indices in the multiethnic United States National Health and Nutrition Examination Survey [J]. Aliment Pharmacol Ther , 2015 , 41 ( 1 ): 65 - 76 . DOI: 10.1111/apt.13012 http://dx.doi.org/10.1111/apt.13012 .
SONG J T , MA R C , YIN L . Associations between estimated glucose disposal rate and arterial stiffness and mortality among US adults with non-alcoholic fatty liver disease [J]. Front Endocrinol , 2024 , 15 : 1398265 . DOI: 10.3389/fendo.2024.1398265 http://dx.doi.org/10.3389/fendo.2024.1398265 .
RIAZI K , AZHARI H , CHARETTE J H , et al . The prevalence and incidence of NAFLD worldwide: a systematic review and meta-analysis [J]. Lancet Gastroenterol Hepatol , 2022 , 7 ( 9 ): 851 - 861 . DOI: 10.1016/S2468-1253(22)00165-0 http://dx.doi.org/10.1016/S2468-1253(22)00165-0 .
ZIAMANESH F , MOHAMMADI M , EBRAHIMPOUR S , et al . Unraveling the link between insulin resistance and non-alcoholic fatty liver disease (or metabolic dysfunction-associated steatotic liver disease): a narrative review [J]. J Diabetes Metab Disord , 2023 , 22 ( 2 ): 1083 - 1094 . DOI: 10.1007/s40200-023-01293-3 http://dx.doi.org/10.1007/s40200-023-01293-3 .
ALFERINK L J , KIEFTE-DE JONG J C , ERLER N S , et al . Association of dietary macronutrient composition and non-alcoholic fatty liver disease in an ageing population: the Rotterdam Study [J]. Gut , 2019 , 68 ( 6 ): 1088 - 1098 . DOI: 10.1136/gutjnl-2017-315940 http://dx.doi.org/10.1136/gutjnl-2017-315940 .
GORDITO SOLER M , LÓPEZ-GONZÁLEZ Á A , VALLEJOS D , et al . Usefulness of body fat and visceral fat determined by bioimpedanciometry versus body mass index and waist circumference in predicting elevated values of different risk scales for non-alcoholic fatty liver disease [J]. Nutrients , 2024 , 16 ( 13 ): 2160 . DOI: 10.3390/nu16132160 http://dx.doi.org/10.3390/nu16132160 .
ZIOLKOWSKA S , BINIENDA A , JABŁKOWSKI M , et al . The interplay between insulin resistance, inflammation, oxidative stress, base excision repair and metabolic syndrome in nonalcoholic fatty liver disease [J]. Int J Mol Sci , 2021 , 22 ( 20 ): 11128 . DOI: 10.3390/ijms222011128 http://dx.doi.org/10.3390/ijms222011128 .
BANG K B , CHO Y K . Comorbidities and metabolic derangement of NAFLD [J]. J Lifestyle Med , 2015 , 5 ( 1 ): 7 - 13 . DOI: 10.15280/jlm.2015.5.1.7 http://dx.doi.org/10.15280/jlm.2015.5.1.7 .
ASSY N , KAITA K , MYMIN D , et al . Fatty infiltration of liver in hyperlipidemic patients [J]. Dig Dis Sci , 2000 , 45 ( 10 ): 1929 - 1934 . DOI: 10.1023/a: 1005661516165 http://dx.doi.org/10.1023/a:1005661516165 .
RYOO J H , SUH Y J , SHIN H C , et al . Clinical association between non-alcoholic fatty liver disease and the development of hypertension [J]. J Gastroenterol Hepatol , 2014 , 29 ( 11 ): 1926 - 1931 . DOI: 10.1111/jgh.12643 http://dx.doi.org/10.1111/jgh.12643 .
CAPALDO B , LEMBO G , NAPOLI R , et al . Skeletal muscle is a primary site of insulin resistance in essential hypertension [J]. Metabolism , 1991 , 40 ( 12 ): 1320 - 1322 . DOI: 10.1016/0026-0495(91)90036-V http://dx.doi.org/10.1016/0026-0495(91)90036-V .
MANTOVANI A , PETRACCA G , BEATRICE G , et al . Non-alcoholic fatty liver disease and risk of incident chronic kidney disease: an updated meta-analysis [J]. Gut , 2022 , 71 ( 1 ): 156 - 162 . DOI: 10.1136/gutjnl-2020-323082 http://dx.doi.org/10.1136/gutjnl-2020-323082 .
NAH E H , SHIN S K , CHO S , et al . Chronic kidney disease in nonalcoholic fatty liver disease at primary healthcare centers in Korea [J]. PLoS One , 2022 , 17 ( 12 ): e0279367 . DOI: 10.1371/journal.pone.0279367 http://dx.doi.org/10.1371/journal.pone.0279367 .
CAO Y , DU Y W , JIA W L , et al . Identification of biomarkers for the diagnosis of chronic kidney disease (CKD) with non-alcoholic fatty liver disease (NAFLD) by bioinformatics analysis and machine learning [J]. Front Endocrinol , 2023 , 14 : 1125829 . DOI: 10.3389/fendo.2023.1125829 http://dx.doi.org/10.3389/fendo.2023.1125829 .
HAN Y T , ZHANG K X , LUO Y , et al . Relationship between stroke and estimated glucose disposal rate: results from two prospective cohort studies [J]. Lipids Health Dis , 2024 , 23 ( 1 ): 392 . DOI: 10.1186/s12944-024-02385-6 http://dx.doi.org/10.1186/s12944-024-02385-6 .
0
浏览量
0
下载量
0
CSCD
关联资源
相关文章
相关作者
相关机构
京公网安备11010802024621