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瘦型代谢相关脂肪性肝病患者肝纤维化程度与颈动脉斑块的相关性分析

章帅 靳寿璐 李晚情 史茜菁 梁好 董浩 陆戴龙 朱滢 向晓星 刘军

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Citation:

瘦型代谢相关脂肪性肝病患者肝纤维化程度与颈动脉斑块的相关性分析

DOI: 10.12449/JCH260212
基金项目: 

江苏省基础研究计划(自然科学基金)青年基金项目 (BK20240498);

国家自然科学基金青年项目 (82400623)

伦理学声明:本研究方案于2024年12月16日经由扬州大学附属苏北人民医院伦理审查委员会审批,批号:2024ky342,患者均签署知情同意书。
利益冲突声明:本文不存在任何利益冲突。
作者贡献声明:章帅负责统计学分析,设计论文框架,起草论文;梁好负责统计学分析,绘制图表;史茜菁、靳寿璐、李晚情、董浩、陆戴龙负责数据收集及分析;朱滢、向晓星负责论文修改;刘军负责拟定写作思路,指导撰写文章并最后定稿。
详细信息
    通信作者:

    刘军,sbyy_liujun@163.com(ORCID: 0000-0001-8738-6548)

Correlation between liver fibrosis degree and carotid plaque in patients with lean metabolic dysfunction-associated fatty liver disease

Research funding: 

Jiangsu Provincial Basic Research Program (Natural Science Foundation) Youth Fund Project (BK20240498);

National Natural Science Foundation of China Youth Project (82400623)

More Information
  • 摘要:   目的  通过观察瘦型代谢相关脂肪性肝病(MAFLD)患者的无创肝纤维化指标,分析其与颈动脉斑块(CP)的关系,为筛查相关高危人群提供依据。  方法  以苏北人民医院2021年1月—2023年6月体检的957例瘦型MAFLD患者为观察队列,以是否患有CP为结局,选择肝纤维化-4(FIB-4)指数、非酒精性脂肪肝病纤维化评分(NFS)作为肝纤维化程度评价指标。对于符合正态分布的计量资料两组间比较采用成组t检验;非正态分布的计量资料两组间比较采用Mann-Whitney U检验。计数资料两组间比较采用χ2检验。多元Logistic回归、限制性立方样条分析、受试者操作特征曲线和中介效应分析被用于探究肝纤维化程度与CP患病的关系。  结果  瘦型MAFLD人群中CP患病率为36.6%。CP组(n=350)的男性、吸烟、糖尿病、高血压比例,以及年龄、血肌酐、血尿素氮、甘油三酯、空腹血糖、天冬氨酸氨基转移酶、天冬氨酸氨基转移酶/丙氨酸氨基转移酶、NFS、FIB-4指数均高于非CP组(n=607),而血小板计数、白蛋白水平则低于非CP组(P值均<0.05)。多元Logistic回归显示,在完全校正混杂因素后,FIB-4指数(OR=2.979, 95%CI:2.141~4.219)和NFS(OR=1.747, 95%CI:1.499~2.046)均与CP患病呈正相关(P值均<0.001)。FIB-4指数和NFS均对CP有较好的预测价值。高血压通过影响肝纤维化指标对CP的患病率有显著的间接效应,经NFS和FIB-4指数评估,中介效应分别为40.8%和39.5%(P值均<0.001)。  结论  在瘦型MAFLD患者中,NFS和FIB-4指数与CP的患病率呈显著正相关。肝纤维化指标可能在高血压与CP的关联中起中介作用。针对高血压和肝纤维化指标的干预措施可能有助于预防和减缓CP进程。

     

  • 注: FIB-4指数,纤维化-4指数;NFS,非酒精性脂肪性肝病纤维化评分;OR,比值比;CI,置信区间。

    图  1  FIB-4指数和NFS与颈动脉斑块患病的限制性立方样条曲线

    Figure  1.  Restricted cubic spline curves of FIB-4 Index and NFS

    注: NFS,非酒精性脂肪性肝病纤维化评分;AUC,受试者操作特征曲线下面积;FIB-4指数,肝纤维化-4指数;CI,置信区间。

    图  2  肝纤维化指标预测颈动脉斑块的受试者操作特征曲线

    Figure  2.  Receiver operating characteristic curves for predicting carotid plaque prevalence using liver fibrosis indicators

    注: FIB-4指数,纤维化-4指数;NFS,非酒精性脂肪性肝病纤维化评分;CP,颈动脉斑块;CI,置信区间。

    图  3  FIB-4指数和NFS的中介效应分析

    Figure  3.  Mediation effect analysis of FIB-4 and NFS

    表  1  一般资料比较

    Table  1.   Comparison of general information

    变量 CP组(n=350) 非CP组(n=607) 统计值 P
    性别[例(%)] χ2=5.652 0.017
    247(70.6) 381(62.8)
    103(29.4) 226(37.2)
    年龄(岁) 54.29±11.89 42.96±11.15 t=14.528 <0.001
    BMI(kg/m2 22.74±0.98 22.65±1.10 t=1.291 0.197
    吸烟[例(%)] 97(27.7) 110(18.1) χ2=11.491 0.001
    腹型肥胖[例(%)] 30(8.6) 48(7.9) χ2=0.057 0.811
    糖尿病[例(%)] 74(21.1) 36(5.9) χ2=49.013 <0.001
    高血压[例(%)] 142(40.6) 125(20.6) χ2=43.061 <0.001
    SUA(μmol/L) 369.73±77.20 369.09±78.26 t=1.466 0.143
    PLT(×109/L) 228.53±56.62 241.39±56.01 t=-3.401 0.001
    Alb(g/L) 44.84±2.22 45.33±2.43 t=-3.119 0.002
    SCr(μmol/L) 66.86±14.17 64.87±14.12 t=2.092 0.037
    BUN(mmol/L) 5.49±1.38 5.11±1.25 t=4.172 <0.001
    TG(mmol/L) 1.86(1.34~2.66) 1.67(1.28~2.37) Z=3.014 0.003
    FPG(mmol/L) 5.67±1.46 5.23±1.28 t=4.678 <0.001
    LDL-C(mmol/L) 2.88±0.80 2.87±0.68 t=0.111 0.911
    HDL-C(mmol/L) 1.150±0.249 1.160±0.234 t=-0.871 0.384
    TBil(μmol/L) 13.76±5.19 13.81±5.57 t=-0.134 0.893
    AST(U/L) 19(16~23) 18(15~23) Z=1.739 0.039
    ALT(U/L) 21(16~29) 21(15~32) Z=0.112 0.967
    AST/ALT 0.91(0.73~1.13) 0.87(0.67~1.08) Z=2.071 0.039
    NFS -2.23(-3.12~-1.52) -3.21(-3.83~-2.43) Z=10.435 <0.001
    FIB-4指数 1.04(0.73~1.35) 0.71(0.50~0.96) Z=8.535 <0.001

    注:CP,颈动脉斑块;BMI,体重指数;SUA,血清尿酸;PLT,血小板;Alb,白蛋白;SCr,血清肌酐;TG,甘油三酯;FPG,空腹葡萄糖;LDL-C,低密度脂蛋白胆固醇;HDL-C,高密度脂蛋白胆固醇;TBil,总胆红素;AST,天冬氨酸氨基转移酶;ALT,丙氨酸氨基转移酶;NFS,非酒精性脂肪性肝病纤维化评分;FIB-4指数,纤维化-4指数。

    下载: 导出CSV

    表  2  多元Logistic回归分析

    Table  2.   Multivariate Logistic regression analysis

    变量 原始队列 倾向性评分匹配后的队列
    模型1 模型2 模型1 模型2
    NFS
    OR 1.917 1.747 1.366 1.295
    95%CI 1.659~2.227 1.499~2.046 1.199~1.561 1.124~1.488
    P <0.001 <0.001 <0.001 <0.001
    FIB-4指数
    OR 3.552 2.979 1.736 1.489
    95%CI 2.650~4.836 2.141~4.219 1.312~2.342 1.224~1.895
    P <0.001 <0.001 <0.001 <0.001

    注:FIB-4指数,纤维化-4指数;NFS,非酒精性脂肪性肝病纤维化评分;OR,比值比;CI,置信区间。

    下载: 导出CSV
  • [1] RINELLA ME, LAZARUS JV, RATZIU V, et al. A multisociety Delphi consensus statement on new fatty liver disease nomenclature[J]. J Hepatol, 2023, 79( 6): 1542- 1556. DOI: 10.1016/j.jhep.2023.06.003.
    [2] WEI YX, ZHOU XD, ZHENG MH. Heart and liver co-management: integrated management of metabolic dysfunctionassociated steatotic liver disease with cardiovascular disease[J/CD]. Chin J Liver Dis(Electronic Version), 2025, 17( 3): 1- 9. DOI: 10.3969/j.issn.1674-7380.2025.03.001.

    韦艺轩, 周晓东, 郑明华. 心肝共治: 代谢相关脂肪性肝病合并心血管疾病风险的协同管理[J/CD]. 中国肝脏病杂志(电子版), 2025, 17( 3): 1- 9. DOI: 10.3969/j.issn.1674-7380.2025.03.001.
    [3] ZHANG C, ZHU PH, HE LL. Research progress on the correlation between metabolic associated fatty liver disease and cardiovascular disease risk[J/CD]. Chin J Liver Dis(Electronic Version), 2025, 17( 1): 12- 18. DOI: 10.3969/j.issn.1674-7380.2025.01.003.

    张成, 朱平辉, 何玲玲. 代谢相关脂肪性肝病与心血管疾病风险相关性研究现状[J/CD]. 中国肝脏病杂志(电子版), 2025, 17( 1): 12- 18. DOI: 10.3969/j.issn.1674-7380.2025.01.003.
    [4] LEE HH, LEE HA, KIM EJ, et al. Metabolic dysfunction-associated steatotic liver disease and risk of cardiovascular disease[J]. Gut, 2024, 73( 3): 533- 540. DOI: 10.1136/gutjnl-2023-331003.
    [5] CHAN KE, KOH TJL, TANG ASP, et al. Global prevalence and clinical characteristics of metabolic-associated fatty liver disease: A meta-analysis and systematic review of 10 739 607 individuals[J]. J Clin Endocrinol Metab, 2022, 107( 9): 2691- 2700. DOI: 10.1210/clinem/dgac321.
    [6] SOUZA M, DIAZ I, AL-SHARIF L. Liver and cardiovascular outcomes in lean non-alcoholic fatty liver disease: An updated systematic review and meta-analysis of about 1 million individuals[J]. Hepatol Int, 2024, 18( 5): 1396- 1415. DOI: 10.1007/s12072-024-10716-z.
    [7] SABA L, SAAM T, JÄGER HR, et al. Imaging biomarkers of vulnerable carotid plaques for stroke risk prediction and their potential clinical implications[J]. Lancet Neurol, 2019, 18( 6): 559- 572. DOI: 10.1016/S1474-4422(19)30035-3.
    [8] BADMUS OO, HINDS TD, STEC DE. Mechanisms linking metabolic-associated fatty liver disease(MAFLD) to cardiovascular disease[J]. Curr Hypertens Rep, 2023, 25( 8): 151- 162. DOI: 10.1007/s11906-023-01242-8.
    [9] SIMON TG, ROELSTRAETE B, HAGSTRÖM H, et al. Non-alcoholic fatty liver disease and incident major adverse cardiovascular events: Results from a nationwide histology cohort[J]. Gut, 2022, 71( 9): 1867- 1875. DOI: 10.1136/gutjnl-2021-325724.
    [10] National Clinical Practice Guideline on Obesity Management Editorial Committee. National clinical practice guideline on obesity management(2024 edition)[J]. Chin Circ J, 2025, 40( 1): 6- 30. DOI: 10.3969/j.issn.1000-3614.2025.01.002.

    国家卫生健康委员会肥胖症诊疗指南编写委员会. 肥胖症诊疗指南(2024年版)[J]. 中国循环杂志, 2025, 40( 1): 6- 30. DOI: 10.3969/j.issn.1000-3614.2025.01.002.
    [11] European Association for the Study of the Liver. EASL clinical practice guidelines: Management of alcohol-related liver disease[J]. J Hepatol, 2018, 69( 1): 154- 181. DOI: 10.1016/j.jhep.2018.03.018.
    [12] ESLAM M, FAN JG, YU ML, et al. The Asian Pacific association for the study of the liver clinical practice guidelines for the diagnosis and management of metabolic dysfunction-associated fatty liver disease[J]. Hepatol Int, 2025, 19( 2): 261- 301. DOI: 10.1007/s12072-024-10774-3.
    [13] MATHIESEN EB, JOHNSEN SH. Ultrasonographic measurements of subclinical carotid atherosclerosis in prediction of ischemic stroke[J]. Acta Neurol Scand, 2009, 120: 68- 72. DOI: 10.1111/j.1600-0404.2009.01210.x.
    [14] LEE J, VALI Y, BOURSIER J, et al. Prognostic accuracy of FIB-4, NAFLD fibrosis score and APRI for NAFLD-related events: A systematic review[J]. Liver Int, 2021, 41( 2): 261- 270. DOI: 10.1111/liv.14669.
    [15] TIAN YB, NIU H, XU F, et al. ALBI score combined with FIB-4 index to predict post-hepatectomy liver failure in patients with hepatocellular carcinoma[J]. Sci Rep, 2024, 14( 1): 8034. DOI: 10.1038/s41598-024-58205-5.
    [16] LIEBE R, ESPOSITO I, BOCK HH, et al. Diagnosis and management of secondary causes of steatohepatitis[J]. J Hepatol, 2021, 74( 6): 1455- 1471. DOI: 10.1016/j.jhep.2021.01.045.
    [17] YOUNG S, TARIQ R, PROVENZA J, et al. Prevalence and profile of nonalcoholic fatty liver disease in lean adults: Systematic review and meta-analysis[J]. Hepatol Commun, 2020, 4( 7): 953- 972. DOI: 10.1002/hep4.1519.
    [18] ZHU YD, ZHANG ZJ, ZHANG GL, et al. Association of metabolic associated fatty liver disease with carotid atherosclerotic plaque and stenosis[J]. J Clin Hepatol, 2024, 40( 8): 1591- 1597. DOI: 10.12449/JCH240814.

    朱英嵽, 张志娇, 张桂林, 等. 代谢相关脂肪性肝病与颈动脉粥样硬化斑块及狭窄的关联分析[J]. 临床肝胆病杂志, 2024, 40( 8): 1591- 1597. DOI: 10.12449/JCH240814.
    [19] ZOU B, YEO YH, NGUYEN VH, et al. Prevalence, characteristics and mortality outcomes of obese, nonobese and lean NAFLD in the United States, 1999-2016[J]. J Intern Med, 2020, 288( 1): 139- 151. DOI: 10.1111/joim.13069.
    [20] KIM Y, HAN E, LEE JS, et al. Cardiovascular risk is elevated in lean subjects with nonalcoholic fatty liver disease[J]. Gut Liver, 2022, 16( 2): 290- 299. DOI: 10.5009/gnl210084.
    [21] XUE JF, ZHAO L, SHAO L, et al. Higher risk of carotid plaque among lean individuals with non-alcoholic fatty liver disease: A retrospective study[J]. PLoS One, 2025, 20( 2): e0316997. DOI: 10.1371/journal.pone.0316997.
    [22] WANG YQ, YUAN T, DENG SW, et al. Metabolic health phenotype better predicts subclinical atherosclerosis than body mass index-based obesity phenotype in the non-alcoholic fatty liver disease population[J]. Front Nutr, 2023, 10: 1104859. DOI: 10.3389/fnut.2023.1104859.
    [23] MEHAL W. Mechanisms of liver fibrosis in metabolic syndrome[J]. eGastroenterology, 2023, 1( 1): e100015. DOI: 10.1136/egastro-2023-100015.
    [24] ZHANG J, LI L, LIN L, et al. Prognostic value of FIB-4 and NFS for cardiovascular events in patients with and without NAFLD[J]. BMC Public Health, 2025, 25( 1): 2747. DOI: 10.1186/s12889-025-23883-x.
    [25] CHEKOL ABEBE E, TILAHUN MUCHE Z, BEHAILE T/MARIAM A, et al. The structure, biosynthesis, and biological roles of fetuin-A: A review[J]. Front Cell Dev Biol, 2022, 10: 945287. DOI: 10.3389/fcell.2022.945287.
    [26] MI P. CD36, a scavenger receptor implicated in atherosclerosis[J]. Exp Mol Med, 2014, 46( 6): e99. DOI: 10.1038/emm.2014.38.
    [27] MCMURRY HS, JOU J, SHATZEL J. The hemostatic and thrombotic complications of liver disease[J]. Eur J Haematol, 2021, 107( 4): 383- 392. DOI: 10.1111/ejh.13688.
    [28] GAO ZF, DENG H, QIN BW, et al. Impact of hypertension on liver fibrosis in patients with metabolic dysfunction-associated fatty liver disease[J]. Front Med, 2025, 12: 1539283. DOI: 10.3389/fmed.2025.1539283.
    [29] LI W, LIU ZR, ZHAO JQ, et al. Association of systolic blood pressure time in target range with carotid atherosclerotic plaque and carotid intima-media thickness in hypertensive patients[J]. Sci Rep, 2025, 15( 1): 17347. DOI: 10.1038/s41598-025-01217-6.
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