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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

朱英嵽 张志娇 张桂林 高云堃 郑梦瑶 黄华 赵公芳

引用本文:
Citation:

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

DOI: 10.12449/JCH240814
基金项目: 

云南省“万人计划”名医人才专项 (YNWR-MY-2019-074)

伦理学声明:本研究方案于2023年8月31日经由昆明医科大学第二附属医院伦理委员会审批,批号:审-PJ-科- 2023-202,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:朱英嵽负责文章的构思设计,论文撰写与修订;张志娇、张桂林负责数据的获取及分析处理;高云堃、郑梦瑶负责研究思路的设计;黄华、赵公芳参与修改文章的关键内容。
详细信息
    通信作者:

    赵公芳, zhaogongfangedu@163.com (ORCID: 0000-0001-9178-1567)

Association of metabolic associated fatty liver disease with carotid atherosclerotic plaque and stenosis

Research funding: 

Yunnan Province “Ten Thousand Talents Plan” Famous Medical Talents Project (YNWR-MY-2019-074)

More Information
  • 摘要:   目的  分析代谢相关脂肪性肝病(MAFLD)与颈动脉粥样硬化斑块的相关性。  方法  随机纳入2014年7月—2022年12月在昆明医科大学第二附属医院住院期间同时完善腹部超声、头颈动脉CT血管成像的1 107例患者。收集基线资料、临床诊断,根据病史、临床检验及影像学指标分为MAFLD组(n=499)和非MAFLD组(n=608)。颈动脉斑块根据CT值分为钙化斑块、非钙化斑块及混合斑块。根据北美症状性颈动脉内膜剥脱试验(NASCET)标准,颈动脉狭窄分为:正常血管、轻微狭窄、轻度狭窄、中度狭窄、重度狭窄及闭塞。符合正态分布的计量资料两组间比较采用成组t检验;不符合正态分布的计量资料两组间比较采用Mann-Whitney U秩和检验;计数资料两组间比较采用χ2检验。采用单因素和多因素Logistic回归分析颈动脉粥样硬化的影响因素。  结果  MAFLD组患者钙化斑块、非钙化斑块、混合斑块的比例均高于非MAFLD组(74.3% vs 63.3%、27.1% vs 17.1%、27.3% vs 20.7%),差异均有统计学意义(P值均<0.05);MAFLD组患者颈动脉轻度狭窄、中度狭窄、重度狭窄及闭塞的比例均高于非MAFLD组(50.9% vs 44.9%、14.6% vs 8.4%、6.6% vs 3.5%),差异均有统计学意义(P值均<0.05)。单因素Logistic回归分析结果显示,MAFLD是颈动脉钙化斑块、非钙化斑块和混合斑块的危险因素,也是颈动脉轻度、中度、重度狭窄及闭塞的危险因素(P值均<0.05)。校正混杂因素后,多因素Logistic回归分析结果显示MAFLD仍是颈动脉钙化斑块、非钙化斑块、混合斑块以及颈动脉中度狭窄的独立危险因素(P值均<0.05)。  结论  MAFLD是颈动脉中度狭窄,颈动脉钙化斑块、非钙化斑块及混合斑块的独立危险因素。

     

  • 表  1  非MAFLD组与MAFLD组基线特征比较

    Table  1.   Comparison of general data between non-MAFLD group and MAFLD group

    组别 合计(n=1 107) 非MAFLD(n=608) MAFLD(n=499) 统计值 P
    年龄(岁) 61.31±12.95 60.68±14.20 62.09±11.20 t=1.855 0.064
    性别[例(%)] χ2=4.044 0.044
    664(60.0) 381(62.7) 283(56.7)
    443(40.0) 227(37.3) 216(43.3)
    2型糖尿病[例(%)] χ2=57.888 <0.001
    333(30.1) 125(20.6) 208(41.8)
    774(69.9) 483(79.4) 291(58.3)
    吸烟[例(%)] χ2=9.834 0.002
    363(32.8) 175(28.8) 188(37.7)
    744(67.2) 433(71.2) 311(62.3)
    服用降脂药[例(%)] χ2=11.550 0.001
    867(78.3) 453(74.5) 414(83.0)
    240(21.7) 155(25.5) 85(17.0)
    胰岛素抵抗[例(%)] χ2=21.965 <0.001
    94(8.5) 30(4.9) 64(12.8)
    1013(91.5) 578(95.1) 435(87.2)
    高血压[例(%)] χ2=30.450 <0.001
    715(64.6) 349(57.4) 366(73.3)
    392(35.4) 259(42.6) 133(26.7)
    身高(m) 1.63±0.08 1.63±0.08 1.64±0.08 t=0.142 0.887
    体质量(kg) 64.94±11.09 62.05±10.46 68.47±10.82 t=10.007 <0.001
    BMI(kg/m2 24.24±3.39 23.15±3.04 25.56±3.32 t=12.601 <0.001
    SBP(mmHg) 135.72±22.30 132.41±22.29 139.77±21.65 t=5.536 <0.001
    DBP(mmHg) 82.99±13.51 81.32±13.48 85.03±13.27 t=4.583 <0.001
    TG(mmol/L) 1.47(1.07~2.05) 1.29(0.96~1.75) 1.71(1.31~2.36) Z=-9.844 <0.001
    HDL(mmol/L) 1.07(0.92~1.25) 1.12(0.95~1.28) 1.03(0.89~1.20) Z=-5.445 <0.001
    LDL(mmol/L) 2.69(2.16~3.22) 2.64(2.14~3.17) 2.78(2.23~3.30) Z=-2.717 0.007
    FPG(mmol/L) 5.13(4.59~6.19) 4.91(4.45~5.70) 5.49(4.75~6.87) Z=-7.765 <0.001
    ALT(U/L) 18(13~27) 17(12~25) 21(14~30) Z=-5.125 <0.001
    AST(U/L) 21(17~26) 21(17~26) 21(17~27) Z=-1.268 0.205
    下载: 导出CSV

    表  2  非MAFLD组与MAFLD组颈动脉斑块比较

    Table  2.   Comparison of carotid plaque between non-MAFLD group and MAFLD group

    颈动脉斑块类型 合计(n=1 107) 非MAFLD(n=608) MAFLD(n=499) χ2 P
    钙化斑块[例(%)] 756(68.3) 385(63.3) 371(74.3) 15.388 <0.001
    非钙化斑块[例(%)] 239(21.6) 104(17.1) 135(27.1) 16.024 <0.001
    混合斑块[例(%)] 262(23.7) 126(20.7) 136(27.3) 6.470 0.011
    下载: 导出CSV

    表  3  单因素Logistic回归分析

    Table  3.   Univariate Logistic regression analysis

    指标 钙化斑块 非钙化斑块 混合斑块
    OR(95%CI P OR(95%CI P OR(95%CI P
    MAFLD 1.679(1.295~2.177) <0.001 1.797(1.346~2.400) <0.001 1.433(1.085~1.893) 0.011
    性别 1.221(0.944~1.578) 0.129 2.233(1.624~3.072) <0.001 1.565(1.168~2.098) 0.003
    年龄 1.099(1.084~1.114) <0.001 1.029(1.017~1.042) <0.001 1.056(1.042~1.070) <0.001
    吸烟 1.123(0.856~1.474) 0.402 2.073(1.546~2.780) <0.001 1.658(1.245~2.207) 0.001
    BMI 1.004(0.967~1.042) 0.833 1.024(0.982~1.068) 0.263 1.004(0.963~1.046) 0.859
    TG 0.952(0.868~1.044) 0.295 0.951(0.846~1.070) 0.405 1.008(0.910~1.118) 0.872
    HDL 0.538(0.346~0.837) 0.006 0.432(0.247~0.755) 0.003 0.317(0.182~0.555) <0.001
    LDL 0.869(0.739~1.021) 0.088 1.035(0.862~1.242) 0.713 0.813(0.679~0.974) 0.250
    2型糖尿病 2.677(1.957~3.663) <0.001 2.098(1.558~2.823) <0.001 1.655(1.237~2.214) 0.001
    FPG 1.149(1.077~1.226) <0.001 1.103(1.050~1.159) <0.001 1.043(0.992~1.097) 0.104
    高血压 3.284(2.520~4.280) <0.001 2.394(1.707~3.358) <0.001 2.292(1.660~3.165) <0.001
    胰岛素抵抗 1.680(1.016~2.777) 0.043 2.233(1.427~3.495) <0.001 1.186(0.734~1.917) 0.485
    ALT 0.990(0.984~0.997) 0.005 0.996(0.987~1.004) 0.319 1.000(0.994~1.007) 0.899
    下载: 导出CSV

    表  4  多因素Logistic回归分析

    Table  4.   Multifactorial Logistic regression analysis

    项目 钙化斑块 非钙化斑块 混合斑块
    OR(95%CI P OR(95%CI P OR(95%CI P
    模型1:MAFLD 1.725(1.279~2.326) <0.001 1.840(1.360~2.489) <0.001 1.452(1.080~1.951) 0.013
    模型2:MAFLD 1.674(1.211~2.314) 0.002 1.806(1.312~2.486) <0.001 1.414(1.035~1.932) 0.029
    模型3:MAFLD 1.615(1.156~2.255) 0.005 1.840(1.324~2.556) <0.001 1.441(1.044~1.989) 0.026
    模型4:MAFLD 1.554(1.107~2.181) 0.011 1.801(1.294~2.509) <0.001 1.445(1.045~1.999) 0.026
    模型5:MAFLD 1.507(1.072~2.119) 0.018 1.748(1.253~2.439) 0.001 1.443(1.042~1.999) 0.027
    模型6:MAFLD 1.483(1.052~2.091) 0.024 1.703(1.218~2.380) 0.002 1.424(1.027~1.975) 0.034

    注:模型1,校正性别、吸烟、年龄后;模型2:校正性别、吸烟、年龄、BMI后;模型3,校正性别、吸烟、年龄、BMI、高血压后;模型4,校正性别、吸烟、年龄、BMI、高血压、HDL后;模型5,校正性别、吸烟、年龄、BMI、高血压、HDL、PFG后;模型6,校正性别、吸烟、年龄、BMI、高血压、HDL、PFG、2型糖尿病后。

    下载: 导出CSV

    表  5  非MAFLD组与MAFLD组颈动脉狭窄程度比较

    Table  5.   Comparison of carotid stenosis between non-MAFLD group and MAFLD group

    颈动脉狭窄程度 合计(n=1 107) 非MAFLD(n=608) MAFLD(n=499) Z P
    正常血管[例(%)] 319(28.8) 215(35.4) 104(20.8) -5.305 <0.001
    轻微狭窄[例(%)] 83(7.5) 48(7.9) 35(7.0) -0.553 0.580
    轻度狭窄[例(%)] 527(47.6) 273(44.9) 254(50.9) -1.988 0.047
    中度狭窄[例(%)] 124(11.2) 51(8.4) 73(14.6) -3.275 0.001
    重度狭窄/闭塞[例(%)] 54(4.9) 21(3.5) 33(6.6) 2.427 0.015
    下载: 导出CSV

    表  6  单因素Logistic回归分析

    Table  6.   Univariate Logistic regression analysis

    指标 轻度狭窄 中度狭窄 重度狭窄/闭塞
    OR(95%CI P OR(95%CI P OR(95%CI P
    MAFLD 1.272(1.003~1.613) 0.047 1.872(1.281~2.735) 0.001 1.979(1.130~3.476) 0.017
    性别 1.144(0.899~1.456) 0.275 0.685(0.461~1.020) 0.062 0.562(0.306~1.032) 0.063
    年龄 1.049(1.038~1.060) <0.001 1.043(1.026~1.061) <0.001 1.023(1.000~1.047) 0.049
    吸烟 1.054(0.820~1.355) 0.683 1.339(0.911~1.969) 0.137 1.556(0.894~2.709) 0.118
    BMI 0.994(0.959~1.029) 0.714 1.066(1.010~1.125) 0.020 0.989(0.912~1.073) 0.787
    TG 1.004(0.919~1.097) 0.933 1.026(0.898~1.171) 0.710 0.886(0.680~1.156) 0.373
    HDL 0.996(0.657~1.512) 0.986 0.433(0.209~0.897) 0.024 0.305(0.100~0.926) 0.036
    LDL 0.943(0.811~1.097) 0.446 1.033(0.791~1.273) 0.979 0.817(0.572~1.168) 0.268
    2型糖尿病 1.427(1.103~1.847) 0.007 2.259(1.546~3.301) <0.001 3.347(1.920~5.835) <0.001
    FPG 1.022(0.976~1.069) 0.359 1.145(1.083~1.211) <0.001 1.128(1.047~1.216) 0.002
    高血压 2.089(1.622~2.692) <0.001 2.648(1.653~4.240) <0.001 2.512(1.250~5.049) 0.010
    胰岛素抵抗 1.277(0.836~1.950) 0.258 2.027(1.167~3.519) 0.012 1.371(0.571~3.293) 0.481
    ALT 0.995(0.988~1.001) 0.102 0.996(0.985~1.007) 0.472 0.999(0.985~1.014) 0.924
    下载: 导出CSV

    表  7  多因素Logistic回归分析

    Table  7.   Multifactorial Logistic regression analysis

    项目 轻度狭窄 中度狭窄 重度狭窄/闭塞
    OR(95%CI P OR(95%CI P OR(95%CI P
    模型1:MAFLD 1.296(1.019~1.649) 0.035 1.920(1.306~2.825) 0.001 2.033(1.150~3.594) 0.015
    模型2:MAFLD 1.265(0.985~1.626) 0.066 1.947(1.316~2.882) 0.001 2.020(1.141~3.576) 0.016
    模型3:MAFLD 1.265(0.967~1.655) 0.086 1.698(1.124~2.563) 0.012 2.200(1.206~4.012) 0.010
    模型4:MAFLD 1.224(0.935~1.604) 0.142 1.668(1.103~2.523) 0.015 2.124(1.163~3.879) 0.014
    模型5:MAFLD 1.270(0.962~1.676) 0.091 1.658(1.088~2.527) 0.019 1.976(1.074~3.637) 0.029
    模型6:MAFLD 1.289(0.975~1.703) 0.075 1.568(1.024~2.402) 0.039 1.893(1.023~3.501) 0.042
    模型7:MAFLD 1.285(0.971~1.701) 0.080 1.553(1.012~2.383) 0.044 1.759(0.945~3.271) 0.075

    注:模型1,校正性别、吸烟后;模型2,校正性别、吸烟、年龄后;模型3:校正性别、吸烟、年龄、BMI后;模型4,校正性别、吸烟、年龄、BMI、高血压后;模型5,校正性别、吸烟、年龄、BMI、高血压、HDL后;模型6,校正性别、吸烟、年龄、BMI、高血压、HDL、PFG;模型7,性别、吸烟、年龄、BMI、高血压、HDL、PFG、2型糖尿病后。

    下载: 导出CSV
  • [1] FILIPOVIC B, MARJANOVIC-HALJILJI M, MIJAC D, et al. Molecular aspects of MAFLD-new insights on pathogenesis and treatment[J]. Curr Issues Mol Biol, 2023, 45( 11): 9132- 9148. DOI: 10.3390/cimb45110573.
    [2] XUE R, FAN JG. Brief introduction of an international expert consensus statement: A new definition of metabolic associated fatty liver disease[J]. J Clin Hepatol, 2020, 36( 6): 1224- 1227. DOI: 10.3969/j.issn.1001-5256.2020.06.007.

    薛芮, 范建高. 代谢相关脂肪性肝病新定义的国际专家共识简介[J]. 临床肝胆病杂志, 2020, 36( 6): 1224- 1227. DOI: 10.3969/j.issn.1001-5256.2020.06.007.
    [3] ESLAM M, NEWSOME PN, SARIN SK, et al. A new definition for metabolic dysfunction-associated fatty liver disease: An international expert consensus statement[J]. J Hepatol, 2020, 73( 1): 202- 209. DOI: 10.1016/j.jhep.2020.03.039.
    [4] LEI F, WANG XM, WANG CQ, et al. Metabolic dysfunction-associated fatty liver disease increased the risk of subclinical carotid atherosclerosis in China[J]. Front Endocrinol, 2023, 14: 1109673. DOI: 10.3389/fendo.2023.1109673.
    [5] GBD 2019 Stroke Collaborators. Global, regional, and national burden of stroke and its risk factors, 1990-2019: A systematic analysis for the Global Burden of Disease Study 2019[J]. Lancet Neurol, 2021, 20( 10): 795- 820. DOI: 10.1016/S1474-4422(21)00252-0.
    [6] ZHOU XD, CAI JJ, TARGHER G, et al. Metabolic dysfunction-associated fatty liver disease and implications for cardiovascular risk and disease prevention[J]. Cardiovasc Diabetol, 2022, 21( 1): 270. DOI: 10.1186/s12933-022-01697-0.
    [7] National Workshop on Fatty Liver and Alcoholic Liver Disease, Chinese Society of Hepatology, Chinese Medical Association; Fatty Liver Expert Committee, Chinese Medical Doctor Association. Guidelines of prevention and treatment for nonalcoholic fatty liver disease: a 2018 update[J]. J Clin Hepatol, 2018, 34( 5): 947- 957. DOI: 10.3969/j.issn.1001-5256.2018.05.007.

    中华医学会肝病学分会脂肪肝和酒精性肝病学组, 中国医师协会脂肪性肝病专家委员会. 非酒精性脂肪性肝病防治指南(2018年更新版)[J]. 临床肝胆病杂志, 2018, 34( 5): 947- 957. DOI: 10.3969/j.issn.1001-5256.2018.05.007.
    [8] CUI L, PENG XM, TANG QJ. Analysis of CTA in head and neck in evaluating carotid stenosis and plaque properties in patients with cerebral infarction[J]. Mod Med Imageology, 2021, 30( 4): 715- 717.

    崔凌, 彭细美, 唐庆健. 头颈部CTA在评估脑梗死患者颈动脉狭窄及斑块性质的价值分析[J]. 现代医用影像学, 2021, 30( 4): 715- 717.
    [9] CHALASANI N, YOUNOSSI Z, LAVINE JE, et al. The diagnosis and management of nonalcoholic fatty liver disease: Practice guidance from the American Association for the Study of Liver Diseases[J]. Hepatology, 2018, 67( 1): 328- 357. DOI: 10.1002/hep.29367.
    [10] LEI F, QIN JJ, SONG XH, et al. The prevalence of MAFLD and its association with atrial fibrillation in a nationwide health check-up population in China[J]. Front Endocrinol(Lausanne), 2022, 13: 1007171. DOI: 10.3389/fendo.2022.1007171.
    [11] DELLA TS. Beyond the X factor: Relevance of sex hormones in NAFLD pathophysiology[J]. Cells, 2021, 10( 9): 2502. DOI: 10.3390/cells10092502.
    [12] LEE CB, KIM J, HAN J, et al. Formyl peptide receptor 2 determines sex-specific differences in the progression of nonalcoholic fatty liver disease and steatohepatitis[J]. Nat Commun, 2022, 13( 1): 578. DOI: 10.1038/s41467-022-28138-6.
    [13] GEORGE ES, FORSYTH A, ITSIOPOULOS C, et al. Practical dietary recommendations for the prevention and management of nonalcoholic fatty liver disease in adults[J]. Adv Nutr, 2018, 9( 1): 30- 40. DOI: 10.1093/advances/nmx007.
    [14] QIN S. LDL and HDL oxidative modification and atherosclerosis[M/OL]//JIANG XC. Lipid transfer in lipoprotein metabolism and cardiovascular disease: Vol. 1276. Singapore: Springer Singapore, 2020: 157- 169[2023-11-08]. https://link.springer.com/10.1007/978-981-15-6082-8_10. DOI: 10.1007/978-981-15-6082-8_10
    [15] SAKURAI Y, KUBOTA N, YAMAUCHI T, et al. Role of insulin resistance in MAFLD[J]. Int J Mol Sci, 2021, 22( 8): 4156. DOI: 10.3390/ijms22084156.
    [16] DUAN YM, PAN XF, LUO JY, et al. Association of inflammatory cytokines with non-alcoholic fatty liver disease[J]. Front Immunol, 2022, 13: 880298. DOI: 10.3389/fimmu.2022.880298.
    [17] SATISH M, SAXENA SK, AGRAWAL DK. Adipokine dysregulation and insulin resistance with atherosclerotic vascular disease: Metabolic syndrome or independent sequelae?[J]. J Cardiovasc Transl Res, 2019, 12( 5): 415- 424. DOI: 10.1007/s12265-019-09879-0.
    [18] MU W, CHENG XF, LIU Y, et al. Potential nexus of non-alcoholic fatty liver disease and type 2 diabetes mellitus: Insulin resistance between hepatic and peripheral tissues[J]. Front Pharmacol, 2019, 9: 1566. DOI: 10.3389/fphar.2018.01566.
    [19] KHAN RS, BRIL F, CUSI K, et al. Modulation of insulin resistance in nonalcoholic fatty liver disease[J]. Hepatology, 2019, 70( 2): 711- 724. DOI: 10.1002/hep.30429.
    [20] BIAN F, YANG XY, XU G, et al. CRP-induced NLRP3 inflammasome activation increases LDL transcytosis across endothelial cells[J]. Front Pharmacol, 2019, 10: 40. DOI: 10.3389/fphar.2019.00040.
    [21] POZNYAK AV, BHARADWAJ D, PRASAD G, et al. Anti-inflammatory therapy for atherosclerosis: Focusing on cytokines[J]. Int J Mol Sci, 2021, 22( 13): 7061. DOI: 10.3390/ijms22137061.
    [22] SHAH PK. Inflammation, infection and atherosclerosis[J]. Trends Cardiovasc Med, 2019, 29( 8): 468- 472. DOI: 10.1016/j.tcm.2019.01.004.
    [23] DURKOVICOVA Z, FAKTOROVA X, JAKABOVICOVA M, et al. Molecular mechanisms in the pathogenesis of metabolically associated fatty liver disease[J]. Bratisl Lek Listy, 2023, 124( 6): 427- 436. DOI: 10.4149/BLL_2023_065.
    [24] KAPIL S, DUSEJA A, SHARMA BK, et al. Small intestinal bacterial overgrowth and toll-like receptor signaling in patients with non-alcoholic fatty liver disease[J]. J Gastroenterol Hepatol, 2016, 31( 1): 213- 221. DOI: 10.1111/jgh.13058.
    [25] YANG LD, DAI YZ, HE H, et al. Integrative analysis of gut microbiota and fecal metabolites in metabolic associated fatty liver disease patients[J]. Front Microbiol, 2022, 13: 969757. DOI: 10.3389/fmicb.2022.969757.
    [26] XU YY, ZHU YD, HU SW, et al. Hepatocyte miR-34a is a key regulator in the development and progression of non-alcoholic fatty liver disease[J]. Mol Metab, 2021, 51: 101244. DOI: 10.1016/j.molmet.2021.101244.
    [27] BADI I, MANCINELLI L, POLIZZOTTO A, et al. MiR-34a promotes vascular smooth muscle cell calcification by downregulating SIRT1(sirtuin 1) and axl(AXL receptor tyrosine kinase)[J]. Arterioscler Thromb Vasc Biol, 2018, 38( 9): 2079- 2090. DOI: 10.1161/ATVBAHA.118.311298.
    [28] GUO YC, ZHOU Y, GAO X, et al. Association between nonalcoholic fatty liver disease and carotid artery disease in a community-based Chinese population: A cross-sectional study[J]. Chin Med J(Engl), 2018, 131( 19): 2269- 2276. DOI: 10.4103/0366-6999.241797.
    [29] TANG CH, GUO L, LI Q, et al. Interpretation on the report of global stroke data 2022[J]. J Diagn Concepts Pract, 2023, 22( 3): 238- 246. DOI: 10.16150/j.1671-2870.2023.03.06.

    唐春花, 郭露, 李琼, 等. 2022年全球卒中数据报告解读[J]. 诊断学理论与实践, 2023, 22( 3): 238- 246. DOI: 10.16150/j.1671-2870.2023.03.06.
    [30] HAO WC, LIU YR, ZHANG JH, et al. Detected condition of carotid artery plaque and its risk factors during physical examination[J]. Clin Misdiagn Misther, 2022, 35( 1): 90- 93. DOI: 10.3969/j.issn.1002-3429.2022.01.021.

    郝文超, 刘艳如, 张婧环, 等. 健康体检颈动脉斑块检出情况及危险因素分析[J]. 临床误诊误治, 2022, 35( 1): 90- 93. DOI: 10.3969/j.issn.1002-3429.2022.01.021.
    [31] SCHINDLER A, SCHINNER R, ALTAF N, et al. Prediction of stroke risk by detection of hemorrhage in carotid plaques: Meta-analysis of individual patient data[J]. JACC Cardiovasc Imaging, 2020, 13( 2 Pt 1): 395- 406. DOI: 10.1016/j.jcmg.2019.03.028.
    [32] JIANG ZM, CHEN YH, ZHANG ZJ, et al. Influence of metabolic associated fatty liver disease on the degree of carotid stenosis[J]. J Clin Hepatol, 2023, 39( 8): 1874- 1879. DOI: 10.3969/j.issn.1001-5256.2023.08.016.

    姜梓萌, 陈宇航, 张志娇, 等. 代谢相关脂肪性肝病对颈动脉狭窄程度的影响[J]. 临床肝胆病杂志, 2023, 39( 8): 1874- 1879. DOI: 10.3969/j.issn.1001-5256.2023.08.016.
    [33] JOSEPHSON SA, BRYANT SO, MAK HK, et al. Evaluation of carotid stenosis using CT angiography in the initial evaluation of stroke and TIA[J]. Neurology, 2004, 63( 3): 457- 460. DOI: 10.1212/01.wnl.0000135154.53953.2c.
    [34] NETUKA D, BELŠÁN T, BROULÍKOVÁ K, et al. Detection of carotid artery stenosis using histological specimens: A comparison of CT angiography, magnetic resonance angiography, digital subtraction angiography and Doppler ultrasonography[J]. Acta Neurochir(Wien), 2016, 158( 8): 1505- 1514. DOI: 10.1007/s00701-016-2842-0.
    [35] JIAO YG, QIN YH, ZHANG ZG, et al. Early identification of carotid vulnerable plaque in asymptomatic patients[J]. BMC Cardiovasc Disord, 2020, 20( 1): 429. DOI: 10.1186/s12872-020-01709-5.
    [36] WEN W, LI H, WANG C, et al. Metabolic dysfunction-associated fatty liver disease and cardiovascular disease: A meta-analysis[J]. Front Endocrinol(Lausanne), 2022, 13: 934225. DOI: 10.3389/fendo.2022.934225.
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  • 收稿日期:  2023-11-27
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