留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码
x

超声检测多部位内脏脂肪与脑卒中的相关性研究

汤敏 闫天慧 杨倩 孙慧 张霞

汤敏, 闫天慧, 杨倩, 孙慧, 张霞. 超声检测多部位内脏脂肪与脑卒中的相关性研究[J]. 分子影像学杂志, 2024, 47(3): 256-263. doi: 10.12122/j.issn.1674-4500.2024.03.06
引用本文: 汤敏, 闫天慧, 杨倩, 孙慧, 张霞. 超声检测多部位内脏脂肪与脑卒中的相关性研究[J]. 分子影像学杂志, 2024, 47(3): 256-263. doi: 10.12122/j.issn.1674-4500.2024.03.06
TANG Min, YAN Tianhui, YANG Qian, SUN Hui, ZHANG Xia. A preliminary study of the correlation between ultrasound detection of multi site visceral fat and cerebral ischemic stroke[J]. Journal of Molecular Imaging, 2024, 47(3): 256-263. doi: 10.12122/j.issn.1674-4500.2024.03.06
Citation: TANG Min, YAN Tianhui, YANG Qian, SUN Hui, ZHANG Xia. A preliminary study of the correlation between ultrasound detection of multi site visceral fat and cerebral ischemic stroke[J]. Journal of Molecular Imaging, 2024, 47(3): 256-263. doi: 10.12122/j.issn.1674-4500.2024.03.06

超声检测多部位内脏脂肪与脑卒中的相关性研究

doi: 10.12122/j.issn.1674-4500.2024.03.06
基金项目: 安徽省中央引导地方专项项目
详细信息
    作者简介:

    汤敏,在读硕士研究生,E-mail: tang20210831@163.com

    通讯作者:

    张霞,硕士,主任医师,E-maily: yjsusd@163.com

A preliminary study of the correlation between ultrasound detection of multi site visceral fat and cerebral ischemic stroke

  • 摘要:   目的  应用超声检测多部位内脏脂肪,评估其与缺血性脑卒中(CIS)的关联,识别相关风险因素,为CIS的早期诊断和预防提供新的视角。  方法  连续纳入2022年9月~2023年9月在皖南医学院弋矶山医院神经内科确诊为缺血性脑卒中的患者89例及健康志愿者90例,分别作为卒中组和对照组,采用超声技术测量多个部位内脏脂肪参数并进行组间比较。  结果  两组在中国人内脏脂肪指数、颈动脉内中膜厚度(IMT)、心外膜脂肪组织(EAT)、腹膜前脂肪厚度、右肾后周脂肪厚度、内脏脂肪体积及左右肾脂肪囊厚度等多个内脏脂肪参数的差异均有统计学意义(P < 0.05),其中EAT的OR值为2.258(1.805~2.834),明显高于其他指标。多因素Logistic回归分析显示,IMT(OR=1.004,P=0.013)、EAT(OR=4.040,P < 0.001)对CIS的影响有统计学意义;ROC曲线分析显示IMT、EAT的曲线下面积分别为0.708、0.882,有较高的敏感度,确定其临界值分别为1275 μm、17.54 mm。  结论  超声测量多部位内脏脂肪参数与CIS有关,IMT、EAT是CIS的独立影响因素,IMT、EAT值越大患CIS的风险越高,其中EAT的诊断效能更高;当超声检测的EAT超过临界值时,临床可以通过早期指导或干预以降低卒中的发病风险。

     

  • 图  1  ROC曲线结果

    Figure  1.  Results of ROC curve

    图  2  IMT对照组(A)和卒中组(B)对比

    Figure  2.  Comparison between IMT control group (A) and stroke group (B)

    图  3  EMT对照组(A)和卒中组(B)对比

    Figure  3.  Comparison between EMT control group (A) and stroke group (B)

    图  4  EAT对照组(A)和卒中组(B)对比

    Figure  4.  Comparison between EAT control group(A) and stroke group(B)

    图  5  PPFT对照组(A)和卒中组(B)对比

    Figure  5.  Comparison between PPFT control group (A) and stroke group (B)

    图  6  SCFT对照组(A)和卒中组(B)对比

    Figure  6.  Comparison between SCFT control group (A) and stroke group (B)

    图  7  VFT对照组(A)和卒中组(B)对比

    Figure  7.  Comparison between VFT control group (A) and stroke group (B)

    图  8  PRPFT对照组(A)和卒中组(B)对比

    Figure  8.  Comparison between PRPFT control group (A) and stroke group (B)

    图  9  肾周脂肪囊厚度对照组(A)和卒中组(B)对比

    Figure  9.  Comparison between perirenal fat sac thickness control group (A) and stroke group(B)

    表  1  两组一般资料比较

    Table  1.   Comparison of general data of the two groups

    Influence factors Control group(n=90) Stroke group (n=89) t2/Z P
    Gender (Male/Female, n) 58/32 63/26 0.822 0.365
    Age [years, M(P25, P75)] 59.00(55.50,69.50) 63.00(64.00,69.50) -1.792 0.073
    BMI [kg/m2, M(P25, P75)] 23.81(21.60, 24.66) 24.10(22.50,24.80) -0.975 0.330
    Waist [cm, M(P25, P75)] 86.00(82.00, 89.00) 87.00(83.00,90.00) -1.690 0.091
    High D-Dimer (No/Yes, n) 75/15 68/21 1.337 0.246
    Hypertension (No/Yes, n) 43/47 36/53 0.975 0.324
    Diabetes (No/Yes, n) 78/12 73/16 0.731 0.392
    Total cholesterol [mmol/L, M(P25, P75)] 4.32(3.94,4.79) 4.07(3.39,4.79) -1.480 0.139
    Triglyceride [mmol/L, M(P25, P75)] 1.23(0.85, 1.81) 1.37(1.11, 1.70) -1.650 0.099
    HDL-cholesterol [mmol/L, M(P25, P75)] 1.25(1.07,1.45) 1.15(0.92,1.49) -1.903 0.057
    LDL-cholesterol [mmol/L, M(P25, P75)] 2.38(1.91,2.82) 2.27(1.87,2.92) -0.014 0.988
    CVAI (Mean±SD) 96.10±19.42 107.33±19.18 3.891 < 0.001
    CVAI: Chinese visceral adiposity index
    下载: 导出CSV

    表  2  两组测量指标比较

    Table  2.   Comparison of measurement factor between two groups

    Influence factors Control group (n=90) Stroke group (n=89) t/Z P
    IMT (μm) 1205.00(955.00,1270.00) 1280.00(1220.00,1345.00) -4.818 < 0.001
    EMT (mm) 0.81(0.72, 0.90) 0.80(0.70,0.90) -0.593 0.553
    EAT (mm) 15.97(15.29, 16.80) 20.20(17.85, 21.34) -8.827 < 0.001
    SCFT (mm) 12.25(10.98, 12.80) 12.00(10.85,13.35) -0.340 0.729
    PPFT (mm) 12.40(10.98, 13.23) 12.90(11.80, 14.00) -3.114 0.002
    VFT (mm) 55.37±8.29 57.60±9.18 1.700 0.091
    PRPFT (mm) 4.80(4.20, 5.70) 6.50(5.20,7.90) -6.150 < 0.001
    VFT/SCFT 4.61(4.32, 5.11) 4.83(4.25,5.32) -0.887 0.375
    VAT (mm3) 139.64±11.53 149.58±13.32 5.344 < 0.001
    Right renal fat sac (mm) 39.60(36.30,43.30) 43.20(36.85,51.50) -3.367 < 0.001
    Left renal fat sac (mm) 39.10(35.90, 42.60) 41.10(36.40, 47.45) -2.425 0.015
    IMT: Intima- media thickness; EMT: Extra- media thickness; EAT: Epicardial adipose tissue; SCFT: Subcutaneous fat thickness; PPFT: Preperitoneal fat thickness; VFT: Visceral fat thickness; PRPFT: Posterior right perinephric fat thickness; VAT: Visceral adipose tissue; .
    下载: 导出CSV

    表  3  影响因素单因素Logistic回归分析

    Table  3.   Univariate Logistic regression analysis of the influencing factors

    Influence factors β Standard error Wald χ2 OR (95% CI) P
    IMT (μm) 0.005 0.001 19.583 1.005(1.003-1.007) < 0.001
    EAT (mm) 0.814 0.114 50.950 2.258(1.805-2.834) < 0.001
    PPFT (mm) 0.358 0.102 12.238 1.431(1.171-1.749) < 0.001
    PRPFT (mm) 0.805 0.137 34.382 2.238(1.710-2.929) < 0.001
    VAT (mm3) 0.063 0.013 22.227 1.065(1.037-1.093) < 0.001
    Right perirenal adipose sac (mm) 0.080 0.022 13.391 1.083(1.038-1.130) < 0.001
    Left perirenal adipose sac (mm) 0.059 0.024 6.347 1.061(1.013-1.111) 0.012
    CVAI 0.030 0.008 13.110 1.031(1.014-1.048) < 0.001
    下载: 导出CSV

    表  4  影响因素多因素Logistic回归分析

    Table  4.   Multivariate Logistic regression analysis of the influencing factors

    Influence factors β Standard error Wald χ2 OR (95% CI) P
    IMT (μm) 0.004 0.001 6.138 1.004(1.001-1.007) 0.013
    EAT (mm) 1.396 0.252 30.586 4.040(2.463-6.626) < 0.001
    PPFT (mm) -0.088 0.217 0.165 0.916(0.599-1.400) 0.685
    PRPFT (mm) 0.447 0.294 2.309 1.564(0.878-2.786) 0.129
    VAT (mm3) -0.035 0.039 0.812 0.966(0.89-1.042) 0.367
    Right perirenal adipose sac (mm) -0.097 0.057 2.839 0.908(0.812-1.108) 0.092
    Left perirenal adipose sac (mm) -0.088 0.059 2.192 0.916(0.815-1.029) 0.139
    CVAI -0.025 0.017 2.177 0.976(0.944-1.008) 0.140
    下载: 导出CSV
  • [1] 王陇德, 彭斌, 张鸿祺, 等. 《中国脑卒中防治报告2020》概要[J]. 中国脑血管病杂志, 2022, 19(2): 136-44. doi: 10.3969/j.issn.1672-5921.2022.02.011
    [2] Feske SK. Ischemic stroke[J]. Am J Med, 2021, 134(12): 1457-64. doi: 10.1016/j.amjmed.2021.07.027
    [3] Potter TBH, Tannous J, Vahidy FS. A contemporary review of epidemiology, risk factors, etiology, and outcomes of premature stroke[J]. Curr Atheroscler Rep, 2022, 24(12): 939-48. doi: 10.1007/s11883-022-01067-x
    [4] Yamashiro K, Tanaka R, Tanaka Y, et al. Visceral fat accumulation is associated with cerebral small vessel disease[J]. Eur J Neurol, 2014, 21(4): 667-73. doi: 10.1111/ene.12374
    [5] Koenen M, Hill MA, Cohen P, et al. Obesity, adipose tissue and vascular dysfunction[J]. Circ Res, 2021, 128(7): 951-68. doi: 10.1161/CIRCRESAHA.121.318093
    [6] Kim JH, Choi KH, Kang KW, et al. Impact of visceral adipose tissue on clinical outcomes after acute ischemic stroke[J]. Stroke, 2019, 50(2): 448-54. doi: 10.1161/STROKEAHA.118.023421
    [7] Jung CH, Kim BY, Kim KJ, et al. Contribution of subcutaneous abdominal fat on ultrasonography to carotid atherosclerosis in patients with type 2 diabetes mellitus[J]. Cardiovasc Diabetol, 2014, 13: 67. doi: 10.1186/1475-2840-13-67
    [8] Haberka M, Kubicius A, Starzak M, et al. Adiposity, fat depots and the prediction of stroke[J]. Cardiol J, 2023, 30(5): 810-6. doi: 10.5603/CJ.a2021.0134
    [9] 中华医学会神经病学分会, 中华医学会神经病学分会脑血管病学组. 中国急性缺血性脑卒中诊治指南2014[J]. 中华神经科杂志, 2015, 48(4): 246-57. doi: 10.3760/cma.j.issn.1006-7876.2015.04.002
    [10] Xia MF, Chen Y, Lin HD, et al. A indicator of visceral adipose dysfunction to evaluate metabolic health in adult Chinese[J]. Sci Rep, 2016, 6: 38214. doi: 10.1038/srep38214
    [11] Rallidis LS, Baroutsi K, Zolindaki M, et al. Visceral adipose tissue is a better predictor of subclinical carotid atherosclerosis compared with waist circumference[J]. Ultrasound Med Biol, 2014, 40(6): 1083-8. doi: 10.1016/j.ultrasmedbio.2013.12.017
    [12] Roever LS, Resende ES, Diniz ALD, et al. Abdominal obesity and association with atherosclerosis risk factors: the uberlândia heart study[J]. Medicine, 2016, 95(11): e1357. doi: 10.1097/MD.0000000000001357
    [13] Hirooka M, Kumagi T, Kurose K, et al. A technique for the measurement of visceral fat by ultrasonography: comparison of measurements by ultrasonography and computed tomography[J]. Intern Med Tokyo Jpn, 2005, 44(8): 794-9. doi: 10.2169/internalmedicine.44.794
    [14] Parisi V, Petraglia L, Formisano R, et al. Validation of the echocardiographic assessment of epicardial adipose tissue thickness at the Rindfleisch fold for the prediction of coronary artery disease[J]. Nutr Metab Cardiovasc Dis, 2020, 30(1): 99-105. doi: 10.1016/j.numecd.2019.08.007
    [15] Haberka M, Gąsior Z. A carotid extra- media thickness, PATIMA combined index and coronary artery disease: comparison with well-established indexes of carotid artery and fat depots[J]. Atherosclerosis, 2015, 243(1): 307-13. doi: 10.1016/j.atherosclerosis.2015.09.022
    [16] Li CR, Spallanzani RG, Mathis D. Visceral adipose tissue Tregs and the cells that nurture them[J]. Immunol Rev, 2020, 295(1): 114-25. doi: 10.1111/imr.12850
    [17] Kawai T, Autieri MV, Scalia R. Adipose tissue inflammation and metabolic dysfunction in obesity[J]. Am J Physiol Cell Physiol, 2021, 320(3): C375-91. doi: 10.1152/ajpcell.00379.2020
    [18] Cui CC, He CY, Sun QC, et al. Association between visceral adiposity index and incident stroke: data from the China Health and Retirement Longitudinal Study[J]. Nutr Metab Cardiovasc Dis, 2022, 32(5): 1202-9. doi: 10.1016/j.numecd.2022.01.031
    [19] Wang FH, Meng LY, Yu TY, et al. Associations of abdominal visceral fat content and plasma adiponectin level with intracranial atherosclerotic stenosis: a cross- sectional study[J]. Front Neurol, 2022, 13: 893401. doi: 10.3389/fneur.2022.893401
    [20] Cosansu K, Yilmaz S. Is epicardial fat thickness associated with acute ischemic stroke in patients with atrial fibrillation?[J]. J Stroke Cerebrovasc Dis, 2020, 29(7): 104900. doi: 10.1016/j.jstrokecerebrovasdis.2020.104900
    [21] Holm PH, Hindsø L, Olsen KB, et al. Stereological estimation of myocardial fat and its associations with obesity, epicardial, and visceral adipose tissue[J]. Cells, 2022, 11(19): 3160. doi: 10.3390/cells11193160
    [22] West HW, Siddique M, Williams MC, et al. Deep- learning for epicardial adipose tissue assessment with computed tomography: implications for cardiovascular risk prediction[J]. JACC Cardiovasc Imaging, 2023, 16(6): 800-16. doi: 10.1016/j.jcmg.2022.11.018
    [23] Jin SQ, Zhang C, Zhang Y, et al. Differential value of intima thickness in ischaemic stroke due to large- artery atherosclerosis and small-vessel occlusion[J]. J Cell Mol Med, 2021, 25(19): 9427-33. doi: 10.1111/jcmm.16884
    [24] Koeder C, Hahn A, Englert H. Effect of a 6-month controlled lifestyle intervention on common carotid intima- media thickness [J]. J Nutr Health Aging, 2021, 25(7): 869-77. doi: 10.1007/s12603-021-1628-0
    [25] Liu KH, Kong APS, Chan JCN, et al. Sonographic measurement of mesenteric fat thickness is a better predictor of aortic stiffness compared with conventional obesity indexes[J]. Ultrasound Med Biol, 2023, 49(2): 599-606. doi: 10.1016/j.ultrasmedbio.2022.10.016
    [26] Liu ZY, Huang Q, Deng B, et al. Elevated Chinese visceral adiposity index increases the risk of stroke in Chinese patients with metabolic syndrome[J]. Front Endocrinol, 2023, 14: 1218905. doi: 10.3389/fendo.2023.1218905
    [27] Liu BX, Sun W, Kong XQ. Perirenal fat: a unique fat pad and potential target for cardiovascular disease[J]. Angiology, 2019, 70 (7): 584-93. doi: 10.1177/0003319718799967
    [28] Hazem M, Ezzat M, Elsamman M, et al. Non-invasive prediction of coronary artery disease by multiple abdominal fat and anthropometric indices: revisit[J]. Int J Gen Med, 2021, 14: 387-98. doi: 10.2147/IJGM.S294331
    [29] Zhao WH, Ma XT, Ju JC, et al. Association of visceral adiposity index with asymptomatic intracranial arterial stenosis: a population-based study in Shandong, China[J]. Lipids Health Dis, 2023, 22 (1): 64. doi: 10.1186/s12944-023-01831-1
    [30] Chang YH, Zhang LL, Li YD, et al. Derivation and validation of a new visceral adiposity index for predicting short-term mortality of patients with acute ischemic stroke in a Chinese populationv[J]. Brain Sci, 2023, 13(2): 297. doi: 10.3390/brainsci13020297
    [31] Hazem M, Elsamman M, Bazeed S, et al. Noninvasive prediction of carotid artery atherosclerosis by multiple abdominal fat indices measured via ultrasonography[J]. Ultrasonography, 2021, 40(3): 366-77. doi: 10.14366/usg.20109
  • 加载中
图(9) / 表(4)
计量
  • 文章访问数:  24
  • HTML全文浏览量:  10
  • PDF下载量:  2
  • 被引次数: 0
出版历程
  • 收稿日期:  2024-01-08
  • 网络出版日期:  2024-04-17
  • 刊出日期:  2024-03-20

目录

    /

    返回文章
    返回

    关于《分子影像学杂志》变更刊期通知

    各位专家、作者、读者:

    为了缩短出版时滞,促进科研成果的快速传播,我刊自2024年1月起,刊期由双月刊变更为月刊。本刊主要栏目有:基础研究、临床研究、技术方法、综述等。

    感谢各位专家、作者、读者长期以来对我刊的支持与厚爱!

    南方医科大学学报编辑部

    《分子影像学杂志》

    2023年12月27日