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载脂蛋白E在急性缺血性脑卒中的预测和功能转归评估中的应用

王朋 音大为 何野 胡翀 孙文 朱余友

王朋, 音大为, 何野, 胡翀, 孙文, 朱余友. 载脂蛋白E在急性缺血性脑卒中的预测和功能转归评估中的应用[J]. 中华全科医学, 2024, 22(9): 1475-1478. doi: 10.16766/j.cnki.issn.1674-4152.003662
引用本文: 王朋, 音大为, 何野, 胡翀, 孙文, 朱余友. 载脂蛋白E在急性缺血性脑卒中的预测和功能转归评估中的应用[J]. 中华全科医学, 2024, 22(9): 1475-1478. doi: 10.16766/j.cnki.issn.1674-4152.003662
WANG Peng, YIN Dawei, HE Ye, HU Chong, SUN Wen, ZHU Yuyou. Application value of apolipoprotein E in predicting acute ischemic death and evaluating functional outcomes[J]. Chinese Journal of General Practice, 2024, 22(9): 1475-1478. doi: 10.16766/j.cnki.issn.1674-4152.003662
Citation: WANG Peng, YIN Dawei, HE Ye, HU Chong, SUN Wen, ZHU Yuyou. Application value of apolipoprotein E in predicting acute ischemic death and evaluating functional outcomes[J]. Chinese Journal of General Practice, 2024, 22(9): 1475-1478. doi: 10.16766/j.cnki.issn.1674-4152.003662

载脂蛋白E在急性缺血性脑卒中的预测和功能转归评估中的应用

doi: 10.16766/j.cnki.issn.1674-4152.003662
基金项目: 

国家自然科学基金面上项目 62371433

详细信息
    通讯作者:

    朱余友,E-mail:zhuyuyou2020@126.com

  • 中图分类号: R743.3

Application value of apolipoprotein E in predicting acute ischemic death and evaluating functional outcomes

  • 摘要:   目的  近年来许多研究证明多种疾病与载脂蛋白E(APOE)基因多样性相关,本文旨在探讨APOE基因在颅内血管狭窄引起的急性缺血性卒中的预测价值及评估其预后的作用。  方法  收集2022年1月—2023年12月中国科学技术大学附属第一医院收治的急性缺血性脑卒中(AIS)患者511例,根据是否有颅内动脉狭窄将其分成颅内动脉狭窄(ICAS)组(317例)和非颅内动脉狭窄(NCAS)组(194例)及6个月随访时根据是否携带APOE-ε4将其分为携带ε4基因(213例)组和非携带ε4(298例)组,分析年龄、性别、合并症、血脂、载脂蛋白E(包括等位基因分型)和脂蛋白a的差异,并进行血管壁高分辨率磁共振成像。术后6个月随访患者的功能转归,随访高清血管壁成像结果。  结果  ICAS组的APOE浓度显著低于NCAS组(r=0.481,P < 0.01)。携带APOE-ε4基因的患者中45.54%(97/213)和未携带APOE-ε4基因的患者中16.11%(48/298)在治疗结束6个月随访时预后不良(OR=4.622, 95% CI: 3.512~6.091, P < 0.01)。  结论  血浆APOE水平低是ICAS引起的急性缺血性卒中的高危因素,携带APOE-ε4基因是AIS患者功能预后不良的高危因素。APOE-ε4基因型联合高分辨率血管壁成像在预测急性缺血性卒中发生及评估功能转归方面具有一定的应用价值。

     

  • 图  1  正常颅内动脉血管壁高分辨磁共振图像

    注:A为颅内大脑中动脉及其分支的血管壁原始图像;B为血管壁曲面重建后的图像。

    Figure  1.  High-resolution magnetic resonance imaging of the intracranial arterial vessel wall

    图  2  动脉粥样硬化斑块在磁共振不同序列上的表现

    注:A为弥散图像;B为冠状位高分辨血管壁成像;C为平扫的轴位高分辨血管壁成像;D为增强后轴位高分辨血管壁成像;黄色箭头指示病灶位置。

    Figure  2.  Magnetic resonance plaque characteristics across different sequences

    表  1  ICAS组与NCAS组AIS患者基线特征和生化指标比较

    Table  1.   Comparison of baseline characteristics and biochemical indices between AIS patients in the ICAS and NCAS groups

    组别 例数 年龄(x±s,岁) 性别(男/女,例) 吸烟[例(%)] 糖尿病[例(%)] 高血压[例(%)] 肾功能不全[例(%)] BMI (x±s)
    ICAS 317 65.8±12.5 178/139 189(59.6) 84(26.5) 126(39.7) 22(6.9) 23.5±2.7
    NCAS 194 61.5±12.1 118/76 112(57.7) 49(25.2) 89(45.9) 10(5.2) 23.9±3.0
    统计量 6.021a 5.273b 3.392b 1.181b 0.990b 1.134b 3.572a
    P 0.013 0.399 0.807 0.783 0.343 0.258 0.291
    组别 例数 总胆固醇(x±s, mg/dL) TG (x±s, mg/d) HDL (x±s, mg/d) LDL (x±s, mg/d) Lp(a) (x±s, mg/dL) 携带APOE-ε4 (例) APOE浓度(x±s, μg/mL)
    ICAS 317 184.4±4.4 109.3±23.7 45.7±12.0 118.3±32.8 24.1±4.3 117 38.9±15.7
    NCAS 194 180.2±33.1 118.5±19.9 45.4±12.3 111.5±32.3 21.9±3.7 113 47.8±21.1
    统计量 0.273a 2.493a 1.605a 3.869a 4.736a 1.473b 5.042a
    P 0.096 0.377 0.996 0.095 0.072 0.571 < 0.001
    注:at值,b为χ2值。
    下载: 导出CSV

    表  2  ICAS影响因素的多元回归分析

    Table  2.   Multiple regression analysis to identify factors influencing ICAS

    变量 B SE Waldχ2 P OR 95% CI
    APOE -0.296 0.231 4.203 0.003 1.654 1.353~2.011
    年龄 0.241 0.147 6.272 0.031 1.566 1.122~2.451
    注:各变量均以实际值赋值。
    下载: 导出CSV

    表  3  ICAS的发病风险与APOE浓度相关性

    Table  3.   Correlation between the risk of ICAS and APOE concentration

    组别 分组 OR(95% CI) r P
    Adjust 1 三分位数2(32.7~47.2 μg/mL) 0.642(0.277~1.472) 0.437 < 0.001
    三分位数3(≥47.2 μg/mL) 0.251(0.081~0.573)
    Adjust 2 三分位数2(32.7~47.2 μg/mL) 0.558(0.202~1.594) 0.481 < 0.01
    三分位数3(≥47.2 μg/mL) 0.194(0.084~0.581)
    注:Adjust 1为调整年龄、性别后的结果;Adjust 2为调整年龄、性别、血脂参数后的结果。以三分位数1(<32.7 μg/mL)为参照。
    下载: 导出CSV

    表  4  APOE-ε4携带AIS患者与非APOE4携带AIS患者的基线临床比较

    Table  4.   Baseline clinical comparison of AIS patients with and without APOE-ε4

    组别 例数 年龄(x±s,岁) 性别(男/女) 总胆固醇[M(P25, P75), mg/dL] TG [M(P25, P75), mg/d] HDL [M(P25, P75), mg/d] LDL [M(P25, P75), mg/d]
    携带ε4 213 62.82±12.11 136/77 4.57(1.72, 11.75) 1.51(0.46, 13.91) 1.02(0.55, 3.31) 2.67(0.63, 7.07)
    非携带ε4 298 64.73±12.32 160/138 4.31(1.94, 19.66) 1.38(0.30, 15.55) 1.19(0.08, 2.83) 2.45(0.65, 7.96)
    统计量 3.389a 1.374b 0.297c 2.465c 1.585c 3.743c
    P 0.511 0.533 0.002 0.025 0.722 <0.001
    注:at值, b为χ2值, cZ值。
    下载: 导出CSV

    表  5  6个月卒中预后不良(mRS≥2分)的多变量logistic回归分析

    Table  5.   Multivariable logistic regression analysis of poor stroke prognosis (mRS ≥ 2) at 6 months

    变量 B SE Waldχ2 P OR 95% CI
    年龄 0.507 0.201 12.675 0.031 1.668 1.032~2.015
    性别 1.175 1.241 1.809 0.125 3.238 1.743~9.034
    是否携带ε4 1.531 0.233 28.351 < 0.001 4.622 3.512~6.091
    总胆固醇 1.431 0.822 2.120 0.002 1.539 0.647~2.334
    甘油三酯 2.433 0.713 4.785 0.025 11.393 1.562~21.147
    高密度脂蛋白 1.624 0.917 1.931 0.036 5.073 2.305~6.884
    低密度脂蛋白 0.814 0.253 12.719 < 0.001 2.256 1.524~3.257
    注:自变量中年龄和血脂参数均以实际值赋值;携带ε4基因=1,非
    携带ε4基因=0;男性=1,女性=0。ε4携带与非携带者为对照;性别以
    女性为对照。
    下载: 导出CSV
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  • 收稿日期:  2024-04-04

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