切换至 "中华医学电子期刊资源库"

中华脑血管病杂志(电子版) ›› 2024, Vol. 18 ›› Issue (04) : 317 -322. doi: 10.11817/j.issn.1673-9248.2024.04.004

论著

颈动脉狭窄处剪切率对高同型半胱氨酸血症患者脑梗死的预测价值
刘焕亮1, 崔慧娟1, 曹慧1, 付源1,()   
  1. 1. 150001 哈尔滨,哈尔滨医科大学附属第四医院神经内科
  • 收稿日期:2023-10-23 出版日期:2024-08-01
  • 通信作者: 付源
  • 基金资助:
    黑龙江省自然科学基金(LH2021H036)

The predictive value of shear rate at carotid stenosis for cerebral infarction in patients with hyperhomocysteinemia

Huanliang Liu1, Huijuan Cui1, Hui Cao1, Yuan Fu1,()   

  1. 1. Department of Neurology, the Fourth Affiliated Hospital of Harbin Medical University, Harbin 150001, China
  • Received:2023-10-23 Published:2024-08-01
  • Corresponding author: Yuan Fu
引用本文:

刘焕亮, 崔慧娟, 曹慧, 付源. 颈动脉狭窄处剪切率对高同型半胱氨酸血症患者脑梗死的预测价值[J]. 中华脑血管病杂志(电子版), 2024, 18(04): 317-322.

Huanliang Liu, Huijuan Cui, Hui Cao, Yuan Fu. The predictive value of shear rate at carotid stenosis for cerebral infarction in patients with hyperhomocysteinemia[J]. Chinese Journal of Cerebrovascular Diseases(Electronic Edition), 2024, 18(04): 317-322.

目的

探讨颈动脉狭窄处剪切率对高同型半胱氨酸血症(HHcy)患者脑梗死结局的预测价值。

方法

回顾性纳入2020年12月至2022年12月哈尔滨医科大学附属第四医院神经内科收治的HHcy伴颈动脉狭窄患者237例。根据是否发生脑梗死事件将患者分为脑梗死结局组(150例)及非脑梗死结局组(87例),收集2组患者临床指标及超声参数的数据。采用单因素分析方法(独立样本t检验、Mann-Whitney U检验和Pearson χ2检验)比较2组上述参数的差异,采用多因素Logistic回归分析脑梗死结局的独立危险因素,应用受试者操作特征(ROC)曲线评价相关指标对脑梗死结局的诊断价值。

结果

与非脑梗死结局组比较,脑梗死结局组的血清Hcy水平[(29.39±17.49)μmol/L vs(24.51±10.08)μmol/L]、狭窄处收缩期峰值流速(PSV)[(422.92±138.63)cm/s vs(312.87±98.27)cm/s]、不稳定斑块比例(37.3% vs 9.2%)和剪切率[11 254.76(8800.00,15 700.00)s-1vs 5511.11(4600.00,6720.00)s-1]均较高,狭窄处内径[0.15(0.12,0.19)cm vs 0.22(0.19,0.28)cm]较小,差异具有统计学意义(t=-2.384,P=0.018;t=-6.513,P<0.001;χ2=22.117,P<0.001;Z=-12.625,P<0.001;Z=-8.233,P<0.001)。多因素Logistic回归分析显示,不稳定斑块(OR=5.450,95%CI:2.438~12.186,P<0.001)、狭窄处PSV(OR=1.010,95%CI:1.006~1.013,P<0.001)、剪切率(OR=1.003,95%CI:1.002~1.005,P<0.001))是患者发生脑梗死结局的危险因素。狭窄处PSV、剪切率对患者脑梗死结局有较高的诊断效能,狭窄处PSV、剪切率的截断值分别取328 cm/s和7800 s-1时,对患者脑梗死结局有最佳预测价值,且剪切率的诊断效能优于狭窄处PSV(ROC曲线下面积:0.992 vs 0.754,Z=7.577,P<0.001)。

结论

不稳定斑块、狭窄处PSV、剪切率是HHcy伴颈动脉狭窄患者脑梗死结局的危险因素。其中,剪切率对患者发生脑梗死结局具有最佳预测价值,可作为预测患者发生脑梗死事件的量化指标。

Objective

To investigate the predictive value of shear rate at carotid artery stenosis for the outcome of cerebral infarction in patients with hyperhomocysteinemia (HHcy).

Methods

A total of 237 patients with HHcy and carotid artery stenosis, admitted to the Department of Neurology, the Fourth Affiliated Hospital of Harbin Medical University from December 2020 to December 2022, were retrospectively enrolled. The patients were divided into the cerebral infarction outcome group and the non-cerebral infarction outcome group, based on the presence or absence of cerebral infarction events. Data of clinical indicators and ultrasound parameters for the two groups were collected. Univariate analysis (independent sample t-test, Mann-Whitney U test and Pearson χ2 test) was used to compare the differences in the aforementioned parameters between the two groups. Multivariate Logistic regression was used to analyze the independent risk factors of cerebral infarction outcome. The receiver operating characteristic (ROC) curve was used to evaluate the diagnostic value of relevant indicators for cerebral infarction outcomes.

Results

Compared with the non-cerebral infarction outcome group, the serum Hcy level [(29.39±17.49) μmol/L vs (24.51±10.08) μmol/L], the peak systolic velocity (PSV) at the stenosis [(422.92±138.63) cm/s vs (312.87±98.27) cm/s], the unstable plaque ratio (37.3% vs 9.2%), and shear rate [11 254.76 (8800.00, 15 700.00) s-1vs 5511.11 (4600.00, 6720.00) s-1] were higher. The inner diameter of stenosis [0.15 (0.12, 0.19) cm vs 0.22 (0.19, 0.28) cm] was smaller, and the difference was statistically significant (t=-2.384, P=0.018; t=-6.513, P<0.001; χ2=22.117, P<0.001; Z=-12.625, P<0.001; Z=-8.233, P<0.001). Multivariate Logistic regression analysis showed that unstable plaque (OR=5.450, 95%CI: 2.438-12.186, P<0.001), PSV at stenosis (OR=1.010, 95%CI: 1.006-1.013, P <0.001) and shear rate (OR=1.003, 95%CI: 1.002-1.005, P<0.001) were the risk factors for the outcome of cerebral infarction. PSV and the shear rate at the stenosis have significant diagnostic efficacy for the outcome of cerebral infarction in patients. When the cut-off values of PSV and shear rate at the stenosis are 328 cm/s and 7800 s-1, respectively, they have the best predictive value for the outcome of cerebral infarction in patients, and the diagnostic efficacy of shear rate is significantly better than that of PSV at the stenosis (area under ROC curve: 0.992 vs 0.754, Z=7.577, P<0.001).

Conclusion

Unstable plaque, PSV at stenosis, and shear rate are risk factors for cerebral infarction outcome in HHcy patients with carotid artery stenosis. Among them, the shear rate demonstrates the greatest predictive value for the outcome of cerebral infarction. It can be used as a quantitative indicator to predict the occurrence of cerebral infarction these patients.

表1 HHcy伴颈动脉狭窄不同结局组患者临床资料的比较
临床资料 非脑梗死结局组(n=87) 脑梗死结局组(n=150) 统计值 P
年龄(岁, 68.94±9.11 68.85±9.15 t=0.078 0.938
性别[例(%)] χ2=0.449 0.503
67(77.0) 121(80.7)
20(23.0) 29(19.3)
高血压史[例(%)] 32(36.8) 72(48.0) χ2=2.814 0.093
心房颤动史[例(%)] 15(17.2) 34(22.7) χ2=0.988 0.320
吸烟史[例(%)] 16(18.4) 38(25.3) χ2=1.509 0.219
体质量指数(kg/m2 23.82±3.52 23.05±2.91 t=1.802 0.073
血糖(mmol/L, 6.11±2.57 6.17±2.00 t=-0.213 0.831
总胆固醇(mmol/L, 4.88±1.26 5.01±1.19 t=-0.814 0.416
甘油三酯(mmol/L, 1.76±1.07 1.78±1.34 t=-0.088 0.930
高密度脂蛋白(mmol/L, 1.07±0.24 1.05±0.22 t=0.832 0.406
低密度脂蛋白(mmol/L, 2.97±0.98 3.14±0.98 t=-1.302 0.194
血清Hcy(μmol/L, 24.51±10.08 29.39±17.49 t=-2.384 0.018
狭窄血管[例(%)] χ2=0.055 0.814
颈内动脉 30(34.5) 54(36.0)
颈动脉球部 57(65.5) 96(64.0)
狭窄部位[例(%)] χ2=0.045 0.832
左侧 43(49.4) 72(48.0)
右侧 44(50.6) 78(52.0)
狭窄处PSV(cm/s, 312.87±98.27 422.92±138.63 t=-6.513 <0.001
狭窄处内径[cm,MQR)] 0.22(0.19,0.28) 0.15(0.12,0.19) Z=-8.233 <0.001
不稳定斑块[例(%)] χ2=22.117 <0.001
8(9.2) 56(37.3)
79(90.8) 94(62.7)
剪切率[s-1MQR)] 5511.11(4600.00,6720.00) 11 254.76(8800.00,15 700.00) Z=-12.625 <0.001
表2 HHcy伴颈动脉狭窄患者脑梗死结局的独立危险因素分析
图1 狭窄处收缩期峰值流速及剪切率预测脑梗死的受试者操作特征曲线
表3 狭窄处PSV及剪切率对脑梗死结局的诊断效能
1
Zhang P, Xie X, Zhang, Y. Associations between homocysteine and B vitamins and stroke: a cross-sectional study [J]. Front Neurol, 2023, 14: 1184141.
2
Xu L, Zhang H, Wang Y, et al. FABP4 activates the JAK2/STAT2 pathway via Rap1a in the homocysteine-induced macrophage inflammatory response in ApoE-/- mice atherosclerosis [J]. Lab Invest, 2022, 102(1): 25-37.
3
Rabelo NN, Telles JPM, Pipek LZ, et al. Homocysteine is associated with higher risks of ischemic stroke: a systematic review and meta-analysis [J]. PLoS One, 2022, 17(10): e0276087.
4
钟旗, 蓝香琳, 唐革秀, 等. 脑梗死患者同型半胱氨酸与颈动脉内膜中层厚度的关系研究 [J]. 中国卒中杂志, 2019, 14(6): 568-572.
5
李秦鹏, 王其涛, 朱媛媛, 等. 颈动脉彩色多普勒超声、颈部CT血管成像及脑部CT灌注成像在脑梗死并发颈动脉狭窄患者中的应用研究 [J/OL]. 中华脑血管病杂志(电子版), 2023, 17(5): 482-488.
6
Hariri N, Russell T, Kasper G, et al. Shear rate is a better marker of symptomatic ischemic cerebrovascular events than velocity or diameter in severe carotid artery stenosis [J]. J Vasc Surg, 2019, 69(2): 448-452.
7
白艳, 董秋梅, 王雄耀. 颈动脉粥样硬化性缺血性卒中风险评估的研究进展 [J/OL]. 中华脑血管病杂志(电子版), 2022, 16(6): 439-442.
8
Portillo F, Vázquez J, Pajares MA. Protein-protein interactions involving enzymes of the mammalian methionine and homocysteine metabolism [J]. Biochimie, 2020, 173: 33-47.
9
Guieu R, Ruf J, Mottola G. Hyperhomocysteinemia and cardiovascular diseases [J]. Ann Biol Clin, 2022, 80(1): 7-14.
10
Esse R, Barroso M, Tavares de Almeida I, et al. The contribution of homocysteine metabolism disruption to endothelial dysfunction: state-of-the-art [J]. Int J Mol Sci, 2019, 20(4): 867.
11
Balint B, Jepchumba VK, Guéant JL, et al. Mechanisms of homocysteine-induced damage to the endothelial, medial and adventitial layers of the arterial wall [J]. Biochimie, 2020, 173: 100-106.
12
Zhang T, Jiang Y, Zhang S, et al. The association between homocysteine and ischemic stroke subtypes in Chinese: a meta-analysis [J]. Medicine, 2020, 99(12): e19467.
13
Cao L, Guo Y, Zhu Z. Study of the inflammatory mechanisms in hyperhomocysteinemia on large-artery atherosclerosis based on hypersensitive C-reactive protein-a study from southern China [J]. J Stroke Cerebrovasc Dis, 2019, 28(7): 1816-1823.
14
Zhang N, Zhu L, Wu X, et al. The regulation of Ero1-alpha in homocysteine-induced macrophage apoptosis and vulnerable plaque formation in atherosclerosis [J]. Atherosclerosis, 2021, 334: 39-47.
15
Momin M, Fan F, Yang Y, et al. Additive effect between homocysteine and low-density-lipoprotein cholesterol upon incidence of novel carotid plaque formation: data from a Chinese community-based cohort [J]. BMC Cardiovasc Disord, 2023, 23(1): 332.
16
Soinio M, Marniemi J, Laakso M, et al. Elevated plasma homocysteine level is an independent predictor of coronary heart disease events in patients with type 2 diabetes mellitus [J]. Ann Intern Med, 2004, 140(2): 94-100.
17
Wu W, Guan Y, Xu K, et al. Plasma homocysteine levels predict the risk of acute cerebral infarction in patients with carotid artery lesions [J]. Mol Neurobiol, 2016, 53(4): 2510-2517.
18
Goudot G, Bellomo TR, Gaston B, et al. Wall shear rate and energy loss coefficient measures using conventional Doppler ultrasound do not predict carotid plaque progression [J]. Vasa, 2023, 52(4): 249-256.
19
Casa LD, Deaton DH, Ku DN. Role of high shear rate in thrombosis [J]. J Vasc Surg, 2015, 61(4): 1068-1080.
20
Bajraktari A, Bytyçi I, Henein MY. High coronary wall shear stress worsens plaque vulnerability: a systematic review and meta-analysis [J]. Angiology, 2021, 72(8): 706-714.
21
Espina JA, Cordeiro MH, Milivojevic M, et al. Response of cells and tissues to shear stress [J]. J Cell Sci, 2023, 136(18): jcs260985.
22
Chen S, Zhang H, Hou Q, et al. Multiscale modeling of vascular remodeling induced by wall shear stress [J]. Front Physiol, 2022, 12: 808999.
23
Ma W, Cheng Z, Chen X, et al. Multiphase flow hemodynamic evaluation of vertebral artery stenosis lesions and plaque stability [J]. Biomed Mater Eng, 2023, 34(3): 247-260.
24
Cheng H, Zhong W, Wang L, et al. Effects of shear stress on vascular endothelial functions in atherosclerosis and potential therapeutic approaches [J]. Biomed Pharmacother, 2023, 158: 114198.
25
Yin J, Yu C, Liu H, et al. A model to predict unstable carotid plaques in population with high risk of stroke [J]. BMC Cardiovasc Disord, 2020, 20(1): 164.
[1] 刘欢颜, 华扬, 贾凌云, 赵新宇, 刘蓓蓓. 颈内动脉闭塞病变管腔结构和血流动力学特征分析[J]. 中华医学超声杂志(电子版), 2023, 20(08): 809-815.
[2] 梁章荣, 梁伟伟, 周妙, 黄尚明, 雷俊娜, 刘亚丽, 李旷怡, 张英俭. 急性脑梗死并发吸入性肺炎的危险因素及预后分析[J]. 中华肺部疾病杂志(电子版), 2024, 17(02): 268-271.
[3] 崔鑫, 张鹏, 古同男, 赵艳芝. 舒巴坦对局灶性脑缺血再灌注大鼠脑组织损伤的影响[J]. 中华神经创伤外科电子杂志, 2023, 09(06): 333-337.
[4] 赵倩, 刘文超, 李玺琳, 章邱东. 老年急性脑梗死诱发胃肠损伤的风险因素分析及模型构建[J]. 中华消化病与影像杂志(电子版), 2024, 14(03): 213-217.
[5] 窦丽辉, 李鹏, 窦静敏, 王贵玲. 辨证针灸联合双歧杆菌三联活菌胶囊治疗脑梗死恢复期脾胃虚弱证功能性消化不良的疗效[J]. 中华消化病与影像杂志(电子版), 2024, 14(03): 218-221.
[6] 南朝涛, 陈建, 王书鸿, 李刚, 郝俊杰. 血清细胞因子预测急性脑梗死后肺炎的价值[J]. 中华卫生应急电子杂志, 2024, 10(01): 16-20.
[7] 张顺, 杨希孟, 陆军, 王海峰, 张东. 是否留置术区引流管对颈动脉内膜切除术围手术期安全性的影响[J]. 中华脑血管病杂志(电子版), 2024, 18(03): 210-214.
[8] 刘晓梅, 罗永梅, 傅瑜. 基于信息化老年综合评估的多学科管理护理模式在脑梗死患者中的应用效果[J]. 中华脑血管病杂志(电子版), 2024, 18(03): 255-264.
[9] 于乐林, 尚海龙, 杜红娣, 王莺, 王一超, 徐长贺, 叶娟, 赵世伟, 郑芳慧, 沈慧, 沈海林. 基于CT平扫的影像组学特征预测急性大脑中动脉闭塞机械取栓术后造影剂外渗的价值[J]. 中华脑血管病杂志(电子版), 2024, 18(03): 215-223.
[10] 李洪远, 董书宇, 鹿寒冰. 血清Hcy、sdLDL-C、Lp-PLA2水平对短暂性脑缺血发作进展为急性脑梗死的预测效能[J]. 中华脑血管病杂志(电子版), 2024, 18(01): 40-48.
[11] 陈绚, 欧宁江, 叶洁梅, 邓瑾倩. 纤维蛋白原β链启动因子基因多态性与颈动脉粥样硬化斑块稳定性的关联性研究[J]. 中华脑血管病杂志(电子版), 2024, 18(01): 33-39.
[12] 张华纲, 王小倩, 张晨, 傅瑜, 李小刚, 樊东升, 王悦, 石菊, 毕书红. 急性脑梗死患者住院费用的趋势及其影响因素的研究——基于北京市某三甲医院的分析[J]. 中华脑血管病杂志(电子版), 2023, 17(06): 557-564.
[13] 朱敏, 李法强. 血清GFAP、UCH-L1联合VILIP-1水平对急性脑梗死神经功能预后不良的预测研究[J]. 中华脑血管病杂志(电子版), 2023, 17(05): 452-457.
[14] 李秦鹏, 王其涛, 朱媛媛, 周琦, 刘笑言, 许勇. 颈动脉彩色多普勒超声、颈部CT血管成像及脑部CT灌注成像在脑梗死并发颈动脉狭窄患者中的应用研究[J]. 中华脑血管病杂志(电子版), 2023, 17(05): 482-488.
[15] 邱甜, 杨苗娟, 胡波, 郭毅, 何奕涛. 亚低温治疗脑梗死机制的研究进展[J]. 中华脑血管病杂志(电子版), 2023, 17(05): 518-521.
阅读次数
全文


摘要