红细胞分布宽度与急性冠状动脉综合征患者分层斑块的相关性研究

于泽宁, 陈清杰, 杨毅宁. 红细胞分布宽度与急性冠状动脉综合征患者分层斑块的相关性研究[J]. 临床心血管病杂志, 2023, 39(9): 681-687. doi: 10.13201/j.issn.1001-1439.2023.09.006
引用本文: 于泽宁, 陈清杰, 杨毅宁. 红细胞分布宽度与急性冠状动脉综合征患者分层斑块的相关性研究[J]. 临床心血管病杂志, 2023, 39(9): 681-687. doi: 10.13201/j.issn.1001-1439.2023.09.006
YU Zening, CHEN Qingjie, YANG Yining. Correlation between red blood cell distribution and layered plaques in patients with acute coronary syndrome[J]. J Clin Cardiol, 2023, 39(9): 681-687. doi: 10.13201/j.issn.1001-1439.2023.09.006
Citation: YU Zening, CHEN Qingjie, YANG Yining. Correlation between red blood cell distribution and layered plaques in patients with acute coronary syndrome[J]. J Clin Cardiol, 2023, 39(9): 681-687. doi: 10.13201/j.issn.1001-1439.2023.09.006

红细胞分布宽度与急性冠状动脉综合征患者分层斑块的相关性研究

  • 基金项目:
    新疆维吾尔自治区高校科研计划项目(No:XJEDU2021I015)
详细信息

Correlation between red blood cell distribution and layered plaques in patients with acute coronary syndrome

More Information
  • 目的 基于光学相干断层成像技术(OCT)探讨红细胞分布宽度(RDW)与急性冠状动脉综合征(ACS)患者冠状动脉(冠脉)分层斑块的相关性。方法 选取2020年1月—2023年1月于新疆医科大学第一附属医院行冠脉造影(CAG)和造影后即刻对罪犯血管行OCT检查并确诊为ACS的患者140例为研究对象。根据OCT图像结果,将患者分为分层斑块组66例和非分层斑块组74例。比较两组基线资料、实验室数据以及OCT图像。采用Spearman检验分析RDW水平与斑块破裂、薄纤维帽粥样硬化斑块(TCFA)的相关性。采用单因素及多因素logistic回归分析筛选分层斑块的危险因素。采用受试者工作特征(ROC)曲线评估RDW对冠脉分层斑块的诊断效能。结果 与非分层斑块组比较,分层斑块组高密度脂蛋白胆固醇(HDL-C)水平显著降低[(1.01±0.21) mmol/L vs (0.89±0.25) mmol/L,P=0.006],RDW水平显著升高[(12.52±0.55)% vs (13.30±1.04),P < 0.001]。OCT检查结果显示,分层斑块组巨噬细胞分级、钙化小结检出率(13.6% vs 4.1%)、血栓率(19.7% vs 5.4%)、狭窄率(80% vs 75%)均显著高于非分层斑块组(均P < 0.05)。相关性分析显示,RDW与TCFA、斑块破裂均呈正相关(r=0.565、0.430,均P < 0.001)。多因素logistic回归分析显示,男性(OR=5.000,95%CI:1.557~16.052,P=0.007)、RDW(OR=5.601,95%CI:2.738~11.458,P=0.001)、HDL-C(OR=27.565,95%CI:3.800~199.941,P=0.001)是ACS患者罪犯血管存在分层斑块的独立危险因素。ROC曲线分析发现,RDW 13.05%是预测罪犯血管分层斑块的临界值,灵敏度和特异度分别为49.1%和83.9%。结论 分层斑块与斑块易损特征相关。RDW与斑块破裂、TCFA存在相关性,是ACS患者罪犯血管分层斑块的独立危险因素。
  • 加载中
  • 图 1  不同斑块的OCT图像

    Figure 1.  OCT images of different types of plaques

    图 2  RDW预测ACS患者分层斑块的ROC曲线

    Figure 2.  ROC curve of RDW in predicting layered plaques in ACS patients

    表 1  非分层斑块组和分层斑块组基线特征比较

    Table 1.  Comparison of baseline characteristics between the non-layered and layered plaque groups 例(%), X±S

    项目 非分层斑块组(74例) 分层斑块组(66例) P
    年龄/岁 59.73±10.06 59.77±11.98 0.928
    男性 55(74.3) 54(81.8) 0.286
    高血压 43(58.1) 42(63.6) 0.504
    2型糖尿病 20(27.0) 16(24.2) 0.707
    冠心病家族史 18(24.3) 15(22.7) 0.790
    饮酒史 19(25.7) 24(36.4) 0.171
    吸烟史 35(47.3) 31(47.0) 0.969
    BMI/(kg/m2) 26.41±3.60 26.50±2.69 0.860
    治疗用药
        阿司匹林 73(98.4) 66(100.0) 0.999
        P2Y12受体拮抗剂 26(35.1) 23(34.9) 0.890
        他汀类 72(97.3) 66(100.0) 0.527
        β受体阻滞剂 60(81.1) 52(78.8) 0.735
        ACEI/ARB 41(55.4) 38(57.6) 0.796
        CCB 28(37.8) 33(50.0) 0.147
    临床诊断 0.331
        不稳定型心绞痛 60(81.1) 49(74.2)
        急性心肌梗死 14(18.9) 17(25.8)
    病变血管 0.271
        前降支 48(64.9) 48(72.7)
        回旋支 18(24.3) 9(13.6)
        右冠脉 8(10.8) 9(13.6)
    病变血管支数 0.979
        1支 36(48.6) 33(50.0)
        2支 19(25.7) 17(25.8)
        3支 19(25.7) 16(24.2)
    病变位置 0.785
        近段 48(64.9) 44(66.7)
        中段 21(28.4) 16(24.2)
        远段 5(6.7) 6(9.1)
    EF/% 59.23±8.15 58.71±7.74 0.548
    ACEI/ARB:血管紧张素转化酶抑制剂/血管紧张素Ⅱ受体拮抗剂;CCB:钙通道阻滞剂。
    下载: 导出CSV

    表 2  非分层斑块组和分层斑块组临床生化指标比较

    Table 2.  Comparison of biochemical indicators between the non-layered and layered plaque groups X±S, M(P25, P75)

    项目 非分层斑块组(74例) 分层斑块组(66例) P
    白细胞计数/(×109/L) 6.96±1.89 7.40±1.99 0.181
    红细胞计数/(×1012/L) 4.55±0.62 4.64±0.57 0.401
    血小板计数/(×109/L) 234.651±58.39 240.83±69.09 0.399
    RDW/% 12.52±0.55 13.30±1.04 <0.001
    血红蛋白/(g/L) 139.24±17.44 140.08±15.77 0.768
    白蛋白/(g/L) 41.93±3.31 43.17±4.30 0.056
    纤维蛋白原/(g/L) 0.72(0.45,1.64) 0.66(0.42,1.31) 0.478
    D-二聚体/(mg/L) 85.50(54.25,153.50) 83.50(52.75,138.50) 0.522
    尿素氮/(mmol/L) 5.79±2.77 5.79±1.42 0.991
    肌酐/(μmol/L) 82.29±26.01 75.00±23.55 0.549
    eGFR/(mL/min/1.73m2) 93.61±15.44 95.65±18.81 0.483
    总胆红素/(μmol/L) 12.82±4.05 13.68±5.33 0.288
    AST/(U/L) 27.93(17.48,39.11) 26.36(13.69,39.37) 0.799
    ALT/(U/L) 25.52(19.98,32,32) 26.67(18.86,34.27) 0.910
    TG/(mmol/L) 1.52(1.13,2.34) 1.65(1.14,2.45) 0.634
    TC/(mmol/L) 3.59±1.02 3.71±1.12 0.516
    HDL-C/(mmol/L) 1.01±0.21 0.89±0.25 0.006
    LDL-C/(mmol/L) 2.15±0.83 2.26±1.30 0.548
    NT-proBNP/(pg/L) 149.50(52.50,243.00) 158.50(56.50,250.00) 0.625
    AST:谷草转氨酶;ALT:谷丙转氨酶。
    下载: 导出CSV

    表 3  非分层斑块组和分层斑块组OCT参数比较

    Table 3.  Comparison of OCT parameters between the non-layered plaque and layered plaque groups 例(%), X±S, M(P25, P75)

    项目 非分层斑块组(74例) 分层斑块组(66例) P
    脂质弧/° 139.00(109.75,185.0) 146.00(92.75,198.50) 0.815
    纤维帽厚度/μm 120.00(60.00,212.50) 100.00(50.00,192.50) 0.229
    TCFA 25(33.8) 25(37.9) 0.492
    斑块破裂 5(6.8) 8(12.1) 0.275
    斑块侵蚀 8(10.8) 5(7.6) 0.510
    巨噬细胞分级 0.026
        0级 38(51.4) 19(28.8)
        1级 26(35.1) 33(50.0)
        2级 9(12.2) 10(15.2)
        3级 1(1.3) 4(6.0)
        4级 0(0) 0(0)
    胆固醇结晶 30(40.5) 37(56.1) 0.066
    滋养血管 28(37.8) 33(50.0) 0.147
    血栓 4(5.4) 13(19.7) 0.010
    钙化小结 3(4.1) 9(13.6) 0.034
    斑块类型 0.322
        纤维斑块 24(32.4) 18(27.3)
        脂质斑块 45(60.8) 39(59.1)
        钙化斑块 5(6.8) 9(13.6)
    最小管腔面积/mm2 2.11±0.75 1.88±0.70 0.176
    正常管腔面积/mm2 8.14±2.36 7.71±2.12 0.371
    狭窄率/% 75(60,90) 80(70,95) 0.021
    下载: 导出CSV

    表 4  分层斑块的多因素logistic回归分析

    Table 4.  Multivariate logistic regression analysis of layered plaques

    变量 B SE Wals P OR 95%CI
    性别 1.609 0.595 7.314 0.007 5.000 1.557~16.052
    年龄 -0.024 0.020 1.424 0.233 0.976 0.938~1.016
    BMI -0.005 0.066 0.005 0.942 0.995 0.874~1.144
    HDL-C 3.317 1.011 10.762 0.001 27.565 3.800~199.941
    RDW 1.723 0.365 22.268 0.001 5.601 2.738~11.458
    下载: 导出CSV

    表 5  RDW与斑块易损性的相关性分析

    Table 5.  Correlation analysis

    变量 RDW
    r P
    TCFA 0.565 <0.001
    斑块破裂 0.430 <0.001
    斑块侵蚀 0.030 0.100
    下载: 导出CSV
  • [1]

    Fracassi F, Crea F, Sugiyama T, et al. Healed Culprit Plaques in Patients With Acute Coronary Syndromes[J]. J Am Coll Cardiol, 2019, 73(18): 2253-2263. doi: 10.1016/j.jacc.2018.10.093

    [2]

    Burke AP, Kolodgie FD, Farb A, et al. Healed plaque ruptures and sudden coronary death: evidence that subclinical rupture has a role in plaque progression[J]. Circulation, 2001, 103(7): 934-940. doi: 10.1161/01.CIR.103.7.934

    [3]

    Kurihara O, Russo M, Kim HO, et al. Clinical significance of healed plaque detected by optical coherence tomography: a 2-year follow-up study[J]. J Thromb Thrombolysis, 2020, 50(4): 895-902. doi: 10.1007/s11239-020-02076-w

    [4]

    Salvagno GL, Sanchis-Gomar F, Picanza A, et al. Red blood cell distribution width: A simple parameter with multiple clinical applications[J]. Crit Rev Clin Lab Sci, 2015, 52(2): 86-105. doi: 10.3109/10408363.2014.992064

    [5]

    Jin P, Wu SJ, Ma Q, et al. The Relation Between Red Blood Cell Distribution Width and Coronary Atherosclerotic Plaque Vulnerability Detected by Intracoronary Optical Coherence Tomography[J]. Curr Vasc Pharmacol, 2022, 20(6): 501-507. doi: 10.2174/1570161120666220527093551

    [6]

    Ma FL, Li S, Li XL, et al. Correlation of red cell distribution width with the severity of coronary artery disease: a large Chinese cohort study from a single center[J]. Chin Med J(Engl), 2013, 126(6): 1053-1057.

    [7]

    Moriarty PM, Steg PG, McGinniss J, et al. Relation of red blood cell distribution width to risk of major adverse cardiovascular events, death, and effect of alirocumab after acute coronary syndromes[J]. J Clin Lipidol, 2022, 16(5): 747-756. . doi: 10.1016/j.jacl.2022.08.004

    [8]

    Ziada KM, Misumida N. In Vivo Identification of Healed Plaques in Culprit Lesions: Is What We're Seeing Really There?[J]. J Am Coll Cardiol, 2019, 73(18): 2264-2266. doi: 10.1016/j.jacc.2019.03.023

    [9]

    中华医学会心血管病学分会, 中华心血管病杂志编辑委员会. 非ST段抬高型急性冠状动脉综合征诊断和治疗指南(2016)[J]. 中华心血管病杂志, 2017, 45(5): 359-376. doi: 10.3760/cma.j.issn.0253-3758.2017.05.003

    [10]

    中华医学会心血管病学分会, 中华心血管病杂志编辑委员会. 急性ST段抬高型心肌梗死诊断和治疗指南(2019)[J]. 中华心血管病杂志, 2019(10): 766-783. https://www.cnki.com.cn/Article/CJFDTOTAL-ZJXB201709002.htm

    [11]

    Prati F, Regar E, Mintz GS, et al. Expert review document on methodology, terminology, and clinical applications of optical coherence tomography: physical principles, methodology of image acquisition, and clinical application for assessment of coronary arteries and atherosclerosis[J]. Eur Heart J, 2010, 31(4): 401-415. doi: 10.1093/eurheartj/ehp433

    [12]

    Tearney GJ, Regar E, Akasaka T, et al. Consensus standards for acquisition, measurement, and reporting of intravascular optical coherence tomography studies: a report from the International Working Group for Intravascular Optical Coherence Tomography Standardization and Validation[J]. J Am Coll Cardiol, 2012, 59(12): 1058-1072. doi: 10.1016/j.jacc.2011.09.079

    [13]

    Shimokado A, Matsuo Y, Kubo T, et al. In vivo optical coherence tomography imaging and histopathology of healed coronary plaques[J]. Atherosclerosis, 2018, 275: 35-42. doi: 10.1016/j.atherosclerosis.2018.05.025

    [14]

    Dai JN, Fang C, Zhang ST, et al. Frequency, Predictors, Distribution, and Morphological Characteristics of Layered Culprit and Nonculprit Plaques of Patients With Acute Myocardial Infarction: In Vivo 3-Vessel Optical Coherence Tomography Study[J]. Circ Cardiovasc Interv, 2020, 13(10): e009125.

    [15]

    Mann J, Davies MJ. Mechanisms of progression in native coronary artery disease: role of healed plaque disruption[J]. Heart, 1999, 82(3): 265-268. doi: 10.1136/hrt.82.3.265

    [16]

    Kimura S, Cho S, Misu Y, et al. Optical coherence tomography and coronary angioscopy assessment of healed coronary plaque components[J]. Int J Cardiovasc Imaging, 2021, 37(10): 2849-2859. doi: 10.1007/s10554-021-02287-z

    [17]

    Russo M, Kim HO, Kurihara O, et al. Characteristics of non-culprit plaques in acute coronary syndrome patients with layered culprit plaque[J]. Eur Heart J Cardiovasc Imaging, 2020, 21(12): 1421-1430. doi: 10.1093/ehjci/jez308

    [18]

    Russo M, Fracassi F, Kurihara O, et al. Healed Plaques in Patients With Stable Angina Pectoris[J]. Arterioscler Thromb Vasc Biol, 2020, 40(6): 1587-1597. doi: 10.1161/ATVBAHA.120.314298

    [19]

    Kurihara O, Shinohara H, Kim HO, et al. Comparison of post-stent optical coherence tomography findings: Layered versus non-layered culprit lesions[J]. Catheter Cardiovasc Interv, 2021, 97(7): 1320-1328. doi: 10.1002/ccd.28940

    [20]

    Crea F, Libby P. Acute Coronary Syndromes: The Way Forward From Mechanisms to Precision Treatment[J]. Circulation, 2017, 136(12): 1155-1166. doi: 10.1161/CIRCULATIONAHA.117.029870

    [21]

    韩娟, 华文龙. 红细胞分布宽度/血小板计数对多发性骨髓瘤预后预测价值的研究[J]. 临床血液学杂志, 2022, 35(2): 121-126. https://www.cnki.com.cn/Article/CJFDTOTAL-LCXZ202202009.htm

    [22]

    Pan J, Borné Y, Gonçalves I, et al. Associations of Red Cell Distribution Width With Coronary Artery Calcium in the General Population[J]. Angiology, 2022, 73(5): 445-452. doi: 10.1177/00033197211052124

    [23]

    Li N, Zhou H, Tang Q. Red Blood Cell Distribution Width: A Novel Predictive Indicator for Cardiovascular and Cerebrovascular Diseases[J]. Dis Markers, 2017, 2017: 7089493.

    [24]

    张林, 陈玥, 张宝红. 血小板-淋巴细胞比率、中性粒细胞-淋巴细胞比率及红细胞分布宽度在冠心病严重程度中的诊断价值[J]. 临床心血管病杂志, 2020, 36(9): 824-827. https://lcxxg.whuhzzs.com/article/doi/10.13201/j.issn.1001-1439.2020.09.010

    [25]

    Bujak K, Wasilewski J, Osadnik T, et al. The Prognostic Role of Red Blood Cell Distribution Width in Coronary Artery Disease: A Review of the Pathophysiology[J]. Dis Markers, 2015: 824624.

    [26]

    Inuzuka R, Abe J. Red blood cell distribution width as a link between ineffective erythropoiesis and chronic inflammation in heart failure[J]. Circ J, 2015, 79(5): 974-975. doi: 10.1253/circj.CJ-15-0254

    [27]

    Montagnana M, Cervellin G, Meschi T, et al. The role of red blood cell distribution width in cardiovascular and thrombotic disorders[J]. Clin Chem Lab Med, 2011, 50(4): 635-641.

  • 加载中

(2)

(5)

计量
  • 文章访问数:  1107
  • PDF下载数:  197
  • 施引文献:  0
出版历程
收稿日期:  2023-04-13
刊出日期:  2023-09-13

目录